Datasets:

beamstation
/

top-50-restaurant-category-dominators-in-virginia-us-120220

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place 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 float64	social_username_github float64	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_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_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_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
KFG8CYML	Outback Steakhouse	Food and Drink	Restaurants	Steak house	Steak house, American restaurant, Australian restaurant, Bar, Bar & grill, Gluten-free restaurant, Takeout Restaurant, Restaurant	4312 Portsmouth Blvd, Chesapeake, VA 23321	4312 Portsmouth Blvd	Chesapeake	Virginia	Western Branch North	Western Branch North	23,321	US	true	36.822382	-76.420488	America/New_York	(757) 46-***	2	OPERATIONAL	true	true	null	true	Chesapeake	Virginia	US	https	https://locations.outback.com/virginia/chesapeake/4312-portsmouth-boulevard	locations.outback.com/virginia/chesapeake/4312-portsmouth-boulevard	locations.outback.com	com	10,526	1997-06-09	2026-12-19	MarkMonitor, Inc.	null	null	0	0	0	Boisterous Australian-themed chain serving steaks, seafood & other hearty steakhouse fare.	true	true	4.23	3,133	{"1": 276, "2": 180, "3": 304, "4": 575, "5": 2381}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Braille menu, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Healthy options, Late-night food, Organic dishes, Small plates, Wine	Lunch, Dinner, Catering, Dessert, Seating	Bar onsite, Gender-neutral restroom, Restroom	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, Tourists	Accepts reservations	Checks, Debit cards	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-01-06	2026-01-22	457	76	24	457	457	76	76	https://www.instagram.com/outback	outback	https://www.facebook.com/outbacksteakhouse.brooklyn.ny.3331	outbacksteakhouse.brooklyn.ny.3331	https://twitter.com/outback	outback	null	null	https://www.linkedin.com/company/outback-steakhouse	outback-steakhouse	null	null	null	null	null	null	null	null	477,709	0.78	null	0.52	0.43	0.43	1,933	null	null	null	null	null	null	null	null	https://outback.com/menu/chesapeake	null	null	2026-04-08T01:26:31.436353+00:00	191.54	0	5,936.04	49	368.6131	1.67	84.6	100	79.1	0.5765	null	0.2683	0.3083	0.2313	0.0666	0.0907	0.1447	63.4	61.6	null	null	null	66.67	33.33	0	68.75	31.25	0	64.71	35.29	0	stable	stable	null	1.8	0.037	2.9	15	16	17	87.5	252.9	-100	65.5	9.5	60	67	68.8	46	3	633	3	28	18,670	30	1,189	812,814	1,492	1,237	3	564,138	37	179,429	699,768	101	580,867	589,089	101	460,599	38	636	1,325	19,199	36,473	734,279	1,460,619	734,279	0.2295	0.0213	0.208	-0.0213	0.0603	0.4626	-0.0074	0.0835	0.0074	0.1848	0.1601	0.0232	0.1638	-0.0232	0.1045	100	36	100	564,138	396,466	179,429	0.2398	0.4631	0.7591	0.5345	0.0666	