Datasets:

beamstation
/

restaurant-verified-email-access-in-miami-florida-us-126246

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 float64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place string	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 float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin 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	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category 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_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_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_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_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_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_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 float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
GJLJG3LQ	Marabu Restaurant	Food and Drink	Restaurants	Restaurant	"Restaurant, Bar & grill, Catering food and drink supplier, Cocktail bar, Family restaurant, Seafood(...TRUNCATED)	701 S Miami Ave Fl 4, Miami, FL 33131	701 S Miami Ave Fl 4	Miami	Florida	Downtown Miami	Brickell	33,131	US	true	25.766885	-80.193901	America/New_York	(786) 59-***	2	null	true	true	null	true	Miami	Florida	US	https	https://maraburestaurant.com	maraburestaurant.com	maraburestaurant.com	com	2,877	2018-05-22	2026-05-22	GoDaddy.com, LLC	"purchase_dataset@vehospitality.com, purchase_dataset@vehospitality.com, purchase_dataset@maraburest(...TRUNCATED)	realdomain	4	4	0	null	true	false	4.74	1,129	{"1": 131, "2": 87, "3": 118, "4": 560, "5": 9537}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Live music, Serve(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Lively, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2025-11-07	2026-02-03	151	63	24	151	151	63	63	https://www.instagram.com/maraburestaurant	maraburestaurant	https://www.facebook.com/maraburestaurant	maraburestaurant	null	null	null	null	https://www.linkedin.com/company/marabu-restaurant	marabu-restaurant	null	null	null	null	null	null	null	null	12,964	2.13	null	5.2	2.13	2.13	430	null	null	null	null	null	null	null	null	https://maraburestaurant.com/menus	https://maraburestaurant.com/reservations	https://maraburestaurant.com/reservations	2026-04-07T23:04:45.293682+00:00	2.93	0.83	0	10,470.34	39.6	33.1691	2.05	94.8	100	93.4	0.4715	null	0.4696	0.4803	0.4623	0.9728	0.971	0.9893	73.5	73.1	null	null	null	78.95	7.24	13.82	81.99	5.59	12.42	81.42	5.66	12.92	stable	stable	null	0.4	0.0073	0.5	152	322	565	-5.6	7.6	-100	71.8	27.4	64	67	62.5	44	228	1,265	285	4,432	18,860	5,521	34,080	262,020	42,430	36,521	228	29,137	101	5,480	129,407	101	6,957	166,512	101	693	128	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.7706	0.2539	0.7216	-0.2539	-0.252	0.828	0.3303	0.612	-0.3303	-0.1424	0.7757	0.192	0.5312	-0.192	-0.0616	100	100	100	29,137	378,295	5,480	0.9597	0.4878	0.9927	0.2018	0.9728	51.8	0.71	2,467	8.2	0.736	7.5	3.98	7,827	1.9	-0.2645	129,407	379,843	6,957	0.8256	0.494	0.9908	0.3681	0.971	52.2	0.81	3,464	10.7	0.7734	7.1	3.88	6,830	-0.6	-0.3019	166,512	343,627	693	0.7742	Market Leader	0.5374	0.999	0.1972	0.9893	Strong	53.2	0.92	5,808	7.5	Strong	0.8468	6.1	3.77	4,486	2.6	-0.3753	101	101	101	499	21	competitive	0.0401	31.83	5	86	9	3,140	1,004	competitive	0.0289	1.27	2	84	14	6,885	5,044	competitive	0.0174	0.32	2	88	9	1	0.2795	0.6793	-0.2795	-0.2097	100	101	155	310	23	0.948	0.8977	0.9927	0.6587	0.43	53	0.71	4,534	7.6	0.8375	6.3	3.98	5,760	2.5	-0.366	competitive	0.0222	0.69	1	92	7	0.9463	2.1	1.2	0.3495	0.8091	-0.3495	-0.3395	100	101	6,415	4,482	300	0.8867	0.9213	0.9948	0.6107	0.4031	56.6	1.43	10,127	8.6	0.8995	2.7	3.26	167	1.5	-0.428	competitive	0.0101	0.0005	1.12	0.03	0.9295	0.059	0.2307	-0.059	0.2389	791,801	41.1	0.94	531	20.4	0.4595	18.2	3.75	9,763	0.012	0.905	0.9005	0.9992	0.577	0.4482	74,354	0.9319	-10.3	78,667	665	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	31.6	0.46	771	0.4277	0.9907	0.4562	0.9104	0.9805	0.8934	23	50.65	43.77	0.9163	2,366	2.26	4,422	3,045	1.0252	10,251.97	0.05	215,382	116	0.047	470.17	16.05	99.01	8.33	99.01	3.03	99.01	4.93	99.01	1.01	99.01	-27.7	-0.05	9,165	-83.3	-57.6	null	null	null	null	null	-0.15	20,882	-0.029	0.83	29,136	0.96	-0.17	84,737	-0.111	0.78	129,406	0.826	-0.21	156,147	-0.21	0.77	166,508	0.774	0.09	97	-0.032	0.95	155	0.948	0.05	5,646	-0.099	0.93	6,415	0.887	0.4715	null	null	1,129	0.03	1	0.507	0.424	decelerating	0.03	0.23	1	1	157	571	0.507	0.515	0.517	0.507	0.424	253,363	266,224	265,236	176	2,999	decelerating	-1.1	null	36.76
73C5VGRN	Vjcuisine, LLC	Food and Drink	Restaurants	Delivery Restaurant	Delivery Restaurant, Service establishment	null	null	Miami	Florida	null	Flagami	null	US	true	25.782414	-80.225393	America/New_York	(305) 81-***	0	OPERATIONAL	false	false	null	true	Miami	Florida	US	http	http://vjcuisine.com	vjcuisine.com	vjcuisine.com	com	3,316	2017-03-09	2027-03-09	Network Solutions, LLC	purchase_dataset@vjcuisine.com	realdomain	1	1	0	null	true	false	5	56	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 60}	Delivery	null	null	null	null	null	null	null	null	null	null	null	false	true	purchase_dataset@	true	true	4	2022-09-16	2026-02-10	1,299	56	69	1,299	1,299	56	56	https://www.instagram.com/vjcuisinemeals	vjcuisinemeals	https://www.facebook.com/vjcuisinemeals	vjcuisinemeals	null	null	https://www.tiktok.com/@vjcuisinemeals	vjcuisinemeals	https://www.linkedin.com/in/virginia-jiha-aa417162	virginia-jiha-aa417162	null	null	null	null	null	null	null	null	2,222	3.3	null	3.76	1.5	1.5	1,505	70	56	575	1.99	null	0.84	1.89	1.7	null	null	null	2026-04-07T21:38:57.100914+00:00	0.5	0	0.4	10,835.08	29.8	33.1691	2.1	100	58.5	100	0.9048	null	0.41	0.41	0.41	0.4064	0.9898	0.9848	70.5	70.5	null	null	null	100	0	0	100	0	0	100	0	0	stable	stable	null	0	0	0	9	9	9	100	300	-100	70.8	9.5	84	67	74.5	44	1,477	39	2,463	34,764	338	58,826	516,078	2,809	920,144	554,714	1,477	639,811	53	496,348	120,551	101	1,517	157,007	101	1,405	2	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.7737	0.2517	0.6938	-0.2517	-0.2838	0.3217	0.0926	0.2051	-0.0926	0.2049	0.7689	0.2661	0.6653	-0.2661	-0.2553	100	52	100	639,811	331,525	496,348	0.1401	0.5513	0.3344	0.685	0.4064	35.4	0.82	386	21.5	0.4587	6	-0.02	-327	-6.2	0.4461	120,551	413,847	1,517	0.8374	0.4486	0.998	0.2038	0.9898	52.5	0.73	4,139	7.5	0.8257	-11.1	0.07	-4,080	7.8	0.0791	157,007	347,653	1,405	0.7869	Below Average	0.5317	0.9981	0.2153	0.9848	Strong	53.5	0.91	5,471	7.8	Strong	0.8366	-12.1	-0.11	-5,412	7.5	0.0682	53	101	101	584	0	competitive	0.0029	16.55	61.5	34.6	3.8	3,683	1,301	competitive	0.0001	1.27	1	90	9	8,224	5,008	competitive	0.0001	0.32	2	87	10	1	0.2766	0.677	-0.2766	-0.267	100	101	1,251	998	2,102	0.5846	0.67	0.3032	0.6925	0.91	53	0.75	4,639	7.6	0.8321	-11.6	0.05	-4,580	7.7	0.0727	competitive	0.0001	0.69	1	92	7	0.5258	2.1	1.2	0.3407	0.8068	-0.3407	-0.3968	100	101	28,595	22,413	44,545	0.4959	0.6067	0.2182	0.6336	0.9289	56.8	1.48	10,012	8.9	0.9001	-15.4	-0.68	-9,953	6.4	0.0047	competitive	0.0001	0.0005	1.12	0.03	0.4458	0.059	0.2307	-0.059	0.1793	791,801	41.1	0.94	531	20.4	0.4595	0.3	-0.14	-472	0.4453	0.5067	0.5897	0.3016	0.5982	0.9631	388,320	0.4701	-5.1	324,462	551,743	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	12.5	0.71	-302	0.0187	0.6753	0.578	0.4211	0.6503	0.4782	763	50.65	-33.67	0.2863	2,366	2.26	4,422	3,045	1.0489	10,488.94	0.05	215,382	116	0.0465	464.87	0.09	188.68	0	99.01	0	99.01	0	99.01	0	99.01	-38.5	-4.2	3	-84.7	-59	null	null	null	null	null	0.09	-13,467	0.028	0.32	639,810	0.14	-0.21	108,254	-0.145	0.77	120,543	0.837	-0.2	141,748	-0.191	0.77	156,996	0.787	-0.18	876	-0.289	0.53	1,251	0.585	-0.24	19,964	-0.347	0.45	28,595	0.496	0.9048	null	null	56	0	0	0	0	decelerating	0.17	1.17	5	5	19	57	0.719	0.729	0.729	1	0.955	213,014	221,732	221,154	1	11	decelerating	-0.2	null	83.93
