Datasets:

beamstation
/

restaurant-tiktok-renegades-in-florida-us-232022

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	census_place null	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube 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 int64	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 int64	first_social_post_days_min null	first_social_post_days_max null	last_social_post_days_min null	last_social_post_days_max null	tiktok_followers int64	tiktok_video_count int64	tiktok_heart_count int64	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_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_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 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_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_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall null	beam_trends_score_90d_rating null	beam_trends_score_90d_review_count null	beam_trends_score_90d_beam_rating_health null	beam_trends_score_90d_beam_popularity_percentile null	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d null	beam_trends_sentiment_recommend_pct float64
PMW45NR6	Via Emilia 9	Food and Drink	Restaurants	Northern Italian restaurant	Northern Italian restaurant, Restaurant	1120 15th St, Miami Beach, FL 33139	1120 15th St	Miami Beach	Florida	Flamingo / Lummus	Flamingo Lummus	33,139	US	true	25.7872	-80.140372	America/New_York	(786) 21-***	4	null	true	Miami Beach	Florida	US	http	http://viaemilia9.com	viaemilia9.com	viaemilia9.com	com	4,318	2014-06-05	2027-06-05	GoDaddy.com, LLC	"purchase_dataset@viaemilia9.com, purchase_dataset@viaemilia9.com, purchase_dataset@viaemilia9.com, (...TRUNCATED)	realdomain	4	4	0	Italian eatery serving housemade pasta & wine in charming digs with an outdoor deck & food market.	4.42	739	{"1": 55, "2": 22, "3": 41, "4": 67, "5": 552}	Outdoor seating, No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Great cocktails, Great coffee, Great dessert, Great wine list	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Happy hour drinks, Happy hour food, Healthy options, Organic d(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Restroom, Wi-Fi	Casual, Cozy, Quiet, Romantic, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Lunch reservations recommended, Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	6	https://www.instagram.com/via_emilia9	via_emilia9	https://www.facebook.com/viaemilia9miami	viaemilia9miami	https://twitter.com/via_emilia9	via_emilia9	https://www.tiktok.com/@viaemilia9miami	viaemilia9miami	https://www.linkedin.com/in/elisa-bompani-558083a5	elisa-bompani-558083a5	null	null	null	null	null	null	https://www.pinterest.com/viaemilia9	viaemilia9	11,246	0.33	null	null	0.33	0.33	1,522	null	null	null	null	46	53	1,005	3.48	3.55	3.48	3.48	3.48	https://viaemilia9.com/menu-food	https://restaurent.com/venue-details/via-emilia-9-33139/r/recxgiththfw0pnwc	https://restaurent.com/venue-details/via-emilia-9-33139/r/recxgiththfw0pnwc	2026-03-25T06:40:51.011342+00:00	13.57	0.8	20,991.75	166.2	48.0266	0.36	88.4	95.6	84.3	0.447	0	0.6732	0.5338	0.5069	0.9649	0.9786	0.9388	83.7	75.3	0	100	78.57	7.14	14.29	84.62	7.69	7.69	87.8	3.66	8.54	declining	improving	-0.6732	8.4	0.1663	11.2	1	14	26	82	82.5	51.5	100	100	67.5	96	300	615	384	14,489	40,528	20,019	155,582	610,084	219,530	167,391	300	8,662	101	18,500	13,399	101	24,688	12,727	101	38,240	214	692	1,068	48,299	85,635	724,238	1,424,284	724,238	0.9687	0.2167	0.7586	-0.2167	-0.1696	0.9773	0.2586	0.6765	-0.2586	-0.0875	0.9742	0.1277	0.6921	-0.1277	-0.1031	100	100	100	8,662	22,448	18,500	0.9876	0.9661	0.9748	0.9588	0.9649	79.2	4.55	1,007	88.4	0.7067	-0.1	-0.13	-287	-4.1	-0.2597	13,399	17,914	24,688	0.98	0.9737	0.9669	0.9695	0.9786	81.9	4.64	1,537	90.7	0.7667	-2.8	-0.22	-817	-6.4	-0.3197	12,727	18,340	38,240	0.981	Market Leader	0.9729	0.9482	0.9692	0.9388	Market Leader	82.6	4.7	1,529	92.5	Market Leader	0.7447	-3.5	-0.28	-809	-8.2	-0.2977	101	101	101	736	17	competitive	0.0071	31.83	0	0	46	54	1,895	1,002	competitive	0.0047	1.27	0	0	25	75	6,612	5,044	competitive	0.0047	0.32	0	23	77	0.0978	0.7646	-0.0978	-0.1756	100	101	220	478	368	0.7259	0.4093	0.5505	0.4373	0.2911	83.1	4.69	1,681	92	0.7859	-4	-0.27	-961	-7.7	-0.3389	competitive	0.0043	2.54	15	85	0.5783	0.36	10.03	0.0563	0.9035	-0.0563	-0.3145	100	101	7,590	26,372	17,270	0.8614	0.5208	0.6915	0.5526	0.3872	85.8	4.86	2,595	96.8	0.848	-6.7	-0.44	-1,875	-12.5	-0.401	competitive	0.0028	0.0005	1	0.04	0.7083	0.2094	0.3682	-0.2094	0.2208	828,388	62.9	3.88	394	76.6	0.4737	16.2	0.54	326	-0.0267	0.9011	0.5609	0.7779	0.5924	0.4067	79,893	0.7621	7.7	356,797	183,664	24.3	58.7	7.7	9.2	828,389	653	69.2	4.39	710	82.9	0.5722	9.9	0.03	10	-0.1252	0.7163	0.3988	0.5429	0.4202	0.2761	182	64.22	-34.4	0.1871	653	12.06	829	2,103	2.0286	20,285.8	0.05	215,382	116	0.012	120.5	0.5	99.01	0.22	99.01	0.22	99.01	0.18	99.01	0.08	99.01	-4.1	-0.01	4	-0.2	-26.5	null	null	null	null	null	0	-6,239	0.008	0.98	8,661	0.988	0.01	-10,652	0.016	0.97	13,398	0.98	0.01	-8,571	0.014	0.97	12,726	0.981	-0.31	-102,544	-0.145	0.58	220	0.726	-0.24	7,589	-0.072	0.71	7,590	0.861	0.447	0	0	720	0.27	8	0	0.333	stable	0.27	1.87	8	8	24	95	0.848	0.854	0.854	0	0.333	119,524	124,212	124,100	1	5	stable	-0.1	null	29.82
