Datasets:
beam_id stringlengths 8 8 | title stringlengths 3 53 | category_main_group stringclasses 1
value | category_sub_group stringclasses 1
value | category stringlengths 4 31 | categories stringlengths 4 198 | address stringlengths 21 70 ⌀ | street stringlengths 10 47 ⌀ | city stringclasses 1
value | state stringclasses 1
value | borough stringlengths 6 31 ⌀ | neighborhood stringlengths 6 31 ⌀ | postal_code float64 87k 87.1k ⌀ | country stringclasses 1
value | address_verified bool 1
class | latitude float64 34.9 35.2 | longitude float64 -106.94 -106.32 | timezone stringclasses 1
value | phone stringlengths 14 14 ⌀ | price_level int64 0 4 | business_status stringclasses 3
values | has_open_hours bool 2
classes | has_price bool 2
classes | census_place nullclasses 3
values | verified_census_city bool 1
class | beam_location_name stringclasses 1
value | beam_state_code stringclasses 1
value | beam_country_code stringclasses 1
value | website_protocol stringclasses 2
values | website stringlengths 17 102 ⌀ | website_normalized stringlengths 10 94 ⌀ | website_domain stringlengths 9 34 ⌀ | website_domain_tld stringclasses 10
values | website_domain_age float64 129 11.8k ⌀ | website_domain_registered stringdate 1993-12-07 00:00:00 2025-12-01 00:00:00 ⌀ | website_domain_expires stringdate 2026-04-13 00:00:00 2035-02-20 00:00:00 ⌀ | website_domain_registrar stringclasses 28
values | emails_list stringlengths 24 4.69k ⌀ | emails_list_website_domain stringclasses 1
value | emails_count int64 0 164 | emails_deliverable_count int64 0 141 | emails_risky_count int64 0 23 | description stringlengths 67 100 ⌀ | has_about bool 1
class | has_description bool 2
classes | rating float64 0 5 | reviews_total_count int64 0 3.78k | reviews_per_rating stringlengths 40 52 | service_options stringlengths 7 98 ⌀ | highlights stringlengths 12 139 ⌀ | popular_for stringclasses 8
values | accessibility stringclasses 6
values | offerings stringlengths 10 232 ⌀ | dining_options stringlengths 5 92 ⌀ | amenities stringclasses 9
values | atmosphere stringclasses 24
values | crowd stringclasses 28
values | planning nullclasses 10
values | payments stringclasses 7
values | children stringclasses 11
values | has_popular_times bool 2
classes | has_website bool 2
classes | has_email stringclasses 1
value | has_social bool 2
classes | has_phone bool 2
classes | socials_count int64 0 9 | first_social_post_date stringdate 2019-06-29 00:00:00 2025-12-31 00:00:00 ⌀ | last_social_post_date stringdate 2020-12-01 00:00:00 2026-03-27 00:00:00 ⌀ | first_social_post_days float64 99 2.48k ⌀ | last_social_post_days float64 13 1.96k ⌀ | social_post_count float64 12 110 ⌀ | first_social_post_days_min float64 99 2.48k ⌀ | first_social_post_days_max float64 99 2.48k ⌀ | last_social_post_days_min float64 13 1.96k ⌀ | last_social_post_days_max float64 13 1.96k ⌀ | social_profile_instagram stringlengths 30 60 ⌀ | social_username_instagram stringlengths 4 27 ⌀ | social_profile_facebook stringlengths 30 73 ⌀ | social_username_facebook stringlengths 5 46 ⌀ | social_profile_twitter stringlengths 25 35 ⌀ | social_username_twitter stringlengths 5 15 ⌀ | social_profile_tiktok stringlengths 29 45 ⌀ | social_username_tiktok stringlengths 5 21 ⌀ | social_profile_linkedin nulllengths 39 63 ⌀ | social_username_linkedin nulllengths 6 32 ⌀ | social_profile_youtube nullclasses 33
values | social_username_youtube nullclasses 33
values | social_profile_github nullclasses 8
values | social_username_github nullclasses 8
values | social_profile_snapchat nullclasses 1
value | social_username_snapchat nullclasses 1
value | social_profile_pinterest stringclasses 13
values | social_username_pinterest stringclasses 13
values | instagram_followers float64 50 5.51M ⌀ | instagram_engagement_rate float64 0.03 254 ⌀ | instagram_engagement_rate_1m null 0.06 1.37 ⌀ | instagram_engagement_rate_3m float64 0.02 21.2 ⌀ | instagram_engagement_rate_6m float64 0.03 254 ⌀ | instagram_engagement_rate_12m float64 0.03 254 ⌀ | instagram_post_count float64 4 4.57k ⌀ | tiktok_followers float64 1 1.8M ⌀ | tiktok_video_count float64 0 2.09k ⌀ | tiktok_heart_count float64 0 15M ⌀ | tiktok_engagement_rate float64 0.1 24 ⌀ | tiktok_engagement_rate_1m null | tiktok_engagement_rate_3m float64 0.08 14.8 ⌀ | tiktok_engagement_rate_6m float64 0.1 15.1 ⌀ | tiktok_engagement_rate_12m float64 0.1 15.1 ⌀ | menu_link stringlengths 20 118 ⌀ | order_links nullclasses 20
values | reservation_link nullclasses 19
values | last_updated_at stringlengths 32 32 | beam_cross_social_market_penetration float64 0 977 | beam_cross_velocity_quality float64 0 16 ⌀ | beam_cross_social_urgency float64 0 9.4 | beam_cross_per_capita_engagement float64 2.19k 11.7k | beam_cross_market_saturation_lead float64 10.4 144 | beam_cross_population_adjusted_rank float64 87.5 87.5 | beam_cross_demand_gap_index float64 2 2.3 | beam_rating_score float64 0 100 | beam_review_confidence float64 0 100 | beam_rating_health float64 0 100 | sentiment_avg float64 -0.63 1 ⌀ | sentiment_avg_30d float64 -1 1 ⌀ | sentiment_avg_90d float64 -0.98 1 ⌀ | sentiment_avg_180d float64 -1 1 ⌀ | sentiment_avg_360d float64 -1 1 ⌀ | sentiment_percentile_1km float64 0.02 0.78 ⌀ | sentiment_percentile_5km float64 0 0.79 ⌀ | sentiment_percentile_10km float64 0.03 0.75 ⌀ | sentiment_score_90d float64 1.1 100 ⌀ | sentiment_score_360d float64 0 100 ⌀ | sentiment_positive_pct_30d float64 0 100 ⌀ | sentiment_negative_pct_30d float64 0 100 ⌀ | sentiment_neutral_pct_30d float64 0 100 ⌀ | sentiment_positive_pct_90d float64 0 100 ⌀ | sentiment_negative_pct_90d float64 0 100 ⌀ | sentiment_neutral_pct_90d float64 0 100 ⌀ | sentiment_positive_pct_180d float64 0 100 ⌀ | sentiment_negative_pct_180d float64 0 100 ⌀ | sentiment_neutral_pct_180d float64 0 50 ⌀ | sentiment_positive_pct_360d float64 0 100 ⌀ | sentiment_negative_pct_360d float64 0 100 ⌀ | sentiment_neutral_pct_360d float64 0 65.4 ⌀ | sentiment_trend_30vs90d stringclasses 3
values | sentiment_trend_90vs360d stringclasses 3
values | sentiment_diff_30vs90d float64 -1 1.2 ⌀ | sentiment_change_360d float64 -64.9 52.6 ⌀ | sentiment_diff_90vs360d float64 -1.3 1.05 ⌀ | sentiment_change_pct_360d float64 -96.5 123 ⌀ | reviews_count_30d float64 0 2 ⌀ | reviews_count_90d float64 0 112 ⌀ | reviews_count_180d float64 0 234 ⌀ | reviews_count_360d float64 0 540 ⌀ | review_growth_pct_180d float64 -100 100 ⌀ | review_growth_pct_360d float64 -100 300 ⌀ | review_growth_pct_90d float64 -100 -14.3 ⌀ | beam_score_overall float64 21.9 82.3 | beam_popularity_percentile float64 9.5 61.8 | beam_social_presence int64 0 100 | beam_data_completeness int64 17 100 | beam_price_value float64 13.2 100 | beam_data_freshness float64 44 100 | beam_rank_city_category int64 4 1.77k | beam_rank_city_overall int64 40 4k | beam_rank_city_reviews int64 4 4k | beam_rank_state_category int64 4 5.04k | beam_rank_state_overall int64 137 11.9k | beam_rank_state_reviews int64 4 11.9k | beam_rank_country_category int64 622 724k | beam_rank_country_overall int64 20.1k 1.53M | beam_rank_country_reviews int64 788 1.53M | beam_rank_place_global_category int64 645 781k | beam_rank_category int64 4 1.77k | beam_rank_competition_1km_category int64 1 725k | beam_rank_competition_1km_total int64 1 100 | beam_rank_competition_1km_reviews int64 1 738k | beam_rank_competition_5km_category int64 1 711k | beam_rank_competition_5km_total int64 1 101 | beam_rank_competition_5km_reviews int64 1 751k | beam_rank_competition_10km_category int64 1 672k | beam_rank_competition_10km_total int64 1 237 | beam_rank_competition_10km_reviews int64 1 687k | beam_export_rank int64 11 1.66k | total_city_category int64 1.79k 1.79k | total_city int64 3.63k 3.63k | total_state_category int64 5.13k 5.13k | total_state int64 11.1k 11.1k | total_country_category int64 734k 734k | total_country int64 1.46M 1.46M | total_category_global int64 734k 734k | beam_competitors_10km_competitive_strength float64 0.27 0.78 ⌀ | beam_competitors_10km_competitor_avg_sentiment_30d float64 -0 0.22 ⌀ | beam_competitors_10km_competitor_avg_sentiment_90d float64 0.02 0.53 ⌀ | beam_competitors_10km_sentiment_diff_30d float64 -0.22 0 ⌀ | beam_competitors_10km_sentiment_diff_90d float64 -1.51 0.7 ⌀ | beam_competitors_1km_competitive_strength float64 0.18 0.81 ⌀ | beam_competitors_1km_competitor_avg_sentiment_30d float64 -0.1 0.28 ⌀ | beam_competitors_1km_competitor_avg_sentiment_90d float64 -0.16 0.47 ⌀ | beam_competitors_1km_sentiment_diff_30d float64 -0.28 0.1 ⌀ | beam_competitors_1km_sentiment_diff_90d float64 -1.27 0.95 ⌀ | beam_competitors_5km_competitive_strength float64 0.25 0.85 ⌀ | beam_competitors_5km_competitor_avg_sentiment_30d float64 -0.04 0.25 ⌀ | beam_competitors_5km_competitor_avg_sentiment_90d float64 -0.17 0.52 ⌀ | beam_competitors_5km_sentiment_diff_30d float64 -0.25 0.04 ⌀ | beam_competitors_5km_sentiment_diff_90d float64 -1.46 0.94 ⌀ | beam_competitors_10km_competitor_count int64 1 173 | beam_competitors_1km_competitor_count int64 0 99 | beam_competitors_5km_competitor_count int64 0 100 | beam_competitors_1km_rank_by_score int64 1 725k | beam_competitors_1km_rank_by_rating float64 19.8k 720k ⌀ | beam_competitors_1km_rank_by_reviews int64 1 738k | beam_competitors_1km_score_percentile float64 0.03 0.97 ⌀ | beam_competitors_1km_rating_percentile float64 0.03 0.97 ⌀ | beam_competitors_1km_reviews_percentile float64 0.01 0.98 ⌀ | beam_competitors_1km_health_percentile float64 0.1 0.98 ⌀ | beam_competitors_1km_sentiment_percentile float64 0.02 0.78 ⌀ | beam_competitors_1km_competitor_avg_score float64 30 52.6 ⌀ | beam_competitors_1km_competitor_avg_rating float64 0.07 2.29 ⌀ | beam_competitors_1km_competitor_avg_reviews float64 14 1.68k ⌀ | beam_competitors_1km_competitor_avg_health float64 5.6 47.3 ⌀ | beam_competitors_1km_competitor_avg_sentiment float64 0.18 0.58 ⌀ | beam_competitors_1km_score_diff float64 -24.3 30.7 ⌀ | beam_competitors_1km_rating_diff float64 -1.39 4.06 ⌀ | beam_competitors_1km_reviews_diff float64 -1,385 10.2k ⌀ | beam_competitors_1km_health_diff float64 -29 86.2 ⌀ | beam_competitors_1km_sentiment_diff float64 -1.01 0.6 ⌀ | beam_competitors_5km_rank_by_score int64 1 711k | beam_competitors_5km_rank_by_rating float64 87.2k 396k ⌀ | beam_competitors_5km_rank_by_reviews int64 1 751k | beam_competitors_5km_score_percentile float64 0.06 0.87 ⌀ | beam_competitors_5km_rating_percentile float64 0.47 0.88 ⌀ | beam_competitors_5km_reviews_percentile float64 0.01 0.93 ⌀ | beam_competitors_5km_health_percentile float64 0.4 0.99 ⌀ | beam_competitors_5km_sentiment_percentile float64 0 0.79 ⌀ | beam_competitors_5km_competitor_avg_score float64 37.5 53.6 ⌀ | beam_competitors_5km_competitor_avg_rating float64 0.77 1.88 ⌀ | beam_competitors_5km_competitor_avg_reviews float64 69 1.97k ⌀ | beam_competitors_5km_competitor_avg_health float64 11.5 45.5 ⌀ | beam_competitors_5km_competitor_avg_sentiment float64 0.07 0.66 ⌀ | beam_competitors_5km_score_diff float64 -30.7 25.9 ⌀ | beam_competitors_5km_rating_diff float64 -1.33 3.97 ⌀ | beam_competitors_5km_reviews_diff float64 -1,957 9.22k ⌀ | beam_competitors_5km_health_diff float64 -24.1 84.9 ⌀ | beam_competitors_5km_sentiment_diff float64 -1.21 0.58 ⌀ | beam_competitors_10km_rank_by_score int64 1 672k | beam_competitors_10km_rank_by_rating float64 147k 370k ⌀ | beam_competitors_10km_rank_by_reviews int64 1 687k | beam_competitors_10km_score_percentile float64 0.1 0.82 ⌀ | beam_competitors_1km_competitive_tier stringclasses 5
values | beam_competitors_10km_rating_percentile float64 0.5 0.8 ⌀ | beam_competitors_10km_reviews_percentile float64 0.09 0.9 ⌀ | beam_competitors_10km_health_percentile float64 0.35 0.81 ⌀ | beam_competitors_10km_sentiment_percentile float64 0.03 0.75 ⌀ | beam_competitors_5km_competitive_tier stringclasses 4
values | beam_competitors_10km_competitor_avg_score float64 40.1 54.3 ⌀ | beam_competitors_10km_competitor_avg_rating float64 0.86 1.66 ⌀ | beam_competitors_10km_competitor_avg_reviews float64 319 2.05k ⌀ | beam_competitors_10km_competitor_avg_health float64 10.4 26.9 ⌀ | beam_competitors_10km_competitive_tier stringclasses 3