PCRV9ZVY	Sabia Nutrition	Food and Drink	Restaurants	Delivery Restaurant	Delivery Restaurant	4259 W Flagler St, Coral Gables, FL 33134	4259 W Flagler St	Miami	Florida	Flagami	Alameda - West Flagler	33,134	US	true	25.771834	-80.264931	America/New_York	(305) 56-***	0	null	true	false	null	true	Miami	Florida	US	https	https://sabianutrition.com	sabianutrition.com	sabianutrition.com	com	958	2023-08-23	2029-08-23	HOSTINGER operations, UAB	purchase_dataset@mysabia.com, purchase_dataset@sabianutrition.com	realdomain	2	2	0	null	true	false	4.97	78	{"1": 0, "2": 0, "3": 0, "4": 2, "5": 78}	No-contact delivery, Delivery, Takeout	null	null	Wheelchair accessible entrance, Wheelchair accessible parking lot	null	null	null	null	null	null	Credit cards, Debit cards, NFC mobile payments	null	false	true	purchase_dataset@	true	true	4	2024-08-26	2026-02-12	589	54	69	589	589	54	54	https://www.instagram.com/mysabialife	mysabialife	https://www.facebook.com/sabiameals	sabiameals	null	null	https://www.tiktok.com/@liahmara	liahmara	https://www.linkedin.com/company/sabianutrition	sabianutrition	null	null	null	null	null	null	null	null	237	5.89	null	8.97	7.52	5.89	74	3,394	1,383	14,300	7.2	null	null	null	6.61	null	null	null	2026-04-07T20:24:43.978367+00:00	0.77	0	0.2	11,222.11	29.8	33.1691	2.1	99.4	63.3	100	0.6149	null	0.3452	0.3452	0.4945	0.4986	0.9626	0.9873	67.3	74.7	null	null	null	100	0	0	100	0	0	100	0	0	stable	declining	null	-7.4	-0.1493	-9.9	1	1	15	100	-73.3	-100	72.8	9.5	84	83	56.7	100	1,389	619	2,278	33,371	8,148	55,301	491,015	119,023	851,310	527,235	1,389	450,697	50	50,853	199,619	101	8,534	134,748	101	4,373	8	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.7847	0.3293	0.716	-0.3293	-0.3708	0.589	0.104	0.2242	-0.104	0.121	0.6987	0.1786	0.5692	-0.1786	-0.224	100	49	100	450,697	360,588	50,853	0.3899	0.5115	0.9318	0.5443	0.4986	40.1	0.75	1,192	16.7	0.4856	20.9	3.15	-1,114	61.5	0.1293	199,619	474,835	8,534	0.7302	0.3667	0.9887	0.1635	0.9626	50.5	0.61	3,332	6.8	0.7605	10.5	3.29	-3,254	71.4	-0.1456	134,748	347,653	4,373	0.8173	Average	0.5317	0.9942	0.3152	0.9873	Strong	54.3	0.91	4,143	9.7	Strong	0.8424	6.7	2.99	-4,065	68.5	-0.2275	50	101	101	539	0	competitive	0.0013	15.6	53.1	38.8	8.2	3,170	1,057	competitive	0.0002	1.27	4	88	8	7,461	5,311	competitive	0.0002	0.32	0	85	13	2	0.2766	0.6759	-0.2766	-0.3307	100	101	135	409	1,984	0.955	0.8646	0.3426	0.9695	0.5631	53	0.75	4,630	7.6	0.8336	8	3.15	-4,552	70.6	-0.2187	competitive	0.0002	0.69	1	92	7	0.7442	2.1	1.2	0.3412	0.7994	-0.3412	-0.4542	100	101	5,282	7,086	41,113	0.9065	0.8749	0.2789	0.9787	0.558	56.4	1.42	9,971	8.6	0.8998	4.6	2.48	-9,893	69.6	-0.2849	competitive	0.0001	0.0005	1.12	0.03	0.7087	0.059	0.2307	-0.059	0.1145	791,801	41.1	0.94	531	20.4	0.4595	19.9	2.96	-453	0.1554	0.9224	0.8668	0.3311	0.9838	0.6124	60,647	0.7283	57.8	105,049	528,547	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	22.6	0.69	-280	0.4678	0.9218	0.5742	0.4588	0.9543	0.9239	185	50.65	39.09	0.8512	2,366	2.26	4,422	3,045	1.0468	10,468.39	0.05	215,382	116	0.0463	462.95	0.02	200	0	99.01	0	99.01	0	99.01	0	99.01	-22	-1.07	0	-21.8	-42.9	null	null	null	null	null	0.15	8,191	-0.003	0.59	450,695	0.39	-0.23	138,328	-0.183	0.7	199,614	0.73	-0.19	121,679	-0.164	0.78	134,738	0.817	0	-61	0.021	0.74	135	0.955	-0.01	1,420	-0.022	0.71	5,282	0.907	0.6149	null	null	78	0	0	0	0	decelerating	0.03	0.23	1	1	1	34	0.242	0.25	0.252	0.563	0.677	655,507	693,414	690,487	3	41	accelerating	0.03	-0.04	32.05
PFTZCHSZ	El Rey Comidas Venezolanas	Food and Drink	Restaurants	Venezuelan restaurant	"Venezuelan restaurant, Delivery service, Family restaurant, Fast food restaurant, Hamburger restaur(...TRUNCATED)	4599 NW 7th Ave, Miami, FL 33127	4599 NW 7th Ave	Miami	Florida	Liberty City	Liberty City	33,127	US	true	25.817269	-80.207421	America/New_York	(786) 64-***	2	null	true	true	null	true	Miami	Florida	US	https	https://elreydelacomidasvenezolana.restaurant	elreydelacomidasvenezolana.restaurant	elreydelacomidasvenezolana.restaurant	restaurant	null	null	null	null	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.98	57	{"1": 0, "2": 0, "3": 0, "4": 1, "5": 63}	Curbside pickup, No-contact delivery, Delivery, Takeout, Dine-in	Sports	Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Organic dishes, Quick bite, Small plates, Vegetarian options	Dinner, Catering, Counter service, Dessert, Seating	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Checks, Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	false	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/elreyfoodtruckmiami	elreyfoodtruckmiami	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	2026-04-07T20:23:34.127687+00:00	0	0	3	10,468.39	119.2	33.1691	2.1	99.6	58.8	100	0.6048	null	0.3582	0.3524	0.3543	0.5874	0.9759	0.9934	67.9	67.7	null	null	null	100	0	0	100	0	0	100	0	0	stable	stable	null	0.2	0.0039	0.3	5	6	8	66.7	150	-100	65.2	9.5	8	83	59.1	100	1,476	601	2,458	34,687	7,890	58,645	514,883	116,421	916,794	553,395	1,476	634,321	58	696,461	117,775	101	17,805	139,895	101	366	7	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.7896	0.3044	0.7697	-0.3044	-0.4115	0.287	0.0288	0.2423	-0.0288	0.1159	0.7759	0.2334	0.568	-0.2334	-0.2098	100	57	100	634,321	226,562	696,461	0.1475	0.6925	0.0674	0.8414	0.5874	35.6	1.12	153	28.5	0.5115	11.4	1.95	-92	28.9	0.0933	117,775	383,966	17,805	0.8411	0.4884	0.9765	0.3808	0.9759	52.6	0.8	2,733	11	0.788	-5.6	2.27	-2,672	46.4	-0.1832	139,895	332,680	366	0.8101	Below Average	0.5524	0.9995	0.1911	0.9934	Strong	54.1	0.95	5,949	7.4	Strong	0.8553	-7.1	2.12	-5,888	50	-0.2505	58	101	101	651	0	competitive	0.007	18.14	61.4	35.1	3.5	3,056	1,504	competitive	0.0002	1.27	3	84	13	7,822	5,126	competitive	0.0001	0.32	0	87	12	1	0.2766	0.6759	-0.2766	-0.3177	100	101	779	542	2,051	0.7398	0.8193	0.3201	0.9232	0.5488	53	0.75	4,630	7.6	0.8336	-6	2.32	-4,569	49.8	-0.2288	competitive	0.0001	0.69	1	92	7	0.6377	2.1	1.2	0.3507	0.8057	-0.3507	-0.4475	100	101	19,337	11,979	44,318	0.6582	0.7889	0.2214	0.8917	0.5448	56.6	1.44	10,011	8.6	0.9005	-9.6	1.63	-9,950	48.8	-0.2957	competitive	0.0001	0.0005	1.12	0.03	0.5664	0.059	0.2307	-0.059	0.1275	791,801	41.1	0.94	531	20.4	0.4595	5.9	2.13	-470	0.1453	0.6774	0.7983	0.3048	0.9188	0.5993	253,119	0.6019	37	158,884	549,141	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	18.9	0.71	-301	0.4431	0.8423	0.578	0.4241	0.9082	0.907	367	50.65	30.83	0.7218	2,366	2.26	4,422	3,045	1.0468	10,468.39	0.05	215,382	116	0.0465	464.81	0.48	172.41	0	99.01	0	99.01	0	99.01	0	99.01	-28.4	-1.91	4	-42.6	-52.3	null	null	null	null	null	0.12	-37,379	0.06	0.29	634,319	0.148	-0.17	75,642	-0.099	0.78	117,764	0.841	-0.2	138,652	-0.186	0.79	139,876	0.81	-0.03	98	-0.031	0.64	779	0.74	-0.06	2,805	-0.043	0.57	19,337	0.658	0.6048	null	null	57	0	0	0	0	decelerating	0.13	0.93	4	4	9	18	0.648	0.66	0.66	0.44	0.491	264,626	275,746	274,862	13	123	accelerating	0	null	38.6
