feat: dir structure

.github/workflows/ci.yml

@@ -1,45 +1,108 @@
-name: CI/CD Pipeline for Emotion Recognition
+name: Update data and Update model with Hugging Face
 
 on:
+  # schedule:
+  #   - cron: '0 0 * * *' # This cron expression runs the job daily
+  # workflow_dispatch:
   push:
     branches:
       - main
-  pull_request:
-    branches:
-      - main
 
 jobs:
-  build:
+  crawl:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4.1.6
+        with:
+          ref: main
+
+      - name: Setup Python
+        uses: actions/setup-python@v5.1.0
+        with:
+          python-version: 3.11
+
+      - name: Install Dependencies
+        run: |
+          python -m pip install --upgrade pip 
+          if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+
+      - name: Run update
+        run: python ./main/main_update.py
+
+      - name: Upload output
+        uses: actions/upload-artifact@v4
+        with:
+          name: movies_data.csv
+          path: merge_data/movies_data.csv
+
+  update_model:
     runs-on: ubuntu-latest
+    needs: crawl
 
     steps:
-    - name: Checkout repository
-      uses: actions/checkout@v2
-
-    - name: Set up Python
-      uses: actions/setup-python@v2
-      with:
-        python-version: '3.9'
-
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install -r requirements.txt
-
-    - name: Run tests
-      run: |
-        pytest --maxfail=1 --disable-warnings -q
-
-    - name: Train model
-      run: |
-        python src/models/train_model.py
-
-    - name: Upload trained model to Hugging Face (optional)
-      run: |
-        huggingface-cli login ${{ secrets.HUGGINGFACE_TOKEN }}
-        python src/models/upload_model.py
-
-    - name: Deploy to Hugging Face Space or other platform (optional)
-      run: |
-        # Deploy logic, e.g., push model to Hugging Face Spaces
-        # python deploy.py
+      - name: Checkout
+        uses: actions/checkout@v4.1.6
+        with:
+          ref: main
+
+      - name: Setup Python
+        uses: actions/setup-python@v5.1.0
+        with:
+          python-version: 3.11
+          
+      - name: Install Dependencies
+        run: |
+          python -m pip install --upgrade pip 
+          pip install transformers datasets huggingface_hub
+          if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+
+      - name: Download artifact
+        uses: actions/download-artifact@v4
+        with:
+          name: movies_data.csv
+          path: merge_data/
+
+      - name: Update model using Hugging Face
+        run: |
+          # Download a pre-trained model from Hugging Face
+          from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+          model_name = "distilbert-base-uncased"
+          tokenizer = AutoTokenizer.from_pretrained(model_name)
+          model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+          # Your custom model training or updating logic
+          python update_model.py
+
+          # Save updated model to Hugging Face Hub (Optional)
+          from huggingface_hub import HfApi, Repository
+          repo = Repository(local_dir="./model_output", clone_from="your-hf-username/your-model-name")
+          repo.push_to_hub(commit_message="Updated model")
+
+      - name: Commit and push artifacts
+        env: 
+          GH_PAT: ${{ secrets.GH_PAT }}
+        run: |
+          git config --global user.name 'github-actions[bot]'
+          git config --global user.email '41898282+github-actions[bot]@users.noreply.github.com'
+          git add model_efa/*.pkl
+          git add merge_data/final_merged.csv
+          git commit -m 'Update .pkl files in model_efa directory'
+          git push https://x-access-token:${{ secrets.GH_PAT }}@github.com/QuanTH02/2023.2-Data-Science.git main
+        continue-on-error: true
+  
+  # pull_main:
+  #   runs-on: [self-hosted, quan_win]
+  #   needs: [crawl, update_model]
+
+  #   steps:
+  #     - name: Checkout code
+  #       uses: actions/checkout@v4.1.6
+  #       with:
+  #         ref: main
+
+  #     - name: Pull latest changes
+  #       run: |
+  #         git pull origin main

Dockerfile

@@ -2,7 +2,6 @@
 FROM python:3.9-slim
 
 # Bước 2: Cài đặt các thư viện hệ thống cần thiết (nếu có)
-# Cài đặt các thư viện như build-essential, git, và các công cụ khác nếu cần thiết cho môi trường
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
     build-essential \
@@ -13,7 +12,6 @@ RUN apt-get update && \
 WORKDIR /app
 
 # Bước 4: Copy file requirements.txt vào container
-# Đây là nơi bạn liệt kê tất cả các thư viện Python cần thiết cho dự án
 COPY requirements.txt requirements.txt
 
 # Bước 5: Cài đặt các thư viện Python từ requirements.txt
@@ -23,18 +21,13 @@ RUN pip install --no-cache-dir -r requirements.txt
 COPY . .
 
 # Bước 7: Tiền xử lý dữ liệu (nếu có)
-# Chạy một script Python để xử lý dữ liệu trước khi huấn luyện (nếu cần)
-# Ví dụ: python src/data/preprocessing.py
 RUN python src/data/preprocessing.py
 
 # Bước 8: Huấn luyện mô hình
-# Chạy một script Python để huấn luyện mô hình
-# Ví dụ: python src/models/train.py
 RUN python src/models/train.py
 
 # Bước 9: Expose cổng cho ứng dụng web (nếu sử dụng Gradio, Flask hoặc FastAPI)
 EXPOSE 7860
 
 # Bước 10: Chạy ứng dụng khi container bắt đầu
-# Ví dụ: Nếu sử dụng Gradio cho giao diện người dùng
 CMD ["python", "app.py"]

data/crawl/critic_metascore/crawl_all.py

@@ -0,0 +1,99 @@
+from crawl_rottentomatoes import *
+from crawl_metacritic import *
+import csv
+
+def score(critic_vote_metacritic, meta_score_metacritic, critic_vote_rotten, meta_score_rotten):
+    # print("Critic vote metacritic:", critic_vote_metacritic)
+    # print("Meta score metacritic:", meta_score_metacritic)
+    # print("Critic vote rotten:", critic_vote_rotten)
+    # print("Meta score rotten:", meta_score_rotten)
+
+    metacritic_sum = critic_vote_metacritic*meta_score_metacritic
+    rotten_sum = critic_vote_rotten*meta_score_rotten
+
+    critic_vote_sum = critic_vote_metacritic + critic_vote_rotten
+
+    return critic_vote_sum, "{:.2f}".format((metacritic_sum+rotten_sum)/critic_vote_sum)
+
+if __name__ == "__main__":
+    df = pd.read_csv("../merge_data/imdb_merged8.csv")
+    movie_name_list = df["movie_name"].tolist()
+    month_list = df["month"].tolist()
+    year_list = df["year"].tolist()
+
+    for i, month in enumerate(month_list):
+        if pd.isnull(month):
+            month_list[i] = ""
+        else:
+            month_list[i] = int(month)
+
+    for i, year in enumerate(year_list):
+        if pd.isnull(year):
+            year_list[i] = ""
+        else:
+            year_list[i] = int(year)
+
+    with open("data/data8.csv", 'w', newline='', encoding='utf-8') as csvfile:
+        fields = ['movie_name','month','year','critic_vote_metacritic', 'meta_score_metacritic', 'critic_vote_rotten', 'meta_score_rotten', 'critic_vote', 'meta_score']
+        writer = csv.DictWriter(csvfile, fieldnames=fields)
+        writer.writeheader()
+
+        for movie_name in movie_name_list:
+            data = {}
+
+            if movie_name:
+                print(str(movie_name_list.index(movie_name) + 1) + ". " + movie_name)
+
+                # Metacritic
+                url = "https://www.metacritic.com/search/" + edit_movie_name(movie_name) + "/?page=1&category=2"
+                response = requests.get(url, headers=headers)
+
+                if response.status_code == 200:
+                    soup = BeautifulSoup(response.text, "html.parser")
+                    critic_vote_metacritic, meta_score_metacritic = page_search_metacritic(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                    critic_vote_metacritic = string_to_num(critic_vote_metacritic)
+                    meta_score_metacritic = string_to_num(meta_score_metacritic)
+
+                    print("Critic vote metacritic:", critic_vote_metacritic)
+                    print("Meta score metacritic:", meta_score_metacritic)
+                else:
+                    print("Failed to fetch data:", response.status_code)
+                    continue
+
+                # Rottentomatoes
+                url = "https://www.rottentomatoes.com/search?search=" + movie_name + "/"
+                response = requests.get(url, headers=headers)
+
+                if response.status_code == 200:
+                    soup = BeautifulSoup(response.text, "html.parser")
+                    critic_vote_rotten, meta_score_rotten = page_search_rottentomatoes(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                    critic_vote_rotten = string_to_num(critic_vote_rotten)
+                    meta_score_rotten = string_to_num(meta_score_rotten)
+                    print("Critic vote rotten:", critic_vote_rotten)
+                    print("Meta score rotten:", meta_score_rotten)
+                else:
+                    print("Failed to fetch data:", response.status_code)
+
+                print("--------------------------------------------")
+
+                if critic_vote_metacritic and critic_vote_rotten:
+                    critic_vote, meta_score = score(int(critic_vote_metacritic), int(meta_score_metacritic), int(critic_vote_rotten), int(meta_score_rotten))
+                elif critic_vote_metacritic:
+                    critic_vote, meta_score = score(int(critic_vote_metacritic), int(meta_score_metacritic), 0, 0)
+                elif critic_vote_rotten:
+                    critic_vote, meta_score = score(0, 0, int(critic_vote_rotten), int(meta_score_rotten))
+                else:
+                    critic_vote, meta_score = 0, 0
+
+                data['movie_name'] = movie_name
+                data['month'] = month_list[movie_name_list.index(movie_name)]
+                data['year'] = year_list[movie_name_list.index(movie_name)]
+                data['critic_vote_metacritic'] = critic_vote_metacritic
+                data['meta_score_metacritic'] = meta_score_metacritic
+                data['critic_vote_rotten'] = critic_vote_rotten
+                data['meta_score_rotten'] = meta_score_rotten
+                data['critic_vote'] = critic_vote
+                data['meta_score'] = meta_score
+
+                writer.writerow(data)
+

data/crawl/critic_metascore/crawl_metacritic.py

@@ -0,0 +1,114 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import re
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111"
+headers = {"User-Agent": user_agent, "Accept-Language": "en-US,en;q=0.5"}
+
+# CRAWL: 
+
+# critic_vote
+# meta_score
+
+def edit_movie_name(movie_name):
+    movie_name = re.sub(r'[^a-zA-Z0-9]+', '-', movie_name).strip('-')
+    return movie_name.lower()
+
+def page_search_metacritic(soup, movie_title, year_release):
+    all_div_elements = soup.find_all("div", {"class": "g-grid-container u-grid-columns"})
+    for div_element in all_div_elements:
+        p_movie_name_element = div_element.find("p", {"class": "g-text-medium-fluid g-text-bold g-outer-spacing-bottom-small u-text-overflow-ellipsis"})
+        movie_name = p_movie_name_element.text.strip()
+
+        div_year_element = div_element.find("div", {"class": "u-flexbox u-flexbox-alignCenter u-flexbox-nowrap g-gap-medium g-text-xxxsmall"})
+
+        if len(div_year_element.find_all("span")) < 2:
+            continue
+
+        gen = div_year_element.find_all("span")[0].text.strip()
+        year = div_year_element.find_all("span")[1].text.strip()
+
+        if gen == "movie" and str(year) == str(year_release):
+            # print(movie_name)
+            # print(gen)
+            # print(year)
+            # print(year_release)
+            
+            # print(movie_name)
+            # print(movie_title)
+
+            link_to_movie_element = div_element.find("a", recursive=False)
+            link_to_movie = link_to_movie_element["href"]
+
+            url_to_movie = "https://www.metacritic.com" + link_to_movie
+            # print(url_to_movie)
+
+            response = requests.get(url_to_movie, headers=headers)
+
+            if response.status_code == 200:
+                soup_new = BeautifulSoup(response.text, "html.parser")
+                # crawl_metacritic(soup_new)
+                critic_vote, meta_score = crawl_metacritic(soup_new)
+                return critic_vote, meta_score
+            else:
+                print("Failed to fetch data:", response.status_code)
+            break
+
+    return "", ""
+
+def string_to_num(quan_str):
+    number_match = re.search(r'\d{1,3}(?:,\d{3})*', quan_str)
+    if number_match:
+        number = number_match.group().replace(',', '')
+        return number
+    else:
+        return None
+
+def crawl_metacritic(soup):
+    span_quan_elements = soup.find_all("span", {"class": "c-productScoreInfo_reviewsTotal u-block"})
+    div_score_elements = soup.find_all("div", {"class": "c-productScoreInfo_scoreNumber u-float-right"})
+
+    if not span_quan_elements:
+        return "", ""
+
+    critic_vote = string_to_num(span_quan_elements[0].text)
+    meta_score = div_score_elements[0].text.strip()
+
+    # print("Critic vote: " + critic_vote)
+    # print("Meta score: " + meta_score)
+
+    return critic_vote, meta_score
+   
+                
+if __name__ == "__main__":
+    df = pd.read_csv("../mojo/data/test1.csv")
+    movie_name_list = df["movie_name"].tolist()
+    year_list = df["year"].tolist()
+
+
+    for movie_name in movie_name_list:
+        if movie_name:
+            print(str(movie_name_list.index(movie_name) + 2) + ". " + movie_name)
+            url = "https://www.metacritic.com/movie/" + edit_movie_name(movie_name) + "/"
+            # print(url)
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.text, "html.parser")
+                crawl_metacritic(soup)
+            else:
+                url_new = "https://www.metacritic.com/search/" + edit_movie_name(movie_name) + "/?page=1&category=2"
+                # print(url_new)
+                
+                response_new = requests.get(url_new, headers=headers)
+                
+                if response_new.status_code == 200:
+                    # print("OK NEW")
+                    soup = BeautifulSoup(response_new.text, "html.parser")
+                    page_search_metacritic(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                else:
+                    print("Failed to fetch data:", response_new.status_code)
+                    continue
+
+            print("\n-------------------------------")

data/crawl/critic_metascore/crawl_rottentomatoes.py

@@ -0,0 +1,105 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import re
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111"
+headers = {"User-Agent": user_agent, "Accept-Language": "en-US,en;q=0.5"}
+
+# CRAWL:
+
+# critic_vote
+# meta_score
+
+def string_to_num(quan_str):
+    number_match = re.search(r'\d{1,3}(?:,\d{3})*', quan_str)
+    if number_match:
+        number = number_match.group().replace(',', '')
+        return number
+    else:
+        return None
+
+def page_search_rottentomatoes(soup, movie_title, year_release):
+    search_results_element = soup.find("search-page-result", {"type": "movie"})
+
+    if search_results_element is None:
+        return "", ""
+
+    all_results_elements = search_results_element.find_all("search-page-media-row")
+
+    for results_element in all_results_elements:
+        title_element = results_element.find("a", {"data-qa": "info-name"})
+
+        movie_name = title_element.text.strip()
+        year = results_element["releaseyear"].strip()
+
+        # print("Movie name:", movie_name)
+        # print("Year:", year)
+
+        if str(year) == str(year_release) and str(movie_name) == str(movie_title):
+            # print("Found the movie")
+            url = title_element["href"]
+
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup_cv = BeautifulSoup(response.text, "html.parser")
+                critic_vote, meta_score = crawl_rottentomatoes(soup_cv)
+                return critic_vote, meta_score
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+            break
+
+    return "", ""
+
+        # if (all_results_elements.index(results_element) + 1) == len(all_results_elements):
+        #     for results_element_new in all_results_elements:
+        #         year_new = results_element_new["releaseyear"].strip()
+        #         title_element_new = results_element_new.find("a", {"data-qa": "info-name"})
+
+        #         if str(year_new) == str(year_release):
+        #             url_new = title_element_new["href"]
+        #             response_new = requests.get(url_new, headers=headers)
+
+        #             if response_new.status_code == 200:
+        #                 soup_new = BeautifulSoup(response_new.text, "html.parser")
+        #                 critic_vote, meta_score = crawl_rottentomatoes(soup_new)
+        #                 return critic_vote, meta_score
+        #             else:
+        #                 print("Failed to fetch data:", response_new.status_code)
+
+        #             break
+
+def crawl_rottentomatoes(soup):
+    # print("Crawling Rottentomatoes")
+    div_score_element = soup.find("div", {"class": "media-scorecard"})
+
+    critic_vote = div_score_element.find("rt-link", {"slot": "criticsReviews"}).text.strip()
+    meta_score = div_score_element.find("rt-button", {"slot": "criticsScore"}).text.strip().replace("%", "")
+    
+    # print("Critic vote:", string_to_num(critic_vote))
+    # print("Meta score:", string_to_num(meta_score))
+
+    return critic_vote, meta_score
+                
+if __name__ == "__main__":
+    df = pd.read_csv("../mojo/data/test1.csv")
+    movie_name_list = df["movie_name"].tolist()
+    year_list = df["year"].tolist()
+
+    for movie_name in movie_name_list:
+        if movie_name:
+            print("Movie name:", movie_name)
+            url = "https://www.rottentomatoes.com/search?search=" + movie_name + "/"
+            # print(url)
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.text, "html.parser")
+                page_search_rottentomatoes(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                # break
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+            print("--------------------------------------------")

data/crawl/critic_metascore/metacritic/crawl.py

@@ -0,0 +1,99 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import re
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111"
+headers = {"User-Agent": user_agent, "Accept-Language": "en-US,en;q=0.5"}
+
+# CRAWL: 
+
+# critic_vote
+# meta_score
+
+def edit_movie_name(movie_name):
+    movie_name = re.sub(r'[^a-zA-Z0-9]+', '-', movie_name).strip('-')
+    return movie_name.lower()
+
+def page_search(soup, movie_title, year_release):
+    all_div_elements = soup.find_all("div", {"class": "g-grid-container u-grid-columns"})
+    for div_element in all_div_elements:
+        p_movie_name_element = div_element.find("p", {"class": "g-text-medium-fluid g-text-bold g-outer-spacing-bottom-small u-text-overflow-ellipsis"})
+        movie_name = p_movie_name_element.text.strip()
+
+        div_year_element = div_element.find("div", {"class": "u-flexbox u-flexbox-alignCenter u-flexbox-nowrap g-gap-medium g-text-xxxsmall"})
+
+        gen = div_year_element.find_all("span")[0].text.strip()
+        year = div_year_element.find_all("span")[1].text.strip()
+
+        if gen == "movie" and str(year) == str(year_release):
+            # print(movie_name)
+            # print(gen)
+            # print(year)
+
+            link_to_movie_element = div_element.find("a", recursive=False)
+            link_to_movie = link_to_movie_element["href"]
+
+            url_to_movie = "https://www.metacritic.com" + link_to_movie
+            # print(url_to_movie)
+
+            response = requests.get(url_to_movie, headers=headers)
+
+            if response.status_code == 200:
+                soup_new = BeautifulSoup(response.text, "html.parser")
+                crawl_metacritic(soup_new)
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+            break
+
+def string_to_num(quan_str):
+    number_match = re.search(r'\d{1,3}(?:,\d{3})*', quan_str)
+    if number_match:
+        number = number_match.group().replace(',', '')
+        return number
+    else:
+        return None
+
+def crawl_metacritic(soup):
+    span_quan_elements = soup.find_all("span", {"class": "c-productScoreInfo_reviewsTotal u-block"})
+    div_score_elements = soup.find_all("div", {"class": "c-productScoreInfo_scoreNumber u-float-right"})
+
+    critic_vote = string_to_num(span_quan_elements[0].text)
+    meta_score = div_score_elements[0].text.strip()
+
+    print("Critic vote: " + critic_vote)
+    print("Meta score: " + meta_score)
+   
+                
+if __name__ == "__main__":
+    df = pd.read_csv("../mojo/data/test1.csv")
+    movie_name_list = df["movie_name"].tolist()
+    year_list = df["year"].tolist()
+
+
+    for movie_name in movie_name_list:
+        if movie_name:
+            print(str(movie_name_list.index(movie_name) + 2) + ". " + movie_name)
+            url = "https://www.metacritic.com/movie/" + edit_movie_name(movie_name) + "/"
+            # print(url)
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.text, "html.parser")
+                crawl_metacritic(soup)
+            else:
+                url_new = "https://www.metacritic.com/search/" + edit_movie_name(movie_name) + "/?page=1&category=2"
+                # print(url_new)
+                
+                response_new = requests.get(url_new, headers=headers)
+                
+                if response_new.status_code == 200:
+                    # print("OK NEW")
+                    soup = BeautifulSoup(response_new.text, "html.parser")
+                    page_search(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                else:
+                    print("Failed to fetch data:", response_new.status_code)
+                    continue
+
+            print("\n-------------------------------")

data/crawl/critic_metascore/rottentomatoes/crawl.py

@@ -0,0 +1,97 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import re
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111"
+headers = {"User-Agent": user_agent, "Accept-Language": "en-US,en;q=0.5"}
+
+# CRAWL:
+
+# critic_vote
+# meta_score
+
+def string_to_num(quan_str):
+    number_match = re.search(r'\d{1,3}(?:,\d{3})*', quan_str)
+    if number_match:
+        number = number_match.group().replace(',', '')
+        return number
+    else:
+        return None
+
+def page_search(soup, movie_title, year_release):
+    search_results_element = soup.find("search-page-result", {"type": "movie"})
+
+    all_results_elements = search_results_element.find_all("search-page-media-row")
+
+    for results_element in all_results_elements:
+        title_element = results_element.find("a", {"data-qa": "info-name"})
+
+        movie_name = title_element.text.strip()
+        year = results_element["releaseyear"].strip()
+
+        # print("Movie name:", movie_name)
+        # print("Year:", year)
+
+        if str(year) == str(year_release) and str(movie_name) == str(movie_title):
+            # print("Found the movie")
+            url = title_element["href"]
+
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup_cv = BeautifulSoup(response.text, "html.parser")
+                crawl_rottentomatoes(soup_cv)
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+            break
+
+        if (all_results_elements.index(results_element) + 1) == len(all_results_elements):
+            for results_element_new in all_results_elements:
+                year_new = results_element_new["releaseyear"].strip()
+                title_element_new = results_element_new.find("a", {"data-qa": "info-name"})
+
+                if str(year_new) == str(year_release):
+                    url_new = title_element_new["href"]
+                    response_new = requests.get(url_new, headers=headers)
+
+                    if response_new.status_code == 200:
+                        soup_new = BeautifulSoup(response_new.text, "html.parser")
+                        crawl_rottentomatoes(soup_new)
+                    else:
+                        print("Failed to fetch data:", response_new.status_code)
+
+                    break
+
+def crawl_rottentomatoes(soup):
+    # print("Crawling Rottentomatoes")
+    div_score_element = soup.find("div", {"class": "media-scorecard"})
+
+    critic_vote = div_score_element.find("rt-link", {"slot": "criticsReviews"}).text.strip()
+    meta_score = div_score_element.find("rt-button", {"slot": "criticsScore"}).text.strip().replace("%", "")
+    
+
+    print("Critic vote:", string_to_num(critic_vote))
+    print("Meta score:", string_to_num(meta_score))
+                
+if __name__ == "__main__":
+    df = pd.read_csv("../mojo/data/test1.csv")
+    movie_name_list = df["movie_name"].tolist()
+    year_list = df["year"].tolist()
+
+    for movie_name in movie_name_list:
+        if movie_name:
+            print("Movie name:", movie_name)
+            url = "https://www.rottentomatoes.com/search?search=" + movie_name + "/"
+            # print(url)
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.text, "html.parser")
+                page_search(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                # break
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+            print("--------------------------------------------")

data/crawl/imdb/crawl.py

@@ -0,0 +1,255 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+import time
+from selenium.common.exceptions import StaleElementReferenceException
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+import csv
+
+
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111"
+headers = {"User-Agent": user_agent, "Accept-Language": "en-US,en;q=0.5"}
+
+# CRAWL:
+
+# ratings
+# user_vote
+# country
+# genres
+
+check_search_imdb_slenium = False
+check_search_imdb_requests = False
+
+genres = []
+country = []
+ratings = []
+user_vote = []
+
+def loop():
+    driver_check = webdriver.Chrome()
+    try:
+        if driver_check.find_element(By.CSS_SELECTOR, "li[data-testid='storyline-genres']"):
+            return
+    except StaleElementReferenceException:
+        pass
+    
+    time.sleep(0.5)
+    loop(driver_check)
+
+# Crawl country IMDB
+def crawl_imdb_request(soup):
+    user_vote_and_rating_element = soup.find("div", {"data-testid": "hero-rating-bar__aggregate-rating"})
+
+    # ratings
+    rate = user_vote_and_rating_element.find("div", {"class": "sc-bde20123-2 cdQqzc"}).text.split("/")[0].strip()
+
+    # user_vote
+    vote = user_vote_and_rating_element.find("div", {"class": "sc-bde20123-3 gPVQxL"}).text.replace("K", "000").replace("M", "000000").replace(".", "")
+
+    ratings.append(rate)
+    user_vote.append(vote)
+    # print("Rating: " + ratings)
+    # print("User vote: " + user_vote)
+
+    li_country_element = soup.find("li",{'data-testid': "title-details-origin"})
+
+    if li_country_element != None:
+        ul_element = li_country_element.find("ul")
+
+        all_country_li_element = ul_element.find_all("li")
+
+        # country
+        for country_li in all_country_li_element:
+            country.append(country_li.text)
+
+    # if len(country) > 0:
+    #     print("Country: " + ' '.join(country))
+
+# Crawl genres and country IMDB
+def crawl_imdb_selenium(url):
+    # genres = []
+    # country = []
+
+    driver = webdriver.Chrome()
+    driver.maximize_window()
+    driver.get(url)
+    time.sleep(1)
+    driver.execute_script("window.scrollTo(0, 5000);")
+    time.sleep(2)
+
+    tag_storyline_element = driver.find_element(By.CSS_SELECTOR, "div[data-testid='storyline-header']").find_element(By.XPATH, "./..")
+    driver.execute_script("arguments[0].scrollIntoView();", tag_storyline_element)
+    
+    # loop()
+
+    li_all_genres_element = WebDriverWait(driver,100).until(EC.presence_of_element_located(
+        (By.CSS_SELECTOR, "li[data-testid='storyline-genres']")))
+    
+    if li_all_genres_element:
+        ul_genres_element = li_all_genres_element.find_element(By.TAG_NAME, "ul")
+        li_genres_elements = ul_genres_element.find_elements(By.TAG_NAME, "li")
+
+        for li_genres in li_genres_elements:
+            genres.append(li_genres.text)
+
+    tag_detail_element = driver.find_element(By.CSS_SELECTOR, "div[data-testid='title-details-header']").find_element(By.XPATH, "./..")
+
+    if tag_detail_element.find_element(By.CSS_SELECTOR, "li[data-testid='title-details-origin']"):
+        li_country_element = tag_detail_element.find_element(By.CSS_SELECTOR, "li[data-testid='title-details-origin']")
+        ul_country_element = li_country_element.find_element(By.TAG_NAME, "ul")
+        li_country_elements = ul_country_element.find_elements(By.TAG_NAME, "li")
+
+        for li_country in li_country_elements:
+            country.append(li_country.text)
+
+    user_vote_and_rating_element = driver.find_element(By.CSS_SELECTOR, "div[data-testid='hero-rating-bar__aggregate-rating']")
+
+    # ratings
+    rate = user_vote_and_rating_element.find_element(By.CSS_SELECTOR, "div[class='sc-bde20123-2 cdQqzc']").text.split("/")[0].strip()
+
+    # user_vote
+    vote = user_vote_and_rating_element.find_element(By.CSS_SELECTOR, "div[class='sc-bde20123-3 gPVQxL']").text.replace("K", "000").replace("M", "000000").replace(".", "")
+
+    ratings.append(rate)
+    user_vote.append(vote)
+    
+    # if len(genres) > 0:
+    #     print("Genres: " + ' '.join(genres))
+    # if len(country) > 0:
+    #     print("Country: " + ' '.join(country))
+    
+    driver.close()
+ 
+# Search movie in imdb
+def page_search_imdb(soup_search, movie_title, year_release):
+    year_release = int(year_release)
+    result_element = soup_search.find("ul", {"class": "ipc-metadata-list--base"})
+
+    if result_element != None:
+        all_li_results = result_element.find_all("li", recursive=False)
+
+        for result in all_li_results:
+            # print(result.text)
+            if result.find("a", {"class": "ipc-metadata-list-summary-item__t"}):
+                movie_title_element = result.find("a", {"class": "ipc-metadata-list-summary-item__t"})
+            else:
+                continue
+            
+            movie_name = movie_title_element.text
+
+            if result.find("span", {"class": "ipc-metadata-list-summary-item__li"}):
+                year = result.find("span", {"class": "ipc-metadata-list-summary-item__li"}).text
+            else:
+                continue
+
+            # print("\n" + movie_name + " - "  + year)
+            # print(movie_title + " - " + str(year_release))
+
+            if str(year) == str(year_release) and str(movie_name) == str(movie_title):
+                # url
+                url = "https://www.imdb.com" + movie_title_element["href"]
+                if check_search_imdb_requests:
+                    response = requests.get(url, headers=headers)
+                    if response.status_code == 200:
+                        soup = BeautifulSoup(response.content, 'html.parser')
+                        crawl_imdb_request(soup)
+                    else:
+                        print("Failed to fetch data:", response.status_code)
+                elif check_search_imdb_slenium:
+                    crawl_imdb_selenium(url)
+
+                break
+
+def search_imdb(movie_name, year_release):
+    # print("\n" + str(movie_name) + " - " + str(year_release))
+    url = "https://www.imdb.com/find/?q=" + movie_name + "&s=tt&ttype=ft&ref_=fn_ft"
+    response = requests.get(url, headers=headers)
+    # print(url)
+
+    if response.status_code == 200:
+        soup = BeautifulSoup(response.content, 'html.parser')
+        # print(sosup)
+        page_search_imdb(soup, movie_name, year_release)
+    else:
+        print("Failed to fetch data:", response.status_code)
+
+if __name__ == "__main__":
+    df = pd.read_csv("../merge_data/long.csv")
+    url_title_list = df["tt_id"].tolist()
+    movie_name_list = df["movie_name"].tolist()
+    month_list = df["month"].tolist()
+    year_list = df["year"].tolist()
+
+    genres_list = df["genres"].tolist()
+    country_list = df["country"].tolist()
+
+    # print(movie_name_list)
+    # print(url_title_list)
+
+    with open("data/data_long_new.csv", 'w', newline='', encoding='utf-8') as csvfile:
+        fields = ['movie_name', 'month', 'year', 'ratings', 'user_vote', 'genres', 'country']
+        writer = csv.DictWriter(csvfile, fieldnames=fields)
+        writer.writeheader()
+
+        for movie_name in movie_name_list:
+            data = {}
+            print(str(movie_name_list.index(movie_name)) + ". Movie: " + movie_name_list[movie_name_list.index(movie_name)])
+
+           
+            if pd.isnull(country_list[movie_name_list.index(movie_name)]) and pd.isnull(genres_list[movie_name_list.index(movie_name)]):
+                check_search_imdb_slenium = True
+            elif pd.isnull(country_list[movie_name_list.index(movie_name)]):
+                check_search_imdb_requests = True
+            elif pd.isnull(genres_list[movie_name_list.index(movie_name)]):
+                check_search_imdb_slenium = True
+
+            if pd.isnull(url_title_list[movie_name_list.index(movie_name)]):
+                search_imdb(movie_name_list[movie_name_list.index(movie_name)], year_list[movie_name_list.index(movie_name)])
+            else:
+                url = "https://www.imdb.com/title/" + url_title_list[movie_name_list.index(movie_name)] + "/"
+                response = requests.get(url, headers=headers)
+
+                if response.status_code == 200:
+                    soup = BeautifulSoup(response.content, 'html.parser')
+                    crawl_imdb_request(soup)
+                else:
+                    print("Failed to fetch data:", response.status_code)
+
+            check_search_imdb_slenium = False
+            check_search_imdb_requests = False
+
+            data['movie_name'] = movie_name
+            data['month'] = month_list[movie_name_list.index(movie_name)]
+            data['year'] = year_list[movie_name_list.index(movie_name)]
+
+            if not pd.isnull(country_list[movie_name_list.index(movie_name)]):
+                country = []
+
+            if not pd.isnull(genres_list[movie_name_list.index(movie_name)]):
+                genres = []
+
+            if len(ratings) > 0:
+                print("Rating: " + ratings[0])
+                data['ratings'] = ratings[0]
+            if len(user_vote) > 0:
+                print("User vote: " + user_vote[0])
+                data['user_vote'] = user_vote[0]
+            if len(genres) > 0:
+                print("Genres: " + ' '.join(genres))
+                data['genres'] = ' '.join(genres)
+            if len(country) > 0:
+                print("Country: " + ' '.join(country))
+                data['country'] = ' '.join(country)
+
+            ratings = []
+            user_vote = []
+            genres = []
+            country = []
+
+            writer.writerow(data)
+
+            print("-----------------------------------------------")

