Datasets:

beamstation
/

top-10-active-restaurant-review-whales-in-california-us-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	census_place null	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	emails_risky_count int64	description string	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_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube null	social_username_youtube null	social_profile_github string	social_username_github string	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	first_social_post_days_min null	first_social_post_days_max null	last_social_post_days_min null	last_social_post_days_max null	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m null	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	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 int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	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 int64	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 int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	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 int64	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 int64	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 int64	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_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm 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_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_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	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	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 int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d null	beam_trends_sentiment_recommend_pct float64
6CFZ2YU2	Montesacro SoMa	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Italian restaurant, Pizza delivery, Pizza Takeout, Roman restaurant, Wine bar	510 Stevenson St, San Francisco, CA 94103	510 Stevenson St	San Francisco	California	SoMa	South of Market	94,103	US	true	37.781551	-122.410134	America/Los_Angeles	(415) 79-***	3	null	true	San Francisco	California	US	https	https://montesacro.com	montesacro.com	montesacro.com	com	7,374	2006-01-21	2031-01-21	GoDaddy.com, LLC	purchase_dataset@montesacro.com, purchase_dataset@montesacro.com, purchase_dataset@montesacro.com	realdomain	3	3	0	"Industrial-chic enoteca for Roman-style pizza (called \"pinsa\") from a brick oven, plus wine & bee(...TRUNCATED)	4.55	1,345	{"1": 45, "2": 34, "3": 74, "4": 304, "5": 1162}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great wine list	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Healthy options, Late-night food(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom	Casual, Cozy, Romantic, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	"Lunch reservations recommended, Dinner reservations recommended, Accepts reservations, Usually a wa(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/montesacrobk	montesacrobk	https://www.facebook.com/montesacrobrooklyn	montesacrobrooklyn	https://twitter.com/montesacro_sf	montesacro_sf	null	null	https://www.linkedin.com/company/montesacro-investments	montesacro-investments	null	null	null	null	null	null	null	null	7,628	0.27	null	0.75	0.27	0.27	338	null	null	null	null	null	null	null	null	null	null	null	null	https://montesacro.com/menu-soma-sf	https://peerspace.com/pages/listings/68bf8e96546c6987dbf93d0f	https://opentable.com/restaurant/profile/166387	2026-03-31T17:13:49.339207+00:00	0.87	9.68	0	1,836.32	23.1	69.4158	0.93	91	100	90.1	0.7914	1	0.5385	0.6892	0.6036	0.8907	0.8678	0.6923	76.9	80.2	100	0	0	76.92	23.08	0	84.38	15.63	0	78.57	16.67	4.76	improving	declining	0.4615	-3.3	-0.0651	-4.1	2	13	32	84	77.8	52.2	48	83	80.8	60	114	2,122	149	1,508	44,880	1,910	12,426	453,702	15,347	12,826	114	21,729	101	13,822	35,075	101	24,338	182,259	101	462,807	91	3,597	6,884	87,651	163,016	724,238	1,424,284	724,238	0.6407	0.4587	0.661	0.5413	-0.1225	0.9438	0.2118	0.4927	0.7882	0.0458	0.9411	0.3225	0.6702	0.6775	-0.1317	100	100	100	21,729	88,233	13,822	0.9696	0.8722	0.9812	0.8773	0.8907	77.2	4.39	1,080	85	0.6326	1.3	0.16	265	5.1	0.1589	35,075	64,704	24,338	0.9486	0.9047	0.9674	0.9275	0.8678	80.6	4.5	1,543	88.4	0.6809	-2.1	0.05	-198	1.7	0.1106	182,259	153,317	462,807	0.7428	Market Leader	0.7704	0.375	0.8132	0.6923	Market Leader	79.4	4.47	747	87.4	Average	0.6743	-0.9	0.08	598	2.7	0.1172	101	101	101	663	38	competitive	0.0123	31.83	0	0	70	30	2,390	1,017	competitive	0.0086	1.27	0	41	59	6,707	5,022	competitive	0.0177	0.32	48	52	0.3544	0.6802	0.6456	-0.1417	100	101	654	1,283	132	0.8385	0.6789	0.9683	0.7701	0.8794	81	4.52	1,601	88.9	0.7001	-2.5	0.03	-256	1.2	0.0914	competitive	0.0083	0.17	37	63	0.8296	0.94	0.93	0.2539	0.8347	0.7461	-0.2962	100	101	10,916	29,065	1,781	0.8898	0.7056	0.9824	0.7936	0.8771	85	4.78	1,889	95.1	0.8448	-6.5	-0.23	-544	-5	-0.0533	competitive	0.0071	0.0002	1	0.02	0.8623	0.2094	0.3682	0.7906	0.1703	828,388	62.9	3.88	394	76.6	0.4737	15.6	0.67	951	0.3178	0.8857	0.6749	0.9839	0.7757	0.8544	92,503	0.8519	13.5	262,933	13,357	24.3	58.7	7.7	9.2	828,389	3,267	65.5	4.31	368	80.5	0.5162	13	0.24	977	0.2753	0.8344	0.6758	0.9679	0.7664	0.883	528	61.05	28.66	0.8065	3,267	1.14	8,740	1,455	0.1831	1,831.38	0.03	395,382	93	0.0048	47.78	1.51	99.01	0.75	99.01	3.13	99.01	0.69	99.01	0.5	99.01	-10.1	0	7	0	-46.2	null	null	null	null	null	0	8,508	-0.012	0.94	21,728	0.97	0	7,890	-0.01	0.94	35,070	0.949	0.07	-135,387	0.179	0.64	182,254	0.743	0.02	-158,841	0.033	0.83	654	0.839	0.21	-184,805	0.249	0.86	10,916	0.89	0.7915	100	0	1,345	0.3	9	0.848	0.899	stable	0.3	2.1	9	9	23	95	0.873	0.878	0.878	0.848	0.899	101,285	105,220	105,139	23	377	stable	0.07	null	89.71
E7YBJR86	Rodrigo's Mexican Grill - Anaheim	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Restaurant	2681 W La Palma Ave, Anaheim, CA 92801	2681 W La Palma Ave	Anaheim	California	Northwest Anaheim	West Anaheim	92,801	US	true	33.847231	-117.97948	America/Los_Angeles	(714) 99-***	2	null	true	Anaheim	California	US	https	https://rodrigos.com	rodrigos.com	rodrigos.com	com	8,691	2002-06-14	2027-06-14	GoDaddy.com, LLC	purchase_dataset@rodrigos.com	realdomain	1	1	0	Informal restaurant serving familiar Mexican food & margaritas in an upbeat space.	4.33	1,365	{"1": 89, "2": 46, "3": 127, "4": 320, "5": 1004}	Curbside pickup, No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great coffee, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	6	https://www.instagram.com/rodrigosmexicangrill	rodrigosmexicangrill	https://www.facebook.com/rodrigosmexican	rodrigosmexican	https://twitter.com/rodrigosgrill	rodrigosgrill	https://www.tiktok.com/@livbedumb	livbedumb	https://www.linkedin.com/in/flightstudio1	flightstudio1	null	null	https://github.com/rdiazconcha	rdiazconcha	null	null	null	null	8,398	0.44	null	0.37	0.43	0.44	2,268	null	null	null	null	24,700,000	154	419,600,000	13.8	null	19.49	16.36	14.14	https://rodrigos.com	https://google.com/maps/reserve/v/dine/c/iho3uh7uwng?