BAAV64WH	OCEAN2000	Food and Drink	Restaurants	Restaurant	Restaurant, Brunch restaurant, Fine dining restaurant, Seafood restaurant	2000 N Ocean Blvd, Fort Lauderdale, FL 33305	2000 N Ocean Blvd	Fort Lauderdale	Florida	Barrier Island	Central Beach Alliance	33,305	US	true	26.153949	-80.100527	America/New_York	(954) 55-***	2	null	true	Fort Lauderdale	Florida	US	https	https://pelicanbeach.com/ocean2000	pelicanbeach.com/ocean2000	pelicanbeach.com	com	10,926	1996-05-02	2026-05-03	GoDaddy.com, LLC	"purchase_dataset@pelicanbeach.com, purchase_dataset@pelicanbeach.com, purchase_dataset@pelicanbeach(...TRUNCATED)	realdomain	6	6	0	"Ocean views from the veranda & menu of American dishes with Latin flair are highlights at this spot(...TRUNCATED)	4.17	1,135	{"1": 94, "2": 62, "3": 97, "4": 186, "5": 701}	Outdoor seating, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great wine list, (...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet, Romantic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Brunch reservations recommended, Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	6	https://www.instagram.com/pelicanbeach	pelicanbeach	https://www.facebook.com/pelicanbeach	pelicanbeach	https://twitter.com/pelicangrand	pelicangrand	https://www.tiktok.com/@resortsofpelicanbeach	resortsofpelicanbeach	https://www.linkedin.com/company/pelican-grand-beach-resort	pelican-grand-beach-resort	https://www.youtube.com/user/pbrmarketing	pbrmarketing	null	null	null	null	null	null	19,734	0.13	null	0.12	0.13	0.13	1,654	null	null	null	null	21	40	242	3.22	2.65	3.16	4.5	3.22	https://places.singleplatform.com/ocean2000/menu	https://resy.com/cities/fort-lauderdale-fl/venues/ocean2000	https://resy.com/cities/fort-lauderdale-fl/venues/ocean2000	2026-03-22T12:57:02.524142+00:00	10.8	2.27	7,125.15	73	51.9547	0.79	83.4	100	77.6	0.488	1	0.5255	0.5397	0.509	0.9535	0.8967	0.8303	76.3	75.4	100	0	76	24	0	78.57	19.05	2.38	74.19	19.35	6.45	improving	stable	0.4745	0.9	0.0165	1.2	5	25	42	93	81.8	52.8	100	100	73.7	90	71	1,190	92	4,464	54,857	5,534	33,477	868,094	41,629	35,952	71	5,602	3	82,450	41,692	101	97,198	97,073	101	150,554	290	998	1,803	48,299	85,635	724,238	1,424,284	724,238	0.8265	0.2707	0.6536	0.7293	-0.172	0.9408	0.75	0.5911	0.25	-0.1095	0.9083	0.2175	0.6701	0.7825	-0.1885	100	2	100	5,602	50,041	82,450	0.9918	0.9259	0.8875	0.8631	0.9535	80	4.46	680	84.6	0.6888	-1.4	-0.29	446	-7.2	-0.2047	41,692	64,704	97,198	0.94	0.9047	0.8696	0.887	0.8967	80.4	4.5	1,092	87.2	0.6924	-1.8	-0.33	34	-9.8	-0.2083	97,073	121,580	150,554	0.8576	Market Leader	0.8155	0.7962	0.7883	0.8303	Market Leader	80.4	4.49	1,178	87.1	Market Leader	0.7032	-1.8	-0.32	-52	-9.7	-0.2191	3	101	101	258	110	concentrated	0.4531	0.64	0	0	50	50	3,178	1,287	competitive	0.0102	1.27	0	0	43	57	6,980	5,041	competitive	0.0095	0.32	0	47	53	0.2086	0.6399	0.7914	-0.1583	100	101	220	816	122	0.813	0.3092	0.8964	0.3572	0.4221	80.6	4.52	1,262	87.5	0.6957	-2	-0.35	-136	-10.1	-0.2116	competitive	0.0088	1.06	48	52	0.6869	0.8	4.41	0.0563	0.9059	0.9437	-0.4243	100	101	8,628	36,652	5,610	0.8432	0.3396	0.8991	0.381	0.4209	85.9	4.86	2,611	96.8	0.8512	-7.3	-0.69	-1,485	-19.4	-0.3671	competitive	0.0043	0.0005	1	0.04	0.7089	0.2094	0.3682	0.7906	0.1134	828,388	62.9	3.88	394	76.6	0.4737	15.7	0.29	732	0.0104	0.8883	0.3661	0.9502	0.4146	0.4449	90,334	0.7502	0.8	519,613	40,825	24.3	58.7	7.7	9.2	828,389	880	64.1	4.26	469	78.2	0.4916	14.5	-0.09	657	-0.0075	0.802	0.2594	0.9204	0.3151	0.3948	173	56.5	10.8	0.4539	880	5.47	1,828	1,944	0.6903	6,902.88	0.05	215,382	116	0.0121	121.23	2,053.17	3,333.33	1.04	99.01	0.9	99.01	0.78	99.01	0.18	99.01	-6.3	0	13	0	-42.7	null	null	null	null	null	0.07	-48,707	0.067	0.94	5,601	0.992	0.01	-17,297	0.022	0.91	41,685	0.94	0.03	-50,199	0.065	0.83	97,057	0.858	-0.06	-193,291	0.054	0.69	220	0.813	-0.24	8,627	-0.09	0.71	8,628	0.843	0.4841	100	0	1,126	0.33	10	0.689	0.754	stable	0.33	2.33	10	10	32	108	0.892	0.896	0.896	0.689	0.754	87,059	90,435	90,390	68	1,828	stable	-0.04	null	67.3
MM8SQ76Y	Tap Room at the Hollander Hotel	Food and Drink	Restaurants	Restaurant	"Restaurant, American restaurant, Bar, Breakfast restaurant, Coffee shop, Event venue, Historical la(...TRUNCATED)	421 4th Ave N, St. Petersburg, FL 33701	421 4th Ave N	St. Petersburg	Florida	Downtown	Downtown	33,701	US	true	27.776581	-82.639084	America/New_York	(727) 87-***	0	null	true	St. Petersburg	Florida	US	http	http://hollanderhotel.com	hollanderhotel.com	hollanderhotel.com	com	4,955	2012-09-06	2029-09-21	GoDaddy.com, LLC	purchase_dataset@hollanderhotel.com, purchase_dataset@hollanderhotel.com	realdomain	2	2	0	Bar bites, wraps & American mains are served with craft beer & cocktails at this hotel hangout.	