data/crawl/main/crawl_metacritic.py

@@ -0,0 +1,114 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import re
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111"
+headers = {"User-Agent": user_agent, "Accept-Language": "en-US,en;q=0.5"}
+
+# CRAWL: 
+
+# critic_vote
+# meta_score
+
+def edit_movie_name(movie_name):
+    movie_name = re.sub(r'[^a-zA-Z0-9]+', '-', movie_name).strip('-')
+    return movie_name.lower()
+
+def page_search_metacritic(soup, movie_title, year_release):
+    all_div_elements = soup.find_all("div", {"class": "g-grid-container u-grid-columns"})
+    for div_element in all_div_elements:
+        p_movie_name_element = div_element.find("p", {"class": "g-text-medium-fluid g-text-bold g-outer-spacing-bottom-small u-text-overflow-ellipsis"})
+        movie_name = p_movie_name_element.text.strip()
+
+        div_year_element = div_element.find("div", {"class": "u-flexbox u-flexbox-alignCenter u-flexbox-nowrap g-gap-medium g-text-xxxsmall"})
+
+        if len(div_year_element.find_all("span")) < 2:
+            continue
+
+        gen = div_year_element.find_all("span")[0].text.strip()
+        year = div_year_element.find_all("span")[1].text.strip()
+
+        if gen == "movie" and str(year) == str(year_release):
+            # print(movie_name)
+            # print(gen)
+            # print(year)
+            # print(year_release)
+            
+            # print(movie_name)
+            # print(movie_title)
+
+            link_to_movie_element = div_element.find("a", recursive=False)
+            link_to_movie = link_to_movie_element["href"]
+
+            url_to_movie = "https://www.metacritic.com" + link_to_movie
+            # print(url_to_movie)
+
+            response = requests.get(url_to_movie, headers=headers)
+
+            if response.status_code == 200:
+                soup_new = BeautifulSoup(response.text, "html.parser")
+                # crawl_metacritic(soup_new)
+                critic_vote, meta_score = crawl_metacritic(soup_new)
+                return critic_vote, meta_score
+            else:
+                print("Failed to fetch data:", response.status_code)
+            break
+
+    return "", ""
+
+def string_to_num(quan_str):
+    number_match = re.search(r'\d{1,3}(?:,\d{3})*', quan_str)
+    if number_match:
+        number = number_match.group().replace(',', '')
+        return number
+    else:
+        return None
+
+def crawl_metacritic(soup):
+    span_quan_elements = soup.find_all("span", {"class": "c-productScoreInfo_reviewsTotal u-block"})
+    div_score_elements = soup.find_all("div", {"class": "c-productScoreInfo_scoreNumber u-float-right"})
+
+    if not span_quan_elements:
+        return "", ""
+
+    critic_vote = string_to_num(span_quan_elements[0].text)
+    meta_score = div_score_elements[0].text.strip()
+
+    # print("Critic vote: " + critic_vote)
+    # print("Meta score: " + meta_score)
+
+    return critic_vote, meta_score
+   
+                
+if __name__ == "__main__":
+    df = pd.read_csv("../mojo/data/test1.csv")
+    movie_name_list = df["movie_name"].tolist()
+    year_list = df["year"].tolist()
+
+
+    for movie_name in movie_name_list:
+        if movie_name:
+            print(str(movie_name_list.index(movie_name) + 2) + ". " + movie_name)
+            url = "https://www.metacritic.com/movie/" + edit_movie_name(movie_name) + "/"
+            # print(url)
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.text, "html.parser")
+                crawl_metacritic(soup)
+            else:
+                url_new = "https://www.metacritic.com/search/" + edit_movie_name(movie_name) + "/?page=1&category=2"
+                # print(url_new)
+                
+                response_new = requests.get(url_new, headers=headers)
+                
+                if response_new.status_code == 200:
+                    # print("OK NEW")
+                    soup = BeautifulSoup(response_new.text, "html.parser")
+                    page_search_metacritic(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                else:
+                    print("Failed to fetch data:", response_new.status_code)
+                    continue
+
+            print("\n-------------------------------")

data/crawl/main/crawl_rottentomatoes.py

@@ -0,0 +1,105 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import re
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111"
+headers = {"User-Agent": user_agent, "Accept-Language": "en-US,en;q=0.5"}
+
+# CRAWL:
+
+# critic_vote
+# meta_score
+
+def string_to_num(quan_str):
+    number_match = re.search(r'\d{1,3}(?:,\d{3})*', quan_str)
+    if number_match:
+        number = number_match.group().replace(',', '')
+        return number
+    else:
+        return None
+
+def page_search_rottentomatoes(soup, movie_title, year_release):
+    search_results_element = soup.find("search-page-result", {"type": "movie"})
+
+    if search_results_element is None:
+        return "", ""
+
+    all_results_elements = search_results_element.find_all("search-page-media-row")
+
+    for results_element in all_results_elements:
+        title_element = results_element.find("a", {"data-qa": "info-name"})
+
+        movie_name = title_element.text.strip()
+        year = results_element["releaseyear"].strip()
+
+        # print("Movie name:", movie_name)
+        # print("Year:", year)
+
+        if str(year) == str(year_release) and str(movie_name) == str(movie_title):
+            # print("Found the movie")
+            url = title_element["href"]
+
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup_cv = BeautifulSoup(response.text, "html.parser")
+                critic_vote, meta_score = crawl_rottentomatoes(soup_cv)
+                return critic_vote, meta_score
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+            break
+
+    return "", ""
+
+        # if (all_results_elements.index(results_element) + 1) == len(all_results_elements):
+        #     for results_element_new in all_results_elements:
+        #         year_new = results_element_new["releaseyear"].strip()
+        #         title_element_new = results_element_new.find("a", {"data-qa": "info-name"})
+
+        #         if str(year_new) == str(year_release):
+        #             url_new = title_element_new["href"]
+        #             response_new = requests.get(url_new, headers=headers)
+
+        #             if response_new.status_code == 200:
+        #                 soup_new = BeautifulSoup(response_new.text, "html.parser")
+        #                 critic_vote, meta_score = crawl_rottentomatoes(soup_new)
+        #                 return critic_vote, meta_score
+        #             else:
+        #                 print("Failed to fetch data:", response_new.status_code)
+
+        #             break
+
+def crawl_rottentomatoes(soup):
+    # print("Crawling Rottentomatoes")
+    div_score_element = soup.find("div", {"class": "media-scorecard"})
+
+    critic_vote = div_score_element.find("rt-link", {"slot": "criticsReviews"}).text.strip()
+    meta_score = div_score_element.find("rt-button", {"slot": "criticsScore"}).text.strip().replace("%", "")
+    
+    # print("Critic vote:", string_to_num(critic_vote))
+    # print("Meta score:", string_to_num(meta_score))
+
+    return critic_vote, meta_score
+                
+if __name__ == "__main__":
+    df = pd.read_csv("../mojo/data/test1.csv")
+    movie_name_list = df["movie_name"].tolist()
+    year_list = df["year"].tolist()
+
+    for movie_name in movie_name_list:
+        if movie_name:
+            print("Movie name:", movie_name)
+            url = "https://www.rottentomatoes.com/search?search=" + movie_name + "/"
+            # print(url)
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.text, "html.parser")
+                page_search_rottentomatoes(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                # break
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+            print("--------------------------------------------")

data/crawl/main/crawl_update_critic_metascore.py

@@ -0,0 +1,107 @@
+from crawl_rottentomatoes import *
+from crawl_metacritic import *
+import csv
+
+def score(critic_vote_metacritic, meta_score_metacritic, critic_vote_rotten, meta_score_rotten):
+    # print("Critic vote metacritic:", critic_vote_metacritic)
+    # print("Meta score metacritic:", meta_score_metacritic)
+    # print("Critic vote rotten:", critic_vote_rotten)
+    # print("Meta score rotten:", meta_score_rotten)
+
+    metacritic_sum = critic_vote_metacritic*meta_score_metacritic
+    rotten_sum = critic_vote_rotten*meta_score_rotten
+
+    critic_vote_sum = critic_vote_metacritic + critic_vote_rotten
+
+    return critic_vote_sum, "{:.2f}".format((metacritic_sum+rotten_sum)/critic_vote_sum)
+
+def main_critic_metascore():
+    print('====================================================================================')
+    print("Crawling critic and metascore...")
+    path_file = './merge_data/movies_data.csv'
+    df = pd.read_csv(path_file)
+    movie_name_list = df["movie_name"].tolist()
+    month_list = df["month"].tolist()
+    year_list = df["year"].tolist()
+
+    for i, month in enumerate(month_list):
+        if pd.isnull(month):
+            month_list[i] = ""
+        else:
+            month_list[i] = int(month)
+
+    for i, year in enumerate(year_list):
+        if pd.isnull(year):
+            year_list[i] = ""
+        else:
+            year_list[i] = int(year)
+
+    
+
+    for movie_name in movie_name_list:
+        data = {}
+
+        if movie_name:
+            print(str(movie_name_list.index(movie_name) + 1) + ". " + movie_name)
+
+            # Metacritic
+            url = "https://www.metacritic.com/search/" + edit_movie_name(movie_name) + "/?page=1&category=2"
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.text, "html.parser")
+                critic_vote_metacritic, meta_score_metacritic = page_search_metacritic(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                critic_vote_metacritic = string_to_num(critic_vote_metacritic)
+                meta_score_metacritic = string_to_num(meta_score_metacritic)
+
+                # print("Critic vote metacritic:", critic_vote_metacritic)
+                # print("Meta score metacritic:", meta_score_metacritic)
+            else:
+                print("Failed to fetch data:", response.status_code)
+                continue
+
+            # Rottentomatoes
+            url = "https://www.rottentomatoes.com/search?search=" + movie_name + "/"
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.text, "html.parser")
+                critic_vote_rotten, meta_score_rotten = page_search_rottentomatoes(soup, movie_name, year_list[movie_name_list.index(movie_name)])
+                critic_vote_rotten = string_to_num(critic_vote_rotten)
+                meta_score_rotten = string_to_num(meta_score_rotten)
+                # print("Critic vote rotten:", critic_vote_rotten)
+                # print("Meta score rotten:", meta_score_rotten)
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+            # print("--------------------------------------------")
+
+            if critic_vote_metacritic and critic_vote_rotten:
+                critic_vote, meta_score = score(int(critic_vote_metacritic), int(meta_score_metacritic), int(critic_vote_rotten), int(meta_score_rotten))
+            elif critic_vote_metacritic:
+                critic_vote, meta_score = score(int(critic_vote_metacritic), int(meta_score_metacritic), 0, 0)
+            elif critic_vote_rotten:
+                critic_vote, meta_score = score(0, 0, int(critic_vote_rotten), int(meta_score_rotten))
+            else:
+                critic_vote, meta_score = 0, 0
+
+            data['movie_name'] = movie_name
+            data['month'] = month_list[movie_name_list.index(movie_name)]
+            data['year'] = year_list[movie_name_list.index(movie_name)]
+            data['critic_vote_metacritic'] = critic_vote_metacritic
+            data['meta_score_metacritic'] = meta_score_metacritic
+            data['critic_vote_rotten'] = critic_vote_rotten
+            data['meta_score_rotten'] = meta_score_rotten
+            data['critic_vote'] = critic_vote
+            data['meta_score'] = meta_score
+
+            df.at[movie_name_list.index(movie_name), 'critic_vote'] = float(data['critic_vote'])
+            df.at[movie_name_list.index(movie_name), 'meta_score'] = float(data['meta_score'])
+
+    if 'sequel' not in df.columns:
+        df['sequel'] = pd.NA
+
+    df = df.dropna(subset=['critic_vote', 'meta_score'])
+    df = df.drop(df[(df['critic_vote'] == 0) & (df['meta_score'] == 0)].index)
+
+    df.to_csv(path_file, index=False)

data/crawl/main/crawl_update_imdb.py

@@ -0,0 +1,278 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+import time
+from selenium.common.exceptions import StaleElementReferenceException
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+import csv
+
+
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111"
+headers = {"User-Agent": user_agent, "Accept-Language": "en-US,en;q=0.5"}
+
+# CRAWL:
+
+# ratings
+# user_vote
+# country
+# genres
+
+
+
+def loop():
+    driver_check = webdriver.Chrome()
+    try:
+        if driver_check.find_element(By.CSS_SELECTOR, "li[data-testid='storyline-genres']"):
+            return
+    except StaleElementReferenceException:
+        pass
+    
+    time.sleep(0.5)
+    loop(driver_check)
+
+# Crawl country IMDB
+def crawl_imdb_request(soup):
+    user_vote_and_rating_element = soup.find("div", {"data-testid": "hero-rating-bar__aggregate-rating"})
+
+    if user_vote_and_rating_element:
+
+        # ratings
+        rate = user_vote_and_rating_element.find("div", {"class": "sc-bde20123-2 cdQqzc"}).text.split("/")[0].strip()
+
+        # user_vote
+        vote = user_vote_and_rating_element.find("div", {"class": "sc-bde20123-3 gPVQxL"}).text.replace("K", "000").replace("M", "000000").replace(".", "")
+
+        ratings.append(rate)
+        user_vote.append(vote)
+        # print("Rating: " + ratings)
+        # print("User vote: " + user_vote)
+
+        li_country_element = soup.find("li",{'data-testid': "title-details-origin"})
+
+        if li_country_element != None:
+            ul_element = li_country_element.find("ul")
+
+            all_country_li_element = ul_element.find_all("li")
+
+            # country
+            for country_li in all_country_li_element:
+                country.append(country_li.text)
+
+        # if len(country) > 0:
+        #     print("Country: " + ' '.join(country))
+
+# Crawl genres and country IMDB
+def crawl_imdb_selenium(url):
+    # genres = []
+    # country = []
+
+    driver = webdriver.Chrome()
+    driver.maximize_window()
+    driver.get(url)
+    time.sleep(1)
+    driver.execute_script("window.scrollTo(0, 5000);")
+    time.sleep(2)
+
+    tag_storyline_element = driver.find_element(By.CSS_SELECTOR, "div[data-testid='storyline-header']").find_element(By.XPATH, "./..")
+    driver.execute_script("arguments[0].scrollIntoView();", tag_storyline_element)
+    
+    # loop()
+
+    li_all_genres_element = WebDriverWait(driver,100).until(EC.presence_of_element_located(
+        (By.CSS_SELECTOR, "li[data-testid='storyline-genres']")))
+    
+    if li_all_genres_element:
+        ul_genres_element = li_all_genres_element.find_element(By.TAG_NAME, "ul")
+        li_genres_elements = ul_genres_element.find_elements(By.TAG_NAME, "li")
+
+        for li_genres in li_genres_elements:
+            genres.append(li_genres.text)
+
+    tag_detail_element = driver.find_element(By.CSS_SELECTOR, "div[data-testid='title-details-header']").find_element(By.XPATH, "./..")
+
+    if tag_detail_element.find_element(By.CSS_SELECTOR, "li[data-testid='title-details-origin']"):
+        li_country_element = tag_detail_element.find_element(By.CSS_SELECTOR, "li[data-testid='title-details-origin']")
+        ul_country_element = li_country_element.find_element(By.TAG_NAME, "ul")
+        li_country_elements = ul_country_element.find_elements(By.TAG_NAME, "li")
+
+        for li_country in li_country_elements:
+            country.append(li_country.text)
+
+    user_vote_and_rating_element = driver.find_element(By.CSS_SELECTOR, "div[data-testid='hero-rating-bar__aggregate-rating']")
+
+    # ratings
+    rate = user_vote_and_rating_element.find_element(By.CSS_SELECTOR, "div[class='sc-bde20123-2 cdQqzc']").text.split("/")[0].strip()
+
+    # user_vote
+    vote = user_vote_and_rating_element.find_element(By.CSS_SELECTOR, "div[class='sc-bde20123-3 gPVQxL']").text.replace("K", "000").replace("M", "000000").replace(".", "")
+
+    ratings.append(rate)
+    user_vote.append(vote)
+    
+    # if len(genres) > 0:
+    #     print("Genres: " + ' '.join(genres))
+    # if len(country) > 0:
+    #     print("Country: " + ' '.join(country))
+    
+    driver.close()
+ 
+# Search movie in imdb
+def page_search_imdb(soup_search, movie_title, year_release):
+    year_release = int(year_release)
+    result_element = soup_search.find("ul", {"class": "ipc-metadata-list--base"})
+
+    if result_element != None:
+        all_li_results = result_element.find_all("li", recursive=False)
+
+        for result in all_li_results:
+            # print(result.text)
+            if result.find("a", {"class": "ipc-metadata-list-summary-item__t"}):
+                movie_title_element = result.find("a", {"class": "ipc-metadata-list-summary-item__t"})
+            else:
+                continue
+            
+            movie_name = movie_title_element.text
+
+            if result.find("span", {"class": "ipc-metadata-list-summary-item__li"}):
+                year = result.find("span", {"class": "ipc-metadata-list-summary-item__li"}).text
+            else:
+                continue
+
+            # print("\n" + movie_name + " - "  + year)
+            # print(movie_title + " - " + str(year_release))
+
+            if str(year) == str(year_release) and str(movie_name) == str(movie_title):
+                # url
+                url = "https://www.imdb.com" + movie_title_element["href"]
+                if check_search_imdb_requests:
+                    response = requests.get(url, headers=headers)
+                    if response.status_code == 200:
+                        soup = BeautifulSoup(response.content, 'html.parser')
+                        crawl_imdb_request(soup)
+                    else:
+                        print("Failed to fetch data:", response.status_code)
+                elif check_search_imdb_slenium:
+                    crawl_imdb_selenium(url)
+
+                break
+
+def search_imdb(movie_name, year_release):
+    # print("\n" + str(movie_name) + " - " + str(year_release))
+    url = "https://www.imdb.com/find/?q=" + movie_name + "&s=tt&ttype=ft&ref_=fn_ft"
+    response = requests.get(url, headers=headers)
+    # print(url)
+
+    if response.status_code == 200:
+        soup = BeautifulSoup(response.content, 'html.parser')
+        # print(sosup)
+        page_search_imdb(soup, movie_name, year_release)
+    else:
+        print("Failed to fetch data:", response.status_code)
+
+def main_imdb():
+    print('====================================================================================')
+    print("Crawl IMDB...")
+    global ratings
+    global user_vote
+    global genres
+    global country
+    ratings = []
+    user_vote = []
+    genres = []
+    country = []
+
+    global check_search_imdb_slenium
+    check_search_imdb_slenium = False
+    global check_search_imdb_requests
+    check_search_imdb_requests = False
+    
+    path_file = './merge_data/movies_data.csv'
+    df = pd.read_csv(path_file)
+    url_title_list = df["tt_id"].tolist()
+    movie_name_list = df["movie_name"].tolist()
+    month_list = df["month"].tolist()
+    year_list = df["year"].tolist()
+
+    genres_list = df["genres"].tolist()
+
+    user_vote_list = df["user_vote"].tolist()
+    ratings_list = df["ratings"].tolist()
+    country_list = df["country"].tolist()
+
+    # print(movie_name_list)
+    # print(url_title_list)
+
+    
+
+    for movie_name in movie_name_list:
+        data = {}
+        print(str(movie_name_list.index(movie_name) + 1) + ". Movie: " + movie_name_list[movie_name_list.index(movie_name)])
+
+        
+        if pd.isnull(country_list[movie_name_list.index(movie_name)]) and pd.isnull(genres_list[movie_name_list.index(movie_name)]):
+            check_search_imdb_slenium = True
+        elif pd.isnull(country_list[movie_name_list.index(movie_name)]):
+            check_search_imdb_requests = True
+        elif pd.isnull(genres_list[movie_name_list.index(movie_name)]):
+            check_search_imdb_slenium = True
+
+        if pd.isnull(url_title_list[movie_name_list.index(movie_name)]):
+            search_imdb(movie_name_list[movie_name_list.index(movie_name)], year_list[movie_name_list.index(movie_name)])
+        else:
+            url = "https://www.imdb.com/title/" + url_title_list[movie_name_list.index(movie_name)] + "/"
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.content, 'html.parser')
+                crawl_imdb_request(soup)
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+        check_search_imdb_slenium = False
+        check_search_imdb_requests = False
+
+        data['movie_name'] = movie_name
+        data['month'] = month_list[movie_name_list.index(movie_name)]
+        data['year'] = year_list[movie_name_list.index(movie_name)]
+
+        if not pd.isnull(country_list[movie_name_list.index(movie_name)]):
+            country = []
+
+        if not pd.isnull(genres_list[movie_name_list.index(movie_name)]):
+            genres = []
+
+        if len(ratings) > 0:
+            # print("Rating: " + ratings[0])
+            data['ratings'] = float(ratings[0])
+            df.at[movie_name_list.index(movie_name), 'ratings'] = data['ratings']
+        if len(user_vote) > 0:
+            # print("User vote: " + user_vote[0])
+            data['user_vote'] = float(user_vote[0])
+            df.at[movie_name_list.index(movie_name), 'user_vote'] = data['user_vote']
+        if len(genres) > 0:
+            # print("Genres: " + ' '.join(genres))
+            data['genres'] = ' '.join(genres)
+        if len(country) > 0:
+            # print("Country: " + ' '.join(country))
+            data['country'] = ' '.join(country)
+            df.at[movie_name_list.index(movie_name), 'country'] = data['country']
+            
+        ratings = []
+        user_vote = []
+        genres = []
+        country = []
+
+        # print("-----------------------------------------------")
+
+    if 'critic_vote' not in df.columns:
+        df['critic_vote'] = pd.NA
+    if 'meta_score' not in df.columns:
+        df['meta_score'] = pd.NA
+
+    df = df.dropna(subset=['user_vote', 'ratings', 'country'])
+
+    df.to_csv(path_file, index=False)

data/crawl/main/crawl_update_mojo.py

@@ -0,0 +1,265 @@
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+
+from datetime import datetime, timedelta
+import csv
+import time
+
+
+DELTA = 5
+
+
+
+# === UTILS FUNCTION ===
+
+
+def month_name_to_number(month_name):
+    # Dictionary mapping month names to their corresponding numbers
+    month_numbers = {
+        'january': 1,
+        'february': 2,
+        'march': 3,
+        'april': 4,
+        'may': 5,
+        'june': 6,
+        'july': 7,
+        'august': 8,
+        'september': 9,
+        'october': 10,
+        'november': 11,
+        'december': 12
+    }
+    
+    month_name = month_name.lower()
+    return month_numbers.get(month_name, "Invalid month name")
+
+
+def get_today_formatted():
+    # Get today's date
+    today = datetime.today()
+    # Format it to 'YYYY-MM-DD'
+    formatted_date = today.strftime('%Y-%m-%d')
+    return formatted_date
+
+
+def clean_currency_string(currency_str):
+    no_dollar = currency_str.replace('$', '')
+    no_comma = no_dollar.replace(',', '')
+    return no_comma
+
+
+def clean_opening_string(opening_str):
+    cleaned_str = opening_str.replace('\n', ' ')
+    parts = cleaned_str.split(' ')
+    currency_str = clean_currency_string(parts[0])
+    screens_str = parts[1].replace(',', '')
+    return {
+        'gross': int(currency_str),
+        'screens': int(screens_str)
+    }
+
+
+def clean_release_date_string(input_str):
+    # Define a helper function to convert a date string to the desired format
+    def format_date(date_str):
+        date_obj = datetime.strptime(date_str.strip(), '%b %d, %Y')
+        return date_obj.strftime('%Y-%m-%d')
+    
+    # Case 1: 'Dec 1, 2023'
+    if ' - ' not in input_str and '(' not in input_str:
+        return format_date(input_str)
+    
+    # Case 2: 'Dec 1, 2023 - Dec 12, 2023'
+    if ' - ' in input_str:
+        first_date = input_str.split(' - ')[0]
+        return format_date(first_date)
+    
+    # Case 3: 'Dec 1, 2023 (Dec 12, 2023)'
+    if '(' in input_str:
+        first_date = input_str.split('(')[0]
+        return format_date(first_date)
+    
+    return None
+
+
+def clean_running_time_string(running_time_str) -> int:
+    if 'hr' in running_time_str and 'min' in running_time_str:
+        parts = running_time_str.split(' ')
+        hours = int(parts[0])
+        minutes = int(parts[2])
+        return hours * 60 + minutes
+    elif 'hr' in running_time_str:
+        return int(running_time_str.split(' ')[0]) * 60
+    else:
+        return int(running_time_str.split(' ')[0])
+
+
+def clean_imdb_id_string(imdb_id_str):
+    return imdb_id_str.split('/')[4]
+
+
+def clean_genres_string(genres_str):
+    return genres_str.split(' ')
+
+
+def write_to_csv(movie_data_list, filename='./merge_data/movies_data.csv'):
+    # Define the fieldnames for the CSV file
+    fieldnames = ['tt_id', 'movie_name', 'domestic_box_office', 'budget', 'month', 'year', 'opening_week', 'screens', 'genres', 'mpaa', 'runtime']
+    
+    # Write the data to the CSV file
+    with open(filename, 'w', newline='', encoding='utf-8') as csvfile:
+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+        
+        # Write the header
+        writer.writeheader()
+        
+        # Write each movie's data
+        for movie in movie_data_list:
+            writer.writerow(movie)
+
+
+def delta_months_before(delta):
+    current_date = datetime.now()
+    delta_months_ago = current_date - timedelta(days=30*delta)
+
+    month_name = delta_months_ago.strftime("%B").lower()
+    year = delta_months_ago.year
+
+    return month_name, year
+
+
+def get_movies_list_url(month, year):
+    return f'https://boxofficemojo.com/month/{month}/{year}/?grossesOption=totalGrosses'
+
+
+# === CRAWL FUNCTION ===
+def crawl_movies_list_data():
+    result_list = []
+    month, year = delta_months_before(DELTA)
+    url = get_movies_list_url(month, year)
+
+    options = Options()
+    options.add_argument("--headless")
+    options.add_argument("--no-sandbox")
+    options.add_argument("--disable-dev-shm-usage")
+
+    driver = webdriver.Chrome(options=options)
+    driver.get(url)
+    movies_list_len = driver.find_element(By.XPATH, '//*[@id="table"]/div/table[2]/tbody/tr[last()]/td[1]').text
+    movies_list_len = int(movies_list_len)
+    for i in range (2, movies_list_len + 2):
+        movie_url_href = driver.find_element(By.XPATH, f'//*[@id="table"]/div/table[2]/tbody/tr[{i}]/td[2]/a').get_attribute('href')
+        result_list.append(movie_url_href)
+        
+    driver.quit()
+    return result_list
+
+
+def crawl_movie_data(url):
+    options = Options()
+    options.add_argument("--headless")
+    options.add_argument("--no-sandbox")
+    options.add_argument("--disable-dev-shm-usage")
+
+    driver = webdriver.Chrome(options=options)
+    driver.get(url)
+
+    month, year = delta_months_before(DELTA)
+    movie = {
+        'tt_id': None,
+        'movie_name': None,
+        'domestic_box_office': None,
+        'budget': None,
+        'year': year,
+        'month': month_name_to_number(month),
+        'opening_week': None,
+        'screens': None,
+        'genres': None,
+        'mpaa': None,
+        'runtime': None
+    }
+    TITLE_XPATH = '//*[@id="a-page"]/main/div/div[1]/div[1]/div/div/div[2]/h1'
+    IMDB_ID_XPATH = '//*[@id="title-summary-refiner"]/a'
+    DOMESTIC_GROSS_XPATH = '//*[@id="a-page"]/main/div/div[3]/div[1]/div/div[1]/span[2]/span'
+    PROPERTIES_NUM_XPATH = '//*[@id="a-page"]/main/div/div[3]/div[4]/div'
+
+    title = driver.find_element(By.XPATH, TITLE_XPATH).text
+    imdb_id = driver.find_element(By.XPATH, IMDB_ID_XPATH).get_attribute('href')
+    domestic_gross = driver.find_element(By.XPATH, DOMESTIC_GROSS_XPATH).text
+
+    properties = driver.find_elements(By.XPATH, PROPERTIES_NUM_XPATH)
+    properties_count = len(properties)
+
+    movie['movie_name'] = title
+    movie['tt_id'] = clean_imdb_id_string(imdb_id)
+    movie['domestic_box_office'] = clean_currency_string(domestic_gross)
+
+    for i in range(2, properties_count - 1):
+        property_name = driver.find_element(By.XPATH, f'//*[@id="a-page"]/main/div/div[3]/div[4]/div[{i}]/span[1]').text
+        property_value = driver.find_element(By.XPATH, f'//*[@id="a-page"]/main/div/div[3]/div[4]/div[{i}]/span[2]').text
+        if 'Running Time' in property_name:
+            movie['runtime'] = clean_running_time_string(property_value)
+        if 'Opening' in property_name:
+            opening_data = clean_opening_string(property_value)
+            movie['opening_week'] = opening_data['gross']
+            movie['screens'] = opening_data['screens']
+        if 'Budget' in property_name:
+            movie['budget'] = clean_currency_string(property_value)
+        if 'MPAA' in property_name:
+            movie['mpaa'] = property_value
+        if 'Genres' in property_name:
+            movie['genres'] = property_value
+
+    driver.quit()
+    return movie
+
+
+def main_mojo():
+    month, year = delta_months_before(DELTA)
+    print(f'Start updater from boxofficemojo.com in {month} ,{year}')
+
+    # Define ANSI escape codes for background colors
+    RED_BG = "\033[41m"
+    GREEN_BG_BLACK_TEXT_BOLD = "\033[42;30;1m"    
+    YELLOW_BG_BOLD = "\033[43;1m"
+
+    RESET = "\033[0m"
+
+    # Define ANSI escape codes for text colors
+    WHITE_TEXT = "\033[97m"
+    GREEN_TEXT = "\033[92m"
+    YELLOW_TEXT = '\033[33m'
+    RESET_TEXT = "\033[0m"
+
+    start_time = time.time()
+    movies_url_list_start = time.time()
+
+    movies_url_list = crawl_movies_list_data()
+
+    movies_url_list_end = time.time()
+    movies_url_list_time_cost = movies_url_list_end - movies_url_list_start
+    print(f"{GREEN_BG_BLACK_TEXT_BOLD}CRAWL MOVIES LIST DATA{RESET} Total time cost: {YELLOW_TEXT}{movies_url_list_time_cost:.2f}s{RESET_TEXT}")
+
+    movie_data_list = []
+    movies_list_data_time_start = time.time()
+    print('Start crawling movie data')
+    for movie_url in movies_url_list:
+        movie_data_start = time.time()
+
+        movie_data = crawl_movie_data(movie_url)
+        movie_data_list.append(movie_data)
+
+        movie_data_end = time.time()
+        movie_data_time_cost = movie_data_end - movie_data_start
+        print(f"    MOVIE DATA (Cost: {YELLOW_TEXT}{movie_data_time_cost:.2f}s{RESET_TEXT}) Title: {movie_data['movie_name']}")
+
+    movies_list_data_time_end = time.time()
+    movies_list_data_time_cost = movies_list_data_time_end - movies_list_data_time_start
+    movies_list_data_time_average = movies_list_data_time_cost / len(movies_url_list)
+    print(f"{GREEN_BG_BLACK_TEXT_BOLD}CRAWL MOVIE DATA{RESET} Total time cost: {YELLOW_TEXT}{movies_list_data_time_cost:.2f}s{RESET_TEXT}, average time cost: {YELLOW_TEXT}{movies_list_data_time_average:.2f}s{RESET_TEXT}")
+
+    write_to_csv(movie_data_list)
+    end_time = time.time()
+    time_cost = end_time - start_time
+    print(f"\nTotal time cost : {GREEN_TEXT}{time_cost:.2f}s{RESET_TEXT}")