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/iho3uh7uwng?source=pa&opi=79508299	2026-03-30T19:30:01.644060+00:00	7,122.26	3.13	0	3,583.18	37	38.3884	0.37	86.6	100	84	0.6785	1	0.3213	0.5849	0.6328	0.3519	0.5265	0.8372	66.1	81.6	100	0	0	66.67	26.67	6.67	82.05	15.38	2.56	84.62	13.19	2.2	improving	declining	0.6787	-15.5	-0.3115	-19	1	15	39	91	79.6	50.5	100	83	73	58	16	750	18	1,443	77,672	1,832	11,984	707,196	14,785	12,333	16	360,291	36	316,835	191,561	101	120,890	97,073	101	161,646	261	967	1,760	87,651	163,016	724,238	1,424,284	724,238	0.8086	0.3434	0.6573	0.6566	-0.336	0.4666	0.2214	0.3182	0.7786	0.0031	0.7067	0.4218	0.5767	0.5782	-0.2554	100	35	100	360,291	497,138	316,835	0.5038	0.3152	0.5684	0.3045	0.3519	65	3.84	456	73.9	0.4416	15.3	0.49	909	10.1	0.2344	191,561	332,976	120,890	0.7365	0.5357	0.8379	0.5631	0.5265	77	4.27	1,032	81.7	0.5811	3.3	0.06	333	2.3	0.0949	97,073	153,317	161,646	0.8576	Average	0.7704	0.7813	0.7883	0.8372	Strong	80.4	4.47	1,158	87.1	Market Leader	0.7047	-0.1	-0.14	207	-3.1	-0.0287	36	101	101	548	54	competitive	0.0787	11.14	5.7	22.9	65.7	5.7	3,127	1,008	competitive	0.0131	1.27	0	76	24	7,644	5,082	competitive	0.0116	0.32	43	57	0.2485	0.5773	0.7515	-0.256	100	101	53	515	20	0.951	0.5134	0.9824	0.6207	0.7354	77.7	4.3	1,092	82.2	0.608	2.6	0.03	273	1.8	0.068	competitive	0.0123	0.76	69	31	0.8291	0.37	2.24	0.2739	0.8325	0.7261	-0.5112	100	101	6,553	51,473	1,689	0.9332	0.4803	0.9833	0.5722	0.695	85	4.78	1,883	95.1	0.8411	-4.7	-0.45	-518	-11.1	-0.1651	competitive	0.0072	0.0002	1	0.02	0.8124	0.2094	0.3682	0.7906	-0.0469	828,388	62.9	3.88	394	76.6	0.4737	17.4	0.45	971	0.2023	0.9291	0.4828	0.9844	0.5835	0.6873	56,908	0.8118	7.4	419,892	12,858	24.3	58.7	7.7	9.2	828,389	766	62.2	4.23	351	77.2	0.488	18.1	0.1	1,014	0.188	0.9438	0.4706	0.9817	0.5882	0.715	43	61.79	26.45	0.7791	766	2.88	3,468	2,631	0.3149	3,148.66	0.03	395,382	93	0.0048	47.63	61.95	277.78	1.7	99.01	1.36	99.01	1.52	99.01	0.52	99.01	-6.4	0	6	0	-48	null	null	null	null	null	0.01	-37,279	0.05	0.47	360,290	0.504	-0.01	19,194	-0.027	0.71	191,560	0.737	0.01	-21,256	0.026	0.81	97,064	0.858	0.27	-325,154	0.352	0.83	53	0.951	0.14	-189,168	0.292	0.81	6,553	0.933	0.676	100	0	1,365	0.23	7	0.804	0.855	stable	0.23	1.63	7	7	26	105	0.816	0.822	0.822	0.804	0.855	142,983	148,636	148,433	19	1,067	stable	-0.14	null	88.24
YSZYSP3L	SOL Mexican Cocina	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Restaurant	1910 Main St, Irvine, CA 92614	1910 Main St	Irvine	California	Irvine Business Complex	Business District	92,614	US	true	33.684732	-117.852655	America/Los_Angeles	(949) 97-***	2	null	true	Irvine	California	US	https	https://solcocina.com	solcocina.com	solcocina.com	com	6,568	2008-04-06	2027-04-06	Network Solutions, LLC	null	null	0	0	0	Stylish local Mexican chain serving mesquite-grilled steak & seafood dishes, plus margaritas.	4.12	1,182	{"1": 83, "2": 79, "3": 144, "4": 277, "5": 727}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great beer selection, Great cocktails, Live music, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Lively, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	High chairs, Kids' menu	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	https://solcocina.com/menu	https://solcocina.com/reservations	https://solcocina.com/reservations	2026-03-29T20:44:46.830021+00:00	0	3.19	3.9	2,910.59	249.5	56.0488	0.33	82.4	100	76.4	0.5733	0.5	0.4105	0.5554	0.5691	0.4188	0.7825	0.8417	70.5	78.5	100	0	0	70.59	23.53	5.88	78.05	19.51	2.44	77.61	17.91	4.48	improving	declining	0.0895	-8	-0.1586	-10.2	2	17	41	134	64.8	51.5	0	50	74.6	58	14	779	16	2,481	104,613	3,135	22,161	909,469	27,773	23,597	14	507,489	65	611,116	106,160	101	199,879	150,128	101	307,316	361	697	1,415	87,651	163,016	724,238	1,424,284	724,238	0.7005	0.4632	0.697	0.0368	-0.2537	0.2775	0.1911	0.2609	0.3089	0.1824	0.7876	0.375	0.6267	0.125	-0.1834	100	64	100	507,489	473,358	611,116	0.3059	0.347	0.17	0.3839	0.4188	62.2	3.87	247	75.4	0.4612	3.4	0.25	935	1	0.1121	106,160	170,363	199,879	0.8524	0.7568	0.732	0.7955	0.7825	78.8	4.39	888	85.3	0.6525	-13.2	-0.27	294	-8.9	-0.0792	150,128	204,770	307,316	0.7863	Below Average	0.7022	0.5844	0.7462	0.8417	Strong	79.8	4.44	951	86.6	Strong	0.7057	-14.2	-0.32	231	-10.2	-0.1324	65	101	101	670	115	competitive	0.0695	20.37	12.5	15.6	67.2	4.7	3,059	1,175	competitive	0.0131	1.27	0	61	39	7,912	5,127	competitive	0.0123	0.32	48	52	0.3688	0.5614	0.1312	-0.1181	100	101	385	458	15	0.4987	0.3995	0.9807	0.442	0.6018	77.2	4.3	896	83	0.6049	-11.6	-0.18	286	-6.6	-0.0316	competitive	0.013	0.59	71	29	0.6135	0.33	2.51	0.2539	0.8297	0.2461	-0.3864	100	101	52,715	69,659	2,979	0.4768	0.3075	0.9705	0.351	0.5235	85	4.78	1,893	95.2	0.8458	-19.4	-0.66	-711	-18.8	-0.2725	competitive	0.0062	0.0002	1	0.02	0.5741	0.2094	0.3682	0.2906	0.0751	828,388	62.9	3.88	394	76.6	0.4737	2.7	0.24	788	0.0996	0.4872	0.3362	0.9702	0.395	0.5469	422,035	0.5868	-0.2	545,439	24,520	24.3	58.7	7.7	9.2	828,389	580	61.5	4.12	318	75.5	0.4506	4.1	0	864	0.1227	0.5112	0.3661	0.9793	0.4145	0.5838	280	59.57	24.39	0.6908	580	3.25	3,077	1,802	0.2911	2,910.59	0.03	395,382	93	0.0048	47.88	48.3	153.85	1.72	99.01	1.51	99.01	1.7	99.01	0.39	99.01	-4	0	4	0.1	-45.9	null	null	null	null	null	0	-15,961	0.022	0.28	507,486	0.306	0.01	-17,131	0.022	0.79	106,132	0.852	0.02	-52,011	0.067	0.7	150,013	0.786	0.11	-376,885	-0.039	0.61	385	0.499	-0.08	-143,006	-0.164	0.57	52,715	0.477	0.5733	100	0	1,182	0.27	8	0.87	0.887	stable	0.27	1.87	8	8	25	153	0.848	0.854	0.854	0.87	0.887	119,524	124,212	124,100	4	830	stable	0.04	null	83.96
ZP4FN294	I Can Barbecue Korean Grill	Food and Drink	Restaurants	Korean barbecue restaurant	Korean barbecue restaurant	5781 Alton Pkwy, Irvine, CA 92618	5781 Alton Pkwy	Irvine	California	Oak Creek	Oak Creek	92,618	US	true	33.668485	-117.785352	America/Los_Angeles	(949) 50-***	2	null	true	Irvine	California	US	http	http://icanbbq.net	icanbbq.net	icanbbq.net	net	3,721	2016-01-22	2028-01-22	GoDaddy.com, LLC	null	null	0	0	0	Casual joint for all-you-can-eat Korean BBQ with in-table grills in an industrial space.	4.21	1,175	{"1": 126, "2": 58, "3": 105, "4": 304, "5": 1042}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, All you can eat, Beer, Cocktails, Comfort food, Happy hour drinks, Hard liquor, Late-night(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists	Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	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	https://icanbbq.net/menu	https://google.com/maps/reserve/v/dine/c/ng7ksorld7a?