4.6	1,339	{"1": 39, "2": 20, "3": 52, "4": 231, "5": 1059}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Fireplace, Great beer selection, Great cocktails, Great dessert, Great wine list, Liv(...TRUNCATED)	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, Qu(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Historic, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/hollanderhotel	hollanderhotel	https://www.facebook.com/hollanderhotel	hollanderhotel	https://twitter.com/askaconcierge	askaconcierge	https://www.tiktok.com/@hollanderhotel	hollanderhotel	https://www.linkedin.com/company/hollanderhospitality	hollanderhospitality	null	null	null	null	null	null	null	null	13,944	0.29	null	0.25	0.29	0.29	3,940	null	null	null	null	74	183	563	2.13	6.11	1.97	1.73	2.13	null	null	null	2026-03-22T01:04:18.210364+00:00	5.4	5.26	5,105.79	60.3	137.2283	1.12	92	100	91.8	0.5034	1	0.7903	0.6683	0.6447	0.9121	0.6173	0.4332	89.5	82.2	100	0	90.91	4.55	4.55	85.48	3.23	11.29	85.81	2.03	12.16	improving	improving	0.2097	7.3	0.1456	8.9	4	22	62	148	84.1	55.9	80	100	73.6	90	43	610	47	1,915	27,576	2,381	12,588	397,115	15,555	13,000	43	33,910	101	29,287	250,162	101	133,206	326,972	101	169,687	134	744	1,681	48,299	85,635	724,238	1,424,284	724,238	0.5806	0.2371	0.5932	0.7629	0.1125	0.9471	0.2725	0.6023	0.7275	0.1034	0.7224	0.275	0.5634	0.725	0.1423	100	100	100	33,910	50,041	29,287	0.9531	0.9259	0.9602	0.9111	0.9121	75.5	4.46	887	86	0.6471	5.2	0.14	440	5.9	-0.1506	250,162	205,383	133,206	0.6583	0.7089	0.8214	0.6762	0.6173	75.9	4.36	1,004	83.3	0.6047	4.8	0.24	323	8.6	-0.1082	326,972	408,207	169,687	0.5502	Market Leader	0.4314	0.7705	0.4221	0.4332	Strong	77.5	4.31	1,143	82.3	Average	0.6104	3.2	0.29	184	9.6	-0.1139	101	101	101	691	75	competitive	0.0147	31.83	0	2	77	21	2,755	1,005	competitive	0.013	1.27	0	0	78	22	8,254	5,062	competitive	0.0115	0.32	0	71	29	0.22	0.6329	0.78	0.0728	100	101	80	307	49	0.9126	0.6527	0.9469	0.823	0.4403	79	4.47	1,295	86.2	0.6665	1.7	0.13	32	5.7	-0.17	competitive	0.0101	0.29	59	41	0.8449	1.13	3.06	0.0563	0.9036	0.9437	-0.1979	100	101	5,099	17,866	2,420	0.9064	0.6731	0.9567	0.787	0.4395	85.8	4.86	2,632	96.8	0.847	-5.1	-0.26	-1,305	-4.9	-0.3505	competitive	0.005	0.0005	1	0.04	0.8515	0.2094	0.3682	0.7906	0.3375	828,388	62.9	3.88	394	76.6	0.4737	17.8	0.72	933	0.0228	0.9374	0.7132	0.9832	0.8245	0.4582	50,230	0.8839	15.3	230,839	13,877	24.3	58.7	7.7	9.2	828,389	677	63.1	4.32	505	78.8	0.494	17.6	0.28	822	0.0025	0.9068	0.6154	0.9586	0.8062	0.4157	63	55.23	-19.37	0.3402	677	3.87	2,583	736	0.5013	5,012.54	0.05	215,382	116	0.0122	122.21	2.17	99.01	1.7	99.01	1.32	99.01	1.03	99.01	0.25	99.01	-8.4	-0.01	19	-0.1	-42.4	null	null	null	null	null	-0.01	6,860	-0.01	0.95	33,909	0.953	-0.04	58,354	-0.08	0.72	250,158	0.658	-0.02	35,232	-0.048	0.58	326,968	0.55	0.14	-244,782	0.212	0.84	80	0.913	-0.1	5,098	-0.027	0.85	5,099	0.906	0.4965	100	0	1,327	0.53	16	0.859	0.854	stable	0.53	3.73	16	16	53	166	0.949	0.951	0.951	0.859	0.854	43,437	45,127	45,124	17	1,103	stable	0.26	null	35.86
KA4A4Y5R	Mikado Sushi & Grill	Food and Drink	Restaurants	Sushi restaurant	"Sushi restaurant, Asian fusion restaurant, Asian restaurant, Bar & grill, Japanese restaurant, Seaf(...TRUNCATED)	6417 Raleigh St, Orlando, FL 32835	6417 Raleigh St	Orlando	Florida	Southwest Orlando	Metro West	32,835	US	true	28.52723	-81.470923	America/New_York	(407) 82-***	2	null	true	Orlando	Florida	US	http	http://mikadosushigrill.com	mikadosushigrill.com	mikadosushigrill.com	com	3,094	2017-10-11	2026-10-11	GoDaddy.com, LLC	purchase_dataset@mikadosushigrill.com	realdomain	1	1	0	Traditional & contemporary Japanese dishes, including sushi, served in a smart setting with a bar.	4.46	1,123	{"1": 83, "2": 23, "3": 33, "4": 135, "5": 872}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Happy hour food, Healthy options, Late-night food, Organic dishes, Quick (...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/mikado.nyc	mikado.nyc	https://www.facebook.com/mikadosushimetrowest	mikadosushimetrowest	https://twitter.com/plmikado	plmikado	https://www.tiktok.com/@mikado.nyc	mikado.nyc	https://www.linkedin.com/company/mikado-sushi	mikado-sushi	null	null	null	null	null	null	null	null	14,881	0.2	null	0.35	0.2	0.2	313	null	null	null	null	33	17	460	2.8	null	3.23	3.16	2.8	https://pos.chowbus.com/online-ordering/store/13808	https://mikadosushigrill.com/reservations	https://mikadosushigrill.com/reservations	2026-03-21T13:03:34.840224+00:00	4.84	1.12	8,248.62	53.2	101.5075	1.34	89.2	100	87.4	0.7303	1	0.8667	0.8169	0.7777	0.0132	0.4369	0.8926	93.3	88.9	100	0	93.33	6.67	0	88.37	6.98	4.65	88.04	9.78	2.17	improving	improving	0.1333	4.4	0.089	4.9	3	15	43	92	82.3	35.1	80	100	91.3	88	432	2,223	562	4,860	37,567	6,057	37,277	560,913	46,476	40,077	432	714,605	10	81,398	307,393	101	117,262	49,616	101	412	194	3,000	5,400	48,299	85,635	724,238	1,424,284	724,238	0.949	0.076	0.7025	0.924	0.1308	0.2847	0	-0.0041	1	0.8374	0.6582	0.2767	0.5391	0.7233	0.2942	100	9	100	714,605	722,865	81,398	0.0305	0.0196	0.8889	0.0453	0.0132	51.8	2.93	682	64.6	0.1432	27.5	1.53	429	22.9	0.5864	307,393	303,644	117,262	0.5825	0.5747	0.8428	0.549	0.4369	74.8	4.29	1,041	81.5	0.5579	4.5	0.17	70	6	0.1717	49,616	48,672	412	0.9266	Below Average	0.9285	0.9994	0.9275	0.8926	Strong	