data/crawl/main/crawl_update_themoviedb.py

@@ -0,0 +1,155 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import csv
+
+# sequel
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
+headers = {"User-Agent": user_agent}
+
+def convert_month(month):
+    dict = {
+        1: "January",
+        2: "February",
+        3: "March",
+        4: "April",
+        5: "May",
+        6: "June",
+        7: "July",
+        8: "August",
+        9: "September",
+        10: "October",
+        11: "November",
+        12: "December"
+    }
+    return dict[month]
+
+def convert_month_to_int(month):
+    dict = {
+        "January": 1,
+        "February": 2,
+        "March": 3,
+        "April": 4,
+        "May": 5,
+        "June": 6,
+        "July": 7,
+        "August": 8,
+        "September": 9,
+        "October": 10,
+        "November": 11,
+        "December": 12
+    }
+    return dict[month]
+
+def page_search(soup_search, movie_title, month_release, year_release):
+    result_element = soup_search.find("div", {"class": "results flex"})
+
+    if result_element is None:
+        return 0
+
+    all_div_results = result_element.find_all("div", {"class": "card v4 tight"})
+
+    for result in all_div_results:
+        movie_title_element = result.find("h2")
+        if movie_title_element.find("span", {"class": "title"}):
+            movie_name = movie_title_element.find("span", {"class": "title"}).text.strip("()")
+        else:
+            movie_name = movie_title_element.text
+
+        if result.find("span", {"class": "release_date"}):
+            release_date = result.find("span", {"class": "release_date"}).text
+            month = release_date.split(",")[0].strip().split(" ")[0].strip()
+            year = release_date.split(",")[1].strip()
+        else:
+            release_date = ""
+            month = ""
+            year = ""
+
+        # print(movie_title + " - " + str(month_release) + "/" + str(year_release))
+        # print("\n" + movie_name + " - " + month + "/" + year)
+
+        if str(year) == str(year_release) and str(movie_name) == str(movie_title):
+            # url
+            url = "https://www.themoviedb.org" + result.find("a")["href"]
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.content, 'html.parser')
+                sequel = crawl(soup)
+                return sequel
+            else:
+                print("Failed to fetch data:", response.status_code)
+        
+    return 0
+
+
+def crawl(soup):
+    section_keywords_element = soup.find("section", {"class": "keywords right_column"})
+
+    if section_keywords_element is None:
+        return 0
+    
+    ul_keywords_element = section_keywords_element.find("ul")
+
+    if ul_keywords_element is None:
+        return 0
+    
+    li_keyword_elements = ul_keywords_element.find_all("li")
+
+    sequel = 0
+
+    for li_keyword in li_keyword_elements:
+        if li_keyword.text == "sequel":
+            sequel = 1
+
+    return sequel
+
+def main_themoviedb():
+    print('====================================================================================')
+    print('Crawl The Movie DB...')
+    path_file = './merge_data/movies_data.csv'
+    df = pd.read_csv(path_file)
+    movie_name_list = df["movie_name"].tolist()
+    month_list = df["month"].tolist()
+    # print(month_list)
+    # month_list = [convert_month(int(month)) for month in month_list]   
+
+    for i, month in enumerate(month_list):
+        if pd.isnull(month):
+            month_list[i] = ""
+        else:
+            month_list[i] = convert_month(int(month))
+
+    year_list = df["year"].tolist()
+
+    for i, year in enumerate(year_list):
+        if pd.isnull(year):
+            year_list[i] = ""
+        else:
+            year_list[i] = int(year)
+
+
+    for movie_name in movie_name_list:
+        print(str(movie_name_list.index(movie_name) + 1) + ". Movie Name: ", movie_name)
+        url = "https://www.themoviedb.org/search/movie?query=" + movie_name
+        # print(url)
+        response = requests.get(url, headers=headers)
+
+        if response.status_code == 200:
+            soup = BeautifulSoup(response.content, 'html.parser')
+            sequel = page_search(soup, movie_name, month_list[movie_name_list.index(movie_name)], year_list[movie_name_list.index(movie_name)])
+        else:
+            print("Failed to fetch data:", response.status_code)
+
+        data = {}
+
+        data['movie_name'] = movie_name
+        data['month'] = convert_month_to_int(month_list[movie_name_list.index(movie_name)])
+        data['year'] = year_list[movie_name_list.index(movie_name)]
+        data['sequel'] = sequel
+
+        df.at[movie_name_list.index(movie_name), 'sequel'] = float(data['sequel'])
+
+    df.drop(["tt_id"],axis=1,inplace = True)
+    df.to_csv(path_file, index=False)

data/crawl/main/crawl_update_tmdb.py

@@ -0,0 +1,63 @@
+import requests
+import pandas as pd
+
+def crawl_budget(tt_id):
+    url = 'https://api.themoviedb.org/3/find/' + tt_id
+    headers_detail = {
+        'Authorization': 'Bearer eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiI5YmJiNjQ1NTZiMjg0ZDA1Njc2OGVjMzdmZmU0ZWM3NyIsInN1YiI6IjY2MDU3MGE3OTU2NjU4MDE0ODdkZTljOSIsInNjb3BlcyI6WyJhcGlfcmVhZCJdLCJ2ZXJzaW9uIjoxfQ.mXbYtQYdYFHQSQxEUTiHIvUsRhtq7R-zXZH2oPqu38o',
+        'accept': 'application/json'
+    }
+    params_detail = {
+        'external_source': 'imdb_id'
+    }
+
+    response_detail = requests.get(url, headers=headers_detail, params=params_detail)
+    detail = response_detail.json()
+
+    if len(detail['movie_results']) > 0:
+        url_budget = 'https://api.themoviedb.org/3/movie/' + str(detail['movie_results'][0]['id'])
+        headers_budget = {
+            'Authorization': 'Bearer eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiI5YmJiNjQ1NTZiMjg0ZDA1Njc2OGVjMzdmZmU0ZWM3NyIsInN1YiI6IjY2MDU3MGE3OTU2NjU4MDE0ODdkZTljOSIsInNjb3BlcyI6WyJhcGlfcmVhZCJdLCJ2ZXJzaW9uIjoxfQ.mXbYtQYdYFHQSQxEUTiHIvUsRhtq7R-zXZH2oPqu38o',
+            'accept': 'application/json'
+        }
+        params = {
+            'language': 'en-US'
+        }
+
+        response = requests.get(url_budget, headers=headers_budget, params=params)
+        data = response.json()
+
+        if data['budget']:
+            return data['budget']
+        else:
+            return None
+    else:
+        return None
+
+def main_tmdb():
+    print('====================================================================================')
+    print('Crawl TMDb...')
+    path_file = './merge_data/movies_data.csv'
+    df = pd.read_csv(path_file)
+    url_title_list = df["tt_id"].tolist()
+    budget_list = df["budget"].tolist()
+    
+    for idx, tt_id in enumerate(url_title_list):
+        if pd.isnull(budget_list[idx]):
+            budget = crawl_budget(tt_id)
+            if budget is not None:
+                df.at[idx, 'budget'] = budget
+                df.to_csv(path_file, index=False)
+
+    if 'user_vote' not in df.columns:
+        df['user_vote'] = pd.NA
+    if 'ratings' not in df.columns:
+        df['ratings'] = pd.NA
+    if 'country' not in df.columns:
+        df['country'] = pd.NA
+
+    df = df.dropna(subset=['tt_id', 'movie_name', 'domestic_box_office', 'budget', 'month', 'year', 'opening_week', 'screens', 'genres', 'runtime', 'mpaa'])
+    
+    df.to_csv(path_file, index=False)
+    
+

data/crawl/main/main_update.py

@@ -0,0 +1,12 @@
+from crawl_update_mojo import *
+from crawl_update_tmdb import *
+from crawl_update_imdb import *
+from crawl_update_critic_metascore import *
+from crawl_update_themoviedb import *
+
+if __name__ == '__main__':
+    main_mojo()
+    main_tmdb()
+    main_imdb()
+    main_critic_metascore()
+    main_themoviedb()

data/crawl/mojo/crawl.py

@@ -0,0 +1,161 @@
+from bs4 import BeautifulSoup
+import urllib.request
+import pprint as pp
+
+class Movie:
+    def __init__(self, url_title, title, month, year, budget, runtime, genres, mpaa, screens, opening, domestic, international, worldwide):
+        self.url_title = url_title
+        self.title = title
+        self.month = month
+        self.year = year
+        self.budget = budget
+        self.runtime = runtime
+        self.genres = genres
+        self.mpaa = mpaa
+        self.screens = screens
+        self.opening = opening
+        self.domestic = domestic
+        self.international = international
+        self.worldwide = worldwide
+
+def convert_to_min(runtime):
+    if "hr" in runtime:
+        runtime_split = runtime.split("hr")
+        if len(runtime_split[1]) == 0:
+            hours = int(runtime_split[0].strip())
+            return hours * 60
+        else:
+            hours = int(runtime_split[0].strip())
+            minutes = int(runtime_split[1].replace("min", "").strip())
+            return hours * 60 + minutes
+    else:
+        return int(runtime.split()[0])
+    
+def convert_month(month):
+    dict = {
+        "Jan": 1,
+        "Feb": 2,
+        "Mar": 3,
+        "Apr": 4,
+        "May": 5,
+        "Jun": 6,
+        "Jul": 7,
+        "Aug": 8,
+        "Sep": 9,
+        "Oct": 10,
+        "Nov": 11,
+        "Dec": 12
+    }
+    return dict[month]
+
+
+def get_info_table(info_table):
+    budget = None
+    release_month = None
+    release_year = None
+    mpaa = None
+    runtime = None
+    genres = None
+    screens = None
+    opening = None
+
+    rows = info_table.find_all('div', {'class': "a-section a-spacing-none"})
+    for row in rows:
+        if "Budget" in row.text:
+            budget = row.find('span', {'class': "money"}).text.replace("$", "").replace(",", "")
+
+        elif "Release Date" in row.text:
+            release_date = [row.text for row in row.find_all('a')]
+
+            if "-" in release_date[0]:
+                release_date_one = release_date[0].split("-")
+                release_month = release_date_one[1]
+                release_year = release_date_one[2]
+            elif "," in release_date[0]:
+                release_date_one = release_date[0].split(",")
+                release_year = release_date_one[1].strip()
+                release_month = release_date_one[0].split(" ")[0].strip()
+                release_month = convert_month(release_month)
+            else:
+                release_year = release_date[0].strip()
+
+        elif "MPAA" in row.text:
+            mpaa = row.find_all('span')[1].text.split()[0]
+
+        elif "Running Time" in row.text:
+            runtime = row.find_all('span')[1].text
+            runtime = convert_to_min(runtime)
+
+        elif "Genres" in row.text:
+            list_genres = row.find_all('span')[1].text.split()
+            genres = " ".join(list_genres)
+
+        elif "Widest Release" in row.text:
+            screens = row.find_all('span')[1].text
+            screens = screens.split()[0]
+            screens = screens.replace(".", "").replace(",", "")
+        elif "Opening" in row.text:
+            opening = row.find('span', {'class': "money"}).text.replace("$", "").replace(",", "")
+
+    return budget, release_month, release_year, mpaa, runtime, genres, screens, opening
+
+
+def get_grosses(grosses):
+    domestic = None
+    international = None
+    worldwide = None
+
+    rows = grosses.find_all('div', {'class': "a-section a-spacing-none"})
+    for row in rows:
+        if "Domestic" in row.text and "–" not in row.text:
+            domestic = row.find('span', {'class': "money"}).text.replace("$", "").replace(",", "")
+        elif "International" in row.text and "–" not in row.text:
+            international = row.find('span', {'class': "money"}).text.replace("$", "").replace(",", "")
+        elif "Worldwide" in row.text and "–" not in row.text:
+            worldwide = row.find('span', {'class': "money"}).text.replace("$", "").replace(",", "")
+
+    return domestic, international, worldwide
+    
+def get_url_title(url_title):
+    # /title/tt0236493/?ref_=bo_rl_ti
+    return url_title.split('/')[-2]
+
+def crawl(release_id):
+    url = f"https://www.boxofficemojo.com/release/{release_id}/"
+    url_title = None
+
+    response = urllib.request.urlopen(url)
+    soup = BeautifulSoup(response, 'html.parser')
+    
+    try:
+        url_title_element = soup.find(string=lambda text: 'Title Summary' in text).parent
+        url_title = get_url_title(url_title_element.parent["href"])
+    except:
+        url_title = ""
+
+    # print(url_title)
+
+    title = soup.find('h1', {'class': "a-size-extra-large"}).text.replace(",", "")
+    grosses = soup.find('div', {'class': "a-section a-spacing-none mojo-performance-summary-table"})
+    info_table = soup.find('div', {'class': "a-section a-spacing-none mojo-summary-values mojo-hidden-from-mobile"})
+
+    budget, release_month, release_year, mpaa, runtime, genres, screens, opening = get_info_table(info_table)
+
+    domestic, international, worldwide = get_grosses(grosses)
+
+    return Movie(url_title,title, release_month, release_year, budget, runtime, genres, mpaa, screens, opening,domestic, international, worldwide)
+    
+def main():
+    with open("link/link_quan.txt", "r") as f:
+        out = open("data/data_quan.csv", "w")
+        out.write("tt_id,rl_id,movie_name,month,year,budget,runtime,genres,mpaa,screens,opening_week,domestic_box_office\n")
+        index = 1
+        for line in f:
+            release_id = line.strip()
+            movie = crawl(release_id)
+            print(str(index) + ". " + movie.title)
+            out.write(f"{movie.url_title},{release_id},{movie.title},{movie.month},{movie.year},{movie.budget},{movie.runtime},{movie.genres},{movie.mpaa},{movie.screens},{movie.opening},{movie.domestic}\n")
+            index += 1
+
+if __name__ == "__main__":
+    main()

data/crawl/mojo/link/crawl_link_mojo.py

@@ -0,0 +1,111 @@
+import time
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+
+options = webdriver.ChromeOptions()
+options.add_argument("--log-level=3")
+driver = webdriver.Chrome()
+driver.maximize_window()
+
+year = 2001
+
+# movie_name
+# year
+# month
+# budget
+# runtime
+# mpaa
+# opening_week
+# screens
+# genres
+# gross_revenue
+
+with open("link_movie.txt", "a") as file:
+    while year < 2024:
+        if year == 2020 or year == 2021 or year == 2022:
+            continue
+
+        page_main_url = "https://www.boxofficemojo.com/season/spring/" + str(year)
+        driver.get(page_main_url)
+
+        all_tr_from_table_elements = driver.find_elements(By.XPATH, "//*[@id=\"table\"]/div/table[2]/tbody/tr")
+
+        index = 1
+        for all_tr_from_table_element in all_tr_from_table_elements:
+            if index == 1:
+                index += 1
+                continue
+            tag_a_element = all_tr_from_table_element.find_elements(By.TAG_NAME, "a")
+
+            movie_url = tag_a_element[0].get_attribute("href")
+            
+            movie_id = movie_url.split("/")[-2]
+
+            file.write(movie_id + "\n")
+
+        page_main_url = "https://www.boxofficemojo.com/season/summer/" + str(year)
+        driver.get(page_main_url)
+
+        all_tr_from_table_elements = driver.find_elements(By.XPATH, "//*[@id=\"table\"]/div/table[2]/tbody/tr")
+
+        index = 1
+        for all_tr_from_table_element in all_tr_from_table_elements:
+            if index == 1:
+                index += 1
+                continue
+            tag_a_element = all_tr_from_table_element.find_elements(By.TAG_NAME, "a")
+
+            movie_url = tag_a_element[0].get_attribute("href")
+            
+            movie_id = movie_url.split("/")[-2]
+
+            file.write(movie_id + "\n")
+
+        page_main_url = "https://www.boxofficemojo.com/season/fall/" + str(year)
+        driver.get(page_main_url)
+
+        all_tr_from_table_elements = driver.find_elements(By.XPATH, "//*[@id=\"table\"]/div/table[2]/tbody/tr")
+
+        index = 1
+        for all_tr_from_table_element in all_tr_from_table_elements:
+            if index == 1:
+                index += 1
+                continue
+            tag_a_element = all_tr_from_table_element.find_elements(By.TAG_NAME, "a")
+
+            movie_url = tag_a_element[0].get_attribute("href")
+            
+            movie_id = movie_url.split("/")[-2]
+
+            file.write(movie_id + "\n")
+
+        page_main_url = "https://www.boxofficemojo.com/season/winter/" + str(year)
+        driver.get(page_main_url)
+
+        all_tr_from_table_elements = driver.find_elements(By.XPATH, "//*[@id=\"table\"]/div/table[2]/tbody/tr")
+
+        index = 1
+        for all_tr_from_table_element in all_tr_from_table_elements:
+            if index == 1:
+                index += 1
+                continue
+            tag_a_element = all_tr_from_table_element.find_elements(By.TAG_NAME, "a")
+
+            movie_url = tag_a_element[0].get_attribute("href")
+            
+            movie_id = movie_url.split("/")[-2]
+
+            file.write(movie_id + "\n")
+        
+        year += 1     
+
+time.sleep(1)
+
+# Tắt trình duyệt
+driver.quit()
+
+
+print("\n\n")
+print("********************************************")
+print("--------------------XONG--------------------")
+print("********************************************")

data/crawl/mojo/link/lam_sach_link.py

@@ -0,0 +1,16 @@
+# Đường dẫn tới file txt đầu vào và file txt đầu ra
+input_file = "link_movie_mojo.txt"
+output_file = "link_sach.txt"
+
+# Tạo một set để lưu các dòng duy nhất từ file đầu vào
+unique_lines = set()
+
+# Đọc từng dòng từ file đầu vào và thêm vào set
+with open(input_file, "r") as file:
+    for line in file:
+        unique_lines.add(line.strip())
+
+# Ghi các dòng duy nhất vào file đầu ra
+with open(output_file, "w") as file:
+    for line in unique_lines:
+        file.write(line + "\n")

data/crawl/mojo/link/link_nam.txt

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data/crawl/mojo/test.csv

@@ -0,0 +1,6 @@
+tt_id,rl_id,movie_name,month,year,budget,runtime,genres,mpaa,screens,opening_week,domestic_box_office
+tt0385635,rl575440385,Dans une galaxie pr�s de chez vous - Le film,4,2004,None,109,Adventure Comedy Sci-Fi,None,74,None,2259688
+tt0365957,rl2491057665,You Got Served,1,2004,8000000,95,Drama Music,PG-13,1943,16123105,40363810
+tt0286244,rl2255980033,The Triplets of Belleville,11,2003,None,80,Adventure Animation Comedy Drama Music Sport,PG-13,463,108080,7007149
+tt0317910,rl240289281,The Fog of War,12,2003,None,107,Biography Documentary History War,PG-13,261,41449,4198566
+tt0337741,rl1299219969,Something's Gotta Give,12,2003,80000000,128,Comedy Drama Romance,PG-13,2876,16064723,124728738

data/crawl/mojo/update.py

@@ -0,0 +1,266 @@
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+
+from datetime import datetime, timedelta
+import csv
+import time
+
+
+DELTA = 5
+
+
+
+# === UTILS FUNCTION ===
+
+
+def month_name_to_number(month_name):
+    # Dictionary mapping month names to their corresponding numbers
+    month_numbers = {
+        'january': 1,
+        'february': 2,
+        'march': 3,
+        'april': 4,
+        'may': 5,
+        'june': 6,
+        'july': 7,
+        'august': 8,
+        'september': 9,
+        'october': 10,
+        'november': 11,
+        'december': 12
+    }
+    
+    month_name = month_name.lower()
+    return month_numbers.get(month_name, "Invalid month name")
+
+
+def get_today_formatted():
+    # Get today's date
+    today = datetime.today()
+    # Format it to 'YYYY-MM-DD'
+    formatted_date = today.strftime('%Y-%m-%d')
+    return formatted_date
+
+
+def clean_currency_string(currency_str):
+    no_dollar = currency_str.replace('$', '')
+    no_comma = no_dollar.replace(',', '')
+    return no_comma
+
+
+def clean_opening_string(opening_str):
+    cleaned_str = opening_str.replace('\n', ' ')
+    parts = cleaned_str.split(' ')
+    currency_str = clean_currency_string(parts[0])
+    screens_str = parts[1].replace(',', '')
+    return {
+        'gross': int(currency_str),
+        'screens': int(screens_str)
+    }
+
+
+def clean_release_date_string(input_str):
+    # Define a helper function to convert a date string to the desired format
+    def format_date(date_str):
+        date_obj = datetime.strptime(date_str.strip(), '%b %d, %Y')
+        return date_obj.strftime('%Y-%m-%d')
+    
+    # Case 1: 'Dec 1, 2023'
+    if ' - ' not in input_str and '(' not in input_str:
+        return format_date(input_str)
+    
+    # Case 2: 'Dec 1, 2023 - Dec 12, 2023'
+    if ' - ' in input_str:
+        first_date = input_str.split(' - ')[0]
+        return format_date(first_date)
+    
+    # Case 3: 'Dec 1, 2023 (Dec 12, 2023)'
+    if '(' in input_str:
+        first_date = input_str.split('(')[0]
+        return format_date(first_date)
+    
+    return None
+
+
+def clean_running_time_string(running_time_str) -> int:
+    if 'hr' in running_time_str and 'min' in running_time_str:
+        parts = running_time_str.split(' ')
+        hours = int(parts[0])
+        minutes = int(parts[2])
+        return hours * 60 + minutes
+    elif 'hr' in running_time_str:
+        return int(running_time_str.split(' ')[0]) * 60
+    else:
+        return int(running_time_str.split(' ')[0])
+
+
+def clean_imdb_id_string(imdb_id_str):
+    return imdb_id_str.split('/')[4]
+
+
+def clean_genres_string(genres_str):
+    return genres_str.split(' ')
+
+
+def write_to_csv(movie_data_list, filename='movies_data.csv'):
+    # Define the fieldnames for the CSV file
+    fieldnames = ['tt_id', 'movie_name', 'domestic_box_office', 'budget', 'month', 'year', 'opening_week', 'screens', 'genres', 'mpaa', 'runtime']
+    
+    # Write the data to the CSV file
+    with open(filename, 'w', newline='', encoding='utf-8') as csvfile:
+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+        
+        # Write the header
+        writer.writeheader()
+        
+        # Write each movie's data
+        for movie in movie_data_list:
+            writer.writerow(movie)
+
+
+def delta_months_before(delta):
+    current_date = datetime.now()
+    delta_months_ago = current_date - timedelta(days=30*delta)
+
+    month_name = delta_months_ago.strftime("%B").lower()
+    year = delta_months_ago.year
+
+    return month_name, year
+
+
+def get_movies_list_url(month, year):
+    return f'https://boxofficemojo.com/month/{month}/{year}/?grossesOption=totalGrosses'
+
+
+# === CRAWL FUNCTION ===
+def crawl_movies_list_data():
+    result_list = []
+    month, year = delta_months_before(DELTA)
+    url = get_movies_list_url(month, year)
+
+    options = Options()
+    options.add_argument("--headless")
+    options.add_argument("--no-sandbox")
+    options.add_argument("--disable-dev-shm-usage")
+
+    driver = webdriver.Chrome(options=options)
+    driver.get(url)
+    movies_list_len = driver.find_element(By.XPATH, '//*[@id="table"]/div/table[2]/tbody/tr[last()]/td[1]').text
+    movies_list_len = int(movies_list_len)
+    for i in range (2, movies_list_len + 2):
+        movie_url_href = driver.find_element(By.XPATH, f'//*[@id="table"]/div/table[2]/tbody/tr[{i}]/td[2]/a').get_attribute('href')
+        result_list.append(movie_url_href)
+        
+    driver.quit()
+    return result_list
+
+
+def crawl_movie_data(url):
+    options = Options()
+    options.add_argument("--headless")
+    options.add_argument("--no-sandbox")
+    options.add_argument("--disable-dev-shm-usage")
+
+    driver = webdriver.Chrome(options=options)
+    driver.get(url)
+
+    month, year = delta_months_before(DELTA)
+    movie = {
+        'tt_id': None,
+        'movie_name': None,
+        'domestic_box_office': None,
+        'budget': None,
+        'year': year,
+        'month': month_name_to_number(month),
+        'opening_week': None,
+        'screens': None,
+        'genres': None,
+        'mpaa': None,
+        'runtime': None
+    }
+    TITLE_XPATH = '//*[@id="a-page"]/main/div/div[1]/div[1]/div/div/div[2]/h1'
+    IMDB_ID_XPATH = '//*[@id="title-summary-refiner"]/a'
+    DOMESTIC_GROSS_XPATH = '//*[@id="a-page"]/main/div/div[3]/div[1]/div/div[1]/span[2]/span'
+    PROPERTIES_NUM_XPATH = '//*[@id="a-page"]/main/div/div[3]/div[4]/div'
+
+    title = driver.find_element(By.XPATH, TITLE_XPATH).text
+    imdb_id = driver.find_element(By.XPATH, IMDB_ID_XPATH).get_attribute('href')
+    domestic_gross = driver.find_element(By.XPATH, DOMESTIC_GROSS_XPATH).text
+
+    properties = driver.find_elements(By.XPATH, PROPERTIES_NUM_XPATH)
+    properties_count = len(properties)
+
+    movie['movie_name'] = title
+    movie['tt_id'] = clean_imdb_id_string(imdb_id)
+    movie['domestic_box_office'] = clean_currency_string(domestic_gross)
+
+    for i in range(2, properties_count - 1):
+        property_name = driver.find_element(By.XPATH, f'//*[@id="a-page"]/main/div/div[3]/div[4]/div[{i}]/span[1]').text
+        property_value = driver.find_element(By.XPATH, f'//*[@id="a-page"]/main/div/div[3]/div[4]/div[{i}]/span[2]').text
+        if 'Running Time' in property_name:
+            movie['runtime'] = clean_running_time_string(property_value)
+        if 'Opening' in property_name:
+            opening_data = clean_opening_string(property_value)
+            movie['opening_week'] = opening_data['gross']
+            movie['screens'] = opening_data['screens']
+        if 'Budget' in property_name:
+            movie['budget'] = clean_currency_string(property_value)
+        if 'MPAA' in property_name:
+            movie['mpaa'] = property_value
+        if 'Genres' in property_name:
+            movie['genres'] = property_value
+
+    driver.quit()
+    return movie
+
+
+if __name__ == "__main__":
+
+    month, year = delta_months_before(DELTA)
+    print(f'Start updater from boxofficemojo.com in {month} ,{year}')
+
+    # Define ANSI escape codes for background colors
+    RED_BG = "\033[41m"
+    GREEN_BG_BLACK_TEXT_BOLD = "\033[42;30;1m"    
+    YELLOW_BG_BOLD = "\033[43;1m"
+
+    RESET = "\033[0m"
+
+    # Define ANSI escape codes for text colors
+    WHITE_TEXT = "\033[97m"
+    GREEN_TEXT = "\033[92m"
+    YELLOW_TEXT = '\033[33m'
+    RESET_TEXT = "\033[0m"
+
+    start_time = time.time()
+    movies_url_list_start = time.time()
+
+    movies_url_list = crawl_movies_list_data()
+
+    movies_url_list_end = time.time()
+    movies_url_list_time_cost = movies_url_list_end - movies_url_list_start
+    print(f"{GREEN_BG_BLACK_TEXT_BOLD}CRAWL MOVIES LIST DATA{RESET} Total time cost: {YELLOW_TEXT}{movies_url_list_time_cost:.2f}s{RESET_TEXT}")
+
+    movie_data_list = []
+    movies_list_data_time_start = time.time()
+    print('Start crawling movie data')
+    for movie_url in movies_url_list:
+        movie_data_start = time.time()
+
+        movie_data = crawl_movie_data(movie_url)
+        movie_data_list.append(movie_data)
+
+        movie_data_end = time.time()
+        movie_data_time_cost = movie_data_end - movie_data_start
+        print(f"    MOVIE DATA (Cost: {YELLOW_TEXT}{movie_data_time_cost:.2f}s{RESET_TEXT}) Title: {movie_data['movie_name']}")
+
+    movies_list_data_time_end = time.time()
+    movies_list_data_time_cost = movies_list_data_time_end - movies_list_data_time_start
+    movies_list_data_time_average = movies_list_data_time_cost / len(movies_url_list)
+    print(f"{GREEN_BG_BLACK_TEXT_BOLD}CRAWL MOVIE DATA{RESET} Total time cost: {YELLOW_TEXT}{movies_list_data_time_cost:.2f}s{RESET_TEXT}, average time cost: {YELLOW_TEXT}{movies_list_data_time_average:.2f}s{RESET_TEXT}")
+
+    write_to_csv(movie_data_list)
+    end_time = time.time()
+    time_cost = end_time - start_time
+    print(f"\nTotal time cost : {GREEN_TEXT}{time_cost:.2f}s{RESET_TEXT}")