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/ng7ksorld7a?source=pa&opi=79508299	2026-03-29T17:23:42.609585+00:00	0	5.98	3.5	2,910.59	249.4	56.0488	0.33	84.2	100	80	0.58	-0.5	0.4166	0.4982	0.4445	0.6416	0.4556	0.7318	70.8	72.2	0	100	0	72	20	8	76	16	8	74.11	19.64	6.25	declining	stable	-0.9166	-1.4	-0.0279	-1.9	1	25	50	112	66.2	55.5	0	50	74.2	58	15	698	17	2,570	94,284	3,247	23,393	830,581	29,285	24,957	15	204,021	16	327,255	277,370	101	310,496	208,143	101	270,892	327	697	1,415	87,651	163,016	724,238	1,424,284	724,238	0.6709	0.3773	0.6311	-0.1273	-0.2145	0.6762	0.3	0.4801	-0.05	-0.0635	0.5678	0.3542	0.4668	-0.1042	-0.0502	100	15	100	204,021	182,582	327,255	0.717	0.7438	0.5543	0.7336	0.6416	67.9	4.24	449	81.7	0.5266	-1	-0.03	726	-1.7	0.0534	277,370	376,191	310,496	0.6226	0.4789	0.5837	0.5056	0.4556	75.4	4.24	762	80.9	0.5629	-8.5	-0.03	413	-0.9	0.0171	208,143	236,527	270,892	0.7077	Strong	0.6588	0.6337	0.6814	0.7318	Average	79.1	4.42	994	85.8	Strong	0.6826	-12.2	-0.21	181	-5.8	-0.1026	16	101	101	332	99	competitive	0.1484	4.77	0	20	73.3	6.7	3,669	1,456	competitive	0.0152	1.27	1	80	19	8,004	5,010	competitive	0.0117	0.32	61	39	0.3688	0.5614	-0.1188	-0.1448	100	101	344	406	17	0.5503	0.4626	0.9794	0.5232	0.6147	77.2	4.3	896	83	0.6049	-10.3	-0.09	279	-3	-0.0249	competitive	0.013	0.59	71	29	0.6527	0.33	2.51	0.2539	0.8297	-0.0039	-0.4131	100	101	48,041	62,738	3,079	0.5232	0.3736	0.9695	0.4369	0.5335	85	4.78	1,893	95.2	0.8458	-18.1	-0.57	-718	-15.2	-0.2658	competitive	0.0062	0.0002	1	0.02	0.6122	0.2094	0.3682	0.0406	0.0484	828,388	62.9	3.88	394	76.6	0.4737	4	0.33	781	0.1063	0.5296	0.3937	0.9685	0.4711	0.555	386,983	0.6205	3.4	496,650	25,863	24.3	58.7	7.7	9.2	828,389	580	61.5	4.12	318	75.5	0.4506	5.4	0.09	857	0.1294	0.5561	0.4301	0.9775	0.5009	0.5907	254	59.57	22.37	0.6408	580	3.25	3,077	1,802	0.2911	2,910.59	0.03	395,382	93	0.0048	47.88	220.33	625	2.31	99.01	1.37	99.01	1.68	99.01	0.38	99.01	-3.6	0	8	-0.1	-41.7	null	null	null	null	null	-0.02	-33,006	0.045	0.68	204,020	0.717	0	4,294	-0.006	0.57	277,368	0.623	-0.01	6,004	-0.011	0.67	208,139	0.708	0.16	-376,926	0.013	0.65	344	0.55	-0.04	-147,680	-0.118	0.61	48,041	0.523	0.58	50	50	1,175	0.5	15	0.857	0.91	stable	0.5	3.5	15	15	40	134	0.944	0.946	0.946	0.857	0.91	47,774	49,638	49,640	2	25	stable	-0.03	null	81.94
ULKN7FA9	Panda Inn	Food and Drink	Restaurants	Chinese restaurant	Chinese restaurant	3488 E Foothill Blvd, Pasadena, CA 91107	3488 E Foothill Blvd	Pasadena	California	Hastings Ranch	North East	91,107	US	true	34.149852	-118.078156	America/Los_Angeles	(626) 79-***	2	null	true	Pasadena	California	US	https	https://pandainn.com/pasadena-location	pandainn.com/pasadena-location	pandainn.com	com	10,485	1997-07-16	2026-07-15	Lexsynergy Limited	purchase_dataset@pandarg.com, purchase_dataset@pandainn.com	realdomain	2	0	2	Local chain offering Mandarin & Sichuan entrees, noodles & more in an informal setting.	4.43	1,298	{"1": 59, "2": 47, "3": 104, "4": 311, "5": 1079}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great tea selection, Great wine list, Serves l(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy, Upscale	Family-friendly, Groups, Tourists	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	5	https://www.instagram.com/pandainn	pandainn	https://www.facebook.com/pandainn	pandainn	https://twitter.com/pandainnprg	pandainnprg	null	null	https://www.linkedin.com/company/panda-inn	panda-inn	null	null	null	null	null	null	https://www.pinterest.com/pandainn	pandainn	18,187	1.63	null	2.04	1.63	1.63	329	null	null	null	null	null	null	null	null	null	null	null	null	https://pandainn.com/menu-2	https://opentable.com/restaurant/profile/37402	https://opentable.com/restaurant/profile/37402	2026-03-28T07:55:47.069998+00:00	13.11	4.02	0	6,572.15	113.4	43.572	0.15	88.6	100	86.1	0.7118	0.75	0.5256	0.7018	0.7167	0.7458	0.7485	0.6674	76.3	85.8	100	0	0	73.17	21.95	4.88	84.82	12.5	2.68	85.37	10.98	3.66	improving	declining	0.2244	-9.5	-0.1911	-11.1	2	41	112	246	80.6	58.3	80	83	80.1	58	15	544	17	1,682	62,712	2,139	13,795	594,968	17,135	14,304	15	265,101	51	354,532	186,485	101	376,375	166,484	101	233,833	174	609	1,252	87,651	163,016	724,238	1,424,284	724,238	0.702	0.3843	0.628	0.3657	-0.0911	0.6058	0.3183	0.4946	0.4317	0.0423	0.6641	0.4367	0.6007	0.3133	-0.0638	100	50	100	265,101	244,778	354,532	0.6333	0.6579	0.5172	0.6185	0.7458	66.7	4.15	431	79.5	0.5622	14.7	0.28	867	6.6	0.1493	186,485	193,590	376,375	0.744	0.7255	0.496	0.7463	0.7485	77.1	4.37	688	84.4	0.6418	4.3	0.06	610	1.7	0.0697	166,484	252,987	233,833	0.765	Average	0.6363	0.6838	0.6726	0.6674	Strong	79.6	4.41	1,046	85.7	Strong	0.6689	1.8	0.02	252	0.4	0.0426	51	101	101	425	61	competitive	0.0569	15.92	6	10	72	12	3,447	1,012	competitive	0.0185	1.27	1	70	29	6,981	5,026	competitive	0.0123	0.32	51	49	0.4821	0.6269	0.2679	-0.09	100	101	48	290	15	0.9255	0.5559	0.9791	0.62	0.7243	79.4	4.42	897	85.9	0.6828	2	0.01	401	0.2	0.0287	competitive	0.0143	1.67	52	48	0.8307	0.15	5.72	0.2739	0.8337	0.4761	-0.2968	100	101	4,443	41,029	1,979	0.9543	0.5844	0.9805	0.6462	0.757	85	4.78	1,884	95.2	0.8418	-3.6	-0.35	-586	-9.1	-0.1303	competitive	0.0068	0.0002	1	0.02	0.8512	0.2094	0.3682	0.5406	0.1687	828,388	62.9	3.88	394	76.6	0.4737	18.5	0.55	904	0.2378	0.9507	0.5693	0.982	0.6494	0.7406	39,353	0.8457	9.5	348,986	14,850	24.3	58.7	7.7	9.2	828,389	508	63.9	4.29	345	79.2	0.5167	17.5	0.14	953	0.1948	0.927	0.5325	0.9822	0.5937	0.7041	37	60.65	28.25	0.7179	508	7.21	1,387	2,318	0.6467	6,466.74	0.03	395,382	93	0.0048	47.66	32.33	196.08	3.43	99.01	1.5	99.01	2.03	99.01	0.47	99.01	-6.9	0	18	0.1	-39.9	null	null	null	null	null	0.03	-80,387	0.109	0.61	265,100	0.633	0.04	-70,972	0.094	0.66	186,484	0.744	0.02	-35,655	0.046	0.7	166,482	0.765	0.26	-336,108	0.343	0.83	48	0.926	0.2	-191,278	0.313	0.85	4,443	0.954	0.7115	100	0	1,298	0.77	23	1	0.982	stable	0.77	5.37	23	23	74	388	0.971	0.972	0.972	1	0.982	25,602	26,553	26,546	1	56	stable	-0.33	null	88.9
62APT5N2	Aleppo's Kitchen	Food and Drink	Restaurants	Mediterranean restaurant	"Mediterranean restaurant, Caterer, Family restaurant, Halal restaurant, Middle Eastern restaurant, (...TRUNCATED)	2414 E Katella Ave, Anaheim, CA 92806	2414 E Katella Ave	Anaheim	California	Southeast Anaheim	Platinum Triangle	92,806	US	true	33.805346	-117.882973	America/Los_Angeles	(714) 99-***	2	null	true	Anaheim	California	US	https	https://alepposkitchen.com	alepposkitchen.com	alepposkitchen.com	com	3,813	2015-10-22	2027-10-22	Register.com - Network Solutions, LLC	purchase_dataset@alepposkitchen.com	realdomain	1	1	0	Mediterranean meals of Syria, Turkey & Armenia are served in a space with murals & a patio.	4.17	1,184	{"1": 132, "2": 68, "3": 83, "4": 185, "5": 846}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fireplace, Great coffee, Great dessert, Great tea selection, Live music, Serves local specialty, Sp(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Coffee, Comfort food, Healthy options, Late-night food, Organic dishes, Small plates, Vegan options(...TRUNCATED)	Breakfast, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/alepposkitchen	alepposkitchen	https://www.facebook.com/alepposkitchen	alepposkitchen	https://twitter.com/alepposkitchen	alepposkitchen	https://www.tiktok.com/@alepposkitchen	alepposkitchen	https://www.linkedin.com/company/alepposkitchen	alepposkitchen	null	null	null	null	null	null	null	null	16,572	19.99	null	0.19	0.32	0.32	557	null	null	null	null	1,607	357	23,000	2.03	null	3.6	2.97	2.03	https://places.singleplatform.com/aleppos-kitchen-0/menu	https://opentable.com/restaurant/profile/1273150	https://opentable.com/restaurant/profile/1273150	2026-03-28T03:40:06.051829+00:00	4.78	8.93	0	3,784.34	44.4	38.3884	0.37	83.4	100	78	0.5745	1	0.8296	0.6835	0.5452	0.1409	0.7424	0.8018	91.5	77.3	100	0	0	88.89	5.56	5.56	83.93	12.5	3.57	76.19	19.73	4.08	improving	improving	0.1704	14.2	0.2844	18.4	2	18	56	147	83	72.4	92	83	88.9	58	31	970	35	2,448	99,212	3,094	21,816	867,979	27,371	23,207	31	578,487	26	637,281	114,757	101	107,219	82,075	101	222,092	348	967	1,760	87,651	163,016	724,238	1,424,284	724,238	0.7863	0.4448	0.7321	0.5552	0.1065	0.249	0.3	0.2993	0.7	0.5393	