values | beam_competitors_10km_competitor_avg_sentiment float64 0.33 0.69 ⌀ | beam_competitors_10km_score_diff float64 -32.6 19.1 ⌀ | beam_competitors_10km_rating_diff float64 -1.46 3.83 ⌀ | beam_competitors_10km_reviews_diff float64 -1,876 8.89k ⌀ | beam_competitors_10km_health_diff float64 -21.7 83.1 ⌀ | beam_competitors_10km_sentiment_diff float64 -1.27 0.39 ⌀ | beam_competitors_1km_total_in_radius float64 4 100 ⌀ | beam_competitors_5km_total_in_radius float64 4 101 ⌀ | beam_competitors_10km_total_in_radius float64 41 101 ⌀ | beam_competitors_1km_avg_distance_m float64 127 804 ⌀ | beam_competitors_1km_closest_competitor_m float64 0 434 ⌀ | beam_competitors_1km_market_type stringclasses 3
values | beam_competitors_1km_review_share float64 0 0.61 ⌀ | beam_competitors_1km_density_per_sqkm float64 0.95 31.5 ⌀ | beam_competitors_1km_tier_below_40 float64 0 80 ⌀ | beam_competitors_1km_tier_40_59 float64 11.1 100 ⌀ | beam_competitors_1km_tier_60_79 float64 0 28.6 ⌀ | beam_competitors_1km_tier_80_100 float64 0 0 ⌀ | beam_competitors_5km_avg_distance_m float64 1.44k 4.1k ⌀ | beam_competitors_5km_closest_competitor_m float64 1k 2.49k ⌀ | beam_competitors_5km_market_type stringclasses 3
values | beam_competitors_5km_review_share float64 0 0.51 ⌀ | beam_competitors_5km_density_per_sqkm float64 0.04 1.27 ⌀ | beam_competitors_5km_tier_below_40 float64 0 66.7 ⌀ | beam_competitors_5km_tier_40_59 float64 33.3 84 ⌀ | beam_competitors_5km_tier_60_79 float64 0 33 ⌀ | beam_competitors_5km_tier_80_100 float64 0 0 ⌀ | beam_competitors_10km_avg_distance_m float64 6.77k 9.06k ⌀ | beam_competitors_10km_closest_competitor_m float64 5k 6.38k ⌀ | beam_competitors_10km_market_type stringclasses 1
value | beam_competitors_10km_review_share float64 0 0.05 ⌀ | beam_competitors_10km_density_per_sqkm float64 0.13 0.32 ⌀ | beam_competitors_10km_tier_below_40 float64 0 45.6 ⌀ | beam_competitors_10km_tier_40_59 float64 45.6 83 ⌀ | beam_competitors_10km_tier_60_79 float64 4.9 35 ⌀ | beam_competitors_10km_tier_80_100 float64 0 0 ⌀ | beam_competitors_city_competitor_avg_sentiment_30d float64 0.12 0.14 ⌀ | beam_competitors_city_competitor_avg_sentiment_90d float64 0.54 0.55 ⌀ | beam_competitors_city_sentiment_diff_30d float64 -0.14 -0.12 ⌀ | beam_competitors_city_sentiment_diff_90d float64 -1.55 0.46 ⌀ | beam_competitors_city_competitor_count float64 100 100 ⌀ | beam_competitors_city_total_in_city float64 101 101 ⌀ | beam_competitors_city_rank_by_score float64 20 2.04k ⌀ | beam_competitors_city_rank_by_rating float64 1 1.98k ⌀ | beam_competitors_city_rank_by_reviews float64 1 2.09k ⌀ | beam_competitors_city_score_percentile float64 0.04 0.99 ⌀ | beam_competitors_city_rating_percentile float64 0 0.94 ⌀ | beam_competitors_city_reviews_percentile float64 0 1 ⌀ | beam_competitors_city_health_percentile float64 0 0.99 ⌀ | beam_competitors_city_sentiment_percentile float64 0 0.99 ⌀ | beam_competitors_city_competitor_avg_score float64 52.8 53.1 ⌀ | beam_competitors_city_competitor_avg_rating float64 1.08 1.12 ⌀ | beam_competitors_city_competitor_avg_reviews float64 1.78k 1.88k ⌀ | beam_competitors_city_competitor_avg_health float64 15.1 15.8 ⌀ | beam_competitors_city_competitor_avg_sentiment float64 0.7 0.7 ⌀ | beam_competitors_city_score_diff float64 -32.2 18.4 ⌀ | beam_competitors_city_rating_diff float64 -1.12 3.88 ⌀ | beam_competitors_city_reviews_diff float64 -1,873 9.04k ⌀ | beam_competitors_city_health_diff float64 -15.8 84.2 ⌀ | beam_competitors_city_sentiment_diff float64 -1.34 0.3 ⌀ | beam_competitors_city_market_type stringclasses 1
value | beam_competitors_city_review_share float64 0 0.06 ⌀ | beam_competitors_city_density_per_sqkm float64 0.2 0.2 ⌀ | beam_competitors_city_tier_below_40 float64 0 0 ⌀ | beam_competitors_city_tier_40_59 float64 74 75 ⌀ | beam_competitors_city_tier_60_79 float64 25 26 ⌀ | beam_competitors_city_tier_80_100 float64 0 0 ⌀ | beam_competitors_city_competitive_strength float64 0.03 0.96 ⌀ | beam_competitors_city_underserved_score float64 2.3 2.3 ⌀ | beam_competitors_city_competition_intensity float64 0.94 0.94 ⌀ | beam_competitors_state_competitor_avg_sentiment_30d float64 0.11 0.12 ⌀ | beam_competitors_state_competitor_avg_sentiment_90d float64 0.52 0.53 ⌀ | beam_competitors_state_sentiment_diff_30d float64 -0.12 -0.11 ⌀ | beam_competitors_state_sentiment_diff_90d float64 -1.52 0.48 ⌀ | beam_competitors_state_competitor_count float64 100 100 ⌀ | beam_competitors_state_total_in_state float64 101 101 ⌀ | beam_competitors_state_rank_by_score float64 35 5.68k ⌀ | beam_competitors_state_rank_by_rating float64 1 5.91k ⌀ | beam_competitors_state_rank_by_reviews float64 1 5.76k ⌀ | beam_competitors_state_score_percentile float64 0.05 0.99 ⌀ | beam_competitors_state_rating_percentile float64 0 0.91 ⌀ | beam_competitors_state_reviews_percentile float64 0 1 ⌀ | beam_competitors_state_health_percentile float64 0 0.99 ⌀ | beam_competitors_state_sentiment_percentile float64 0 0.99 ⌀ | beam_competitors_state_competitor_avg_score float64 54.6 54.9 ⌀ | beam_competitors_state_competitor_avg_rating float64 1.33 1.37 ⌀ | beam_competitors_state_competitor_avg_reviews float64 1.79k 1.89k ⌀ | beam_competitors_state_competitor_avg_health float64 17.7 18.3 ⌀ | beam_competitors_state_competitor_avg_sentiment float64 0.72 0.73 ⌀ | beam_competitors_state_score_diff float64 -33.8 16.6 ⌀ | beam_competitors_state_rating_diff float64 -1.37 3.66 ⌀ | beam_competitors_state_reviews_diff float64 -1,888 9.02k ⌀ | beam_competitors_state_health_diff float64 -18.3 82.3 ⌀ | beam_competitors_state_sentiment_diff float64 -1.36 0.27 ⌀ | beam_competitors_state_market_type stringclasses 1
value | beam_competitors_state_review_share float64 0 0.06 ⌀ | beam_competitors_state_density_per_sqkm float64 0 0 ⌀ | beam_competitors_state_underserved_score float64 1.11 1.11 ⌀ | beam_competitors_state_competition_intensity float64 0.26 0.26 ⌀ | beam_competitors_state_competitive_strength float64 0.05 0.96 ⌀ | beam_competitors_country_competitor_avg_sentiment_30d float64 0.06 0.06 ⌀ | beam_competitors_country_competitor_avg_sentiment_90d float64 0.23 0.23 ⌀ | beam_competitors_country_sentiment_diff_30d float64 -0.06 -0.06 ⌀ | beam_competitors_country_sentiment_diff_90d float64 -1.23 0.77 ⌀ | beam_competitors_country_competitor_count float64 792k 792k ⌀ | beam_competitors_country_competitor_avg_score float64 41.1 41.1 ⌀ | beam_competitors_country_competitor_avg_rating float64 0.94 0.94 ⌀ | beam_competitors_country_competitor_avg_reviews float64 531 531 ⌀ | beam_competitors_country_competitor_avg_health float64 20.4 20.4 ⌀ | beam_competitors_country_competitor_avg_sentiment float64 0.46 0.46 ⌀ | beam_competitors_country_score_diff float64 -20.3 30.1 ⌀ | beam_competitors_country_rating_diff float64 -0.94 4.06 ⌀ | beam_competitors_country_reviews_diff float64 -531 10.3k ⌀ | beam_competitors_country_sentiment_diff float64 -1.09 0.54 ⌀ | beam_competitors_country_score_percentile float64 0.04 0.99 ⌀ | beam_competitors_country_rating_percentile float64 0 0.91 ⌀ | beam_competitors_country_reviews_percentile float64 0 1 ⌀ | beam_competitors_country_health_percentile float64 0 0.99 ⌀ | beam_competitors_country_sentiment_percentile float64 0 0.99 ⌀ | beam_competitors_country_rank_by_score float64 7.59k 756k ⌀ | beam_competitors_country_competitive_strength float64 0.06 0.95 ⌀ | beam_competitors_country_health_diff float64 -20.4 79.6 ⌀ | beam_competitors_country_rank_by_rating float64 1 695k ⌀ | beam_competitors_country_rank_by_reviews float64 599 718k ⌀ | beam_competitors_country_tier_40_59 float64 44.5 44.5 ⌀ | beam_competitors_country_tier_60_79 float64 8.8 8.8 ⌀ | beam_competitors_country_tier_80_100 float64 0 0 ⌀ | beam_competitors_country_tier_below_40 float64 46.7 46.7 ⌀ | beam_competitors_country_total_in_country float64 792k 792k ⌀ | beam_competitors_city_siblings_competitor_count int64 114 1.58k | beam_competitors_city_siblings_competitor_avg_score float64 52.7 54.1 | beam_competitors_city_siblings_competitor_avg_rating float64 3.76 4.13 | beam_competitors_city_siblings_competitor_avg_reviews int64 315 564 | beam_competitors_city_siblings_competitor_avg_health float64 11.3 25.9 | beam_competitors_city_siblings_competitor_avg_sentiment float64 0.36 0.56 | beam_competitors_city_siblings_score_diff float64 -32 29.3 | beam_competitors_city_siblings_rating_diff float64 -3.04 0.96 ⌀ | beam_competitors_city_siblings_reviews_diff int64 -563 3.32k | beam_competitors_city_siblings_sentiment_diff float64 -1.09 0.64 | beam_competitors_city_siblings_score_percentile float64 0.03 1 | beam_competitors_city_siblings_rating_percentile float64 0 0.86 | beam_competitors_city_siblings_reviews_percentile float64 0 1 | beam_competitors_city_siblings_health_percentile float64 0 0.99 | beam_competitors_city_siblings_sentiment_percentile float64 0 0.99 | beam_competitors_city_siblings_rank_by_score int64 2 1.51k | beam_competitors_city_siblings_competitor_avg_recommend_pct float64 56.5 67.8 | beam_competitors_city_siblings_recommend_pct_diff float64 -56.49 43.5 | beam_competitors_city_siblings_recommend_pct_percentile float64 0 0.99 | beam_competitors_city_siblings_total_siblings int64 114 1.58k | beam_competitors_city_businesses_per_10k_pop float64 1.77 1.77 ⌀ | beam_competitors_city_population_per_business float64 5.65k 5.65k ⌀ | beam_competitors_city_population_density float64 1.15k 1.15k ⌀ | beam_competitors_city_reviews_per_capita float64 0.31 0.33 ⌀ | beam_competitors_city_reviews_per_10k_pop float64 3.15k 3.33k ⌀ | beam_competitors_state_businesses_per_10k_pop float64 0.47 0.47 ⌀ | beam_competitors_state_population_per_business float64 21.2k 21.2k ⌀ | beam_competitors_state_population_density float64 7 7 ⌀ | beam_competitors_state_reviews_per_capita float64 0.08 0.09 ⌀ | beam_competitors_state_reviews_per_10k_pop float64 846 892 ⌀ | beam_competitors_1km_hhi_contribution float64 0 3.69k ⌀ | beam_competitors_1km_hhi_minimum float64 100 2.5k ⌀ | beam_competitors_5km_hhi_contribution float64 0 2.56k ⌀ | beam_competitors_5km_hhi_minimum float64 99 2.5k ⌀ | beam_competitors_10km_hhi_contribution float64 0 28.3 ⌀ | beam_competitors_10km_hhi_minimum float64 99 244 ⌀ | beam_competitors_city_hhi_contribution float64 0 32.9 ⌀ | beam_competitors_city_hhi_minimum float64 99 99 ⌀ | beam_competitors_state_hhi_contribution float64 0 32.4 ⌀ | beam_competitors_state_hhi_minimum float64 99 99 ⌀ | beam_trends_score_30d_beam_score_overall float64 -43.4 -1.9 | beam_trends_score_30d_rating float64 -5 0 ⌀ | beam_trends_score_30d_review_count int64 -10 7.71k | beam_trends_score_30d_beam_rating_health float64 -100 0 | beam_trends_score_30d_beam_popularity_percentile float64 -73.7 25 | beam_trends_score_90d_beam_score_overall null | beam_trends_score_90d_rating null | beam_trends_score_90d_review_count null | beam_trends_score_90d_beam_rating_health null | beam_trends_score_90d_beam_popularity_percentile null | beam_trends_competitive_1km_30d_strength_change float64 -0.15 0.49 ⌀ | beam_trends_competitive_1km_30d_rank_change float64 -459,491 147k ⌀ | beam_trends_competitive_1km_30d_percentile_change float64 -0.2 0.63 ⌀ | beam_trends_competitive_1km_90d_strength_change float64 0.18 0.81 ⌀ | beam_trends_competitive_1km_90d_rank_change float64 22.8k 725k ⌀ | beam_trends_competitive_1km_90d_percentile_change float64 0.03 0.97 ⌀ | beam_trends_competitive_5km_30d_strength_change float64 -0.04 0.3 ⌀ | beam_trends_competitive_5km_30d_rank_change float64 -202,866 29.2k ⌀ | beam_trends_competitive_5km_30d_percentile_change float64 -0.03 0.28 ⌀ | beam_trends_competitive_5km_90d_strength_change float64 0.25 0.85 ⌀ | beam_trends_competitive_5km_90d_rank_change float64 93.3k 711k ⌀ | beam_trends_competitive_5km_90d_percentile_change float64 0.06 0.87 ⌀ | beam_trends_competitive_10km_30d_strength_change float64 0.02 0.31 ⌀ | beam_trends_competitive_10km_30d_rank_change float64 -261,576 -14,657 ⌀ | beam_trends_competitive_10km_30d_percentile_change float64 0.03 0.36 ⌀ | beam_trends_competitive_10km_90d_strength_change float64 0.27 0.78 ⌀ | beam_trends_competitive_10km_90d_rank_change float64 135k 672k ⌀ | beam_trends_competitive_10km_90d_percentile_change float64 0.1 0.82 ⌀ | beam_trends_competitive_city_30d_strength_change float64 -0.48 0.35 ⌀ | beam_trends_competitive_city_30d_rank_change float64 -1,293 1.14k ⌀ | beam_trends_competitive_city_30d_percentile_change float64 -0.53 0.62 ⌀ | beam_trends_competitive_city_90d_strength_change float64 0.03 0.96 ⌀ | beam_trends_competitive_city_90d_rank_change float64 20 2.04k ⌀ | beam_trends_competitive_city_90d_percentile_change float64 0.04 0.99 ⌀ | beam_trends_competitive_state_30d_strength_change float64 -0.46 0.33 ⌀ | beam_trends_competitive_state_30d_rank_change float64 -3,505 3.22k ⌀ | beam_trends_competitive_state_30d_percentile_change float64 -0.53 0.61 ⌀ | beam_trends_competitive_state_90d_strength_change float64 0.05 0.96 ⌀ | beam_trends_competitive_state_90d_rank_change float64 35 5.68k ⌀ | beam_trends_competitive_state_90d_percentile_change float64 0.05 0.99 ⌀ | beam_trends_sentiment_current_sentiment float64 -0.63 1 ⌀ | beam_trends_sentiment_positive_ratio null | beam_trends_sentiment_negative_ratio null | beam_trends_sentiment_review_count float64 0 3.78k ⌀ | beam_trends_velocity_reviews_per_day float64 0 0.5 ⌀ | beam_trends_velocity_reviews_per_month float64 0 15 ⌀ | beam_trends_velocity_percentile_city float64 0 1 ⌀ | beam_trends_velocity_percentile_state float64 0 1 ⌀ | beam_trends_velocity_trend stringclasses 3