data/crawl/the-numbers/crawl.py

@@ -0,0 +1,252 @@
+import time
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+import csv
+
+options = webdriver.ChromeOptions()
+options.add_argument("--log-level=3")
+driver = webdriver.Chrome()
+driver.maximize_window()
+
+def month_name_to_num(month_name):
+    month_names_to_numbers = {
+        "January": "1",
+        "February": "2",
+        "March": "3",
+        "April": "4",
+        "May": "5",
+        "June": "6",
+        "July": "7",
+        "August": "8",
+        "September": "9",
+        "October": "10",
+        "November": "11",
+        "December": "12"
+    }
+
+    month = month_names_to_numbers.get(month_name)
+    return month
+
+# movie_name
+# month
+# year
+# budget
+# runtime
+# mpaa
+# screens
+# opening_week
+# domestic_box_office
+# country
+
+with open("link/link_the-numbers.txt", "r") as file:
+    with open("movie.csv", 'a', newline='', encoding='utf-8') as csvfile:
+        fields = ['movie_name', 'month', 'year', 'budget', 'runtime', 'mpaa', 'screens', 'opening_week', 'domestic_box_office', 'country']
+        writer = csv.DictWriter(csvfile, fieldnames=fields)
+        writer.writeheader()
+
+        for link_movie in file:
+            data = {}
+
+            driver.get(link_movie)
+            time.sleep(0.5)
+
+            movie_title_element = driver.find_element(By.XPATH, "//*[@id=\"main\"]/h1")
+            movie_title = movie_title_element.text
+
+            split_string = movie_title.split(" (")
+
+            # Crawl movie_name and year, month
+            movie_name = split_string[0].replace(",", "")
+            year = int(movie_title.split('(')[-1].strip(')'))
+            print("Movie: " + movie_name + " - " + str(year))
+
+            if driver.find_elements(By.XPATH, "//*[contains(text(), 'International Releases')]") and driver.find_elements(By.XPATH, "//*[contains(text(), 'Domestic Releases:')]"):
+                all_domestic_release_element = driver.find_elements(By.XPATH, "//*[contains(text(), 'Domestic Releases:')]")
+                for domestic_release_element in all_domestic_release_element:
+                    if "Domestic Releases:" in domestic_release_element.text:
+                        parent_domestic_release_element = domestic_release_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_domestic_release_element.find_elements(By.TAG_NAME, "td")
+                        td_content = td_elements[1].text
+                        release_date = td_content.split("\n")[0].split("(")[0]
+                        # year
+                        year = int(release_date.split()[-1])
+
+                        month_name = release_date.split()[0]
+                        # month
+                        month = int(month_name_to_num(month_name))
+
+                        print("Month/Year: " + str(month) + "/" + str(year))
+                        break
+            elif driver.find_elements(By.XPATH, "//*[contains(text(), 'International Releases')]"):
+                all_international_release_element = driver.find_elements(By.XPATH, "//*[contains(text(), 'International Releases')]")
+                for international_release_element in all_international_release_element:
+                    if "International Releases" in international_release_element.text:
+                        parent_international_release_element = international_release_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_international_release_element.find_elements(By.TAG_NAME, "td")
+                        td_content = td_elements[1].text
+                        release_date = td_content.split("\n")[0].split("(")[0]
+                        # year
+                        year = int(release_date.split()[-1])
+
+                        month_name = release_date.split()[0]
+                        # month
+                        month = int(month_name_to_num(month_name))
+
+                        print("Month/Year: " + str(month) + "/" + str(year))
+                        break
+            elif driver.find_elements(By.XPATH, "//*[contains(text(), 'Domestic Releases:')]"):
+                all_domestic_release_element = driver.find_elements(By.XPATH, "//*[contains(text(), 'Domestic Releases:')]")
+                for domestic_release_element in all_domestic_release_element:
+                    if "Domestic Releases:" in domestic_release_element.text:
+                        parent_domestic_release_element = domestic_release_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_domestic_release_element.find_elements(By.TAG_NAME, "td")
+                        td_content = td_elements[1].text
+                        release_date = td_content.split("\n")[0].split("(")[0]
+                        # year
+                        year = int(release_date.split()[-1])
+
+                        month_name = release_date.split()[0]
+                        # month
+                        month = int(month_name_to_num(month_name))
+
+                        print("Month/Year: " + str(month) + "/" + str(year))
+                        break
+            else:
+                month = None
+                print("No Release")
+
+            # Crawl budget
+            if driver.find_elements(By.XPATH, "//*[contains(text(), 'Budget:')]"):
+                all_prod_budget_element = driver.find_elements(By.XPATH, "//*[contains(text(), 'Budget:')]")
+                for prod_budget_element in all_prod_budget_element:
+                    if "Production Budget" in prod_budget_element.text:
+                        parent_prod_budget_element = prod_budget_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_prod_budget_element.find_elements(By.TAG_NAME, "td")
+                        budget_content = td_elements[1].text
+                        budget = budget_content.split(" (")[0]
+                        budget = int(budget.replace(",", "").replace("$", ""))
+                        print("Budget: " + "$" + str(budget))
+                        break
+            else:
+                budget = None
+                print("No Budget")
+            
+            # Crawl runtime
+            if driver.find_elements(By.XPATH, "//*[contains(text(), 'Time:')]"):
+                all_runtime_element = driver.find_elements(By.XPATH, "//*[contains(text(), 'Time:')]")
+                for runtime_element in all_runtime_element:
+                    if "Time:" in runtime_element.text:
+                        parent_runtime_element = runtime_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_runtime_element.find_elements(By.TAG_NAME, "td")
+                        runtime_content = td_elements[1].text
+                        runtime = int(runtime_content.split(" minutes")[0])
+                        print("Runtime: " + str(runtime) + " minutes")
+                        break
+            else:
+                runtime = None
+                print("No Runtime")
+
+            # Crawl mpaa
+            if driver.find_elements(By.XPATH, "//*[contains(text(), 'Rating:')]"):
+                all_mpaa_element = driver.find_elements(By.XPATH, "//*[contains(text(), 'Rating:')]")
+                for mpaa_element in all_mpaa_element:
+                    if "Rating:" in mpaa_element.text:
+                        parent_mpaa_element = mpaa_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_mpaa_element.find_elements(By.TAG_NAME, "td")
+                        mpaa_content = td_elements[1].text
+                        mpaa = mpaa_content.split(" ")[0]
+                        print("MPAA: " + mpaa)
+                        break
+            else:
+                mpaa = None
+                print("No MPAA")
+            
+            # Crawl screens
+            if driver.find_elements(By.XPATH, "//*[contains(text(), 'counts:')]"):
+                all_screens_element = driver.find_elements(By.XPATH, "//*[contains(text(), 'counts:')]")
+                for screens_element in all_screens_element:
+                    if "counts:" in screens_element.text:
+                        parent_screens_element = screens_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_screens_element.find_elements(By.TAG_NAME, "td")
+                        screens_content = td_elements[1].text
+                        screens = screens_content.split(" ")[0]
+                        screens = int(screens.replace(",", ""))
+                        print("Screens: " + str(screens))
+                        break
+            else:
+                screens = None
+                print("No Screens")
+
+            # Crawl opening_week
+            if driver.find_elements(By.XPATH, "//*[contains(text(), 'Weekend:')]"):
+                all_opening_week_element = driver.find_elements(By.XPATH, "//*[contains(text(), 'Weekend:')]")
+                for opening_week_element in all_opening_week_element:
+                    if "Weekend:" in opening_week_element.text:
+                        parent_opening_week_element = opening_week_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_opening_week_element.find_elements(By.TAG_NAME, "td")
+                        opening_week_content = td_elements[1].text
+                        opening_week = opening_week_content.split(" (")[0]
+                        opening_week = int(opening_week.replace(",", "").replace("$", ""))
+                        print("Opening Weekend: " + "$" + str(opening_week))
+                        break
+            else:
+                opening_week = None
+                print("No Opening Weekend")
+
+            # Crawl domestic_box_office
+            if driver.find_elements(By.XPATH, "//b[contains(text(), 'Domestic Box Office')]"):
+                all_domestic_box_office_element = driver.find_elements(By.XPATH, "//b[contains(text(), 'Domestic Box Office')]")
+                for domestic_box_office_element in all_domestic_box_office_element:
+                    if "Domestic Box Office" in domestic_box_office_element.text:
+                        parent_domestic_box_office_element = domestic_box_office_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_domestic_box_office_element.find_elements(By.TAG_NAME, "td")
+                        domestic_box_office_content = td_elements[1].text
+                        if "n/a" in domestic_box_office_content:
+                            domestic_box_office = None
+                            print("No Domestic Box Office")
+                        else:
+                            domestic_box_office = domestic_box_office_content.split(" (")[0]
+                            domestic_box_office = int(domestic_box_office.replace(",", "").replace("$", ""))
+                            print("Domestic Box Office: " + "$" + str(domestic_box_office))
+                        break
+            else:
+                domestic_box_office = None
+                print("No Domestic Box Office")
+
+            # Crawl country
+            if driver.find_elements(By.XPATH, "//*[contains(text(), 'Countries:')]"):
+                all_country_element = driver.find_elements(By.XPATH, "//*[contains(text(), 'Countries:')]")
+                for country_element in all_country_element:
+                    if "Countries:" in country_element.text:
+                        parent_country_element = country_element.find_element(By.XPATH, "./..").find_element(By.XPATH, "./..")
+                        td_elements = parent_country_element.find_elements(By.TAG_NAME, "td")
+                        country_content = td_elements[1].text
+                        country = country_content.split("\n")[0]
+                        print("Country: " + country)
+                        break
+            else:
+                country = None
+                print("No Country")        
+            
+            data['movie_name'] = movie_name
+            data['month'] = month
+            data['year'] = year
+            data['budget'] = budget
+            data['runtime'] = runtime
+            data['mpaa'] = mpaa
+            data['screens'] = screens
+            data['opening_week'] = opening_week
+            data['domestic_box_office'] = domestic_box_office
+            data['country'] = country
+
+            writer.writerow(data)
+
+            print("\n")
+
+
+        
+
+print("\n\n")
+print("********************************************")
+print("--------------------XONG--------------------")
+print("********************************************")

data/crawl/the-numbers/link/crawl_link_the_numbers.py

@@ -0,0 +1,50 @@
+import time
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+
+options = webdriver.ChromeOptions()
+options.add_argument("--log-level=3")
+driver = webdriver.Chrome()
+driver.maximize_window()
+
+page_num = 8001
+
+# movie_name
+# year
+# month
+# budget
+# runtime
+# mpaa
+# opening_week
+# screens
+# genres
+# gross_revenue
+
+with open("link_movie_them.txt", "w") as file:
+    while page_num < 10001:
+        page_main_url = "https://www.the-numbers.com/box-office-records/worldwide/all-movies/cumulative/all-time/" + str(page_num)
+        driver.get(page_main_url)
+
+        all_tr_from_table_elements = driver.find_elements(By.XPATH, "//*[@id=\"page_filling_chart\"]/center/table/tbody/tr")
+        for all_tr_from_table_element in all_tr_from_table_elements:
+            tag_a_element = all_tr_from_table_element.find_elements(By.TAG_NAME, "a")
+
+            year = int(tag_a_element[0].text)
+            
+            if year < 2000 or year == 2020 or year == 2021 or year == 2022 or year == 2024:
+                continue
+
+            movie_url = tag_a_element[1].get_attribute("href")
+            file.write(movie_url + "\n")
+        page_num += 100        
+
+time.sleep(1)
+
+# Tắt trình duyệt
+driver.quit()
+
+
+print("\n\n")
+print("********************************************")
+print("--------------------XONG--------------------")
+print("********************************************")

data/crawl/the-numbers/link/long.txt

@@ -0,0 +1,1000 @@
+https://www.the-numbers.com/movie/17-Again#tab=summary
+https://www.the-numbers.com/movie/Lao-pao-er#tab=summary
+https://www.the-numbers.com/movie/Wu-Ming-(2023-China)#tab=summary
+https://www.the-numbers.com/movie/Gods-of-Egypt#tab=summary
+https://www.the-numbers.com/movie/Bruno#tab=summary
+https://www.the-numbers.com/movie/Bridge-to-Terabithia-(2007)#tab=summary
+https://www.the-numbers.com/movie/Petes-Dragon-(2016)#tab=summary
+https://www.the-numbers.com/movie/Abraham-Lincoln-Vampire-Hunter#tab=summary
+https://www.the-numbers.com/movie/Wall-Street-2-Money-Never-Sleeps-(2010)#tab=summary
+https://www.the-numbers.com/movie/Contagion#tab=summary
+https://www.the-numbers.com/movie/First-Purge-The#tab=summary
+https://www.the-numbers.com/movie/Big-Mommas-House-2#tab=summary
+https://www.the-numbers.com/movie/Stardust#tab=summary
+https://www.the-numbers.com/movie/Exorcist-Believer-The-(2023)#tab=summary
+https://www.the-numbers.com/movie/Lets-Be-Cops#tab=summary
+https://www.the-numbers.com/movie/Remember-the-Titans-(2000)#tab=summary
+https://www.the-numbers.com/movie/Jawan-(2023-India)#tab=summary
+https://www.the-numbers.com/movie/Pirates-Band-of-Misfits-The#tab=summary
+https://www.the-numbers.com/movie/Unknown-(2011)#tab=summary
+https://www.the-numbers.com/movie/Shen-Hai-(2023-China)#tab=summary
+https://www.the-numbers.com/movie/Bounty-Hunter-The#tab=summary
+https://www.the-numbers.com/movie/Saw-IV-(2007)#tab=summary
+https://www.the-numbers.com/movie/American-Made#tab=summary
+https://www.the-numbers.com/movie/Ad-Astra-(2019)#tab=summary
+https://www.the-numbers.com/movie/Cheaper-by-the-Dozen-2#tab=summary
+https://www.the-numbers.com/movie/Princess-Diaries-2-Royal-Engagement-The#tab=summary
+https://www.the-numbers.com/movie/Best-Exotic-Marigold-Hotel-The#tab=summary
+https://www.the-numbers.com/movie/Zero-Dark-Thirty#tab=summary
+https://www.the-numbers.com/movie/Pokemon-2000#tab=summary
+https://www.the-numbers.com/movie/Dr-Seuss-The-Cat-in-the-Hat-(2003)#tab=summary
+https://www.the-numbers.com/movie/Saw-3D-(2010)#tab=summary
+https://www.the-numbers.com/movie/How-Long-Will-I-Love-U-(China)-(2018)#tab=summary
+https://www.the-numbers.com/movie/Perfume-The-Story-of-a-Murderer#tab=summary
+https://www.the-numbers.com/movie/Myeong-ryang#tab=summary
+https://www.the-numbers.com/movie/Angel-Has-Fallen-(2019)#tab=summary
+https://www.the-numbers.com/movie/Marche-de-l-empereur-La#tab=summary
+https://www.the-numbers.com/movie/Wrinkle-in-Time-A-(2018)#tab=summary
+https://www.the-numbers.com/movie/Hope-Springs#tab=summary
+https://www.the-numbers.com/movie/Asterix-aux-Jeux-Olympiques#tab=summary
+https://www.the-numbers.com/movie/Big-Short-The#tab=summary
+https://www.the-numbers.com/movie/2-Guns#tab=summary
+https://www.the-numbers.com/movie/Shazam-Fury-of-the-Gods-(2022)#tab=summary
+https://www.the-numbers.com/movie/Babel#tab=summary
+https://www.the-numbers.com/movie/School-of-Rock#tab=summary
+https://www.the-numbers.com/movie/Julie-and-Julia#tab=summary
+https://www.the-numbers.com/movie/Munich-(2005)#tab=summary
+https://www.the-numbers.com/movie/House-with-a-Clock-in-its-Walls-The#tab=summary
+https://www.the-numbers.com/movie/Jack-Ryan-Shadow-Recruit#tab=summary
+https://www.the-numbers.com/movie/Blade-Trinity-(2004)#tab=summary
+https://www.the-numbers.com/movie/1408#tab=summary
+https://www.the-numbers.com/movie/Skiptrace#tab=summary
+https://www.the-numbers.com/movie/Law-Abiding-Citizen#tab=summary
+https://www.the-numbers.com/movie/Bewitched#tab=summary
+https://www.the-numbers.com/movie/Man-on-Fire-(2004)#tab=summary
+https://www.the-numbers.com/movie/Last-Witch-Hunter-The#tab=summary
+https://www.the-numbers.com/movie/About-a-Boy-(2002)#tab=summary
+https://www.the-numbers.com/movie/Cloud-Atlas#tab=summary
+https://www.the-numbers.com/movie/Mean-Girls#tab=summary
+https://www.the-numbers.com/movie/You-Me-and-Dupree#tab=summary
+https://www.the-numbers.com/movie/V-for-Vendetta#tab=summary
+https://www.the-numbers.com/movie/Atonement#tab=summary
+https://www.the-numbers.com/movie/Fighter-The-(2010)#tab=summary
+https://www.the-numbers.com/movie/Forbidden-Kingdom-The#tab=summary
+https://www.the-numbers.com/movie/Woman-in-Black-The#tab=summary
+https://www.the-numbers.com/movie/Queen-The#tab=summary
+https://www.the-numbers.com/movie/Aliens-vs-Predator-Requiem#tab=summary
+https://www.the-numbers.com/movie/Space-Cowboys#tab=summary
+https://www.the-numbers.com/movie/Blue-Beetle-(2023)#tab=summary
+https://www.the-numbers.com/movie/Nanny-McPhee#tab=summary
+https://www.the-numbers.com/movie/Secret-Superstar-(India)#tab=summary
+https://www.the-numbers.com/movie/Failure-to-Launch#tab=summary
+https://www.the-numbers.com/movie/Sap-ji-sang-ciu#tab=summary
+https://www.the-numbers.com/movie/Step-Brothers#tab=summary
+https://www.the-numbers.com/movie/Artist-The#tab=summary
+https://www.the-numbers.com/movie/Blended#tab=summary
+https://www.the-numbers.com/movie/Enders-Game#tab=summary
+https://www.the-numbers.com/movie/Yin-He-Bu-Xi-Ban-(China)#tab=summary
+https://www.the-numbers.com/movie/Heartbreak-Kid-The-(2007)#tab=summary
+https://www.the-numbers.com/movie/Bad-Moms-Christmas-A#tab=summary
+https://www.the-numbers.com/movie/U-571#tab=summary
+https://www.the-numbers.com/movie/One-and-Only-(2023-China)#tab=summary
+https://www.the-numbers.com/movie/Robert-Rodriguezs-Predators#tab=summary
+https://www.the-numbers.com/movie/Adjustment-Bureau-The#tab=summary
+https://www.the-numbers.com/movie/Midway-(2019)#tab=summary
+https://www.the-numbers.com/movie/Point-Break-(Remake)#tab=summary
+https://www.the-numbers.com/movie/Pride-and-Prejudice-(2005)#tab=summary
+https://www.the-numbers.com/movie/This-is-the-End#tab=summary
+https://www.the-numbers.com/movie/Space-Station#tab=summary
+https://www.the-numbers.com/movie/Captain-Underpants-The-First-Epic-Movie#tab=summary
+https://www.the-numbers.com/movie/Sex-Tape#tab=summary
+https://www.the-numbers.com/movie/Coraline#tab=summary
+https://www.the-numbers.com/movie/Upside-The-(2019)#tab=summary
+https://www.the-numbers.com/movie/Mechanic-Resurrection#tab=summary
+https://www.the-numbers.com/movie/Legally-Blonde-2-Red-White-and-Blonde#tab=summary
+https://www.the-numbers.com/movie/Zombieland-Double-Tap-(2019)#tab=summary
+https://www.the-numbers.com/movie/Resident-Evil-Apocalypse#tab=summary
+https://www.the-numbers.com/movie/Happy-Death-Day#tab=summary
+https://www.the-numbers.com/movie/Fack-ju-Gohte-2#tab=summary
+https://www.the-numbers.com/movie/Ride-Along-2#tab=summary
+https://www.the-numbers.com/movie/Ray-(2004)#tab=summary
+https://www.the-numbers.com/movie/Family-Man-The#tab=summary
+https://www.the-numbers.com/movie/Invictus#tab=summary
+https://www.the-numbers.com/movie/Extreme-Crisis-(China)#tab=summary
+https://www.the-numbers.com/movie/Big-Fish#tab=summary
+https://www.the-numbers.com/movie/Hide-and-Seek-(2005)#tab=summary
+https://www.the-numbers.com/movie/Chronicle#tab=summary
+https://www.the-numbers.com/movie/Magic-Mike-XXL#tab=summary
+https://www.the-numbers.com/movie/Last-Christmas-(UK)-(2019)#tab=summary
+https://www.the-numbers.com/movie/Walking-with-Dinosaurs#tab=summary
+https://www.the-numbers.com/movie/Theory-of-Everything-The-(2014)#tab=summary
+https://www.the-numbers.com/movie/My-Love-(China)-(2016)#tab=summary
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+https://www.the-numbers.com/movie/Friday-After-Next#tab=summary
+https://www.the-numbers.com/movie/Magic-in-the-Moonlight#tab=summary
+https://www.the-numbers.com/movie/Run-Fatboy-Run#tab=summary
+https://www.the-numbers.com/movie/Because-of-Winn-Dixie#tab=summary
+https://www.the-numbers.com/movie/Bad-News-Bears-The-(2005)#tab=summary
+https://www.the-numbers.com/movie/Fireproof#tab=summary
+https://www.the-numbers.com/movie/Red-Planet#tab=summary
+https://www.the-numbers.com/movie/Crocodile-Hunter-Collision-Course-The#tab=summary
+https://www.the-numbers.com/movie/Black-Knight#tab=summary
+https://www.the-numbers.com/movie/Wonder-Boys#tab=summary
+https://www.the-numbers.com/movie/2016-Obamas-America-(2012)#tab=summary
+https://www.the-numbers.com/movie/Chek-dou-(Hong-Kong)#tab=summary
+https://www.the-numbers.com/movie/Get-on-Up#tab=summary
+https://www.the-numbers.com/movie/Sleepless-(2016)#tab=summary
+https://www.the-numbers.com/movie/Gangcheolbi-(S-Korea)#tab=summary
+https://www.the-numbers.com/movie/Hurricane-Heist-The#tab=summary
+https://www.the-numbers.com/movie/Good-Liar-The-(2019)#tab=summary
+https://www.the-numbers.com/movie/Brightburn-(2019)#tab=summary
+https://www.the-numbers.com/movie/Pandora-(S-Korea)#tab=summary
+https://www.the-numbers.com/movie/Confessions-of-a-Teenage-Drama-Queen#tab=summary
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+https://www.the-numbers.com/movie/Seven-Psychopaths#tab=summary
+https://www.the-numbers.com/movie/Mr-Woodcock#tab=summary
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+https://www.the-numbers.com/movie/Salmon-Fishing-in-the-Yemen#tab=summary
+https://www.the-numbers.com/movie/Dracula-2000#tab=summary
+https://www.the-numbers.com/movie/Tadeo-Jones-2-El-Secreto-del-Rey-Midas-(Spain)#tab=summary
+https://www.the-numbers.com/movie/Rob-n-Roll-(2024-China)#tab=summary
+https://www.the-numbers.com/movie/Awake#tab=summary
+https://www.the-numbers.com/movie/88-Minutes#tab=summary
+https://www.the-numbers.com/movie/Producers-The-(2005)#tab=summary
+https://www.the-numbers.com/movie/Inside-Llewyn-Davis#tab=summary
+https://www.the-numbers.com/movie/Project-Almanac#tab=summary
+https://www.the-numbers.com/movie/Haunted-Castle#tab=summary
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+https://www.the-numbers.com/movie/Fighting-(2009)#tab=summary
+https://www.the-numbers.com/movie/Anna-(France)-(2019)#tab=summary
+https://www.the-numbers.com/movie/Za-majikku-awa#tab=summary
+https://www.the-numbers.com/movie/Tonde-Saitama-(Japan)-(2019)#tab=summary
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+https://www.the-numbers.com/movie/Invention-of-Lying-The#tab=summary
+https://www.the-numbers.com/movie/Katy-Perry-Part-of-Me#tab=summary
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+https://www.the-numbers.com/movie/UglyDolls-(2019)#tab=summary
+https://www.the-numbers.com/movie/Leap-Year#tab=summary
+https://www.the-numbers.com/movie/Secret-in-Their-Eyes#tab=summary
+https://www.the-numbers.com/movie/Nobodys-Fool-(2018)#tab=summary
+https://www.the-numbers.com/movie/Bait-(2012)#tab=summary
+https://www.the-numbers.com/movie/Kabhi-Alvida-Naa-Kehna#tab=summary
+https://www.the-numbers.com/movie/Adaptation#tab=summary
+https://www.the-numbers.com/movie/Alpha-Dog-(2007)#tab=summary
+https://www.the-numbers.com/movie/Fetih-1453#tab=summary
+https://www.the-numbers.com/movie/Wan-deuk-i#tab=summary
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+https://www.the-numbers.com/movie/Jing-Cheng-81-Hao-2-(China)#tab=summary
+https://www.the-numbers.com/movie/Wild-Safari-3D#tab=summary
+https://www.the-numbers.com/movie/Krrish#tab=summary
+https://www.the-numbers.com/movie/Baaghi-2-(India)#tab=summary
+https://www.the-numbers.com/movie/Nocturnal-Animals#tab=summary
+https://www.the-numbers.com/movie/Tiger-3-(2023-India)#tab=summary
+https://www.the-numbers.com/movie/Kioku-ni-Gozaimasen-(Japan)#tab=summary
+https://www.the-numbers.com/movie/Kevin-Hart-Let-Me-Explain#tab=summary
+https://www.the-numbers.com/movie/Pride-and-Glory-(2008)#tab=summary
+https://www.the-numbers.com/movie/Deo-Tereo-Raibeu#tab=summary
+https://www.the-numbers.com/movie/Da-Yue-Zai-Dong-Ji-(China)#tab=summary
+https://www.the-numbers.com/movie/Justin-Biebers-Believe#tab=summary
+https://www.the-numbers.com/movie/Dance-Flick#tab=summary
+https://www.the-numbers.com/movie/Rowdy-Rathore#tab=summary
+https://www.the-numbers.com/movie/Agneepath-(2012)#tab=summary
+https://www.the-numbers.com/movie/Amazing-Grace-(2007)#tab=summary
+https://www.the-numbers.com/movie/Strangers-Prey-at-Night-The#tab=summary
+https://www.the-numbers.com/movie/Bai-she-chuan-shuo#tab=summary
+https://www.the-numbers.com/movie/Piano-Teacher-The#tab=summary
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+https://www.the-numbers.com/movie/Cidade-de-Deus#tab=summary
+https://www.the-numbers.com/movie/Golmaal-3#tab=summary
+https://www.the-numbers.com/movie/Sunshine-(2007)#tab=summary
+https://www.the-numbers.com/movie/Liang-Zhi-Lao-Hu-(China)#tab=summary
+https://www.the-numbers.com/movie/Super-Troopers-2#tab=summary
+https://www.the-numbers.com/movie/Bounty-Hunters-(China)#tab=summary
+https://www.the-numbers.com/movie/Jennifers-Body#tab=summary
+https://www.the-numbers.com/movie/Junge-muss-an-die-frische-Luft-Der-(Germany)(2018)#tab=summary
+https://www.the-numbers.com/movie/Bore-(2023-China)#tab=summary
+https://www.the-numbers.com/movie/Young-Victoria-The#tab=summary
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+https://www.the-numbers.com/movie/One-Life-(2023-United-Kingdom)#tab=summary
+https://www.the-numbers.com/movie/Koe-No-Katachi-(Japan)-(2016)#tab=summary
+https://www.the-numbers.com/movie/Long-Ma-Jing-Shen-(2023-China)#tab=summary
+https://www.the-numbers.com/movie/Os-Dez-Mandamentos-O-Filme-(Brazil)#tab=summary
+https://www.the-numbers.com/movie/Pinocchio-(2002)#tab=summary
+https://www.the-numbers.com/movie/Rent#tab=summary
+https://www.the-numbers.com/movie/Girl-Next-Door-The-(2004)#tab=summary
+https://www.the-numbers.com/movie/Che-Part-1-The-Argentine#tab=summary
+https://www.the-numbers.com/movie/Daddys-Little-Girls#tab=summary
+https://www.the-numbers.com/movie/Sens-de-la-Fete-Le-(France)#tab=summary
+https://www.the-numbers.com/movie/Gekijo-ban-Sword-Art-Online-Ordinal-Scale-(Japan)#tab=summary
+https://www.the-numbers.com/movie/Mud#tab=summary
+https://www.the-numbers.com/movie/Queens-Corgi-The-(Belgium)-(2019)#tab=summary
+https://www.the-numbers.com/movie/Benvenuti-al-nord#tab=summary
+https://www.the-numbers.com/movie/Lage-Raho-Munna-Bhai#tab=summary
+https://www.the-numbers.com/movie/Yomei-Ikkagetsu-no-Hanayome#tab=summary
+https://www.the-numbers.com/movie/Son-of-Bigfoot-The-(France)#tab=summary
+https://www.the-numbers.com/movie/Three-Heroes-on-Distant-Shores-(Russia)-(2012)#tab=summary
+https://www.the-numbers.com/movie/LOL-(Laughing-Out-Loud)#tab=summary
+https://www.the-numbers.com/movie/Premium-Rush#tab=summary
+https://www.the-numbers.com/movie/Ansatsu-kyoshitsu-sotsugyo-hen-(Japan)#tab=summary
+https://www.the-numbers.com/movie/Mrs-Browns-Boys-D-Movie#tab=summary
+https://www.the-numbers.com/movie/Lost-Souls#tab=summary
+https://www.the-numbers.com/movie/Sky-of-Love#tab=summary
+https://www.the-numbers.com/movie/Johnson-Family-Vacation#tab=summary
+https://www.the-numbers.com/movie/Robot-(2010)#tab=summary
+https://www.the-numbers.com/movie/How-High#tab=summary
+https://www.the-numbers.com/movie/House-The-(2016)#tab=summary
+https://www.the-numbers.com/movie/Shou-yi-ren-(China)#tab=summary
+https://www.the-numbers.com/movie/Bye-Bye-Man-The#tab=summary
+https://www.the-numbers.com/movie/Bad-Times-at-the-El-Royale-(2018)#tab=summary
+https://www.the-numbers.com/movie/Perfectos-Desconocidos-(Spain)-(2017)#tab=summary
+https://www.the-numbers.com/movie/Movie-43#tab=summary
+https://www.the-numbers.com/movie/Joyful-Noise#tab=summary
+https://www.the-numbers.com/movie/Spring-Breakers#tab=summary
+https://www.the-numbers.com/movie/Victor-Frankenstein#tab=summary
+https://www.the-numbers.com/movie/Profs-Les#tab=summary
+https://www.the-numbers.com/movie/Nan-Fang-Che-Zhan-De-Ju-Hui-(China)#tab=summary
+https://www.the-numbers.com/movie/Love-in-the-Time-of-Cholera#tab=summary
+https://www.the-numbers.com/movie/Water-Diviner-The#tab=summary
+https://www.the-numbers.com/movie/Igor#tab=summary
+https://www.the-numbers.com/movie/This-Is-Not-What-I-Expected-(China)#tab=summary
+https://www.the-numbers.com/movie/Joe-Dirt#tab=summary
+https://www.the-numbers.com/movie/Ultraviolet#tab=summary
+https://www.the-numbers.com/movie/Vysotsky-Spasibo-Chto-Zhivoi#tab=summary
+https://www.the-numbers.com/movie/Be-Kind-Rewind#tab=summary
+https://www.the-numbers.com/movie/Hearts-in-Atlantis#tab=summary
+https://www.the-numbers.com/movie/Zatoichi#tab=summary
+https://www.the-numbers.com/movie/Masterminds-(2015)#tab=summary
+https://www.the-numbers.com/movie/Pathfinder#tab=summary
+https://www.the-numbers.com/movie/Happy-Family-(Germany)#tab=summary
+https://www.the-numbers.com/movie/Gintama-2-Okite-wa-Yaburu-tame-ni-koso-Aru-(Japan)#tab=summary
+https://www.the-numbers.com/movie/When-the-Bough-Breaks#tab=summary
+https://www.the-numbers.com/movie/Priscilla-(2023)#tab=summary
+https://www.the-numbers.com/movie/Heidi-(2015)#tab=summary
+https://www.the-numbers.com/movie/Posledniy-bogatyr-(Russia)-(2017)#tab=summary
+https://www.the-numbers.com/movie/Nancy-Drew#tab=summary
+https://www.the-numbers.com/movie/Contratiempo-(Spain)#tab=summary
+https://www.the-numbers.com/movie/Raven-The#tab=summary
+https://www.the-numbers.com/movie/Fighting-Temptations-The#tab=summary
+https://www.the-numbers.com/movie/Tazza-The-High-Rollers#tab=summary
+https://www.the-numbers.com/movie/Norm-of-the-North#tab=summary
+https://www.the-numbers.com/movie/Chi-Bi-Juezhan-Tianxia#tab=summary
+https://www.the-numbers.com/movie/2-For-the-Money#tab=summary
+https://www.the-numbers.com/movie/S-Storm-(China)#tab=summary
+https://www.the-numbers.com/movie/Hichki-(India)#tab=summary
+https://www.the-numbers.com/movie/American-Haunting-An#tab=summary
+https://www.the-numbers.com/movie/East-is-East#tab=summary
+https://www.the-numbers.com/movie/Mirai-no-Mirai-(Japan)-(2018)#tab=summary
+https://www.the-numbers.com/movie/Jonas-Brothers-3-D-Concert-Movie#tab=summary
+https://www.the-numbers.com/movie/Stick-It#tab=summary
+https://www.the-numbers.com/movie/Wedding-Invitation-A#tab=summary
+https://www.the-numbers.com/movie/Serious-Man-A#tab=summary
+https://www.the-numbers.com/movie/Pinocchio-(Italy)(2019)#tab=summary
+https://www.the-numbers.com/movie/Meng-Chong-Guo-Jiang-(China)#tab=summary
+https://www.the-numbers.com/movie/Cabin-Fever#tab=summary
+https://www.the-numbers.com/movie/Hui-Lang-Ting-(2023-China)#tab=summary
+https://www.the-numbers.com/movie/Dragonfly#tab=summary
+https://www.the-numbers.com/movie/Queen-of-the-Damned#tab=summary
+https://www.the-numbers.com/movie/Say-Yes#tab=summary
+https://www.the-numbers.com/movie/Silmido#tab=summary
+https://www.the-numbers.com/movie/American-Ultra#tab=summary
+https://www.the-numbers.com/movie/Great-Debaters-The#tab=summary
+https://www.the-numbers.com/movie/Mr-Holmes#tab=summary
+https://www.the-numbers.com/movie/Pulse#tab=summary
+https://www.the-numbers.com/movie/Billy-Lynns-Long-Halftime-Walk#tab=summary
+https://www.the-numbers.com/movie/Whats-Your-Number#tab=summary
+https://www.the-numbers.com/movie/When-the-Game-Stands-Tall#tab=summary
+https://www.the-numbers.com/movie/Prince-and-Me-The#tab=summary
+https://www.the-numbers.com/movie/Chaser-The#tab=summary
+https://www.the-numbers.com/movie/Demon-Slayer-Kimetsu-No-Yaiba-To-the-Swordsmith-Village-(2023-Japan)#tab=summary
+https://www.the-numbers.com/movie/Boku-no-Hiro-Akademia-The-Movie-Hirozu-Raijingu-(Japan)#tab=summary
+https://www.the-numbers.com/movie/Ghost-Town#tab=summary
+https://www.the-numbers.com/movie/Ni-Shi-Ying-Jiu-(China)#tab=summary
+https://www.the-numbers.com/movie/Laws-of-Attraction#tab=summary
+https://www.the-numbers.com/movie/New-in-Town#tab=summary
+https://www.the-numbers.com/movie/Small-Time-Crooks#tab=summary
+https://www.the-numbers.com/movie/Kokowaah-2#tab=summary
+https://www.the-numbers.com/movie/Kler-(Poland)-(2018)#tab=summary
+https://www.the-numbers.com/movie/Perfetti-sconosciuti-(Italy)#tab=summary
+https://www.the-numbers.com/movie/7-Zwerge-Der-Wald-Ist-Nicht-Genug#tab=summary
+https://www.the-numbers.com/movie/Mandela-Long-Walk-to-Freedom#tab=summary
+https://www.the-numbers.com/movie/Four-Feathers-The#tab=summary
+https://www.the-numbers.com/movie/Shorts#tab=summary
+https://www.the-numbers.com/movie/Losers-The#tab=summary
+https://www.the-numbers.com/movie/Draft-Day#tab=summary
+https://www.the-numbers.com/movie/St-Trinians#tab=summary
+https://www.the-numbers.com/movie/Double-Take-(2001)#tab=summary
+https://www.the-numbers.com/movie/Riding-in-Cars-with-Boys#tab=summary
+https://www.the-numbers.com/movie/Gekijo-ban-poketto-monsuta-Myutsu-no-gyakushu-Evolution-(Japan)#tab=summary
+https://www.the-numbers.com/movie/Battlefield-Earth-A-Saga-of-the-Year-3000#tab=summary
+https://www.the-numbers.com/movie/Swindlers-The-(South-Korea)#tab=summary
+https://www.the-numbers.com/movie/Far-from-the-Madding-Crowd#tab=summary
+https://www.the-numbers.com/movie/Education-An-(2009)#tab=summary
+https://www.the-numbers.com/movie/Stuber-(2019)#tab=summary
+https://www.the-numbers.com/movie/Taepung#tab=summary
+https://www.the-numbers.com/movie/Moglie-Bellissima-Una#tab=summary
+https://www.the-numbers.com/movie/Winters-Tale#tab=summary
+https://www.the-numbers.com/movie/Si-da-ming-bu#tab=summary

