Datasets:

beamstation
/

top-10-active-restaurant-review-whales-in-california-us-138016-138016

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter float64	social_username_twitter float64	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube float64	social_username_youtube float64	social_profile_github float64	social_username_github float64	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest float64	social_username_pinterest float64	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category float64	beam_rank_competition_10km_total float64	beam_rank_competition_10km_reviews float64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count float64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score float64	beam_competitors_10km_rank_by_rating float64	beam_competitors_10km_rank_by_reviews float64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews float64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff float64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius float64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m float64	beam_competitors_10km_closest_competitor_m float64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km float64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
J9QASJA9	Granzella's Restaurant	Food and Drink	Restaurants	Italian restaurant	Italian restaurant	451 6th St, Williams, CA 95987	451 6th St	Williams	California	null	null	95,987	US	true	39.155907	-122.148491	America/Los_Angeles	(530) 47-***	2	OPERATIONAL	true	true	null	true	Williams	California	US	http	http://granzellas.com	granzellas.com	granzellas.com	com	10,100	1998-09-03	2026-09-02	NAMECHEAP INC	purchase_dataset@granzellas.com, purchase_dataset@icloud.com	realdomain	2	2	This old-world joint & deli decorated with taxidermy offers American fare, pizzas & homemade wines.	true	true	4.45	4,350	{"1": 162, "2": 182, "3": 481, "4": 1484, "5": 4741}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great beer selection, Great cocktails, Great coffee, Great dessert, Great tea selection, Great wine list, Serves local specialty, Sports	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Healthy options, Prepared foods, Private dining room, Quick bite, Salad bar, Small plates, Vegetarian options, Wine	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Historic, Trendy	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-10-17	2026-02-03	194	85	24	194	194	85	85	https://www.instagram.com/granzellas	granzellas	https://www.facebook.com/granzellasinc	granzellasinc	null	null	null	null	https://www.linkedin.com/company/granzellas-inc	granzellas-inc	null	null	null	null	null	null	null	null	2,503	0.53	null	0.34	0.53	0.53	622	null	null	null	null	null	null	null	null	https://cdn.shopify.com/s/files/1/1935/8871/files/menu_nov._17_2022.pdf?v=1639190977	null	null	2026-04-24T19:50:26.812321+00:00	13.53	0.15	0.1	14,082.92	1,104.9	71.7593	0.04	89	100	86.6	0.7133	0.4702	0.5779	0.6267	0.6561	0.5625	0.75	null	78.9	82.8	77.27	22.73	0	80.88	17.65	1.47	82.17	14.65	3.18	83.04	14.46	2.49	declining	declining	-0.1077	-3.9	-0.0782	-4.7	22	68	157	401	-13.4	-32.2	-2.9	78.4	38.5	60	100	80.6	100	1	14	1	43	61,396	73	578	598,630	861	620	1	1	17	1	1	5	1	null	null	null	29	28	34	91,865	173,879	786,928	1,595,281	786,928	null	null	null	null	null	0.8875	0	0.3701	0	0.2412	