Datasets:

beamstation
/

top-30-active-restaurant-review-whales-in-missouri-us-141131-141131

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 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	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 string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin null	social_username_linkedin null	social_profile_youtube string	social_username_youtube string	social_profile_github null	social_username_github null	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	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 null	reservation_link null	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_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 null	beam_trends_sentiment_negative_ratio null	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 null	beam_trends_sentiment_recommend_pct float64
X5EB7VU4	Blues City Deli	Food and Drink	Restaurants	Deli	Deli, Restaurant, Sandwich shop	2438 McNair Ave, St. Louis, MO 63104	2438 McNair Ave	St. Louis	Missouri	Benton Park	Benton Park	63,104	US	true	38.605051	-90.218173	America/Chicago	(314) 77-***	2	null	true	true	null	true	St. Louis	Missouri	US	http	http://bluescitydeli.com	bluescitydeli.com	bluescitydeli.com	com	7,944	2004-07-29	2026-07-29	DREAMHOST	purchase_dataset@bluescitydeli.com	realdomain	1	0	1	Festive hangout offering varied sandwiches, salads & po' boys amid blues-themed decor.	true	true	4.9	2,148	{"1": 7, "2": 17, "3": 25, "4": 158, "5": 2619}	In-store shopping, Onsite services, Takeout, Dine-in	null	null	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	null	null	Gender-neutral restroom, Restroom	null	null	null	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	3	2025-09-12	2026-02-03	229	85	24	229	229	85	85	https://www.instagram.com/bluescitydeli	bluescitydeli	null	null	https://twitter.com/bluescitydeli	bluescitydeli	null	null	null	null	null	null	null	null	null	null	null	null	5,522	3.12	null	7.05	3.77	3.12	162	null	null	null	null	null	null	null	null	https://bluescitydeli.com	null	null	2026-04-28T05:14:01.548627+00:00	2.87	1	0.1	4,696.89	198.1	89.7727	1.82	98	100	98	0.9397	0.881	0.8864	0.8574	0.8553	0.9783	0.9935	0.9867	94.3	92.8	100	0	0	100	0	0	97.22	1.39	1.39	95.09	4.29	0.61	stable	stable	-0.0054	1.5	0.0311	1.6	12	31	72	163	-13.9	-23.9	16.1	85.5	36.8	76	100	94.1	100	5	327	11	52	2,637	80	5,056	158,253	6,711	5,269	5	1	47	1	2	154	2	7	151	3	2	1,236	2,876	13,634	28,419	786,928	1,595,281	786,928	0.97	0.0295	0.5629	-0.0295	0.2893	0.9739	0	0.3449	0	0.5073	0.9915	0.0275	0.4917	-0.0275	0.3605	150	46	153	1	5	1	1	0.913	1	0.913	0.9783	62.5	4.01	558	79.6	0.5628	23	0.89	1,590	18.4	0.3799	2	3	2	0.9935	0.9869	0.9935	0.9869	0.9935	72.3	4.45	776	86.1	0.6721	13.2	0.45	1,372	11.9	0.2706	7	6	3	0.96	Market Leader	0.9667	0.9867	0.9867	0.9867	Market Leader	74.8	4.49	756	87	Market Leader	0.7015	10.7	0.41	1,392	11	0.2412	47	154	151	633	7	competitive	0.0772	14.64	10.9	26.1	52.2	10.9	3,215	1,008	competitive	0.0178	1.95	3.9	0	81.7	14.4	7,289	5,010	competitive	0.0186	0.48	2	0	75.3	22.7	0.0369	0.6215	-0.0369	0.2307	157	158	6	5	3	0.9682	0.9745	0.9873	0.9873	0.9873	77.6	4.55	884	88.9	0.7498	7.9	0.35	1,264	9.1	0.1929	competitive	0.0152	0.92	0.6	0	65.6	33.8	0.9758	1.85	4.04	0.1133	0.7588	-0.1133	0.0934	182	183	25	6	5	0.8681	0.9725	0.978	0.967	0.9725	82	4.63	1,059	91.2	0.7888	3.5	0.27	1,089	6.8	0.1539	competitive	0.011	0.001	0.94	0.24	0.9324	0.0328	0.2935	-0.0328	0.5587	849,634	59.7	3.83	389	76.2	0.4652	25.8	1.07	1,759	0.4775	0.9961	0.8522	0.9938	0.9287	0.9734	3,116	0.9523	21.8	123,637	5,244	23.1	58	4.5	14.4	849,635	985	56.5	4.25	349	77	0.477	29	0.65	1,799	0.4657	0.9959	0.8069	0.998	0.9096	0.9705	5	57.37	40.32	0.9665	985	5.21	1,921	1,760	0.4602	4,602.33	0.29	33,941	34	0.0312	311.89	59.62	212.77	3.16	64.94	3.45	66.23	2.32	63.29	1.22	54.64	-1	0	-14	0	1.7	null	null	null	null	null	0.15	-142,903	0.211	-92.56	243,032	-0.316	-0.03	74,473	-0.086	-92.44	166,473	-0.212	0.02	1,443	0.017	-92.45	233,427	-0.302	-0.01	19	-0.013	-92.26	-74,520	0.077	-0.01	-30	0.003	-92.25	-74,716	0.091	0.9427	null	null	2,077	0.13	4	0.889	0.92	decelerating	0.13	0.93	4	4	20	152	0.855	0.859	0.859	0.889	0.898	119,501	126,570	126,222	2	8	decelerating	0.03	null	97.69