data/crawl/the-numbers/movie.csv

@@ -0,0 +1,66 @@
+movie_name,month,year,budget,runtime,mpaa,screens,opening_week,domestic_box_office,country
+Avatar,12,2009,237000000,162,PG-13,3452,77025481,785221649,United States
+Avengers: Endgame,4,2019,400000000,181,PG-13,4662,357115007,858373000,United States
+Star Wars Ep. VII: The Force Awakens,12,2015,306000000,136,PG-13,4134,247966675,936662225,United States
+Avengers: Infinity War,4,2018,300000000,156,PG-13,4474,257698183,678815482,United States
+Jurassic World,6,2015,215000000,124,PG-13,4274,208806270,652306625,United States
+The Lion King,7,2019,260000000,118,PG,4725,191770759,543638043,United States
+The Avengers,5,2012,225000000,143,PG-13,4349,207438708,623357910,United States
+Furious 7,4,2015,190000000,137,PG-13,4004,147187040,353007020,United States
+Frozen II,11,2019,150000000,103,PG,4440,130263358,477373578,United States
+Barbie,7,2023,151000000,114,PG-13,4243,162022044,636238421,United States
+Avengers: Age of Ultron,5,2015,365000000,141,PG-13,4276,191271109,459005868,United States
+The Super Mario Bros. Movie,4,2023,100000000,92,PG,4343,146361865,574934330,"Japan, United States"
+Black Panther,2,2018,200000000,120,PG-13,4020,202003951,700059566,United States
+Star Wars Ep. VIII: The Last Jedi,12,2017,262000000,150,PG-13,4232,220009584,620181382,United States
+Harry Potter and the Deathly Hallows: Part II,7,2011,125000000,131,PG-13,4375,169189427,381193157,"United Kingdom, United States"
+Jurassic World: Fallen Kingdom,6,2018,170000000,128,PG-13,4475,148024610,417719760,United States
+Frozen,11,2013,150000000,102,PG,1,243390,400953009,United States
+Beauty and the Beast,3,2017,160000000,123,PG,4210,174750616,504014165,United States
+Incredibles 2,6,2018,200000000,118,PG,4410,182687905,608581744,United States
+The Fate of the Furious,4,2017,250000000,136,PG-13,4310,98786705,225764765,United States
+Iron Man 3,5,2013,200000000,130,PG-13,4253,174144585,408992272,United States
+Minions,7,2015,74000000,91,PG,4301,115718405,336045770,United States
+Captain America: Civil War,5,2016,250000000,146,PG-13,4226,179139142,408084349,United States
+Spider-Man: Far From Home,7,2019,160000000,129,PG-13,4634,92579212,390532085,United States
+Aquaman,12,2018,160000000,143,PG-13,4125,67873522,335061807,United States
+Captain Marvel,3,2019,175000000,124,PG-13,4310,153433423,426829839,United States
+Transformers: Dark of the Moon,6,2011,195000000,154,PG-13,4088,97852865,352390543,United States
+The Lord of the Rings: The Return of the King,12,2003,94000000,201,PG-13,3703,72629713,379021990,"New Zealand, United States"
+Skyfall,11,2012,200000000,143,PG-13,3505,88364714,304360277,"United Kingdom, United States"
+Transformers: Age of Extinction,6,2014,210000000,165,PG-13,4233,100038390,245439076,United States
+The Dark Knight Rises,7,2012,230000000,164,PG-13,4404,160887295,448139099,United States
+Toy Story 4,6,2019,200000000,89,"G
+(Rating",4575,120908065,434038008,United States
+Star Wars: The Rise of Skywalker,12,2019,275000000,142,PG-13,4406,177383864,515202542,United States
+Toy Story 3,6,2010,200000000,102,"G
+(Rating",4028,110307189,415004880,United States
+Pirates of the Caribbean: Dead Man’s Chest,7,2006,225000000,151,PG-13,4133,135634554,423315812,United States
+Joker,10,2019,55000000,122,R,4374,96202337,335451311,United States
+Rogue One: A Star Wars Story,12,2016,200000000,134,PG-13,4157,155081681,533539991,United States
+Aladdin,5,2019,182000000,128,PG,4476,91500929,355559216,"India, United States"
+Pirates of the Caribbean: On Stranger Tides,5,2011,379000000,136,PG-13,4155,90151958,241071802,United States
+Despicable Me 3,6,2017,75000000,90,PG,4529,72434025,264624300,United States
+Alice in Wonderland,3,2010,200000000,108,PG,3728,116101023,334191110,United States
+Finding Dory,6,2016,200000000,103,PG,4305,135060273,486295561,United States
+The Hobbit: An Unexpected Journey,12,2012,200000000,169,PG-13,4045,84617303,303003568,"New Zealand, United States"
+Zootopia,3,2016,150000000,108,PG,3827,75063401,341268248,United States
+The Dark Knight,7,2008,185000000,152,PG-13,4366,158411483,534235491,United States
+Despicable Me 2,7,2013,76000000,98,PG,3997,84227980,368065385,United States
+Oppenheimer,7,2023,100000000,180,R,3610,82455420,329862540,"United Kingdom, United States"
+Harry Potter and the Sorcerer’s Stone,11,2001,125000000,152,PG,3672,90294621,317871467,"United Kingdom, United States"
+Jumanji: Welcome to the Jungle,12,2017,90000000,119,PG-13,3765,36169328,404508916,United States
+Pirates of the Caribbean: At World’s End,5,2007,300000000,167,PG-13,4362,114732820,309420425,United States
+The Hobbit: The Desolation of Smaug,12,2013,250000000,201,PG-13,3903,73645197,258241522,"New Zealand, United States"
+The Jungle Book,4,2016,175000000,105,PG,4028,103261464,364001123,United States
+Harry Potter and the Deathly Hallows: Part I,11,2010,125000000,146,PG-13,4125,125017372,296837581,"United Kingdom, United States"
+The Hobbit: The Battle of the Five Armies,12,2014,250000000,144,PG-13,3875,54724334,255119788,"New Zealand, United States"
+Harry Potter and the Order of the Phoenix,7,2007,150000000,138,PG-13,4285,77108414,292137260,"United Kingdom, United States"
+Shrek 2,5,2004,70000000,92,PG,4163,108037878,441426807,United States
+Finding Nemo,5,2003,94000000,100,G,3374,70251710,380529370,United States
+Harry Potter and the Half-Blood Prince,7,2009,250000000,153,PG,4325,77835727,302089278,"United Kingdom, United States"
+The Lord of the Rings: The Two Towers,12,2002,94000000,179,PG-13,3622,62007528,342548984,"New Zealand, United States"
+Spider-Man 3,5,2007,258000000,139,PG-13,4252,151116516,337607351,United States
+The Lord of the Rings: The Fellowship of the Ring,12,2001,93000000,179,PG-13,3359,47211490,315544750,"New Zealand, United States"
+Ice Age: Dawn of the Dinosaurs,7,2009,90000000,93,PG,4099,41690382,196573705,United States
+The Secret Life of Pets,7,2016,75000000,91,PG,4370,104352905,369094830,United States

data/crawl/themoviedb/crawl.py

@@ -0,0 +1,160 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import csv
+
+# sequel
+
+user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
+headers = {"User-Agent": user_agent}
+
+def convert_month(month):
+    dict = {
+        1: "January",
+        2: "February",
+        3: "March",
+        4: "April",
+        5: "May",
+        6: "June",
+        7: "July",
+        8: "August",
+        9: "September",
+        10: "October",
+        11: "November",
+        12: "December"
+    }
+    return dict[month]
+
+def convert_month_to_int(month):
+    dict = {
+        "January": 1,
+        "February": 2,
+        "March": 3,
+        "April": 4,
+        "May": 5,
+        "June": 6,
+        "July": 7,
+        "August": 8,
+        "September": 9,
+        "October": 10,
+        "November": 11,
+        "December": 12
+    }
+    return dict[month]
+
+def page_search(soup_search, movie_title, month_release, year_release):
+    result_element = soup_search.find("div", {"class": "results flex"})
+
+    if result_element is None:
+        return 0
+
+    all_div_results = result_element.find_all("div", {"class": "card v4 tight"})
+
+    for result in all_div_results:
+        movie_title_element = result.find("h2")
+        if movie_title_element.find("span", {"class": "title"}):
+            movie_name = movie_title_element.find("span", {"class": "title"}).text.strip("()")
+        else:
+            movie_name = movie_title_element.text
+
+        if result.find("span", {"class": "release_date"}):
+            release_date = result.find("span", {"class": "release_date"}).text
+            month = release_date.split(",")[0].strip().split(" ")[0].strip()
+            year = release_date.split(",")[1].strip()
+        else:
+            release_date = ""
+            month = ""
+            year = ""
+
+        # print(movie_title + " - " + str(month_release) + "/" + str(year_release))
+        # print("\n" + movie_name + " - " + month + "/" + year)
+
+        if str(year) == str(year_release) and str(movie_name) == str(movie_title):
+            # url
+            url = "https://www.themoviedb.org" + result.find("a")["href"]
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.content, 'html.parser')
+                sequel = crawl(soup)
+                return sequel
+            else:
+                print("Failed to fetch data:", response.status_code)
+        
+    return 0
+
+
+def crawl(soup):
+    section_keywords_element = soup.find("section", {"class": "keywords right_column"})
+
+    if section_keywords_element is None:
+        return 0
+    
+    ul_keywords_element = section_keywords_element.find("ul")
+
+    if ul_keywords_element is None:
+        return 0
+    
+    li_keyword_elements = ul_keywords_element.find_all("li")
+
+    sequel = 0
+
+    for li_keyword in li_keyword_elements:
+        if li_keyword.text == "sequel":
+            sequel = 1
+        
+    if sequel == 0:
+        print("No Sequel")
+    else:
+        print("Sequel")
+
+    return sequel
+
+if __name__ == "__main__":
+    df = pd.read_csv("../merge_data/critic_merged1.csv")
+    movie_name_list = df["movie_name"].tolist()
+    month_list = df["month"].tolist()
+    # print(month_list)
+    # month_list = [convert_month(int(month)) for month in month_list]   
+
+    for i, month in enumerate(month_list):
+        if pd.isnull(month):
+            month_list[i] = ""
+        else:
+            month_list[i] = convert_month(int(month))
+
+    year_list = df["year"].tolist()
+
+    for i, year in enumerate(year_list):
+        if pd.isnull(year):
+            year_list[i] = ""
+        else:
+            year_list[i] = int(year)
+
+    with open("data/data1.csv", 'w', newline='', encoding='utf-8') as csvfile:
+        fields = ['movie_name', 'month', 'year', 'sequel']
+        writer = csv.DictWriter(csvfile, fieldnames=fields)
+        writer.writeheader()
+
+        for movie_name in movie_name_list:
+            print(str(movie_name_list.index(movie_name)) + ". Movie Name: ", movie_name)
+            url = "https://www.themoviedb.org/search/movie?query=" + movie_name
+            # print(url)
+            response = requests.get(url, headers=headers)
+
+            if response.status_code == 200:
+                soup = BeautifulSoup(response.content, 'html.parser')
+                sequel = page_search(soup, movie_name, month_list[movie_name_list.index(movie_name)], year_list[movie_name_list.index(movie_name)])
+            else:
+                print("Failed to fetch data:", response.status_code)
+
+            print("-----------------------------------------------")
+
+            data = {}
+
+            data['movie_name'] = movie_name
+            data['month'] = convert_month_to_int(month_list[movie_name_list.index(movie_name)])
+            data['year'] = year_list[movie_name_list.index(movie_name)]
+            data['sequel'] = sequel
+
+            writer.writerow(data)

