Datasets:

beamstation
/

top-10-active-restaurant-review-whales-in-texas-us-634231

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 float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	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 string	social_username_youtube string	social_profile_github string	social_username_github string	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_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_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 float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_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 float64	beam_trends_sentiment_recommend_pct float64
VXCTW2TP	McCormick & Schmick's Seafood & Steaks - CLOSED	Food and Drink	Restaurants	Restaurant	"Restaurant, American restaurant, Bar & grill, Fine dining restaurant, Takeout Restaurant, Seafood r(...TRUNCATED)	791 Town and Country Blvd, Houston, TX 77024	791 Town and Country Blvd	Houston	Texas	Westside	Memorial	77,024	US	true	29.778342	-95.561047	America/Chicago	(713) 46-***	4	null	true	Houston	Texas	US	https	https://mccormickandschmicks.com/location/mccormick-schmicks-houston-tx-town-country-village	mccormickandschmicks.com/location/mccormick-schmicks-houston-tx-town-country-village	mccormickandschmicks.com	com	10,532	1997-05-29	2031-05-28	Network Solutions, LLC	null	null	0	0	0	Upscale steak & seafood chain known for its clubby environs & happy hour.	4.07	1,320	{"1": 139, "2": 72, "3": 122, "4": 255, "5": 820}	Outdoor seating, Curbside pickup, 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, Happy hour drinks, Happy hour food, Hard liquor, Private dining r(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Cozy, Romantic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/mcandschmicks	mcandschmicks	https://www.facebook.com/mccormickandschmicks	mccormickandschmicks	https://twitter.com/mcandschmicks	mcandschmicks	null	null	null	null	https://www.youtube.com/user/mccormickandschmicks	mccormickandschmicks	null	null	null	null	null	null	24,646	0.32	0.21	0.25	0.32	0.32	1,603	null	null	null	null	null	null	null	null	null	null	null	null	https://mccormickandschmicks.com/location/mccormick-schmicks-houston-tx-town-country-village/#menus	https://mccormickandschmicks.com	https://mccormickandschmicks.com	2026-03-31T07:44:35.054041+00:00	1.07	44.44	0	780.99	8.9	76.284	2.73	81.4	100	75.3	0.5	0.5	0.4172	0.4884	0.5115	0.6102	0.6917	0.8452	70.9	75.6	100	0	75	25	0	75	22.73	2.27	75.19	23.31	1.5	improving	declining	0.0828	-4.7	-0.0943	-6.2	1	16	44	133	75.3	70.9	48	83	73	60	369	16,474	402	1,339	83,325	1,448	13,154	946,631	16,287	13,606	369	204,021	58	102,219	150,519	101	183,505	105,619	101	109,856	358	13,970	25,215	70,643	129,673	724,238	1,424,284	724,238	0.8382	0.3046	0.6905	0.4954	-0.3196	0.7102	0.2322	0.5206	0.5678	-0.1497	0.7557	0.3107	0.58	0.4893	-0.2091	100	57	100	204,021	322,974	102,219	0.717	0.551	0.8605	0.5674	0.6102	67.9	4.05	647	78.6	0.5168	7.8	0.02	673	-3.3	-0.0173	150,519	205,383	183,505	0.7921	0.7089	0.754	0.7099	0.6917	77.8	4.36	912	83.8	0.6245	-2.1	-0.29	408	-8.5	-0.125	105,619	121,580	109,856	0.8455	Strong	0.8155	0.8513	0.8215	0.8452	Strong	80.3	4.49	1,263	87.5	Market Leader	0.7066	-4.6	-0.42	57	-12.2	-0.2071	58	101	101	373	49	competitive	0.0346	18.14	5.3	22.8	47.4	24.6	3,677	1,106	competitive	0.0143	1.27	61	39	7,888	5,063	competitive	0.0103	0.32	43	57	0.1967	0.7919	0.6033	-0.421	100	101	2,675	10,820	457	0.8282	0.3108	0.9711	0.3876	0.4775	83.6	4.71	1,793	93.1	0.8185	-7.9	-0.64	-473	-17.8	-0.319	competitive	0.0073	0.06	16	84	0.7158	2.75	0.36	0.0833	0.8995	0.7167	-0.5286	100	101	14,866	54,737	1,460	0.8166	0.3289	0.9822	0.3896	0.4657	85.8	4.83	2,577	96	0.8746	-10.1	-0.76	-1,257	-20.7	-0.3751	competitive	0.0051	0.0001	1	0.03	0.72	0.2094	0.3682	0.5906	0.0027	828,388	62.9	3.88	394	76.6	0.4737	12.8	0.19	926	0.0258	0.8072	0.3083	0.9829	0.3754	0.4614	157,359	0.7103	-1.3	568,582	14,106	24.3	58.7	7.7	9.2	828,389	11,458	60.8	4.25	378	77.7	0.4771	14.9	-0.18	942	0.0224	0.8229	0.2539	0.9754	0.341	0.4414	1,999	58.84	19.31	0.5205	11,458	0.43	23,046	1,324	0.0778	778.11	0.03	291,455	42	0.0088	88.42	11.95	172.41	2.04	99.01	1.07	99.01	0.53	99.01	0.26	99.01	-8.7	0	7	0.1	-27.4	null	null	null	null	null	-0.02	25,030	-0.034	0.71	204,020	0.717	0	4,756	-0.008	0.76	150,513	0.792	0	3,482	-0.01	0.84	105,608	0.846	-0.21	-30,784	-0.112	0.72	2,675	0.828	-0.12	-40,101	-0.018	0.72	14,866	0.817	0.4995	100	1,320	0.53	16	0.897	0.901	accelerating	0.53	3.73	16	16	40	157	0.949	0.951	0.951	0.897	0.901	43,437	45,127	45,124	153	941	accelerating	0.06	null	78.15