81.2	4.58	2,482	89.6	Market Leader	0.7205	-1.9	-0.12	-1,371	-2.1	0.0091	10	101	101	306	18	moderate	0.1533	2.86	22.2	55.6	22.2	0	3,096	1,069	competitive	0.0106	1.27	0	0	84	16	7,856	5,095	competitive	0.0045	0.32	0	34	66	0.0974	0.7805	0.9026	0.0528	100	101	385	1,550	641	0.8866	0.5497	0.816	0.6541	0.775	82.3	4.67	2,468	91.7	0.7581	-3	-0.21	-1,357	-4.2	-0.0285	competitive	0.0045	0.32	23	77	0.7644	1.35	2.68	0.0563	0.8995	0.9437	-0.0662	100	101	7,107	24,480	9,283	0.8702	0.5548	0.8329	0.6526	0.7398	85.7	4.86	2,660	96.8	0.8469	-6.4	-0.4	-1,549	-9.3	-0.1173	competitive	0.0042	0.0005	1	0.04	0.7644	0.2094	0.3682	0.7906	0.4651	828,388	62.9	3.88	394	76.6	0.4737	16.4	0.58	717	0.2559	0.9059	0.5965	0.943	0.6929	0.7677	75,950	0.8242	10.9	327,240	46,819	24.3	58.7	7.7	9.2	828,389	2,525	63	4.24	582	78	0.4717	16.3	0.22	529	0.2579	0.8768	0.5218	0.8423	0.6315	0.7615	306	55.52	30.95	0.7833	2,525	3.25	3,076	995	0.8024	8,023.95	0.05	215,382	116	0.0124	123.5	234.89	1,000	1.12	99.01	0.2	99.01	0.2	99.01	0.17	99.01	-8.1	0	10	0	-59.9	null	null	null	null	null	-0.02	31,188	-0.039	0.28	714,604	0.031	-0.02	46,128	-0.062	0.66	307,391	0.583	-0.01	12,978	-0.02	0.95	49,613	0.927	-0.18	-58,798	-0.034	0.76	385	0.887	-0.19	7,106	-0.063	0.76	7,107	0.87	0.7296	100	0	1,111	0.1	3	0.261	0.266	decelerating	0.1	0.7	3	3	19	99	0.557	0.57	0.571	0.261	0.266	331,227	345,950	344,596	31	341	decelerating	-0.23	null	86.47
EYQYDLFF	Seito Sushi Baldwin Park	Food and Drink	Restaurants	Sushi restaurant	Sushi restaurant	4898 New Broad St #32814, Orlando, FL 32814	4898 New Broad St #32814	Orlando	Florida	Baldwin Park	Baldwin Park	32,814	US	true	28.567912	-81.326454	America/New_York	(407) 89-***	2	null	true	Orlando	Florida	US	http	http://seitosushibp.com	seitosushibp.com	seitosushibp.com	com	2,203	2020-03-20	2027-03-20	NAMECHEAP INC	purchase_dataset@seitosushi.com	null	1	1	0	Lively, sleek outfit serving classic & creative sushi, plus hot Japanese dishes & cocktails.	4.55	1,176	{"1": 48, "2": 37, "3": 72, "4": 217, "5": 1093}	Outdoor seating, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great tea selection, Great wine list, Serves l(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Happy hour food, Hard liquor, Healthy options,(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	College students, Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/seitobp	seitobp	https://www.facebook.com/seitosushi	seitosushi	null	null	https://www.tiktok.com/@seitosushibp	seitosushibp	null	null	https://www.youtube.com/c/toosushi	toosushi	null	null	null	null	null	null	10,161	0.72	null	0.83	0.72	0.72	1,364	null	null	null	null	3	0	0	null	null	null	null	null	https://seitosushibp.com/menu	https://opentable.com/restaurant/profile/94798	https://opentable.com/restaurant/profile/94798	2026-03-21T05:29:37.381871+00:00	3.3	4.1	8,103.27	66.5	101.5075	1.34	91	100	88.7	0.7735	1	0.851	0.769	0.7838	0.7015	0.9007	0.8659	92.5	89.2	100	0	93.75	6.25	0	88.68	9.43	1.89	90.09	9.01	0.9	improving	improving	0.149	3.3	0.0672	3.7	2	16	53	111	83.6	53.5	60	100	91.3	88	353	1,822	460	3,357	31,079	4,181	23,145	453,833	28,981	24,673	353	228,288	16	263,992	77,104	101	56,252	166,484	101	142,160	160	3,000	5,400	48,299	85,635	724,238	1,424,284	724,238	0.8096	0.2638	0.6806	0.7362	0.1704	0.6067	0.2667	0.5621	0.7333	0.2889	0.9054	0.2179	0.6931	0.7821	0.1579	100	15	100	228,288	381,574	263,992	0.6836	0.4707	0.6402	0.6016	0.7015	67.4	3.98	493	79.2	0.5461	13.4	0.57	671	9.5	0.2266	77,104	64,704	56,252	0.8915	0.9047	0.9246	0.8957	0.9007	79.5	4.5	1,248	87.4	0.6942	1.3	0.05	-84	1.3	0.0785	166,484	86,009	142,160	0.765	Average	0.8713	0.8075	0.8522	0.8659	Market Leader	79.6	4.52	1,193	87.9	Market Leader	0.7121	1.2	0.03	-29	0.8	0.0606	16	101	101	84	15	competitive	0.1359	4.77	6.7	6.7	73.3	13.3	3,625	1,565	competitive	0.0092	1.27	0	0	57	43	6,673	5,037	competitive	0.0097	0.32	0	58	42	0.0874	0.7817	0.9126	0.0693	100	101	269	1,311	536	0.9225	0.618	0.8462	0.6914	0.8292	82.3	4.67	2,475	91.7	0.7579	-1.5	-0.12	-1,311	-3	0.0148	competitive	0.0047	0.32	24	76	0.8082	1.35	2.68	0.0663	0.9033	0.9337	-0.0523	100	101	4,900	20,077	4,555	0.909	0.6338	0.9181	0.6916	0.803	85.8	4.86	2,620	96.8	0.8453	-5	-0.31	-1,456	-8.1	-0.0726	competitive	0.0044	0.0005	1	0.04	0.8292	0.2094	0.3682	0.7906	0.4828	828,388	62.9	3.88	394	76.6	0.4737	17.9	0.67	770	0.299	0.9394	0.6749	0.9652	0.7322	0.8299	48,574	0.8678	12.1	262,933	28,526	24.3	58.7	7.7	9.2	828,389	2,525	63	4.24	582	78	0.4717	17.8	0.31	582	0.301	0.916	0.5963	0.8764	0.6712	0.8193	211	55.52	32.74	0.834	2,525	3.25	3,076	995	0.8045	8,045.34	0.05	215,382	116	0.0122	121.62	184.69	625	0.85	99.01	0.93	99.01	0.22	99.01	0.2	99.01	-7.3	0.01	23	0.3	-43.1	null	null	null	null	null	-0.01	24	0	0.61	228,287	0.684	0	6,883	-0.011	0.91	77,102	0.892	-0.01	48,155	-0.067	0.81	166,482	0.765	-0.13	-58,914	0.002	0.81	269	0.923	-0.12	4,899	-0.025	0.83	4,900	0.909	0.7727	100	0	1,164	0.37	11	0.804	0.711	stable	0.37	2.57	11	11	36	125	0.908	0.911	0.911	0.804	0.711	75,655	78,604	78,576	10	145	stable	0.04	null	88.26