YLJJQGZU	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	1611 S Limit Ave, Sedalia, MO 65301	1611 S Limit Ave	Sedalia	Missouri	null	null	65,301	US	true	38.697314	-93.250103	America/Chicago	(660) 82-***	2	OPERATIONAL	true	true	null	true	Sedalia	Missouri	US	https	https://mcdonalds.com/us/en-us/location/mo/sedalia/1611-s-limit-ave/2113.html	mcdonalds.com/us/en-us/location/mo/sedalia/1611-s-limit-ave/2113.html	mcdonalds.com	com	11,614	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dat(...TRUNCATED)	realdomain	35	27	8	Classic, long-running fast-food chain known for its burgers & fries.	true	true	3.55	1,233	{"1": 212, "2": 141, "3": 322, "4": 424, "5": 645}	Curbside pickup, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert, Seating	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Good for kids birthday, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-09-02	2026-03-04	239	56	101	239	239	56	56	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	null	null	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,549,245	0.37	null	0.17	0.38	0.37	523	5,423,588	354	38,600,124	4.88	null	2.01	1.93	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-25T14:29:58.951363+00:00	21,045.55	0	0	17,004.88	489.2	150.8079	0.17	71	100	58.9	0.1851	-1	-0.3768	-0.2811	0.1584	0.2258	0.2381	0	31.2	57.9	0	100	0	33.33	66.67	0	37.5	62.5	0	59.57	38.3	2.13	declining	declining	-0.6232	-26.7	-0.5352	-46.1	2	6	40	94	-70	-74.5	0	68.1	42.8	100	100	46.9	32	1	127	1	300	21,017	388	21,646	1,237,723	27,512	22,818	1	16	32	1	23	64	1	2	2	1	192	96	172	13,634	28,419	786,928	1,595,281	786,928	0.3	0	0.9122	0	-1.1643	0.5742	0	0.3306	0	-0.5827	0.627	0.0009	0.2484	-0.0009	-0.5005	1	31	63	16	25	1	0.5161	0.2258	1	0.2258	0.2258	61.8	3.81	456	76.4	0.5097	6.3	-0.26	777	-17.5	-0.3228	23	50	1	0.6508	0.2222	1	0.1905	0.2381	59.3	3.73	347	74.2	0.424	8.8	-0.18	886	-15.3	-0.2371	2	2	1	0	Average	0	1	0	0	Average	75.2	4.65	856	92.5	Below Average	0.8161	-7.1	-1.1	377	-33.6	-0.6292	32	64	2	623	55	competitive	0.0802	9.87	9.7	22.6	67.7	0	2,190	1,038	competitive	0.0534	0.8	14.3	23.8	60.3	1.6	5,437	5,437	concentrated	0.5902	0	0	0	100	0	0.0006	0.2754	-0.0006	-0.5275	94	95	38	74	1	0.6064	0.2234	1	0.2021	0.234	60.2	3.77	387	75.2	0.4573	7.9	-0.22	846	-16.3	-0.2704	competitive	0.0327	2.41	12.8	23.4	62.8	1.1	0.6096	0.22	26.05	0.1133	0.7569	-0.1133	-1.009	182	183	183	183	33	0	0	0.8242	0	0	82	4.63	1,064	91.3	0.7904	-13.9	-1.08	169	-32.4	-0.6035	competitive	0.0063	0.001	0.94	0.24	0.2473	0.0328	0.2935	-0.0328	-0.5456	849,634	59.7	3.83	389	76.2	0.4652	8.4	-0.28	844	-0.2783	0.6204	0.1149	0.9733	0.1885	0.221	319,600	0.5746	-17.3	750,009	22,608	23.1	58	4.5	14.4	849,635	29	61.9	3.92	568	68.6	0.3712	6.2	-0.37	665	-0.1843	0.6071	0.2143	1	0.2857	0.2857	12	65.82	3.39	0.3929	29	43.27	231	557	1.6762	16,762.26	0.29	33,941	34	0.0314	313.56	64.3	312.5	28.57	156.25	3,483.77	5,000	10.73	105.26	0.4	54.64	7.5	0	6	0.1	33.3	null	null	null	null	null	0.13	-209,542	0.301	-66.6	229,335	-0.294	-0.05	20,290	0.008	-66.98	558,483	-0.709	0.22	-250,614	0.349	-66.33	143,707	-0.181	0.13	-24	0.29	-66.62	-133,887	-0.219	0.12	-4,023	0.324	-66.6	-129,326	-0.18	0.1869	null	null	1,233	0.07	2	0.429	0.671	stable	0.07	0.47	2	2	7	99	0.701	0.706	0.707	0.385	0.633	221,055	234,514	233,522	5	397	stable	0.07	null	69.21
PNJCKZSC	Nawabi Hyderabad House ST.Louis	Food and Drink	Restaurants	Indian restaurant	Indian restaurant, Restaurant	12664 Dorsett Rd, Maryland Heights, MO 63043	12664 Dorsett Rd	Maryland Heights	Missouri	null	null	63,043	US	true	38.713467	-90.456908	America/Chicago	(314) 22-***	2	null	true	true	null	true	Maryland Heights	Missouri	US	https	https://hhstlouis.com	hhstlouis.com	hhstlouis.com	com	680	2024-06-18	2026-06-18	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.23	1,320	{"1": 180, "2": 51, "3": 59, "4": 126, "5": 1240}	Delivery, Onsite services, Takeout, Dine-in	Fast service, 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, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom	Casual	Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	2	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/hyderabadhousestlouis	hyderabadhousestlouis	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://toasttab.com/local/order/hh-st-louis/r-92314d87-3734-4659-bd16-1ca7cf491985	null	null	2026-04-25T13:24:22.309367+00:00	0	1.25	1.8	15,068.24	1,901	199.1435	0.29	84.6	100	79.7	0.5607	0.3351	0.4722	0.4938	0.4945	0.7083	0.4957	0.3869	73.6	74.7	70	30	0	76.16	23.26	0.58	76.03	22.87	1.1	75.89	22.93	1.18	declining	stable	-0.1371	-1.1	-0.0223	-1.5	40	172	363	676	-5.2	1.8	-30.2	71.6	48.6	16	80	78.2	32	3	72	3	215	14,407	286	17,388	846,652	22,201	18,093	3	6	25	2	40	118	2	100	138	8	125	93	168	13,634	28,419	786,928	1,595,281	786,928	0.5095	0.0495	0.5546	-0.0495	-0.0048	0.8292	0.0252	0.1957	-0.0252	0.3541	0.718	0.0069	0.385	-0.0069	0.1648	137	24	117	6	7	2	0.7917	0.75	0.9583	0.75	0.7083	60.6	3.54	543	69	0.3859	11	0.69	777	10.7	0.1855	40	58	2	0.6667	0.5128	0.9915	0.5043	0.4957	67.8	4.16	617	78	0.5367	3.8	0.07	703	1.7	0.0347	100	86	8	0.2774	