data/crawl/themoviedb/data/all_data_themoviedb.csv

@@ -0,0 +1,3009 @@
+movie_name,month,year,sequel
+10 Cloverfield Lane,3,2016,0
+10000 BC,3,2008,0
+102 Dalmatians,11,2000,0
+12 Rounds,3,2009,0
+12 Strong,1,2018,0
+12 Years a Slave,10,2013,0
+127 Hours,11,2010,0
+13 Going on 30,4,2004,0
+13 Hours: The Secret Soldiers of Benghazi,1,2016,0
+1408,6,2007,0
+15 Minutes,3,2001,0
+16 Blocks,3,2006,0
+17 Again,4,2009,0
+2 Fast 2 Furious,6,2003,0
+2 Guns,8,2013,0
+2012,11,2009,0
+20th Century Women,12,2016,0
+21,3,2008,0
+21 & Over,3,2013,0
+21 Bridges,11,2019,0
+21 Grams,11,2003,0
+21 Jump Street,3,2012,0
+22 Jump Street,6,2014,0
+25th Hour,12,2002,0
+27 Dresses,1,2008,0
+28 Days,4,2000,0
+28 Weeks Later,5,2007,0
+3 Days to Kill,2,2014,0
+3 Strikes,3,2000,0
+30 Days of Night,10,2007,0
+30 Minutes or Less,8,2011,0
+3000 Miles to Graceland,2,2001,0
+300: Rise of an Empire,3,2014,0
+3:10 to Yuma,9,2007,0
+40 Days and 40 Nights,3,2002,0
+42,4,2013,0
+47 Meters Down,6,2017,0
+47 Meters Down: Uncaged,8,2019,1
+47 Ronin,12,2013,0
+50 First Dates,2,2004,0
+50/50,9,2011,0
+500 Days of Summer,7,2009,0
+65,3,2023,0
+8 Mile,11,2002,0
+80 for Brady,2,2023,0
+88 Minutes,4,2008,0
+9,9,2009,0
+90 Minutes in Heaven,9,2015,0
+A Bad Moms Christmas,11,2017,0
+A Beautiful Day in the Neighborhood,12,2019,0
+A Beautiful Mind,12,2001,0
+A Better Life,6,2011,0
+A Christmas Carol,11,2009,0
+A Cinderella Story,7,2004,0
+A Cure for Wellness,2,2017,0
+A Dangerous Method,11,2011,0
+A Dog's Journey,5,2019,1
+A Dog's Purpose,1,2017,0
+A Dog's Way Home,1,2019,0
+A Ghost Story,7,2017,0
+A Good Day to Die Hard,2,2013,0
+A Good Year,11,2006,0
+A Guy Thing,1,2003,0
+A Haunted House,1,2013,0
+A Haunted House 2,4,2014,0
+A History of Violence,9,2005,0
+A Hologram for the King,4,2016,0
+A Home at the End of the World,7,2004,0
+A Knight's Tale,5,2001,0
+A Lot Like Love,4,2005,0
+A Madea Family Funeral,3,2019,1
+A Man Apart,4,2003,0
+A Mighty Heart,6,2007,0
+A Mighty Wind,4,2003,0
+A Million Ways to Die in the West,5,2014,0
+A Monster Calls,12,2016,0
+A Most Violent Year,12,2014,0
+A Most Wanted Man,7,2014,0
+A Nightmare on Elm Street,4,2010,0
+A Perfect Getaway,8,2009,0
+A Prairie Home Companion,6,2006,0
+A Quiet Place,4,2018,0
+A Scanner Darkly,7,2006,0
+A Series of Unfortunate Events,12,2004,0
+A Serious Man,10,2009,0
+A Simple Favor,9,2018,0
+A Single Man,12,2009,0
+A Sound of Thunder,9,2005,0
+A Star Is Born,10,2018,0
+A Thousand Words,3,2012,0
+A Very Harold & Kumar Christmas,11,2011,1
+A Very Long Engagement,11,2004,0
+A Walk Among the Tombstones,9,2014,0
+A Walk in the Woods,9,2015,0
+A Walk to Remember,1,2002,0
+A Wrinkle in Time,3,2018,0
+A.I. Artificial Intelligence,6,2001,0
+ATL,3,2006,0
+Abandon,10,2002,0
+Abduction,9,2011,0
+Abominable,9,2019,0
+About Last Night,2,2014,0
+About Schmidt,12,2002,0
+About Time,9,2013,0
+About a Boy,5,2002,0
+Abraham Lincoln: Vampire Hunter,6,2012,0
+Accepted,8,2006,0
+Acrimony,3,2018,0
+Across the Universe,9,2007,0
+Act of Valor,2,2012,0
+Action Point,6,2018,0
+Ad Astra,9,2019,0
+Adaptation.,12,2002,0
+Addicted,10,2014,0
+Admission,3,2013,0
+Adrift,6,2018,0
+Adventureland,4,2009,0
+After,4,2019,0
+After Earth,5,2013,0
+After the Sunset,11,2004,0
+Against the Ropes,2,2004,0
+Agent Cody Banks,3,2003,0
+Agent Cody Banks 2: Destination London,3,2004,0
+Akeelah and the Bee,4,2006,0
+Aladdin,5,2019,0
+Alex & Emma,6,2003,0
+Alex Cross,10,2012,0
+Alexander,11,2004,0
+Alexander and the Terrible Horrible No Good Very Bad Day,10,2014,0
+"Alexander and the Terrible, Horrible, No Good, Very Bad Day",10,2014,0
+Alfie,11,2004,0
+Ali,12,2001,0
+Alice Through the Looking Glass,5,2016,1
+Alice in Wonderland,3,2010,0
+Alien vs. Predator,8,2004,0
+Alien: Covenant,5,2017,1
+Aliens in the Attic,7,2009,0
+Alita: Battle Angel,2,2019,0
+All About Steve,9,2009,0
+All About the Benjamins,3,2002,0
+All Eyez on Me,6,2017,0
+All Saints,8,2017,0
+All or Nothing,10,2002,0
+All the King's Men,9,2006,0
+All the Money in the World,12,2017,0
+All the Pretty Horses,12,2000,0
+Allied,11,2016,0
+Almost Christmas,11,2016,0
+Almost Famous,9,2000,0
+Aloha,5,2015,0
+Alone in the Dark,1,2005,0
+Along Came Polly,1,2004,0
+Along Came a Spider,4,2001,0
+Alpha,8,2018,0
+Alpha and Omega,9,2010,0
+Alvin and the Chipmunks,12,2007,0
+Alvin and the Chipmunks: Chipwrecked,12,2011,1
+Alvin and the Chipmunks: The Road Chip,12,2015,0
+Alvin and the Chipmunks: The Squeakquel,12,2009,0
+Amelia,10,2009,0
+America's Sweethearts,7,2001,0
+American Assassin,9,2017,0
+American Dreamz,4,2006,0
+American Gangster,11,2007,0
+American Hustle,12,2013,0
+American Made,9,2017,0
+American Outlaws,8,2001,0
+American Pie 2,8,2001,0
+American Psycho,10,2020,0
+American Reunion,4,2012,1
+American Sniper,12,2014,0
+American Splendor,8,2003,0
+American Ultra,8,2015,0
+American Wedding,8,2003,0
+Amour,12,2012,0
+Am�lie,11,2001,0
+An American Carol,10,2008,0
+An Education,10,2009,0
+An Everlasting Piece,12,2000,0
+An Inconvenient Sequel: Truth to Power,7,2017,0
+An Inconvenient Truth,5,2006,0
+An Unfinished Life,9,2005,0
+Anacondas: The Hunt for the Blood Orchid,8,2004,0
+Analyze That,12,2002,0
+Anchorman: The Legend of Ron Burgundy,7,2004,0
+And So It Goes,7,2014,0
+Angel Eyes,5,2001,0
+Angel Has Fallen,8,2019,1
+Angels & Demons,5,2009,0
+Anger Management,4,2003,0
+Animal Kingdom,8,2010,0
+Anna,6,2019,0
+Anna Karenina,11,2012,0
+Annabelle,10,2014,0
+Annabelle Comes Home,6,2019,0
+Annabelle: Creation,8,2017,0
+Annie,12,2014,0
+Annihilation,2,2018,0
+Anomalisa,12,2015,0
+Anonymous,10,2011,0
+Another Year,12,2010,0
+Ant-Man,7,2015,0
+Ant-Man and the Wasp,7,2018,1
+Ant-Man and the Wasp: Quantumania,2,2023,1
+Antitrust,1,2001,0
+Antwone Fisher,12,2002,0
+Anyone But You,12,2023,0
+Anything Else,9,2003,0
+Apocalypto,12,2006,0
+Apollo 18,9,2011,0
+Appaloosa,9,2008,0
+Aqua Teen Hunger Force Colon Movie Film for Theaters,4,2007,0
+Aquaman,12,2018,0
+Aquaman and the Lost Kingdom,12,2023,1
+Aquamarine,3,2006,0
+Ararat,11,2002,0
+Arbitrage,9,2012,0
+Arctic Dogs,11,2019,0
+Are We There Yet?,1,2005,0
+Argo,10,2012,0
+Argylle,1,2024,0
+Armored,12,2009,0
+Around the World in 80 Days,6,2004,0
+Arrival,11,2016,0
+Arthur,4,2011,0
+Arthur Christmas,11,2011,0
+"As Above, So Below",8,2014,0
+Assassin's Creed,12,2016,0
+Assault on Precinct 13,1,2005,0
+Astro Boy,10,2009,0
+Atlantis: The Lost Empire,6,2001,0
+Atlas Shrugged: Part I,4,2011,0
+Atomic Blonde,7,2017,0
+Atonement,12,2007,0
+Attack the Block,7,2011,0
+August Rush,11,2007,0
+August: Osage County,12,2013,0
+Austin Powers in Goldmember,7,2002,0
+Australia,11,2008,0
+Autumn in New York,8,2000,0
+Avatar,12,2009,0
+Avengers: Age of Ultron,5,2015,1
+Avengers: Endgame,4,2019,1
+Avengers: Infinity War,4,2018,0
+Awake,11,2007,0
+Away We Go,6,2009,0
+Babel,10,2006,0
+Baby Boy,6,2001,0
+Baby Driver,6,2017,0
+Baby Mama,4,2008,0
+Babylon A.D.,8,2008,0
+Bachelorette,9,2012,0
+Bad Boys II,7,2003,1
+Bad Company,6,2002,0
+Bad Education,11,2004,0
+Bad Lieutenant: Port of Call New Orleans,11,2009,0
+Bad Moms,7,2016,0
+Bad News Bears,7,2005,0
+Bad Santa,11,2003,0
+Bad Santa 2,11,2016,0
+Bad Teacher,6,2011,0
+Bad Times at the El Royale,10,2018,0
+Bad Words,3,2014,0
+Baggage Claim,9,2013,0
+Bait,9,2000,0
+Ballistic: Ecks vs. Sever,9,2002,0
+Bandits,10,2001,0
+Bandslam,8,2009,0
+Bangkok Dangerous,9,2008,0
+Barbershop,9,2002,0
+Barbershop 2: Back in Business,2,2004,0
+Barbershop: The Next Cut,4,2016,1
+Barbie,7,2023,0
+Barnyard,8,2006,0
+Basic,3,2003,0
+Basic Instinct 2,3,2006,0
+Batman Begins,6,2005,0
+Batman v Superman: Dawn of Justice,3,2016,0
+Battle Los Angeles,3,2011,0
+Battle of the Sexes,9,2017,0
+Battle of the Year,9,2013,0
+Battleship,5,2012,0
+Baywatch,5,2017,0
+Be Cool,3,2005,0
+Be Kind Rewind,2,2008,0
+Beastly,3,2011,0
+Beasts of the Southern Wild,6,2012,0
+Beautiful Boy,10,2018,0
+Beautiful Creatures,2,2013,0
+Beauty Shop,3,2005,0
+Beauty and the Beast,3,2017,0
+Because I Said So,2,2007,0
+Because of Winn-Dixie,2,2005,0
+Becoming Jane,8,2007,0
+Bedazzled,10,2000,0
+Bedtime Stories,12,2008,0
+Bee Movie,11,2007,0
+Bee Season,11,2005,0
+Beerfest,8,2006,0
+Before I Fall,3,2017,0
+Before I Go to Sleep,10,2014,0
+Before Midnight,5,2013,0
+Before Sunset,7,2004,0
+Behind Enemy Lines,11,2001,0
+Being Julia,10,2004,0
+Ben-Hur,8,2016,0
+Beowulf,11,2007,0
+Best in Show,9,2000,0
+Beverly Hills Chihuahua,10,2008,0
+Bewitched,6,2005,0
+Beyond Borders,10,2003,0
+Beyond the Lights,11,2014,0
+Beyond the Sea,12,2004,0
+Big Eyes,12,2014,0
+Big Fat Liar,2,2002,0
+Big Fish,12,2003,0
+Big Hero 6,11,2014,0
+Big Miracle,2,2012,0
+Big Momma's House,6,2000,0
+Big Momma's House 2,1,2006,0
+Big Mommas: Like Father Like Son,2,2011,0
+"Big Mommas: Like Father, Like Son",2,2011,1
+Big Trouble,4,2002,0
+Bigger Than the Sky,2,2005,0
+Biker Boyz,1,2003,0
+Billy Elliot,10,2000,0
+Birdman or (The Unexpected Virtue of Ignorance),10,2014,0
+Birth,10,2004,0
+BlacKkKlansman,8,2018,0
+Black Christmas,12,2006,0
+Black Hawk Down,12,2001,0
+Black Knight,11,2001,0
+Black Mass,9,2015,0
+Black Nativity,11,2013,0
+Black Panther,2,2018,0
+Black Snake Moan,3,2007,0
+Black Swan,12,2010,0
+Black and Blue,10,2019,0
+Blackhat,1,2015,0
+Blade II,3,2002,0
+Blade Runner 2049,10,2017,1
+Blade: Trinity,12,2004,0
+Blades of Glory,3,2007,0
+Blair Witch,9,2016,0
+Bleed for This,12,2016,0
+Blended,5,2014,0
+Bless the Child,8,2000,0
+Blinded by the Light,8,2019,0
+Blindness,10,2008,0
+Blockers,4,2018,0
+Blood Diamond,12,2006,0
+Blood Done Sign My Name,2,2010,0
+Blood Work,8,2002,0
+Blood and Chocolate,1,2007,0
+Blow,4,2001,0
+Blue Beetle,8,2023,0
+Blue Crush,8,2002,0
+Blue Jasmine,7,2013,0
+Blue Valentine,12,2010,0
+Boat Trip,3,2003,0
+Bobby,11,2006,0
+Bobby Jones: Stroke of Genius,4,2004,0
+Body of Lies,10,2008,0
+Bohemian Rhapsody,11,2018,0
+Boiler Room,2,2000,0
+Bolt,11,2008,0
+Bombshell,12,2019,0
+Bon Voyage,10,2003,0
+Bones,10,2001,0
+Boo 2! A Madea Halloween,10,2017,1
+Boo! A Madea Halloween,10,2016,0
+Boogeyman,2,2005,0
+Book Club,5,2018,0
+Book of Shadows: Blair Witch 2,10,2000,0
+Booksmart,5,2019,0
+Borat,11,2006,0
+Bounce,11,2000,0
+Bowling for Columbine,10,2002,0
+Boy Erased,11,2018,0
+Boyhood,7,2014,0
+Boys and Girls,6,2000,0
+Brave,6,2012,0
+Breakin' All the Rules,5,2004,0
+Breaking In,5,2018,0
+Breakthrough,4,2019,0
+Brick Mansions,4,2014,1
+Bride & Prejudice,2,2005,0
+Bride Wars,1,2009,0
+Bridesmaids,5,2011,0
+Bridge of Spies,10,2015,0
+Bridge to Terabithia,2,2007,0
+Bridget Jones's Baby,9,2016,1
+Bridget Jones's Diary,4,2001,0
+Bridget Jones: The Edge of Reason,11,2004,0
+Bright Star,9,2009,0
+Brightburn,5,2019,0
+Bringing Down the House,3,2003,0
+Brokeback Mountain,12,2005,0
+Broken City,1,2013,0
+Broken Flowers,8,2005,0
+Brooklyn,11,2015,0
+Brooklyn Rules,5,2007,0
+Brother Bear,10,2003,0
+Brothers,12,2009,0
+Brown Sugar,10,2002,0
+Bruce Almighty,5,2003,0
+Brüno,7,2009,0
+Bubble,1,2006,0
+Bubble Boy,8,2001,0
+Bucky Larson: Born to Be a Star,9,2011,0
+Buffalo Soldiers,7,2003,0
+Bulletproof Monk,4,2003,0
+Bumblebee,12,2018,0
+Buried,9,2010,0
+Burlesque,11,2010,0
+Burn After Reading,9,2008,0
+Burnt,10,2015,0
+CHIPS,3,2017,0
+Ca$h,3,2010,0
+Cabrini,3,2024,0
+Caché,12,2005,0
+Cadillac Records,12,2008,0
+Café Society,5,2016,0
+Calendar Girls,12,2003,0
+Call Me by Your Name,11,2017,0
+Can You Ever Forgive Me?,10,2018,0
+Capitalism: A Love Story,9,2009,0
+Capote,9,2005,0
+Captain America: Civil War,5,2016,1
+Captain America: The First Avenger,7,2011,0
+Captain America: The Winter Soldier,4,2014,0
+Captain Corelli's Mandolin,8,2001,0
+Captain Fantastic,7,2016,0
+Captain Marvel,3,2019,0
+Captain Phillips,10,2013,0
+Captain Underpants: The First Epic Movie,6,2017,0
+Captive State,3,2019,0
+Carnage,12,2011,0
+Carol,11,2015,0
+Carrie,10,2013,0
+Cars,6,2006,0
+Cars 2,6,2011,1
+Cars 3,6,2017,1
+Casa de mi Padre,3,2012,0
+Casino Jack,12,2010,0
+Casino Royale,11,2006,0
+Cast Away,12,2000,0
+Catch Me If You Can,12,2002,0
+Catch That Kid,2,2004,0
+Catch a Fire,10,2006,0
+Cats,12,2019,0
+Cats & Dogs,7,2001,0
+Cats & Dogs: The Revenge of Kitty Galore,7,2010,0
+Catwoman,7,2004,0
+Cedar Rapids,2,2011,0
+Cellular,9,2004,0
+Center Stage,5,2000,0
+Central Intelligence,6,2016,0
+Centurion,8,2010,0
+Chain Letter,10,2010,0
+Changeling,10,2008,0
+Changing Lanes,4,2002,0
+Chappie,3,2015,0
+Charlie St. Cloud,7,2010,0
+Charlie Wilson's War,12,2007,0
+Charlie and the Chocolate Factory,7,2005,0
+Charlie's Angels,11,2000,0
+Charlie's Angels: Full Throttle,6,2003,0
+Charlotte's Web,12,2006,0
+Chasing Liberty,1,2004,0
+Chasing Mavericks,10,2012,0
+Chasing Papi,4,2003,0
+Cheaper by the Dozen,12,2003,0
+Cheaper by the Dozen 2,12,2005,0
+Chernobyl Diaries,5,2012,0
+Chicago,12,2002,0
+Chicken Little,11,2005,0
+Chicken Run,6,2000,0
+Child 44,4,2015,0
+Child's Play,6,2019,0
+Children of Men,12,2006,0
+Chocolat,12,2000,0
+Christmas with the Kranks,11,2004,0
+Christopher Robin,8,2018,0
+Chronicle,2,2012,0
+Church Ball,3,2006,0
+Churchill,6,2017,0
+Ch�ri,6,2009,0
+Cinderella,3,2015,0
+Cinderella Man,6,2005,0
+Circumstance,8,2011,0
+Cirque du Freak: The Vampire's Assistant,10,2009,0
+Cirque du Soleil: Worlds Away,12,2012,0
+City by the Sea,9,2002,0
+City of Ember,10,2008,0
+City of Life and Death,5,2011,0
+Civil War,4,2024,0
+Clash of the Titans,4,2010,0
+Clerks II,7,2006,0
+Click,6,2006,0
+Clockstoppers,3,2002,0
+Closer,12,2004,0
+Cloud Atlas,10,2012,0
+Cloudy with a Chance of Meatballs,9,2009,0
+Cloudy with a Chance of Meatballs 2,9,2013,1
+Cloverfield,1,2008,0
+Club Dread,2,2004,0
+Coach Carter,1,2005,0
+Coco,11,2017,0
+Coco Before Chanel,9,2009,0
+Code Name: The Cleaner,1,2007,0
+Cold Mountain,12,2003,0
+Cold Pursuit,2,2019,0
+Collateral,8,2004,0
+Collateral Beauty,12,2016,0
+Collateral Damage,2,2002,0
+College,8,2008,0
+Colombiana,8,2011,0
+Compadres,4,2016,0
+Conan the Barbarian,8,2011,0
+Concussion,10,2013,0
+Confessions of a Dangerous Mind,12,2002,0
+Confessions of a Teenage Drama Queen,2,2004,0
+Confidence,4,2003,0
+Connie and Carla,4,2004,0
+Constantine,2,2005,0
+Contagion,9,2011,0
+Contraband,1,2012,0
+Conviction,10,2010,0
+Cop Out,2,2010,0
+Copying Beethoven,11,2006,0
+Coraline,2,2009,0
+Corky Romano,10,2001,0
+Corpse Bride,9,2005,0
+Countdown,10,2019,0
+Country Strong,12,2010,0
+Couples Retreat,10,2009,0
+Courageous,9,2011,0
+Cowboys & Aliens,7,2011,0
+Coyote Ugly,12,2000,0
+Cradle 2 the Grave,2,2003,0
+Crank,9,2006,0
+Crash,5,2005,0
+Crawl,7,2019,0
+Crazy Heart,12,2009,0
+Crazy Rich Asians,8,2018,0
+Crazy Stupid Love.,7,2011,0
+Crazy as Hell,9,2002,0
+Crazy/Beautiful,6,2001,0
+Creed,11,2015,0
+Creed II,11,2018,1
+Creed III,3,2023,1
+Criminal,4,2016,0
+Crimson Peak,10,2015,0
+Crocodile Dundee in Los Angeles,4,2001,0
+Crossover,9,2006,0
+Crossroads,2,2002,0
+Crouching Tiger Hidden Dragon,2,2023,0
+Crush,4,2002,0
+Cry Wolf,9,2005,0
+Curious George,2,2006,0
+Cursed,2,2005,0
+Cyrus,6,2010,0
+Daddy Day Camp,8,2007,0
+Daddy Day Care,5,2003,0
+Daddy's Home 2,11,2017,1
+Dahmer,6,2002,0
+Dallas Buyers Club,11,2013,0
+Dance Flick,5,2009,0
+Dancer in the Dark,9,2000,0
+Danny Collins,3,2015,0
+Daredevil,2,2003,0
+Dark Places,8,2015,0
+Dark Shadows,5,2012,0
+Dark Skies,2,2013,0
+Dark Water,7,2005,0
+Darkest Hour,11,2017,0
+Darkness Falls,1,2003,0
+Date Movie,2,2006,0
+Date Night,4,2010,0
+Dawn of the Dead,3,2004,0
+Dawn of the Planet of the Apes,7,2014,1
+De-Lovely,7,2004,0
+Dead Man Down,3,2013,0
+Dead Silence,3,2007,0
+Deadpool,2,2016,0
+Deadpool 2,5,2018,1
+Dear John,2,2010,0
+Dear White People,10,2014,0
+Death Race,8,2008,0
+Death Sentence,8,2007,0
+Death Wish,3,2018,0
+Death at a Funeral,4,2010,0
+Death of a Nation,8,2018,0
+Death of a President,10,2006,0
+Death to Smoochy,3,2002,0
+Deception,4,2008,0
+Deck the Halls,11,2006,0
+Deepwater Horizon,9,2016,0
+Defiance,12,2008,0
+"Definitely, Maybe",2,2008,0
+Deja Vu,11,2006,0
+Deliver Us from Evil,10,2006,0
+Delivery Man,11,2013,0
+Den of Thieves,1,2018,0
+Denial,9,2016,0
+Derailed,11,2005,0
+Despicable Me,7,2010,0
+Despicable Me 2,7,2013,1
+Despicable Me 3,6,2017,1
+Destroyer,12,2018,0
+Detroit,7,2017,0
+Deuce Bigalow: European Gigolo,8,2005,0
+Deuces Wild,5,2002,0
+Devil,9,2010,0
+Devil's Due,1,2014,0
+Diary of a Mad Black Woman,2,2005,0
+Diary of a Wimpy Kid,3,2010,0
+Diary of a Wimpy Kid: Dog Days,8,2012,0
+Diary of a Wimpy Kid: Rodrick Rules,3,2011,0
+Diary of a Wimpy Kid: The Long Haul,5,2017,0
+Dickie Roberts: Former Child Star,9,2003,0
+Did You Hear About the Morgans?,12,2009,0
+Die Another Day,11,2002,1
+Digimon: The Movie,10,2000,0
+Dinner for Schmucks,7,2010,0
+Dinosaur,5,2000,0
+Dirty,1,2006,0
+Dirty Dancing: Havana Nights,2,2004,0
+Dirty Grandpa,1,2016,0
+Disaster Movie,8,2008,0
+District 9,8,2009,0
+Disturbia,4,2007,0
+Divergent,3,2014,0
+Divine Secrets of the Ya-Ya Sisterhood,6,2002,0
+Django Unchained,12,2012,0
+Do You Believe?,3,2015,0
+Doctor Sleep,10,2019,1
+Doctor Strange,11,2016,0
+Dodgeball: A True Underdog Story,6,2004,0
+Dog Days,8,2018,0
+Dolphin Tale,9,2011,0
+Dolphin Tale 2,9,2014,1
+Domestic Disturbance,11,2001,0
+Domino,10,2005,0
+Don Jon,9,2013,0
+Don't Be Afraid of the Dark,8,2011,0
+Don't Breathe,8,2016,0
+Don't Let Go,8,2019,0
+Don't Say a Word,9,2001,0
+Doogal,2,2006,0
+Doom,10,2005,0
+Doomsday,3,2008,0
+Dope,6,2015,0
+Dora and the Lost City of Gold,8,2019,0
+Double Take,1,2001,0
+Doubt,12,2008,0
+Down to Earth,2,2001,0
+Downsizing,12,2017,0
+Downton Abbey,9,2019,0
+Dr. Dolittle 2,6,2001,0
+Dracula 2000,12,2000,0
+Dracula Untold,10,2014,0
+Draft Day,4,2014,0
+Drag Me to Hell,5,2009,0
+Dragon Wars: D-War,9,2007,0
+Dragonball Evolution,4,2009,0
+Dragonfly,2,2002,0
+Dream House,9,2011,0
+Dreamcatcher,3,2003,0
+Dreamer,10,2005,0
+Dreamgirls,12,2006,0
+Dredd,9,2012,0
+Drillbit Taylor,3,2008,0
+Drive,9,2011,0
+Drive Angry,2,2011,0
+Driven,4,2001,0
+Drowning Mona,3,2000,0
+Drumline,12,2002,0
+Dude Where's My Car?,12,2000,0
+"Dude, Where's My Car?",12,2000,0
+Due Date,11,2010,0
+Duets,9,2000,0
+Dum Maaro Dum,4,2011,0
+Dumb Money,9,2023,0
+Dumb and Dumber To,11,2014,1
+Dumb and Dumberer: When Harry Met Lloyd,6,2003,0
+Dumbo,3,2019,0
+Dune: Part Two,2,2024,1
+Dungeons & Dragons,12,2000,0
+Dungeons & Dragons: Honor Among Thieves,3,2023,0
+Dunkirk,12,2017,0
+Duplex,9,2003,0
+Duplicity,3,2009,0
+Dylan Dog: Dead of Night,4,2011,0
+Eagle Eye,9,2008,0
+Early Man,2,2018,0
+Earth to Echo,7,2014,0
+Eastern Promises,9,2007,0
+Easy A,9,2010,0
+Eat Pray Love,8,2010,0
+Eddie the Eagle,2,2016,0
+Edge of Darkness,1,2010,0
+Edge of Tomorrow,6,2014,0
+Eight Below,2,2006,0
+Eight Legged Freaks,7,2002,0
+Eighth Grade,7,2018,0
+Elektra,1,2005,0
+Elemental,6,2023,0
+Elephant,10,2003,0
+Elf,11,2003,0
+Elizabeth: The Golden Age,10,2007,0
+Elizabethtown,10,2005,0
+Ella Enchanted,4,2004,0
+Elle,11,2016,0
+Elysium,8,2013,0
+Empire,12,2002,0
+Employee of the Month,10,2006,0
+Enchanted,11,2007,0
+End of Watch,9,2012,0
+End of the Spear,1,2006,0
+Ender's Game,11,2013,0
+Endless Love,2,2014,0
+Enemy at the Gates,3,2001,0
+Enough,5,2002,0
+Enough Said,9,2013,0
+Entourage,6,2015,0
+Envy,4,2004,0
+Epic,5,2013,0
+Epic Movie,1,2007,0
+Eragon,12,2006,0
+Erin Brockovich,3,2000,0
+Escape Plan,10,2013,0
+Escape Room,1,2019,0
+Eternal Sunshine of the Spotless Mind,3,2004,0
+EuroTrip,2,2004,0
+Evan Almighty,6,2007,0
+Evening,6,2007,0
+Everest,9,2015,0
+Everybody's Fine,12,2009,0
+Everything Everything,5,2017,0
+"Everything, Everything",5,2017,0
+Evil Dead,4,2013,1
+Evolution,6,2001,0
+Exit Wounds,3,2001,0
+Exodus: Gods and Kings,12,2014,0
+Exorcist: The Beginning,8,2004,0
+Extract,9,2009,0
+Extraordinary Measures,1,2010,0
+Extreme Ops,11,2002,0
+Facing the Giants,9,2006,0
+Fahrenheit 11/9,9,2018,0
+Fahrenheit 9/11,6,2004,0
+Failure to Launch,3,2006,0
+Fair Game,11,2010,0
+Fame,9,2009,0
+Fantastic Beasts and Where to Find Them,11,2016,0
+Fantastic Beasts: The Crimes of Grindelwald,11,2018,1
+Fantastic Four,8,2015,0
+Fantastic Four: Rise of the Silver Surfer,6,2007,1
+Fantastic Mr. Fox,11,2009,0
+Far from Heaven,11,2002,0
+Far from the Madding Crowd,5,2015,0
+Fast & Furious,4,2009,0
+Fast & Furious 6,5,2013,0
+Fast & Furious Presents: Hobbs & Shaw,8,2019,0
+Fast Five,4,2011,0
+Fast X,5,2023,1
+Faster,11,2010,0
+Fat Albert,12,2004,0
+Fat Kid Rules the World,10,2012,0
+Father Figures,12,2017,0
+Feardotcom,8,2002,0
+Fences,12,2016,0
+Ferdinand,12,2017,0
+Ferrari,12,2023,0
+Fever Pitch,4,2005,0
+Fifty Shades Darker,2,2017,1
+Fifty Shades Freed,2,2018,1
+Fifty Shades of Black,1,2016,0
+Fifty Shades of Grey,2,2015,0
+Fighting,4,2009,0
+Fighting with My Family,2,2019,0
+Final Destination,3,2000,0
+Final Destination 2,1,2003,0
+Final Destination 3,2,2006,0
+Final Destination 5,8,2011,0
+Final Fantasy: The Spirits Within,7,2001,0
+Find Me Guilty,3,2006,0
+Finding Dory,6,2016,1
+Finding Forrester,12,2000,0
+Finding Neverland,11,2004,0
+Finding Your Feet,3,2018,0
+Fired Up!,2,2009,0
+Fireproof,9,2008,0
+Firewall,2,2006,0
+First Daughter,9,2004,0
+First Man,10,2018,0
+Fist Fight,2,2017,0
+Five Feet Apart,3,2019,0
+Flags of Our Fathers,10,2006,0
+Flatliners,9,2017,0
+Flicka,10,2006,0
+Flight,11,2012,0
+Flight of the Phoenix,12,2004,0
+Flightplan,9,2005,0
+Flipped,8,2010,0
+Florence Foster Jenkins,8,2016,0
+Flushed Away,11,2006,0
+Flyboys,9,2006,0
+Focus,10,2001,0
+Fool's Gold,2,2008,0
+Footloose,10,2011,0
+For Colored Girls,11,2010,0
+For Greater Glory: The True Story of Cristiada,4,2012,0
+For Your Consideration,11,2006,0
+Forever My Girl,1,2018,0
+Forgetting Sarah Marshall,4,2008,0
+Forty Shades of Blue,9,2005,0
+Four Brothers,8,2005,0
+Four Christmases,11,2008,0
+Four Lions,11,2010,0
+Foxcatcher,11,2014,0
+Frailty,4,2002,0
+Frankenweenie,10,2012,0
+Freakonomics,10,2010,0
+Freaky Friday,8,2003,0
+Freddy Got Fingered,4,2001,0
+Freddy vs. Jason,8,2003,0
+Free Birds,11,2013,0
+Free State of Jones,6,2016,0
+Freedom Writers,1,2007,0
+Frequency,4,2000,0
+Frida,10,2002,0
+Friday After Next,11,2002,0
+Friday Night Lights,10,2004,0
+Friday the 13th,2,2009,0
+Friends with Benefits,7,2011,0
+Friends with Money,4,2006,0
+Fright Night,8,2011,0
+From Hell,10,2001,0
+From Justin to Kelly,6,2003,0
+From Paris with Love,2,2010,0
+Frost/Nixon,12,2008,0
+Frozen,2,2010,0
+Frozen II,11,2019,1
+Frozen River,8,2008,0
+Fruitvale Station,7,2013,0
+Full Frontal,8,2002,0
+Fun Size,10,2012,0
+Fun with Dick and Jane,12,2005,0
+Funny People,7,2009,0
+Furious 7,4,2015,0
+Furry Vengeance,4,2010,0
+Fury,10,2014,0
+G-Force,7,2009,0
+G.I. Joe: Retaliation,3,2013,0
+G.I. Joe: The Rise of Cobra,8,2009,0
+Game Night,2,2018,0
+Gamer,9,2009,0
+Gangs of New York,12,2002,0
+Gangster Squad,1,2013,0
+Garden State,7,2004,0
+Garfield: A Tail of Two Kitties,6,2006,0
+Garfield: The Movie,6,2004,0
+Gemini Man,10,2019,0
+Genius,6,2016,0
+Gentlemen Broncos,10,2009,0
+Georgia Rule,5,2007,0
+Geostorm,10,2017,0
+Get Carter,10,2000,0
+Get Hard,3,2015,0
+Get Him to the Greek,6,2010,0
+Get Low,7,2010,0
+Get Out,2,2017,0
+Get Over It,3,2001,0
+Get Rich or Die Tryin',11,2005,0
+Get Smart,6,2008,0
+Get on Up,8,2014,0
+Getaway,8,2013,0
+Ghost Rider,2,2007,0
+Ghost Ship,10,2002,0
+Ghost Town,9,2008,0
+Ghost World,7,2001,0
+Ghost in the Shell,3,2017,0
+Ghostbusters: Frozen Empire,3,2024,1
+Ghosts of Mars,8,2001,0
+Gifted,4,2017,0
+Gigli,8,2003,0
+Girl with a Pearl Earring,12,2003,0
+Girls Trip,7,2017,0
+Gladiator,5,2000,0
+Glass,1,2019,1
+Glee: The 3D Concert Movie,8,2011,0
+Glitter,9,2001,0
+Glory Road,1,2006,0
+God's Not Dead,3,2014,0
+Gods and Generals,2,2003,0
+Gods of Egypt,2,2016,0
+Godsend,4,2004,0
+Godzilla,4,2014,0
+Godzilla Minus One,11,2023,0
+Godzilla x Kong: The New Empire,3,2024,1
+Godzilla: King of the Monsters,5,2019,0
+Going in Style,4,2017,0
+Going the Distance,9,2010,0
+Gone,2,2012,0
+Gone Baby Gone,10,2007,0
+Gone Girl,10,2014,0
+Gone in 60 Seconds,6,2000,0
+Good Boy,10,2003,0
+Good Boys,8,2019,0
+Good Luck Chuck,9,2007,0
+Good Night and Good Luck.,10,2005,0
+Goosebumps,10,2015,0
+Goosebumps 2: Haunted Halloween,10,2018,1
+Gosford Park,12,2001,0
+Gossip,4,2000,0
+Gothika,11,2003,0
+Gotti,6,2018,0
+Gracie,6,2007,0
+Gran Torino,12,2008,0
+Grandma,8,2015,0
+Gravity,10,2013,0
+Green Book,11,2018,0
+Green Lantern,6,2011,0
+Green Zone,3,2010,0
+Gridiron Gang,9,2006,0
+Grind,8,2003,0
+Grindhouse,4,2007,0
+Grown Ups,6,2010,0
+Grown Ups 2,7,2013,0
+Grudge Match,12,2013,0
+Guardians of the Galaxy,8,2014,0
+Guardians of the Galaxy Vol. 2,5,2017,1
+Guess Who,3,2005,0
+Gulliver's Travels,12,2010,0
+Hacksaw Ridge,11,2016,0
+Hail Caesar!,2,2016,0
+"Hail, Caesar!",2,2016,0