K3YJM74B	Romano's Macaroni Grill	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Bar, Restaurant, Wine bar	Orlando Air Traffic Control Tower, 1 Jeff Fuqua Blvd, Orlando, FL 32827	Orlando Air Traffic Control Tower, 1 Jeff Fuqua Blvd	Orlando	Florida	Southeast Orlando	Orlando International Airport	32,827	US	true	28.431093	-81.308638	America/New_York	(407) 82-***	2	null	true	Orlando	Florida	US	https	https://macaronigrill.com/locations/location?id=2236	macaronigrill.com/locations/location?id=2236	macaronigrill.com	com	10,982	1996-03-07	2027-03-08	GoDaddy.com, LLC	purchase_dataset@macgrill.com, purchase_dataset@macgrill.com, purchase_dataset@donlinrecano.com	null	3	2	1	Lively Italian chain with an open kitchen, known for small plates, pizzas, pastas & wine.	3.08	340	{"1": 117, "2": 30, "3": 27, "4": 41, "5": 123}	Curbside pickup, Onsite services, Takeout, Dine-in	Fast service, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Late-night food, Small plates, Vegan o(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Checks, Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/macaronigrill	macaronigrill	https://www.facebook.com/romanosmacaronigrill	romanosmacaronigrill	https://twitter.com/macaronigrill	macaronigrill	https://www.tiktok.com/@macaroniigrill	macaroniigrill	null	null	null	null	null	null	null	null	https://www.pinterest.com/macaronigrill	macaronigrill	17,476	0.03	null	0.03	0.03	0.03	2,428	null	null	null	null	18	6	265	6.59	null	null	6.59	6.59	null	https://opentable.com/restaurant/profile/1412146	https://opentable.com/restaurant/profile/1412146	2026-03-20T23:29:24.114850+00:00	5.68	1.49	8,256.32	53.4	101.5075	1.35	61.6	84.4	48.8	0.0328	0	-0.7632	-0.0265	-0.2872	0.0025	0.316	0.6648	11.8	35.6	0	100	0	85.71	14.29	45	50	5	33.33	64.58	2.08	improving	declining	0.7632	-23.8	-0.476	-66.9	1	7	20	48	61	36.8	92	100	25.6	88	1,381	4,741	2,119	23,161	77,763	34,633	300,701	1,282,434	460,166	322,860	1,381	718,113	47	468,263	500,822	101	199,106	225,191	101	65,777	342	3,000	5,400	48,299	85,635	724,238	1,424,284	724,238	0.7853	0.3285	0.6607	-0.3285	-1.2543	0.1247	-0.0027	-0.0695	0.0027	-0.5241	0.517	0.1738	0.5039	-0.1738	-1.0975	100	46	100	718,113	724,158	468,263	0.0259	0.0178	0.3632	0.0034	0.0025	51.1	2.89	355	47.5	-0.0208	7.9	0.19	-17	1.3	0.0527	500,822	318,282	199,106	0.3266	0.555	0.7329	0.5346	0.316	69.6	4.28	889	81.3	0.5238	-10.6	-1.2	-551	-32.5	-0.4919	225,191	136,818	65,777	0.6852	Emerging	0.7933	0.911	0.7462	0.6648	Average	78.9	4.48	1,392	86.6	Strong	0.6683	-19.9	-1.4	-1,054	-37.8	-0.6364	47	101	101	561	46	competitive	0.0203	14.64	28.3	41.3	30.4	0	3,802	1,756	competitive	0.0038	1.27	0	21	66	13	8,072	5,002	competitive	0.0024	0.32	0	62	38	0.0974	0.7879	-0.0974	-1.3815	100	101	2,317	3,254	1,538	0.3327	0.0643	0.5586	0.0563	0.157	82.3	4.67	2,382	91.7	0.7583	-23.3	-1.59	-2,044	-42.9	-0.7264	competitive	0.0014	0.32	24	76	0.3199	1.35	2.68	0.0563	0.9026	-0.0563	-1.4962	100	101	40,875	53,279	27,934	0.2686	0.0484	0.501	0.0465	0.1362	85.8	4.86	2,620	96.8	0.8508	-26.8	-1.78	-2,282	-48	-0.8189	competitive	0.0013	0.0005	1	0.04	0.2722	0.2094	0.3682	-0.2094	-0.9618	828,388	62.9	3.88	394	76.6	0.4737	-3.9	-0.8	-56	-0.4418	0.313	0.0459	0.5839	0.046	0.1549	567,286	0.3141	-27.8	789,717	344,155	24.3	58.7	7.7	9.2	828,389	2,525	63	4.24	582	78	0.4717	-4	-1.16	-244	-0.4398	0.33	0.0582	0.5396	0.0491	0.1513	1,685	55.52	2.14	0.4128	2,525	3.25	3,076	995	0.7746	7,745.87	0.05	215,382	116	0.0122	121.64	4.12	212.77	0.14	99.01	0.06	99.01	0.02	99.01	0.02	99.01	-9.3	-0.01	5	-0.4	-21.8	null	null	null	null	null	-0.01	35,706	-0.045	0.12	718,112	0.026	-0.01	21,383	-0.028	0.52	500,820	0.327	-0.02	53,643	-0.074	0.79	225,177	0.685	-0.62	-56,866	-0.587	0.32	2,317	0.333	-0.68	40,874	-0.665	0.27	40,875	0.269	0.0319	0	0	338	0.13	4	0.23	0.233	decelerating	0.13	0.93	4	4	18	55	0.648	0.66	0.66	0.23	0.233	264,626	275,746	274,862	46	938	decelerating	0	null	57.66
HHUX6YP2	Serena	Food and Drink	Restaurants	Mexican restaurant	"Mexican restaurant, Bar, Brunch restaurant, Cocktail bar, Event venue, Latin American restaurant, L(...TRUNCATED)	915 Washington Ave, Miami Beach, FL 33139	915 Washington Ave	Miami Beach	Florida	Flamingo / Lummus	Flamingo Lummus	33,139	US	true	25.779764	-80.132862	America/New_York	(305) 30-***	4	null	true	Miami Beach	Florida	US	https	https://serenamiami.com	serenamiami.com	serenamiami.com	com	2,039	2020-08-31	2028-08-31	GoDaddy.com, LLC	purchase_dataset@moxysouthbeach.com	null	1	1	0	"Mexican fare & cocktails served alfresco at this sophisticated rooftop lounge that has beach views.