0.8005	0.2942	0.5967	0.7058	0.2419	100	25	100	578,487	424,168	637,281	0.2112	0.4137	0.1347	0.3677	0.1409	60.4	3.93	221	75.1	0.3614	23.3	0.24	963	2.9	0.2129	114,757	217,819	107,219	0.8411	0.6907	0.8562	0.7163	0.7424	78.6	4.35	1,065	83.9	0.6399	5.1	-0.18	119	-5.9	-0.0656	82,075	170,243	222,092	0.8799	Below Average	0.7482	0.6995	0.78	0.8018	Market Leader	80.6	4.46	1,063	87	Strong	0.6973	3.1	-0.29	121	-9	-0.123	26	101	101	488	13	competitive	0.1764	7.96	8	32	56	4	3,377	1,213	competitive	0.011	1.27	0	62	38	7,583	5,011	competitive	0.011	0.32	42	58	0.2485	0.5721	0.7515	0.2665	100	101	21	667	37	0.9806	0.3784	0.9658	0.4431	0.5624	77.7	4.3	1,094	82.2	0.609	6	-0.13	90	-4.2	-0.0347	competitive	0.0107	0.76	69	31	0.7955	0.37	2.24	0.2539	0.8338	0.7461	0.0048	100	101	1,533	65,971	3,079	0.9839	0.342	0.9695	0.3871	0.526	85	4.78	1,902	95.2	0.8452	-1.3	-0.61	-718	-17.2	-0.2709	competitive	0.0062	0.0002	1	0.02	0.787	0.2094	0.3682	0.7906	0.4704	828,388	62.9	3.88	394	76.6	0.4737	20.8	0.29	790	0.1006	0.9817	0.3661	0.9707	0.4276	0.548	14,523	0.7937	1.4	519,613	24,108	24.3	58.7	7.7	9.2	828,389	766	62.2	4.23	351	77.2	0.488	21.5	-0.06	833	0.0863	0.9804	0.3333	0.9647	0.4222	0.5373	16	61.79	21.1	0.5869	766	2.88	3,468	2,631	0.3154	3,153.88	0.03	395,382	93	0.0048	48.11	311.26	384.62	1.21	99.01	1.21	99.01	1.15	99.01	0.38	99.01	-1.3	-0.01	19	-0.2	-24.8	null	null	null	null	null	0	-14,476	0.021	0.25	578,486	0.211	-0.01	20,750	-0.029	0.8	114,755	0.841	0.05	-101,999	0.137	0.79	82,072	0.88	0.23	-325,186	0.382	0.8	21	0.981	0.11	-194,188	0.343	0.79	1,533	0.984	0.5743	100	0	1,184	0.67	20	0.833	0.895	accelerating	0.67	4.67	20	20	43	168	0.964	0.965	0.965	0.833	0.895	31,295	32,488	32,468	3	106	accelerating	0.4	null	82.89
CE2VCBXC	Tacolicious	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Caterer, Cocktail bar, Taco restaurant	2250 Chestnut St, San Francisco, CA 94123	2250 Chestnut St	San Francisco	California	Marina District	Marina	94,123	US	true	37.8004	-122.440546	America/Los_Angeles	(415) 58-***	2	null	true	San Francisco	California	US	https	https://tacolicious.com	tacolicious.com	tacolicious.com	com	6,196	2009-04-13	2029-04-13	Wild West Domains, LLC	"purchase_dataset@hotmail.com, purchase_dataset@tacolicious.com, purchase_dataset@tacolicious.com, p(...TRUNCATED)	realdomain	8	8	0	Tacos, small plates & tequila drinks are on offer at this popular local chain’s Marina outpost.	4.18	1,205	{"1": 92, "2": 41, "3": 135, "4": 384, "5": 845}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Happy hour drinks, Happy hour food, Hard liquor, Late-night food, Quick b(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	6	https://www.instagram.com/tacolicious	tacolicious	https://www.facebook.com/tacolicioussf	tacolicioussf	https://twitter.com/tacolicious	tacolicious	null	null	https://www.linkedin.com/company/tacolicious	tacolicious	null	null	https://github.com/amberjsharpe	amberjsharpe	null	null	https://www.pinterest.com/saradeseran	saradeseran	16,590	0.11	null	0.11	0.11	0.11	3,445	null	null	null	null	null	null	null	null	null	null	null	null	https://tacolicious.com/menus/#eat	https://opentable.com/restaurant/profile/18274	https://opentable.com/restaurant/profile/18274	2026-03-27T21:39:46.380103+00:00	1.9	6.45	0	1,839.31	15.4	69.4158	0.93	83.6	100	80.6	0.6072	0	0.5833	0.5087	0.1254	0.818	0.8953	0.6991	79.2	56.3	0	0	100	75	16.67	8.33	71.88	21.88	6.25	53.23	41.94	4.84	declining	improving	-0.5833	22.9	0.4579	40.7	1	12	32	62	76.5	39.5	64	83	80.3	100	154	4,737	194	2,218	98,062	2,823	19,096	859,285	23,979	20,211	154	50,240	101	259,942	29,323	101	19,783	150,128	101	307,316	340	3,597	6,884	87,651	163,016	724,238	1,424,284	724,238	0.707	0.4017	0.6409	-0.4017	0.0578	0.8349	0.3213	0.504	-0.3213	0.1947	0.9491	0.3327	0.6657	-0.3327	0.033	100	100	100	50,240	70,201	259,942	0.9303	0.8969	0.6458	0.8914	0.818	73.7	4.42	496	85.4	0.5921	2	-0.24	709	-4.8	0.015	29,323	58,510	19,783	0.9574	0.9135	0.9735	0.9346	0.8953	80.8	4.51	1,616	88.6	0.6918	-5.1	-0.33	-411	-8	-0.0847	150,128	186,708	307,316	0.7863	Market Leader	0.7239	0.5844	0.7716	0.6991	Market Leader	79.8	4.45	951	86.9	Strong	0.6758	-4.1	-0.27	254	-6.3	-0.0687	101	101	101	398	8	competitive	0.0237	31.83	0	3	75	22	3,182	1,534	competitive	0.0074	1.27	0	39	61	6,648	5,065	competitive	0.0125	0.32	48	52	0.3544	0.6757	-0.3544	0.023	100	101	1,047	2,925	176	0.7456	0.2858	0.9577	0.3912	0.5638	80.9	4.52	1,606	88.9	0.7001	-5.2	-0.34	-401	-8.3	-0.093	competitive	0.0074	0.17	38	62	0.6713	0.94	0.93	0.2739	0.8328	-0.2739	-0.1341	100	101	18,767	65,231	2,546	0.812	0.3497	0.9748	0.4571	0.573	85	4.78	1,881	95.2	0.8458	-9.3	-0.6	-676	-14.6	-0.2387	competitive	0.0064	0.0002	1	0.02	0.7222	0.2094	0.3682	-0.2094	0.3305	828,388	62.9	3.88	394	76.6	0.4737	12.8	0.3	811	0.1334	0.8072	0.3727	0.9746	0.4892	0.59	157,359	0.7271	4	514,204	20,940	24.3	58.7	7.7	9.2	828,389	3,267	65.5	4.31	368	80.5	0.5162	10.2	-0.13	837	0.0909	0.7336	0.263	0.9568	0.3726	0.5517	867	61.05	22.03	0.5827	3,267	1.14	8,740	1,455	0.1837	1,837.29	0.03	395,382	93	0.0048	47.58	5.63	99.01	0.55	99.01	1.57	99.01	0.55	99.01	0.41	99.01	-9.7	0	7	-0.1	-58.2	null	null	null	null	null	0.01	-13,960	0.019	0.83	50,239	0.93	-0.01	8,438	-0.01	0.95	29,312	0.957	0.03	-57,823	0.076	0.71	150,108	0.786	-0.14	-147,358	-0.06	0.67	1,047	0.746	0.04	-176,954	0.171	0.72	18,767	0.812	0.6071	0	0	1,205	0.2	6	0.724	0.806	decelerating	0.2	1.4	6	6	24	69	0.774	0.782	0.782	0.724	0.806	173,580	180,528	180,244	50	1,361	decelerating	-0.07	null	83.08
6DEML6YK	Sabores Oaxaqueños Restaurant	Food and Drink	Restaurants	Oaxacan restaurant	Oaxacan restaurant	3337 1/2 W 8th St, Los Angeles, CA 90005	3337 1/2 W 8th St	Los Angeles	California	Koreatown	Koreatown	90,005	US	true	34.057892	-118.301376	America/Los_Angeles	(213) 42-***	2	null	true	Los Angeles	California	US	http	http://missaboresoaxaquenos.com	missaboresoaxaquenos.com	missaboresoaxaquenos.com	com	4,642	2013-07-15	2026-07-15	GoDaddy.com, LLC	null	null	0	0	0	"Colorful, family-friendly eatery offering mole & other traditional Oaxacan dishes, plus live music.(...TRUNCATED)	4.32	1,220	{"1": 122, "2": 41, "3": 76, "4": 210, "5": 1020}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great coffee, Great dessert, Live music, Rooftop seating, Serves local specialty, Spo(...TRUNCATED)	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Prepared foods, Priva(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	purchase_dataset@	true	true	1	null	null	https://www.facebook.com/groups/1709392212414955	groups/1709392212414955	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://misaboresoaxaquenos.com/menu/36408986	https://ordersaboresoaxaquenos.com	https://ordersaboresoaxaquenos.com	2026-03-27T21:19:31.946492+00:00	0	33.33	2.5	417.36	20.9	33.6554	4.18	86.4	100	83.2	0.6494	1	0.6884	0.6524	0.7262	0.855	0.8454	0.894	84.4	86.3	100	0	0	83.33	16.67	0	79.55	15.91	4.55	86.54	11.54	1.92	improving	stable	0.3116	-1.9	-0.0378	-2.2	1	12	44	104	71.1	40.5	8	67	85.2	100	342	12,854	461	2,105	79,590	2,680	17,672	722,183	22,187	18,622	342	39,952	101	170,290	44,889	101	61,728	40,532	101	49,599	270	13,393	26,176	87,651	163,016	724,238	1,424,284	724,238	0.9209	0.3471	0.6878	0.6529	0.0451	0.8675	0.3579	0.594	0.6421	0.1389	