crawlfeeds/IKEA-Home-Decor-Furniture-Dataset

IKEA Home Decor & Furniture Product Dataset

A rich, structured dataset of IKEA home decor and furniture products, featuring deep category taxonomies, full product descriptions, measurements, features, and image URLs. Ideal for training product recommendation models, interior design AI applications, multimodal models, and e-commerce search systems.

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Dataset Overview

Field	Details
Source	IKEA (multi-country)
Total Records	400+
Category Focus	Home Decor, Furniture, Smart Home
Language	English
Formats	CSV / JSON
Data Quality	Validated and structured
Provider	Crawl Feeds

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What Makes This Dataset Valuable

• 4-level category hierarchy — category_1 through category_4 provides granular product taxonomy rarely available in open datasets, enabling precise product classification models
• Rich text fields — description, summary, and features together provide dense, high-quality product text suitable for LLM fine-tuning and semantic search training
• Image URLs included — primary_image and additional_images fields make this dataset multimodal-ready for computer vision and visual recommendation tasks
• Structured measurements — dimensional data for furniture and home products, invaluable for interior design AI and spatial planning applications
• Multi-country coverage — IKEA product data collected across multiple countries via the country field, enabling cross-market analysis
• Package & variation data — packages, sub_products, and variations fields support complex product configuration modeling

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Data Fields

Field	Type	Coverage	Description
product_url	String	100%	Direct product page URL
country	String	100%	Country of the IKEA store
product_name	String	100%	Full product name/title
product_id	String	100%	IKEA internal product identifier
product_type	String	100%	Product type classification
currency	String	100%	Currency code
summary	String	97.5%	Short product summary
item_number	String	100%	IKEA item/article number
description	String	100%	Full product description
price	Float	—	Price (available in full dataset)
average_rating	Float	—	Average rating (full dataset)
reviews_count	Int	—	Review count (full dataset)
ratings_breakdown	String	79.7%	Rating distribution
category_1	String	100%	Top-level category
category_2	String	100%	Second-level category
category_3	String	100%	Third-level category
category_4	String	95.6%	Fourth-level category
breadcrumbs	String	100%	Full navigation breadcrumb path
warranty_text	String	51.9%	Warranty summary
warranty_description	String	51.9%	Detailed warranty information
raw_product_details	String	100%	Raw structured product attributes
additional_images	String	100%	Additional product image URLs
primary_image	String	99.7%	Main product image URL
packages	String	100%	Package dimensions and weights
sub_products	String	59%	Component/sub-product details
product_details	String	98.2%	Structured product detail attributes
variations	String	—	Product variants (color, size)
measurements	String	95.5%	Product dimensions
features	String	97.3%	Key product features list
components	String	—	Included components
material_and_care	String	99.6%	Materials used and care instructions
uniq_id	String	100%	Unique record identifier
scraped_at	Date	100%	Data collection timestamp

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Use Cases

Natural Language Processing

• Product description generation — fine-tune LLMs to generate product copy in IKEA's style
• Semantic product search — train dense retrieval models on rich product text
• Zero-shot product classification — leverage 4-level category labels for classification benchmarks
• Multilingual product NLP — use multi-country data for cross-lingual product understanding

Recommendation Systems

• Collaborative filtering — use category taxonomy and product attributes as item features
• Content-based filtering — rich descriptions and features enable similarity-based recommendations
• Bundle recommendations — sub_products and components fields reveal natural product pairings

Computer Vision & Multimodal AI

• Product image classification — train visual models using image URLs and category labels
• Visual search systems — pair product images with text descriptions for multimodal retrieval
• Interior design AI — combine measurements, images, and categories for room planning models

E-commerce & Retail Intelligence

• Competitor price monitoring — track IKEA pricing across countries
• Product taxonomy mapping — map competitor catalogs to IKEA's category structure
• Assortment analysis — understand product range depth across home decor categories

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Sample Data

{
  "product_name": "BILLY Bookcase",
  "product_type": "Bookcase",
  "category_1": "Storage & organisation",
  "category_2": "Bookcases & shelving units",
  "category_3": "Bookcases",
  "summary": "Adjustable shelves can be arranged according to your needs.",
  "description": "You can customise your storage as needed with the adjustable shelves...",
  "measurements": "Width: 80 cm, Depth: 28 cm, Height: 202 cm",
  "material_and_care": "Particleboard, Fibreboard, Paper foil",
  "primary_image": "https://www.ikea.com/...",
  "country": "US",
  "currency": "USD"
}

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Loading the Dataset

from datasets import load_dataset

dataset = load_dataset("crawlfeeds/IKEA-Home-Decor-Furniture-Dataset")
df = dataset["train"].to_pandas()

# Filter by category
home_decor = df[df["category_1"] == "Home décor"]

# Get all products with measurements
with_measurements = df[df["measurements"].notna()]

# Text fields for LLM training
text_data = df[["product_name", "description", "features", "summary"]].dropna()

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Full Dataset & Custom Data

This is a sample dataset. The full CrawlFeeds IKEA dataset contains:

• Tens of thousands of records across all IKEA product categories
• Complete price data across multiple countries
• Ratings and reviews data
• Weekly and monthly refresh options
• Custom subsets by category, country, or product type

Get the full dataset: crawlfeeds.com

Request custom IKEA data: https://crawlfeeds.com/contact_us

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License

This dataset is made available under CC BY-NC 4.0. It is intended for research and non-commercial use. For commercial licensing, please contact crawlfeeds.com/contact.

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Citation

If you use this dataset in your research or project, please cite:

@dataset{crawlfeeds_ikea_homedecor_2025,
  author    = {Crawl Feeds},
  title     = {IKEA Home Decor & Furniture Product Dataset},
  year      = {2025},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/crawlfeeds/IKEA-Home-Decor-Furniture-Dataset}
}

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