XPF5JBY5	Red Rooster Overtown	Food and Drink	Restaurants	American restaurant	American restaurant	920 NW 2nd Ave, Miami, FL 33136	920 NW 2nd Ave	Miami	Florida	Overtown	Overtown	33,136	US	true	25.783105	-80.198222	America/New_York	(305) 64-***	2	OPERATIONAL	true	true	null	true	Miami	Florida	US	https	https://redroosterovertown.com	redroosterovertown.com	redroosterovertown.com	com	2,953	2018-03-07	2027-03-07	GoDaddy.com, LLC	"purchase_dataset@alchemy-agency.com, purchase_dataset@redroosterovertown.com, purchase_dataset@redr(...TRUNCATED)	realdomain	3	3	0	"Artful restaurant offering Southern comfort food with a twist, plus craft cocktails, and happy hour(...TRUNCATED)	true	true	4.54	3,931	{"1": 176, "2": 118, "3": 211, "4": 405, "5": 3160}	Outdoor seating, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Live music, Se(...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, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy, Upscale	Groups, Tourists	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	High chairs	true	true	purchase_dataset@	true	true	2	2025-07-18	2026-02-04	263	62	24	263	263	62	62	https://www.instagram.com/roosterovertown	roosterovertown	https://www.facebook.com/roosterovertown	roosterovertown	null	null	null	null	null	null	null	null	null	null	null	null	null	null	38,642	0.69	null	0.04	0.08	0.69	924	null	null	null	null	null	null	null	null	https://redroosterovertown.com/menus	https://redroosterovertown.com/reservations	https://redroosterovertown.com/reservations	2026-04-07T18:03:27.430382+00:00	8.74	0	0.4	10,532.61	59.7	33.1691	2.08	90.8	100	87.6	0.7704	null	0.2019	0.4168	0.3814	0.8529	0.9833	0.9891	60.1	69.1	null	null	null	57.69	38.46	3.85	69.23	25.64	5.13	67.5	27.5	5	stable	declining	null	-9	-0.1795	-13	26	39	40	33.3	160	-100	72.5	9.5	44	100	69	100	6	1,842	7	155	31,758	198	552	465,143	706	574	6	265,136	101	249,569	117,775	101	2,156	160,164	101	880	250	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.7706	0.2538	0.7229	-0.2538	-0.4914	0.6325	0.1227	0.2698	-0.1227	-0.0383	0.7702	0.2792	0.6465	-0.2792	-0.415	100	100	100	265,136	301,524	249,569	0.6388	0.5916	0.6651	0.5245	0.8529	43.6	0.9	650	16.1	0.6153	-6.3	-0.85	3,405	-15.2	0.1551	117,775	413,847	2,156	0.8411	0.4486	0.9972	0.2558	0.9833	52.6	0.73	4,012	8.4	0.8066	-15.3	-0.68	43	-7.5	-0.0362	160,164	351,933	880	0.7827	Average	0.5262	0.9988	0.1847	0.9891	Strong	53.4	0.9	5,760	7.3	Strong	0.8464	-16.1	-0.85	-1,705	-6.4	-0.076	101	101	101	667	173	competitive	0.0588	31.83	40	49	11	2,342	1,057	competitive	0.01	1.27	1	90	9	7,001	5,244	competitive	0.007	0.32	2	87	10	1	0.2795	0.6764	-0.2795	-0.4449	100	101	1,552	2,069	116	0.4833	0.2979	0.9616	0.3439	0.7428	53.1	0.76	4,626	7.6	0.8332	-15.8	-0.71	-571	-6.7	-0.0628	competitive	0.0087	0.69	1	92	7	0.5712	2.1	1.2	0.3463	0.8127	-0.3463	-0.5812	100	101	34,808	44,130	9,727	0.3873	0.2134	0.8293	0.2746	0.7793	56.8	1.49	10,025	8.8	0.8974	-19.5	-1.44	-5,970	-7.9	-0.127	competitive	0.004	0.0005	1.12	0.03	0.4678	0.059	0.2307	-0.059	0.0008	791,801	41.1	0.94	531	20.4	0.4595	-3.8	-0.89	3,524	0.3109	0.3939	0.1805	0.9897	0.2061	0.8369	477,894	0.5086	-19.5	627,913	8,111	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	9.4	-0.33	3,573	0.3118	0.5996	0.1539	0.9987	0.2503	0.7911	942	50.65	37.21	0.8245	2,366	2.26	4,422	3,045	1.046	10,460.43	0.05	215,382	116	0.0465	465.45	34.53	99.01	1	99.01	0.49	99.01	0.76	99.01	0.16	99.01	-41.6	-4.49	124	-86.7	-50.7	null	null	null	null	null	-0.11	130,767	-0.175	0.63	265,135	0.639	-0.2	99,763	-0.134	0.77	117,768	0.841	-0.21	149,799	-0.202	0.77	160,144	0.783	-0.22	1,102	-0.365	0.57	1,552	0.483	-0.34	24,328	-0.422	0.47	34,808	0.387	0.7704	null	null	3,931	0	0	0	0	decelerating	0.33	2.33	10	10	62	235	0.892	0.896	0.896	0.783	0.684	87,059	90,435	90,390	9	438	decelerating	-0.7	null	89.7
MKVNYVR3	Soul Fresh Juice & Fruit Bar	Food and Drink	Restaurants	Health food restaurant	Health food restaurant, Juice shop	124 NE 2nd Ave, Miami, FL 33132	124 NE 2nd Ave	Miami	Florida	Downtown Miami	Downtown	33,132	US	true	25.775764	-80.190447	America/New_York	(786) 61-***	2	OPERATIONAL	true	true	null	true	Miami	Florida	US	https	https://soulfresh.miami	soulfresh.miami	soulfresh.miami	miami	1,254	2022-10-31	2026-10-31	Domain.com, LLC	null	null	0	0	0	null	true	false	4.53	472	{"1": 35, "2": 10, "3": 14, "4": 21, "5": 391}	Delivery, Onsite services, Takeout, Dine-in	null	Breakfast, Lunch, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible seating	"Coffee, Comfort food, Healthy options, Late-night food, Organic dishes, Quick bite, Salad bar, Smal(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating	Wi-Fi	Casual, Cozy, Quiet, Trendy	Family-friendly, LGBTQ+ friendly, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	6	2023-07-05	2026-02-03	1,007	63	89	1,007	1,007	63	63	https://www.instagram.com/soulfresh.miami	soulfresh.miami	https://www.facebook.com/soulfresh.miami	soulfresh.miami	https://twitter.com/djjaycee	djjaycee	https://www.tiktok.com/@soulfresh.miami	soulfresh.miami	https://www.linkedin.com/company/soulfreshmiami	soulfreshmiami	null	null	null	null	null	null	https://www.pinterest.com/soulfreshmiami	soulfreshmiami	4,511	0.61	null	0.8	0.64	0.61	559	88	96	1,543	7.26	null	null	null	null	https://order.incentivio.com/c/soulfresh	null	null	2026-04-07T14:22:05.585763+00:00	1.02	1.67	0.1	11,230.04	19.8	33.1691	2.1	90.6	89.2	87.5	0.6592	null	0.8219	0.6909	0.6594	0.9477	0.9838	0.9882	91.1	83	null	null	null	100	0	0	90.91	9.09	0	88.33	11.67	0	stable	improving	null	8.1	0.1625	9.8	11	22	60	0	-26.7	-100	81	32.8	100	83	84.3	100	743	1,881	1,106	19,524	32,747	28,374	241,748	479,654	357,939	259,284	743	70,398	101	7,417	104,487	101	3,784	166,512	101	679	260	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.7673	0.2458	0.7207	-0.2458	0.1012	0.8079	0.2546	0.4672	-0.2546	0.3547	0.7903	0.2683	0.6444	-0.2683	0.1775	100	100	100	70,398	369,442	7,417	0.9025	0.4997	0.9901	0.2808	0.9477	49.2	0.73	2,273	10	0.692	20	2.71	-1,803	56.2	-0.0328	104,487	379,843	3,784	0.859	0.494	0.995	0.3084	0.9838	53.1	0.81	3,809	9.4	0.8076	16.1	2.63	-3,339	56.8	-0.1484	166,512	351,933	679	0.7742	Market Leader	0.5262	0.9991	0.1784	0.9882	Strong	53.2	0.9	5,810	7.2	Strong	0.8443	16	2.54	-5,340	59	-0.1851	101	101	101	510	41	competitive	0.0021	31.83	10	81	9	2,479	1,025	competitive	0.0012	1.27	1	88	11	6,690	5,083	competitive	0.0008	0.32	2	88	9	1	0.2795	0.6756	-0.2795	0.1463	100	101	39	489	1,370	0.9874	0.8385	0.5458	0.9421	0.6144	53.1	0.75	4,630	7.6	0.8331	16.1	2.69	-4,160	58.6	-0.1739	competitive	0.001	0.69	1	92	7	0.8103	2.1	1.2	0.3456	0.8043	-0.3456	0.0176	100	101	1,415	9,793	30,283	0.9746	0.8275	0.4691	0.9355	0.6218	56.8	1.48	9,987	8.9	0.8962	12.4	1.96	-9,517	57.3	-0.237	competitive	0.0005	0.0005	1.12	0.03	0.7788	0.059	0.2307	-0.059	0.5912	791,801	41.1	0.94	531	20.4	0.4595	28.1	2.5	-61	0.1997	0.9827	0.8345	0.6691	0.9559	0.6735	13,364	0.8442	45.8	130,362	261,582	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	29.5	0.2	114	0.2852	0.9835	0.3302	0.7112	0.9197	0.767	39	50.65	38.19	0.8364	2,366	2.26	4,422	3,045	1.047	10,469.92	0.05	215,382	116	0.0464	463.71	0.04	99.01	0.02	99.01	0.01	99.01	0.01	99.01	0	99.01	-16.4	-1.09	-2	-21.3	-38.1	null	null	null	null	null	-0.15	46,592	-0.064	0.81	70,396	0.903	-0.18	85,444	-0.114	0.79	104,484	0.859	-0.21	156,147	-0.21	0.77	166,508	0.774	0.06	-61	0.021	0.81	39	0.987	0.03	-80	0.003	0.78	1,415	0.975	0.6592	null	null	472	0.07	2	0.692	0.551	decelerating	0.07	0.47	2	2	13	64	0.732	0.739	0.74	0.692	0.551	156,567	163,872	163,540	6	160	decelerating	-0.2	null	68.37