8KG4X7FP	Meso Maya Comida y Copas	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	11909 Preston Rd Suite 1426, Dallas, TX 75230	11909 Preston Rd Suite 1426	Dallas	Texas	North Dallas	North Dallas	75,230	US	true	32.911339	-96.805156	America/Chicago	(469) 72-***	2	null	true	Dallas	Texas	US	https	https://mesomaya.com	mesomaya.com	mesomaya.com	com	5,526	2011-02-12	2026-06-09	GoDaddy.com, LLC	null	null	0	0	0	Contemporary Mexican eatery serving Oaxaca- & Puebla-inspired recipes to a trendy crowd.	4.48	1,288	{"1": 65, "2": 37, "3": 90, "4": 228, "5": 1077}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great wine list, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Happy hour drinks, Hard liquor, Healthy options, Small plates, Vegetarian(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	Family-friendly, Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, 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://mesomaya.com/menus/preston-forest/pfdinner	https://resy.com/cities/dallas-fort-worth-tx/venues/meso-maya-preston-forest	https://resy.com/cities/dallas-fort-worth-tx/venues/meso-maya-preston-forest	2026-03-28T02:14:58.752595+00:00	0	59.38	2.3	1,406.48	63.5	76.9231	1.54	89.6	100	86.5	0.7414	1	0.8972	0.9156	0.8678	0.4639	0.8109	0.8979	94.9	93.4	100	0	95	5	0	95.88	4.12	0	93.28	5.53	1.19	improving	stable	0.1028	1.5	0.0294	1.6	1	60	170	253	72.1	61.6	0	50	93.6	58	149	3,019	160	1,434	47,263	1,561	14,117	537,462	17,572	14,659	149	421,888	33	389,515	127,740	101	184,776	44,775	101	62,666	118	4,633	8,812	70,643	129,673	724,238	1,424,284	724,238	0.913	0.3033	0.7108	0.6967	0.2058	0.4071	0.1719	0.4182	0.8281	0.4984	0.7821	0.3187	0.6662	0.6813	0.2504	100	32	100	421,888	489,410	389,515	0.4209	0.326	0.47	0.351	0.4639	63.9	3.85	408	74.8	0.4742	9	0.63	880	11.7	0.2672	127,740	170,363	184,776	0.8234	0.7568	0.7522	0.7407	0.8109	78.3	4.39	910	84.3	0.6613	-5.4	0.09	378	2.2	0.0801	44,775	78,185	62,666	0.9331	Average	0.884	0.9152	0.8805	0.8979	Strong	81.3	4.53	1,404	88.4	Market Leader	0.7224	-8.4	-0.05	-116	-1.9	0.019	33	101	101	340	45	competitive	0.0898	10.19	9.4	28.1	43.8	18.8	3,773	1,165	competitive	0.014	1.27	58	42	7,404	5,024	competitive	0.0091	0.32	36	64	0.1061	0.731	0.8939	0.1856	100	101	1,315	1,999	167	0.7457	0.6114	0.9683	0.6823	0.8016	82.9	4.63	1,835	91	0.776	-10	-0.15	-547	-4.5	-0.0346	competitive	0.007	0.1	19	81	0.7722	1.55	0.64	0.0833	0.8995	0.9167	0.0171	100	101	21,487	30,229	1,572	0.7357	0.6248	0.9809	0.6746	0.7858	85.8	4.83	2,577	96	0.8746	-12.9	-0.35	-1,289	-9.5	-0.1332	competitive	0.005	0.0001	1	0.03	0.776	0.2094	0.3682	0.7906	0.5484	828,388	62.9	3.88	394	76.6	0.4737	10	0.6	894	0.2677	0.7226	0.6135	0.9815	0.6618	0.7851	227,358	0.7676	9.9	313,048	15,228	24.3	58.7	7.7	9.2	828,389	3,742	61.2	4.22	412	76.5	0.4527	11.7	0.26	876	0.2887	0.73	0.5688	0.9655	0.657	0.7904	997	55.49	35.1	0.8586	3,742	0.77	13,044	1,313	0.1406	1,406.48	0.03	291,455	42	0.0088	88.42	80.67	303.03	1.95	99.01	0.83	99.01	0.49	99.01	0.25	99.01	0.4	0.01	13	0.1	-36.6	null	null	null	null	null	-0.01	-2,695	0.004	0.41	421,884	0.421	0.02	-21,266	0.028	0.78	127,732	0.823	0.01	-24,457	0.034	0.91	44,740	0.933	-0.12	-77,843	-0.129	0.77	1,315	0.746	-0.07	-33,480	-0.099	0.78	21,487	0.736	0.7414	100	1,288	1.27	38	0.987	0.989	stable	1.27	8.87	38	38	131	273	0.986	0.987	0.987	0.987	0.989	12,399	12,848	12,827	8	91	stable	0	null	90.59
4EXBLNJU	Campisi's Restaurants \| Fort Worth	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Pizza delivery, Pizza restaurant	6150 Camp Bowie Blvd, Fort Worth, TX 76116	6150 Camp Bowie Blvd	Fort Worth	Texas	Ridglea North	Ridglea North	76,116	US	true	32.728876	-97.416411	America/Chicago	(817) 91-***	2	null	true	Fort Worth	Texas	US	https	https://campisis.us/locations/fort-worth	campisis.us/locations/fort-worth	campisis.us	us	8,293	2003-07-17	2030-07-16	GoDaddy.com, LLC	purchase_dataset@campisis.us, purchase_dataset@campisis.us	realdomain	2	2	0	"Long-standing Italian chain restaurant serving thin-crust pizza & classic fare. Delivery available.(...TRUNCATED)	4.16	1,180	{"1": 100, "2": 57, "3": 108, "4": 220, "5": 746}	Outdoor seating, Curbside pickup, 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, Hard liquor, Quick bite, Small p(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy	College students, Groups, Tourists	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/campisisrestaurants	campisisrestaurants	https://www.facebook.com/campisisrestaurants	campisisrestaurants	https://twitter.com/campisispizza	campisispizza	https://www.tiktok.com/@thecampisis	thecampisis	null	null	null	null	null	null	null	null	https://www.pinterest.com/campisis	campisis	12,940	0.09	null	null	0.09	0.09	1,610	null	null	null	null	947,000	1,498	37,800,000	7.16	10.58	5.97	7.43	7.16	https://campisis.us/menu	https://campisis.us/locations/fort-worth	https://campisis.us/locations/fort-worth	2026-03-23T05:05:53.486032+00:00	103.06	14.61	0	1,651.53	17.7	102.5381	1.09	83.2	100	77.5	0.5478	1	0.5198	0.5975	0.5777	0.5423	0.6081	0.7287	76	78.9	100	0	73.68	15.79	10.53	79.69	14.06	6.25	80	16.43	3.57	improving	declining	0.4802	-2.9	-0.0579	