0.925	0	0.1655	0	0.4458	null	16	4	1	7	1	1	0.625	1	0.625	0.5625	63	4.18	375	77.6	0.544	15.4	0.27	3,975	9	0.0845	1	2	1	1	0.75	1	0.75	0.75	59.3	3.7	156	65.4	0.3132	19.1	0.75	4,194	21.2	0.3153	null	null	null	null	Market Leader	null	null	null	null	Market Leader	null	null	null	null	null	null	null	null	null	null	null	17	5	null	455	98	competitive	0.4202	5.09	6.3	6.3	87.5	0	1,328	1,193	concentrated	0.8747	0.05	0	50	50	0	null	null	null	null	null	null	null	null	null	0	0.3246	0	0.2867	30	31	1	14	1	1	0.5667	1	0.5667	0.4333	62.8	4.26	260	80.6	0.5986	15.6	0.19	4,090	6	0.0299	competitive	0.3576	2.34	3.3	20	76.7	0	0.87	0.04	34.02	0.1931	0.8069	-0.1931	-0.1956	180	181	157	166	7	0.1333	0.0833	0.9667	0.0611	0.0278	83.4	4.71	1,433	93.5	0.8401	-5	-0.26	2,917	-6.9	-0.2116	competitive	0.0166	0.0004	1.13	0.04	0.3683	0.0328	0.2935	-0.0328	0.3178	849,634	59.7	3.83	389	76.2	0.4652	18.7	0.62	3,961	0.1633	0.9275	0.5803	0.9993	0.6692	0.6238	59,931	0.8449	10.4	349,361	618	23.1	58	4.5	14.4	849,635	19	61.3	4.36	434	83.4	0.6368	17.1	0.09	3,916	-0.0083	1	0.5	1	0.5	0.3333	1	81.6	-0.82	0.2222	19	54.17	185	432	1.4108	14,107.98	0.05	219,657	93	0.0065	65.26	1,765.41	588.24	7,651.41	2,000	null	null	1,279.08	322.58	2.75	55.25	-0.9	-2	null	null	null	null	null	0.01	38,147	-0.036	-88.6	265,086	-0.35	0.03	-7,111	0.045	-89.12	678,561	-0.872	0	0	0	0	0	0	0.04	-3	0.094	-88.28	-12,523	-0.015	0	-3,069	0.035	-88.24	-1,224	-0.093	0.6285	null	null	1,082	0.17	5	1	0.902	decelerating	0.17	1.17	5	5	54	298	0.891	0.894	null	1	0.866	93,178	98,687	null	1	215	decelerating	-0.06	null	80.78
YU6FB3BF	Flavor of India - Studio City	Food and Drink	Restaurants	Indian restaurant	Indian restaurant, Asian restaurant, Takeout Restaurant, Modern Indian restaurant, Punjabi restaurant, South Asian restaurant, Vegan restaurant	12321 Ventura Blvd, Studio City, CA 91604	12321 Ventura Blvd	Los Angeles	California	Studio City	Studio City	91,604	US	true	34.143258	-118.401648	America/Los_Angeles	(818) 76-***	2	null	true	true	null	true	Los Angeles	California	US	https	https://flavorofindia.com	flavorofindia.com	flavorofindia.com	com	8,866	2002-01-19	2034-01-19	Network Solutions, LLC	null	null	0	0	Quaint Indian eatery supplying classic dishes, including vegetarian options, & a warm environment.	true	true	4.79	2,883	{"1": 61, "2": 23, "3": 41, "4": 208, "5": 2624}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great tea selection, Serves local specialty, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, All you can eat, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Healthy options, Late-night food, Small plates, Vegan options, Vegetarian options, Wine	Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	1	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://restaurantlogin.com/api/fb/k_y5_j_j	https://flavorofindia.com/reservation	https://flavorofindia.com/reservation	2026-04-24T18:38:13.594893+00:00	0	162.16	1.1	536.41	36.7	59.6468	4.86	95.8	100	95.6	0.8969	0.9531	0.942	0.9183	0.9243	0.9747	0.9155	0.9383	97.1	96.2	99.16	0.84	0	98.19	1.51	0.3	97.22	2.55	0.23	97.59	2.08	0.33	stable	stable	0.0111	0.9	0.0177	0.9	119	331	863	1,829	-23.3	-27.6	7.9	79.7	54.5	8	80	98	100	25	4,478	43	166	21,246	248	2,112	234,404	2,923	2,236	25	4	80	1	38	143	1	94	163	8	7	13,466	26,965	91,865	173,879	786,928	1,595,281	786,928	0.7333	0.0593	0.6653	