WMGBG8DF	786 Nutrition	Food and Drink	Restaurants	Health food restaurant	"Health food restaurant, Health consultant, Nutritionist, Sports nutrition store, Tea house, Weight (...TRUNCATED)	637 SW 12th Ave, Miami, FL 33130	637 SW 12th Ave	Miami	Florida	Little Havana	Little Havana	33,130	US	true	25.766981	-80.214355	America/New_York	(786) 34-***	2	CLOSED_TEMPORARILY	true	true	null	true	Miami	Florida	US	http	http://786nutrition.com	786nutrition.com	786nutrition.com	com	930	2023-09-20	2028-09-20	GoDaddy.com, LLC	null	null	0	0	0	null	true	false	4.96	451	{"1": 3, "2": 0, "3": 0, "4": 4, "5": 449}	Curbside pickup, Delivery, Takeout, Dine-in	Great coffee	Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Healthy options, Quick bite, Small plates	Breakfast, Lunch, Dinner, Counter service, Seating	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	College students, LGBTQ+ friendly	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	3	2025-12-27	2026-02-13	101	53	27	101	101	53	53	https://www.instagram.com/786nutrition	786nutrition	https://www.facebook.com/nutrition786	nutrition786	null	null	https://www.tiktok.com/@786nutrition01	786nutrition01	null	null	null	null	null	null	null	null	null	null	13,565	0.1	null	0.1	0.1	0.1	236	3,742	236	45,400	4.88	null	5.02	4.88	4.88	https://order786nutrition.com	null	null	2026-04-07T13:24:27.383682+00:00	3.07	0	0	10,952.75	39.8	33.1691	2.1	99.2	88.5	99.1	0.924	null	0.7296	0.7296	0.6776	0.4423	0.9889	0.9845	86.5	83.9	null	null	null	100	0	0	100	0	0	100	0	0	stable	improving	null	2.6	0.052	3.1	22	22	26	100	238.5	-100	79.2	9.5	76	83	88.9	100	753	631	1,128	20,006	8,310	29,209	249,891	121,158	371,658	267,945	753	516,169	101	64,190	120,551	101	1,039	154,005	101	2,377	11	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.7679	0.3154	0.6775	-0.3154	0.0521	0.5668	0.0271	0.2542	-0.0271	0.4754	0.7744	0.251	0.6456	-0.251	0.084	100	100	100	516,169	316,382	64,190	0.3029	0.5717	0.9139	0.5931	0.4423	38.8	0.86	1,112	18.2	0.4693	4.3	-0.45	-657	-10.1	0.4547	120,551	400,715	1,039	0.8374	0.4663	0.9986	0.186	0.9889	52.5	0.76	4,341	7.2	0.8219	-9.4	-0.35	-3,886	0.9	0.1021	154,005	364,939	2,377	0.7911	Average	0.5082	0.9968	0.2751	0.9845	Strong	53.6	0.87	4,922	8.9	Strong	0.8358	-10.5	-0.46	-4,467	-0.8	0.0882	101	101	101	607	15	competitive	0.0041	31.83	53	44	3	3,277	1,092	competitive	0.001	1.27	2	89	9	7,927	5,003	competitive	0.0009	0.32	2	87	10	1	0.2766	0.6711	-0.2766	0.0585	100	101	1,106	1,227	1,374	0.6316	0.5899	0.5452	0.6312	0.9262	53	0.75	4,618	7.6	0.8334	-9.9	-0.34	-4,163	0.5	0.0906	competitive	0.001	0.69	1	92	7	0.5931	2.1	1.2	0.3551	0.812	-0.3551	-0.0824	100	101	25,649	24,452	39,252	0.5477	0.5699	0.3114	0.5966	0.9429	56.6	1.43	10,300	8.5	0.8999	-13.5	-1.02	-9,845	-0.4	0.0241	competitive	0.0004	0.0005	1.12	0.03	0.4835	0.059	0.2307	-0.059	0.4989	791,801	41.1	0.94	531	20.4	0.4595	2	-0.53	-76	0.4645	0.558	0.5542	0.6614	0.5642	0.9713	347,577	0.5879	-12.3	351,896	267,663	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	19.5	0.68	93	0.3137	0.8575	0.5725	0.7074	0.5683	0.7941	333	50.65	21.1	0.5924	2,366	2.26	4,422	3,045	1.0443	10,443.13	0.05	215,382	116	0.0478	478.21	0.17	99.01	0.01	99.01	0.01	99.01	0.01	99.01	0	99.01	-39.8	-4.55	4	-91	-45	null	null	null	null	null	0.09	-6,165	0.017	0.57	516,168	0.303	-0.2	106,616	-0.143	0.77	120,544	0.837	-0.2	137,393	-0.185	0.77	153,991	0.791	-0.23	906	-0.301	0.59	1,106	0.632	-0.31	21,542	-0.377	0.48	25,649	0.548	0.924	null	null	451	0	0	0	0	decelerating	0.37	2.57	11	11	37	120	0.908	0.911	0.911	0.724	0.786	75,655	78,604	78,576	8	106	stable	-0.06	null	94.44
QXVXCDTM	Fabio’s Pizza & Caffe	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	4685 NW 7th St, Miami, FL 33126	4685 NW 7th St	Miami	Florida	Flagami	Flagami	33,126	US	true	25.779209	-80.271778	America/New_York	(786) 39-***	2	OPERATIONAL	true	true	null	true	Miami	Florida	US	http	http://fabiospizzacaffe.com	fabiospizzacaffe.com	fabiospizzacaffe.com	com	1,385	2022-06-22	2026-06-22	1API GmbH	null	null	0	0	0	null	true	false	4.18	600	{"1": 91, "2": 18, "3": 21, "4": 53, "5": 421}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Quick bite, Small plates	Lunch, Dinner, Catering, Counter service, Dessert	Restroom	Casual, Cozy, Quiet	Family-friendly, LGBTQ+ friendly, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	3	2022-07-08	2026-01-19	1,369	78	66	1,369	1,369	78	78	https://www.instagram.com/fabios.pizza.caffe	fabios.pizza.caffe	https://www.facebook.com/p/fabios-authentic-italian-cuisine-100057708127662	fabios-authentic-italian-cuisine-100057708127662	null	null	https://www.tiktok.com/@fabios.pizza.caffe	fabios.pizza.caffe	null	null	null	null	null	null	null	null	null	null	151	2.14	null	0.66	0.99	0.99	110	41	15	91	1.04	null	null	null	null	https://fabiospizzacaffe.com	null	null	2026-04-07T10:41:30.604918+00:00	0.03	1.67	0.5	10,703.7	39.7	33.1691	2.1	83.6	92.6	79.3	0.5818	null	0.6242	0.5092	0.3881	0.4557	0.9696	0.9895	81.2	69.4	null	null	null	83.33	16.67	0	75	25	0	68.29	31.71	0	stable	improving	null	11.8	0.2361	17	6	28	41	-57.1	-41.5	-100	74.4	32.8	64	83	79.3	100	642	2,846	940	16,887	54,622	23,876	196,767	862,058	283,431	210,793	642	471,340	33	38,856	171,304	101	17,632	132,075	101	2,457	443	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.7885	0.3144	0.7332	-0.3144	-0.109	0.5624	0.062	0.281	-0.062	0.3432	0.7293	0.1737	0.5723	-0.1737	0.0519	100	32	100	471,340	410,957	38,856	0.3624	0.4437	0.9479	0.3123	0.4557	39.7	0.64	1,300	10.7	0.4732	17.9	1.73	-703	33.4	0.1086	171,304	427,845	17,632	0.7685	0.4297	0.9767	0.2672	0.9696	51.1	0.7	2,744	8.6	0.7703	6.5	1.67	-2,147	35.5	-0.1885	132,075	343,627	2,457	0.8207	Average	0.5374	0.9967	0.3438	0.9895	Strong	54.4	0.92	4,889	10.3	Strong	0.8474	3.2	1.45	-4,292	33.8	-0.2656	33	101	101	648	19	competitive	0.0141	10.19	50	50	0	3,443	1,003	competitive	0.0022	1.27	4	86	10	7,633	5,086	competitive	0.0012	0.32	0	83	15	2	0.2766	0.6778	-0.2766	-0.0536	100	101	200	687	1,282	0.9341	0.7726	0.576	0.8189	0.531	53	0.76	4,634	7.6	0.8322	4.6	1.61	-4,037	36.5	-0.2504	competitive	0.0013	0.69	1	92	7	0.7782	2.1	1.2	0.3443	0.8118	-0.3443	-0.1876	100	101	7,963	17,060	32,714	0.8594	0.7003	0.4262	0.7669	0.5203	57.2	1.54	10,225	9	0.8971	0.4	0.83	-9,628	35.1	-0.3153	competitive	0.0006	0.0005	1.12	0.03	0.6817	0.059	0.2307	-0.059	0.3935	791,801	41.1	0.94	531	20.4	0.4595	16.5	1.43	66	0.1223	0.886	0.7056	0.7251	0.7403	0.5704	89,356	0.7836	23.7	232,265	217,376	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	16	-0.43	242	0.1273	0.7649	0.1366	0.751	0.7535	0.5987	551	50.65	31.73	0.7374	2,366	2.26	4,422	3,045	1.0479	10,479.44	0.05	215,382	116	0.0475	474.73	2	303.03	0.05	99.01	0.01	99.01	0.02	99.01	0	99.01	-16.7	-1.8	-1	-35.2	-8.7	null	null	null	null	null	-0.03	121,163	-0.155	0.56	471,337	0.362	-0.18	106,457	-0.14	0.73	171,281	0.769	-0.2	123,657	-0.167	0.79	131,979	0.821	0.17	-570	0.192	0.78	200	0.934	0.12	-10,712	0.197	0.68	7,963	0.859	0.5818	null	null	600	0.07	2	0.602	0.569	decelerating	0.07	0.47	2	2	11	44	0.732	0.739	0.74	0.602	0.569	156,567	163,872	163,540	30	693	decelerating	-0.03	null	74.75