values | beam_velocity_reviews_per_day float64 0 1.03 ⌀ | beam_velocity_reviews_per_week float64 0 7.23 ⌀ | beam_velocity_reviews_per_month float64 0 31 ⌀ | beam_velocity_reviews_last_30d float64 0 31 ⌀ | beam_velocity_reviews_last_90d float64 0 176 ⌀ | beam_velocity_reviews_last_365d float64 1 608 ⌀ | beam_velocity_percentile_1km float64 0.24 0.99 ⌀ | beam_velocity_percentile_5km float64 0.25 0.99 ⌀ | beam_velocity_percentile_10km float64 0.25 0.99 ⌀ | beam_velocity_percentile_city float64 0 1 ⌀ | beam_velocity_percentile_state float64 0 1 ⌀ | beam_velocity_rank_1km float64 10.4k 656k ⌀ | beam_velocity_rank_5km float64 10.8k 693k ⌀ | beam_velocity_rank_10km float64 10.8k 690k ⌀ | beam_velocity_rank_city float64 1 155 ⌀ | beam_velocity_rank_state float64 1 453 ⌀ | beam_velocity_trend stringclasses 3
values | beam_velocity_change_30d float64 -2.97 0.6 ⌀ | beam_velocity_change_90d null -0.4 0 ⌀ | beam_trends_sentiment_recommend_pct float64 10.8 100 ⌀ |
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F8BDBMQ5 | Panda Express | Food and Drink | Restaurants | Chinese restaurant | "Chinese restaurant, Asian restaurant, Caterer, Chinese noodle restaurant, Chinese takeaway, Deliver(...TRUNCATED) | 2760 Coors Blvd NW, Albuquerque, NM 87120 | 2760 Coors Blvd NW | Albuquerque | New Mexico | West Bluff | West Bluff | 87,120 | US | true | 35.113262 | -106.701339 | America/Denver | (505) 83*-**** | 1 | OPERATIONAL | true | true | null | true | Albuquerque | New Mexico | US | https | https://pandaexpress.com/locations/nm/albuquerque/571 | pandaexpress.com/locations/nm/albuquerque/571 | pandaexpress.com | com | 10,543 | 1997-05-28 | 2026-05-27 | Lexsynergy Limited | "purchase_dataset@pandarg.com, purchase_dataset@pandarg.com, purchase_dataset@pandaexpress.com.mx, p(...TRUNCATED) | realdomain | 11 | 2 | 9 | Fast-food chain for Chinese standards, including some health-conscious options. | true | true | 3.84 | 607 | {"1": 91, "2": 29, "3": 84, "4": 138, "5": 313} | Delivery, Onsite services, Takeout, Dine-in | Fast service | Lunch, Dinner, Solo dining | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | Comfort food, Quick bite, Small plates | Lunch, Dinner, Catering, Seating | Restroom | Casual, Trendy | College students, Family-friendly, Groups, Tourists | null | Credit cards, Debit cards, NFC mobile payments | Good for kids, High chairs, Kids' menu | true | true | purchase_dataset@ | true | true | 5 | 2022-08-02 | 2026-03-03 | 1,346 | 37 | 94 | 1,346 | 1,346 | 37 | 37 | https://www.instagram.com/officialpandaexpress | officialpandaexpress | https://www.facebook.com/pages/panda-express/111684318866910 | pages/panda-express/111684318866910 | https://twitter.com/pandaexpress | pandaexpress | https://www.tiktok.com/@officialpandaexpress | officialpandaexpress | null | null | null | null | null | null | null | null | https://www.pinterest.com/pandaexpress | pandaexpress | 334,645 | 0.83 | null | 0.93 | 0.83 | 0.83 | 1,706 | 131,200 | 390 | 2,100,000 | 2.55 | null | 3.09 | 1.38 | 1.34 | https://order.pandaexpress.com/location/westbluff-px/menu | null | null | 2026-04-09T08:39:07.843036+00:00 | 59.27 | 3.19 | 0 | 3,398.55 | 18.7 | 87.5217 | 2.29 | 76.8 | 92.8 | 69 | 0.391 | 1 | 0.3333 | 0.3937 | 0.1877 | 0.1401 | 0.3257 | 0.5562 | 66.7 | 59.4 | 100 | 0 | 0 | 66.67 | 33.33 | 0 | 71.43 | 28.57 | 0 | 61.11 | 36.11 | 2.78 | improving | improving | 0.6667 | 7.3 | 0.1456 | 12.3 | 1 | 6 | 14 | 36 | -14.3 | -33.3 | -50 | 69.1 | 45.1 | 80 | 83 | 58.3 | 46 | 664 | 2,843 | 1,053 | 1,532 | 8,129 | 2,362 | 194,612 | 1,089,979 | 279,929 | 208,492 | 664 | 210,005 | 32 | 68,599 | 280,200 | 101 | 214,654 | 185,421 | 101 | 124,849 | 1,179 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.7598 | 0.1253 | 0.417 | -0.1253 | -0.417 | 0.7094 | 0.037 | 0.266 | -0.037 | -0.266 | 0.6496 | -0.0035 | 0.2778 | 0.0035 | -0.2778 | 100 | 31 | 100 | 210,005 | 365,044 | 68,599 | 0.7133 | 0.5056 | 0.908 | 0.3642 | 0.1401 | 44.8 | 0.74 | 1,089 | 11.9 | 0.3588 | 11 | 1.16 | -436 | 18.7 | 0.0322 | 280,200 | 287,165 | 214,654 | 0.6239 | 0.6168 | 0.7166 | 0.4911 | 0.3257 | 48.9 | 1.06 | 1,173 | 14.1 | 0.5135 | 6.9 | 0.84 | -520 | 16.5 | -0.1225 | 185,421 | 222,624 | 124,849 | 0.749 | Strong | 0.7004 | 0.8336 | 0.638 | 0.5562 | Average | 52.6 | 1.32 | 1,777 | 19.3 | Strong | 0.6361 | 3.2 | 0.58 | -1,124 | 11.3 | -0.2451 | 32 | 101 | 101 | 403 | 36 | competitive | 0.019 | 9.87 | 29 | 67.7 | 3.2 | 0 | 3,468 | 1,002 | competitive | 0.0055 | 1.27 | 11 | 72 | 17 | 0 | 7,782 | 5,019 | competitive | 0.0037 | 0.32 | 8 | 61 | 31 | 0 | 0.135 | 0.545 | -0.135 | -0.545 | 100 | 101 | 272 | 638 | 881 | 0.8714 | 0.6976 | 0.5855 | 0.7094 | 0.3928 | 53 | 1.12 | 1,871 | 15.8 | 0.7016 | 2.8 | 0.78 | -1,218 | 14.8 | -0.3106 | competitive | 0.0035 | 0.2 | 0 | 74 | 26 | 0 | 0.7335 | 2.3 | 0.94 | 0.1164 | 0.5246 | -0.1164 | -0.5246 | 100 | 101 | 738 | 2,051 | 2,139 | 0.8758 | 0.6573 | 0.643 | 0.6653 | 0.4004 | 54.8 | 1.37 | 1,875 | 18.3 | 0.7269 | 1 | 0.53 | -1,222 | 12.3 | -0.3359 | competitive | 0.0035 | 0.0003 | 1.11 | 0.26 | 0.7404 | 0.059 | 0.2307 | -0.059 | -0.2307 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | 14.7 | 0.96 | 122 | -0.0685 | 0.8636 | 0.6544 | 0.7461 | 0.6656 | 0.3717 | 106,941 | 0.7656 | 10.2 | 272,917 | 200,724 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | 12.9 | -0.55 | 143 | -0.0303 | 0.7757 | 0.1491 | 0.6481 | 0.6595 | 0.4397 | 348 | 56.49 | 22.21 | 0.6033 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3314 | 3,314.04 | 0.47 | 21,175 | 7 | 0.0885 | 885.24 | 3.6 | 312.5 | 0.31 | 99.01 | 0.13 | 99.01 | 0.12 | 99.01 | 0.12 | 99.01 | -16.8 | -1.93 | 48 | -38.3 | -16.7 | null | null | null | null | null | 0 | 18,916 | -0.022 | 0.71 | 210,004 | 0.713 | 0.21 | -116,227 | 0.158 | 0.65 | 280,198 | 0.624 | 0.19 | -152,464 | 0.212 | 0.76 | 185,418 | 0.749 | 0.19 | -398 | 0.19 | 0.73 | 272 | 0.871 | 0.16 | -759 | 0.136 | 0.74 | 738 | 0.876 | 0.391 | null | null | 607 | 0.1 | 3 | 0.773 | 0.856 | stable | 0.1 | 0.7 | 3 | 3 | 8 | 21 | 0.834 | 0.839 | 0.839 | 0.773 | 0.856 | 104,497 | 109,172 | 109,042 | 7 | 12 | stable | 0.03 | null | 77.81 |
JHXCJ6AJ | Panda Express | Food and Drink | Restaurants | Chinese restaurant | "Chinese restaurant, Asian restaurant, Caterer, Chinese noodle restaurant, Chinese takeaway, Deliver(...TRUNCATED) | 2820 Central Ave SE, Albuquerque, NM 87106 | 2820 Central Ave SE | Albuquerque | New Mexico | University Heights | University Hts | 87,106 | US | true | 35.08079 | -106.613846 | America/Denver | (505) 23*-**** | 1 | OPERATIONAL | true | true | null | true | Albuquerque | New Mexico | US | https | https://pandaexpress.com/locations/nm/albuquerque/662 | pandaexpress.com/locations/nm/albuquerque/662 | pandaexpress.com | com | 10,543 | 1997-05-28 | 2026-05-27 | Lexsynergy Limited | "purchase_dataset@pandarg.com, purchase_dataset@pandarg.com, purchase_dataset@pandaexpress.com.mx, p(...TRUNCATED) | realdomain | 11 | 2 | 9 | Fast-food chain for Chinese standards, including some health-conscious options. | true | true | 3.75 | 678 | {"1": 106, "2": 46, "3": 91, "4": 161, "5": 336} | Delivery, Onsite services, Takeout, Dine-in | null | Lunch, Dinner, Solo dining | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | Comfort food, Quick bite, Small plates, Vegetarian options | Lunch, Dinner, Catering, Counter service, Seating | Restroom | Casual, Trendy | College students, Family-friendly, Groups, Tourists | null | Credit cards, Debit cards, NFC mobile payments | Good for kids, High chairs, Kids' menu | true | true | purchase_dataset@ | true | true | 5 | 2022-08-02 | 2026-03-03 | 1,346 | 37 | 94 | 1,346 | 1,346 | 37 | 37 | https://www.instagram.com/officialpandaexpress | officialpandaexpress | https://www.facebook.com/profile.php?id=115951195094921 | 115951195094921 | https://twitter.com/pandaexpress | pandaexpress | https://www.tiktok.com/@officialpandaexpress | officialpandaexpress | null | null | null | null | null | null | null | null | https://www.pinterest.com/pandaexpress | pandaexpress | 334,645 | 0.83 | null | 0.93 | 0.83 | 0.83 | 1,706 | 131,200 | 390 | 2,100,000 | 2.55 | null | 3.09 | 1.38 | 1.34 | https://order.pandaexpress.com/location/college-plaza-px/menu | null | null | 2026-04-09T08:28:57.063792+00:00 | 59.27 | 1.06 | 0 | 3,392.71 | 18.7 | 87.5217 | 2.29 | 75 | 94.4 | 66.4 | 0.3316 | null | -0.3333 | 0.5 | 0.2564 | 0.4543 | 0.6881 | 0.5476 | 33.3 | 62.8 | null | null | null | 33.33 | 66.67 | 0 | 75 | 16.67 | 8.33 | 62.86 | 28.57 | 8.57 | stable | declining | null | -29.5 | -0.5897 | -47 | 0 | 3 | 12 | 35 | -50 | -65.7 | -100 | 60.5 | 27.4 | 80 | 83 | 22.7 | 46 | 605 | 2,943 | 948 | 1,381 | 8,413 | 2,093 | 172,585 | 1,126,819 | 245,235 | 185,166 | 605 | 265,136 | 91 | 251,766 | 132,353 | 101 | 72,653 | 230,480 | 101 | 114,184 | 1,238 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.6942 | 0.2103 | 0.5069 | -0.2103 | -1.5069 | 0.6823 | 0.0245 | 0.2378 | -0.0245 | -1.2378 | 0.8114 | 0.1285 | 0.4183 | -0.1285 | -1.4183 | 100 | 90 | 100 | 265,136 | 176,220 | 251,766 | 0.6388 | 0.7604 | 0.6621 | 0.7905 | 0.4543 | 43.6 | 1.29 | 647 | 25.9 | 0.4728 | 3.9 | 0.56 | 90 | 2.6 | -0.1412 | 132,353 | 220,720 | 72,653 | 0.8214 | 0.7055 | 0.9041 | 0.5816 | 0.6881 | 52.1 | 1.28 | 1,749 | 17.2 | 0.6211 | -4.6 | 0.57 | -1,012 | 11.3 | -0.2895 | 230,480 | 332,680 | 114,184 | 0.6852 | Strong | 0.5524 | 0.8478 | 0.4312 | 0.5476 | Market Leader | 51.6 | 0.95 | 1,824 | 12.3 | Strong | 0.6336 | -4.1 | 0.9 | -1,087 | 16.2 | -0.302 | 91 | 101 | 101 | 627 | 37 | competitive | 0.0125 | 28.65 | 34.4 | 55.6 | 10 | 0 | 3,610 | 1,102 | competitive | 0.0042 | 1.27 | 5 | 64 | 31 | 0 | 7,609 | 5,078 | competitive | 0.004 | 0.32 | 1 | 80 | 19 | 0 | 0.1251 | 0.5454 | -0.1251 | -1.5454 | 100 | 101 | 690 | 656 | 799 | 0.6726 | 0.6905 | 0.6241 | 0.6901 | 0.3415 | 53 | 1.12 | 1,868 | 15.8 | 0.7035 | -5.5 | 0.73 | -1,131 | 12.7 | -0.3719 | competitive | 0.0039 | 0.2 | 0 | 74 | 26 | 0 | 0.6634 | 2.3 | 0.94 | 0.1164 | 0.5215 | -0.1164 | -1.5215 | 100 | 101 | 1,748 | 2,066 | 1,960 | 0.7064 | 0.6538 | 0.6722 | 0.653 | 0.3495 | 54.7 | 1.34 | 1,888 | 17.8 | 0.7265 | -7.2 | 0.51 | -1,151 | 10.7 | -0.3949 | competitive | 0.0039 | 0.0003 | 1.11 | 0.26 | 0.6804 | 0.059 | 0.2307 | -0.059 | -1.2307 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | 6.4 | 0.91 | 206 | -0.1279 | 0.6918 | 0.6495 | 0.7745 | 0.6547 | 0.321 | 241,767 | 0.7039 | 8.1 | 276,824 | 178,302 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | 10.4 | -0.58 | 214 | -0.0911 | 0.705 | 0.144 | 0.6797 | 0.6538 | 0.3872 | 462 | 56.49 | 21.29 | 0.5862 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3308 | 3,308.35 | 0.47 | 21,175 | 7 | 0.0891 | 891.42 | 1.56 | 109.89 | 0.18 | 99.01 | 0.16 | 99.01 | 0.15 | 99.01 | 0.15 | 99.01 | -23.1 | -1.9 | 60 | -37.8 | -17.7 | null | null | null | null | null | 0.13 | -123,697 | 0.174 | 0.68 | 265,135 | 0.639 | 0.1 | -85,572 | 0.119 | 0.81 | 132,351 | 0.821 | 0.11 | -56,317 | 0.081 | 0.69 | 230,474 | 0.685 | 0.16 | -145 | 0.071 | 0.66 | 690 | 0.673 | 0.13 | -147 | 0.036 | 0.68 | 1,748 | 0.706 | 0.3316 | null | null | 678 | 0.03 | 1 | 0.227 | 0.369 | decelerating | 0.03 | 0.23 | 1 | 1 | 4 | 24 | 0.507 | 0.515 | 0.517 | 0.227 | 0.369 | 253,363 | 266,224 | 265,236 | 21 | 38 | decelerating | 0.03 | null | 75.74 |