Market Leader	0.3796	0.9489	0.3504	0.3869	Strong	73.7	4.31	835	82.4	Average	0.6115	-2.1	-0.08	485	-2.7	-0.0401	25	118	138	376	31	competitive	0.092	7.64	12.5	25	58.3	4.2	3,793	1,021	competitive	0.018	1.49	1.7	7.7	85.5	5.1	7,321	5,030	competitive	0.0114	0.44	1.5	0.7	85.4	12.4	0.033	0.1857	-0.033	0.3641	92	93	21	35	3	0.7826	0.6304	0.9783	0.6304	0.5978	60.4	3.83	472	72.7	0.4448	11.2	0.4	848	7	0.1266	competitive	0.0295	1.52	9.8	26.1	60.9	3.3	0.7957	0.3	19.65	0.1133	0.7569	-0.1133	-0.2071	182	183	180	181	24	0.0165	0.011	0.8736	0.0055	0.0275	82	4.63	1,064	91.3	0.7904	-10.4	-0.4	256	-11.6	-0.219	competitive	0.0068	0.001	0.94	0.24	0.272	0.0328	0.2935	-0.0328	0.2563	849,634	59.7	3.83	389	76.2	0.4652	11.9	0.4	931	0.1062	0.7383	0.4019	0.9788	0.4716	0.5503	219,596	0.7096	3.5	502,349	17,965	23.1	58	4.5	14.4	849,635	68	60.5	4.08	488	74.7	0.4774	11.1	0.15	832	0.094	0.7761	0.4776	0.9701	0.5672	0.5373	15	70.7	9.14	0.5522	68	32.53	307	467	1.5346	15,346.49	0.29	33,941	34	0.0314	313.56	84.64	400	3.23	84.75	1.3	72.46	8.71	107.53	0.46	54.64	2.1	0.01	27	0.3	-4.6	null	null	null	null	null	0.06	-46,565	0.086	-71.57	251,028	-0.318	0.07	-21,634	0.051	-71.54	247,071	-0.307	0.08	-37,546	0.071	-71.34	177,312	-0.22	0.06	-15	0.165	-71.22	-194,169	0.018	0.06	-1,894	0.16	-71.27	-191,451	0.005	0.5714	null	null	1,320	0.8	24	1	0.967	decelerating	0.8	5.6	24	24	177	662	0.989	0.99	0.99	1	0.956	10,988	11,669	11,702	1	5	decelerating	-0.83	null	79.84
W2VPCSLV	Freddy's Frozen Custard & Steakburgers	Food and Drink	Restaurants	Hamburger restaurant	Hamburger restaurant, American restaurant, Delivery service, Fast food restaurant, Restaurant	3171 W Broadway Blvd, Sedalia, MO 65301	3171 W Broadway Blvd	Sedalia	Missouri	null	null	65,301	US	true	38.709009	-93.267784	America/Chicago	(660) 82-***	2	null	true	true	null	true	Sedalia	Missouri	US	https	https://freddys.com/location/sedalia-mo	freddys.com/location/sedalia-mo	freddys.com	com	10,135	1998-07-30	2028-07-29	NAMECHEAP INC	"purchase_dataset@freddysusa.com, purchase_dataset@freddysusa.com, purchase_dataset@gmail.com, purch(...TRUNCATED)	null	4	4	0	Vintage-style chain for steakburgers, hot dogs & other fast-food staples, plus frozen custard.	true	true	4.31	1,196	{"1": 76, "2": 46, "3": 139, "4": 417, "5": 1021}	Outdoor seating, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Fast service, Great dessert	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Late-night food, Quick bite	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-06-10	2026-03-30	323	30	88	323	323	30	30	https://www.instagram.com/freddysusa	freddysusa	https://www.facebook.com/freddysusa	freddysusa	https://twitter.com/freddysusa	freddysusa	https://www.tiktok.com/@freddysusa	freddysusa	null	null	https://www.youtube.com/fuhnaff	fuhnaff	null	null	null	null	null	null	116,298	0.15	null	null	0.15	0.15	3,070	66,484	264	1,275,884	10.18	4.64	10.47	10.43	10.18	https://freddys.com/menu	null	null	2026-04-25T11:48:47.434694+00:00	422.9	0	0	16,648.67	486.8	150.8079	0.17	86.2	100	83.8	0.6532	0.4817	0.5506	0.5377	0.5325	0.7059	0.6184	0.5	77.5	76.6	100	0	0	80	20	0	77.42	19.35	3.23	77.17	20.65	2.17	declining	stable	-0.0689	0.9	0.0181	1.2	1	10	31	92	-35.5	-56.5	-70	77.6	32.8	100	100	67.1	32	3	82	3	371	13,102	474	25,451	764,216	32,042	27,033	3	2	18	1	5	77	3	1	3	1	106	96	172	13,634	28,419	786,928	1,595,281	786,928	0.85	0	0.4561	0	-0.2852	0.8706	0	0.2634	0	-0.0925	0.825	0.0007	0.2763	-0.0007	-0.1054	2	17	76	2	7	1	0.9412	0.6471	1	0.7647	0.7059	63	3.85	492	75.2	0.4886	14.6	0.46	704	8.6	0.164	5	38	3	0.9474	0.5132	0.9737	0.5526	0.6184	59.4	3.73	362	74.7	0.4406	18.2	0.58	834	9.1	0.212	1	2	1	1	Market Leader	0.5	1	0.5	0.5	Market Leader	66.4	4.09	501	76.8	Market Leader	0.5371	11.2	0.22	695	7	0.1155	18	77	3	456	225	competitive	0.1252	5.41	5.9	17.6	70.6	5.9	2,541	1,055	competitive	0.0417	0.97	14.5	23.7	61.8	0	5,216	5,213	concentrated	0.5441	0.01	0	50	50	0	0.0006	0.2709	-0.0006	-0.1	94	95	6	45	3	0.9468	0.5319	0.9787	0.5851	0.6277	60.1	3.76	388	74.9	0.4523	17.5	0.55	808	8.9	0.2003	competitive	0.0318	2.41	12.8	23.4	62.8	1.1	0.8319	0.22	26	0.1126	0.7555	-0.1126	-0.5846	183	184	160	180	40	0.1311	0.0219	0.7869	0.0437	0.0765	82	4.63	1,066	91.3	0.7902	-4.4	-0.32	130	-7.5	-0.1376	competitive	0.0061	0.001	0.94	0.24	0.2951	0.0328	0.2935	-0.0328	-0.1226	849,634	59.7	3.83	389	76.2	0.4652	17.9	0.48	807	0.1874	0.9105	0.4613	0.9683	0.5834	0.6574	74,062	0.7931	7.6	451,092	26,819	23.1	58	4.5	14.4	849,635	29	61.9	3.92	568	68.6	0.3712	15.7	0.39	628	0.2814	0.9286	0.6786	0.9286	0.8571	0.8214	3	65.82	21.24	0.7857	29	43.27	231	557	1.6779	16,779.29	0.3	33,755	34	0.0316	315.94	156.74	555.56	17.36	129.87	2,960.79	3,333.33	10.09	105.26	0.37	54.35	4.3	-0.01	8	-0.2	23.3	null	null	null	null	null	-0.01	-86,885	0.135	-79.84	260,476	-0.342	0	-8,821	0.046	-80.27	643,894	-0.826	0.09	-76,363	0.131	-80.04	513,563	-0.664	0.06	-12	0.131	-79.59	-38,818	-0.007	0.07	-2,545	0.195	-79.59	-37,939	-0.019	0.6526	null	null	1,196	0.07	2	0.5	0.554	decelerating	0.07	0.47	2	2	8	92	0.701	0.706	0.707	0.5	0.508	221,055	234,514	233,522	1	75	decelerating	0.07	null	87.06