-3.7	5	19	64	140	81.8	54.5	92	100	77.2	92	109	2,746	124	2,395	77,130	2,694	22,497	877,014	28,193	23,963	109	186,218	54	263,992	213,164	101	211,074	123,739	101	74,111	324	2,282	4,769	70,643	129,673	724,238	1,424,284	724,238	0.8026	0.3519	0.6656	0.5231	-0.2023	0.7092	0.2528	0.435	0.6222	0.0283	0.6766	0.2387	0.5476	0.6363	-0.0843	100	53	100	186,218	189,008	263,992	0.7417	0.7347	0.6402	0.6456	0.5423	68.3	4.23	493	80	0.4967	10.3	-0.07	677	-2.6	0.0503	213,164	288,767	211,074	0.7081	0.5942	0.717	0.5562	0.6081	76.6	4.3	873	81.6	0.6023	2	-0.14	297	-4.2	-0.0553	123,739	220,861	74,111	0.821	Strong	0.681	0.8996	0.6409	0.7287	Strong	80.1	4.43	1,358	85.3	Market Leader	0.682	-1.5	-0.27	-188	-7.9	-0.135	54	101	101	456	23	competitive	0.0429	16.87	1.9	22.6	58.5	17	3,342	1,237	competitive	0.0132	1.27	74	26	7,273	5,000	competitive	0.0085	0.32	45	55	0.2751	0.7323	0.5999	-0.269	100	101	315	1,572	132	0.882	0.4108	0.951	0.4735	0.5596	82	4.5	1,416	87.2	0.72	-3.4	-0.34	-246	-9.8	-0.173	competitive	0.0082	0.11	27	73	0.7613	1.1	0.89	0.0833	0.8995	0.7917	-0.4362	100	101	8,641	50,434	2,908	0.8926	0.3805	0.9643	0.4291	0.5204	85.8	4.83	2,577	96	0.8746	-7.2	-0.67	-1,407	-18.6	-0.3276	competitive	0.0045	0.0001	1	0.03	0.7605	0.2094	0.3682	0.6656	0.0951	828,388	62.9	3.88	394	76.6	0.4737	15.7	0.28	776	0.0733	0.8883	0.3602	0.9671	0.4146	0.5158	90,334	0.7535	0.8	525,095	27,013	24.3	58.7	7.7	9.2	828,389	1,781	62.4	4.19	448	76.1	0.4652	16.2	-0.03	722	0.0818	0.8697	0.3393	0.9534	0.4197	0.5208	232	59.82	20.16	0.5612	1,781	1.09	9,189	985	0.1541	1,541.18	0.03	291,455	42	0.0088	88.42	18.37	185.19	1.75	99.01	0.73	99.01	0.67	99.01	0.2	99.01	-6.5	0	8	-0.1	-42.6	null	null	null	null	null	0.04	-50,809	0.07	0.71	186,217	0.742	0.01	-17,716	0.023	0.68	213,162	0.708	0.03	-29,283	0.036	0.8	123,736	0.821	0.01	-197,597	0.13	0.76	315	0.882	-0.08	-46,326	0.058	0.76	8,641	0.893	0.547	100	1,170	0.43	13	0.806	0.782	stable	0.43	3.03	13	13	45	155	0.929	0.932	0.932	0.806	0.782	59,136	61,460	61,468	6	220	stable	0.13	null	79.98
K5B4PDVH	Loro Asian Smokehouse & Bar	Food and Drink	Restaurants	Asian fusion restaurant	Asian fusion restaurant, Restaurant	1001 W 11th St, Houston, TX 77008	1001 W 11th St	Houston	Texas	Greater Heights	Greater Heights	77,008	US	true	29.790805	-95.407348	America/Chicago	(713) 93-***	2	null	true	Houston	Texas	US	https	https://loroeats.com/locations/houston/heights	loroeats.com/locations/houston/heights	loroeats.com	com	1,881	2021-02-04	2027-02-04	GoDaddy.com, LLC	"purchase_dataset@uchirestaurants.com, purchase_dataset@loroeats.com, purchase_dataset@loroeats.com,(...TRUNCATED)	realdomain	5	5	0	Asian fusion restaurant/bar offering grilled & smoked meats, plus snacks & happy hours.	4.42	1,219	{"1": 52, "2": 48, "3": 114, "4": 202, "5": 960}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, 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)	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Bar onsite, Restroom	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/loroeats	loroeats	https://www.facebook.com/loroeats	loroeats	https://twitter.com/loro51578	loro51578	https://www.tiktok.com/@loroeats	loroeats	null	null	null	null	null	null	null	null	null	null	82,540	0.22	null	0.14	0.22	0.22	1,321	null	null	null	null	4,052	154	20,600	0.68	null	3.37	3.46	0.68	https://loroeats.com/locations/houston/heights/menu	https://tables.toasttab.com/restaurants/da507d69-430f-498d-9d63-238685b17f16/findtime	https://tables.toasttab.com/restaurants/da507d69-430f-498d-9d63-238685b17f16/findtime	2026-03-23T03:45:56.733998+00:00	3.58	41.67	0	783.48	8.9	76.284	2.73	88.4	100	83.8	0.6317	0.5	0.626	0.6203	0.601	0.6538	0.9239	0.9612	81.3	80	100	0	78.79	21.21	0	81.4	16.28	2.33	81.44	14.95	3.61	declining	stable	-0.126	1.3	0.025	1.6	1	33	86	194	81	55.5	60	100	78.9	92	471	10,604	523	1,841	53,247	2,032	17,735	607,898	22,269	18,696	471	228,288	37	181,204	59,184	101	41,368	22,144	101	35,261	164	13,970	25,215	70,643	129,673	724,238	1,424,284	724,238	0.9489	0.3213	0.722	0.6787	-0.0726	0.6068	0.3706	0.518	0.6294	0.1314	0.8984	0.3369	0.6485	0.6631	0.0009	100	36	100	228,288	465,413	181,204	0.6836	0.3583	0.7528	0.4927	0.6538	67.4	3.88	558	77.3	0.5304	10.8	0.54	637	6.5	0.0975	59,184	116,966	41,368	0.9148	0.8302	0.9446	0.8267	0.9239	79.9	4.44	1,352	85.9	0.7061	-1.7	-0.02	-157	-2.1	-0.0782	22,144	53,028	35,261	0.9667	Average	0.9217	0.9522	0.9248	0.9612	Market Leader	82	4.57	1,547	89.5	Market Leader	0.7613	-3.8	-0.15	-352	-5.7	-0.1334	37	101	101	582	58	competitive	0.0562	11.46	11.1	5.6	69.4	13.9	2,923	1,016	competitive	0.0088	1.27	49	51	6,823	5,135	competitive	0.0077	0.32	31	69	0.1967	0.7943	0.8033	-0.1449	100	101	1,750	7,018	593	0.8869	0.5489	0.9622	0.5887	0.6292	83.6	4.71	1,793	93.1	0.8203	-5.4	-0.29	-598	-9.3	-0.1924	competitive	0.0066	0.06	17	83	0.8081	2.75	0.36	0.0833	0.8995	0.9167	-0.2501	100	101	9,428	34,179	2,352	0.8826	