+Hairspray,7,2007,0
+Half Nelson,8,2006,0
+Half Past Dead,11,2002,0
+Hall Pass,2,2011,0
+Halloween,8,2007,0
+Halloween 2,8,2009,0
+Halloween II,8,2009,0
+Halloween: Resurrection,7,2002,1
+Hamlet 2,8,2008,0
+Hancock,7,2008,0
+Hands of Stone,8,2016,0
+Hanging Up,2,2000,0
+Hangman's Curse,9,2003,0
+Hanna,4,2011,0
+Hannah Montana: The Movie,4,2009,0
+Hannibal,2,2001,0
+Hannibal Rising,2,2007,0
+Hansel & Gretel: Witch Hunters,1,2013,0
+Happily N'Ever After,1,2007,0
+Happy Death Day,10,2017,0
+Happy Death Day 2U,2,2019,1
+Happy Feet,11,2006,0
+Happy Feet Two,11,2011,0
+Hardball,9,2001,0
+Harold & Kumar Escape from Guantanamo Bay,4,2008,0
+Harold & Kumar Go to White Castle,7,2004,0
+Harriet,11,2019,0
+Harry Brown,4,2010,0
+Harry Potter and the Chamber of Secrets,11,2002,0
+Harry Potter and the Goblet of Fire,11,2005,0
+Harry Potter and the Half-Blood Prince,7,2009,0
+Harry Potter and the Order of the Phoenix,7,2007,0
+Harry Potter and the Prisoner of Azkaban,6,2004,0
+Harry Potter and the Sorcerer's Stone,11,2001,0
+Hart's War,2,2002,0
+Haunted Mansion,7,2023,0
+He's Just Not That Into You,2,2009,0
+Head Over Heels,2,2001,0
+Head of State,3,2003,0
+Heartbreakers,3,2001,0
+Hearts in Atlantis,9,2001,0
+Heaven Is for Real,4,2014,0
+Heist,11,2001,0
+Hell Fest,9,2018,0
+Hell or High Water,8,2016,0
+Hellboy,4,2004,0
+Hellboy II: The Golden Army,7,2008,0
+Her,12,2013,0
+Hercules,7,2014,0
+Here Comes the Boom,10,2012,0
+Here on Earth,3,2000,0
+Hereafter,10,2010,0
+Hereditary,6,2018,0
+Hey Arnold! The Movie,6,2002,0
+Hidalgo,3,2004,0
+Hidden Figures,12,2016,0
+High Crimes,4,2002,0
+High Fidelity,3,2000,0
+High Heels and Low Lifes,10,2001,0
+High School Musical 3: Senior Year,10,2008,0
+Higher Ground,8,2011,0
+Highlander: Endgame,9,2000,0
+His Only Son,3,2023,0
+Hit and Run,8,2012,0
+Hitch,2,2005,0
+Hitman,11,2007,0
+Hitman: Agent 47,8,2015,0
+Holes,4,2003,0
+Hollow Man,8,2000,0
+Hollywood Ending,5,2002,0
+Hollywood Homicide,6,2003,0
+Holmes & Watson,12,2018,0
+Home,3,2015,0
+Home Again,9,2017,0
+Home on the Range,4,2004,0
+Homefront,11,2013,0
+Honey,12,2003,0
+Hoot,5,2006,0
+Hop,4,2011,0
+Hope Springs,8,2012,0
+Horrible Bosses,7,2011,0
+Horrible Bosses 2,11,2014,1
+Hostage,3,2005,0
+Hostel: Part II,6,2007,0
+Hostiles,12,2017,0
+Hot Fuzz,4,2007,0
+Hot Pursuit,5,2015,0
+Hot Rod,8,2007,0
+Hot Tub Time Machine,3,2010,0
+Hot Tub Time Machine 2,2,2015,1
+Hotel Artemis,6,2018,0
+Hotel Rwanda,12,2004,0
+Hotel Transylvania,9,2012,0
+Hotel Transylvania 2,9,2015,0
+Hotel Transylvania 3: Summer Vacation,7,2018,0
+Hotel for Dogs,1,2009,0
+House at the End of the Street,9,2012,0
+House of 1000 Corpses,4,2003,0
+House of Flying Daggers,12,2004,0
+House of Sand and Fog,12,2003,0
+House of Wax,5,2005,0
+House of the Dead,10,2003,0
+How Do You Know,12,2010,0
+How High,12,2001,0
+How the Grinch Stole Christmas,11,2000,0
+How to Be Single,2,2016,0
+How to Be a Latin Lover,4,2017,0
+How to Deal,7,2003,0
+How to Lose Friends & Alienate People,10,2008,0
+How to Lose a Guy in 10 Days,2,2003,0
+How to Train Your Dragon,3,2010,0
+How to Train Your Dragon 2,6,2014,1
+How to Train Your Dragon: The Hidden World,2,2019,1
+Huevos: Little Rooster's Egg-cellent Adventure,9,2015,0
+Hugo,11,2011,0
+Hulk,6,2003,0
+Hunt for the Wilderpeople,6,2016,0
+Hunter Killer,10,2018,0
+Hustle & Flow,7,2005,0
+Hustlers,9,2019,0
+I Am Legend,12,2007,0
+I Am Not Your Negro,2,2017,0
+I Am Number Four,2,2011,0
+I Am Sam,12,2001,0
+I Can Only Imagine,3,2018,0
+I Capture the Castle,7,2003,0
+I Don't Know How She Does It,9,2011,0
+I Dreamed of Africa,5,2000,0
+I Feel Pretty,4,2018,0
+I Frankenstein,1,2014,0
+I Heart Huckabees,10,2004,0
+I Love You Beth Cooper,7,2009,0
+I Love You Phillip Morris,12,2010,0
+"I Love You, Beth Cooper",7,2009,0
+"I Love You, Man",3,2009,0
+I Now Pronounce You Chuck & Larry,7,2007,0
+I Robot,7,2004,0
+I Spit on Your Grave,10,2010,0
+I Spy,11,2002,0
+I Think I Love My Wife,3,2007,0
+"I, Frankenstein",6,2014,0
+"I, Robot",7,2004,0
+Ice Age,3,2002,0
+Ice Age: Collision Course,7,2016,1
+Ice Age: Continental Drift,7,2012,1
+Ice Age: Dawn of the Dinosaurs,7,2009,1
+Ice Age: The Meltdown,3,2006,0
+Ice Princess,3,2005,0
+Identity,4,2003,0
+Identity Thief,2,2013,0
+Idlewild,8,2006,0
+If Beale Street Could Talk,12,2018,0
+If I Stay,8,2014,0
+Igby Goes Down,9,2002,0
+Igor,9,2008,0
+Imaginary,3,2024,0
+Imagine That,6,2009,0
+Immortals,11,2011,0
+In Bruges,2,2008,0
+In Good Company,12,2004,0
+In Time,10,2011,0
+In the Bedroom,11,2001,0
+In the Cut,10,2003,0
+In the Heart of the Sea,12,2015,0
+In the Land of Women,4,2007,0
+In the Name of the King: A Dungeon Siege Tale,1,2008,0
+In the Valley of Elah,9,2007,0
+Inception,7,2010,0
+Incredibles 2,6,2018,1
+Independence Day: Resurgence,6,2016,0
+Indiana Jones and the Dial of Destiny,6,2023,1
+Indiana Jones and the Kingdom of the Crystal Skull,5,2008,0
+Inferno,10,2016,1
+Inglourious Basterds,8,2009,0
+Inherent Vice,12,2014,0
+Inside Deep Throat,2,2005,0
+Inside Job,10,2010,0
+Inside Llewyn Davis,12,2013,0
+Inside Man,3,2006,0
+Inside Out,6,2015,0
+Insidious: Chapter 2,9,2013,0
+Insidious: Chapter 3,6,2015,1
+Insidious: The Last Key,1,2018,0
+Insidious: The Red Door,7,2023,1
+Insomnia,5,2002,0
+Instant Family,11,2018,0
+Interstellar,11,2014,0
+Into the Blue,9,2005,0
+Into the Storm,8,2014,0
+Into the Wild,9,2007,0
+Into the Woods,12,2014,0
+Intolerable Cruelty,10,2003,0
+Invictus,12,2009,0
+Invincible,8,2006,0
+Iris,12,2001,0
+Iron Man,5,2008,0
+Iron Man 2,5,2010,0
+Iron Man 3,5,2013,0
+Isn't It Romantic,2,2019,0
+It,9,2017,0
+It Chapter Two,9,2019,1
+It Comes at Night,6,2017,0
+It's Complicated,12,2009,0
+It's Kind of a Funny Story,10,2010,0
+J. Edgar,11,2011,0
+Jack Reacher,12,2012,0
+Jack Reacher: Never Go Back,10,2016,1
+Jack Ryan: Shadow Recruit,1,2014,0
+Jack and Jill,11,2011,0
+Jack the Giant Slayer,3,2013,0
+Jackass 3D,10,2010,0
+Jackass Number Two,9,2006,0
+Jackass Presents: Bad Grandpa,10,2013,0
+Jackass: The Movie,10,2002,0
+Jackie,12,2016,0
+Jarhead,11,2005,0
+Jason Bourne,7,2016,0
+Jason X,4,2002,0
+Jay and Silent Bob Strike Back,8,2001,0
+Jeepers Creepers,8,2001,0
+Jeepers Creepers 2,8,2003,0
+Jem and the Holograms,10,2015,0
+Jennifer's Body,9,2009,0
+Jersey Boys,6,2014,0
+Jersey Girl,3,2004,0
+Jesus Revolution,2,2023,0
+Jexi,10,2019,0
+Jigsaw,10,2017,1
+Jimmy Neutron: Boy Genius,12,2001,0
+Jobs,8,2013,0
+Joe Dirt,4,2001,0
+Joe Somebody,12,2001,0
+John Carter,3,2012,0
+John Q,2,2002,0
+John Tucker Must Die,7,2006,0
+John Wick,10,2014,0
+John Wick: Chapter 3 - Parabellum,5,2019,1
+John Wick: Chapter 4,3,2023,1
+Johnny English,7,2003,0
+Johnny English Reborn,10,2011,1
+Johnny English Strikes Again,10,2018,1
+Johnson Family Vacation,4,2004,0
+Jojo Rabbit,10,2019,0
+Joker,8,2012,0
+Jonah Hex,6,2010,0
+Jonah: A VeggieTales Movie,10,2002,0
+Josie and the Pussycats,4,2001,0
+Journey 2: The Mysterious Island,2,2012,0
+Journey to Bethlehem,11,2023,0
+Journey to the Center of the Earth,7,2008,0
+Joy,12,2015,0
+Joy Ride,7,2023,0
+Joyful Noise,1,2012,0
+Judy Moody and the Not Bummer Summer,6,2011,0
+Julie & Julia,8,2009,0
+"Juliet, Naked",8,2018,0
+Jumanji: The Next Level,12,2019,0
+Jumanji: Welcome to the Jungle,12,2017,1
+Jumper,2,2008,0
+Jumping the Broom,5,2011,0
+Juno,12,2007,0
+Jupiter Ascending,2,2015,0
+Jurassic Park III,7,2001,0
+Jurassic World,6,2015,1
+Jurassic World: Fallen Kingdom,6,2018,1
+Just Getting Started,12,2017,0
+Just Go with It,2,2011,0
+Just Like Heaven,9,2005,0
+Just Married,1,2003,0
+Just My Luck,5,2006,0
+Just Visiting,4,2001,0
+Just Wright,5,2010,0
+Justice League,11,2017,0
+Justin Bieber's Believe,12,2013,0
+Justin Bieber: Never Say Never,2,2011,0
+Juwanna Mann,6,2002,0
+K-19: The Widowmaker,7,2002,0
+K-PAX,10,2001,0
+Kangaroo Jack,1,2003,0
+Keanu,4,2016,0
+Keeping Up with the Joneses,10,2016,0
+Keeping the Faith,4,2000,0
+Kevin Hart: Laugh at My Pain,9,2011,0
+Kevin Hart: Let Me Explain,7,2013,0
+Kevin Hart: What Now?,10,2016,0
+Kick-Ass,4,2010,0
+Kick-Ass 2,8,2013,0
+Kicking & Screaming,5,2005,0
+Kidnap,8,2017,0
+Kill Bill: Vol. 1,10,2003,0
+Kill Bill: Vol. 2,4,2004,0
+Kill the Messenger,10,2014,0
+Killer Elite,9,2011,0
+Killers,6,2010,0
+Killers of the Flower Moon,10,2023,0
+Killing Them Softly,11,2012,0
+Kin,8,2018,0
+King Arthur,7,2004,0
+King Arthur: Legend of the Sword,5,2017,0
+King Kong,12,2005,0
+Kingdom Come,4,2001,0
+Kingdom of Heaven,5,2005,0
+Kingsman: The Golden Circle,9,2017,1
+Kinsey,11,2004,0
+Kiss Kiss Bang Bang,10,2005,0
+Kiss of the Dragon,7,2001,0
+Kissing Jessica Stein,3,2002,0
+Kit Kittredge: An American Girl,6,2008,0
+Knight and Day,6,2010,0
+Knights of the Zodiac,5,2023,0
+Knives Out,11,2019,0
+Knock Knock,10,2015,0
+Knock at the Cabin,2,2023,0
+Knocked Up,6,2007,0
+Knowing,3,2009,0
+Kong: Skull Island,3,2017,0
+Krampus,12,2015,0
+Kubo and the Two Strings,8,2016,0
+Kung Fu Panda,6,2008,0
+Kung Fu Panda 2,5,2011,0
+Kung Fu Panda 3,1,2016,1
+Kung Fu Panda 4,3,2024,1
+Kung Pow: Enter the Fist,1,2002,0
+LOL,5,2012,0
+La La Land,12,2016,0
+La Vie En Rose,6,2007,0
+Labor Day,1,2014,0
+Ladder 49,10,2004,0
+Lady Bird,11,2017,0
+Lady Macbeth,7,2017,0
+Lady in the Water,7,2006,0
+Lakeview Terrace,9,2008,0
+Land of the Dead,6,2005,0
+Land of the Lost,6,2009,0
+Lara Croft: Tomb Raider,6,2001,0
+Lara Croft: Tomb Raider - The Cradle of Life,7,2003,0
+Larry Crowne,7,2011,0
+Larry the Cable Guy: Health Inspector,3,2006,0
+Lars and the Real Girl,10,2007,0
+Last Christmas,11,2019,0
+Last Holiday,1,2006,0
+Last Vegas,11,2013,0
+Late Night,6,2019,0
+Law Abiding Citizen,10,2009,0
+Lawless,8,2012,0
+Laws of Attraction,4,2004,0
+Leap Year,1,2010,0
+Leatherheads,4,2008,0
+Leaves of Grass,9,2010,0
+Left Behind,10,2014,0
+Legally Blonde,7,2001,0
+Legally Blonde 2: Red White & Blonde,7,2003,0
+"Legally Blonde 2: Red, White & Blonde",8,2003,1
+Legend,9,2015,0
+Legend of the Guardians: The Owls of Ga'Hoole,9,2010,0
+Legends of Oz: Dorothy's Return,5,2014,0
+Legion,1,2010,0
+Les Misérables,12,2012,0
+Les Mis�rables,12,2012,0
+Let Me In,10,2010,0
+Let There Be Light,10,2017,0
+Let's Be Cops,8,2014,0
+Letters from Iwo Jima,12,2006,0
+Letters to God,4,2010,0
+Letters to Juliet,5,2010,0
+License to Wed,7,2007,0
+Life,3,2017,0
+Life Itself,7,2014,0
+Life as We Know It,10,2010,0
+Life as a House,10,2001,0
+Life of Pi,11,2012,0
+Life of the Party,5,2018,0
+Life or Something Like It,4,2002,0
+Lights Out,7,2016,0
+Like Mike,7,2002,0
+Lilo & Stitch,6,2002,0
+Limitless,3,2011,0
+Lincoln,11,2012,0
+Lion,11,2016,0
+Lions for Lambs,11,2007,0
+Little,4,2019,0
+Little Black Book,8,2004,0
+Little Boy,4,2015,0
+Little Children,10,2006,0
+Little Fockers,12,2010,0
+Little Man,7,2006,0
+Little Miss Sunshine,7,2006,0
+Little Nicky,11,2000,0
+Little Women,9,2018,0
+Live Free or Die Hard,6,2007,1
+Live by Night,12,2016,0
+Lockout,4,2012,0
+Logan,3,2017,1
+Logan Lucky,8,2017,0
+London Has Fallen,3,2016,0
+Lone Survivor,12,2013,0
+Long Shot,5,2019,0
+Looney Tunes: Back in Action,11,2003,0
+Looper,9,2012,0
+Lord of War,9,2005,0
+Lords of Dogtown,6,2005,0
+Lost Souls,10,2000,0
+Lost in Translation,9,2003,0
+Lottery Ticket,8,2010,0
+Love & Basketball,4,2000,0
+Love & Friendship,5,2016,0
+Love & Other Drugs,11,2010,0
+Love Actually,11,2003,0
+Love Happens,9,2009,0
+Love Ranch,6,2010,0
+Love Simon,3,2018,0
+Love in the Time of Cholera,11,2007,0
+Love the Coopers,11,2015,0
+Love's Abiding Joy,10,2006,0
+"Love, Simon",3,2018,0
+Loving,11,2016,0
+Loving Vincent,9,2017,0
+Lucky Number Slevin,4,2006,0
+Lucky Numbers,10,2000,0
+Lucky You,5,2007,0
+Lucy,7,2014,0
+Lust Caution,9,2007,0
+Luther,9,2003,0
+Ma,5,2019,0
+MacGruber,5,2010,0
+Machete,9,2010,0
+Machete Kills,10,2013,0
+Machine Gun Preacher,9,2011,0
+Mad Hot Ballroom,5,2005,0
+Mad Money,1,2008,0
+Madagascar,5,2005,0
+Madagascar 3: Europe's Most Wanted,6,2012,0
+Madagascar: Escape 2 Africa,11,2008,1
+Madame Web,2,2024,0
+Made,7,2001,0
+Made in Dagenham,11,2010,0
+Made of Honor,5,2008,0
+Madea's Family Reunion,2,2006,0
+Madea's Witness Protection,6,2012,0
+Magic Mike,6,2012,0
+Magic Mike XXL,7,2015,0
+Maid in Manhattan,12,2002,0
+Maleficent,5,2014,0
+Maleficent: Mistress of Evil,10,2019,1
+Malevolence,9,2004,0
+Malibu's Most Wanted,4,2003,0
+Mama,1,2013,0
+Mambo Italiano,9,2003,0
+Mamma Mia!,7,2008,0
+Mamma Mia! Here We Go Again,7,2018,1
+Man of Steel,6,2013,0
+Man of the House,2,2005,0
+Man of the Year,10,2006,0
+Man on Fire,4,2004,0
+Man on Wire,7,2008,0
+Man on a Ledge,1,2012,0
+Manchester by the Sea,11,2016,0
+Mandela: Long Walk to Freedom,11,2013,0
+Marci X,8,2003,0
+Margaret,9,2011,0
+Margin Call,10,2011,0
+Maria Full of Grace,7,2004,0
+Marie Antoinette,10,2006,0
+Marley & Me,12,2008,0
+Marmaduke,6,2010,0
+Married Life,3,2008,0
+Mars Needs Moms,3,2011,0
+Marshall,10,2017,0
+Martha Marcy May Marlene,10,2011,0
+Martian Child,11,2007,0
+Martin Lawrence Live: Runteldat,8,2002,0
+Mary Poppins Returns,12,2018,1
+Mary Queen of Scots,12,2018,0
+Master and Commander: The Far Side of the World,11,2003,0
+Masterminds,9,2016,0
+Match Point,12,2005,0
+Max,12,2002,0
+Max Keeble's Big Move,10,2001,0
+Max Payne,10,2008,0
+Maze Runner: The Death Cure,1,2018,1
+Maze Runner: The Scorch Trials,9,2015,0
+"McFarland, USA",2,2015,0
+Me Before You,6,2016,0
+Me and Earl and the Dying Girl,6,2015,0
+Me and You and Everyone We Know,6,2005,0
+"Me, Myself & Irene",6,2000,0
+Mean Girls,4,2004,0
+Mechanic: Resurrection,8,2016,1
+Meet Dave,7,2008,0
+Meet the Blacks,4,2016,0
+Meet the Browns,3,2008,0
+Meet the Fockers,12,2004,0
+Meet the Mormons,10,2014,0
+Meet the Parents,10,2000,0
+Meet the Spartans,1,2008,0
+Meg 2: The Trench,8,2023,1
+Megamind,11,2010,0
+Megiddo: The Omega Code 2,9,2001,0
+Melancholia,11,2011,0
+Memoirs of a Geisha,12,2005,0
+Men in Black II,7,2002,0
+Men in Black: International,6,2019,1
+Men in Black�,5,2012,0
+Men of Honor,11,2000,0
+Metallica Through the Never,9,2013,0
+Miami Vice,7,2006,0
+Michael Clayton,10,2007,0
+Mid90s,10,2018,0
+Middle School: The Worst Years of My Life,10,2016,0
+Middle of Nowhere,10,2012,0
+Midnight Special,3,2016,0
+Midnight Sun,3,2018,0
+Midnight in Paris,5,2011,0
+Midsommar,7,2019,0
+Midway,11,2019,0
+Mike and Dave Need Wedding Dates,7,2016,0
+Mile 22,8,2018,0
+Milk,11,2008,0
+Million Dollar Arm,5,2014,0
+Million Dollar Baby,12,2004,0
+Minions,7,2015,0
+Minority Report,6,2002,0
+Miracle,2,2004,0
+Miracle at St. Anna,9,2008,0
+Miracles from Heaven,3,2016,0
+Mirror Mirror,3,2012,0
+Mirrormask,9,2005,0
+Mirrors,8,2008,0
+Miss Bala,2,2019,0
+Miss Congeniality,12,2000,0
+Miss Peregrine's Home for Peculiar Children,9,2016,0
+Miss Potter,12,2006,0
+Mission to Mars,3,2000,0
+Mission: Impossible - Dead Reckoning Part One,7,2023,1
+Mission: Impossible - Fallout,7,2018,1
+Mission: Impossible - Ghost Protocol,12,2011,1
+Mission: Impossible - Rogue Nation,7,2015,1
+Mission: Impossible III,5,2006,0
+Mommy,9,2014,0
+Moms' Night Out,5,2014,0
+Mona Lisa Smile,12,2003,0
+Money Monster,5,2016,0
+Moneyball,9,2011,0
+Monkeybone,2,2001,0
+Monsoon Wedding,2,2002,0
+Monster,12,2003,0
+Monster House,7,2006,0
+Monster's Ball,12,2001,0
+Monster-in-Law,5,2005,0
+Monsters,10,2010,0
+Monsters Inc.,11,2001,0
+Monsters University,6,2013,0
+Monsters vs. Aliens,3,2009,0
+"Monsters, Inc.",12,2001,0
+Monte Carlo,7,2011,0
+Moon,6,2009,0
+Moonlight,10,2016,0
+Moonlight Mile,9,2002,0
+Moonrise Kingdom,5,2012,0
+Morgan,9,2016,0
+Morning Glory,11,2010,0
+Mortal Engines,12,2018,0
+Mortdecai,1,2015,0
+Mother!,9,2017,0
+Mother's Day,4,2016,0
+Motherless Brooklyn,11,2019,0
+Moulin Rouge!,5,2001,0
+Movie 43,1,2013,0
+Mr. & Mrs. Smith,6,2005,0
+Mr. 3000,9,2004,0
+Mr. Brooks,6,2007,0
+Mr. Deeds,6,2002,0
+Mr. Peabody & Sherman,3,2014,0
+Mr. Popper's Penguins,6,2011,0
+Mr. Turner,12,2014,0
+Mrs. Henderson Presents,12,2005,0
+Mud,4,2013,0
+Mulholland Drive,10,2001,0
+Munich,12,2005,0
+Muppets Most Wanted,3,2014,0
+Murder by Numbers,4,2002,0
+Murder on the Orient Express,11,2017,0
+Music and Lyrics,2,2007,0
+Must Love Dogs,7,2005,0
+Mustang,11,2015,0
+My Baby's Daddy,1,2004,0
+My Best Friend's Girl,9,2008,0
+My Big Fat Greek Wedding,4,2002,0
+My Big Fat Greek Wedding 2,3,2016,1
+My Bloody Valentine,1,2009,0
+My Boss's Daughter,8,2003,0
+My Dog Skip,1,2000,0
+My Fair Lady,2,2019,0
+My First Mister,10,2001,0
+My Life Without Me,9,2003,0
+My Life in Ruins,6,2009,0
+My Little Pony: The Movie,10,2017,0
+My Old Lady,9,2014,0
+My Sister's Keeper,6,2009,0
+My Soul to Take,10,2010,0
+My Super Ex-Girlfriend,7,2006,0
+My Week with Marilyn,11,2011,0
+Mystic River,10,2003,0
+N-Secure,10,2010,0
+Nacho Libre,6,2006,0
+Nancy Drew,6,2007,0
+Nanny McPhee Returns,8,2010,0
+Napoleon,11,2023,0
+Napoleon Dynamite,6,2004,0
+Narc,12,2002,0
+National Lampoon's Van Wilder,4,2002,0
+National Treasure,11,2004,0
+Nebraska,11,2013,0
+Need for Speed,3,2014,0
+Neighbors,5,2014,0
+Neighbors 2: Sorority Rising,5,2016,1
+Nerve,7,2016,0
+Never Back Down,3,2008,0
+Never Let Me Go,9,2010,0
+New Year's Eve,12,2011,0
+New York Minute,5,2004,0
+New in Town,1,2009,0
+Next,4,2007,0
+Next Day Air,5,2009,0
+Next Goal Wins,11,2023,0
+Nick and Norah's Infinite Playlist,10,2008,0
+Night School,9,2018,0
+Night at the Museum,12,2006,0
+Night at the Museum: Battle of the Smithsonian,5,2009,0
+Night at the Museum: Secret of the Tomb,12,2014,0
+Nightcrawler,10,2014,0
+Nim's Island,4,2008,0
+Nine,12,2009,0
+Nine Lives,10,2005,0
+Ninja Assassin,11,2009,0
+No Country for Old Men,11,2007,0
+No Escape,8,2015,0
+No Good Deed,9,2014,0
+No Hard Feelings,6,2023,0
+No Reservations,7,2007,0
+No Strings Attached,1,2011,0
+Nocturnal Animals,11,2016,0
+Non-Stop,2,2014,0
+Norbit,2,2007,0
+Norm of the North,1,2016,0
+North Country,10,2005,0
+Not Another Teen Movie,12,2001,0
+Not Easily Broken,1,2009,0
+Not Fade Away,12,2012,0
+Notes on a Scandal,12,2006,0
+Notorious,1,2009,0
+Novocaine,11,2001,0
+Now You See Me,5,2013,0
+Now You See Me 2,6,2016,0
+Nowhere Boy,10,2010,0
+Nurse Betty,9,2000,0
+Nutty Professor II: The Klumps,7,2000,0
+O,8,2001,0
+"O Brother, Where Art Thou?",12,2000,0
+Oblivion,4,2013,0
+Observe and Report,4,2009,0
+Obsessed,4,2009,0
+Ocean's Eight,6,2018,0
+Ocean's Eleven,12,2001,0
+Ocean's Thirteen,6,2007,0
+Ocean's Twelve,12,2004,1
+October Baby,10,2011,0
+Office Christmas Party,12,2016,0
+Old Dogs,11,2009,0
+Old School,2,2003,0
+Oliver Twist,9,2005,0
+Olympus Has Fallen,3,2013,0
+On the Basis of Sex,12,2018,0
+On the Line,10,2001,0
+On the Road,12,2012,0
+Once,5,2007,0
+Once Upon a Deadpool,12,2018,0
+Once Upon a Time in Mexico,9,2003,0
+Once Upon a Time... in Hollywood,7,2019,0
+One Day,8,2011,0
+One Direction: This Is Us,8,2013,0
+One Hour Photo,8,2002,0
+One Missed Call,1,2008,0
+One Night at McCool's,4,2001,0
+One Night with the King,10,2006,0
+One for the Money,1,2012,0
+Only the Brave,10,2017,0
+Open Range,8,2003,0
+Open Season,9,2006,0
+Operation Finale,8,2018,0
+Oppenheimer,7,2023,0
+Orange County,1,2002,0
+Original Sin,8,2001,0
+Orphan,7,2009,0
+Osmosis Jones,8,2001,0
+Ouija,10,2014,0
+Ouija: Origin of Evil,10,2016,0
+Our Brand Is Crisis,10,2015,0
+Our Family Wedding,3,2010,0
+Our Idiot Brother,8,2011,0
+Out Cold,11,2001,0
+Out of Time,10,2003,0
+Out of the Furnace,12,2013,0
+Over Her Dead Body,2,2008,0
+Over the Hedge,5,2006,0
+Overboard,5,2018,0
+Overcomer,8,2019,0
+Overlord,11,2018,0
+Owning Mahowny,5,2003,0
+Oz the Great and Powerful,3,2013,0
+P.S. I Love You,12,2007,0
+PAW Patrol: The Mighty Movie,9,2023,1
+Pacific Rim,7,2013,0
+Pacific Rim: Uprising,3,2018,1
+Pain & Gain,4,2013,0
+Pan,10,2015,0
+Pan's Labyrinth,12,2006,0
+Pandorum,9,2009,0
+Panic,12,2000,0
+Panic Room,3,2002,0
+Paparazzi,9,2004,0
+Paper Towns,7,2015,0
+ParaNorman,8,2012,0
+Paradise Now,10,2005,0
+Paranoia,8,2013,0
+Paranormal Activity 2,10,2010,0
+Paranormal Activity 3,10,2011,1
+Paranormal Activity 4,10,2012,0
+Paranormal Activity: The Ghost Dimension,10,2015,1
+Paranormal Activity: The Marked Ones,1,2014,0
+Parasite,10,2019,0
+Parental Guidance,12,2012,0
+Parker,1,2013,0
+Part of Me,7,2012,0
+Passengers,12,2016,0
+Past Lives,6,2023,0
+Paterson,12,2016,0
+Pathfinder,4,2007,0
+Patriots Day,12,2016,0
+Paul,3,2011,0
+Paul Apostle of Christ,3,2018,0
+Paul Blart: Mall Cop,1,2009,0
+Paul Blart: Mall Cop 2,4,2015,0
+"Paul, Apostle of Christ",3,2018,0
+Pay It Forward,10,2000,0
+Paycheck,12,2003,0
+Pearl Harbor,5,2001,0
+Peeples,5,2013,0
+Penguins of Madagascar,11,2014,0
+People I Know,4,2003,0
+People Like Us,6,2012,0
+Peppermint,9,2018,0
+Percy Jackson & the Olympians: The Lightning Thief,2,2010,0
+Percy Jackson: Sea of Monsters,8,2013,0
+Perfume: The Story of a Murderer,12,2006,0
+Persepolis,12,2007,0
+Pet Sematary,4,2019,0
+Pete's Dragon,8,2016,0
+Peter Pan,12,2003,0
+Peter Rabbit,2,2018,0
+Phantom Thread,12,2017,0
+Phat Girlz,4,2006,0
+Philomena,11,2013,0
+Phoenix Forgotten,4,2017,0
+Pieces of April,10,2003,0
+Pineapple Express,8,2008,0
+Piranha 3D,8,2010,0
+Pirates of the Caribbean: At World's End,5,2007,0
+Pirates of the Caribbean: Dead Man's Chest,7,2006,0
+Pirates of the Caribbean: Dead Men Tell No Tales,5,2017,1
+Pirates of the Caribbean: On Stranger Tides,5,2011,0
+Pirates of the Caribbean: The Curse of the Black Pearl,7,2003,0
+Pitch Black,2,2000,0
+Pitch Perfect,9,2012,0
+Pitch Perfect 2,5,2015,1
+Pitch Perfect 3,12,2017,1
+Pixels,7,2015,0
+Planes,8,2013,0
+Planes: Fire & Rescue,7,2014,1
+Planet 51,11,2009,0
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+Playing for Keeps,12,2012,0
+Please Give,4,2010,0
+Point Break,12,2015,0
+Pokémon: Detective Pikachu,5,2019,0
+Pok�mon 3 the Movie: Spell of the Unown,4,2001,0
+Pok�mon: Detective Pikachu,5,2019,0
+Pollock,12,2000,0
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+Pompeii,2,2014,0
+Poms,5,2019,0
+Pooh's Heffalump Movie,2,2005,0
+Pootie Tang,6,2001,0
+Popstar: Never Stop Never Stopping,6,2016,0
+Poseidon,5,2006,0
+Possession,8,2002,0
+Post Grad,8,2009,0
+Power Rangers,3,2017,0
+Precious,11,2009,0
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+Pride & Prejudice,11,2005,0
+Pride and Glory,10,2008,0
+Pride and Prejudice and Zombies,2,2016,0
+Priest,5,2011,0
+Prime,10,2005,0
+Primer,10,2004,0
+Prince of Persia: The Sands of Time,5,2010,0
+Priscilla,10,2023,0
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+Project Almanac,1,2015,0
+Project X,3,2012,0
+Prom,4,2011,0
+Prom Night,4,2008,0
+Prometheus,6,2012,0
+Promised Land,12,2012,0
+Proof,9,2005,0
+Proof of Life,12,2000,0
+Proud Mary,1,2018,0
+Public Enemies,7,2009,0
+Pulse,8,2006,0
+Punch-Drunk Love,10,2002,0
+Punisher: War Zone,12,2008,0
+Push,2,2009,0
+Puss in Boots,10,2011,0
+Quantum of Solace,11,2008,0
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+Queen of the Damned,2,2002,0
+Quills,11,2000,0
+R.I.P.D.,7,2013,0
+RED,10,2010,0
+RV,4,2006,0
+Rabbit Hole,12,2010,0
+Rabbit-Proof Fence,11,2002,0
+Race to Witch Mountain,3,2009,0
+Rachel Getting Married,10,2008,0
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+Raising Helen,5,2004,0
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+Ready or Not,8,2019,0
+Ready to Rumble,4,2000,0
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+Real Women Have Curves,10,2002,0
+Rebound,7,2005,0
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+Red Dawn,11,2012,0
+Red Dragon,10,2002,0
+Red Eye,8,2005,0
+Red Lights,8,2004,0
+Red Planet,11,2000,0
+Red Riding Hood,3,2011,0
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+Red Tails,1,2012,0
+Redbelt,5,2008,0
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+Rendition,10,2007,0
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+Rent,11,2005,0
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+Resident Evil: Afterlife,9,2010,0
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+Restless,9,2011,0
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+Ride Along,1,2014,0
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+Rio 2,4,2014,1
+Rise of the Guardians,11,2012,0
+Rise of the Planet of the Apes,8,2011,0
+Risen,2,2016,0
+Road to Perdition,7,2002,0
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+RoboCop,2,2014,0
+Robot & Frank,8,2012,0
+Robots,3,2005,0
+Rock Star,9,2001,0
+Rock of Ages,6,2012,0
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+Rocketman,5,2019,0
+RocknRolla,10,2008,0
+Rocky Balboa,12,2006,0
+Rogue One: A Star Wars Story,12,2016,0
+Role Models,11,2008,0
+Roll Bounce,9,2005,0
+Rollerball,2,2002,0
+Roman J. Israel Esq.,11,2017,0
+Romeo Must Die,3,2000,0
+Room,10,2015,0