DNZ7EXAP	Taco John's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Burrito restaurant, Lunch restaurant, Takeout Restauran(...TRUNCATED)	4242 S Noland Rd, Independence, MO 64055	4242 S Noland Rd	Independence	Missouri	null	South Crysler	64,055	US	true	39.042686	-94.415632	America/Chicago	(816) 38-***	2	OPERATIONAL	true	true	null	true	Independence	Missouri	US	https	https://locations.tacojohns.com/mo/independence/4242-s-noland-rd	locations.tacojohns.com/mo/independence/4242-s-noland-rd	locations.tacojohns.com	com	10,869	1996-07-26	2026-07-25	Network Solutions, LLC	purchase_dataset@brmtj.com	null	1	1	0	Fast-food chain featuring Mexican-inspired tacos, burritos, nachos & breakfast fare.	true	true	3.9	1,219	{"1": 154, "2": 98, "3": 174, "4": 332, "5": 707}	Delivery, Drive-through, Onsite services, Takeout, Dine-in	Fast service	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Late-night food, Quick bite, Vegetarian options	Breakfast, Lunch, Dinner, Catering, Counter service, Dessert	Restroom, Wi-Fi	Casual	Family-friendly, Groups	null	Checks, Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-11-11	2026-02-15	169	73	24	169	169	73	73	https://www.instagram.com/tacojohns	tacojohns	https://www.facebook.com/tacojohns	tacojohns	https://twitter.com/tacojohns	tacojohns	null	null	null	null	null	null	null	null	null	null	null	null	19,418	0.35	null	0.31	0.35	0.35	2,261	null	null	null	null	null	null	null	null	https://order.tacojohns.com/menu/independence-s-noland-rd-3	null	null	2026-04-25T10:23:22.996833+00:00	15.61	0.82	0	8,275.85	201.6	166.6667	0.81	78	100	70.8	0.435	0.4697	0.2236	0.1918	0.2242	0.7632	0.4911	0.3548	61.2	61.2	75	25	0	58.33	33.33	8.33	58.82	35.29	5.88	61.46	33.33	5.21	improving	stable	0.2461	0	-0.0006	0	4	12	51	96	-52.9	-50	0	67.7	27.4	48	100	60.9	30	21	413	21	322	18,569	413	22,827	1,099,797	28,949	24,132	21	10	39	2	52	113	12	76	125	9	175	315	700	13,634	28,419	786,928	1,595,281	786,928	0.5428	0.0622	0.3541	-0.0622	-0.2977	0.8264	0.0271	0.1549	-0.0271	-0.0985	0.617	0.0737	0.3375	-0.0737	-0.2811	124	38	112	10	10	2	0.7632	0.7632	0.9737	0.7368	0.7632	53.8	3.49	574	60.8	0.2484	13.9	0.41	645	10	0.185	52	65	12	0.5446	0.4286	0.9018	0.4196	0.4911	65.1	3.98	748	72.6	0.4365	2.6	-0.08	471	-1.8	-0.0031	76	82	9	0.3952	Market Leader	0.3468	0.9355	0.3226	0.3548	Average	68.8	4.11	760	76.4	Average	0.5075	-1.1	-0.21	459	-5.6	-0.0741	39	113	125	487	53	competitive	0.0529	12.1	21.1	31.6	44.7	2.6	3,460	1,027	competitive	0.0143	1.43	5.4	15.2	73.2	6.3	6,839	5,019	competitive	0.0128	0.39	2.4	5.6	85.5	6.5	0.0886	0.3995	-0.0886	-0.3431	124	125	93	76	17	0.2581	0.3952	0.871	0.379	0.3952	71.8	4.06	946	75	0.494	-4.1	-0.16	273	-4.2	-0.0606	competitive	0.0103	0.61	0.8	1.6	86.3	11.3	0.4831	0.96	7.24	0.1133	0.7584	-0.1133	-0.702	182	183	183	183	36	0	0	0.8077	0	0.0165	82	4.63	1,065	91.3	0.7904	-14.3	-0.73	154	-20.5	-0.357	competitive	0.0063	0.001	0.94	0.24	0.2423	0.0328	0.2935	-0.0328	-0.2371	849,634	59.7	3.83	389	76.2	0.4652	8	0.07	830	-0.0318	0.6068	0.2212	0.9717	0.3094	0.4025	331,206	0.6006	-5.4	658,376	23,929	23.1	58	4.5	14.4	849,635	94	59.1	3.63	663	61.9	0.2468	8.6	0.27	556	0.1866	0.7204	0.7419	0.914	0.7419	0.7742	27	59.45	20.14	0.8495	94	10.08	992	606	0.9531	9,531.02	0.29	33,941	34	0.0314	313.71	28	256.41	2.06	88.5	1.63	80	1.06	80	0.39	54.64	-5.4	0	-3	-0.1	-11.1	null	null	null	null	null	0	51,096	-0.034	-69.67	574,905	-0.743	0.05	25,233	-0.007	-69.6	430,954	-0.55	0.06	-8,028	0.038	-69.54	426,479	-0.547	-0.05	31	-0.101	-69.41	-99,537	-0.212	-0.04	1,493	-0.083	-69.47	-94,668	-0.24	0.4334	null	null	1,219	0.03	1	0.37	0.371	decelerating	0.03	0.23	1	1	12	98	0.494	0.501	0.502	0.357	0.361	329,426	350,498	348,784	28	607	decelerating	-0.14	null	79.59