RKN2EV59 | Panda Express | Food and Drink | Restaurants | Chinese restaurant | "Chinese restaurant, Asian restaurant, Caterer, Chinese noodle restaurant, Chinese takeaway, Deliver(...TRUNCATED) | 3601 Bosque Plaza Ln NW, Albuquerque, NM 87120 | 3601 Bosque Plaza Ln NW | Albuquerque | New Mexico | Taylor Ranch | Taylor Ranch | 87,120 | US | true | 35.159187 | -106.679027 | America/Denver | (505) 89*-**** | 1 | OPERATIONAL | true | true | null | true | Albuquerque | New Mexico | US | https | https://pandaexpress.com/locations/nm/albuquerque/1338 | pandaexpress.com/locations/nm/albuquerque/1338 | pandaexpress.com | com | 10,543 | 1997-05-28 | 2026-05-27 | Lexsynergy Limited | "purchase_dataset@pandarg.com, purchase_dataset@pandarg.com, purchase_dataset@pandaexpress.com.mx, p(...TRUNCATED) | realdomain | 9 | 2 | 7 | Fast-food chain for Chinese standards, including some health-conscious options. | true | true | 3.4 | 472 | {"1": 116, "2": 29, "3": 62, "4": 77, "5": 187} | Outdoor seating, Curbside pickup, Delivery, Drive-through, Onsite services, Takeout, Dine-in | null | Lunch, Dinner, Solo dining | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | Comfort food, Quick bite, Small plates | Lunch, Dinner, Catering, Counter service, Seating | Restroom | Casual | College students, Groups, Tourists | null | Credit cards, Debit cards, NFC mobile payments | Good for kids, High chairs, Kids' menu | true | true | purchase_dataset@ | true | true | 4 | 2022-08-02 | 2026-03-03 | 1,346 | 37 | 94 | 1,346 | 1,346 | 37 | 37 | https://www.instagram.com/officialpandaexpress | officialpandaexpress | null | null | https://twitter.com/pandaexpress | pandaexpress | https://www.tiktok.com/@officialpandaexpress | officialpandaexpress | null | null | null | null | null | null | null | null | https://www.pinterest.com/pandaexpress | pandaexpress | 334,645 | 0.83 | null | 0.93 | 0.83 | 0.83 | 1,706 | 131,200 | 390 | 2,100,000 | 2.55 | null | 3.09 | 1.38 | 1.34 | https://order.pandaexpress.com/location/coors-la-orilla-px/menu | null | null | 2026-04-09T08:27:22.665836+00:00 | 59.27 | 1.06 | 0 | 3,399.2 | 23.3 | 87.5217 | 2.29 | 68 | 89.2 | 55.9 | 0.1709 | null | 0.2 | -0.3816 | -0.2346 | 0.6345 | 0.2363 | 0.5883 | 60 | 38.3 | null | null | null | 60 | 40 | 0 | 31.58 | 68.42 | 0 | 38.64 | 61.36 | 0 | stable | improving | null | 21.7 | 0.4346 | 56.7 | 0 | 5 | 19 | 44 | -47.4 | -54.5 | -100 | 59.4 | 27.4 | 72 | 83 | 44.1 | 46 | 772 | 3,273 | 1,265 | 1,851 | 9,326 | 2,940 | 241,998 | 1,231,683 | 358,371 | 259,544 | 772 | 222,940 | 18 | 197,504 | 342,600 | 101 | 252,041 | 176,176 | 101 | 101,807 | 1,466 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.7647 | 0.1221 | 0.4817 | -0.1221 | -0.815 | 0.6278 | 0.0953 | 0.3306 | -0.0953 | -0.6639 | 0.6072 | 0.0422 | 0.2243 | -0.0422 | -0.5576 | 100 | 17 | 100 | 222,940 | 420,715 | 197,504 | 0.6957 | 0.4303 | 0.7349 | 0.4598 | 0.6345 | 44.5 | 0.62 | 727 | 14.3 | 0.5263 | 4.3 | 1.16 | -259 | 13.3 | -0.3554 | 342,600 | 273,473 | 252,041 | 0.5411 | 0.6353 | 0.6672 | 0.5733 | 0.2363 | 47.8 | 1.1 | 1,090 | 16.9 | 0.485 | 1 | 0.68 | -622 | 10.7 | -0.3141 | 176,176 | 245,840 | 101,807 | 0.7617 | Average | 0.6693 | 0.8643 | 0.5543 | 0.5883 | Average | 52.9 | 1.23 | 1,885 | 16 | Strong | 0.6456 | -4.1 | 0.55 | -1,417 | 11.6 | -0.4747 | 18 | 101 | 101 | 459 | 72 | competitive | 0.0365 | 5.41 | 35.3 | 58.8 | 5.9 | 0 | 3,616 | 1,058 | competitive | 0.0043 | 1.27 | 20 | 67 | 13 | 0 | 7,752 | 5,046 | competitive | 0.0025 | 0.32 | 1 | 72 | 27 | 0 | 0.1251 | 0.5466 | -0.1251 | -0.8799 | 100 | 101 | 597 | 665 | 1,085 | 0.7179 | 0.6868 | 0.4889 | 0.6849 | 0.2096 | 53.1 | 1.12 | 1,871 | 15.8 | 0.7017 | -4.3 | 0.66 | -1,403 | 11.8 | -0.5308 | competitive | 0.0025 | 0.2 | 0 | 74 | 26 | 0 | 0.6398 | 2.3 | 0.94 | 0.1164 | 0.5247 | -0.1164 | -0.858 | 100 | 101 | 1,512 | 2,103 | 2,760 | 0.7436 | 0.648 | 0.5391 | 0.6475 | 0.2023 | 54.6 | 1.34 | 1,888 | 17.7 | 0.7265 | -5.8 | 0.44 | -1,420 | 9.9 | -0.5556 | competitive | 0.0025 | 0.0003 | 1.11 | 0.26 | 0.6536 | 0.059 | 0.2307 | -0.059 | -0.564 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | 7.7 | 0.84 | -63 | -0.2886 | 0.728 | 0.643 | 0.6681 | 0.6504 | 0.219 | 213,250 | 0.6845 | 7.2 | 281,989 | 262,415 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | 2.6 | -0.96 | 8 | -0.2524 | 0.4605 | 0.0891 | 0.5862 | 0.6387 | 0.2495 | 848 | 56.49 | 13.04 | 0.4681 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3315 | 3,314.68 | 0.47 | 21,175 | 7 | 0.0892 | 891.68 | 13.3 | 555.56 | 0.18 | 99.01 | 0.06 | 99.01 | 0.06 | 99.01 | 0.06 | 99.01 | -18.4 | -1.62 | -4 | -28.3 | -38.1 | null | null | null | null | null | -0.09 | 78,429 | -0.103 | 0.63 | 222,939 | 0.696 | 0.18 | -78,802 | 0.109 | 0.61 | 342,599 | 0.541 | 0.15 | -136,286 | 0.191 | 0.76 | 176,163 | 0.762 | 0.24 | -447 | 0.215 | 0.64 | 597 | 0.718 | 0.21 | -1,049 | 0.19 | 0.65 | 1,512 | 0.744 | 0.1709 | null | null | 472 | 0.03 | 1 | 0.227 | 0.369 | decelerating | 0.03 | 0.23 | 1 | 1 | 6 | 28 | 0.507 | 0.515 | 0.517 | 0.227 | 0.369 | 253,363 | 266,224 | 265,236 | 21 | 38 | decelerating | 0.03 | null | 69.3 |
99E5R9CV | Panda Express | Food and Drink | Restaurants | Chinese restaurant | "Chinese restaurant, Asian restaurant, Caterer, Chinese noodle restaurant, Chinese takeaway, Deliver(...TRUNCATED) | 6600 Menaul Blvd NE #40 - 1, Albuquerque, NM 87110 | 6600 Menaul Blvd NE #40 - 1 | Albuquerque | New Mexico | Uptown | Uptown | 87,110 | US | true | 35.106412 | -106.574859 | America/Denver | (505) 88*-**** | 1 | OPERATIONAL | true | true | null | true | Albuquerque | New Mexico | US | https | https://pandaexpress.com/locations/nm/albuquerque/170 | pandaexpress.com/locations/nm/albuquerque/170 | pandaexpress.com | com | 10,543 | 1997-05-28 | 2026-05-27 | Lexsynergy Limited | "purchase_dataset@pandarg.com, purchase_dataset@pandarg.com, purchase_dataset@pandaexpress.com.mx, p(...TRUNCATED) | realdomain | 11 | 2 | 9 | Fast-food chain for Chinese standards, including some health-conscious options. | true | true | 3.93 | 535 | {"1": 64, "2": 31, "3": 79, "4": 137, "5": 286} | Delivery, Onsite services, Takeout, Dine-in | null | Lunch, Dinner, Solo dining | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | Comfort food, Healthy options, Quick bite, Small plates | Lunch, Dinner, Catering, Seating | Restroom | Casual | College students, Family-friendly, Groups, Tourists | null | Credit cards, Debit cards, NFC mobile payments | Good for kids, High chairs, Kids' menu | true | true | purchase_dataset@ | true | true | 5 | 2022-08-02 | 2026-03-03 | 1,346 | 37 | 94 | 1,346 | 1,346 | 37 | 37 | https://www.instagram.com/officialpandaexpress | officialpandaexpress | https://www.facebook.com/pages/panda-express/111684318866910 | pages/panda-express/111684318866910 | https://twitter.com/pandaexpress | pandaexpress | https://www.tiktok.com/@officialpandaexpress | officialpandaexpress | null | null | null | null | null | null | null | null | https://www.pinterest.com/pandaexpress | pandaexpress | 334,645 | 0.83 | null | 0.93 | 0.83 | 0.83 | 1,706 | 131,200 | 390 | 2,100,000 | 2.55 | null | 3.09 | 1.38 | 1.34 | https://order.pandaexpress.com/location/coronado-px/menu | null | null | 2026-04-09T08:26:40.585006+00:00 | 59.27 | 1.06 | 0 | 3,385.39 | 18.7 | 87.5217 | 2.29 | 78.6 | 91 | 71.6 | 0.4405 | null | -0.5 | 0.0769 | 0.237 | 0.2815 | 0.6928 | 0.6219 | 25 | 61.9 | null | null | null | 25 | 75 | 0 | 53.85 | 46.15 | 0 | 65.38 | 34.62 | 0 | stable | declining | null | -36.9 | -0.737 | -59.6 | 0 | 4 | 13 | 26 | -38.5 | -38.5 | -100 | 62 | 27.4 | 80 | 83 | 24.9 | 46 | 726 | 2,704 | 1,179 | 1,703 | 7,742 | 2,678 | 218,511 | 1,046,241 | 319,097 | 233,927 | 726 | 455,896 | 92 | 163,533 | 166,974 | 101 | 75,580 | 148,389 | 101 | 146,839 | 1,116 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.772 | 0.152 | 0.5073 | -0.152 | -1.5073 | 0.5573 | 0.0661 | 0.2068 | -0.0661 | -1.2068 | 0.7403 | 0.1983 | 0.4602 | -0.1983 | -1.4602 | 100 | 91 | 100 | 455,896 | 320,095 | 163,533 | 0.3831 | 0.5665 | 0.7805 | 0.5245 | 0.2815 | 40 | 0.85 | 788 | 16.1 | 0.4199 | 7.5 | 0.98 | -192 | 12.9 | 0.0206 | 166,974 | 348,856 | 75,580 | 0.7742 | 0.5352 | 0.9002 | 0.4879 | 0.6928 | 51.2 | 0.89 | 1,724 | 14 | 0.6225 | -3.7 | 0.94 | -1,128 | 15 | -0.182 | 148,389 | 220,075 | 146,839 | 0.7988 | Average | 0.7038 | 0.8043 | 0.6214 | 0.6219 | Strong | 53.8 | 1.33 | 1,685 | 18.6 | Strong | 0.6549 | -6.3 | 0.5 | -1,089 | 10.4 | -0.2144 | 92 | 101 | 101 | 561 | 12 | competitive | 0.0082 | 28.97 | 47.3 | 46.2 | 6.6 | 0 | 3,441 | 1,001 | competitive | 0.0034 | 1.27 | 2 | 78 | 20 | 0 | 6,975 | 5,063 | competitive | 0.0035 | 0.32 | 3 | 66 | 31 | 0 | 0.1251 | 0.5464 | -0.1251 | -1.5464 | 100 | 101 | 670 | 648 | 928 | 0.6811 | 0.6943 | 0.5629 | 0.7009 | 0.4409 | 52.8 | 1.08 | 1,864 | 15.4 | 0.7026 | -5.3 | 0.75 | -1,268 | 13.6 | -0.2621 | competitive | 0.0032 | 0.2 | 0 | 75 | 25 | 0 | 0.6496 | 2.3 | 0.94 | 0.1164 | 0.5247 | -0.1164 | -1.5247 | 100 | 101 | 1,730 | 2,083 | 2,316 | 0.7086 | 0.6518 | 0.6131 | 0.6588 | 0.4552 | 54.6 | 1.34 | 1,888 | 17.7 | 0.7265 | -7.1 | 0.49 | -1,292 | 11.3 | -0.286 | competitive | 0.0031 | 0.0003 | 1.11 | 0.26 | 0.6629 | 0.059 | 0.2307 | -0.059 | -1.2307 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | 6.4 | 0.89 | 65 | -0.019 | 0.6918 | 0.6475 | 0.7247 | 0.6576 | 0.4174 | 241,767 | 0.6884 | 8.6 | 278,293 | 217,686 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | 8.3 | -0.26 | 71 | 0.0279 | 0.6399 | 0.2306 | 0.6128 | 0.6582 | 0.4915 | 566 | 56.49 | 28.23 | 0.741 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3301 | 3,301.21 | 0.47 | 21,175 | 7 | 0.0892 | 891.68 | 0.68 | 108.7 | 0.12 | 99.01 | 0.12 | 99.01 | 0.1 | 99.01 | 0.1 | 99.01 | -23.3 | -2.1 | 62 | -42.5 | -5.4 | null | null | null | null | null | 0.16 | -74,849 | 0.108 | 0.56 | 455,895 | 0.383 | -0.01 | 2,661 | 0.001 | 0.74 | 166,969 | 0.774 | 0.15 | -131,862 | 0.186 | 0.77 | 148,384 | 0.799 | 0.14 | -148 | 0.072 | 0.65 | 670 | 0.681 | 0.11 | -125 | 0.032 | 0.66 | 1,730 | 0.709 | 0.4405 | null | null | 535 | 0.03 | 1 | 0.227 | 0.369 | decelerating | 0.03 | 0.23 | 1 | 1 | 4 | 22 | 0.507 | 0.515 | 0.517 | 0.227 | 0.369 | 253,363 | 266,224 | 265,236 | 21 | 38 | decelerating | 0.03 | null | 83.08 |