(...TRUNCATED)	4.12	997	{"1": 128, "2": 46, "3": 62, "4": 96, "5": 640}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great wine list, Live music, Rooftop seating	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Happy hour food, Hard liquor, Late-night food,(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	5	https://www.instagram.com/serenarooftop	serenarooftop	https://www.facebook.com/p/serena-rooftop-100071527234018	serena-rooftop-100071527234018	https://twitter.com/serenasantosxxx	serenasantosxxx	https://www.tiktok.com/@serenamia	serenamia	https://www.linkedin.com/in/serenaowens-swe	serenaowens-swe	null	null	null	null	null	null	null	null	25,282	0.01	null	0.01	0.01	0.01	983	null	null	null	null	18	1	7	0.53	null	null	null	0.53	https://places.singleplatform.com/serena-rooftop/menu	https://sevenrooms.com/reservations/serena	https://sevenrooms.com/reservations/serena	2026-03-20T20:13:29.681224+00:00	30.5	0.2	20,393.31	199.6	48.0266	0.36	82.4	100	76.2	0.3799	1	0.8479	0.5487	0.4594	0.9896	0.8629	0.9365	92.4	73	100	0	96	4	0	81.67	8.33	10	72.26	12.9	14.84	improving	improving	0.1521	19.4	0.3885	26.6	2	25	60	155	75.8	32.8	68	100	79.1	86	244	819	311	10,756	57,143	14,292	98,892	910,283	136,996	107,495	244	657	101	6,463	68,167	101	54,386	14,068	101	35,972	301	692	1,068	48,299	85,635	724,238	1,424,284	724,238	0.9689	0.2167	0.763	0.7833	0.0101	0.9933	0.1503	0.7244	0.8497	0.0487	0.9042	0.204	0.6118	0.796	0.1613	100	100	100	657	8,315	6,463	0.999	0.9878	0.9912	0.9859	0.9896	81.9	4.67	1,312	91.7	0.7918	-5.8	-0.55	-315	-15.5	-0.4138	68,167	78,695	54,386	0.903	0.8831	0.927	0.8523	0.8629	79.7	4.48	1,259	86.4	0.6791	-3.6	-0.36	-262	-10.2	-0.3011	14,068	18,340	35,972	0.9792	Market Leader	0.9729	0.9512	0.9703	0.9365	Market Leader	82.5	4.7	1,542	92.6	Market Leader	0.7429	-6.4	-0.58	-545	-16.4	-0.3649	101	101	101	490	16	competitive	0.0075	31.83	0	0	25	75	1,770	1,017	competitive	0.0079	1.27	0	0	47	53	7,176	5,323	competitive	0.0064	0.32	0	23	77	0.0978	0.7646	0.9022	0.0085	100	101	306	639	290	0.6261	0.2132	0.648	0.2363	0.2339	83.1	4.69	1,681	92	0.7859	-7	-0.57	-684	-15.8	-0.4079	competitive	0.0059	2.54	15	85	0.5088	0.36	10.03	0.0563	0.9035	0.9437	-0.1304	100	101	13,148	38,235	12,660	0.762	0.3129	0.7737	0.358	0.3226	85.9	4.86	2,617	96.8	0.8512	-9.8	-0.74	-1,620	-20.6	-0.4732	competitive	0.0038	0.0005	1	0.04	0.6308	0.2094	0.3682	0.7906	0.4049	828,388	62.9	3.88	394	76.6	0.4737	13.2	0.24	603	-0.0957	0.8189	0.3362	0.8622	0.3911	0.3416	147,593	0.6871	-0.4	545,439	113,940	24.3	58.7	7.7	9.2	828,389	653	69.2	4.39	710	82.9	0.5722	6.9	-0.27	287	-0.1942	0.6166	0.2101	0.6334	0.2239	0.2239	249	64.22	-16.01	0.2454	653	12.06	829	2,103	2.0286	20,285.8	0.05	215,382	116	0.0121	121.5	0.57	99.01	0.62	99.01	0.41	99.01	0.35	99.01	0.14	99.01	-6.8	0	18	0.1	-53.3	null	null	null	null	null	0	-5,456	0.008	0.99	626	0.999	0	-6,909	0.007	0.9	68,091	0.903	0	-3,665	0.008	0.97	13,830	0.979	-0.38	-102,458	-0.244	0.51	306	0.626	-0.32	13,147	-0.172	0.63	13,148	0.762	0.378	100	0	983	0.07	2	0.34	0.383	decelerating	0.07	0.47	2	2	42	163	0.439	0.452	0.454	0.34	0.383	417,455	437,538	435,431	97	4,395	decelerating	-0.5	null	48.21
VZRN5G98	Bungalow Beach Bar & Grill	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant, Bar & grill, Cocktail bar, Oyster bar restaurant, Wine bar	3925 Collins Ave, Miami Beach, FL 33140	3925 Collins Ave	Miami Beach	Florida	Mid-Beach	Oceanfront	33,140	US	true	25.812014	-80.122809	America/New_York	(305) 53-***	2	null	true	Miami Beach	Florida	US	https	https://cadillachotelmiamibeach.com/bungalow-by-the-sea	cadillachotelmiamibeach.com/bungalow-by-the-sea	cadillachotelmiamibeach.com	com	4,626	2013-08-01	2026-08-01	GoDaddy.com, LLC	"purchase_dataset@cadillachotelmiamibeach.com, purchase_dataset@cadillachotelmiamibeach.com, purchas(...TRUNCATED)	realdomain	9	9	0	Cadillac Hotel & Beach Club’s al fresco beachside eatery with pizza & cocktails, plus a raw bar.	4.28	468	{"1": 35, "2": 17, "3": 31, "4": 75, "5": 304}	Outdoor seating, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Live music, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	purchase_dataset@	true	true	4	https://www.instagram.com/cadillachotelmiamibeach	cadillachotelmiamibeach	https://www.facebook.com/cadillachotelmiamibeach	cadillachotelmiamibeach	null	null	https://www.tiktok.com/@cadillachotelmiamibeach	cadillachotelmiamibeach	null	null	https://www.youtube.com/user/hotelcadillac	hotelcadillac	null	null	null	null	null	null	17,535	0.13	null	0.13	0.13	0.13	728	null	null	null	null	26	22	293	0.7	null	null	0.7	0.7	https://cadillachotelmiamibeach.com/bungalow-by-the-sea#menus	https://opentable.com/restaurant/profile/1298410	https://opentable.com/restaurant/profile/1298410	2026-03-20T18:22:26.172161+00:00	21.15	0.4	20,427.8	249.4	48.0266	0.36	85.6	89	81.8	0.6075	1	0.894	0.8217	0.7177	0.4774	0.9873	0.9328	94.7	85.9	100	0	100	0	0	88.46	3.85	7.69	83.67	10.2	6.12	improving	improving	0.106	8.8	0.1763	10.2	3	7	26	49	79.1	46.8	60	100	89.9	86	362	723	488	19,686	49,339	28,715	243,977	766,937	362,692	262,197	362	204,021	66	74,077	678	101	25,091	18,130	101	63,951	258	692	1,068	48,299	85,635	724,238	1,424,284	724,238	0.9545	0.2267	0.7444	-0.2267	0.1073	0.7599	0.2077	0.2983	-0.2077	0.5534	0.9832	0.1078	0.7504	-0.1078	0.1013	100	65	100	204,021	230,473	74,077	0.717	0.6778	0.899	0.6129	0.4774	67.9	4.17	697	79.4	0.4781	11.7	0.11	-229	2.4	0.1258	678	12,634	25,091	0.9969	0.9818	0.9663	0.9782	0.9873	83	4.68	1,531	91.8	0.7857	-3.4	-0.4	-1,063	-10	-0.1818	18,130	20,133	63,951	0.9733	Strong	0.9704	0.9134	0.9653	0.9328	Market Leader	82.2	4.69	1,399	92.1	Market Leader	0.7404	-2.6	-0.41	-931	-10.3	-0.1365	66	101	101	568	