0.5769	0.9713	0.5965	0.6232	85.8	4.83	2,577	96	0.8746	-7.6	-0.41	-1,382	-12.2	-0.2467	competitive	0.0046	0.0001	1	0.03	0.8175	0.2094	0.3682	0.7906	0.2812	828,388	62.9	3.88	394	76.6	0.4737	15.3	0.54	801	0.1542	0.8778	0.5609	0.9729	0.5778	0.618	99,095	0.8113	7.2	356,797	22,288	24.3	58.7	7.7	9.2	828,389	11,458	60.8	4.25	378	77.7	0.4771	17.4	0.17	817	0.1508	0.8823	0.5093	0.9667	0.5546	0.6039	1,324	58.84	13.7	0.449	11,458	0.43	23,046	1,324	0.0778	778.19	0.03	291,455	42	0.0088	88.42	31.55	270.27	0.77	99.01	0.59	99.01	0.44	99.01	0.21	99.01	-8.9	0.01	7	0.1	-42.1	null	null	null	null	null	0	-22,021	0.03	0.61	228,287	0.684	-0.01	2,053	-0.006	0.9	59,183	0.915	0.01	-14,494	0.02	0.95	22,143	0.967	-0.12	-31,709	-0.053	0.81	1,750	0.887	-0.02	-45,539	0.048	0.82	9,428	0.883	0.6279	100	1,195	0.5	15	0.84	0.855	stable	0.5	3.5	15	15	52	209	0.944	0.946	0.946	0.84	0.855	47,774	49,638	49,640	5	21	stable	-0.4	null	72.54
7S8UK7XQ	Sundown at Granada	Food and Drink	Restaurants	Restaurant	Restaurant, Event venue	3520 Greenville Ave, Dallas, TX 75206	3520 Greenville Ave	Dallas	Texas	Lower Greenville	M Streets	75,206	US	true	32.830593	-96.769975	America/Chicago	(214) 82-***	2	null	true	Dallas	Texas	US	https	https://sundownatgranada.com	sundownatgranada.com	sundownatgranada.com	com	5,265	2011-10-31	2027-10-31	GoDaddy.com, LLC	null	null	0	0	0	Eatery & beer garden offering farm-to-table fare, 60+ beers & live music amid plank & brick walls.	4.32	1,330	{"1": 81, "2": 49, "3": 109, "4": 307, "5": 990}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Live music, Ro(...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)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists	Brunch reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/sundownatgranada	sundownatgranada	https://www.facebook.com/sundownatgranada	sundownatgranada	https://twitter.com/sundowndfw	sundowndfw	https://www.tiktok.com/@sundownatgranada	sundownatgranada	https://www.linkedin.com/company/sundown-at-granada	sundown-at-granada	null	null	null	null	null	null	null	null	18,756	0.15	null	0.11	0.15	0.15	3,974	null	null	null	null	646	142	2,049	3.2	1.05	7.99	5.96	3.2	https://sundownatgranada.com/menu	https://sundownatgranada.com/reservations	https://sundownatgranada.com/reservations	2026-03-19T07:24:13.422964+00:00	1.44	7.81	0	1,457.46	12.7	76.9231	1.54	86.4	100	83.4	0.4242	0.8333	0.6764	0.6972	0.5394	0.4546	0.9018	0.9349	83.8	77	100	0	81.82	9.09	9.09	87.1	9.68	3.23	77.11	8.43	14.46	improving	improving	0.1569	6.8	0.137	8.8	3	11	31	83	79.6	38.5	92	100	71.2	84	135	4,043	145	1,310	63,102	1,407	12,862	722,121	15,908	13,289	135	399,846	43	228,862	38,483	101	41,204	24,723	101	17,898	238	4,633	8,812	70,643	129,673	724,238	1,424,284	724,238	0.9464	0.1461	0.6581	0.8539	0.0359	0.5141	0.2274	0.3897	0.7726	0.3043	0.9261	0.2489	0.6438	0.7511	0.0502	100	42	100	399,846	415,858	228,862	0.4505	0.425	0.6879	0.4007	0.4546	64.3	3.94	519	75.7	0.4715	16.1	0.38	811	7.7	-0.0515	38,483	78,695	41,204	0.9443	0.8831	0.9448	0.8739	0.9018	80.5	4.48	1,354	86.9	0.6947	-0.1	-0.16	-24	-3.5	-0.2747	24,723	70,826	17,898	0.9633	Average	0.8946	0.9758	0.8948	0.9349	Market Leader	81.9	4.54	1,718	88.7	Market Leader	0.7418	-1.5	-0.22	-388	-5.3	-0.3218	43	101	101	606	43	competitive	0.0575	13.37	7.1	28.6	47.6	16.7	3,432	1,369	competitive	0.0097	1.27	47	53	6,298	5,017	competitive	0.0077	0.32	31	69	0.1061	0.7337	0.8939	-0.0397	100	101	385	2,615	149	0.9241	0.4926	0.9717	0.6029	0.4397	82.9	4.62	1,842	90.9	0.7744	-2.5	-0.3	-512	-7.5	-0.3544	competitive	0.0072	0.1	18	82	0.8089	1.55	0.64	0.0833	0.8995	0.9167	-0.2055	100	101	5,367	40,860	1,428	0.9329	0.4957	0.9826	0.5864	0.3862	85.8	4.83	2,577	96	0.8746	-5.4	-0.51	-1,247	-12.6	-0.4546	competitive	0.0051	0.0001	1	0.03	0.8166	0.2094	0.3682	0.7906	0.3258	828,388	62.9	3.88	394	76.6	0.4737	17.5	0.44	936	-0.0537	0.9313	0.4751	0.9833	0.5675	0.38	55,197	0.81	6.8	428,445	13,793	24.3	58.7	7.7	9.2	828,389	3,742	61.2	4.22	412	76.5	0.4527	19.2	0.1	918	-0.0327	0.9171	0.4309	0.969	0.5691	0.406	301	55.49	-14.47	0.3283	3,742	0.77	13,044	1,313	0.1412	1,412.27	0.03	291,455	42	0.0088	88.42	33.08	232.56	0.95	99.01	0.59	99.01	0.51	99.01	0.26	99.01	-6.3	0	16	0.1	-59.8	null	null	null	null	null	0.01	20,825	-0.028	0.51	399,845	0.451	0.01	-13,199	0.016	0.93	38,476	0.944	0.02	-30,209	0.044	0.95	24,709	0.963	-0.09	-78,773	0.049	0.81	385	0.924	-0.02	-49,600	0.099	0.82	5,367	0.933	0.42	100	1,322	0.17	5	0.663	0.644	decelerating	0.17	1.17	5	5	21	96	0.719	0.729	0.729	0.663	0.644	213,014	221,732	221,154	211	3,141	decelerating	-0.1	null	41.02