0.9069	0.3825	0.6453	0.6175	0.0876	100	100	100	39,952	94,268	170,290	0.9446	0.8645	0.7677	0.8631	0.855	74.7	4.38	568	84.6	0.6109	-4.8	-0.06	652	-1.4	0.0324	44,889	96,562	61,728	0.9361	0.8575	0.9172	0.8696	0.8454	80.3	4.46	1,221	86.8	0.6729	-10.4	-0.14	-1	-3.6	-0.0296	40,532	78,185	49,599	0.9396	Market Leader	0.884	0.9329	0.8948	0.894	Market Leader	81.4	4.53	1,461	88.7	Market Leader	0.721	-11.5	-0.21	-241	-5.5	-0.0777	101	101	101	719	184	competitive	0.021	31.83	0	1	81	18	3,925	1,030	competitive	0.0099	1.27	0	44	56	7,117	5,005	competitive	0.0083	0.32	32	68	0.3402	0.7303	0.6598	0.0026	100	101	4,463	8,716	424	0.7045	0.4208	0.9723	0.5263	0.6695	82.4	4.61	1,627	90.8	0.7526	-12.5	-0.29	-407	-7.6	-0.1093	competitive	0.0074	0.08	26	74	0.6997	4.21	0.21	0.2539	0.8347	0.7461	-0.1018	100	101	37,442	52,721	2,480	0.6276	0.4709	0.9754	0.5426	0.6327	85	4.78	1,889	95.1	0.8448	-15.1	-0.46	-669	-11.9	-0.2015	competitive	0.0064	0.0002	1	0.02	0.685	0.2094	0.3682	0.7906	0.3647	828,388	62.9	3.88	394	76.6	0.4737	7	0.44	826	0.1696	0.628	0.4751	0.9766	0.5582	0.6396	305,545	0.6867	6.6	428,445	19,289	24.3	58.7	7.7	9.2	828,389	10,991	60	4.27	260	78.2	0.4668	9.9	0.05	960	0.1765	0.6984	0.4025	0.9777	0.5104	0.6632	3,279	54.18	32.16	0.73	10,991	0.26	38,987	3,001	0.0417	417.36	0.03	395,382	93	0.0048	47.78	4.43	99.01	0.98	99.01	0.69	99.01	0.55	99.01	0.41	99.01	-5.2	0	8	0	-57.3	null	null	null	null	null	-0.01	996	-0.002	0.87	39,951	0.945	0	-16,290	0.021	0.91	44,886	0.936	0.01	-10,217	0.014	0.92	40,529	0.94	-0.17	-74,695	-0.17	0.7	4,463	0.705	0	-158,279	-0.014	0.69	37,442	0.628	0.6433	100	0	1,220	0.23	7	1	0.947	decelerating	0.23	1.63	7	7	29	116	0.816	0.822	0.822	1	0.947	142,983	148,636	148,433	1	1	decelerating	0.03	null	86.34
DQ8T6WVE	El Portal Restaurant	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	695 E Green St, Pasadena, CA 91101	695 E Green St	Pasadena	California	Playhouse Village	South	91,101	US	true	34.14515	-118.135985	America/Los_Angeles	(626) 79-***	2	null	true	Pasadena	California	US	https	https://elportalrestaurant.com	elportalrestaurant.com	elportalrestaurant.com	com	8,362	2003-05-09	2029-05-09	Network Solutions, LLC	"purchase_dataset@elportalrestaurant.com, purchase_dataset@elportalrestaurant.com, purchase_dataset@(...TRUNCATED)	realdomain	8	7	1	Yucatán-style dishes are on the menu, along with a wide selection of tequilas at this comfy spot.	4.34	1,177	{"1": 52, "2": 50, "3": 112, "4": 294, "5": 821}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Fireplace, Great beer selection, Great cocktails, Live music, Serves local specialty,(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Pr(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Historic, Romantic, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/elportal	elportal	https://www.facebook.com/elportalrestaurantpasadena	elportalrestaurantpasadena	https://twitter.com/mr_pasadena	mr_pasadena	https://www.tiktok.com/@elportalpas	elportalpas	https://www.linkedin.com/in/ramon-arellano-4a3aa053	ramon-arellano-4a3aa053	null	null	null	null	null	null	null	null	3,737	0.77	null	0.83	0.6	0.77	2,015	null	null	null	null	457	39	5,955	7.09	null	3.12	2.31	2.32	https://elportalrestaurant.com/menu-page	https://party-request.tripleseat.com/venues/2td78egd	https://party-request.tripleseat.com/venues/2td78egd	2026-03-27T14:06:55.998774+00:00	2.69	0.87	0.1	6,934.57	113.5	43.572	0.15	86.8	100	83.5	0.6786	0.5	0.75	0.7241	0.6348	0.8669	0.7683	0.5467	87.5	81.7	100	0	0	90	10	0	84.78	13.04	2.17	81.82	15.15	3.03	declining	improving	-0.25	5.8	0.1152	7.1	1	10	46	99	81.3	38.5	92	83	87.4	100	27	682	30	2,542	76,300	3,211	23,017	697,422	28,825	24,533	27	50,240	101	222,445	140,789	101	206,532	241,574	101	305,490	260	609	1,252	87,651	163,016	724,238	1,424,284	724,238	0.5995	0.4493	0.6367	0.3007	-0.0668	0.8428	0.3608	0.5251	0.3892	0.0448	0.7464	0.4017	0.5996	0.3483	-0.0297	100	100	100	50,240	88,233	222,445	0.9303	0.8722	0.6967	0.8738	0.8669	73.7	4.39	524	84.9	0.618	5.1	-0.05	653	-1.4	0.0604	140,789	217,819	206,532	0.8057	0.6907	0.723	0.7226	0.7683	78	4.35	879	84	0.6481	0.8	-0.01	298	-0.5	0.0303	241,574	335,515	305,490	0.6637	Market Leader	0.5266	0.5868	0.5791	0.5467	Strong	78.7	4.36	953	84.5	Average	0.6407	0.1	-0.02	224	-1	0.0377	101	101	101	508	59	competitive	0.022	31.83	0	9	64	27	2,443	1,027	competitive	0.0132	1.27	0	65	35	7,226	5,196	competitive	0.0122	0.32	58	42	0.4821	0.6265	0.2679	-0.0566	100	101	113	374	31	0.8331	0.4277	0.9553	0.4918	0.6542	79.4	4.42	898	85.9	0.6831	-0.6	-0.08	279	-2.4	-0.0047	competitive	0.0129	1.67	51	49	0.7481	0.15	5.72	0.2539	0.8331	0.4961	-0.2632	100	101	10,076	50,469	3,281	0.8979	0.4926	0.9675	0.5528	0.6923	85	4.78	1,906	95.2	0.845	-6.2	-0.44	-729	-11.7	-0.1666	competitive	0.0061	0.0002	1	0.02	0.7972	0.2094	0.3682	0.5406	0.2017	828,388	62.9	3.88	394	76.6	0.4737	15.9	0.46	783	0.2047	0.8935	0.4931	0.969	0.5698	0.6909	86,033	0.7961	6.9	413,304	25,472	24.3	58.7	7.7	9.2	828,389	508	63.9	4.29	345	79.2	0.5167	14.9	0.05	832	0.1617	0.8225	0.3964	0.9665	0.4635	0.6391	89	60.65	26.52	0.6469	508	7.21	1,387	2,318	0.6475	6,475.46	0.03	395,382	93	0.0048	48.2	4.83	99.01	1.75	99.01	1.49	99.01	1.67	99.01	0.38	99.01	-7.6	0	2	0	-58.9	null	null	null	null	null	0	-6,993	0.01	0.84	50,239	0.93	0.03	-39,504	0.053	0.75	140,787	0.806	0.01	-9,289	0.011	0.6	241,570	0.664	0.17	-336,043	0.25	0.75	113	0.833	0.14	-185,645	0.257	0.8	10,076	0.898	0.6784	100	0	1,177	0.17	5	0.774	0.746	decelerating	0.17	1.17	5	5	20	106	0.719	0.729	0.729	0.774	0.746	213,014	221,732	221,154	23	1,827	decelerating	0	null	87.17
7H5MDGKV	LALA'S Argentine Grill On Melrose	Food and Drink	Restaurants	Argentinian restaurant	"Argentinian restaurant, Chicken restaurant, Italian restaurant, Latin American restaurant, Lunch re(...TRUNCATED)	7229 Melrose Ave, Los Angeles, CA 90046	7229 Melrose Ave	Los Angeles	California	Fairfax	Mid City West	90,046	US	true	34.083881	-118.347313	America/Los_Angeles	(323) 93-***	2	null	true	Los Angeles	California	US	https	https://lalasgrill.com	lalasgrill.com	lalasgrill.com	com	9,794	1999-06-07	2034-06-07	GoDaddy.com, LLC	null	null	0	0	0	Unassuming restaurant offering a menu of classic Argentinian dishes, plus American options.	4.52	1,520	{"1": 67, "2": 40, "3": 89, "4": 359, "5": 1372}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great wine list, (...