25	competitive	0.0102	20.69	1.5	20	64.6	13.8	3,464	1,573	competitive	0.003	1.27	0	0	15	85	7,993	5,165	competitive	0.0033	0.32	0	26	74	0.0978	0.7646	-0.0978	0.0871	100	101	202	558	437	0.7515	0.313	0.4689	0.3642	0.475	83.1	4.69	1,681	92	0.7859	-3.5	-0.41	-1,213	-10.2	-0.182	competitive	0.0028	2.54	15	85	0.5352	0.36	10.03	0.0563	0.9035	-0.0563	-0.0518	100	101	6,956	32,619	23,679	0.8732	0.4118	0.5771	0.4817	0.558	85.9	4.86	2,621	96.8	0.8511	-6.3	-0.58	-2,153	-15	-0.2472	competitive	0.0018	0.0005	1	0.04	0.646	0.2094	0.3682	-0.2094	0.4835	828,388	62.9	3.88	394	76.6	0.4737	16.7	0.4	74	0.1302	0.9132	0.4441	0.6631	0.5196	0.5859	69,897	0.6975	5.2	454,381	278,631	24.3	58.7	7.7	9.2	828,389	653	69.2	4.39	710	82.9	0.5722	10.4	-0.11	-242	0.0317	0.7423	0.296	0.4555	0.3451	0.4586	167	64.22	14.55	0.5	653	12.06	829	2,103	2.0286	20,285.8	0.05	215,382	116	0.0122	121.7	1.05	151.52	0.09	99.01	0.11	99.01	0.08	99.01	0.03	99.01	0.4	0.01	11	0.4	-19.4	null	null	null	null	null	-0.04	63,822	-0.088	0.76	204,020	0.717	0.01	-14,625	0.019	0.98	668	0.997	0.01	-7,985	0.01	0.95	18,112	0.973	-0.35	-102,562	-0.119	0.54	202	0.752	-0.3	6,955	-0.06	0.65	6,956	0.873	0.6039	null	null	461	0.13	4	0.2	0.292	stable	0.13	0.93	4	4	12	55	0.648	0.66	0.66	0.2	0.292	264,626	275,746	274,862	13	785	stable	0.03	null	78.77
VKRC85QD	The Osprey	Food and Drink	Restaurants	Restaurant	Restaurant, Brunch restaurant, Cocktail bar, Event venue, Oyster bar restaurant	4899 New Broad St, Orlando, FL 32814	4899 New Broad St	Orlando	Florida	Baldwin Park	Baldwin Park	32,814	US	true	28.568056	-81.326667	America/New_York	(407) 96-***	4	null	true	Orlando	Florida	US	https	https://theospreyorlando.com	theospreyorlando.com	theospreyorlando.com	com	2,137	2020-05-25	2026-05-25	NameCheap, Inc.	purchase_dataset@theospreyorlando.com, purchase_dataset@theospreyorlando.com	realdomain	2	2	0	Lively American spot with an open kitchen & central bar, offering a creative take on the classics.	4.56	1,175	{"1": 27, "2": 32, "3": 78, "4": 224, "5": 986}	Outdoor seating, Onsite services, 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, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, 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, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	3	https://www.instagram.com/theospreyorlando	theospreyorlando	https://www.facebook.com/p/the-osprey-100049891884468	the-osprey-100049891884468	null	null	https://www.tiktok.com/@theospreyorlando	theospreyorlando	null	null	null	null	null	null	null	null	null	null	11,058	0.24	null	null	0.21	0.24	1,769	null	null	null	null	3	0	0	null	null	null	null	null	https://theospreyorlando.com/menu	https://opentable.com/r/the-osprey-orlando	https://opentable.com/r/the-osprey-orlando	2026-03-19T05:06:03.279096+00:00	3.59	6.34	8,043.21	88.6	101.5075	1.34	91.2	100	89	0.8018	1	0.8689	0.8487	0.8387	0.6969	0.9007	0.8659	93.4	91.9	100	0	90.48	4.76	4.76	90	6.67	3.33	90.54	4.73	4.73	improving	stable	0.1311	1.5	0.0302	1.6	1	21	60	148	82.2	56.3	40	100	93.1	84	354	1,777	462	3,378	30,320	4,206	23,325	441,858	29,197	24,880	354	238,418	16	263,992	77,104	101	56,252	166,484	101	142,160	154	3,000	5,400	48,299	85,635	724,238	1,424,284	724,238	0.8096	0.2638	0.6806	0.7362	0.1665	0.6011	0.2667	0.5623	0.7333	0.2848	0.9054	0.2179	0.6931	0.7821	0.154	100	15	100	238,418	381,574	263,992	0.6697	0.4707	0.6402	0.6016	0.6969	67.2	3.98	493	79.2	0.5445	15.6	0.58	682	9.8	0.2536	77,104	64,704	56,252	0.8915	0.9047	0.9246	0.8957	0.9007	79.5	4.5	1,248	87.4	0.6942	3.3	0.06	-73	1.6	0.1039	166,484	86,009	142,160	0.765	Average	0.8713	0.8075	0.8522	0.8659	Market Leader	79.6	4.52	1,193	87.9	Market Leader	0.7121	3.2	0.04	-18	1.1	0.086	16	101	101	87	23	competitive	0.1372	4.77	6.7	6.7	73.3	13.3	3,612	1,579	competitive	0.0093	1.27	0	0	57	43	6,665	5,016	competitive	0.0097	0.32	0	58	42	0.0974	0.7805	0.9026	0.0666	100	101	142	1,283	496	0.9581	0.6243	0.8579	0.7006	0.8519	82.3	4.67	2,468	91.7	0.7581	0.5	-0.11	-1,293	-2.7	0.04	competitive	0.0047	0.32	23	77	0.8279	1.35	2.68	0.0563	0.9022	0.9437	-0.0551	100	101	2,541	19,623	3,827	0.9533	0.6418	0.9312	0.7014	0.8369	85.7	4.86	2,604	96.8	0.8436	-2.9	-0.3	-1,429	-7.8	-0.0455	competitive	0.0045	0.0005	1	0.04	0.8532	0.2094	0.3682	0.7906	0.4789	828,388	62.9	3.88	394	76.6	0.4737	19.9	0.68	781	0.3244	0.9719	0.6826	0.9685	0.7427	0.8623	22,275	0.8841	12.4	256,154	25,863	24.3	58.7	7.7	9.2	828,389	2,525	63	4.24	582	78	0.4717	19.8	0.32	593	0.3264	0.9556	0.603	0.8827	0.6819	0.8467	110	55.52	36.1	0.9025	2,525	3.25	3,076	995	0.8024	8,023.95	0.05	215,382	116	0.0121	120.92	188.2	625	0.87	99.01	0.95	99.01	0.22	99.01	0.2	99.01	-4.7	0.01	41	0.1	-40	null	null	null	null	null	-0.02	10,154	-0.014	0.6	238,417	0.67	0	6,883	-0.011	0.91	77,103	0.892	-0.02	48,155	-0.067	0.81	166,482	0.765	-0.12	-59,041	0.038	0.83	142	0.958	-0.1	2,540	0.02	0.85	2,541	0.953	0.7981	100	0	1,160	0.57	17	0.856	0.865	stable	0.57	3.97	17	17	46	174	0.954	0.956	0.956	0.856	0.865	39,738	41,255	41,258	72	1,026	stable	0.27	null	91.62