BJZW5MLJ	Sushi Axiom	Food and Drink	Restaurants	Japanese restaurant	"Japanese restaurant, Asian fusion restaurant, Asian restaurant, Bar, Ramen restaurant, Sushi restau(...TRUNCATED)	3211 Oak Lawn Ave C, Dallas, TX 75219	3211 Oak Lawn Ave C	Dallas	Texas	Oak Lawn	Oak Lawn	75,219	US	true	32.810318	-96.808334	America/Chicago	(214) 82-***	2	null	true	Dallas	Texas	US	https	https://axiomdallas.com	axiomdallas.com	axiomdallas.com	com	2,533	2019-04-24	2027-04-24	NETWORK SOLUTIONS, LLC.	purchase_dataset@gmail.com	null	1	1	0	"Sleek Japanese fusion eatery with a lineup of maki rolls & cocktails amid colorful, modern lighting(...TRUNCATED)	4.22	1,230	{"1": 105, "2": 59, "3": 77, "4": 220, "5": 804}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great cocktails, Great tea selection, Great wine list, Sports	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, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Dinner reservations recommended, Accepts reservations	Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/axiommedicalspa	axiommedicalspa	https://www.facebook.com/sushiaxiomdallas	sushiaxiomdallas	https://twitter.com/sidkrishna	sidkrishna	null	null	https://www.linkedin.com/company/axiomsales	axiomsales	null	null	null	null	null	null	null	null	1,121	0.55	null	1.03	0.56	0.55	229	null	null	null	null	null	null	null	null	null	null	null	null	https://axiomdallas.com/menu	https://tbdine.com/book/restaurant/trinity-hospitality-group-llc-sushi-axiom?idapp=68775&language=en	https://tbdine.com/book/restaurant/trinity-hospitality-group-llc-sushi-axiom?idapp=68775&language=en	2026-03-19T04:28:38.940318+00:00	0.09	9.38	0.3	1,439.84	15.9	76.9231	1.54	84.4	100	80.3	0.5952	0.75	0.9298	0.6545	0.669	0.3585	0.9677	0.7382	96.5	83.5	75	25	94.12	0	5.88	82.98	14.89	2.13	84.54	14.95	0.52	declining	improving	-0.1798	13	0.2608	15.6	4	17	47	194	78.9	39.5	60	100	92.4	84	171	4,589	187	1,742	71,947	1,921	16,899	821,401	21,213	17,756	171	343,106	84	94,439	13,399	101	5,499	166,484	101	130,435	295	4,633	8,812	70,643	129,673	724,238	1,424,284	724,238	0.7702	0.2837	0.612	0.2163	0.0285	0.5577	0.2214	0.3646	0.2786	0.2759	0.9712	0.1486	0.6733	0.3514	-0.0328	100	83	100	343,106	520,027	94,439	0.5271	0.2854	0.871	0.4753	0.3585	65.3	3.81	659	77	0.4436	12.8	0.41	571	3.3	0.1499	13,399	40,322	5,499	0.98	0.9382	0.9926	0.9389	0.9677	81.9	4.54	1,872	88.7	0.7435	-3.8	-0.32	-642	-8.4	-0.15	166,484	186,708	130,435	0.765	Average	0.7239	0.8234	0.7055	0.7382	Market Leader	79.6	4.45	1,215	86.1	Strong	0.6839	-1.5	-0.23	15	-5.8	-0.0904	84	101	101	546	10	competitive	0.022	26.42	9.6	25.3	48.2	16.9	2,845	1,025	competitive	0.0065	1.27	30	70	7,088	5,010	competitive	0.01	0.32	50	50	0.1136	0.734	0.3864	-0.0935	100	101	650	3,029	210	0.8742	0.4175	0.9597	0.5133	0.6165	82.9	4.63	1,868	91	0.7762	-4.8	-0.41	-638	-10.7	-0.1827	competitive	0.0065	0.1	18	82	0.7628	1.55	0.64	0.0833	0.8995	0.4167	-0.259	100	101	9,654	46,995	1,912	0.8803	0.4215	0.9767	0.4999	0.5762	85.8	4.83	2,577	96	0.8746	-7.7	-0.61	-1,347	-15.7	-0.2811	competitive	0.0048	0.0001	1	0.03	0.7716	0.2094	0.3682	0.2906	0.2723	828,388	62.9	3.88	394	76.6	0.4737	15.2	0.34	836	0.1198	0.8751	0.4005	0.9777	0.4824	0.572	101,259	0.7635	3.7	490,987	18,392	24.3	58.7	7.7	9.2	828,389	3,742	61.2	4.22	412	76.5	0.4527	16.9	0	818	0.1408	0.8645	0.3587	0.9612	0.4753	0.5899	501	55.49	27.33	0.6485	3,742	0.77	13,044	1,313	0.1432	1,431.96	0.03	291,455	42	0.0088	88.42	4.84	119.05	0.43	99.01	1	99.01	0.43	99.01	0.23	99.01	-7.5	0.01	31	0	-58.2	null	null	null	null	null	-0.04	55,417	-0.075	0.56	343,105	0.527	0	-7,486	0.012	0.97	13,398	0.98	0	1,399	-0.003	0.77	166,483	0.765	-0.13	-78,508	-0.001	0.76	650	0.874	-0.06	-45,313	0.046	0.77	9,654	0.88	0.5935	50	1,212	0.2	6	0.615	0.581	decelerating	0.2	1.4	6	6	33	210	0.774	0.782	0.782	0.615	0.581	173,580	180,528	180,244	13	273	decelerating	-0.07	null	82.82
7M9GW9LU	José	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Restaurant	4931 W Lovers Ln, Dallas, TX 75209	4931 W Lovers Ln	Dallas	Texas	Bluffview	Bluffview	75,209	US	true	32.85155	-96.8256	America/Chicago	(214) 89-***	2	null	true	Dallas	Texas	US	http	http://jose.mx	jose.mx	jose.mx	mx	4,104	2015-01-04	2027-01-04	GoDaddy.com	purchase_dataset@jose.mx, purchase_dataset@hotmail.es, purchase_dataset@jose.mx	realdomain	3	3	0	Sophisticated Mexican joint for tacos, enchiladas, rellenos, beer & mezcal margaritas.	4.39	1,228	{"1": 72, "2": 56, "3": 98, "4": 230, "5": 1052}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Serves local specialty, Sports	Breakfast, 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, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy, Upscale	Family-friendly, Groups, Tourists	Brunch reservations recommended, Dinner reservations recommended, 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/joseoplmx	joseoplmx	https://www.facebook.com/100075175573093	100075175573093	https://twitter.com/jose241mx	jose241mx	https://www.tiktok.com/@jose_mx.._	jose_mx.._	null	null	null	null	https://github.com/jlopez-mx	jlopez-mx	null	null	https://www.pinterest.com/josemorixe17	josemorixe17	4	0	null	null	null	null	0	null	null	null	null	105,800	117	2,200,000	10.37	7.29	8.98	10.37	