H6TE8S29 | Panda Express | Food and Drink | Restaurants | Chinese restaurant | "Chinese restaurant, Asian restaurant, Caterer, Chinese noodle restaurant, Chinese takeaway, Deliver(...TRUNCATED) | 2040 Gibson Blvd SE, Albuquerque, NM 87106 | 2040 Gibson Blvd SE | Albuquerque | New Mexico | Kirtland Community | Kirtland Community | 87,106 | US | true | 35.058121 | -106.623875 | America/Denver | (505) 49*-**** | 0 | OPERATIONAL | true | false | null | true | Albuquerque | New Mexico | US | https | https://pandaexpress.com/locations/nm/albuquerque/3857 | pandaexpress.com/locations/nm/albuquerque/3857 | pandaexpress.com | com | 10,543 | 1997-05-28 | 2026-05-27 | Lexsynergy Limited | "purchase_dataset@pandarg.com, purchase_dataset@pandarg.com, purchase_dataset@pandarg.com, purchase_(...TRUNCATED) | null | 9 | 1 | 8 | null | true | false | 3.26 | 35 | {"1": 13, "2": 2, "3": 5, "4": 5, "5": 17} | Delivery, Drive-through, Onsite services, Takeout, Dine-in | null | Lunch, Dinner, Solo dining | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | Comfort food, Quick bite, Small plates | Lunch, Dinner, Catering, Seating | Restroom | Casual | Groups, Tourists | null | Credit cards, Debit cards, NFC mobile payments | Good for kids, High chairs, Kids' menu | true | true | purchase_dataset@ | true | true | 4 | 2025-11-06 | 2026-02-14 | 154 | 54 | 24 | 154 | 154 | 54 | 54 | https://www.instagram.com/officialpandaexpress | officialpandaexpress | https://www.facebook.com/130207957028256 | 130207957028256 | https://twitter.com/pandaexpress | pandaexpress | null | null | null | null | null | null | null | null | null | null | https://www.pinterest.com/pandaexpress | pandaexpress | 334,645 | 0.83 | null | 0.93 | 0.83 | 0.83 | 1,706 | null | null | null | null | null | null | null | null | null | null | null | 2026-04-09T08:26:19.802600+00:00 | 59.27 | 2.13 | 0 | 3,344.99 | 23.4 | 87.5217 | 2.3 | 65.2 | 51.9 | 51.4 | 0.0347 | null | -0.2646 | 0.0483 | 0.0347 | 0.221 | 0.7288 | 0.4622 | 36.8 | 51.7 | null | null | null | 30.77 | 61.54 | 7.69 | 51.85 | 44.44 | 3.7 | 51.43 | 45.71 | 2.86 | stable | declining | null | -14.9 | -0.2993 | -28.8 | 0 | 13 | 27 | 35 | -3.7 | 48.6 | -100 | 48.6 | 32.8 | 60 | 50 | 29.8 | 46 | 1,339 | 3,365 | 2,810 | 3,605 | 9,573 | 7,546 | 546,479 | 1,258,813 | 1,009,242 | 588,002 | 1,339 | 205,627 | 25 | 46,272 | 132,353 | 101 | 179,812 | 208,674 | 101 | 111,776 | 1,524 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.7224 | 0.1485 | 0.4621 | -0.1485 | -1.122 | 0.7913 | 0.07 | 0.275 | -0.07 | -0.9349 | 0.7711 | 0.0748 | 0.3695 | -0.0748 | -1.0294 | 100 | 24 | 100 | 205,627 | 190,669 | 46,272 | 0.719 | 0.7412 | 0.938 | 0.5513 | 0.221 | 44.9 | 1.24 | 1,229 | 16.9 | 0.3974 | -8.5 | 0.19 | -1,193 | 2.5 | -0.3627 | 132,353 | 215,278 | 179,812 | 0.8214 | 0.7126 | 0.7625 | 0.6532 | 0.7288 | 52.1 | 1.3 | 1,261 | 20 | 0.6344 | -15.7 | 0.13 | -1,225 | -0.6 | -0.5997 | 208,674 | 295,492 | 111,776 | 0.7155 | Strong | 0.6029 | 0.851 | 0.5039 | 0.4622 | Strong | 52 | 1.06 | 1,835 | 14.3 | Strong | 0.6071 | -15.6 | 0.37 | -1,799 | 5.1 | -0.5724 | 25 | 101 | 101 | 477 | 68 | competitive | 0.0012 | 7.64 | 45.8 | 33.3 | 20.8 | 0 | 3,383 | 1,071 | competitive | 0.0003 | 1.27 | 3 | 71 | 26 | 0 | 7,851 | 5,078 | competitive | 0.0002 | 0.32 | 2 | 74 | 24 | 0 | 0.1251 | 0.549 | -0.1251 | -1.2089 | 100 | 101 | 1,448 | 727 | 1,750 | 0.3151 | 0.6566 | 0.1733 | 0.6439 | 0.1107 | 53.1 | 1.12 | 1,873 | 15.8 | 0.7014 | -16.7 | 0.31 | -1,837 | 3.6 | -0.6667 | competitive | 0.0002 | 0.2 | 0 | 74 | 26 | 0 | 0.375 | 2.3 | 0.94 | 0.1164 | 0.5247 | -0.1164 | -1.1846 | 100 | 101 | 3,628 | 2,296 | 4,814 | 0.3916 | 0.6151 | 0.1941 | 0.6044 | 0.1088 | 54.6 | 1.34 | 1,888 | 17.7 | 0.7265 | -18.2 | 0.09 | -1,852 | 1.7 | -0.6918 | competitive | 0.0002 | 0.0003 | 1.11 | 0.26 | 0.3994 | 0.059 | 0.2307 | -0.059 | -0.8906 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | -4.7 | 0.49 | -495 | -0.4248 | 0.3703 | 0.6183 | 0.2587 | 0.6128 | 0.1703 | 496,537 | 0.4112 | -1 | 301,654 | 585,362 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | -3.2 | -1.41 | -429 | -0.2735 | 0.3209 | 0.0493 | 0.2609 | 0.6064 | 0.2306 | 1,074 | 56.49 | 2.13 | 0.3708 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3317 | 3,317.46 | 0.47 | 21,175 | 7 | 0.0892 | 891.68 | 0.01 | 400 | 0 | 99.01 | 0 | 99.01 | 0 | 99.01 | 0 | 99.01 | -21.2 | -1.78 | 2 | -30.6 | -33.7 | null | null | null | null | null | 0.14 | -37,836 | 0.056 | 0.79 | 205,626 | 0.719 | 0.06 | -95,201 | 0.132 | 0.77 | 132,349 | 0.821 | 0.18 | -140,950 | 0.195 | 0.72 | 208,647 | 0.716 | 0.18 | -97 | 0.047 | 0.38 | 1,448 | 0.315 | 0.18 | -458 | 0.098 | 0.4 | 3,628 | 0.392 | 0.0347 | null | null | 35 | 0.07 | 2 | 0.568 | 0.676 | decelerating | 0.07 | 0.47 | 2 | 2 | 11 | 21 | 0.732 | 0.739 | 0.74 | 0.568 | 0.676 | 156,567 | 163,872 | 163,540 | 12 | 18 | decelerating | -0.1 | null | 54.55 |
FRBPHTRX | Chinshan Chinese Restaurant | Food and Drink | Restaurants | Chinese restaurant | Chinese restaurant | 2010 Wyoming Blvd NE, Albuquerque, NM 87112 | 2010 Wyoming Blvd NE | Albuquerque | New Mexico | North Easterns | North Eastern | 87,112 | US | true | 35.104166 | -106.549292 | America/Denver | (505) 80*-**** | 2 | CLOSED_TEMPORARILY | false | true | null | true | Albuquerque | New Mexico | US | https | https://selflane.com/bizs/chinshan-restaurant_albuquerque_nm | selflane.com/bizs/chinshan-restaurant_albuquerque_nm | selflane.com | com | 4,093 | 2015-01-24 | 2031-01-24 | GoDaddy.com, LLC | "purchase_dataset@gmail.com, purchase_dataset@selflane.com, purchase_dataset@selflane.com, purchase_(...TRUNCATED) | realdomain | 6 | 5 | 1 | null | true | false | 4.45 | 445 | {"1": 25, "2": 11, "3": 22, "4": 67, "5": 318} | Onsite services, Takeout | null | null | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | Comfort food, Small plates, Vegetarian options | Lunch, Dinner, Counter service, Seating | Restroom | null | Family-friendly | null | Debit cards, NFC mobile payments | Good for kids, High chairs | false | true | purchase_dataset@ | true | true | 5 | 2022-10-26 | 2026-02-21 | 1,261 | 47 | 101 | 1,261 | 1,261 | 47 | 47 | https://www.instagram.com/selflane4foodies | selflane4foodies | https://www.facebook.com/selflane | selflane | https://twitter.com/jihunhong1 | jihunhong1 | https://www.tiktok.com/@selflane4foodies | selflane4foodies | null | null | null | null | null | null | null | null | null | null | 2,264 | 0.51 | null | 0.84 | 0.81 | 0.51 | 341 | 405 | 48 | 3,603 | 3.42 | null | 5.45 | 5.45 | 4.59 | https://selflane.com/bizs/chinshan-restaurant_albuquerque_nm | null | null | 2026-04-09T08:26:00.065760+00:00 | 0.4 | 0 | 0.5 | 3,427.38 | 18.7 | 87.5217 | 2.29 | 89 | 88.3 | 87 | 0.7417 | null | null | null | 1 | 0.54 | 0.6031 | 0.5976 | null | 100 | null | null | null | null | null | null | null | null | null | 100 | 0 | 0 | stable | stable | null | null | null | null | 0 | 0 | 0 | 3 | null | -100 | null | 68.3 | 19.5 | 92 | 67 | 50 | 46 | 799 | 1,460 | 1,316 | 1,910 | 4,272 | 3,065 | 252,391 | 576,538 | 376,057 | 270,609 | 799 | 265,136 | 32 | 160,665 | 184,839 | 101 | 77,872 | 179,132 | 101 | 122,934 | 495 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.7503 | 0.1885 | 0.4805 | -0.1885 | -0.4805 | 0.6578 | 0.2418 | 0.3 | -0.2418 | -0.3 | 0.7282 | 0.166 | 0.415 | -0.166 | -0.415 | 100 | 31 | 100 | 265,136 | 327,576 | 160,665 | 0.6388 | 0.5564 | 0.7844 | 0.4674 | 0.54 | 43.6 | 0.83 | 794 | 14.5 | 0.4976 | -5.6 | -0.76 | -351 | -13.1 | 0.2465 | 184,839 | 352,666 | 77,872 | 0.75 | 0.5302 | 0.8972 | 0.4554 | 0.6031 | 50.8 | 0.88 | 1,705 | 13 | 0.5947 | -12.8 | -0.81 | -1,262 | -11.6 | 0.1494 | 179,132 | 256,560 | 122,934 | 0.7575 | Strong | 0.6549 | 0.8361 | 0.594 | 0.5976 | Strong | 52.8 | 1.19 | 1,785 | 17.5 | Strong | 0.6482 | -14.8 | -1.12 | -1,342 | -16.1 | 0.0959 | 32 | 101 | 101 | 563 | 2 | competitive | 0.0177 | 9.87 | 32.3 | 61.3 | 6.5 | 0 | 3,168 | 1,177 | competitive | 0.0026 | 1.27 | 3 | 77 | 20 | 0 | 7,234 | 5,056 | competitive | 0.0025 | 0.32 | 3 | 70 | 27 | 0 | 0.135 | 0.545 | -0.135 | -0.545 | 100 | 101 | 1,344 | 1,827 | 1,130 | 0.366 | 0.1215 | 0.4673 | 0.1729 | 0.8191 | 53 | 1.12 | 1,871 | 15.8 | 0.7016 | -15 | -1.05 | -1,428 | -14.4 | 0.0425 | competitive | 0.0024 | 0.2 | 0 | 74 | 26 | 0 | 0.323 | 2.3 | 0.94 | 0.1114 | 0.5279 | -0.1114 | -0.5279 | 100 | 101 | 3,409 | 5,127 | 2,870 | 0.4283 | 0.1269 | 0.5191 | 0.2327 | 0.8097 | 54.8 | 1.37 | 1,881 | 18.3 | 0.7269 | -16.8 | -1.3 | -1,438 | -16.9 | 0.0172 | competitive | 0.0024 | 0.0003 | 1.11 | 0.26 | 0.3651 | 0.059 | 0.2307 | -0.059 | -0.2307 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | -3.1 | -0.87 | -88 | 0.2846 | 0.4124 | 0.2364 | 0.6552 | 0.2879 | 0.7993 | 463,090 | 0.4325 | -19 | 580,639 | 272,587 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | 4.7 | 0.79 | -19 | 0.3214 | 0.5155 | 0.7056 | 0.5704 | 0.2331 | 0.8395 | 756 | 56.49 | 34.73 | 0.897 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3314 | 3,314.04 | 0.47 | 21,175 | 7 | 0.0888 | 888.13 | 3.13 | 312.5 | 0.07 | 99.01 | 0.06 | 99.01 | 0.06 | 99.01 | 0.06 | 99.01 | -32.4 | -4.38 | -2 | -85.6 | 0 | null | null | null | null | null | -0.04 | 60,609 | -0.078 | 0.66 | 265,135 | 0.639 | 0.04 | -28,018 | 0.041 | 0.73 | 184,837 | 0.75 | 0.14 | -114,287 | 0.162 | 0.75 | 179,130 | 0.758 | -0.27 | 489 | -0.225 | 0.32 | 1,344 | 0.366 | -0.28 | 1,472 | -0.234 | 0.37 | 3,409 | 0.428 | 0.7441 | null | null | 446 | 0 | 0 | 0 | 0 | stable | 0 | 0 | 0 | 0 | 0 | 3 | null | null | null | 0 | 0 | null | null | null | 36 | 72 | stable | null | null | 91.22 |
FPHYW64A | Panda Express | Food and Drink | Restaurants | Chinese restaurant | "Chinese restaurant, Asian restaurant, Caterer, Chinese noodle restaurant, Chinese takeaway, Deliver(...TRUNCATED) | 4100 Central Ave SW Suite 101, Albuquerque, NM 87105 | 4100 Central Ave SW Suite 101 | Albuquerque | New Mexico | La Vida Nueva | null | 87,105 | US | true | 35.085338 | -106.684745 | America/Denver | (505) 83*-**** | 1 | OPERATIONAL | true | true | null | true | Albuquerque | New Mexico | US | https | https://pandaexpress.com/locations/nm/albuquerque/2920 | pandaexpress.com/locations/nm/albuquerque/2920 | pandaexpress.com | com | 10,543 | 1997-05-28 | 2026-05-27 | Lexsynergy Limited | "purchase_dataset@pandarg.com, purchase_dataset@pandarg.com, purchase_dataset@pandaexpress.com.mx, p(...TRUNCATED) | realdomain | 12 | 2 | 10 | Fast-food chain for Chinese standards, including some health-conscious options. | true | true | 3.7 | 640 | {"1": 128, "2": 34, "3": 70, "4": 107, "5": 331} | Delivery, Drive-through, Onsite services, Takeout, Dine-in | null | Lunch, Dinner, Solo dining | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | Comfort food, Quick bite, Small plates | Lunch, Dinner, Catering, Counter service, Seating | Restroom | Casual, Trendy | Family-friendly, Groups, Tourists | null | Credit cards, Debit cards, NFC mobile payments | Good for kids, High chairs, Kids' menu | true | true | purchase_dataset@ | true | true | 5 | 2022-08-02 | 2026-03-03 | 1,346 | 37 | 94 | 1,346 | 1,346 | 37 | 37 | https://www.instagram.com/officialpandaexpress | officialpandaexpress | https://www.facebook.com/pages/panda-express/111684318866910 | pages/panda-express/111684318866910 | https://twitter.com/pandaexpress | pandaexpress | https://www.tiktok.com/@officialpandaexpress | officialpandaexpress | null | null | null | null | null | null | null | null | https://www.pinterest.com/pandaexpress | pandaexpress | 334,645 | 0.83 | null | 0.93 | 0.83 | 0.83 | 1,706 | 131,200 | 390 | 2,100,000 | 2.55 | null | 3.09 | 1.38 | 1.34 | https://order.pandaexpress.com/location/central-ave-atrisco-drive-px/menu | null | null | 2026-04-09T08:25:36.663777+00:00 | 59.27 | 3.19 | 0 | 3,402.06 | 18.7 | 87.5217 | 2.29 | 74 | 93.6 | 64.7 | 0.3175 | -1 | 0 | 0.3333 | 0.252 | 0.4189 | 0.4414 | 0.5235 | 50 | 62.6 | 0 | 100 | 0 | 50 | 50 | 0 | 66.67 | 33.33 | 0 | 60 | 34.29 | 5.71 | declining | declining | -1 | -12.6 | -0.252 | -20.1 | 1 | 8 | 12 | 35 | 33.3 | -8.6 | -62.5 | 68.4 | 60.1 | 80 | 83 | 46.1 | 46 | 633 | 2,999 | 997 | 1,452 | 8,578 | 2,229 | 184,037 | 1,145,801 | 263,197 | 197,276 | 633 | 455,896 | 17 | 182,764 | 153,810 | 101 | 114,309 | 195,836 | 101 | 157,604 | 1,273 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.726 | 0.1747 | 0.4152 | -0.1747 | -0.7485 | 0.5887 | -0.05 | 0.0715 | 0.05 | -0.4048 | 0.7788 | 0.0082 | 0.3159 | -0.0082 | -0.6492 | 100 | 16 | 100 | 455,896 | 223,512 | 182,764 | 0.3831 | 0.6968 | 0.7547 | 0.5577 | 0.4189 | 40 | 1.13 | 752 | 17.1 | 0.4624 | 15.6 | 0.68 | -82 | 11.9 | -0.1449 | 153,810 | 231,557 | 114,309 | 0.7918 | 0.6913 | 0.8491 | 0.5761 | 0.4414 | 51.5 | 1.24 | 1,495 | 17 | 0.5467 | 4.1 | 0.57 | -825 | 12 | -0.2292 | 195,836 | 259,358 | 157,604 | 0.7341 | Average | 0.6512 | 0.79 | 0.5911 | 0.5235 | Strong | 52.3 | 1.18 | 1,645 | 17.4 | Strong | 0.6265 | 3.3 | 0.63 | -975 | 11.6 | -0.309 | 17 | 101 | 101 | 379 | 0 | competitive | 0.0527 | 5.09 | 56.3 | 31.3 | 12.5 | 0 | 3,151 | 1,180 | competitive | 0.0045 | 1.27 | 3 | 73 | 24 | 0 | 7,739 | 5,024 | competitive | 0.0041 | 0.32 | 7 | 66 | 27 | 0 | 0.1251 | 0.549 | -0.1251 | -0.8823 | 100 | 101 | 283 | 663 | 868 | 0.8653 | 0.6882 | 0.5907 | 0.6967 | 0.3293 | 53.1 | 1.12 | 1,873 | 15.8 | 0.7014 | 2.5 | 0.69 | -1,203 | 13.2 | -0.3839 | competitive | 0.0036 | 0.2 | 0 | 74 | 26 | 0 | 0.7298 | 2.3 | 0.94 | 0.1164 | 0.5246 | -0.1164 | -0.8579 | 100 | 101 | 758 | 2,103 | 2,093 | 0.8725 | 0.648 | 0.6505 | 0.653 | 0.3375 | 54.8 | 1.37 | 1,875 | 18.3 | 0.7269 | 0.8 | 0.44 | -1,205 | 10.7 | -0.4094 | competitive | 0.0036 | 0.0003 | 1.11 | 0.26 | 0.7385 | 0.059 | 0.2307 | -0.059 | -0.564 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | 14.5 | 0.87 | 139 | -0.142 | 0.861 | 0.6457 | 0.7522 | 0.6576 | 0.3095 | 109,052 | 0.7637 | 8.6 | 279,866 | 195,957 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | 11.9 | -0.68 | 176 | -0.0992 | 0.7479 | 0.1232 | 0.6652 | 0.6507 | 0.3765 | 393 | 56.49 | 21.15 | 0.5837 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3317 | 3,317.46 | 0.47 | 21,175 | 7 | 0.0885 | 885.24 | 27.79 | 588.24 | 0.2 | 99.01 | 0.16 | 99.01 | 0.13 | 99.01 | 0.13 | 99.01 | -18.3 | -1.89 | 32 | -35.9 | -3.4 | null | null | null | null | null | -0.01 | 23,649 | -0.024 | 0.59 | 455,895 | 0.383 | 0.18 | -142,058 | 0.193 | 0.78 | 153,807 | 0.792 | 0.19 | -135,869 | 0.19 | 0.73 | 195,829 | 0.734 | 0.19 | -310 | 0.15 | 0.73 | 283 | 0.865 | 0.16 | -518 | 0.096 | 0.74 | 758 | 0.873 | 0.3175 | null | null | 640 | 0.1 | 3 | 0.773 | 0.856 | accelerating | 0.1 | 0.7 | 3 | 3 | 6 | 19 | 0.834 | 0.839 | 0.839 | 0.773 | 0.856 | 104,497 | 109,172 | 109,042 | 7 | 12 | accelerating | 0.03 | null | 75.94 |