37.7	0.67	758	16.4	0.2971	-0.6	-0.63	2,946	-15.9	0.2794	699,768	600,440	580,867	0.0756	0.1993	0.2337	0.1689	0.0907	38.2	0.42	531	6.9	0.4152	-1.1	-0.38	3,173	-6.4	0.1613	589,089	674,530	460,599	0.2126	Average	0.0952	0.3865	0.1119	0.1447	Emerging	44.3	0.33	927	6	Below Average	0.4735	-7.2	-0.29	2,777	-5.5	0.103	37	101	101	627	81	competitive	0.1195	11.46	55.6	41.7	2.8	3,326	1,015	competitive	0.0652	1.27	48	51	1	6,815	5,019	competitive	0.0384	0.32	26	72	2	0.1141	0.413	-0.1141	-0.1447	100	101	420	638	13	0.4309	0.1154	0.9839	0.1973	0.5839	49.2	0.58	1,469	7.3	0.6292	-12.1	-0.54	2,235	-6.8	-0.0527	competitive	0.0246	0.11	5	87	8	0.5021	1.71	1.97	0.1401	0.6552	-0.1401	-0.3869	100	101	11,090	12,375	231	0.4874	0.4124	0.9894	0.4059	0.5314	51.1	0.53	2,623	6.4	0.8243	-14	-0.49	1,081	-5.9	-0.2478	competitive	0.0139	0.0009	1.21	0.06	0.6155	0.059	0.2307	-0.059	0.0376	791,801	41.1	0.94	531	20.4	0.4595	-4	-0.9	3,173	0.117	0.3884	0.1585	0.9872	0.1585	0.564	482,073	0.4991	-19.9	648,854	10,150	44.5	8.8	46.7	791,802	558	50.6	3.99	440	12.4	0.4122	4.3	-0.38	2,693	0.1514	0.5153	0.2208	0.9964	0.2208	0.6409	270	55.95	25.32	0.6697	558	4.01	2,494	274	0.589	5,890.1	0.12	86,314	78	0.0304	303.91	142.85	270.27	42.53	99.01	14.77	99.01	6.05	99.01	1.94	99.01	-40.3	-4.19	571	-78.6	-60.6	null	null	null	null	null	0.18	-81,519	0.118	0.46	564,131	0.24	0.01	18,036	-0.011	0.16	699,756	0.076	-0.01	27,743	-0.028	0.23	589,059	0.213	-0.3	328	-0.445	0.5	420	0.431	-0.15	7,364	-0.336	0.62	11,090	0.487	0.5765	null	null	3,133	decelerating	0.07	0.47	2	2	21	74	0.439	0.452	0.454	0	0.066	417,455	437,538	435,431	6	139	decelerating	-0.4	null	81.42
3AF3XU3L	Fogo de Chão Brazilian Steakhouse	Food and Drink	Restaurants	Brazilian restaurant	Brazilian restaurant, Restaurant, Steak house	11915 Democracy Dr, Reston, VA 20190	11915 Democracy Dr	Fairfax	Virginia	Hunter Mill District	Sunset Hills	20,190	US	true	38.957764	-77.358138	America/New_York	(571) 53-***	3	null	true	true	Reston	true	Fairfax	Virginia	US	https	https://fogodechao.com/location/reston	fogodechao.com/location/reston	fogodechao.com	com	9,966	1998-12-24	2027-12-24	CSC Corporate Domains, Inc.	purchase_dataset@fogo.com, purchase_dataset@fogo.com, purchase_dataset@fogo.com, purchase_dataset@fogo.com, purchase_dataset@fogo.com, purchase_dataset@fogo.com, purchase_dataset@fogo.com, purchase_dataset@konnectagency.com, purchase_dataset@konnectagency.com, purchase_dataset@fogo.com, purchase_dataset@fogo.com, purch...	