10.37	https://jose.mx/menu	https://opentable.com/restaurant/profile/370975	https://opentable.com/restaurant/profile/370975	2026-03-19T04:02:32.067604+00:00	8.11	39.68	0	1,599.33	10.4	76.9231	1.54	87.8	100	84	0.7126	1	0.7181	0.7583	0.7062	0.7921	0.7507	0.9602	85.9	85.3	100	0	86.17	11.7	2.13	87.57	10.27	2.16	84.56	12.36	3.09	improving	stable	0.2819	0.6	0.0119	0.7	11	94	185	259	84.5	48.8	100	100	85.4	84	174	3,580	190	1,757	56,089	1,939	17,022	642,203	21,367	17,901	174	101,201	32	339,318	106,160	101	142,284	16,701	101	6,726	187	4,633	8,812	70,643	129,673	724,238	1,424,284	724,238	0.9678	0.1375	0.6936	0.8625	0.012	0.7388	0.2769	0.5397	0.7231	0.1659	0.8014	0.3636	0.6082	0.6364	0.0974	100	31	100	101,201	156,982	339,318	0.8595	0.7785	0.5379	0.8478	0.7921	70.8	4.28	441	84.2	0.5806	14.3	0.11	787	-0.2	0.1291	106,160	193,590	142,284	0.8524	0.7255	0.8092	0.7288	0.7507	78.8	4.37	985	84.1	0.6425	6.3	0.02	243	-0.1	0.0672	16,701	44,625	6,726	0.9756	Strong	0.9344	0.9909	0.9361	0.9602	Market Leader	82.3	4.59	1,881	90	Market Leader	0.7604	2.8	-0.2	-653	-6	-0.0507	32	101	101	571	58	competitive	0.0824	9.87	3.2	16.1	67.7	12.9	3,847	1,200	competitive	0.0123	1.27	59	41	7,129	5,011	competitive	0.0065	0.32	26	74	0.1061	0.7226	0.8939	-0.017	100	101	83	2,314	236	0.9839	0.5506	0.9547	0.6188	0.7683	82.7	4.62	1,890	90.9	0.7737	2.4	-0.23	-662	-6.9	-0.064	competitive	0.0065	0.1	20	80	0.8452	1.55	0.63	0.0833	0.8995	0.9167	-0.1939	100	101	802	36,094	1,928	0.9897	0.5533	0.9765	0.6019	0.741	85.8	4.83	2,577	96	0.8746	-0.7	-0.44	-1,349	-12	-0.1649	competitive	0.0047	0.0001	1	0.03	0.8548	0.2094	0.3682	0.7906	0.3374	828,388	62.9	3.88	394	76.6	0.4737	22.2	0.51	834	0.236	0.9914	0.535	0.9775	0.5835	0.7379	6,732	0.8503	7.4	378,286	18,559	24.3	58.7	7.7	9.2	828,389	3,742	61.2	4.22	412	76.5	0.4527	23.9	0.17	816	0.257	0.9826	0.4983	0.9604	0.587	0.7519	64	55.49	28.65	0.6806	3,742	0.77	13,044	1,313	0.1449	1,449.06	0.03	291,455	42	0.0088	88.42	67.87	312.5	1.52	99.01	0.42	99.01	0.42	99.01	0.22	99.01	-1.6	0.01	68	0.2	-48.3	null	null	null	null	null	0	-5,592	0.008	0.74	101,200	0.86	0.01	-17,131	0.022	0.8	106,146	0.852	0.01	-15,740	0.022	0.97	16,629	0.976	-0.05	-79,075	0.109	0.85	83	0.984	0	-54,165	0.155	0.85	802	0.99	0.7097	100	1,204	0.83	25	0.965	0.976	decelerating	0.83	5.83	25	25	137	276	0.974	0.975	0.975	0.965	0.976	22,735	23,587	23,578	20	193	decelerating	-1	null	84.14
YY2WVJ69	Meso Maya Comida y Copas	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	4123 Abrams Rd, Dallas, TX 75214	4123 Abrams Rd	Dallas	Texas	Wilshire Heights	Northeast Dallas	75,214	US	true	32.835963	-96.753808	America/Chicago	(469) 99-***	2	null	true	Dallas	Texas	US	https	https://mesomaya.com	mesomaya.com	mesomaya.com	com	5,526	2011-02-12	2026-06-09	GoDaddy.com, LLC	null	null	0	0	0	Contemporary Mexican eatery serving Oaxaca- & Puebla-inspired recipes to a trendy crowd.	4.56	1,228	{"1": 44, "2": 37, "3": 81, "4": 255, "5": 1174}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Serves local s(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Happy hour drinks, Hard liquor, Healthy options, Private dining room, Sma(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy, Upscale	Family-friendly, Groups, Tourists	Lunch reservations recommended, Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, 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://mesomaya.com/menus/lakewood/lwdinner	https://resy.com/cities/dallas-fort-worth-tx/venues/meso-maya-lakewood	https://resy.com/cities/dallas-fort-worth-tx/venues/meso-maya-lakewood	2026-03-19T03:20:18.728487+00:00	0	18.75	2	1,408.4	63.5	76.9231	1.54	91.2	100	89.3	0.781	1	0.9015	0.9245	0.8894	0.8285	0.8213	0.9494	95.1	94.5	100	0	95	5	0	96.47	3.53	0	94.92	4.69	0.39	improving	stable	0.0985	0.6	0.0121	0.6	6	60	170	256	73.2	44	0	67	93.6	84	172	2,536	188	1,754	39,349	1,935	17,011	441,780	21,352	17,889	172	111,349	26	130,606	54,807	101	71,891	19,802	101	10,239	79	4,633	8,812	70,643	129,673	724,238	1,424,284	724,238	0.9581	0.1724	0.6891	0.8276	0.2277	0.8157	0.274	0.4576	0.726	0.4592	0.8885	0.3094	0.605	0.6906	0.3118	100	25	100	111,349	163,351	130,606	0.8453	0.7702	0.8218	0.6982	0.8285	70.4	4.27	610	81	0.5971	3.6	0.29	618	8.3	0.1828	54,807	116,966	71,891	0.9209	0.8302	0.9036	0.8162	0.8213	80	4.44	1,179	85.7	0.6647	-6	0.12	49	3.6	0.1152	19,802	58,033	10,239	0.9701	Market Leader	0.914	0.9861	0.9112	0.9494	Market Leader	82.1	4.56	1,824	89.1	Market Leader	0.753	-8.1	0	-596	0.2	0.0269	26	101	101	271	105	competitive	0.0745	7.96	0	24	56	20	3,325	1,597	competitive	0.0103	1.27	48	52	6,929	5,044	competitive	0.0067	0.32	32	68	0.1236	0.7324	0.8764	0.1844	100	101	1,173	1,688	188	0.7748	0.6689	0.9643	0.7647	0.8492	82.9	4.63	1,837	90.9	0.7751	-8.9	-0.07	-609	-1.6	0.0048	competitive	0.0066	0.1	18	82	0.7999	1.55	0.64	0.0833	0.8995	0.9167	0.0173	100	101	18,799	25,206	1,928	0.7687	0.6859	0.9765	