SEJKXGPJ | Tasty Noodles & Dumplings | Food and Drink | Restaurants | Asian restaurant | Asian restaurant | 2325 San Pedro Dr NE #1e, Albuquerque, NM 87110 | 2325 San Pedro Dr NE #1e | Albuquerque | New Mexico | Uptown | Uptown | 87,110 | US | true | 35.105043 | -106.577973 | America/Denver | (505) 21*-**** | 2 | null | true | true | null | true | Albuquerque | New Mexico | US | https | https://order.tastynoodlesanddumplings.com | order.tastynoodlesanddumplings.com | order.tastynoodlesanddumplings.com | com | 983 | 2023-07-31 | 2026-07-31 | GoDaddy.com, LLC | purchase_dataset@chinesemenuonline.com | null | 1 | 1 | 0 | null | true | false | 4.25 | 361 | {"1": 40, "2": 19, "3": 11, "4": 30, "5": 264} | Delivery, Onsite services, Takeout, Dine-in | Great tea selection | Lunch, Dinner, Solo dining | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegetarian options | Lunch, Dinner, Dessert, Seating, Table service | Restroom | Casual, Cozy, Quiet | Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace | null | Credit cards, Debit cards, NFC mobile payments | Good for kids, High chairs | true | true | purchase_dataset@ | false | true | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://tastyabq.com | null | null | 2026-04-09T08:25:17.389409+00:00 | 0 | 4.26 | 7 | 3,317.46 | 93.7 | 87.5217 | 2.3 | 85 | 85.3 | 80.6 | 0.6067 | 1 | 0.3903 | 0.5104 | 0.5783 | 0.1983 | 0.7527 | 0.581 | 69.5 | 78.9 | 100 | 0 | 0 | 68.97 | 24.14 | 6.9 | 75.41 | 21.31 | 3.28 | 78.95 | 18.42 | 2.63 | improving | declining | 0.6097 | -9.4 | -0.188 | -11.9 | 1 | 29 | 61 | 114 | -4.9 | 1.8 | -89.7 | 60.7 | 36.8 | 0 | 50 | 68.7 | 46 | 859 | 1,998 | 1,462 | 2,125 | 5,802 | 3,504 | 289,527 | 796,901 | 439,495 | 310,118 | 859 | 481,447 | 91 | 169,110 | 153,810 | 101 | 86,631 | 157,007 | 101 | 145,839 | 779 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.7635 | 0.1438 | 0.4805 | -0.1438 | -0.2061 | 0.5461 | 0.0194 | 0.1481 | -0.0194 | 0.1263 | 0.7445 | 0.2363 | 0.4667 | -0.2363 | -0.1923 | 100 | 90 | 100 | 481,447 | 308,753 | 169,110 | 0.349 | 0.5819 | 0.773 | 0.5478 | 0.1983 | 39.5 | 0.88 | 777 | 16.8 | 0.3879 | -6.6 | -0.71 | -415 | -14 | 0.2188 | 153,810 | 345,164 | 86,631 | 0.7918 | 0.5403 | 0.8856 | 0.5003 | 0.7527 | 51.5 | 0.9 | 1,641 | 14.4 | 0.6429 | -18.6 | -0.73 | -1,279 | -11.6 | -0.0362 | 157,007 | 230,282 | 145,839 | 0.7869 | Average | 0.6902 | 0.8057 | 0.6015 | 0.581 | Strong | 53.5 | 1.29 | 1,689 | 17.8 | Strong | 0.6435 | -20.6 | -1.12 | -1,327 | -15 | -0.0368 | 91 | 101 | 101 | 693 | 72 | competitive | 0.0052 | 28.65 | 50 | 44.4 | 5.6 | 0 | 3,425 | 1,032 | competitive | 0.0022 | 1.27 | 2 | 78 | 20 | 0 | 6,981 | 5,015 | competitive | 0.0021 | 0.32 | 3 | 67 | 30 | 0 | 0.1251 | 0.549 | -0.1251 | -0.2746 | 100 | 101 | 1,622 | 1,455 | 1,307 | 0.2336 | 0.3057 | 0.3829 | 0.3773 | 0.6255 | 53.1 | 1.12 | 1,873 | 15.8 | 0.7014 | -20.2 | -0.95 | -1,511 | -13 | -0.0947 | competitive | 0.0019 | 0.2 | 0 | 74 | 26 | 0 | 0.3 | 2.3 | 0.94 | 0.1164 | 0.5247 | -0.1164 | -0.2503 | 100 | 101 | 4,153 | 3,618 | 3,375 | 0.3045 | 0.3852 | 0.4365 | 0.4821 | 0.6391 | 54.6 | 1.34 | 1,888 | 17.7 | 0.7265 | -21.7 | -1.17 | -1,526 | -14.9 | -0.1198 | competitive | 0.0019 | 0.0003 | 1.11 | 0.26 | 0.3683 | 0.059 | 0.2307 | -0.059 | 0.0437 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | -8.2 | -0.77 | -169 | 0.1472 | 0.2898 | 0.4574 | 0.6079 | 0.4599 | 0.6018 | 560,615 | 0.4355 | -17.6 | 421,576 | 309,958 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | 0.3 | -0.51 | -103 | 0.1976 | 0.3936 | 0.1598 | 0.5357 | 0.4062 | 0.6759 | 955 | 56.49 | 25.85 | 0.6772 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3317 | 3,317.46 | 0.47 | 21,175 | 7 | 0.0892 | 891.68 | 0.27 | 109.89 | 0.05 | 99.01 | 0.05 | 99.01 | 0.04 | 99.01 | 0.04 | 99.01 | -35.6 | -4.08 | 3 | -77.7 | -35.9 | null | null | null | null | null | 0.19 | -76,004 | 0.11 | 0.55 | 481,445 | 0.349 | -0.03 | 8,505 | -0.008 | 0.74 | 153,808 | 0.792 | 0.17 | -136,412 | 0.192 | 0.76 | 157,004 | 0.787 | -0.22 | 667 | -0.309 | 0.3 | 1,622 | 0.234 | -0.19 | 1,867 | -0.297 | 0.37 | 4,153 | 0.305 | 0.6067 | null | null | 361 | 0.13 | 4 | 0.583 | 0.739 | decelerating | 0.13 | 0.93 | 4 | 4 | 19 | 92 | 0.889 | 0.893 | 0.893 | 0.583 | 0.739 | 73,239 | 76,413 | 76,398 | 4 | 4 | decelerating | -0.2 | null | 80.22 |
MNF27QJ4 | Fun Noodle Bar | Food and Drink | Restaurants | Asian restaurant | Asian restaurant, Restaurant | 5317 Menaul Blvd NE, Albuquerque, NM 87110 | 5317 Menaul Blvd NE | Albuquerque | New Mexico | Quigley Park | Quigley Park | 87,110 | US | true | 35.109711 | -106.583824 | America/Denver | (505) 88*-**** | 2 | CLOSED_TEMPORARILY | true | true | null | true | Albuquerque | New Mexico | US | https | https://funnoodleabq.com | funnoodleabq.com | funnoodleabq.com | com | 2,170 | 2020-04-30 | 2026-04-30 | GoDaddy.com, LLC | null | null | 0 | 0 | 0 | null | true | false | 4.41 | 1,039 | {"1": 64, "2": 38, "3": 55, "4": 142, "5": 745} | No-contact delivery, Delivery, Onsite services, Takeout, Dine-in | Fast service, Great beer selection, Great tea selection | Lunch, Dinner, Solo dining | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | "Alcohol, Beer, Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Vege(...TRUNCATED) | Breakfast, Lunch, Dinner, Dessert, Seating, Table service | Bar onsite, Restroom | Casual, Cozy, Quiet, Trendy | Groups, Tourists | null | Credit cards, Debit cards, NFC mobile payments | Good for kids, High chairs | true | true | purchase_dataset@ | true | true | 1 | null | null | null | null | null | null | null | null | null | null | null | https://www.facebook.com/funnoodlebarabq | funnoodlebarabq | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://funnoodleabq.com | null | null | 2026-04-09T08:25:17.085809+00:00 | 0 | 3.19 | 1.9 | 3,317.46 | 93.3 | 87.5217 | 2.29 | 88.2 | 100 | 85 | 0.6494 | null | 0.5062 | 0.5428 | 0.6026 | 0.1442 | 0.7103 | 0.6053 | 75.3 | 80.1 | null | null | null | 78.26 | 21.74 | 0 | 77.97 | 20.34 | 1.69 | 82.52 | 15.38 | 2.1 | stable | declining | null | -4.8 | -0.0964 | -6 | 0 | 23 | 59 | 143 | -22 | -35.7 | -100 | 64.5 | 35.1 | 8 | 50 | 71.8 | 46 | 291 | 1,563 | 422 | 648 | 4,568 | 892 | 78,995 | 620,772 | 105,354 | 85,183 | 291 | 424,119 | 65 | 319,214 | 162,434 | 101 | 63,766 | 154,005 | 101 | 147,075 | 554 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.7657 | 0.1441 | 0.5077 | -0.1441 | -0.1335 | 0.5443 | 0.071 | 0.1216 | -0.071 | 0.2526 | 0.7518 | 0.2169 | 0.4453 | -0.2169 | -0.0711 | 100 | 64 | 100 | 424,119 | 239,323 | 319,214 | 0.4253 | 0.6754 | 0.5717 | 0.6501 | 0.1442 | 40.6 | 1.08 | 564 | 20.2 | 0.3612 | 11.8 | 1.57 | 476 | 30.5 | 0.2882 | 162,434 | 337,326 | 63,766 | 0.78 | 0.5502 | 0.9158 | 0.4688 | 0.7103 | 51.3 | 0.92 | 1,831 | 13.4 | 0.6281 | 1.1 | 1.73 | -791 | 37.3 | 0.0213 | 154,005 | 227,693 | 147,075 | 0.7911 | Average | 0.6936 | 0.804 | 0.604 | 0.6053 | Strong | 53.6 | 1.3 | 1,684 | 17.9 | Strong | 0.6503 | -1.2 | 1.35 | -644 | 32.8 | -0.0009 | 65 | 101 | 101 | 582 | 22 | competitive | 0.028 | 20.37 | 46.9 | 48.4 | 4.7 | 0 | 3,271 | 1,193 | competitive | 0.0056 | 1.27 | 2 | 78 | 20 | 0 | 6,833 | 5,020 | competitive | 0.0061 | 0.32 | 3 | 67 | 30 | 0 | 0.1251 | 0.549 | -0.1251 | -0.1748 | 100 | 101 | 401 | 494 | 589 | 0.8097 | 0.7673 | 0.723 | 0.8568 | 0.6783 | 53.1 | 1.12 | 1,873 | 15.8 | 0.7014 | -0.7 | 1.53 | -833 | 34.9 | -0.052 | competitive | 0.0055 | 0.2 | 0 | 74 | 26 | 0 | 0.771 | 2.3 | 0.94 | 0.1164 | 0.5247 | -0.1164 | -0.1505 | 100 | 101 | 1,029 | 1,478 | 1,231 | 0.8267 | 0.7516 | 0.7947 | 0.8883 | 0.6875 | 54.6 | 1.34 | 1,888 | 17.7 | 0.7265 | -2.2 | 1.31 | -848 | 33 | -0.0771 | competitive | 0.0055 | 0.0003 | 1.11 | 0.26 | 0.7946 | 0.059 | 0.2307 | -0.059 | 0.1435 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | 11.3 | 1.71 | 509 | 0.1899 | 0.8102 | 0.7425 | 0.8497 | 0.8787 | 0.6595 | 148,771 | 0.8017 | 30.3 | 202,854 | 118,879 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | 9.7 | 0.32 | 575 | 0.2706 | 0.686 | 0.4845 | 0.8421 | 0.8143 | 0.772 | 496 | 56.49 | 28.68 | 0.7473 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3317 | 3,317.46 | 0.47 | 21,175 | 7 | 0.0892 | 891.68 | 7.83 | 153.85 | 0.32 | 99.01 | 0.38 | 99.01 | 0.3 | 99.01 | 0.3 | 99.01 | -20.9 | -1.76 | 2 | -34.3 | -37.3 | null | null | null | null | null | 0.21 | -133,332 | 0.186 | 0.54 | 424,118 | 0.425 | 0 | 3,096 | 0 | 0.75 | 162,433 | 0.78 | 0.15 | -119,340 | 0.169 | 0.77 | 154,003 | 0.791 | 0.05 | -220 | 0.108 | 0.77 | 401 | 0.81 | 0.05 | -340 | 0.067 | 0.79 | 1,029 | 0.827 | 0.6494 | null | null | 1,039 | 0.1 | 3 | 0.417 | 0.652 | decelerating | 0.1 | 0.7 | 3 | 3 | 21 | 62 | 0.834 | 0.839 | 0.839 | 0.417 | 0.652 | 104,497 | 109,172 | 109,042 | 7 | 8 | decelerating | -0.1 | null | 79.07 |
9AXBG958 | Pepper 1 | Food and Drink | Restaurants | Asian restaurant | Asian restaurant, Sushi restaurant, Vietnamese restaurant | 3223 Isleta Blvd SW, Albuquerque, NM 87105 | 3223 Isleta Blvd SW | Albuquerque | New Mexico | Del Rio Acres | null | 87,105 | US | true | 35.029316 | -106.68034 | America/Denver | (505) 21*-**** | 2 | null | true | true | null | true | Albuquerque | New Mexico | US | https | https://pepper1togo.com | pepper1togo.com | pepper1togo.com | com | 189 | 2025-10-02 | 2026-10-02 | Cloudflare, Inc. | purchase_dataset@beyondmenu.com | null | 1 | 0 | 1 | null | true | false | 4.98 | 125 | {"1": 1, "2": 1, "3": 0, "4": 3, "5": 152} | Curbside pickup, Delivery, Onsite services, Takeout, Dine-in | null | Lunch, Dinner, Solo dining | "Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED) | Comfort food, Healthy options, Small plates, Vegetarian options | Lunch, Dinner, Counter service, Dessert, Seating, Table service | Restroom | Casual | Family-friendly, Groups | null | Credit cards, Debit cards, NFC mobile payments | Good for kids, High chairs | true | true | purchase_dataset@ | true | true | 3 | null | null | null | null | null | null | null | null | null | null | null | https://www.facebook.com/peppercontent.io | peppercontent.io | https://twitter.com/pepperramirez1 | pepperramirez1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://pepper1togo.com/rfiike5r/pepper-1-albuquerque-87105/menu | null | null | 2026-04-09T08:24:59.493363+00:00 | 0 | 4.26 | 1.3 | 3,317.46 | 31.1 | 87.5217 | 2.3 | 99.6 | 70 | 100 | 0.838 | null | 0.8285 | 0.838 | 0.838 | 0.0487 | 0.086 | 0.5174 | 91.4 | 91.9 | null | null | null | 100 | 0 | 0 | 100 | 0 | 0 | 100 | 0 | 0 | stable | stable | null | -0.5 | -0.0095 | -0.5 | 0 | 52 | 125 | 125 | -16.8 | 66.4 | -100 | 71.3 | 36.8 | 24 | 67 | 83.1 | 46 | 1,128 | 278 | 2,162 | 2,979 | 893 | 5,535 | 445,221 | 115,611 | 739,893 | 477,213 | 1,128 | 358,048 | 28 | 441,485 | 688,822 | 101 | 672,588 | 185,421 | 101 | 179,308 | 98 | 1,786 | 3,632 | 5,126 | 11,081 | 734,279 | 1,460,619 | 734,279 | 0.736 | 0.0509 | 0.3964 | -0.0509 | 0.4091 | 0.5513 | 0.0142 | -0.1068 | -0.0142 | 0.9123 | 0.2771 | 0.0159 | 0.1508 | -0.0159 | 0.6547 | 100 | 27 | 100 | 358,048 | 187,746 | 441,485 | 0.5137 | 0.7449 | 0.4078 | 0.742 | 0.0487 | 41.8 | 1.25 | 437 | 23.8 | 0.2685 | 22.9 | 2.9 | -301 | 52.7 | 0.5695 | 688,822 | 231,557 | 672,588 | 0.0896 | 0.6913 | 0.1129 | 0.7472 | 0.086 | 38.8 | 1.24 | 373 | 24.2 | 0.4115 | 25.9 | 2.91 | -237 | 52.3 | 0.4265 | 185,421 | 227,693 | 179,308 | 0.749 | Average | 0.6936 | 0.761 | 0.604 | 0.5174 | Below Average | 52.6 | 1.3 | 1,573 | 17.9 | Strong | 0.6246 | 12.1 | 2.85 | -1,437 | 58.6 | 0.2134 | 28 | 101 | 101 | 388 | 2 | competitive | 0.0114 | 8.59 | 44.4 | 48.1 | 7.4 | 0 | 3,555 | 1,003 | competitive | 0.0036 | 1.27 | 49 | 42 | 9 | 0 | 7,858 | 5,034 | competitive | 0.0009 | 0.32 | 7 | 63 | 30 | 0 | 0.1251 | 0.549 | -0.1251 | 0.2565 | 100 | 101 | 84 | 195 | 1,536 | 0.9585 | 0.9077 | 0.276 | 0.9755 | 0.919 | 53.1 | 1.12 | 1,873 | 15.8 | 0.7014 | 11.6 | 3.03 | -1,737 | 60.7 | 0.1366 | competitive | 0.0007 | 0.2 | 0 | 74 | 26 | 0 | 0.7385 | 2.3 | 0.94 | 0.1164 | 0.5247 | -0.1164 | 0.2808 | 100 | 101 | 195 | 698 | 4,150 | 0.967 | 0.8837 | 0.3073 | 0.98 | 0.9097 | 54.6 | 1.34 | 1,888 | 17.7 | 0.7265 | 10.1 | 2.81 | -1,752 | 58.8 | 0.1115 | competitive | 0.0007 | 0.0003 | 1.11 | 0.26 | 0.7441 | 0.059 | 0.2307 | -0.059 | 0.5748 | 791,801 | 41.1 | 0.94 | 531 | 20.4 | 0.4595 | 23.6 | 3.21 | -395 | 0.3785 | 0.955 | 0.881 | 0.4075 | 0.9813 | 0.9161 | 35,033 | 0.7685 | 56.1 | 93,861 | 468,201 | 44.5 | 8.8 | 0 | 46.7 | 791,802 | 1,584 | 52.7 | 4.04 | 464 | 22.9 | 0.4227 | 22.2 | 0.95 | -339 | 0.543 | 0.9634 | 0.7322 | 0.3778 | 0.9747 | 0.9798 | 59 | 56.49 | 38.01 | 0.9551 | 1,584 | 1.77 | 5,646 | 1,154 | 0.3317 | 3,317.46 | 0.47 | 21,175 | 7 | 0.0892 | 891.68 | 1.3 | 357.14 | 0.13 | 99.01 | 0.01 | 99.01 | 0.01 | 99.01 | 0.01 | 99.01 | -14.6 | -0.83 | 11 | -23.5 | -25.1 | null | null | null | null | null | 0.27 | -235,543 | 0.323 | 0.55 | 358,047 | 0.514 | 0.21 | -32,131 | 0.054 | 0.28 | 688,821 | 0.09 | 0.22 | -181,376 | 0.251 | 0.74 | 185,420 | 0.749 | 0.02 | -183 | 0.087 | 0.74 | 84 | 0.959 | 0 | -327 | 0.059 | 0.74 | 195 | 0.967 | 0.838 | null | null | 125 | 0.13 | 4 | 0.583 | 0.739 | decelerating | 0.13 | 0.93 | 4 | 4 | 52 | 108 | 0.889 | 0.893 | 0.893 | 0.583 | 0.739 | 73,239 | 76,413 | 76,398 | 4 | 4 | decelerating | -0.57 | null | 65.57 |