BHVQ3RST	Cipriani Downtown Miami	Food and Drink	Restaurants	Italian restaurant	Italian restaurant	465 Brickell Ave CU1, Miami, FL 33131	465 Brickell Ave CU1	Miami	Florida	Downtown Miami	Brickell	33,131	US	true	25.768852	-80.188538	America/New_York	(786) 32-***	4	null	true	true	null	true	Miami	Florida	US	https	https://cipriani.com/cipriani-downtown-miami	cipriani.com/cipriani-downtown-miami	cipriani.com	com	10,949	1996-04-14	2031-04-15	Network Solutions, LLC	"purchase_dataset@cipriani.com, purchase_dataset@cipriani.com, purchase_dataset@cipriani.com, purcha(...TRUNCATED)	realdomain	30	1	29	Upscale scene where an international crowd tucks into Italian food chased with Bellinis.	true	true	4.11	1,067	{"1": 142, "2": 62, "3": 87, "4": 192, "5": 884}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, 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, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Late-night food, Priv(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Cozy, Romantic, Trendy, Upscale	Groups, Tourists	"Brunch reservations recommended, Lunch reservations recommended, Reservations required, Dinner rese(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	5	2025-08-11	2026-02-16	239	50	36	239	239	50	50	https://www.instagram.com/cipriani	cipriani	https://www.facebook.com/cipriani	cipriani	https://twitter.com/cipriani	cipriani	null	null	https://www.linkedin.com/company/cipriani	cipriani	null	null	https://github.com/thcipriani	thcipriani	null	null	null	null	241,268	0.26	null	0.18	0.25	0.26	1,979	null	null	null	null	null	null	null	null	null	https://resy.com/cities/miami-fl/venues/cipriani-downtown-miami	https://resy.com/cities/miami-fl/venues/cipriani-downtown-miami	2026-04-07T06:23:00.278181+00:00	92.19	0.97	0	12,613.09	41	55.8292	1.25	82.2	100	76.4	0.5153	null	0.3689	0.4862	0.316	0.7861	0.8891	0.947	68.4	65.8	null	null	null	70.97	29.03	0	75.86	24.14	0	64.89	31.3	3.82	stable	improving	null	2.6	0.0529	4	31	58	131	6.9	-5.3	-100	73.9	32.8	56	100	70	100	342	2,995	446	7,324	57,557	9,411	59,922	917,321	78,030	64,686	342	189,210	172	16,904	123,410	177	27,915	157,007	179	4,916	465	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.8058	0.2107	0.6415	-0.2107	-0.2726	0.7501	0.1993	0.4237	-0.1993	-0.0548	0.8241	0.1713	0.5272	-0.1713	-0.1583	178	171	176	189,210	343,596	16,904	0.7414	0.5345	0.9773	0.4929	0.7861	45.3	0.79	1,731	15.2	0.5818	19.9	2.34	-366	29.2	-0.0665	123,410	245,597	27,915	0.8335	0.6724	0.9632	0.6318	0.8891	52.4	1.19	2,312	19.1	0.7037	12.8	1.94	-947	25.3	-0.1884	157,007	265,069	4,916	0.7869	Strong	0.6433	0.9935	0.5138	0.947	Market Leader	53.5	1.16	4,086	14.6	Market Leader	0.7681	11.7	1.97	-2,721	29.8	-0.2528	172	177	179	634	47	competitive	0.0046	54.43	29.8	63.7	6.4	3,145	1,009	competitive	0.0033	2.24	4	79	17	6,583	5,059	competitive	0.0019	0.57	1.1	82	16.3	0.6	0.215	0.635	-0.215	-0.2661	169	170	91	619	239	0.9692	0.7934	0.9212	0.761	0.5333	54.2	1.2	3,292	18.1	0.7631	11	1.93	-1,927	26.3	-0.2478	competitive	0.0024	1.16	1.2	82.2	16.6	0.9021	1.25	2.07	0.3099	0.7553	-0.3099	-0.3864	195	196	7,831	18,983	3,660	0.8616	0.6666	0.9358	0.6571	0.5584	64.6	2.74	6,140	31.6	0.7999	0.6	0.39	-4,775	12.8	-0.2846	competitive	0.0011	0.0011	0.57	0.06	0.8254	0.059	0.2307	-0.059	0.1382	791,801	41.1	0.94	531	20.4	0.4595	24.1	2.19	834	0.0558	0.9588	0.8047	0.899	0.7421	0.4948	32,057	0.8946	24	153,732	79,850	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	24.5	-0.33	709	0.0701	0.9463	0.1539	0.8672	0.8947	0.537	127	50.65	27.56	0.6715	2,366	3.82	2,617	3,045	1.258	12,580.38	0.09	110,452	116	0.0556	555.86	0.21	58.14	0.11	56.5	0.04	55.87	0.06	58.82	0.01	51.02	-14.4	-0.97	319	-31.6	-44.5	null	null	null	null	null	-0.22	179,653	-0.245	0.75	189,194	0.741	-0.13	91,331	-0.121	0.82	123,377	0.834	-0.17	146,642	-0.198	0.81	156,909	0.787	0.22	-306	0.104	0.9	91	0.969	0.17	-1,286	0.028	0.83	7,831	0.862	0.5153	null	null	1,067	0.07	2	0.405	0.413	decelerating	0.07	0.47	2	2	33	133	0.732	0.739	0.74	0.405	0.413	156,567	163,872	163,540	41	579	decelerating	-0.3	null	73.52
ZNV66CKU	Kiki On The River	Food and Drink	Restaurants	Mediterranean restaurant	Mediterranean restaurant	450 NW N River Dr, Miami, FL 33128	450 NW N River Dr	Miami	Florida	Downtown Miami	Downtown	33,128	US	true	25.777784	-80.205029	America/New_York	(786) 50-***	4	null	true	true	null	true	Miami	Florida	US	https	https://kikiontheriver.com	kikiontheriver.com	kikiontheriver.com	com	3,527	2016-08-09	2026-08-09	GoDaddy.com, LLC	purchase_dataset@kikimiami.com, purchase_dataset@kikimiami.com	null	2	2	0	A boho-chic, waterfront venue sets the stage for traditional versions of Greek cuisine.	true	true	3.39	1,045	{"1": 803, "2": 178, "3": 266, "4": 392, "5": 2366}	Outdoor seating, Onsite services, Dine-in	Great cocktails, Great coffee, Great dessert, Great wine list, Live music	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Cozy, Romantic, Trendy, Upscale	Groups, Tourists	"Brunch reservations recommended, Reservations required, Dinner reservations recommended, Accepts re(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	High chairs	true	true	purchase_dataset@	true	true	5	2021-06-17	2025-08-19	1,755	231	34	1,755	1,755	231	231	https://www.instagram.com/kikiontheriver	kikiontheriver	https://www.facebook.com/kikiontheriver	kikiontheriver	https://twitter.com/kikiontheriver	kikiontheriver	https://www.tiktok.com/@kikiontheriver	kikiontheriver	https://www.linkedin.com/company/kiki-on-the-river	kiki-on-the-river	null	null	null	null	null	null	null	null	218,295	0.03	null	null	null	0.03	1,836	388	4	211	0.87	null	null	null	null	https://kikiontheriver.com/menu.html	https://sevenrooms.com/reservations/kikiontheriver	https://sevenrooms.com/reservations/kikiontheriver	2026-04-07T06:22:38.729983+00:00	83.41	0.97	0	12,630.39	41	55.8292	1.24	67.8	100	54.9	0.1625	null	0.0884	0.7022	0.5351	0.1967	0.9587	0.947	54.4	76.8	null	null	null	55.88	44.12	0	85.19	14.4	0.41	76.25	22.81	0.94	stable	declining	null	-22.4	-0.4467	-29.2	34	243	320	-72	-57.5	-100	66.8	32.8	68	100	55.1	100	383	3,751	508	8,925	74,910	11,594	75,282	1,234,132	100,017	81,193	383	604,163	66	239,503	104,487	169	13,104	154,005	179	5,255	537	2,556	4,327	49,087	88,005	734,279	1,460,619	734,279	0.8061	0.2104	0.6597	-0.2104	-0.5713	0.4248	0.0903	0.2129	-0.0903	-0.1245	0.8235	0.2168	0.6042	-0.2168	-0.5158	178	65	168	604,163	378,295	239,503	0.1872	0.4878	0.6786	0.5962	0.1967	36.6	0.71	664	18.3	0.3872	23.9	2.64	3,343	-4.1	-0.2247	104,487	287,165	13,104	0.859	0.6168	0.9827	0.5534	0.9587	53.1	1.06	3,042	16.2	0.7556	7.4	2.29	965	-2	-0.5931	154,005	268,073	5,255	0.7911	Average	0.6393	0.993	0.4968	0.947	Market Leader	53.6	1.15	4,018	14.1	Market Leader	0.7681	6.9	2.2	-11	0.1	-0.6056	66	169	179	711	28	competitive	0.0849	20.69	63.1	32.3	4.6	2,429	1,134	competitive	0.0078	2.14	0.6	85.1	14.3	7,259	5,039	competitive	0.0056	0.57	1.1	81.5	16.9	0.6	0.2168	0.6352	-0.2168	-0.5468	169	170	155	579	73	0.948	0.808	0.9758	0.5422	0.2618	54.2	1.2	3,277	18.2	0.7647	6.3	2.15	730	-4	-0.6022	competitive	0.0072	1.16	1.2	82.2	16.6	0.9144	1.25	2.07	0.3083	0.7496	-0.3083	-0.6612	196	197	11,785	17,955	665	0.7916	0.6844	0.9883	0.1447	0.2363	64.6	2.73	6,122	31.4	0.7997	-4.1	0.62	-2,115	-17.2	-0.6372	competitive	0.0033	0.0011	0.57	0.06	0.8185	0.059	0.2307	-0.059	-0.1423	791,801	41.1	0.94	531	20.4	0.4595	19.4	2.41	3,476	-0.297	0.9174	0.8271	0.9894	0.5937	0.215	64,671	0.9119	-6.2	136,246	8,360	44.5	8.8	46.7	791,802	2,366	49	4.29	358	20.1	0.4551	20.9	-0.91	687	-0.2797	0.8901	0.074	0.8516	0.8867	0.2474	255	50.65	7.11	0.4753	2,366	3.82	2,617	3,045	1.2521	12,521.45	0.09	109,889	116	0.0557	557.08	72.12	151.52	0.61	59.17	0.31	55.87	0.52	58.82	0.11	50.76	-10.1	-0.04	2,981	-41	-17	null	null	null	null	null	0.17	-6,618	0.019	0.42	604,160	0.187	-0.15	88,083	-0.118	0.82	104,471	0.859	-0.18	143,640	-0.193	0.81	153,965	0.791	0.38	-876	0.295	0.91	155	0.948	0.34	-13,179	0.242	0.82	11,785	0.792	0.1625	null	null	1,045	0.07	2	0.519	0.398	decelerating	0.07	0.47	2	2	35	320	0.732	0.739	0.74	0.519	0.398	156,567	163,872	163,540	13	166	decelerating	-0.16	null	56.65