0.7539	0.8364	85.8	4.83	2,577	96	0.8746	-11.8	-0.27	-1,349	-6.7	-0.0947	competitive	0.0047	0.0001	1	0.03	0.8062	0.2094	0.3682	0.7906	0.5486	828,388	62.9	3.88	394	76.6	0.4737	11.1	0.68	834	0.3062	0.7563	0.6826	0.9775	0.7513	0.8395	199,457	0.8006	12.7	256,154	18,559	24.3	58.7	7.7	9.2	828,389	3,742	61.2	4.22	412	76.5	0.4527	12.8	0.34	816	0.3272	0.757	0.6335	0.9604	0.7437	0.8401	905	55.49	34.75	0.8487	3,742	0.77	13,044	1,313	0.1408	1,408.4	0.03	291,455	42	0.0088	88.42	55.5	384.62	1.06	99.01	0.45	99.01	0.44	99.01	0.22	99.01	1.5	0.02	91	0.5	-52.4	null	null	null	null	null	0	-8,368	0.012	0.82	111,348	0.845	0.01	-20,269	0.025	0.89	54,789	0.921	0.01	-19,635	0.028	0.96	19,746	0.97	-0.09	-77,985	-0.1	0.8	1,173	0.775	-0.05	-36,168	-0.066	0.81	18,799	0.769	0.7799	100	1,198	0.4	12	0.907	0.916	decelerating	0.4	2.8	12	12	102	273	0.92	0.923	0.923	0.907	0.916	66,515	69,132	69,106	44	619	decelerating	-0.67	null	90.24
3QWMD7EB	Little Katana Las Colinas	Food and Drink	Restaurants	Sushi restaurant	Sushi restaurant, Japanese restaurant, Restaurant	6420 N MacArthur Blvd #140, Irving, TX 75039	6420 N MacArthur Blvd #140	Irving	Texas	Las Colinas	Freeport/Hackberry	75,039	US	true	32.896397	-96.957714	America/Chicago	(972) 36-***	2	null	true	Irving	Texas	US	http	http://lklascolinas.com	lklascolinas.com	lklascolinas.com	com	3,344	2017-02-02	2030-02-02	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	Polished Japanese eatery & sushi bar offering classic rolls & entrees in a cozy brick-lined space.	4.57	1,181	{"1": 41, "2": 30, "3": 63, "4": 225, "5": 1051}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great wine list, Serves local specialty, Sports	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, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Romantic, Trendy, Upscale	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs, Kids' menu	true	purchase_dataset@	true	true	1	null	null	https://www.facebook.com/littlekatanalascolinas	littlekatanalascolinas	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://lklascolinas.com/order-online	https://lklascolinas.com/reservations	https://lklascolinas.com/reservations	2026-03-19T02:20:08.897856+00:00	0	1.97	1.1	4,373.74	302.4	69.273	0.31	91.4	100	90.2	0.8074	0.75	0.7633	0.7427	0.7922	0.289	0.5229	0.4047	88.2	89.6	100	0	91.3	8.7	0	86.57	10.45	2.99	90.67	8	1.33	stable	stable	-0.0133	-1.4	-0.0289	-1.6	4	23	67	150	76.1	39.5	8	100	89.4	84	37	313	41	2,364	38,396	2,661	22,256	430,604	27,899	23,702	37	309,092	52	82,450	207,960	101	130,864	339,755	101	274,080	74	795	1,438	70,643	129,673	724,238	1,424,284	724,238	0.5265	0.3079	0.5627	0.3588	0.1626	0.5628	0.2461	0.3533	0.4206	0.372	0.6715	0.3656	0.5628	0.3011	0.1625	100	51	100	309,092	566,442	82,450	0.5734	0.224	0.8875	0.2751	0.289	65.9	3.74	680	73.3	0.4219	10.8	0.83	501	16.9	0.3849	207,960	389,935	130,864	0.7151	0.4603	0.8244	0.4477	0.5229	76.7	4.23	1,009	80.1	0.5802	0	0.34	172	10.1	0.2266	339,755	421,620	274,080	0.5335	Average	0.4145	0.6293	0.416	0.4047	Strong	77.3	4.3	990	82.2	Average	0.6018	-0.6	0.27	191	8	0.205	52	101	101	438	38	competitive	0.0329	16.23	7.8	19.6	62.7	9.8	3,188	1,107	competitive	0.0116	1.27	73	27	7,304	5,047	competitive	0.0118	0.32	70	30	0.2793	0.6034	0.3874	0.1219	100	101	123	211	37	0.8633	0.7696	0.9612	0.8579	0.9268	78.4	4.32	1,123	82.6	0.6203	-1.7	0.25	58	7.6	0.1865	competitive	0.0104	0.57	65	35	0.8646	0.31	3.05	0.0833	0.8995	0.5834	-0.1742	100	101	12,621	24,617	2,627	0.8436	0.6935	0.9678	0.7781	0.8668	85.8	4.83	2,577	96	0.8746	-9.1	-0.26	-1,396	-5.8	-0.0678	competitive	0.0046	0.0001	1	0.03	0.8358	0.2094	0.3682	0.4573	0.3571	828,388	62.9	3.88	394	76.6	0.4737	13.8	0.69	787	0.3331	0.8362	0.6908	0.97	0.7783	0.8727	133,301	0.8327	13.6	249,567	24,699	24.3	58.7	7.7	9.2	828,389	667	62.1	4.09	493	74.5	0.4226	14.6	0.48	688	0.3842	0.8529	0.7357	0.9505	0.8348	0.9189	96	55.61	36.64	0.9339	667	3.9	2,567	1,458	0.4374	4,373.74	0.03	291,455	42	0.0088	88.42	10.85	192.31	1.34	99.01	1.39	99.01	1.08	99.01	0.21	99.01	-4.1	-0.01	58	-0.2	-56.4	null	null	null	null	null	-0.03	49,643	-0.067	0.56	309,091	0.573	0	12,280	-0.017	0.67	207,959	0.715	-0.02	37,555	-0.051	0.53	339,754	0.534	0.29	-333,444	0.273	0.86	123	0.863	-0.03	-42,346	0.009	0.84	12,621	0.844	0.8068	100	1,165	0.2	6	0.714	0.577	decelerating	0.2	1.4	6	6	37	162	0.774	0.782	0.782	0.714	0.577	173,580	180,528	180,244	2	202	decelerating	-0.2	null	92.25