End of preview. Expand in Data Studio
All Restaurants in Albuquerque, New Mexico, US
Free sample dataset from BeamStation
This dataset provides a complete export of all restaurants in Albuquerque, New Mexico, US. It contains 1,763 records, each representing a single establishment with all available columns filled. The data is refreshed weekly to keep information current. Users such as local analysts, food‑delivery planners, urban researchers, or developers building restaurant‑focused applications will find this comprehensive list useful for market analysis, service area mapping, or demographic studies. The file follows the template of a full city restaurant export, ensuring every profile includes every column that the source provides. Access the dataset directly via the provided URL to download the latest version and integrate it into your workflow.
Dataset Details
| Field | Value |
|---|---|
| Full dataset | 1,763 records |
| Sample size | 176 records |
| Location | Albuquerque |
| Category | Restaurants |
| Updated | weekly |
| Format | CSV |
| Columns | beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (498 total) |
Column List
| # | Column |
|---|---|
| 1 | beam_id |
| 2 | title |
| 3 | category_main_group |
| 4 | category_sub_group |
| 5 | category |
| 6 | categories |
| 7 | address |
| 8 | street |
| 9 | city |
| 10 | state |
| 11 | borough |
| 12 | neighborhood |
| 13 | postal_code |
| 14 | country |
| 15 | address_verified |
| 16 | latitude |
| 17 | longitude |
| 18 | timezone |
| 19 | phone |
| 20 | price_level |
| 21 | business_status |
| 22 | has_open_hours |
| 23 | has_price |
| 24 | census_place |
| 25 | verified_census_city |
| 26 | beam_location_name |
| 27 | beam_state_code |
| 28 | beam_country_code |
| 29 | website_protocol |
| 30 | website |
| 31 | website_normalized |
| 32 | website_domain |
| 33 | website_domain_tld |
| 34 | website_domain_age |
| 35 | website_domain_registered |
| 36 | website_domain_expires |
| 37 | website_domain_registrar |
| 38 | emails_list |
| 39 | emails_list_website_domain |
| 40 | emails_count |
| 41 | emails_deliverable_count |
| 42 | emails_risky_count |
| 43 | description |
| 44 | has_about |
| 45 | has_description |
| 46 | rating |
| 47 | reviews_total_count |
| 48 | reviews_per_rating |
| 49 | service_options |
| 50 | highlights |
| 51 | popular_for |
| 52 | accessibility |
| 53 | offerings |
| 54 | dining_options |
| 55 | amenities |
| 56 | atmosphere |
| 57 | crowd |
| 58 | planning |
| 59 | payments |
| 60 | children |
| 61 | has_popular_times |
| 62 | has_website |
| 63 | has_email |
| 64 | has_social |
| 65 | has_phone |
| 66 | socials_count |
| 67 | first_social_post_date |
| 68 | last_social_post_date |
| 69 | first_social_post_days |
| 70 | last_social_post_days |
| 71 | social_post_count |
| 72 | first_social_post_days_min |
| 73 | first_social_post_days_max |
| 74 | last_social_post_days_min |
| 75 | last_social_post_days_max |
| 76 | social_profile_instagram |
| 77 | social_username_instagram |
| 78 | social_profile_facebook |
| 79 | social_username_facebook |
| 80 | social_profile_twitter |
| 81 | social_username_twitter |
| 82 | social_profile_tiktok |
| 83 | social_username_tiktok |
| 84 | social_profile_linkedin |
| 85 | social_username_linkedin |
| 86 | social_profile_youtube |
| 87 | social_username_youtube |
| 88 | social_profile_github |
| 89 | social_username_github |
| 90 | social_profile_snapchat |
| 91 | social_username_snapchat |
| 92 | social_profile_pinterest |
| 93 | social_username_pinterest |
| 94 | instagram_followers |
| 95 | instagram_engagement_rate |
| 96 | instagram_engagement_rate_1m |
| 97 | instagram_engagement_rate_3m |
| 98 | instagram_engagement_rate_6m |
| 99 | instagram_engagement_rate_12m |
| 100 | instagram_post_count |
| 101 | tiktok_followers |
| 102 | tiktok_video_count |
| 103 | tiktok_heart_count |
| 104 | tiktok_engagement_rate |
| 105 | tiktok_engagement_rate_1m |
| 106 | tiktok_engagement_rate_3m |
| 107 | tiktok_engagement_rate_6m |
| 108 | tiktok_engagement_rate_12m |
| 109 | menu_link |
| 110 | order_links |
| 111 | reservation_link |
| 112 | last_updated_at |
| 113 | beam_cross_social_market_penetration |
| 114 | beam_cross_velocity_quality |
| 115 | beam_cross_social_urgency |
| 116 | beam_cross_per_capita_engagement |
| 117 | beam_cross_market_saturation_lead |
| 118 | beam_cross_population_adjusted_rank |
| 119 | beam_cross_demand_gap_index |
| 120 | beam_rating_score |
| 121 | beam_review_confidence |
| 122 | beam_rating_health |
| 123 | sentiment_avg |
| 124 | sentiment_avg_30d |
| 125 | sentiment_avg_90d |
| 126 | sentiment_avg_180d |
| 127 | sentiment_avg_360d |
| 128 | sentiment_percentile_1km |
| 129 | sentiment_percentile_5km |
| 130 | sentiment_percentile_10km |
| 131 | sentiment_score_90d |
| 132 | sentiment_score_360d |
| 133 | sentiment_positive_pct_30d |
| 134 | sentiment_negative_pct_30d |
| 135 | sentiment_neutral_pct_30d |
| 136 | sentiment_positive_pct_90d |
| 137 | sentiment_negative_pct_90d |
| 138 | sentiment_neutral_pct_90d |
| 139 | sentiment_positive_pct_180d |
| 140 | sentiment_negative_pct_180d |
| 141 | sentiment_neutral_pct_180d |
| 142 | sentiment_positive_pct_360d |
| 143 | sentiment_negative_pct_360d |
| 144 | sentiment_neutral_pct_360d |
| 145 | sentiment_trend_30vs90d |
| 146 | sentiment_trend_90vs360d |
| 147 | sentiment_diff_30vs90d |
| 148 | sentiment_change_360d |
| 149 | sentiment_diff_90vs360d |
| 150 | sentiment_change_pct_360d |
| 151 | reviews_count_30d |
| 152 | reviews_count_90d |
| 153 | reviews_count_180d |
| 154 | reviews_count_360d |
| 155 | review_growth_pct_180d |
| 156 | review_growth_pct_360d |
| 157 | review_growth_pct_90d |
| 158 | beam_score_overall |
| 159 | beam_popularity_percentile |
| 160 | beam_social_presence |
| 161 | beam_data_completeness |
| 162 | beam_price_value |
| 163 | beam_data_freshness |
| 164 | beam_rank_city_category |
| 165 | beam_rank_city_overall |
| 166 | beam_rank_city_reviews |
| 167 | beam_rank_state_category |
| 168 | beam_rank_state_overall |
| 169 | beam_rank_state_reviews |
| 170 | beam_rank_country_category |
| 171 | beam_rank_country_overall |
| 172 | beam_rank_country_reviews |
| 173 | beam_rank_place_global_category |
| 174 | beam_rank_category |
| 175 | beam_rank_competition_1km_category |
| 176 | beam_rank_competition_1km_total |
| 177 | beam_rank_competition_1km_reviews |
| 178 | beam_rank_competition_5km_category |
| 179 | beam_rank_competition_5km_total |
| 180 | beam_rank_competition_5km_reviews |
| 181 | beam_rank_competition_10km_category |
| 182 | beam_rank_competition_10km_total |
| 183 | beam_rank_competition_10km_reviews |
| 184 | beam_export_rank |
| 185 | total_city_category |
| 186 | total_city |
| 187 | total_state_category |
| 188 | total_state |
| 189 | total_country_category |
| 190 | total_country |
| 191 | total_category_global |
| 192 | beam_competitors_10km_competitive_strength |
| 193 | beam_competitors_10km_competitor_avg_sentiment_30d |
| 194 | beam_competitors_10km_competitor_avg_sentiment_90d |
| 195 | beam_competitors_10km_sentiment_diff_30d |
| 196 | beam_competitors_10km_sentiment_diff_90d |
| 197 | beam_competitors_1km_competitive_strength |
| 198 | beam_competitors_1km_competitor_avg_sentiment_30d |
| 199 | beam_competitors_1km_competitor_avg_sentiment_90d |
| 200 | beam_competitors_1km_sentiment_diff_30d |
| 201 | beam_competitors_1km_sentiment_diff_90d |
| 202 | beam_competitors_5km_competitive_strength |
| 203 | beam_competitors_5km_competitor_avg_sentiment_30d |
| 204 | beam_competitors_5km_competitor_avg_sentiment_90d |
| 205 | beam_competitors_5km_sentiment_diff_30d |
| 206 | beam_competitors_5km_sentiment_diff_90d |
| 207 | beam_competitors_10km_competitor_count |
| 208 | beam_competitors_1km_competitor_count |
| 209 | beam_competitors_5km_competitor_count |
| 210 | beam_competitors_1km_rank_by_score |
| 211 | beam_competitors_1km_rank_by_rating |
| 212 | beam_competitors_1km_rank_by_reviews |
| 213 | beam_competitors_1km_score_percentile |
| 214 | beam_competitors_1km_rating_percentile |
| 215 | beam_competitors_1km_reviews_percentile |
| 216 | beam_competitors_1km_health_percentile |
| 217 | beam_competitors_1km_sentiment_percentile |
| 218 | beam_competitors_1km_competitor_avg_score |
| 219 | beam_competitors_1km_competitor_avg_rating |
| 220 | beam_competitors_1km_competitor_avg_reviews |
| 221 | beam_competitors_1km_competitor_avg_health |
| 222 | beam_competitors_1km_competitor_avg_sentiment |
| 223 | beam_competitors_1km_score_diff |
| 224 | beam_competitors_1km_rating_diff |
| 225 | beam_competitors_1km_reviews_diff |
| 226 | beam_competitors_1km_health_diff |
| 227 | beam_competitors_1km_sentiment_diff |
| 228 | beam_competitors_5km_rank_by_score |
| 229 | beam_competitors_5km_rank_by_rating |
| 230 | beam_competitors_5km_rank_by_reviews |
| 231 | beam_competitors_5km_score_percentile |
| 232 | beam_competitors_5km_rating_percentile |
| 233 | beam_competitors_5km_reviews_percentile |
| 234 | beam_competitors_5km_health_percentile |
| 235 | beam_competitors_5km_sentiment_percentile |
| 236 | beam_competitors_5km_competitor_avg_score |
| 237 | beam_competitors_5km_competitor_avg_rating |
| 238 | beam_competitors_5km_competitor_avg_reviews |
| 239 | beam_competitors_5km_competitor_avg_health |
| 240 | beam_competitors_5km_competitor_avg_sentiment |
| 241 | beam_competitors_5km_score_diff |
| 242 | beam_competitors_5km_rating_diff |
| 243 | beam_competitors_5km_reviews_diff |
| 244 | beam_competitors_5km_health_diff |
| 245 | beam_competitors_5km_sentiment_diff |
| 246 | beam_competitors_10km_rank_by_score |
| 247 | beam_competitors_10km_rank_by_rating |
| 248 | beam_competitors_10km_rank_by_reviews |
| 249 | beam_competitors_10km_score_percentile |
| 250 | beam_competitors_1km_competitive_tier |
| 251 | beam_competitors_10km_rating_percentile |
| 252 | beam_competitors_10km_reviews_percentile |
| 253 | beam_competitors_10km_health_percentile |
| 254 | beam_competitors_10km_sentiment_percentile |
| 255 | beam_competitors_5km_competitive_tier |
| 256 | beam_competitors_10km_competitor_avg_score |
| 257 | beam_competitors_10km_competitor_avg_rating |
| 258 | beam_competitors_10km_competitor_avg_reviews |
| 259 | beam_competitors_10km_competitor_avg_health |
| 260 | beam_competitors_10km_competitive_tier |
| 261 | beam_competitors_10km_competitor_avg_sentiment |
| 262 | beam_competitors_10km_score_diff |
| 263 | beam_competitors_10km_rating_diff |
| 264 | beam_competitors_10km_reviews_diff |
| 265 | beam_competitors_10km_health_diff |