End of preview. Expand in Data Studio

Restaurant Verified Email Access in Miami, Florida, US

Free sample dataset from BeamStation

--Reach Independent Inboxes-- Weekly verified, high-deliverability emails.

Only for established, independent restaurants (or micro-chains) – large chain enterprises excluded.

Weekly email verification and detailed analysis via our proprietary infrastructure.

Business activity validated by an "Active Heartbeat" signal.

This dataset provides 542 verified email contacts for independent dining establishments located in Miami, Florida, US. Updated on a weekly basis, each record includes deliverability-checked addresses and an Active Heartbeat indicator that confirms ongoing business activity. The focus is exclusively on independent operators, ensuring that large chain brands are filtered out.

Researchers, marketing professionals, and sales teams seeking to reach local restaurant owners or managers can use this list for targeted outreach, partnership development, or market analysis. Because the data is refreshed regularly, users can rely on current contact information and reduced bounce rates. Access the dataset directly at https://beamstation.com/datasets/126246/ for integration into CRM systems or outreach platforms.

Dataset Details

Field	Value
Full dataset	542 records
Sample size	54 records
Location	Miami
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (498 total)

Column List

#	Column
1	`beam_id`
2	`title`
3	`category_main_group`
4	`category_sub_group`
5	`category`
6	`categories`
7	`address`
8	`street`
9	`city`
10	`state`
11	`borough`
12	`neighborhood`
13	`postal_code`
14	`country`
15	`address_verified`
16	`latitude`
17	`longitude`
18	`timezone`
19	`phone`
20	`price_level`
21	`business_status`
22	`has_open_hours`
23	`has_price`
24	`census_place`
25	`verified_census_city`
26	`beam_location_name`
27	`beam_state_code`
28	`beam_country_code`
29	`website_protocol`
30	`website`
31	`website_normalized`
32	`website_domain`
33	`website_domain_tld`
34	`website_domain_age`
35	`website_domain_registered`
36	`website_domain_expires`
37	`website_domain_registrar`
38	`emails_list`
39	`emails_list_website_domain`
40	`emails_count`
41	`emails_deliverable_count`
42	`emails_risky_count`
43	`description`
44	`has_about`
45	`has_description`
46	`rating`
47	`reviews_total_count`
48	`reviews_per_rating`
49	`service_options`
50	`highlights`
51	`popular_for`
52	`accessibility`
53	`offerings`
54	`dining_options`
55	`amenities`
56	`atmosphere`
57	`crowd`
58	`planning`
59	`payments`
60	`children`
61	`has_popular_times`
62	`has_website`
63	`has_email`
64	`has_social`
65	`has_phone`
66	`socials_count`
67	`first_social_post_date`
68	`last_social_post_date`
69	`first_social_post_days`
70	`last_social_post_days`
71	`social_post_count`
72	`first_social_post_days_min`
73	`first_social_post_days_max`
74	`last_social_post_days_min`
75	`last_social_post_days_max`
76	`social_profile_instagram`
77	`social_username_instagram`
78	`social_profile_facebook`
79	`social_username_facebook`
80	`social_profile_twitter`
81	`social_username_twitter`
82	`social_profile_tiktok`
83	`social_username_tiktok`
84	`social_profile_linkedin`
85	`social_username_linkedin`
86	`social_profile_youtube`
87	`social_username_youtube`
88	`social_profile_github`
89	`social_username_github`
90	`social_profile_snapchat`
91	`social_username_snapchat`
92	`social_profile_pinterest`
93	`social_username_pinterest`
94	`instagram_followers`
95	`instagram_engagement_rate`
96	`instagram_engagement_rate_1m`
97	`instagram_engagement_rate_3m`
98	`instagram_engagement_rate_6m`
99	`instagram_engagement_rate_12m`
100	`instagram_post_count`
101	`tiktok_followers`
102	`tiktok_video_count`
103	`tiktok_heart_count`
104	`tiktok_engagement_rate`
105	`tiktok_engagement_rate_1m`
106	`tiktok_engagement_rate_3m`
107	`tiktok_engagement_rate_6m`
108	`tiktok_engagement_rate_12m`
109	`menu_link`
110	`order_links`
111	`reservation_link`
112	`last_updated_at`
113	`beam_cross_social_market_penetration`
114	`beam_cross_velocity_quality`
115	`beam_cross_social_urgency`
116	`beam_cross_per_capita_engagement`
117	`beam_cross_market_saturation_lead`
118	`beam_cross_population_adjusted_rank`
119	`beam_cross_demand_gap_index`
120	`beam_rating_score`
121	`beam_review_confidence`
122	`beam_rating_health`
123	`sentiment_avg`
124	`sentiment_avg_30d`
125	`sentiment_avg_90d`
126	`sentiment_avg_180d`
127	`sentiment_avg_360d`
128	`sentiment_percentile_1km`
129	`sentiment_percentile_5km`
130	`sentiment_percentile_10km`
131	`sentiment_score_90d`
132	`sentiment_score_360d`
133	`sentiment_positive_pct_30d`
134	`sentiment_negative_pct_30d`
135	`sentiment_neutral_pct_30d`
136	`sentiment_positive_pct_90d`
137	`sentiment_negative_pct_90d`
138	`sentiment_neutral_pct_90d`
139	`sentiment_positive_pct_180d`
140	`sentiment_negative_pct_180d`
141	`sentiment_neutral_pct_180d`
142	`sentiment_positive_pct_360d`
143	`sentiment_negative_pct_360d`
144	`sentiment_neutral_pct_360d`
145	`sentiment_trend_30vs90d`
146	`sentiment_trend_90vs360d`
147	`sentiment_diff_30vs90d`
148	`sentiment_change_360d`
149	`sentiment_diff_90vs360d`
150	`sentiment_change_pct_360d`
151	`reviews_count_30d`
152	`reviews_count_90d`
153	`reviews_count_180d`
154	`reviews_count_360d`
155	`review_growth_pct_180d`
156	`review_growth_pct_360d`
157	`review_growth_pct_90d`
158	`beam_score_overall`
159	`beam_popularity_percentile`
160	`beam_social_presence`
161	`beam_data_completeness`
162	`beam_price_value`
163	`beam_data_freshness`
164	`beam_rank_city_category`
165	`beam_rank_city_overall`
166	`beam_rank_city_reviews`
167	`beam_rank_state_category`
168	`beam_rank_state_overall`
169	`beam_rank_state_reviews`
170	`beam_rank_country_category`
171	`beam_rank_country_overall`
172	`beam_rank_country_reviews`
173	`beam_rank_place_global_category`
174	`beam_rank_category`
175	`beam_rank_competition_1km_category`
176	`beam_rank_competition_1km_total`
177	`beam_rank_competition_1km_reviews`
178	`beam_rank_competition_5km_category`
179	`beam_rank_competition_5km_total`
180	`beam_rank_competition_5km_reviews`
181	`beam_rank_competition_10km_category`
182	`beam_rank_competition_10km_total`
183	`beam_rank_competition_10km_reviews`
184	`beam_export_rank`
185	`total_city_category`
186	`total_city`
187	`total_state_category`
188	`total_state`
189	`total_country_category`
190	`total_country`
191	`total_category_global`
192	`beam_competitors_10km_competitive_strength`
193	`beam_competitors_10km_competitor_avg_sentiment_30d`
194	`beam_competitors_10km_competitor_avg_sentiment_90d`
195	`beam_competitors_10km_sentiment_diff_30d`
196	`beam_competitors_10km_sentiment_diff_90d`
197	`beam_competitors_1km_competitive_strength`
198	`beam_competitors_1km_competitor_avg_sentiment_30d`
199	`beam_competitors_1km_competitor_avg_sentiment_90d`
200	`beam_competitors_1km_sentiment_diff_30d`
201	`beam_competitors_1km_sentiment_diff_90d`
202	`beam_competitors_5km_competitive_strength`
203	`beam_competitors_5km_competitor_avg_sentiment_30d`