PFFYG82J	Saltgrass Steak House	Food and Drink	Restaurants	Steak house	Steak house, American restaurant, Seafood restaurant	1001 Avenida De Las Americas Ste B, Houston, TX 77010	1001 Avenida De Las Americas Ste B	Houston	Texas	Downtown Houston	Downtown	77,010	US	true	29.753366	-95.357606	America/Chicago	(713) 27-***	2	null	true	Houston	Texas	US	https	https://saltgrass.com/location/saltgrass-downtown-houston	saltgrass.com/location/saltgrass-downtown-houston	saltgrass.com	com	11,075	1995-12-04	2029-12-03	Network Solutions, LLC	"purchase_dataset@saltgrass.com, purchase_dataset@ldry.com, purchase_dataset@ldry.com, purchase_data(...TRUNCATED)	realdomain	9	0	9	Informal Texas-themed chain offers a meaty menu & full bar amid cattle kitsch decor.	4.33	1,204	{"1": 118, "2": 35, "3": 49, "4": 143, "5": 917}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great beer selection, Great cocktails, Sports	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, Ve(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/saltgrass	saltgrass	https://www.facebook.com/saltgrass	saltgrass	https://twitter.com/saltgrasssteak	saltgrasssteak	null	null	https://www.linkedin.com/company/saltgrass-steak-house	saltgrass-steak-house	null	null	null	null	null	null	null	null	42,018	0.37	null	0.49	0.37	0.37	1,534	null	null	null	null	null	null	null	null	null	null	null	null	https://saltgrass.com/location/saltgrass-downtown-houston/#menus	https://saltgrass.com/location/saltgrass-downtown-houston	https://saltgrass.com/location/saltgrass-downtown-houston	2026-03-18T12:07:42.898909+00:00	1.82	55.56	0	784.68	8.9	76.284	2.73	86.6	100	83.5	0.6441	0.8333	0.8186	0.6372	0.8225	0.893	0.9536	0.7952	90.9	91.1	100	0	90.63	9.38	0	82.46	17.54	0	91.23	8.77	0	stable	stable	0.0147	-0.2	-0.0039	-0.2	3	32	114	422	79.2	47.4	48	100	88.9	82	496	12,169	555	2,019	61,788	2,242	19,185	707,290	24,094	20,313	496	39,056	101	42,411	31,881	101	36,495	97,073	101	37,388	235	13,970	25,215	70,643	129,673	724,238	1,424,284	724,238	0.859	0.233	0.6317	0.767	0.1915	0.9179	0.2658	0.5179	0.7342	0.3053	0.9407	0.3675	0.6942	0.6325	0.129	100	100	100	39,056	99,951	42,411	0.9458	0.8564	0.9422	0.8397	0.893	74.8	4.37	796	84	0.6341	5.1	-0.04	408	-0.5	0.0092	31,881	58,510	36,495	0.9531	0.9135	0.9511	0.9102	0.9536	80.7	4.51	1,397	87.8	0.727	-0.8	-0.18	-193	-4.3	-0.0837	97,073	153,317	37,388	0.8576	Market Leader	0.7704	0.9494	0.7716	0.7952	Market Leader	80.4	4.47	1,534	86.9	Market Leader	0.6959	-0.5	-0.14	-330	-3.4	-0.0526	101	101	101	669	102	competitive	0.0149	31.83	0	4	69	27	3,181	1,001	competitive	0.0085	1.27	43	57	7,180	5,024	competitive	0.0078	0.32	50	50	0.1777	0.7883	0.8223	0.0349	100	101	1,133	8,043	593	0.9264	0.4809	0.9622	0.5842	0.6555	83.5	4.71	1,802	93	0.8153	-3.6	-0.38	-598	-9.5	-0.172	competitive	0.0066	0.06	17	83	0.8035	2.75	0.36	0.0833	0.8995	0.9167	-0.0763	100	101	6,199	40,039	2,205	0.9224	0.5031	0.973	0.5888	0.644	85.8	4.83	2,577	96	0.8746	-5.9	-0.5	-1,373	-12.5	-0.2313	competitive	0.0047	0.0001	1	0.03	0.8118	0.2094	0.3682	0.7906	0.455	828,388	62.9	3.88	394	76.6	0.4737	17	0.45	810	0.1696	0.9202	0.4828	0.9744	0.5698	0.6396	64,180	0.8052	6.9	419,892	21,061	24.3	58.7	7.7	9.2	828,389	11,458	60.8	4.25	378	77.7	0.4771	19.1	0.08	826	0.1662	0.9208	0.4355	0.9678	0.5465	0.626	882	58.84	25.28	0.6437	11,458	0.43	23,046	1,324	0.0782	781.79	0.03	291,455	42	0.0088	88.42	2.22	99.01	0.73	99.01	0.61	99.01	0.44	99.01	0.22	99.01	-6.2	0.02	83	0.4	-48.5	null	null	null	null	null	0	1,806	-0.003	0.92	39,053	0.946	0.01	-16,361	0.02	0.94	31,875	0.953	-0.02	27,841	-0.042	0.86	97,064	0.858	-0.13	-32,326	-0.014	0.8	1,133	0.926	-0.03	-48,768	0.088	0.81	6,199	0.922	0.6433	100	1,171	0.67	20	0.808	0.825	decelerating	0.67	4.67	20	20	79	456	0.964	0.965	0.965	0.808	0.825	31,295	32,488	32,468	15	98	decelerating	-0.06	null	84.12

Top 10% Active Restaurant Review Whales in Texas, US

Free sample dataset from BeamStation

Top 10% Active Restaurant Review Whales in Texas, US is a weekly‑updated dataset that lists 1,768 restaurants across Texas which rank in the top ten percent of their local market for proven foot traffic and review volume over the past thirty days within a ten‑kilometer radius. These establishments are identified as the highest‑velocity, actively transacting accounts, making them ideal targets for payment processing providers, point‑of‑sale vendors, and supply‑chain sales teams seeking businesses with consistent customer engagement. Each record is validated by an "Active Heartbeat" signal that confirms ongoing activity and reliability. The dataset is refreshed every week to capture changes in foot traffic and review momentum, ensuring users have current information for outreach, partnership development, or market analysis. Professionals in fintech, hospitality technology, and B2B sales can leverage this list to prioritize high‑potential restaurant accounts in Texas.

Dataset Details

Field	Value
Full dataset	1,768 records
Sample size	10 records
Location	Texas
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-texas-us-634231")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 1,768 records and unmasked contact data is available at:

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

License

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

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