-0.0593	0.3056	0.9658	0.0426	0.3239	-0.0426	0.647	0.8683	0.0423	0.5987	-0.0423	0.3722	162	79	142	4	6	1	0.962	0.9367	1	0.9367	0.9747	57.7	3.92	248	79.5	0.5436	22	0.87	2,635	16.1	0.3513	38	14	1	0.7394	0.9085	1	0.9085	0.9155	75	4.46	659	86.7	0.7024	4.7	0.33	2,224	8.9	0.1925	94	14	8	0.4259	Market Leader	0.9198	0.9568	0.9259	0.9383	Market Leader	78	4.53	1,084	88.6	Strong	0.7462	1.7	0.26	1,799	7	0.1487	80	143	163	615	48	competitive	0.1284	25.15	22.8	10.1	63.3	3.8	3,541	1,054	competitive	0.0299	1.81	4.2	0	70.4	25.4	7,890	5,038	competitive	0.0161	0.52	3.1	0	42	54.9	0.0956	0.7145	-0.0956	0.2564	178	179	133	24	9	0.2584	0.8708	0.9551	0.8764	0.9045	80.9	4.6	1,195	90.7	0.782	-1.2	0.19	1,688	4.9	0.1129	competitive	0.0134	0.14	1.1	0	27	71.9	0.6511	4.92	0.37	0.1931	0.8067	-0.1931	0.1642	180	181	148	72	19	0.1833	0.6056	0.9	0.6278	0.6778	83.4	4.71	1,430	93.5	0.8401	-3.7	0.08	1,453	2.1	0.0548	competitive	0.0111	0.0004	1.13	0.04	0.525	0.0328	0.2935	-0.0328	0.6774	849,634	59.7	3.83	389	76.2	0.4652	20	0.96	2,494	0.4297	0.9509	0.8153	0.9974	0.9013	0.9533	40,411	0.9242	19.4	153,588	2,222	23.1	58	4.5	14.4	849,635	10,742	54.7	4.28	259	78.4	0.5018	25	0.51	2,624	0.3931	0.966	0.7692	0.9983	0.863	0.9359	356	60.55	36.17	0.9424	10,742	0.46	21,903	3,001	0.0546	545.79	0.05	219,657	93	0.0065	65.11	164.87	125	8.92	69.93	2.61	61.35	1.79	55.87	1.23	55.25	1.1	5	null	null	null	null	null	-0.08	172,129	-0.202	-83.09	322,233	-0.407	-0.01	27,339	-0.029	-82.63	-94,670	0.136	-0.02	61,318	-0.078	-82.52	-115,233	0.161	0.03	-1,159	0.077	-82.59	-243,209	0.252	0.03	-7,915	0.081	-82.58	-237,305	0.229	0.8949	null	null	2,651	2	60	0.991	0.993	decelerating	2	14	60	60	227	1,758	0.997	0.998	0.997	0.991	0.991	2,715	2,870	2,882	2	12	decelerating	1.07	null	96.72
QLH86QNF	Benny's Family Restaurant	Food and Drink	Restaurants	Breakfast restaurant	Breakfast restaurant	41196 Big Bear Blvd, Big Bear Lake, CA 92315	41196 Big Bear Blvd	Big Bear Lake	California	null	null	92,315	US	true	34.243795	-116.90336	America/Los_Angeles	(909) 86-***	2	OPERATIONAL	true	true	null	true	Big Bear Lake	California	US	http	http://bennysfamilyrestaurant.com	bennysfamilyrestaurant.com	bennysfamilyrestaurant.com	com	464	2025-01-20	2028-01-20	GoDaddy.com, LLC	null	null	0	0	null	true	false	4.79	3,429	{"1": 65, "2": 36, "3": 78, "4": 324, "5": 3225}	Delivery, Onsite services, Takeout, Dine-in	Great coffee, Great dessert, Serves local specialty	Breakfast, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Coffee, Comfort food, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	Family-friendly, Groups, Tourists	null	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2025-03-15	2026-01-31	410	88	48	410	410	88	88	https://www.instagram.com/bennysfamilyrestaurant29palms	bennysfamilyrestaurant29palms	https://www.facebook.com/61572305122229/photos	61572305122229	null	null	https://www.tiktok.com/@bensfamily.restaurant29	bensfamily.restaurant29	https://www.linkedin.com/in/eugenia-damianakis-48101317	eugenia-damianakis-48101317	null	null	null	null	null	null	null	null	410	3.06	null	1.95	1.78	3.06	47	22	8	264	4.48	null	null	null	4.65	null	null	null	2026-04-24T18:36:00.692645+00:00	3.9	0.33	0	50,550.43	1,441.4	161.7162	0.02	95.8	100	95.5	0.8949	0.9359	0.9139	0.9023	0.9033	1	0.9565	1	95.7	95.2	97.33	2.22	0.44	97.01	2.73	0.26	96.06	3.29	0.65	96.09	3.33	