KSHRK2F8	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	11521 Olive Blvd, St. Louis, MO 63141	11521 Olive Blvd	Creve Coeur	Missouri	null	null	63,141	US	true	38.671719	-90.437116	America/Chicago	(314) 43-***	2	OPERATIONAL	true	true	null	true	Creve Coeur	Missouri	US	https	https://mcdonalds.com/us/en-us/location/mo/creve-coeur/11521-olive-blvd/31264.html	mcdonalds.com/us/en-us/location/mo/creve-coeur/11521-olive-blvd/31264.html	mcdonalds.com	com	11,614	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dat(...TRUNCATED)	realdomain	33	22	11	Classic, long-running fast-food chain known for its burgers & fries.	true	true	3.38	1,184	{"1": 322, "2": 111, "3": 279, "4": 351, "5": 643}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Has changing table(s), Kids' menu	true	true	purchase_dataset@	true	true	6	2025-09-02	2026-03-04	239	56	101	239	239	56	56	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	null	null	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,549,245	0.37	null	0.17	0.38	0.37	523	5,423,588	354	38,600,124	4.88	null	2.01	1.93	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-25T07:55:04.051289+00:00	27,162.24	0.06	0	26,373.93	670.2	132.7684	0.14	67.6	100	54.9	0.1188	-0.1335	0.1966	0.015	-0.128	0.1351	0.0902	0	59.8	43.6	50	50	0	60	40	0	50	44.23	5.77	43.31	51.97	4.72	declining	improving	-0.3301	16.2	0.3246	37.2	4	10	52	127	-61.5	-68.5	20	65.9	27.4	100	100	59.2	30	2	150	2	415	21,769	526	27,390	1,280,072	34,286	29,175	2	23	38	1	82	123	6	133	144	15	201	96	174	13,634	28,419	786,928	1,595,281	786,928	0.3014	0.0247	0.5821	-0.0247	-0.4392	0.4784	0.0338	0.3862	-0.0338	-0.2433	0.4443	0.0061	0.3815	-0.0061	-0.2386	143	37	122	23	36	1	0.4054	0.0541	1	0.0811	0.1351	64.2	4.07	579	77.9	0.526	1.7	-0.69	605	-23	-0.4071	82	114	6	0.3361	0.0738	0.959	0.0738	0.0902	67.3	4.14	628	77.6	0.5142	-1.4	-0.76	556	-22.7	-0.3953	133	144	15	0.0769	Average	0	0.9021	0	0	Average	74.5	4.37	753	84	Below Average	0.6631	-8.6	-0.99	431	-29.1	-0.5442	38	123	144	501	153	competitive	0.0524	11.78	5.4	16.2	75.7	2.7	3,621	1,175	competitive	0.0152	1.55	3.3	8.2	83.6	4.9	8,029	5,029	competitive	0.0109	0.46	2.1	0	79	18.9	0.012	0.341	-0.012	-0.1981	96	97	55	87	2	0.4375	0.1042	0.9896	0.125	0.1563	61.9	3.89	497	76	0.4723	4	-0.51	687	-21.1	-0.3534	competitive	0.0242	3.61	11.5	13.5	72.9	2.1	0.5031	0.19	31.55	0.1133	0.7552	-0.1133	-0.6123	182	183	183	183	41	0	0	0.7802	0	0	82	4.63	1,065	91.3	0.7904	-16.1	-1.25	119	-36.4	-0.6715	competitive	0.0061	0.001	0.94	0.24	0.2341	0.0328	0.2935	-0.0328	-0.1506	849,634	59.7	3.83	389	76.2	0.4652	6.2	-0.45	795	-0.3463	0.5473	0.0811	0.9658	0.1634	0.1915	381,875	0.533	-21.3	779,237	28,874	23.1	58	4.5	14.4	849,635	21	63.1	4.1	607	76.9	0.4846	2.8	-0.72	577	-0.3657	0.4	0.05	1	0.05	0.15	13	73.06	-8.96	0.15	21	50.97	196	708	2.5322	25,322.29	0.29	33,941	34	0.0314	313.67	27.41	263.16	2.31	81.3	1.18	69.44	5.87	103.09	0.37	54.64	-4.9	-0.01	-14	-0.3	-5.4	null	null	null	null	null	-0.03	34,828	-0.035	-63.39	87,237	-0.107	0.03	5,264	0.016	-63.75	287,067	-0.36	0.05	-31,602	0.061	-63.62	154,562	-0.193	-0.02	5	-0.042	-63.78	-161,425	-0.288	-0.04	1,388	-0.069	-63.75	-155,876	-0.222	0.1189	null	null	1,184	0.03	1	0.143	0.371	decelerating	0.03	0.23	1	1	15	128	0.494	0.501	0.502	0.167	0.361	329,426	350,498	348,784	6	607	decelerating	-0.04	null	64.1
FCBXZ6L6	Mr. Sushi and Japanese Steakhouse	Food and Drink	Restaurants	Sushi restaurant	Sushi restaurant, Japanese steakhouse	995 NE Rice Rd, Lee's Summit, MO 64086	995 NE Rice Rd	Lee's Summit	Missouri	null	null	64,086	US	true	38.930311	-94.357918	America/Chicago	(816) 55-***	2	null	true	true	null	true	Lee's Summit	Missouri	US	https	https://facebook.com/mrsushileessummit	facebook.com/mrsushileessummit	facebook.com	com	10,623	1997-03-29	2034-03-30	RegistrarSafe, LLC	null	null	0	0	0	null	true	false	4.06	1,157	{"1": 133, "2": 68, "3": 132, "4": 293, "5": 866}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Comfort food, Happy hour food, Hard liquor, Healthy options, Small plates(...TRUNCATED)	Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Trendy	Family-friendly, Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	2	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/mrsushileessummit/	mrsushileessummit	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://mrsushi2015.wixsite.com/mrsushiandsteakhouse	null	null	2026-04-24T23:33:17.156425+00:00	0	0.12	3.7	9,319.14	845.1	209.4595	0.78	81.2	100	75.5	0.5351	0.3651	0.1738	0.3753	0.4846	0.6667	0.3451	0.6076	58.7	74.2	75	25	0	57.89	36.84	5.26	71.11	26.67	2.22	76.53	21.43	2.04	improving	declining	0.1913	-15.5	-0.3108	-20.9	4	19	45	98	-15.6	-22.4	-36.8	63.2	27.4	16	60	62.5	30	13	366	16	575	16,838	708	33,265	991,452	41,060	35,596	13	13	25	1	106	114	12	35	80	1	152	264	602	13,634	28,419	786,928	1,595,281	786,928	0.6721	-0.0294	0.1793	0.0294	-0.0565	0.6625	0	0.2915	0	-0.1687	0.3788	0.0135	0.4584	-0.0135	-0.3356	79	24	113	13	12	1	0.5	0.5417	1	0.5417	0.6667	53.4	3.68	504	68.2	0.3431	9.8	0.38	653	7.3	0.1931	106	84	12	0.0708	0.2655	0.9027	0.2832	0.3451	70.7	4.25	751	80.8	0.5797	-7.5	-0.19	406	-5.3	-0.0435	35	42	1	0.5696	Strong	0.481	