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	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	https://menewly.com/lalas	https://lalasgrill.com/reservation.html	https://lalasgrill.com/reservation.html	2026-03-26T13:01:50.085734+00:00	0	52.38	2.5	417.26	20.8	33.6554	4.17	90.4	100	89.6	0.4898	1	0.7727	0.7244	0.6374	0.8147	0.9114	0.7693	88.6	81.9	100	0	0	90.91	9.09	0	94.03	4.48	1.49	88.51	4.6	6.9	improving	improving	0.2273	6.7	0.1353	8.2	1	11	67	174	72.1	53.5	0	67	72.7	98	158	8,577	219	1,054	48,873	1,346	9,081	486,496	11,137	9,303	158	70,267	101	248,966	47,822	101	55,946	97,073	101	81,090	111	13,393	26,176	87,651	163,016	724,238	1,424,284	724,238	0.8481	0.3812	0.6554	0.6188	0.1523	0.8306	0.354	0.5528	0.646	0.2549	0.9115	0.3291	0.6264	0.6709	0.1813	100	100	100	70,267	64,628	248,966	0.9024	0.9048	0.6606	0.8949	0.8147	72.3	4.43	504	85.5	0.5906	-3.2	0.09	1,016	4.1	-0.1054	47,822	87,463	55,946	0.9319	0.871	0.925	0.8783	0.9114	80.2	4.47	1,250	87	0.6992	-11.1	0.05	270	2.6	-0.214	97,073	136,818	81,090	0.8576	Market Leader	0.7933	0.8902	0.83	0.7693	Market Leader	80.4	4.48	1,336	87.6	Market Leader	0.6904	-11.3	0.04	184	2	-0.2052	101	101	101	593	63	competitive	0.0292	31.83	0	9	70	21	2,987	1,189	competitive	0.012	1.27	0	42	58	7,800	5,012	competitive	0.0113	0.32	41	59	0.3452	0.7336	0.6548	0.0741	100	101	4,850	5,817	190	0.6802	0.6126	0.9876	0.7337	0.4743	82.4	4.6	1,627	90.7	0.7507	-13.3	-0.08	-107	-1.1	-0.2655	competitive	0.0093	0.08	26	74	0.7521	4.21	0.21	0.2639	0.8333	0.7361	-0.0256	100	101	40,268	31,694	1,270	0.5996	0.6788	0.9875	0.7741	0.4134	85	4.78	1,900	95.2	0.8461	-15.9	-0.26	-380	-5.6	-0.3609	competitive	0.0079	0.0002	1	0.02	0.7397	0.2094	0.3682	0.7906	0.4395	828,388	62.9	3.88	394	76.6	0.4737	6.2	0.64	1,126	0.0115	0.6019	0.6507	0.9882	0.76	0.4461	327,093	0.7324	13	282,711	9,771	24.3	58.7	7.7	9.2	828,389	10,991	60	4.27	260	78.2	0.4668	9.1	0.25	1,260	0.0184	0.6763	0.5976	0.9897	0.7289	0.459	3,533	54.18	-19.34	0.3308	10,991	0.26	38,987	3,001	0.0417	417.26	0.03	395,382	93	0.0048	48.05	8.55	99.01	1.44	99.01	1.27	99.01	0.86	99.01	0.63	99.01	-4.2	0	10	-0.1	-45.3	null	null	null	null	null	0.01	-31,968	0.045	0.83	70,266	0.902	0	-5,538	0.006	0.91	47,821	0.932	-0.02	22,655	-0.034	0.85	97,068	0.858	-0.11	-74,308	-0.195	0.75	4,850	0.68	0.06	-155,453	-0.042	0.74	40,268	0.6	0.4852	100	0	1,520	0.37	11	0.833	0.909	stable	0.37	2.57	11	11	29	191	0.908	0.911	0.911	0.833	0.909	75,655	78,604	78,576	3	7	stable	0.04	null	34.84

Top 10% Active Restaurant Review Whales in California, US

Free sample dataset from BeamStation

--High-Volume, Active targets--

This dataset lists the top 10% most active restaurant review contributors in California, US. It contains 1,862 records that are refreshed weekly, ensuring the list reflects current high‑volume reviewers. Each entry represents a reviewer who consistently generates substantial foot traffic and review activity within a localized market, making them valuable targets for payment processors, POS vendors, and supply‑chain sales teams seeking engaged, transacting accounts. The "Active Heartbeat" validation signal confirms ongoing activity, helping users identify reliable, high‑velocity prospects for outreach or partnership opportunities. Marketing, sales, and analytics professionals focused on the California restaurant ecosystem can leverage this list to prioritize leads, tailor campaigns, and monitor trends among influential reviewers. The dataset is accessible via the provided URL for direct download or integration into existing workflows.

Dataset Details

Field	Value
Full dataset	1,862 records
Sample size	10 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, ... (484 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	`census_place`
22	`verified_census_city`
23	`beam_location_name`
24	`beam_state_code`
25	`beam_country_code`
26	`website_protocol`
27	`website`
28	`website_normalized`
29	`website_domain`
30	`website_domain_tld`
31	`website_domain_age`
32	`website_domain_registered`
33	`website_domain_expires`
34	`website_domain_registrar`
35	`emails_list`
36	`emails_list_website_domain`
37	`emails_count`
38	`emails_deliverable_count`
39	`emails_risky_count`
40	`description`
41	`rating`
42	`reviews_total_count`
43	`reviews_per_rating`
44	`service_options`
45	`highlights`
46	`popular_for`
47	`accessibility`
48	`offerings`
49	`dining_options`
50	`amenities`
51	`atmosphere`
52	`crowd`
53	`planning`
54	`payments`
55	`children`
56	`has_website`
57	`has_email`
58	`has_social`
59	`has_phone`
60	`socials_count`
61	`social_profile_instagram`
62	`social_username_instagram`
63	`social_profile_facebook`
64	`social_username_facebook`
65	`social_profile_twitter`
66	`social_username_twitter`
67	`social_profile_tiktok`
68	`social_username_tiktok`
69	`social_profile_linkedin`
70	`social_username_linkedin`
71	`social_profile_youtube`
72	`social_username_youtube`
73	`social_profile_github`
74	`social_username_github`
75	`social_profile_snapchat`
76	`social_username_snapchat`
77	`social_profile_pinterest`
78	`social_username_pinterest`
79	`instagram_followers`
80	`instagram_engagement_rate`
81	`instagram_engagement_rate_1m`
82	`instagram_engagement_rate_3m`
83	`instagram_engagement_rate_6m`
84	`instagram_engagement_rate_12m`
85	`instagram_post_count`
86	`first_social_post_days_min`
87	`first_social_post_days_max`
88	`last_social_post_days_min`
89	`last_social_post_days_max`
90	`tiktok_followers`
91	`tiktok_video_count`
92	`tiktok_heart_count`
93	`tiktok_engagement_rate`
94	`tiktok_engagement_rate_1m`
95	`tiktok_engagement_rate_3m`
96	`tiktok_engagement_rate_6m`
97	`tiktok_engagement_rate_12m`
98	`menu_link`
99	`order_links`
100	`reservation_link`
101	`last_updated_at`
102	`beam_cross_social_market_penetration`
103	`beam_cross_velocity_quality`
104	`beam_cross_social_urgency`
105	`beam_cross_per_capita_engagement`
106	`beam_cross_market_saturation_lead`
107	`beam_cross_population_adjusted_rank`
108	`beam_cross_demand_gap_index`
109	`beam_rating_score`
110	`beam_review_confidence`
111	`beam_rating_health`
112	`sentiment_avg`
113	`sentiment_avg_30d`
114	`sentiment_avg_90d`
115	`sentiment_avg_180d`
116	`sentiment_avg_360d`
117	`sentiment_percentile_1km`
118	`sentiment_percentile_5km`
119	`sentiment_percentile_10km`
120	`sentiment_score_90d`
121	`sentiment_score_360d`
122	`sentiment_positive_pct_30d`
123	`sentiment_negative_pct_30d`
124	`sentiment_neutral_pct_30d`
125	`sentiment_positive_pct_90d`
126	`sentiment_negative_pct_90d`
127	`sentiment_neutral_pct_90d`
128	`sentiment_positive_pct_180d`
129	`sentiment_negative_pct_180d`
130	`sentiment_neutral_pct_180d`
131	`sentiment_positive_pct_360d`
132	`sentiment_negative_pct_360d`
133	`sentiment_neutral_pct_360d`
134	`sentiment_trend_30vs90d`
135	`sentiment_trend_90vs360d`
136	`sentiment_diff_30vs90d`
137	`sentiment_change_360d`
138	`sentiment_diff_90vs360d`
139	`sentiment_change_pct_360d`
140	`reviews_count_30d`
141	`reviews_count_90d`
142	`reviews_count_180d`
143	`reviews_count_360d`
144	`beam_score_overall`
145	`beam_popularity_percentile`
146	`beam_social_presence`
147	`beam_data_completeness`
148	`beam_price_value`
149	`beam_data_freshness`
150	`beam_rank_city_category`
151	`beam_rank_city_overall`
152	`beam_rank_city_reviews`
153	`beam_rank_state_category`
154	`beam_rank_state_overall`
155	`beam_rank_state_reviews`
156	`beam_rank_country_category`
157	`beam_rank_country_overall`
158	`beam_rank_country_reviews`
159	`beam_rank_place_global_category`
160	`beam_rank_category`
161	`beam_rank_competition_1km_category`
162	`beam_rank_competition_1km_total`
163	`beam_rank_competition_1km_reviews`
164	`beam_rank_competition_5km_category`
165	`beam_rank_competition_5km_total`
166	`beam_rank_competition_5km_reviews`
167	`beam_rank_competition_10km_category`
168	`beam_rank_competition_10km_total`
169	`beam_rank_competition_10km_reviews`
170	`beam_export_rank`
171	`total_city_category`
172	`total_city`
173	`total_state_category`
174	`total_state`
175	`total_country_category`
176	`total_country`
177	`total_category_global`
178	`beam_competitors_10km_competitive_strength`