realdomain	35	35	0	Upscale Brazilian chain for all-you-can-eat meat carved tableside plus an extensive salad bar.	true	true	4.88	9,171	{"1": 128, "2": 78, "3": 94, "4": 257, "5": 9576}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great dessert, Great wine list	Lunch, Dinner	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, All you can eat, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Healthy options, Private dining room, Salad bar, Wine	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	6	2024-03-07	2026-03-04	762	35	95	762	762	35	35	https://www.instagram.com/fogo	fogo	https://www.facebook.com/fogochicago	fogochicago	https://twitter.com/fogorestaurants	fogorestaurants	https://www.tiktok.com/@fogodechao	fogodechao	https://www.linkedin.com/company/fogo-de-sh-aun	fogo-de-sh-aun	https://www.youtube.com/user/fogorestaurants	fogorestaurants	null	null	null	null	null	null	371,903	1.75	null	0.27	1.75	1.75	2,045	257,200	376	1,200,000	2.32	null	0.29	0.96	1.23	https://fogodechao.com/location/washington-dc-reston/#menus	https://opentable.com/restaurant/profile/1258738	https://opentable.com/restaurant/profile/1258738	2026-04-07T00:06:52.884837+00:00	2,564.85	0	99,730	569.3	112.3822	0.1	97.6	100	97	0.9221	null	0.9429	0.8835	0.8843	0.7165	0.4992	0.5817	97.1	94.2	null	null	null	97.87	2.13	0	95.63	2.62	1.75	95.71	2.57	1.71	stable	improving	null	2.9	0.0586	3.1	235	343	350	37	168.6	-100	83.8	9.5	88	100	96.9	100	1	161	1	1	3,491	1	22	159,446	36	22	1	274,904	71	70,844	567,177	157	468,186	385,772	150	523,790	1	1,128	1,856	19,199	36,473	734,279	1,460,619	734,279	0.3954	0.1082	0.5175	-0.1082	0.4216	0.6548	0.0583	0.3868	-0.0583	0.5523	0.2654	0.038	0.2972	-0.038	0.6419	149	70	156	274,904	410,957	70,844	0.6256	0.4437	0.905	0.3123	0.7165	43.4	0.64	1,077	10.7	0.5541	7.3	-0.45	9,016	-7.3	0.368	567,177	621,334	468,186	0.2476	0.1724	0.3822	0.1418	0.4992	43.1	0.39	710	6.4	0.5632	7.6	-0.2	9,383	-3	0.3589	385,772	460,810	523,790	0.4776	Strong	0.3787	0.3026	0.3806	0.5817	Below Average	49.3	0.67	767	11.1	Below Average	0.6437	1.4	-0.48	9,326	-7.7	0.2784	71	157	150	480	23	competitive	0.1181	22.28	31.4	64.3	4.3	2,892	1,004	competitive	0.0835	1.99	35.3	60.3	4.5	8,210	5,027	competitive	0.0812	0.47	6.7	84.6	8.7	0.0895	0.6095	-0.0895	0.3296	166	167	190	446	2	0.8453	0.6291	0.9992	0.6089	0.9806	50.1	0.53	1,418	7.6	0.7081	0.6	-0.34	8,675	-4.2	0.214	competitive	0.0411	10.22	1.8	89.8	8.4	0.8266	0.1	34.44	0.1321	0.652	-0.1321	0.2871	193	194	6,449	16,425	8	0.7014	0.2404	0.9997	0.2479	0.9827	58.2	1.62	1,898	23.9	0.7661	-7.5	-1.43	8,195	-20.5	0.156	competitive	0.0268	0.0017	0.63	0.13	0.6526	0.059	0.2307	-0.059	0.7084	791,801	41.1	0.94	531	20.4	0.4595	9.6	-0.75	9,562	0.4626	0.7752	0.476	0.9991	0.4913	0.9706	176,152	0.7526	-17	409,027	703	44.5	8.8	46.7	791,802	1,087	56	4.04	453	10.7	0.5106	23.2	0.85	8,718	0.4051	0.9908	0.7587	1	0.6252	0.9807	11	69.7	25.65	0.9595	1,087	68.75	145	1,486	9.7469	97,468.73	0.22	44,722	78	0.0424	424.36	139.52	140.85	69.7	63.69	65.85	66.67	16.91	59.88	7.19	51.55	-40.7	-4.69	922	-93.6	-63.5	null	null	null	null	null	-0.11	146,805	-0.197	0.65	274,903	0.626	-0.38	354,320	-0.461	0.27	567,176	0.248	-0.21	168,686	-0.22	0.4	385,771	0.478	-0.15	174	-0.143	0.83	190	0.845	-0.31	6,444	-0.298	0.65	6,449	0.701	0.9221	null	null	9,171	decelerating	5.87	41.07	176	176	475	1,313	0.999	0.999	0.999	0	0.833	554	566	566	1	2	stable	1.17	null	96.24