1	0.481	0.6076	Below Average	52.7	3.44	303	71.5	Strong	0.3822	10.5	0.62	854	4	0.154	25	114	80	578	137	competitive	0.0874	7.64	20.8	29.2	50	0	3,173	1,012	competitive	0.0134	1.44	4.4	0.9	85	9.7	8,086	5,524	competitive	0.0461	0.25	25.3	22.8	48.1	3.8	0.0211	0.4798	-0.0211	-0.357	123	124	114	90	9	0.0813	0.2764	0.935	0.2846	0.3333	70.9	4.22	771	80	0.576	-7.7	-0.16	386	-4.5	-0.0398	competitive	0.0121	0.72	4.9	1.6	83.7	9.8	0.3959	0.79	8.63	0.1133	0.7565	-0.1133	-0.6337	182	183	183	183	54	0	0	0.7088	0	0.022	82	4.63	1,064	91.3	0.7903	-18.8	-0.57	93	-15.8	-0.2541	competitive	0.0059	0.001	0.94	0.24	0.2126	0.0328	0.2935	-0.0328	-0.1707	849,634	59.7	3.83	389	76.2	0.4652	3.5	0.23	768	0.071	0.4629	0.2989	0.9582	0.3866	0.5099	453,786	0.5623	-0.7	591,388	35,273	23.1	58	4.5	14.4	849,635	185	56.9	4.12	474	74.3	0.4425	6.3	-0.06	683	0.0937	0.3967	0.2717	0.9511	0.3859	0.5054	112	55.65	21.82	0.5	185	12.17	822	592	0.9382	9,381.55	0.29	33,941	34	0.0314	313.63	76.33	400	1.81	87.72	21.23	125	1.45	80.65	0.35	54.64	-4.4	0.01	-7	0.2	-24.8	null	null	null	null	null	-0.04	145,162	-0.158	-57.88	316,658	-0.387	0.02	47,904	-0.046	-57.69	-47,116	0.084	0.01	33,758	-0.006	-58.24	387,373	-0.474	-0.03	14	-0.052	-57.72	-395,660	-0.066	-0.03	1,160	-0.048	-57.81	-390,657	0.003	0.5362	null	null	1,157	0.03	1	0	0.293	decelerating	0.03	0.23	1	1	29	105	0.494	0.501	0.502	0	0.301	329,426	350,498	348,784	1	45	decelerating	-0.27	null	77.47
G2PR988W	Chick-fil-A	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Caterer, Chicken restaurant, Delivery service, Family r(...TRUNCATED)	304 Clarkson Rd, Ellisville, MO 63011	304 Clarkson Rd	Ellisville	Missouri	null	null	63,011	US	true	38.603203	-90.586191	America/Chicago	(636) 52-***	2	null	true	true	null	true	Ellisville	Missouri	US	https	https://chick-fil-a.com/locations/mo/ellisville	chick-fil-a.com/locations/mo/ellisville	chick-fil-a.com	com	11,144	1995-10-25	2026-10-24	CSC Corporate Domains, Inc.	"purchase_dataset@chick-fil-a.com, purchase_dataset@chick-fil-a.com, purchase_dataset@gmail.com, pur(...TRUNCATED)	realdomain	17	14	3	Fast-food chain serving chicken sandwiches & nuggets along with salads & sides.	true	true	4.36	1,186	{"1": 95, "2": 38, "3": 89, "4": 227, "5": 1140}	Outdoor seating, Delivery, Drive-through, Onsite services, Takeout, Dine-in	null	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom	Coffee, Healthy options, Quick bite	Breakfast, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom, Wi-Fi	Casual	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu, Playground	true	true	purchase_dataset@	true	true	8	2025-09-25	2026-03-26	216	34	36	216	216	34	34	https://www.instagram.com/chickfila	chickfila	https://www.facebook.com/chickfila	chickfila	https://twitter.com/chickfila	chickfila	null	null	null	null	https://www.youtube.com/user/chickfila	chickfila	null	null	null	null	https://www.pinterest.com/chickfila	chickfila	2,128,405	0.4	null	0.35	0.44	0.4	1,769	null	null	null	null	null	null	null	null	https://chick-fil-a.com/locations/mo/ellisville/menu	null	null	2026-04-24T22:22:14.943368+00:00	10,709.74	0.15	0	18,998.07	473.1	58.8901	0.12	87.2	100	83.5	0.6422	0.9854	0.4893	0.4959	0.5862	0.7059	0.5472	0.4797	74.5	79.3	100	0	0	73.68	21.05	5.26	75.51	22.45	2.04	81.05	15.79	3.16	improving	declining	0.4961	-4.8	-0.0969	-6.1	2	19	49	95	-22.4	-20	-68.4	77.5	36.8	80	100	77.1	30	1	53	1	408	12,205	519	26,996	706,185	33,831	28,738	1	2	18	1	11	107	1	27	124	12	93	52	118	13,634	28,419	786,928	1,595,281	786,928	0.7472	0.0382	0.4582	-0.0382	0.0094	0.8529	0.03	0.3067	-0.03	0.1609	0.8151	0.0415	0.3708	-0.0415	0.0968	123	17	106	2	8	1	0.9412	0.5882	1	0.5882	0.7059	59.4	4.07	310	76.8	0.5034	18.1	0.29	876	6.7	0.1389	11	53	1	0.9057	0.5094	1	0.5094	0.5472	67.4	4.25	426	80.6	0.5673	10.1	0.11	760	2.9	0.075	27	59	12	0.7886	Market Leader	0.5285	0.9106	0.4715	0.4797	Market Leader	71.8	4.28	741	81.6	Strong	0.6044	5.7	0.08	445	1.9	0.0379	18	107	124	385	58	competitive	0.1836	5.41	17.6	0	76.5	5.9	3,167	1,084	competitive	0.0256	1.35	1.9	17	76.4	4.7	7,059	5,076	competitive	0.0128	0.39	1.6	0.8	86.2	11.4	0.0607	0.3785	-0.0607	0.0891	52	53	4	23	1	0.9423	0.5769	1	0.5769	0.6346	60.9	3.81	366	75.5	0.4741	16.6	0.55	820	8	0.1682	competitive	0.0587	4.6	13.5	11.5	71.2	3.8	0.85	0.19	31.72	0.1133	0.7569	-0.1133	-0.2893	182	183	160	176	41	0.1264	0.0385	0.7802	0.033	0.0714	82	4.63	1,064	91.3	0.7904	-4.5	-0.27	122	-7.8	-0.1481	competitive	0.0061	0.001	0.94	0.24	0.2962	0.0328	0.2935	-0.0328	0.1741	849,634	59.7	3.83	389	76.2	0.4652	17.8	0.53	797	0.1771	0.9083	0.5027	0.9662	0.5755	0.6429	76,012	0.804	7.3	415,316	28,518	23.1	58	4.5	14.4	849,635	11	65.2	3.97	435	72.8	0.342	12.3	0.39	751	0.3003	0.9	0.7	1	0.7	0.8	2	62.19	23.62	0.8	11	52.08	192	883	1.906	19,059.59	0.29	33,941	34	0.0314	313.56	337.16	555.56	6.56	93.46	1.65	80.65	34.41	188.68	0.37	54.64	-2.9	0	0	0	-1.7	null	null	null	null	null	0	72,803	-0.073	-83.37	450,350	-0.59	0.04	-40,016	0.076	-83.3	418,742	-0.54	0.07	-15,183	0.044	-83.14	412,298	-0.536	-0.01	0	-0.017	-82.88	-18,288	-0.067	-0.01	100	-0.001	-82.89	-17,114	-0.062	0.6423	null	null	1,186	0.13	4	1	0.865	decelerating	0.13	0.93	4	4	25	98	0.855	0.859	0.859	1	0.834	119,501	126,570	126,222	1	191	decelerating	-0.04	null	85.81