179	`beam_competitors_10km_competitor_avg_sentiment_30d`
180	`beam_competitors_10km_competitor_avg_sentiment_90d`
181	`beam_competitors_10km_sentiment_diff_30d`
182	`beam_competitors_10km_sentiment_diff_90d`
183	`beam_competitors_1km_competitive_strength`
184	`beam_competitors_1km_competitor_avg_sentiment_30d`
185	`beam_competitors_1km_competitor_avg_sentiment_90d`
186	`beam_competitors_1km_sentiment_diff_30d`
187	`beam_competitors_1km_sentiment_diff_90d`
188	`beam_competitors_5km_competitive_strength`
189	`beam_competitors_5km_competitor_avg_sentiment_30d`
190	`beam_competitors_5km_competitor_avg_sentiment_90d`
191	`beam_competitors_5km_sentiment_diff_30d`
192	`beam_competitors_5km_sentiment_diff_90d`
193	`beam_competitors_10km_competitor_count`
194	`beam_competitors_1km_competitor_count`
195	`beam_competitors_5km_competitor_count`
196	`beam_competitors_1km_rank_by_score`
197	`beam_competitors_1km_rank_by_rating`
198	`beam_competitors_1km_rank_by_reviews`
199	`beam_competitors_1km_score_percentile`
200	`beam_competitors_1km_rating_percentile`
201	`beam_competitors_1km_reviews_percentile`
202	`beam_competitors_1km_health_percentile`
203	`beam_competitors_1km_sentiment_percentile`
204	`beam_competitors_1km_competitor_avg_score`
205	`beam_competitors_1km_competitor_avg_rating`
206	`beam_competitors_1km_competitor_avg_reviews`
207	`beam_competitors_1km_competitor_avg_health`
208	`beam_competitors_1km_competitor_avg_sentiment`
209	`beam_competitors_1km_score_diff`
210	`beam_competitors_1km_rating_diff`
211	`beam_competitors_1km_reviews_diff`
212	`beam_competitors_1km_health_diff`
213	`beam_competitors_1km_sentiment_diff`
214	`beam_competitors_5km_rank_by_score`
215	`beam_competitors_5km_rank_by_rating`
216	`beam_competitors_5km_rank_by_reviews`
217	`beam_competitors_5km_score_percentile`
218	`beam_competitors_5km_rating_percentile`
219	`beam_competitors_5km_reviews_percentile`
220	`beam_competitors_5km_health_percentile`
221	`beam_competitors_5km_sentiment_percentile`
222	`beam_competitors_5km_competitor_avg_score`
223	`beam_competitors_5km_competitor_avg_rating`
224	`beam_competitors_5km_competitor_avg_reviews`
225	`beam_competitors_5km_competitor_avg_health`
226	`beam_competitors_5km_competitor_avg_sentiment`
227	`beam_competitors_5km_score_diff`
228	`beam_competitors_5km_rating_diff`
229	`beam_competitors_5km_reviews_diff`
230	`beam_competitors_5km_health_diff`
231	`beam_competitors_5km_sentiment_diff`
232	`beam_competitors_10km_rank_by_score`
233	`beam_competitors_10km_rank_by_rating`
234	`beam_competitors_10km_rank_by_reviews`
235	`beam_competitors_10km_score_percentile`
236	`beam_competitors_1km_competitive_tier`
237	`beam_competitors_10km_rating_percentile`
238	`beam_competitors_10km_reviews_percentile`
239	`beam_competitors_10km_health_percentile`
240	`beam_competitors_10km_sentiment_percentile`
241	`beam_competitors_5km_competitive_tier`
242	`beam_competitors_10km_competitor_avg_score`
243	`beam_competitors_10km_competitor_avg_rating`
244	`beam_competitors_10km_competitor_avg_reviews`
245	`beam_competitors_10km_competitor_avg_health`
246	`beam_competitors_10km_competitive_tier`
247	`beam_competitors_10km_competitor_avg_sentiment`
248	`beam_competitors_10km_score_diff`
249	`beam_competitors_10km_rating_diff`
250	`beam_competitors_10km_reviews_diff`
251	`beam_competitors_10km_health_diff`
252	`beam_competitors_10km_sentiment_diff`
253	`beam_competitors_1km_total_in_radius`
254	`beam_competitors_5km_total_in_radius`
255	`beam_competitors_10km_total_in_radius`
256	`beam_competitors_1km_avg_distance_m`
257	`beam_competitors_1km_closest_competitor_m`
258	`beam_competitors_1km_market_type`
259	`beam_competitors_1km_review_share`
260	`beam_competitors_1km_density_per_sqkm`
261	`beam_competitors_1km_tier_below_40`
262	`beam_competitors_1km_tier_40_59`
263	`beam_competitors_1km_tier_60_79`
264	`beam_competitors_1km_tier_80_100`
265	`beam_competitors_5km_avg_distance_m`
266	`beam_competitors_5km_closest_competitor_m`
267	`beam_competitors_5km_market_type`
268	`beam_competitors_5km_review_share`
269	`beam_competitors_5km_density_per_sqkm`
270	`beam_competitors_5km_tier_below_40`
271	`beam_competitors_5km_tier_40_59`
272	`beam_competitors_5km_tier_60_79`
273	`beam_competitors_5km_tier_80_100`
274	`beam_competitors_10km_avg_distance_m`
275	`beam_competitors_10km_closest_competitor_m`
276	`beam_competitors_10km_market_type`
277	`beam_competitors_10km_review_share`
278	`beam_competitors_10km_density_per_sqkm`
279	`beam_competitors_10km_tier_below_40`
280	`beam_competitors_10km_tier_40_59`
281	`beam_competitors_10km_tier_60_79`
282	`beam_competitors_10km_tier_80_100`
283	`beam_competitors_city_competitor_avg_sentiment_30d`
284	`beam_competitors_city_competitor_avg_sentiment_90d`
285	`beam_competitors_city_sentiment_diff_30d`
286	`beam_competitors_city_sentiment_diff_90d`
287	`beam_competitors_city_competitor_count`
288	`beam_competitors_city_total_in_city`
289	`beam_competitors_city_rank_by_score`
290	`beam_competitors_city_rank_by_rating`
291	`beam_competitors_city_rank_by_reviews`
292	`beam_competitors_city_score_percentile`
293	`beam_competitors_city_rating_percentile`
294	`beam_competitors_city_reviews_percentile`
295	`beam_competitors_city_health_percentile`
296	`beam_competitors_city_sentiment_percentile`
297	`beam_competitors_city_competitor_avg_score`
298	`beam_competitors_city_competitor_avg_rating`
299	`beam_competitors_city_competitor_avg_reviews`
300	`beam_competitors_city_competitor_avg_health`
301	`beam_competitors_city_competitor_avg_sentiment`
302	`beam_competitors_city_score_diff`
303	`beam_competitors_city_rating_diff`
304	`beam_competitors_city_reviews_diff`
305	`beam_competitors_city_health_diff`
306	`beam_competitors_city_sentiment_diff`
307	`beam_competitors_city_market_type`
308	`beam_competitors_city_review_share`
309	`beam_competitors_city_density_per_sqkm`
310	`beam_competitors_city_tier_below_40`
311	`beam_competitors_city_tier_40_59`
312	`beam_competitors_city_tier_60_79`
313	`beam_competitors_city_tier_80_100`
314	`beam_competitors_city_competitive_strength`
315	`beam_competitors_city_underserved_score`
316	`beam_competitors_city_competition_intensity`
317	`beam_competitors_state_competitor_avg_sentiment_30d`
318	`beam_competitors_state_competitor_avg_sentiment_90d`
319	`beam_competitors_state_sentiment_diff_30d`
320	`beam_competitors_state_sentiment_diff_90d`
321	`beam_competitors_state_competitor_count`
322	`beam_competitors_state_total_in_state`
323	`beam_competitors_state_rank_by_score`
324	`beam_competitors_state_rank_by_rating`
325	`beam_competitors_state_rank_by_reviews`
326	`beam_competitors_state_score_percentile`
327	`beam_competitors_state_rating_percentile`
328	`beam_competitors_state_reviews_percentile`
329	`beam_competitors_state_health_percentile`
330	`beam_competitors_state_sentiment_percentile`
331	`beam_competitors_state_competitor_avg_score`
332	`beam_competitors_state_competitor_avg_rating`
333	`beam_competitors_state_competitor_avg_reviews`
334	`beam_competitors_state_competitor_avg_health`
335	`beam_competitors_state_competitor_avg_sentiment`
336	`beam_competitors_state_score_diff`