204	`beam_competitors_5km_competitor_avg_sentiment_90d`
205	`beam_competitors_5km_sentiment_diff_30d`
206	`beam_competitors_5km_sentiment_diff_90d`
207	`beam_competitors_10km_competitor_count`
208	`beam_competitors_1km_competitor_count`
209	`beam_competitors_5km_competitor_count`
210	`beam_competitors_1km_rank_by_score`
211	`beam_competitors_1km_rank_by_rating`
212	`beam_competitors_1km_rank_by_reviews`
213	`beam_competitors_1km_score_percentile`
214	`beam_competitors_1km_rating_percentile`
215	`beam_competitors_1km_reviews_percentile`
216	`beam_competitors_1km_health_percentile`
217	`beam_competitors_1km_sentiment_percentile`
218	`beam_competitors_1km_competitor_avg_score`
219	`beam_competitors_1km_competitor_avg_rating`
220	`beam_competitors_1km_competitor_avg_reviews`
221	`beam_competitors_1km_competitor_avg_health`
222	`beam_competitors_1km_competitor_avg_sentiment`
223	`beam_competitors_1km_score_diff`
224	`beam_competitors_1km_rating_diff`
225	`beam_competitors_1km_reviews_diff`
226	`beam_competitors_1km_health_diff`
227	`beam_competitors_1km_sentiment_diff`
228	`beam_competitors_5km_rank_by_score`
229	`beam_competitors_5km_rank_by_rating`
230	`beam_competitors_5km_rank_by_reviews`
231	`beam_competitors_5km_score_percentile`
232	`beam_competitors_5km_rating_percentile`
233	`beam_competitors_5km_reviews_percentile`
234	`beam_competitors_5km_health_percentile`
235	`beam_competitors_5km_sentiment_percentile`
236	`beam_competitors_5km_competitor_avg_score`
237	`beam_competitors_5km_competitor_avg_rating`
238	`beam_competitors_5km_competitor_avg_reviews`
239	`beam_competitors_5km_competitor_avg_health`
240	`beam_competitors_5km_competitor_avg_sentiment`
241	`beam_competitors_5km_score_diff`
242	`beam_competitors_5km_rating_diff`
243	`beam_competitors_5km_reviews_diff`
244	`beam_competitors_5km_health_diff`
245	`beam_competitors_5km_sentiment_diff`
246	`beam_competitors_10km_rank_by_score`
247	`beam_competitors_10km_rank_by_rating`
248	`beam_competitors_10km_rank_by_reviews`
249	`beam_competitors_10km_score_percentile`
250	`beam_competitors_1km_competitive_tier`
251	`beam_competitors_10km_rating_percentile`
252	`beam_competitors_10km_reviews_percentile`
253	`beam_competitors_10km_health_percentile`
254	`beam_competitors_10km_sentiment_percentile`
255	`beam_competitors_5km_competitive_tier`
256	`beam_competitors_10km_competitor_avg_score`
257	`beam_competitors_10km_competitor_avg_rating`
258	`beam_competitors_10km_competitor_avg_reviews`
259	`beam_competitors_10km_competitor_avg_health`
260	`beam_competitors_10km_competitive_tier`
261	`beam_competitors_10km_competitor_avg_sentiment`
262	`beam_competitors_10km_score_diff`
263	`beam_competitors_10km_rating_diff`
264	`beam_competitors_10km_reviews_diff`
265	`beam_competitors_10km_health_diff`
266	`beam_competitors_10km_sentiment_diff`
267	`beam_competitors_1km_total_in_radius`
268	`beam_competitors_5km_total_in_radius`
269	`beam_competitors_10km_total_in_radius`
270	`beam_competitors_1km_avg_distance_m`
271	`beam_competitors_1km_closest_competitor_m`
272	`beam_competitors_1km_market_type`
273	`beam_competitors_1km_review_share`
274	`beam_competitors_1km_density_per_sqkm`
275	`beam_competitors_1km_tier_below_40`
276	`beam_competitors_1km_tier_40_59`
277	`beam_competitors_1km_tier_60_79`
278	`beam_competitors_1km_tier_80_100`
279	`beam_competitors_5km_avg_distance_m`
280	`beam_competitors_5km_closest_competitor_m`
281	`beam_competitors_5km_market_type`
282	`beam_competitors_5km_review_share`
283	`beam_competitors_5km_density_per_sqkm`
284	`beam_competitors_5km_tier_below_40`
285	`beam_competitors_5km_tier_40_59`
286	`beam_competitors_5km_tier_60_79`
287	`beam_competitors_5km_tier_80_100`
288	`beam_competitors_10km_avg_distance_m`
289	`beam_competitors_10km_closest_competitor_m`
290	`beam_competitors_10km_market_type`
291	`beam_competitors_10km_review_share`
292	`beam_competitors_10km_density_per_sqkm`
293	`beam_competitors_10km_tier_below_40`
294	`beam_competitors_10km_tier_40_59`
295	`beam_competitors_10km_tier_60_79`
296	`beam_competitors_10km_tier_80_100`
297	`beam_competitors_city_competitor_avg_sentiment_30d`
298	`beam_competitors_city_competitor_avg_sentiment_90d`
299	`beam_competitors_city_sentiment_diff_30d`
300	`beam_competitors_city_sentiment_diff_90d`
301	`beam_competitors_city_competitor_count`
302	`beam_competitors_city_total_in_city`
303	`beam_competitors_city_rank_by_score`
304	`beam_competitors_city_rank_by_rating`
305	`beam_competitors_city_rank_by_reviews`
306	`beam_competitors_city_score_percentile`
307	`beam_competitors_city_rating_percentile`
308	`beam_competitors_city_reviews_percentile`
309	`beam_competitors_city_health_percentile`
310	`beam_competitors_city_sentiment_percentile`
311	`beam_competitors_city_competitor_avg_score`
312	`beam_competitors_city_competitor_avg_rating`
313	`beam_competitors_city_competitor_avg_reviews`
314	`beam_competitors_city_competitor_avg_health`
315	`beam_competitors_city_competitor_avg_sentiment`
316	`beam_competitors_city_score_diff`
317	`beam_competitors_city_rating_diff`
318	`beam_competitors_city_reviews_diff`
319	`beam_competitors_city_health_diff`
320	`beam_competitors_city_sentiment_diff`
321	`beam_competitors_city_market_type`
322	`beam_competitors_city_review_share`
323	`beam_competitors_city_density_per_sqkm`
324	`beam_competitors_city_tier_below_40`
325	`beam_competitors_city_tier_40_59`
326	`beam_competitors_city_tier_60_79`
327	`beam_competitors_city_tier_80_100`
328	`beam_competitors_city_competitive_strength`
329	`beam_competitors_city_underserved_score`
330	`beam_competitors_city_competition_intensity`
331	`beam_competitors_state_competitor_avg_sentiment_30d`
332	`beam_competitors_state_competitor_avg_sentiment_90d`
333	`beam_competitors_state_sentiment_diff_30d`
334	`beam_competitors_state_sentiment_diff_90d`
335	`beam_competitors_state_competitor_count`
336	`beam_competitors_state_total_in_state`
337	`beam_competitors_state_rank_by_score`
338	`beam_competitors_state_rank_by_rating`
339	`beam_competitors_state_rank_by_reviews`
340	`beam_competitors_state_score_percentile`
341	`beam_competitors_state_rating_percentile`
342	`beam_competitors_state_reviews_percentile`
343	`beam_competitors_state_health_percentile`
344	`beam_competitors_state_sentiment_percentile`
345	`beam_competitors_state_competitor_avg_score`
346	`beam_competitors_state_competitor_avg_rating`
347	`beam_competitors_state_competitor_avg_reviews`
348	`beam_competitors_state_competitor_avg_health`
349	`beam_competitors_state_competitor_avg_sentiment`
350	`beam_competitors_state_score_diff`
351	`beam_competitors_state_rating_diff`
352	`beam_competitors_state_reviews_diff`
353	`beam_competitors_state_health_diff`
354	`beam_competitors_state_sentiment_diff`
355	`beam_competitors_state_market_type`
356	`beam_competitors_state_review_share`
357	`beam_competitors_state_density_per_sqkm`
358	`beam_competitors_state_underserved_score`
359	`beam_competitors_state_competition_intensity`
360	`beam_competitors_state_competitive_strength`