0.58	stable	stable	0.022	0.5	0.0106	0.5	225	770	1,855	3,124	-17	-1.4	-12.3	82.6	47	92	60	96.3	100	1	20	1	95	21,245	146	1,231	234,397	1,733	1,311	1	1	21	1	1	24	1	1	2	1	6	47	99	91,865	173,879	786,928	1,595,281	786,928	1	0	0	0	0.9289	0.985	0.0144	0.2008	-0.0144	0.7281	0.9739	-0.0163	0.3683	0.0163	0.5606	1	20	23	1	2	1	1	0.95	1	0.95	1	63	4.07	836	76.1	0.5244	19.6	0.72	2,593	19.4	0.3898	1	3	1	1	0.913	1	0.913	0.9565	64.6	4	439	77.7	0.4996	18	0.79	2,990	17.8	0.4146	1	1	1	1	Market Leader	1	1	1	1	Market Leader	66.6	4.56	18	88.9	Market Leader	0.7465	16	0.23	3,411	6.6	0.1677	21	24	2	595	92	competitive	0.1702	6.37	10	20	70	0	2,126	1,017	competitive	0.2534	0.29	8.7	13	69.6	8.7	8,451	8,451	concentrated	0.9948	0	0	0	100	0	-0.0018	0.2923	0.0018	0.6366	48	49	1	5	1	1	0.9167	1	0.9167	0.9583	62.2	3.97	549	75.8	0.4912	20.4	0.82	2,880	19.7	0.423	competitive	0.1151	2.88	12.5	16.7	64.6	6.3	0.975	0.02	59.17	0.2042	0.8048	-0.2042	0.1241	180	181	123	71	14	0.3222	0.6111	0.9278	0.6167	0.7611	83.4	4.71	1,433	93.5	0.8396	-0.8	0.08	1,996	2	0.0746	competitive	0.0131	0.0004	1.13	0.04	0.5906	0.0328	0.2935	-0.0328	0.6354	849,634	59.7	3.83	389	76.2	0.4652	22.9	0.96	3,040	0.449	0.9836	0.8153	0.9985	0.8996	0.9629	13,277	0.9376	19.3	153,588	1,306	23.1	58	4.5	14.4	849,635	36	62.6	4.22	683	78.2	0.5411	20	0.57	2,746	0.3731	1	0.8857	1	0.9429	0.9714	1	67.61	28.27	0.9429	36	95.12	105	303	5.2222	52,221.56	0.05	219,657	93	0.0065	65.25	289.53	476.19	642.3	416.67	9,895.83	5,000	132.58	204.08	1.72	55.25	-4.5	-10.6	null	null	null	null	null	0.01	21,512	-0.013	-93.18	245,785	-0.322	-0.09	31,962	-0.016	-93.62	490,620	-0.63	0.07	-112,220	0.179	-93.41	515,512	-0.667	0	0	0	-92.93	-38,824	0.05	-0.01	1,387	-0.014	-92.96	-37,231	0.033	0.9142	null	null	1,480	0.63	19	1	0.989	decelerating	0.63	4.43	19	19	512	1,453	0.985	0.985	0.985	1	0.988	15,300	16,282	16,307	1	42	decelerating	-2.6	null	95.88
MTBR6WMZ	Urban Plates	Food and Drink	Restaurants	New American restaurant	New American restaurant, American restaurant	3055 Olin Ave #1020, San Jose, CA 95128	3055 Olin Ave #1020	San Jose	California	Central San Jose	West San Jose	95,128	US	true	37.320965	-121.949202	America/Los_Angeles	(669) 28-***	2	OPERATIONAL	true	true	null	true	San Jose	California	US	https	https://urbanplates.com	urbanplates.com	urbanplates.com	com	5,708	2010-09-12	2027-09-12	GoDaddy.com, LLC	null	null	0	0	Chef-driven restaurant serving scratch-made plates, salads, sandwiches & bowls, dine-in or to-go.	true	true	4.85	2,930	{"1": 38, "2": 22, "3": 54, "4": 195, "5": 2873}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Healthy options, Organic dishes, Quick bite, Vegan options, Vegetarian options, Wine	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom	Casual, Trendy	Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	1	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://urbanplates.com/order/categories/?store_id=009&service_type_id=2	null	null	2026-04-24T16:52:55.763752+00:00	0	62.5	0.9	1,338.83	118.9	74.0398	1.42	97	100	96.7	0.8125	0.808	0.8239	0.8361	0.8218	0.9804	0.9211	0.9321	91.2	91.1	92.78	2.78	4.44	93.46	2.31	4.23	94.05	1.96	4	93.37	2.43	4.2	stable	stable	-0.0159	0.1	0.0021	0.1	180	520	1,176	1,810	-11.6	14.9	3.8	78.5	56	8	80	90.7	100	3	595	3	161	17,478	240	2,005	189,968	2,781	2,124	3	7	103	1	48	153	1	60	163	3	4	2,754	5,537	91,865	