337	`beam_competitors_state_rating_diff`
338	`beam_competitors_state_reviews_diff`
339	`beam_competitors_state_health_diff`
340	`beam_competitors_state_sentiment_diff`
341	`beam_competitors_state_market_type`
342	`beam_competitors_state_review_share`
343	`beam_competitors_state_density_per_sqkm`
344	`beam_competitors_state_underserved_score`
345	`beam_competitors_state_competition_intensity`
346	`beam_competitors_state_competitive_strength`
347	`beam_competitors_country_competitor_avg_sentiment_30d`
348	`beam_competitors_country_competitor_avg_sentiment_90d`
349	`beam_competitors_country_sentiment_diff_30d`
350	`beam_competitors_country_sentiment_diff_90d`
351	`beam_competitors_country_competitor_count`
352	`beam_competitors_country_competitor_avg_score`
353	`beam_competitors_country_competitor_avg_rating`
354	`beam_competitors_country_competitor_avg_reviews`
355	`beam_competitors_country_competitor_avg_health`
356	`beam_competitors_country_competitor_avg_sentiment`
357	`beam_competitors_country_score_diff`
358	`beam_competitors_country_rating_diff`
359	`beam_competitors_country_reviews_diff`
360	`beam_competitors_country_sentiment_diff`
361	`beam_competitors_country_score_percentile`
362	`beam_competitors_country_rating_percentile`
363	`beam_competitors_country_reviews_percentile`
364	`beam_competitors_country_health_percentile`
365	`beam_competitors_country_sentiment_percentile`
366	`beam_competitors_country_rank_by_score`
367	`beam_competitors_country_competitive_strength`
368	`beam_competitors_country_health_diff`
369	`beam_competitors_country_rank_by_rating`
370	`beam_competitors_country_rank_by_reviews`
371	`beam_competitors_country_tier_40_59`
372	`beam_competitors_country_tier_60_79`
373	`beam_competitors_country_tier_80_100`
374	`beam_competitors_country_tier_below_40`
375	`beam_competitors_country_total_in_country`
376	`beam_competitors_city_siblings_competitor_count`
377	`beam_competitors_city_siblings_competitor_avg_score`
378	`beam_competitors_city_siblings_competitor_avg_rating`
379	`beam_competitors_city_siblings_competitor_avg_reviews`
380	`beam_competitors_city_siblings_competitor_avg_health`
381	`beam_competitors_city_siblings_competitor_avg_sentiment`
382	`beam_competitors_city_siblings_score_diff`
383	`beam_competitors_city_siblings_rating_diff`
384	`beam_competitors_city_siblings_reviews_diff`
385	`beam_competitors_city_siblings_sentiment_diff`
386	`beam_competitors_city_siblings_score_percentile`
387	`beam_competitors_city_siblings_rating_percentile`
388	`beam_competitors_city_siblings_reviews_percentile`
389	`beam_competitors_city_siblings_health_percentile`
390	`beam_competitors_city_siblings_sentiment_percentile`
391	`beam_competitors_city_siblings_rank_by_score`
392	`beam_competitors_city_siblings_competitor_avg_recommend_pct`
393	`beam_competitors_city_siblings_recommend_pct_diff`
394	`beam_competitors_city_siblings_recommend_pct_percentile`
395	`beam_competitors_city_siblings_total_siblings`
396	`beam_competitors_city_businesses_per_10k_pop`
397	`beam_competitors_city_population_per_business`
398	`beam_competitors_city_population_density`
399	`beam_competitors_city_reviews_per_capita`
400	`beam_competitors_city_reviews_per_10k_pop`
401	`beam_competitors_state_businesses_per_10k_pop`
402	`beam_competitors_state_population_per_business`
403	`beam_competitors_state_population_density`
404	`beam_competitors_state_reviews_per_capita`
405	`beam_competitors_state_reviews_per_10k_pop`
406	`beam_competitors_1km_hhi_contribution`
407	`beam_competitors_1km_hhi_minimum`
408	`beam_competitors_5km_hhi_contribution`
409	`beam_competitors_5km_hhi_minimum`
410	`beam_competitors_10km_hhi_contribution`
411	`beam_competitors_10km_hhi_minimum`
412	`beam_competitors_city_hhi_contribution`
413	`beam_competitors_city_hhi_minimum`
414	`beam_competitors_state_hhi_contribution`
415	`beam_competitors_state_hhi_minimum`
416	`beam_trends_score_30d_beam_score_overall`
417	`beam_trends_score_30d_rating`
418	`beam_trends_score_30d_review_count`
419	`beam_trends_score_30d_beam_rating_health`
420	`beam_trends_score_30d_beam_popularity_percentile`
421	`beam_trends_score_90d_beam_score_overall`
422	`beam_trends_score_90d_rating`
423	`beam_trends_score_90d_review_count`
424	`beam_trends_score_90d_beam_rating_health`
425	`beam_trends_score_90d_beam_popularity_percentile`
426	`beam_trends_competitive_1km_30d_strength_change`
427	`beam_trends_competitive_1km_30d_rank_change`
428	`beam_trends_competitive_1km_30d_percentile_change`
429	`beam_trends_competitive_1km_90d_strength_change`
430	`beam_trends_competitive_1km_90d_rank_change`
431	`beam_trends_competitive_1km_90d_percentile_change`
432	`beam_trends_competitive_5km_30d_strength_change`
433	`beam_trends_competitive_5km_30d_rank_change`
434	`beam_trends_competitive_5km_30d_percentile_change`
435	`beam_trends_competitive_5km_90d_strength_change`
436	`beam_trends_competitive_5km_90d_rank_change`
437	`beam_trends_competitive_5km_90d_percentile_change`
438	`beam_trends_competitive_10km_30d_strength_change`
439	`beam_trends_competitive_10km_30d_rank_change`
440	`beam_trends_competitive_10km_30d_percentile_change`
441	`beam_trends_competitive_10km_90d_strength_change`
442	`beam_trends_competitive_10km_90d_rank_change`
443	`beam_trends_competitive_10km_90d_percentile_change`
444	`beam_trends_competitive_city_30d_strength_change`
445	`beam_trends_competitive_city_30d_rank_change`
446	`beam_trends_competitive_city_30d_percentile_change`
447	`beam_trends_competitive_city_90d_strength_change`
448	`beam_trends_competitive_city_90d_rank_change`
449	`beam_trends_competitive_city_90d_percentile_change`
450	`beam_trends_competitive_state_30d_strength_change`
451	`beam_trends_competitive_state_30d_rank_change`
452	`beam_trends_competitive_state_30d_percentile_change`
453	`beam_trends_competitive_state_90d_strength_change`
454	`beam_trends_competitive_state_90d_rank_change`
455	`beam_trends_competitive_state_90d_percentile_change`
456	`beam_trends_sentiment_current_sentiment`
457	`beam_trends_sentiment_positive_ratio`
458	`beam_trends_sentiment_negative_ratio`
459	`beam_trends_sentiment_review_count`
460	`beam_trends_velocity_reviews_per_day`
461	`beam_trends_velocity_reviews_per_month`
462	`beam_trends_velocity_percentile_city`
463	`beam_trends_velocity_percentile_state`
464	`beam_trends_velocity_trend`
465	`beam_velocity_reviews_per_day`
466	`beam_velocity_reviews_per_week`
467	`beam_velocity_reviews_per_month`
468	`beam_velocity_reviews_last_30d`
469	`beam_velocity_reviews_last_90d`
470	`beam_velocity_reviews_last_365d`
471	`beam_velocity_percentile_1km`
472	`beam_velocity_percentile_5km`
473	`beam_velocity_percentile_10km`
474	`beam_velocity_percentile_city`
475	`beam_velocity_percentile_state`
476	`beam_velocity_rank_1km`
477	`beam_velocity_rank_5km`
478	`beam_velocity_rank_10km`
479	`beam_velocity_rank_city`
480	`beam_velocity_rank_state`
481	`beam_velocity_trend`
482	`beam_velocity_change_30d`
483	`beam_velocity_change_90d`
484	`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 1,862 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.

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