361	`beam_competitors_country_competitor_avg_sentiment_30d`
362	`beam_competitors_country_competitor_avg_sentiment_90d`
363	`beam_competitors_country_sentiment_diff_30d`
364	`beam_competitors_country_sentiment_diff_90d`
365	`beam_competitors_country_competitor_count`
366	`beam_competitors_country_competitor_avg_score`
367	`beam_competitors_country_competitor_avg_rating`
368	`beam_competitors_country_competitor_avg_reviews`
369	`beam_competitors_country_competitor_avg_health`
370	`beam_competitors_country_competitor_avg_sentiment`
371	`beam_competitors_country_score_diff`
372	`beam_competitors_country_rating_diff`
373	`beam_competitors_country_reviews_diff`
374	`beam_competitors_country_sentiment_diff`
375	`beam_competitors_country_score_percentile`
376	`beam_competitors_country_rating_percentile`
377	`beam_competitors_country_reviews_percentile`
378	`beam_competitors_country_health_percentile`
379	`beam_competitors_country_sentiment_percentile`
380	`beam_competitors_country_rank_by_score`
381	`beam_competitors_country_competitive_strength`
382	`beam_competitors_country_health_diff`
383	`beam_competitors_country_rank_by_rating`
384	`beam_competitors_country_rank_by_reviews`
385	`beam_competitors_country_tier_40_59`
386	`beam_competitors_country_tier_60_79`
387	`beam_competitors_country_tier_80_100`
388	`beam_competitors_country_tier_below_40`
389	`beam_competitors_country_total_in_country`
390	`beam_competitors_city_siblings_competitor_count`
391	`beam_competitors_city_siblings_competitor_avg_score`
392	`beam_competitors_city_siblings_competitor_avg_rating`
393	`beam_competitors_city_siblings_competitor_avg_reviews`
394	`beam_competitors_city_siblings_competitor_avg_health`
395	`beam_competitors_city_siblings_competitor_avg_sentiment`
396	`beam_competitors_city_siblings_score_diff`
397	`beam_competitors_city_siblings_rating_diff`
398	`beam_competitors_city_siblings_reviews_diff`
399	`beam_competitors_city_siblings_sentiment_diff`
400	`beam_competitors_city_siblings_score_percentile`
401	`beam_competitors_city_siblings_rating_percentile`
402	`beam_competitors_city_siblings_reviews_percentile`
403	`beam_competitors_city_siblings_health_percentile`
404	`beam_competitors_city_siblings_sentiment_percentile`
405	`beam_competitors_city_siblings_rank_by_score`
406	`beam_competitors_city_siblings_competitor_avg_recommend_pct`
407	`beam_competitors_city_siblings_recommend_pct_diff`
408	`beam_competitors_city_siblings_recommend_pct_percentile`
409	`beam_competitors_city_siblings_total_siblings`
410	`beam_competitors_city_businesses_per_10k_pop`
411	`beam_competitors_city_population_per_business`
412	`beam_competitors_city_population_density`
413	`beam_competitors_city_reviews_per_capita`
414	`beam_competitors_city_reviews_per_10k_pop`
415	`beam_competitors_state_businesses_per_10k_pop`
416	`beam_competitors_state_population_per_business`
417	`beam_competitors_state_population_density`
418	`beam_competitors_state_reviews_per_capita`
419	`beam_competitors_state_reviews_per_10k_pop`
420	`beam_competitors_1km_hhi_contribution`
421	`beam_competitors_1km_hhi_minimum`
422	`beam_competitors_5km_hhi_contribution`
423	`beam_competitors_5km_hhi_minimum`
424	`beam_competitors_10km_hhi_contribution`
425	`beam_competitors_10km_hhi_minimum`
426	`beam_competitors_city_hhi_contribution`
427	`beam_competitors_city_hhi_minimum`
428	`beam_competitors_state_hhi_contribution`
429	`beam_competitors_state_hhi_minimum`
430	`beam_trends_score_30d_beam_score_overall`
431	`beam_trends_score_30d_rating`
432	`beam_trends_score_30d_review_count`
433	`beam_trends_score_30d_beam_rating_health`
434	`beam_trends_score_30d_beam_popularity_percentile`
435	`beam_trends_score_90d_beam_score_overall`
436	`beam_trends_score_90d_rating`
437	`beam_trends_score_90d_review_count`
438	`beam_trends_score_90d_beam_rating_health`
439	`beam_trends_score_90d_beam_popularity_percentile`
440	`beam_trends_competitive_1km_30d_strength_change`
441	`beam_trends_competitive_1km_30d_rank_change`
442	`beam_trends_competitive_1km_30d_percentile_change`
443	`beam_trends_competitive_1km_90d_strength_change`
444	`beam_trends_competitive_1km_90d_rank_change`
445	`beam_trends_competitive_1km_90d_percentile_change`
446	`beam_trends_competitive_5km_30d_strength_change`
447	`beam_trends_competitive_5km_30d_rank_change`
448	`beam_trends_competitive_5km_30d_percentile_change`
449	`beam_trends_competitive_5km_90d_strength_change`
450	`beam_trends_competitive_5km_90d_rank_change`
451	`beam_trends_competitive_5km_90d_percentile_change`
452	`beam_trends_competitive_10km_30d_strength_change`
453	`beam_trends_competitive_10km_30d_rank_change`
454	`beam_trends_competitive_10km_30d_percentile_change`
455	`beam_trends_competitive_10km_90d_strength_change`
456	`beam_trends_competitive_10km_90d_rank_change`
457	`beam_trends_competitive_10km_90d_percentile_change`
458	`beam_trends_competitive_city_30d_strength_change`
459	`beam_trends_competitive_city_30d_rank_change`
460	`beam_trends_competitive_city_30d_percentile_change`
461	`beam_trends_competitive_city_90d_strength_change`
462	`beam_trends_competitive_city_90d_rank_change`
463	`beam_trends_competitive_city_90d_percentile_change`
464	`beam_trends_competitive_state_30d_strength_change`
465	`beam_trends_competitive_state_30d_rank_change`
466	`beam_trends_competitive_state_30d_percentile_change`
467	`beam_trends_competitive_state_90d_strength_change`
468	`beam_trends_competitive_state_90d_rank_change`
469	`beam_trends_competitive_state_90d_percentile_change`
470	`beam_trends_sentiment_current_sentiment`
471	`beam_trends_sentiment_positive_ratio`
472	`beam_trends_sentiment_negative_ratio`
473	`beam_trends_sentiment_review_count`
474	`beam_trends_velocity_reviews_per_day`
475	`beam_trends_velocity_reviews_per_month`
476	`beam_trends_velocity_percentile_city`
477	`beam_trends_velocity_percentile_state`
478	`beam_trends_velocity_trend`
479	`beam_velocity_reviews_per_day`
480	`beam_velocity_reviews_per_week`
481	`beam_velocity_reviews_per_month`
482	`beam_velocity_reviews_last_30d`
483	`beam_velocity_reviews_last_90d`
484	`beam_velocity_reviews_last_365d`
485	`beam_velocity_percentile_1km`
486	`beam_velocity_percentile_5km`
487	`beam_velocity_percentile_10km`
488	`beam_velocity_percentile_city`
489	`beam_velocity_percentile_state`
490	`beam_velocity_rank_1km`
491	`beam_velocity_rank_5km`
492	`beam_velocity_rank_10km`
493	`beam_velocity_rank_city`
494	`beam_velocity_rank_state`
495	`beam_velocity_trend`
496	`beam_velocity_change_30d`
497	`beam_velocity_change_90d`
498	`beam_trends_sentiment_recommend_pct`

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/restaurant-verified-email-access-in-miami-florida-us-126246")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 542 records and unmasked contact data is available at:

Restaurant Verified Email Access in Miami, Florida, US on BeamStation

License

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

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