YQJTWBEB	Chris' Pancake & Dining	Food and Drink	Restaurants	Breakfast restaurant	Breakfast restaurant, Delivery Restaurant	5980 Southwest Ave, St. Louis, MO 63139	5980 Southwest Ave	St. Louis	Missouri	Clifton Heights	Clifton Heights	63,139	US	true	38.609425	-90.289426	America/Chicago	(314) 64-***	2	null	true	true	null	true	St. Louis	Missouri	US	https	https://chrispancakeanddining.com	chrispancakeanddining.com	chrispancakeanddining.com	com	4,692	2013-06-24	2027-06-24	Network Solutions, LLC	purchase_dataset@chrisatthedocket.net	null	1	1	0	Bustling, long-running restaurant offering breakfast all day plus fried chicken, steaks & burgers.	true	true	4.45	2,257	{"1": 115, "2": 79, "3": 243, "4": 754, "5": 2562}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Serves local specialty	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Quick bite, Vegetaria(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Restroom	Casual, Cozy	Groups, Locals, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2017-07-11	2017-10-16	3,214	3,117	24	3,214	3,214	3,117	3,117	https://www.instagram.com/chrispancakeanddining	chrispancakeanddining	https://www.facebook.com/chrispancakestl	chrispancakestl	https://twitter.com/chrispancake	chrispancake	null	null	null	null	null	null	null	null	null	null	null	null	512	8.01	null	null	null	null	20	null	null	null	null	null	null	null	null	https://chrispancakeanddining.com/watson/menu	null	null	2026-04-24T19:45:33.507856+00:00	0.27	0.5	0.4	5,011.19	133.3	90.9091	1.82	89	100	86.6	0.7242	0.4242	0.3663	0.4115	0.5467	0.6829	0.274	0.3268	68.3	77.3	72.73	18.18	9.09	64.29	25	10.71	69.81	24.53	5.66	76.86	19.01	4.13	improving	declining	0.0579	-9	-0.1804	-11.6	11	28	53	121	5.7	-7.4	17.9	78.8	32.8	84	100	74	100	4	1,261	8	43	10,471	66	4,389	598,709	5,884	4,589	4	4	42	1	48	147	2	52	154	2	66	1,236	2,876	13,634	28,419	786,928	1,595,281	786,928	0.6902	0.0325	0.6031	-0.0325	-0.2119	0.8683	0	0.2177	0	0.1735	0.6617	0.039	0.5856	-0.039	-0.1944	153	41	146	4	15	1	0.9268	0.6585	1	0.6829	0.6829	58.1	3.99	382	78.9	0.4952	20.7	0.46	1,875	7.7	0.179	48	102	2	0.6781	0.3082	0.9932	0.3356	0.274	75.7	4.52	810	87.7	0.7197	3.1	-0.07	1,447	-1.1	-0.0455	52	90	2	0.6667	Market Leader	0.4183	0.9935	0.4314	0.3268	Strong	76.8	4.48	846	87	Strong	0.7196	2	-0.03	1,411	-0.4	-0.0454	42	147	154	509	66	competitive	0.126	13.05	14.6	26.8	51.2	7.3	3,164	1,149	competitive	0.0187	1.86	2.1	0	72.6	25.3	6,829	5,002	competitive	0.0171	0.49	0.7	0	75.8	23.5	0.0365	0.6195	-0.0365	-0.2283	159	160	67	117	2	0.5849	0.2704	0.9937	0.3019	0.2201	77.3	4.56	882	89	0.7491	1.5	-0.11	1,375	-2.4	-0.0749	competitive	0.0158	0.93	1.3	0	64.8	34	0.6132	1.83	4.08	0.1133	0.7548	-0.1133	-0.3636	182	183	147	168	5	0.1978	0.0824	0.978	0.0824	0.0879	82	4.63	1,065	91.3	0.7904	-3.2	-0.18	1,192	-4.7	-0.1162	competitive	0.0115	0.001	0.94	0.24	0.3972	0.0328	0.2935	-0.0328	0.0977	849,634	59.7	3.83	389	76.2	0.4652	19.1	0.62	1,868	0.209	0.9352	0.5803	0.9946	0.6692	0.6891	53,473	0.8465	10.4	349,361	4,560	23.1	58	4.5	14.4	849,635	985	56.5	4.25	349	77	0.477	22.3	0.2	1,908	0.1972	0.937	0.498	0.999	0.623	0.6331	62	57.37	26.95	0.6067	985	5.27	1,897	1,760	0.4649	4,648.68	0.29	33,941	34	0.0314	313.74	158.65	238.1	3.51	68.03	2.94	64.94	2.51	62.5	1.33	54.64	-3	0	0	0	-4	null	null	null	null	null	0.02	29,017	-0.011	-88.48	510,264	-0.669	0	6,952	-0.002	-87.94	100,644	-0.131	0.02	-17,680	0.037	-87.95	169,504	-0.226	0	36	-0.027	-88.03	-13,338	-0.066	0	87	-0.002	-87.92	-12,583	-0.045	0.6742	null	null	1,027	0.07	2	0.456	0.523	decelerating	0.07	0.47	2	2	20	113	0.701	0.706	0.707	0.446	0.497	221,055	234,514	233,522	27	194	decelerating	-0.06	null	84.32