| 266 | beam_competitors_10km_sentiment_diff |
| 267 | beam_competitors_1km_total_in_radius |
| 268 | beam_competitors_5km_total_in_radius |
| 269 | beam_competitors_10km_total_in_radius |
| 270 | beam_competitors_1km_avg_distance_m |
| 271 | beam_competitors_1km_closest_competitor_m |
| 272 | beam_competitors_1km_market_type |
| 273 | beam_competitors_1km_review_share |
| 274 | beam_competitors_1km_density_per_sqkm |
| 275 | beam_competitors_1km_tier_below_40 |
| 276 | beam_competitors_1km_tier_40_59 |
| 277 | beam_competitors_1km_tier_60_79 |
| 278 | beam_competitors_1km_tier_80_100 |
| 279 | beam_competitors_5km_avg_distance_m |
| 280 | beam_competitors_5km_closest_competitor_m |
| 281 | beam_competitors_5km_market_type |
| 282 | beam_competitors_5km_review_share |
| 283 | beam_competitors_5km_density_per_sqkm |
| 284 | beam_competitors_5km_tier_below_40 |
| 285 | beam_competitors_5km_tier_40_59 |
| 286 | beam_competitors_5km_tier_60_79 |
| 287 | beam_competitors_5km_tier_80_100 |
| 288 | beam_competitors_10km_avg_distance_m |
| 289 | beam_competitors_10km_closest_competitor_m |
| 290 | beam_competitors_10km_market_type |
| 291 | beam_competitors_10km_review_share |
| 292 | beam_competitors_10km_density_per_sqkm |
| 293 | beam_competitors_10km_tier_below_40 |
| 294 | beam_competitors_10km_tier_40_59 |
| 295 | beam_competitors_10km_tier_60_79 |
| 296 | beam_competitors_10km_tier_80_100 |
| 297 | beam_competitors_city_competitor_avg_sentiment_30d |
| 298 | beam_competitors_city_competitor_avg_sentiment_90d |
| 299 | beam_competitors_city_sentiment_diff_30d |
| 300 | beam_competitors_city_sentiment_diff_90d |
| 301 | beam_competitors_city_competitor_count |
| 302 | beam_competitors_city_total_in_city |
| 303 | beam_competitors_city_rank_by_score |
| 304 | beam_competitors_city_rank_by_rating |
| 305 | beam_competitors_city_rank_by_reviews |
| 306 | beam_competitors_city_score_percentile |
| 307 | beam_competitors_city_rating_percentile |
| 308 | beam_competitors_city_reviews_percentile |
| 309 | beam_competitors_city_health_percentile |
| 310 | beam_competitors_city_sentiment_percentile |
| 311 | beam_competitors_city_competitor_avg_score |
| 312 | beam_competitors_city_competitor_avg_rating |
| 313 | beam_competitors_city_competitor_avg_reviews |
| 314 | beam_competitors_city_competitor_avg_health |
| 315 | beam_competitors_city_competitor_avg_sentiment |
| 316 | beam_competitors_city_score_diff |
| 317 | beam_competitors_city_rating_diff |
| 318 | beam_competitors_city_reviews_diff |
| 319 | beam_competitors_city_health_diff |
| 320 | beam_competitors_city_sentiment_diff |
| 321 | beam_competitors_city_market_type |
| 322 | beam_competitors_city_review_share |
| 323 | beam_competitors_city_density_per_sqkm |
| 324 | beam_competitors_city_tier_below_40 |
| 325 | beam_competitors_city_tier_40_59 |
| 326 | beam_competitors_city_tier_60_79 |
| 327 | beam_competitors_city_tier_80_100 |
| 328 | beam_competitors_city_competitive_strength |
| 329 | beam_competitors_city_underserved_score |
| 330 | beam_competitors_city_competition_intensity |
| 331 | beam_competitors_state_competitor_avg_sentiment_30d |
| 332 | beam_competitors_state_competitor_avg_sentiment_90d |
| 333 | beam_competitors_state_sentiment_diff_30d |
| 334 | beam_competitors_state_sentiment_diff_90d |
| 335 | beam_competitors_state_competitor_count |
| 336 | beam_competitors_state_total_in_state |
| 337 | beam_competitors_state_rank_by_score |
| 338 | beam_competitors_state_rank_by_rating |
| 339 | beam_competitors_state_rank_by_reviews |
| 340 | beam_competitors_state_score_percentile |
| 341 | beam_competitors_state_rating_percentile |
| 342 | beam_competitors_state_reviews_percentile |
| 343 | beam_competitors_state_health_percentile |
| 344 | beam_competitors_state_sentiment_percentile |
| 345 | beam_competitors_state_competitor_avg_score |
| 346 | beam_competitors_state_competitor_avg_rating |
| 347 | beam_competitors_state_competitor_avg_reviews |
| 348 | beam_competitors_state_competitor_avg_health |
| 349 | beam_competitors_state_competitor_avg_sentiment |
| 350 | beam_competitors_state_score_diff |
| 351 | beam_competitors_state_rating_diff |
| 352 | beam_competitors_state_reviews_diff |
| 353 | beam_competitors_state_health_diff |
| 354 | beam_competitors_state_sentiment_diff |
| 355 | beam_competitors_state_market_type |
| 356 | beam_competitors_state_review_share |
| 357 | beam_competitors_state_density_per_sqkm |
| 358 | beam_competitors_state_underserved_score |
| 359 | beam_competitors_state_competition_intensity |
| 360 | beam_competitors_state_competitive_strength |
| 361 | beam_competitors_country_competitor_avg_sentiment_30d |
| 362 | beam_competitors_country_competitor_avg_sentiment_90d |
| 363 | beam_competitors_country_sentiment_diff_30d |
| 364 | beam_competitors_country_sentiment_diff_90d |
| 365 | beam_competitors_country_competitor_count |
| 366 | beam_competitors_country_competitor_avg_score |
| 367 | beam_competitors_country_competitor_avg_rating |
| 368 | beam_competitors_country_competitor_avg_reviews |
| 369 | beam_competitors_country_competitor_avg_health |
| 370 | beam_competitors_country_competitor_avg_sentiment |
| 371 | beam_competitors_country_score_diff |
| 372 | beam_competitors_country_rating_diff |
| 373 | beam_competitors_country_reviews_diff |
| 374 | beam_competitors_country_sentiment_diff |
| 375 | beam_competitors_country_score_percentile |
| 376 | beam_competitors_country_rating_percentile |
| 377 | beam_competitors_country_reviews_percentile |
| 378 | beam_competitors_country_health_percentile |
| 379 | beam_competitors_country_sentiment_percentile |
| 380 | beam_competitors_country_rank_by_score |
| 381 | beam_competitors_country_competitive_strength |
| 382 | beam_competitors_country_health_diff |
| 383 | beam_competitors_country_rank_by_rating |
| 384 | beam_competitors_country_rank_by_reviews |
| 385 | beam_competitors_country_tier_40_59 |
| 386 | beam_competitors_country_tier_60_79 |
| 387 | beam_competitors_country_tier_80_100 |
| 388 | beam_competitors_country_tier_below_40 |
| 389 | beam_competitors_country_total_in_country |
| 390 | beam_competitors_city_siblings_competitor_count |
| 391 | beam_competitors_city_siblings_competitor_avg_score |
| 392 | beam_competitors_city_siblings_competitor_avg_rating |
| 393 | beam_competitors_city_siblings_competitor_avg_reviews |
| 394 | beam_competitors_city_siblings_competitor_avg_health |
| 395 | beam_competitors_city_siblings_competitor_avg_sentiment |
| 396 | beam_competitors_city_siblings_score_diff |
| 397 | beam_competitors_city_siblings_rating_diff |
| 398 | beam_competitors_city_siblings_reviews_diff |
| 399 | beam_competitors_city_siblings_sentiment_diff |
| 400 | beam_competitors_city_siblings_score_percentile |
| 401 | beam_competitors_city_siblings_rating_percentile |
| 402 | beam_competitors_city_siblings_reviews_percentile |
| 403 | beam_competitors_city_siblings_health_percentile |
| 404 | beam_competitors_city_siblings_sentiment_percentile |
| 405 | beam_competitors_city_siblings_rank_by_score |
| 406 | beam_competitors_city_siblings_competitor_avg_recommend_pct |
| 407 | beam_competitors_city_siblings_recommend_pct_diff |
| 408 | beam_competitors_city_siblings_recommend_pct_percentile |
| 409 | beam_competitors_city_siblings_total_siblings |
| 410 | beam_competitors_city_businesses_per_10k_pop |
| 411 | beam_competitors_city_population_per_business |
| 412 | beam_competitors_city_population_density |
| 413 | beam_competitors_city_reviews_per_capita |
| 414 | beam_competitors_city_reviews_per_10k_pop |
| 415 | beam_competitors_state_businesses_per_10k_pop |
| 416 | beam_competitors_state_population_per_business |
| 417 | beam_competitors_state_population_density |
| 418 | beam_competitors_state_reviews_per_capita |
| 419 | beam_competitors_state_reviews_per_10k_pop |
| 420 | beam_competitors_1km_hhi_contribution |
| 421 | beam_competitors_1km_hhi_minimum |
| 422 | beam_competitors_5km_hhi_contribution |
| 423 | beam_competitors_5km_hhi_minimum |
| 424 | beam_competitors_10km_hhi_contribution |
| 425 | beam_competitors_10km_hhi_minimum |
| 426 | beam_competitors_city_hhi_contribution |
| 427 | beam_competitors_city_hhi_minimum |
| 428 | beam_competitors_state_hhi_contribution |
| 429 | beam_competitors_state_hhi_minimum |
| 430 | beam_trends_score_30d_beam_score_overall |
| 431 | beam_trends_score_30d_rating |
| 432 | beam_trends_score_30d_review_count |
| 433 | beam_trends_score_30d_beam_rating_health |
| 434 | beam_trends_score_30d_beam_popularity_percentile |
| 435 | beam_trends_score_90d_beam_score_overall |
| 436 | beam_trends_score_90d_rating |
| 437 | beam_trends_score_90d_review_count |
| 438 | beam_trends_score_90d_beam_rating_health |
| 439 | beam_trends_score_90d_beam_popularity_percentile |
| 440 | beam_trends_competitive_1km_30d_strength_change |
| 441 | beam_trends_competitive_1km_30d_rank_change |
| 442 | beam_trends_competitive_1km_30d_percentile_change |
| 443 | beam_trends_competitive_1km_90d_strength_change |
| 444 | beam_trends_competitive_1km_90d_rank_change |
| 445 | beam_trends_competitive_1km_90d_percentile_change |
| 446 | beam_trends_competitive_5km_30d_strength_change |
| 447 | beam_trends_competitive_5km_30d_rank_change |
| 448 | beam_trends_competitive_5km_30d_percentile_change |
| 449 | beam_trends_competitive_5km_90d_strength_change |
| 450 | beam_trends_competitive_5km_90d_rank_change |
| 451 | beam_trends_competitive_5km_90d_percentile_change |
| 452 | beam_trends_competitive_10km_30d_strength_change |
| 453 | beam_trends_competitive_10km_30d_rank_change |
| 454 | beam_trends_competitive_10km_30d_percentile_change |
| 455 | beam_trends_competitive_10km_90d_strength_change |
| 456 | beam_trends_competitive_10km_90d_rank_change |
| 457 | beam_trends_competitive_10km_90d_percentile_change |
| 458 | beam_trends_competitive_city_30d_strength_change |
| 459 | beam_trends_competitive_city_30d_rank_change |
| 460 | beam_trends_competitive_city_30d_percentile_change |
| 461 | beam_trends_competitive_city_90d_strength_change |
| 462 | beam_trends_competitive_city_90d_rank_change |
| 463 | beam_trends_competitive_city_90d_percentile_change |
| 464 | beam_trends_competitive_state_30d_strength_change |
| 465 | beam_trends_competitive_state_30d_rank_change |
| 466 | beam_trends_competitive_state_30d_percentile_change |
| 467 | beam_trends_competitive_state_90d_strength_change |
| 468 | beam_trends_competitive_state_90d_rank_change |
| 469 | beam_trends_competitive_state_90d_percentile_change |
| 470 | beam_trends_sentiment_current_sentiment |
| 471 | beam_trends_sentiment_positive_ratio |
| 472 | beam_trends_sentiment_negative_ratio |
| 473 | beam_trends_sentiment_review_count |
| 474 | beam_trends_velocity_reviews_per_day |
| 475 | beam_trends_velocity_reviews_per_month |
| 476 | beam_trends_velocity_percentile_city |
| 477 | beam_trends_velocity_percentile_state |
| 478 | beam_trends_velocity_trend |
| 479 | beam_velocity_reviews_per_day |
| 480 | beam_velocity_reviews_per_week |
| 481 | beam_velocity_reviews_per_month |
| 482 | beam_velocity_reviews_last_30d |
| 483 | beam_velocity_reviews_last_90d |
| 484 | beam_velocity_reviews_last_365d |
| 485 | beam_velocity_percentile_1km |
| 486 | beam_velocity_percentile_5km |
| 487 | beam_velocity_percentile_10km |
| 488 | beam_velocity_percentile_city |
| 489 | beam_velocity_percentile_state |
| 490 | beam_velocity_rank_1km |
| 491 | beam_velocity_rank_5km |
| 492 | beam_velocity_rank_10km |
| 493 | beam_velocity_rank_city |
| 494 | beam_velocity_rank_state |
| 495 | beam_velocity_trend |
| 496 | beam_velocity_change_30d |
| 497 | beam_velocity_change_90d |
| 498 | beam_trends_sentiment_recommend_pct |
Usage
from datasets import load_dataset
ds = load_dataset("beamstation/all-restaurants-in-albuquerque-new-mexico-us-161089")
Get the Full Dataset
This is a free sample with masked email and phone data. The full dataset with 1,763 records and unmasked contact data is available at:
All Restaurants in Albuquerque, New Mexico, US on BeamStation
License
This sample is provided for evaluation purposes under the BeamStation Terms of Service.
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