4SCLNY6Q	Union Public House	Food and Drink	Restaurants	Gastropub	Gastropub, Restaurant	36 E Garden St, Pensacola, FL 32502	36 E Garden St	Pensacola	Florida	Downtown	Downtown	32,502	US	true	30.413413	-87.214233	America/Chicago	(850) 60-***	3	null	true	Pensacola	Florida	US	http	http://unionpensacola.com	unionpensacola.com	unionpensacola.com	com	3,449	2016-10-21	2026-10-21	Squarespace Domains LLC	purchase_dataset@unionpensacola.com	realdomain	1	1	0	Cool, modern-rustic locale with a long bar for inventive Southern plates & unique craft cocktails.	4.56	1,081	{"1": 43, "2": 38, "3": 51, "4": 165, "5": 1027}	Outdoor seating, 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, Food, Food at bar, Happy hour drinks, Happy hour fo(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	College students, Groups, LGBTQ+ friendly, Tourists	Brunch reservations recommended, Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	5	https://www.instagram.com/uph_pensacola	uph_pensacola	https://www.facebook.com/unionpensacola	unionpensacola	https://twitter.com/uphpensacola	uphpensacola	https://www.tiktok.com/@uphpensacola	uphpensacola	https://www.linkedin.com/in/ashleymariekent	ashleymariekent	null	null	null	null	null	null	null	null	10,786	0.41	null	0.43	0.43	0.41	2,603	null	null	null	null	30	3	89	2.95	null	null	2.69	2.95	https://unionpensacola.com/union-public-house-menus/main-menu.asp	https://opentable.com/restaurant/profile/212407	https://opentable.com/restaurant/profile/212407	2026-03-07T23:59:07.104322+00:00	19.86	0.2	19,453.25	292.9	198.0392	0.24	91.2	100	88.9	0.7765	1	0.8031	0.8338	0.768	0.9451	0.6551	0.2967	90.2	88.4	100	0	87.5	6.25	6.25	91.18	5.88	2.94	86.99	9.76	3.25	improving	stable	0.1969	1.8	0.0351	2	1	16	34	123	80.4	39.5	80	83	90.3	62	54	173	63	6,777	30,370	8,620	53,996	442,268	69,373	58,505	54	40,877	65	139,275	497,686	74	504,793	426,722	101	322,978	155	364	537	48,299	85,635	724,238	1,424,284	724,238	0.4089	0.3896	0.5408	0.6104	0.2623	0.9091	0.3333	0.6636	0.6667	0.1395	0.4138	0.3282	0.5514	0.6718	0.2517	100	64	73	40,877	24,991	139,275	0.9433	0.9627	0.8099	0.9502	0.9451	74.6	4.54	600	87.8	0.6774	6.5	0.02	481	1.1	0.0991	497,686	273,647	504,793	0.3307	0.6141	0.3244	0.6351	0.6551	69.7	4.31	538	82.7	0.6147	11.4	0.25	543	6.2	0.1618	426,722	553,480	322,978	0.4181	Market Leader	0.2422	0.5633	0.2184	0.2967	Average	75.7	4.18	932	78.6	Average	0.5648	5.4	0.38	149	10.3	0.2117	65	74	101	515	33	competitive	0.0274	20.37	0	6.3	73.4	20.3	2,870	1,013	competitive	0.0268	0.93	4.1	13.7	60.3	21.9	7,788	5,273	competitive	0.0115	0.32	1	76	23	0.3353	0.5962	0.6647	0.2069	100	101	37	103	62	0.9003	0.7143	0.8356	0.7412	0.7628	78.3	4.35	1,031	82.9	0.6441	2.8	0.21	50	6	0.1324	competitive	0.0104	0.94	61	39	0.8251	0.24	14.42	0.0563	0.9051	0.9437	-0.102	100	101	4,637	19,623	9,118	0.9151	0.6418	0.8364	0.6971	0.8013	85.9	4.86	2,627	96.8	0.8504	-4.8	-0.3	-1,546	-7.9	-0.0739	competitive	0.0041	0.0005	1	0.04	0.8095	0.2094	0.3682	0.7906	0.4349	828,388	62.9	3.88	394	76.6	0.4737	18.2	0.68	687	0.3028	0.9451	0.6826	0.9251	0.7378	0.8349	43,924	0.8603	12.3	256,154	61,557	24.3	58.7	7.7	9.2	828,389	18	74.1	4.49	414	86.9	0.7217	7	0.07	667	0.0548	0.8824	0.5882	0.9412	0.5882	0.5882	2	84.06	6.53	0.5294	18	18.41	543	510	1.8985	18,985.31	0.05	215,382	116	0.0122	121.95	7.49	153.85	7.19	135.14	1.32	99.01	1.08	99.01	0.17	99.01	-6.7	0	3	0	-54.3	null	null	null	null	null	0.26	-162,296	0.225	0.91	40,877	0.943	0.25	-142,594	0.191	0.41	497,686	0.331	0.01	-10,636	0.013	0.41	426,722	0.418	0.27	-358,408	0.342	0.83	37	0.9	-0.15	4,636	-0.019	0.81	4,637	0.915	0.7765	100	0	1,081	0.2	6	0	0.388	decelerating	0.2	1.4	6	6	25	136	0.774	0.782	0.782	0	0.388	173,580	180,528	180,244	1	30	decelerating	-0.3	null	90.59

Restaurant TikTok Renegades in Florida, US

Free sample dataset from BeamStation

--Social Platform Gap--

This dataset captures Restaurant TikTok Renegades operating in Florida, US. It contains 346 records that are refreshed on a weekly basis, offering a timely view of establishments with strong Instagram followings exceeding 10k but minimal to no activity on TikTok. Each record includes location details within Florida, category tags for the restaurant sector, and signals that highlight the gap between Instagram popularity and TikTok presence. Social media agencies, content creators, and marketing analysts can use this information to identify opportunities for cross‑platform growth, design targeted TikTok campaigns, or benchmark competitors who are under‑leveraging the short‑form video channel. The dataset is accessible via the provided URL for direct download or integration into analytics workflows.

https://beamstation.com/datasets/232022/

Dataset Details

Field	Value
Full dataset	346 records
Sample size	10 records
Location	Florida
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/restaurant-tiktok-renegades-in-florida-us-232022")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 346 records and unmasked contact data is available at:

Restaurant TikTok Renegades in Florida, US on BeamStation

License

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

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