8NDHZSFR	Steak 'n Shake	Food and Drink	Restaurants	Hamburger restaurant	Hamburger restaurant, American restaurant	1386 MO-376, Branson, MO 65616	1386 MO-376	Branson	Missouri	null	null	65,616	US	true	36.651737	-93.297473	America/Chicago	(417) 33-***	1	OPERATIONAL	true	true	null	true	Branson	Missouri	US	https	https://steaknshake.com/locations/mo-branson-w-highway-376	steaknshake.com/locations/mo-branson-w-highway-376	steaknshake.com	com	10,557	1997-06-03	2026-06-02	ENOM, INC.	null	null	0	0	0	Chain known for steakburgers & milkshakes offering a dinerlike space with retro flair.	true	true	3.65	1,629	{"1": 338, "2": 146, "3": 342, "4": 646, "5": 1400}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Braille menu, Coffee, Comfort food, Happy hour food, Late-night food, Quick bite, Small plates	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating	Bar onsite, Restroom	Casual, Trendy	College students, Family-friendly, Groups, Tourists	null	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	2025-12-24	2026-03-26	126	34	12	126	126	34	34	http://instagram.com/steaknshake	steaknshake	http://facebook.com/steaknshake	steaknshake	http://twitter.com/steaknshake	steaknshake	null	null	null	null	null	null	null	null	null	null	null	null	251,101	1.91	null	2.09	1.91	1.91	2,188	null	null	null	null	null	null	null	null	https://steaknshake.com	null	null	2026-04-24T19:32:06.867130+00:00	1,992.87	0.04	0	64,645.68	1,393.9	444.9339	0.12	73	100	62.9	0.2514	0.5303	0.022	0.1163	0.2327	0.25	0.191	0.2021	51.1	61.6	83.33	16.67	0	53.33	46.67	0	56.52	41.3	2.17	62.26	33.96	3.77	improving	declining	0.5083	-10.5	-0.2107	-17	6	15	46	106	-34.8	-43.4	20	57.9	32.8	32	80	26.5	100	3	207	4	121	20,450	169	10,259	1,207,854	13,259	10,611	3	8	9	2	62	90	1	70	95	3	186	168	314	13,634	28,419	786,928	1,595,281	786,928	0.4894	0.0678	0.3495	-0.0678	-1.032	0.35	0.0671	0.6124	-0.0671	-1.2949	0.4966	0.0231	0.2996	-0.0231	-0.9821	94	8	89	8	8	2	0.125	0.125	0.875	0.125	0.25	68.4	4.16	1,158	77.4	0.4226	-10.5	-0.51	471	-14.5	-0.3903	62	69	1	0.3146	0.236	1	0.236	0.191	60.4	3.79	558	76.9	0.4312	-2.5	-0.14	1,071	-14	-0.3989	70	67	3	0.266	Below Average	0.2979	0.9787	0.2979	0.2021	Average	61.7	3.71	584	72.7	Average	0.3975	-3.8	-0.06	1,045	-9.8	-0.3652	9	90	95	801	617	moderate	0.1495	2.55	12.5	0	50	37.5	3,334	1,013	competitive	0.0317	1.13	14.6	19.1	61.8	4.5	7,166	5,005	competitive	0.0288	0.3	14.9	16	61.7	7.4	0.046	0.512	-0.046	-1.1945	100	101	100	91	3	0.01	0.1	0.98	0.11	0.04	70.7	4.27	802	80.3	0.5433	-12.8	-0.62	827	-17.4	-0.511	competitive	0.0199	1.8	1	0	88	11	0.328	0.12	55.94	0.1603	0.8292	-0.1603	-1.5117	100	101	101	101	4	0	0	0.97	0	0	83.9	4.63	832	91.2	0.7958	-26	-0.98	797	-28.3	-0.7635	competitive	0.0192	0.0006	1.72	0.14	0.291	0.0328	0.2935	-0.0328	-0.976	849,634	59.7	3.83	389	76.2	0.4652	-1.8	-0.18	1,240	-0.4329	0.3277	0.139	0.9876	0.2205	0.165	569,423	0.4691	-13.3	729,393	10,543	23.1	58	4.5	14.4	849,635	38	57.3	3.88	562	68.3	0.3211	0.6	-0.23	1,067	-0.2888	0.4054	0.3243	0.973	0.3784	0.3243	23	55.44	-4.03	0.3784	38	79.13	126	227	6.3434	63,434.09	0.16	61,772	34	0.0135	134.73	223.6	1,111.11	10.08	111.11	8.29	105.26	3.97	99.01	3.69	99.01	1	0	0	0	13.3	null	null	null	null	null	0.86	84,801	0.887	0.86	84,801	0.887	0.23	659,111	0.15	0.23	659,111	0.15	0.19	657,636	0.146	0.19	657,636	0.146	0.25	133	0.18	0.25	133	0.18	0.37	11,064	0.24	0.37	11,064	0.24	0.0323	null	null	780	0.07	2	1	0.554	decelerating	0.07	0.47	2	2	14	96	0.701	0.706	0.707	1	0.508	221,055	234,514	233,522	1	75	decelerating	null	null	51.41

End of preview. Expand in Data Studio

Top 30% Active Restaurant Review Whales in Missouri, US

Free sample dataset from BeamStation

--High-Volume, Active targets--

This dataset lists the Top 30% Active Restaurant Review Whales in Missouri, US, capturing 239 records of high‑volume dining establishments that show strong review activity and consistent foot traffic. Updated weekly, each entry is validated by an "Active Heartbeat" signal that confirms ongoing, real‑world transactions. The data include location details, category tags, and measurable signals such as review counts and engagement metrics that reflect current market dynamics.

Ideal users are payment processors, POS system providers, and supply‑chain sales teams seeking to identify and engage with the most actively transacting restaurants in the state. By focusing on this verified slice of the market, outreach efforts can be directed toward venues with proven, sustained customer flow, improving conversion rates and optimizing resource allocation.

Dataset Details

Field	Value
Full dataset	239 records
Sample size	23 records
Location	Missouri
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-30-active-restaurant-review-whales-in-missouri-us-141131")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 239 records and unmasked contact data is available at:

Top 30% Active Restaurant Review Whales in Missouri, US on BeamStation

License

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

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