173,879	786,928	1,595,281	786,928	0.8432	0.0498	0.596	-0.0498	0.295	0.9706	0.0185	0.2312	-0.0185	0.6598	0.8684	0.0629	0.5849	-0.0629	0.3061	162	102	152	7	3	1	0.9412	0.9804	1	0.9706	0.9804	57.8	3.71	489	71.9	0.405	20.7	1.14	2,441	24.8	0.4441	48	5	1	0.6908	0.9737	1	0.9737	0.9211	74.7	4.41	754	86	0.6755	3.8	0.44	2,176	10.7	0.1736	60	5	3	0.6358	Market Leader	0.9753	0.9877	0.9691	0.9321	Market Leader	76.1	4.41	840	86	Market Leader	0.6805	2.4	0.44	2,090	10.7	0.1686	103	153	163	457	9	competitive	0.0555	32.47	17.6	24.5	53.9	3.9	3,532	1,069	competitive	0.0249	1.94	3.9	0	77	19.1	7,420	5,113	competitive	0.0211	0.52	2.5	0	74.1	23.5	0.0681	0.6393	-0.0681	0.2517	159	160	71	4	2	0.5597	0.9811	0.9937	0.9748	0.9308	77.5	4.41	858	85.7	0.6728	1	0.44	2,072	11	0.1763	competitive	0.021	0.34	0.6	0	70.4	28.9	0.8163	1.43	1.22	0.2042	0.8036	-0.2042	0.0874	180	181	158	49	19	0.1278	0.7333	0.9	0.7222	0.45	83.4	4.71	1,432	93.6	0.8406	-4.9	0.14	1,498	3.1	0.0085	competitive	0.0112	0.0004	1.13	0.04	0.5411	0.0328	0.2935	-0.0328	0.5975	849,634	59.7	3.83	389	76.2	0.4652	18.8	1.02	2,541	0.3839	0.9295	0.8377	0.9975	0.9158	0.921	58,307	0.9224	20.5	135,294	2,113	23.1	58	4.5	14.4	849,635	2,233	54.7	4.18	266	76.1	0.4641	23.8	0.67	2,664	0.385	0.9619	0.8284	0.9996	0.9171	0.9368	84	60.09	21.64	0.5466	2,233	1.57	6,373	2,161	0.1346	1,345.68	0.05	219,657	93	0.0065	65.21	30.84	97.09	6.22	65.36	4.45	61.35	4.43	62.5	1.26	55.25	-1.7	0.8	null	null	null	null	null	-0.01	60,680	-0.053	-83.31	322,127	-0.407	0	27,854	-0.028	-82.92	-68,768	0.102	0.02	-3,597	0.02	-83.02	4,136	0.006	0	-57	0.019	-82.88	-239,519	0.245	-0.01	-400	0.008	-82.9	-229,786	0.193	0.8491	null	null	1,341	2.5	75	1	1	decelerating	2.5	17.5	75	75	416	1,127	0.998	0.998	0.998	1	0.993	1,861	1,956	1,961	1	3	decelerating	0.27	null	81.73

Top 10% Active Restaurant Review Whales in California, US

Free sample dataset from BeamStation

:Top 10% Active Restaurant Review Whales in California, US is a curated list of 45 high‑traffic dining establishments that consistently rank in the top decile of review volume and footfall within their local markets. Updated weekly, the dataset captures the most actively reviewed restaurants, making it ideal for payment processors, POS vendors, and supply‑chain teams seeking to target venues with proven, ongoing consumer engagement. Each entry includes the restaurant's name, location within California, and the signals that earned its "whale" status, such as sustained review velocity and verified activity. By focusing on this select group, users can prioritize outreach to venues that demonstrate reliable, high‑velocity transaction patterns, improving the efficiency of sales and partnership efforts. Access the full list at https://beamstation.com/datasets/138016/.

Dataset Details

Field	Value
Full dataset	45 records
Sample size	4 records
Location	California
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/top-10-active-restaurant-review-whales-in-california-us-138016")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 45 records and unmasked contact data is available at:

Top 10% Active Restaurant Review Whales in California, US on BeamStation

License

This sample is provided for evaluation purposes under the BeamStation Terms of Service.

Downloads last month: 64

Number of rows:

Total file size:

58.4 kB