+Rough Night,6,2017,0
+Rugrats Go Wild,6,2003,0
+Rugrats in Paris,11,2000,0
+Rules of Engagement,4,2000,0
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+Runaway Jury,10,2003,0
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+Running Scared,2,2006,0
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+Safe Haven,2,2013,0
+Safe House,2,2012,0
+Sahara,4,2005,0
+Salt,7,2010,0
+Same Kind of Different as Me,10,2017,0
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+Sausage Party,8,2016,0
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+Save the Last Dance,1,2001,0
+Saved!,5,2004,0
+Saving Grace,8,2000,0
+Saving Mr. Banks,12,2013,0
+Saving Silverman,2,2001,0
+Saw 3D,10,2010,0
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+Saw IV,10,2007,0
+Saw V,10,2008,0
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+Say It Isn't So,3,2001,0
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+Scary Movie 2,7,2001,0
+Scary Movie 3,10,2003,0
+Scary Movie 4,4,2006,0
+Scary Movie V,4,2013,0
+Scary Stories to Tell in the Dark,8,2019,0
+School for Scoundrels,9,2006,0
+School of Rock,10,2003,0
+Scooby-Doo,6,2002,0
+Scooby-Doo 2: Monsters Unleashed,3,2004,0
+Scoop,7,2006,0
+Scott Pilgrim vs. the World,8,2010,0
+Scouts Guide to the Zombie Apocalypse,10,2015,0
+Scream 3,2,2000,0
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+Screwed,5,2000,0
+Seabiscuit,7,2003,0
+Searching,8,2018,0
+Season of the Witch,1,2011,0
+Second Act,12,2018,0
+Secondhand Lions,9,2003,0
+Secret Window,3,2004,0
+Secret in Their Eyes,11,2015,0
+Secretariat,10,2010,0
+Secretary,9,2002,0
+See No Evil,5,2006,0
+See Spot Run,3,2001,0
+Seeking a Friend for the End of the World,6,2012,0
+Self/less,7,2015,0
+Selma,12,2014,0
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+September Dawn,8,2007,0
+Serendipity,10,2001,0
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+Serving Sara,8,2002,0
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+Seven Psychopaths,10,2012,0
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+Sex Drive,10,2008,0
+Sex Tape,7,2014,0
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+Shazam! Fury of the Gods,3,2023,0
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+Silent Hill: Revelation,10,2012,0
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+Sin City,4,2005,0
+Sin City: A Dame to Kill For,8,2014,0
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+Sing,12,2016,0
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+Spy Kids 4: All the Time in the World,8,2011,0
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+Taking Lives,3,2004,0
+Taking Woodstock,8,2009,0
+Talladega Nights: The Ballad of Ricky Bobby,8,2006,0
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+Teenage Mutant Ninja Turtles,8,2014,0
+Teenage Mutant Ninja Turtles: Mutant Mayhem,8,2023,0
+Teenage Mutant Ninja Turtles: Out of the Shadows,6,2016,1
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+Testament of Youth,6,2015,0
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+Thanksgiving,11,2023,0
+That Awkward Moment,1,2014,0
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+The 15:17 to Paris,2,2018,0
+The 33,11,2015,0
+The 40-Year-Old Virgin,8,2005,0
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+The Accountant,10,2016,0
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+The Angry Birds Movie,5,2016,0
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+The Animal,6,2001,0
+The Ant Bully,7,2006,0
+The Apparition,8,2012,0
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+The Boss,4,2016,0
+The Boss Baby,3,2017,0
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+"The Chronicles of Narnia: The Lion, the Witch and the Wardrobe",12,2005,0
+The Chronicles of Narnia: The Voyage of the Dawn Treader,12,2010,0
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+The Circle,4,2017,0
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+The Creator,9,2023,0
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+The Curious Case of Benjamin Button,12,2008,0
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+The Curse of the Jade Scorpion,8,2001,0
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+The Darkest Minds,8,2018,0
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+The Day After Tomorrow,5,2004,0
+The Day the Earth Stood Still,12,2008,0
+The Deep End,8,2001,0
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+The Descendants,11,2011,0
+The Devil Inside,1,2012,0
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+The Devil's Double,7,2011,0
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+The Dilemma,1,2011,0
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+The Disaster Artist,12,2017,0
+The Divergent Series: Insurgent,3,2015,0
+The Door in the Floor,7,2004,0
+The Drop,9,2014,0
+The Duchess,9,2008,0
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+The Eagle,2,2011,0
+The Eclipse,3,2010,0
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+The Emperor's Club,11,2002,0
+The Emperor's New Groove,12,2000,0
+The Equalizer,9,2014,0
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+The Exorcism of Emily Rose,9,2005,0
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+The Express,10,2008,0
+The Eye,2,2008,0
+The Family,9,2013,0
+The Family Man,12,2000,0
+The Family Stone,12,2005,0
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+The Fast and the Furious: Tokyo Drift,6,2006,0
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+The Fault in Our Stars,6,2014,0
+The Favourite,11,2018,0
+The Fifth Estate,10,2013,0
+The Fighter,12,2010,0
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+The Final Destination,8,2009,0
+The Finest Hours,1,2016,0
+The First Purge,7,2018,1
+The Five-Year Engagement,4,2012,0
+The Flash,6,2023,0
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+The Fog,10,2005,0
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+The Forsaken,4,2001,0
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+The Four Feathers,9,2002,0
+The Fourth Kind,11,2009,0
+The Future,7,2011,0
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+The Game Plan,9,2007,0
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+The Glass House,9,2001,0
+The Golden Compass,12,2007,0
+The Goldfinch,9,2019,0
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+The Good German,12,2006,0
+The Good Girl,8,2002,0
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+The Good Liar,11,2019,0
+The Good Shepherd,12,2006,0
+The Goods: Live Hard Sell Hard,8,2009,0
+"The Goods: Live Hard, Sell Hard",8,2009,0
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+The Gospel of John,9,2003,0
+The Grand Budapest Hotel,3,2014,0
+The Great Debaters,12,2007,0
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+The Great Raid,8,2005,0
+The Greatest Game Ever Played,9,2005,0
+The Greatest Movie Ever Sold,4,2011,0
+The Greatest Showman,12,2017,0
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+The Grey,1,2012,0
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+The Grudge,10,2004,0
+The Grudge 2,10,2006,0
+The Guard,7,2011,0
+The Guardian,9,2006,0
+The Guilt Trip,12,2012,0
+The Gunman,3,2015,0
+The Guru,1,2003,0
+The Hangover,6,2009,0
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+The Hangover Part III,5,2013,0
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+The Happytime Murders,8,2018,0
+The Hate U Give,10,2018,0
+The Hateful Eight,12,2015,0
+The Haunted Mansion,11,2003,0
+The Haunting of Molly Hartley,10,2008,0
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+The Help,8,2011,0
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+The Hills Have Eyes 2,3,2007,0
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+The Hitchhiker's Guide to the Galaxy,4,2005,0
+The Hitman's Bodyguard,8,2017,0
+The Hobbit: An Unexpected Journey,12,2012,0
+The Hobbit: The Battle of the Five Armies,12,2014,0
+The Hobbit: The Desolation of Smaug,12,2013,0
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+The House,6,2017,0
+The House Bunny,8,2008,0
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+The House with a Clock in Its Walls,9,2018,0
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+The Hunger Games: Mockingjay - Part 1,11,2014,1
+The Hunger Games: Mockingjay - Part 2,11,2015,0
+The Hunger Games: The Ballad of Songbirds & Snakes,11,2023,0
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+The Huntsman: Winter's War,4,2016,0
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+The Imitation Game,11,2014,0
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+The Incredible Burt Wonderstone,3,2013,0
+The Incredible Hulk,6,2008,0
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+The Infiltrator,7,2016,0
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+The International,2,2009,0
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+The Kid,3,2019,0
+The Kid Who Would Be King,1,2019,0
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+The Kingdom,9,2007,0
+The Kitchen,8,2019,0
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+The Ladies Man,10,2000,0
+The Lady in the Van,12,2015,0
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+The Lake House,6,2006,0
+The Last Airbender,7,2010,0
+The Last Castle,10,2001,0
+The Last Exorcism,8,2010,0
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+The Last House on the Left,3,2009,0
+The Last King of Scotland,9,2006,0
+The Last Kiss,9,2006,0
+The Last Legion,8,2007,0
+The Last Samurai,12,2003,0
+The Last Sin Eater,2,2007,0
+The Last Song,3,2010,0
+The Last Stand,1,2013,0
+The Last Voyage of the Demeter,8,2023,0
+The Last Witch Hunter,10,2015,0
+The Lazarus Effect,2,2015,0
+The League of Extraordinary Gentlemen,7,2003,0
+The Legend of Bagger Vance,11,2000,0
+The Legend of Hercules,1,2014,0
+The Legend of Tarzan,7,2016,0
+The Legend of Zorro,10,2005,0
+The Lego Batman Movie,2,2017,0
+The Lego Movie,2,2014,0
+The Lego Movie 2: The Second Part,2,2019,1
+The Lego Ninjago Movie,9,2017,0
+The Libertine,11,2005,0
+The Life Aquatic with Steve Zissou,12,2004,0
+The Life of David Gale,2,2003,0
+The Light Between Oceans,9,2016,0
+The Lighthouse,10,2019,0
+The Lincoln Lawyer,3,2011,0
+The Little Mermaid,8,2018,0
+The Little Vampire,10,2000,0
+The Lizzie McGuire Movie,5,2003,0
+The Lone Ranger,7,2013,0
+The Longest Ride,4,2015,0
+The Longest Yard,5,2005,0
+The Longshots,8,2008,0
+The Lookout,3,2007,0
+The Lorax,3,2012,0
+The Lord of the Rings: The Fellowship of the Ring,12,2001,0
+The Lord of the Rings: The Two Towers,12,2002,0
+The Losers,4,2010,0
+The Lost City of Z,4,2017,0
+The Love Guru,6,2008,0
+The Lovely Bones,12,2009,0
+The Lucky One,4,2012,0
+The Machine,5,2023,0
+The Machinist,10,2004,0
+The Magnificent Seven,9,2016,0
+The Majestic,12,2001,0
+The Man from U.N.C.L.E.,8,2015,0
+The Man with the Iron Fists,11,2012,0
+The Manchurian Candidate,7,2004,0
+The Marine,10,2006,0
+The Martian,10,2015,0
+The Marvels,11,2023,1
+The Master,9,2012,0
+The Master of Disguise,8,2002,0
+The Matador,12,2005,0
+The Matrix Reloaded,5,2003,0
+The Matrix Revolutions,11,2003,0
+The Maze Runner,9,2014,0
+The Mechanic,1,2011,0
+The Medallion,8,2003,0
+The Meg,8,2018,0
+The Men Who Stare at Goats,11,2009,0
+The Merchant of Venice,12,2004,0
+The Messengers,2,2007,0
+The Mexican,3,2001,0
+The Mist,11,2007,0
+The Monuments Men,2,2014,0
+The Mortal Instruments: City of Bones,8,2013,0
+The Mothman Prophecies,1,2002,0
+The Mountain Between Us,10,2017,0
+The Mule,12,2018,0
+The Mummy,6,2017,0
+The Mummy Returns,5,2001,1
+The Mummy: Tomb of the Dragon Emperor,8,2008,0
+The Muppets,11,2011,0
+The Musketeer,9,2001,0
+The Nativity Story,12,2006,0
+The New Guy,5,2002,0
+The New World,12,2005,0
+The Next Best Thing,3,2000,0
+The Next Three Days,11,2010,0
+The Nice Guys,5,2016,0
+The Night Before,11,2015,0
+The Night Listener,8,2006,0
+The November Man,8,2014,0
+The Number 23,2,2007,0
+The Nun,9,2018,0
+The Nut Job,1,2014,0
+The Nut Job 2: Nutty by Nature,8,2017,0
+The Nutcracker and the Four Realms,11,2018,0
+The Odd Life of Timothy Green,8,2012,0
+The Oh in Ohio,7,2006,0
+The Omen,6,2006,0
+The Order,9,2003,0
+The Original Kings of Comedy,8,2000,0
+The Other Boleyn Girl,2,2008,0
+The Other Guys,8,2010,0
+The Other Side of the Door,3,2016,0
+The Other Woman,4,2014,0
+The Others,8,2001,0
+The Pacifier,3,2005,0
+The Painted Veil,12,2006,0
+The Passion of the Christ,2,2004,0
+The Patriot,6,2000,0
+The Peanut Butter Falcon,8,2019,0
+The Peanuts Movie,11,2015,0
+The Perfect Guy,9,2015,0
+The Perfect Man,6,2005,0
+The Perfect Match,3,2016,0
+The Perfect Storm,6,2000,0
+The Perks of Being a Wallflower,9,2012,0
+The Phantom of the Opera,12,2004,0
+The Pianist,12,2002,0
+The Pink Panther,2,2006,0
+The Pink Panther 2,2,2009,0
+The Pirates! Band of Misfits,4,2012,0
+The Pledge,1,2001,0
+The Polar Express,11,2004,0
+The Possession,8,2012,0
+The Possession of Hannah Grace,11,2018,0
+The Post,12,2017,0
+The Powerpuff Girls Movie,7,2002,0
+The Predator,9,2018,1
+The Prestige,10,2006,0
+The Prince and Me,4,2004,0
+The Princess Diaries,8,2001,0
+The Princess Diaries 2: Royal Engagement,8,2004,0
+The Princess and the Frog,11,2009,0
+The Prize Winner of Defiance Ohio,9,2005,0
+The Prodigy,2,2019,0
+The Producers,12,2005,0
+The Proposal,6,2009,0
+The Punisher,4,2004,0
+The Purge,6,2013,0
+The Purge: Anarchy,7,2014,1
+The Purge: Election Year,7,2016,1
+The Pursuit of Happyness,12,2006,0
+The Queen,9,2006,0
+The Quiet American,11,2002,0
+The Quiet Ones,4,2014,0
+The Raven,4,2012,0
+The Reader,12,2008,0
+The Real Cancun,4,2003,0
+The Reaping,4,2007,0
+The Replacements,8,2000,0
+The Revenant,12,2015,0
+The Ring,10,2002,0
+The Ring Two,3,2005,1
+The Rite,1,2011,0
+The Road,11,2009,0
+The Road to El Dorado,3,2000,0
+The Rocker,8,2008,0
+The Rookie,3,2002,0
+The Roommate,2,2011,0
+The Rover,6,2014,0
+The Royal Tenenbaums,12,2001,0
+The Ruins,4,2008,0
+The Rules of Attraction,10,2002,0
+The Rum Diary,10,2011,0
+The Runaways,3,2010,0
+The Rundown,9,2003,0
+The Santa Clause 2,11,2002,1
+The Savages,11,2007,0
+The Score,7,2001,0
+The Scorpion King,4,2002,0
+The Second Best Exotic Marigold Hotel,3,2015,0
+The Secret Life of Bees,10,2008,0
+The Secret Life of Pets,7,2016,0
+The Secret Life of Pets 2,6,2019,1
+The Secret Life of Walter Mitty,12,2013,0
+The Sentinel,4,2006,0
+The Sessions,10,2012,0
+The Shack,3,2017,0
+The Shaggy Dog,3,2006,0
+The Shallows,6,2016,0
+The Shape of Water,12,2017,0
+The Shipping News,12,2001,0
+The Simpsons Movie,7,2007,0
+The Sisterhood of the Traveling Pants,6,2005,0
+The Sisterhood of the Traveling Pants 2,8,2008,0
+The Sisters Brothers,9,2018,0
+The Sitter,12,2011,0
+The Skeleton Key,8,2005,0
+The Skeleton Twins,9,2014,0
+The Smurfs,7,2011,0
+The Smurfs 2,7,2013,0
+The Snowman,10,2017,0
+The Social Network,10,2010,0
+The Soloist,4,2009,0
+The Sorcerer's Apprentice,7,2010,0
+The Space Between Us,2,2017,0
+The Spectacular Now,8,2013,0
+The Spiderwick Chronicles,2,2008,0
+The Spirit,12,2008,0
+The SpongeBob Movie: Sponge Out of Water,2,2015,0
+The SpongeBob SquarePants Movie,11,2004,0
+The Spy Next Door,1,2010,0
+The Spy Who Dumped Me,8,2018,0
+The Squid and the Whale,10,2005,0
+The Star,11,2017,0
+The Statement,12,2003,0
+The Station Agent,10,2003,0
+The Stepfather,10,2009,0
+The Stepford Wives,6,2004,0
+The Strangers,5,2008,0
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+The Sum of All Fears,5,2002,0
+The Super Mario Bros. Movie,4,2023,0
+The Sweetest Thing,4,2002,0
+The Switch,8,2010,0
+The Tailor of Panama,3,2001,0
+The Taking of Pelham 123,6,2009,0
+The Tale of Despereaux,12,2008,0
+The Tempest,12,2010,0
+The Terminal,6,2004,0
+The Texas Chainsaw Massacre,10,2003,0
+The Texas Chainsaw Massacre: The Beginning,10,2006,0
+The Theory of Everything,11,2014,0
+The Thing,10,2011,0
+The Three Burials of Melquiades Estrada,12,2005,0
+The Three Musketeers,10,2011,0
+The Three Stooges,4,2012,0
+The Tigger Movie,2,2000,0
+The Time Machine,3,2002,0
+The Time Traveler's Wife,8,2009,0
+The To Do List,7,2013,0
+The Tourist,12,2010,0
+The Town,9,2010,0
+The Transporter,10,2002,0
+The Transporter Refueled,9,2015,1
+The Tree of Life,5,2011,0
+The Tuxedo,9,2002,0
+The Twilight Saga: Breaking Dawn - Part 1,11,2011,0
+The Twilight Saga: Breaking Dawn - Part 2,11,2012,0
+The Twilight Saga: Eclipse,6,2010,0
+The Twilight Saga: New Moon,11,2009,0
+The Ugly Truth,7,2009,0
+The Unborn,1,2009,0
+The Upside of Anger,3,2005,0
+The Vatican Tapes,7,2015,0
+The Village,7,2004,0
+The Virginity Hit,9,2010,0
+The Visit,9,2015,0
+The Vow,2,2012,0
+The Walk,9,2015,0
+The Warrior's Way,12,2010,0
+The Wash,11,2001,0
+The Watch,7,2012,0
+The Water Diviner,4,2015,0
+The Way Way Back,7,2013,0
+The Way of the Gun,9,2000,0
+The Weather Man,10,2005,0
+The Wedding Date,2,2005,0
+The Wedding Planner,1,2001,0
+The Wedding Ringer,1,2015,0
+The White Ribbon,12,2009,0
+The Whole Nine Yards,2,2000,0
+The Whole Ten Yards,4,2004,0
+The Wild,4,2006,0
+The Wild Thornberrys,12,2002,0
+The Wolf of Wall Street,12,2013,0
+The Wolfman,2,2010,0
+The Wolverine,7,2013,0
+The Woman in Black,2,2012,0
+The Women,9,2008,0
+The Words,9,2012,0
+The Work and the Glory,11,2004,0
+The Work and the Glory III: A House Divided,11,2006,0
+The World's End,8,2013,0
+The World's Fastest Indian,12,2005,0
+The Wrestler,12,2008,0
+The X Files: I Want to Believe,7,2008,0
+The Yellow Handkerchief,2,2010,0
+The Young Messiah,3,2016,0
+The Young Victoria,12,2009,0
+There Be Dragons,5,2011,0
+There Will Be Blood,12,2007,0
+They,11,2002,0
+Things We Lost in the Fire,10,2007,0
+Think Like a Man,4,2012,0
+Think Like a Man Too,6,2014,0
+Thir13en Ghosts,10,2001,0
+Thirteen,8,2003,0
+Thirteen Days,12,2000,0
+This Christmas,11,2007,0
+This Is 40,12,2012,0
+This Is Where I Leave You,9,2014,0
+This Is the End,6,2013,0
+This Means War,2,2012,0
+Thomas and the Magic Railroad,7,2000,0
+Thor,5,2011,0
+Thor: Ragnarok,11,2017,1
+Thor: The Dark World,11,2013,0
+Thr3e,1,2007,0
+"Three Billboards Outside Ebbing, Missouri",12,2017,0
+Thunderbirds,7,2004,0
+Timeline,11,2003,0
+Tinker Tailor Soldier Spy,12,2011,0
+To Rome with Love,6,2012,0
+To Save a Life,1,2010,0
+Tolkien,5,2019,0
+Tomb Raider,3,2018,0
+Tomcats,3,2001,0
+Tomorrowland,5,2015,0
+Tooth Fairy,1,2010,0
+Top Five,12,2014,0
+Torque,1,2004,0
+Total Recall,8,2012,0
+Tower Heist,11,2011,0
+Town & Country,4,2001,0
+Toy Story 3,6,2010,1
+Toy Story 4,6,2019,1
+Traffic,12,2000,0
+Traffik,4,2018,0
+Training Day,10,2001,0
+Trainwreck,7,2015,0
+Traitor,8,2008,0
+Trance,4,2013,0
+Transamerica,12,2005,0
+Transcendence,4,2014,0
+Transformers,7,2007,0
+Transformers: Age of Extinction,6,2014,1
+Transformers: Dark of the Moon,6,2011,0
+Transformers: Revenge of the Fallen,6,2009,0
+Transformers: Rise of the Beasts,6,2023,0
+Transformers: The Last Knight,6,2017,0
+Transporter 2,9,2005,1
+Transporter 3,11,2008,0
+Transsiberian,7,2008,0
+Trapped,3,2016,0
+Treasure Planet,11,2002,0
+Triple 9,2,2016,0
+Trolls,11,2016,0
+Trolls Band Together,10,2023,1
+Tron: Legacy,12,2010,0
+Tropic Thunder,8,2008,0
+Trouble with the Curve,9,2012,0
+Troy,5,2004,0
+True Grit,12,2010,0
+Truth,10,2015,0
+Truth or Dare,4,2018,0
+Tuck Everlasting,10,2002,0
+Tulip Fever,9,2017,0
+Turbo,7,2013,0
+Turistas,12,2006,0
+Twelve,8,2010,0
+Twilight,11,2008,0
+Twisted,2,2004,0
+Two Brothers,6,2004,0
+Two Can Play That Game,9,2001,0
+Two Weeks Notice,12,2002,0
+Two for the Money,10,2005,0
+U-571,4,2000,0
+UglyDolls,5,2019,0
+Ultraviolet,3,2006,0
+Unaccompanied Minors,12,2006,0
+Unbreakable,11,2000,0
+Unbroken,12,2014,0
+Unbroken: Path to Redemption,9,2018,1
+Uncle Drew,6,2018,0
+Under the Tuscan Sun,9,2003,0
+Underclassman,9,2005,0
+Undercover Brother,5,2002,0
+Underworld,9,2003,0
+Underworld: Awakening,1,2012,0
+Underworld: Blood Wars,1,2017,0
+Underworld: Evolution,1,2006,0
+Underworld: Rise of the Lycans,1,2009,0
+Undiscovered,8,2005,0
+Undisputed,8,2002,0
+Unfaithful,5,2002,0
+Unfinished Business,3,2015,0
+Unforgettable,4,2017,0
+Unfriended: Dark Web,7,2018,1
+United 93,4,2006,0
+Unknown,2,2011,0
+Unleashed,5,2005,0
+Unplanned,3,2019,0
+Unsane,3,2018,0
+Unstoppable,11,2010,0
+Untraceable,1,2008,0
+Up,5,2009,0
+Up in the Air,12,2009,0
+Upgrade,6,2018,0
+Uptown Girls,8,2003,0
+Urban Legends: Final Cut,9,2000,1
+Us,3,2019,0
+V for Vendetta,3,2006,0
+Vacancy,4,2007,0
+Vacation,7,2015,1
+Valentine,2,2001,0
+Valentine's Day,2,2010,0
+Valerian and the City of a Thousand Planets,7,2017,0
+Valiant,8,2005,0
+Valkyrie,12,2008,0
+Vampires Suck,8,2010,0
+Van Helsing,5,2004,0
+Vanilla Sky,12,2001,0
+Vanity Fair,9,2004,0
+Vantage Point,2,2008,0
+Venom,10,2018,0
+Venus,12,2006,0
+Vera Drake,10,2004,0
+Veronica Guerin,10,2003,0
+Veronica Mars,3,2014,0
+Vertical Limit,12,2000,0
+Vice,12,2018,0
+Vicky Cristina Barcelona,8,2008,0
+Victor Frankenstein,11,2015,0
+Volver,11,2006,0
+W.,10,2008,0
+Waiting...,10,2005,0
+Waitress,5,2007,0
+Walk Hard: The Dewey Cox Story,12,2007,0
+Walk the Line,11,2005,0
+Walking Tall,4,2004,0
+Walking with Dinosaurs 3D,12,2013,0
+Wall Street: Money Never Sleeps,9,2010,0
+Wallace & Gromit: The Curse of the Were-Rabbit,10,2005,0
+Waltz with Bashir,12,2008,0
+Wanderlust,2,2012,0
+Wanted,6,2008,0
+War Dogs,8,2016,0
+War Horse,12,2011,0
+War Room,8,2015,0
+War for the Planet of the Apes,7,2017,1
+War of the Worlds,6,2005,0
+Warcraft,6,2016,0
+Warm Bodies,2,2013,0
+Warrior,9,2011,0
+Watchmen,3,2009,0
+Water,4,2006,0
+Water for Elephants,4,2011,0
+We Are Marshall,12,2006,0
+We Are Your Friends,8,2015,0
+We Bought a Zoo,12,2011,0
+We Don't Live Here Anymore,8,2004,0
+We Need to Talk About Kevin,12,2011,0
+We Own the Night,10,2007,0
+We Were Soldiers,3,2002,0
+We're the Millers,8,2013,0
+Wedding Crashers,7,2005,0
+Welcome Home Roscoe Jenkins,2,2008,0
+Welcome to Marwen,12,2018,0
+Welcome to Mooseport,2,2004,0
+What Happens in Vegas,5,2008,0
+What If,8,2014,0
+What Lies Beneath,7,2000,0
+What Men Want,2,2019,0
+What Planet Are You From?,3,2000,0
+What Women Want,12,2000,0
+What a Girl Wants,4,2003,0
+What to Expect When You're Expecting,5,2012,0
+What's Your Number?,9,2011,0
+What's the Worst That Could Happen?,6,2001,0
+Whatever Works,6,2009,0
+When a Stranger Calls,2,2006,0
+When the Bough Breaks,9,2016,0
+When the Game Stands Tall,8,2014,0
+Where the Truth Lies,10,2005,0
+Where the Wild Things Are,10,2009,0
+Whip It,10,2009,0
+Whiplash,10,2014,0
+Whiskey Tango Foxtrot,3,2016,0
+White Boy Rick,9,2018,0
+White Chicks,6,2004,0
+White House Down,6,2013,0
+White Noise,1,2005,0
+White Oleander,10,2002,0
+Whiteout,9,2009,0
+Who's Your Caddy?,7,2007,0
+Why Did I Get Married Too?,4,2010,0
+Why Did I Get Married?,10,2007,0
+Why Him?,12,2016,0
+Wicker Park,9,2004,0
+Widows,11,2018,0
+Wild,12,2014,0
+Wild Hogs,3,2007,0
+Wild Target,10,2010,0
+Willard,3,2003,0
+Wimbledon,9,2004,0
+Win Win,3,2011,0
+Win a Date with Tad Hamilton!,1,2004,0
+Winchester,2,2018,0
+Wind River,8,2017,0
+Windtalkers,6,2002,0
+Winnie the Pooh,7,2011,0
+Winter's Bone,6,2010,0
+Winter's Tale,2,2014,0
+Wish,11,2023,0
+Wish I Was Here,7,2014,0
+Wish Upon,7,2017,0
+Without a Paddle,8,2004,0
+Wolf Creek,12,2005,0
+Woman Thou Art Loosed,10,2004,0
+Woman in Gold,4,2015,0
+Won't Back Down,9,2012,0
+Wonder,11,2017,0
+Wonder Boys,2,2000,0
+Wonder Park,3,2019,0
+Wonder Woman,6,2017,0
+Wonka,12,2023,0
+Woodlawn,10,2015,0
+World Trade Center,8,2006,0
+World War Z,6,2013,0
+Wrath of the Titans,3,2012,0
+Wreck-It Ralph,11,2012,0
+Wrong Turn,5,2003,0
+X-Men,7,2000,0
+X-Men 2,5,2003,0
+X-Men Origins: Wolverine,5,2009,0
+X-Men: Apocalypse,5,2016,0
+X-Men: Dark Phoenix,6,2019,0
+X-Men: Days of Future Past,5,2014,0
+X-Men: First Class,6,2011,0
+X-Men: The Last Stand,5,2006,0
+Year One,6,2009,0
+Yes Man,12,2008,0
+Yesterday,6,2019,0
+Yogi Bear,12,2010,0
+You Again,9,2010,0
+You Can Count on Me,11,2000,0
+You Don't Mess with the Zohan,6,2008,0
+You Got Served,1,2004,0
+You Me and Dupree,7,2006,0
+You Will Meet a Tall Dark Stranger,9,2010,0
+"You, Me and Dupree",7,2006,0
+Young Adult,12,2011,0
+Your Highness,4,2011,0
+Yours Mine & Ours,11,2005,0
+Youth,12,2015,0
+Zack and Miri Make a Porno,10,2008,0
+Zero Dark Thirty,12,2012,0
+Zodiac,3,2007,0
+Zombieland,10,2009,0
+Zombieland: Double Tap,10,2019,1
+Zookeeper,7,2011,0
+Zoolander,9,2001,0
+Zoolander 2,2,2016,1
+Zoom,8,2006,0
+Zootopia,3,2016,0
+xXx,8,2002,0
+xXx: Return of Xander Cage,1,2017,1
+�on Flux,12,2005,0