HK2MZL9X	Afghan Restaurant Authentic Cuisine & Sheeryakh	Food and Drink	Restaurants	Restaurant	Restaurant	6244 Little River Turnpike, Alexandria, VA 22312	6244 Little River Turnpike	Alexandria	Virginia	null	null	22,312	US	true	38.818825	-77.142315	America/New_York	(703) 35-***	2	OPERATIONAL	true	true	Lincolnia	true	Alexandria	Virginia	US	http	http://afghani.restaurant	afghani.restaurant	afghani.restaurant	restaurant	null	null	null	null	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.83	3,127	{"1": 86, "2": 29, "3": 27, "4": 120, "5": 3158}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Coffee, Comfort food, Halal food, Healthy options, Quick bite, Small plates, Vegan options, Vegetarian options	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Quiet	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/afghankebabandgrill	afghankebabandgrill	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://afghani.restaurant	null	null	2026-04-06T20:29:12.360319+00:00	0	3.2	13,892.09	521.6	41.6251	0.65	96.6	100	95.9	0.8498	null	0.1007	0.0927	0.0922	0.3349	0.5837	0.8351	55	54.6	null	null	null	6.82	0	93.18	5.08	0	94.92	4.92	0	95.08	stable	stable	null	0.4	0.0085	0.7	132	177	183	49.2	188.5	-100	69	9.5	8	83	65.5	98	4	190	4	29	4,180	31	1,193	190,350	1,497	1,241	4	587,037	38	330,754	422,974	139	400,266	279,795	171	239,868	3	1,540	2,447	19,199	36,473	734,279	1,460,619	734,279	0.5434	0.0676	0.6469	-0.0676	-0.5462	0.2929	0.041	0.2849	-0.041	-0.1842	0.3674	0.0007	0.3769	-0.0007	-0.2762	170	37	138	587,037	636,877	330,754	0.2099	0.1404	0.5561	0.1845	0.3349	37.1	0.25	551	7.8	0.437	-0.1	0.04	2,836	-2.5	0.4128	422,974	621,334	400,266	0.4354	0.1724	0.4717	0.1207	0.5837	46.3	0.39	820	6	0.5886	-9.3	-0.1	2,567	-0.7	0.2612	279,795	515,266	239,868	0.6186	Below Average	0.3063	0.6803	0.2905	0.8351	Below Average	50.8	0.58	1,406	9.2	Average	0.7132	-13.8	-0.29	1,981	-3.9	0.1366	38	139	171	204	0	competitive	0.1424	11.78	62.2	37.8	0	3,393	1,077	competitive	0.0291	1.76	11.6	86.2	2.2	7,722	5,179	competitive	0.014	0.54	1.2	90.6	8.2	0.033	0.6086	-0.033	-0.5079	166	167	1,023	474	18	0.3647	0.7009	0.9895	0.7183	0.9418	50.4	0.53	1,335	8.7	0.7026	-13.4	-0.24	2,052	-3.4	0.1472	competitive	0.0151	4.18	1.2	91	7.8	0.653	0.66	5.25	0.1313	0.6558	-0.1313	-0.5551	192	193	15,598	15,869	163	0.2806	0.2691	0.9926	0.2681	0.9521	58.2	1.6	1,924	24	0.769	-21.2	-1.31	1,463	-18.7	0.0808	competitive	0.0091	0.0017	0.63	0.13	0.4908	0.059	0.2307	-0.059	-0.13	791,801	41.1	0.94	531	20.4	0.4595	-4.1	-0.65	2,856	0.3903	0.3858	0.5258	0.984	0.5353	0.9267	484,259	0.6073	-15.1	372,726	12,647	44.5	8.8	46.7	791,802	1,435	55.3	4.03	450	9.8	0.4987	8	0.78	2,677	-0.1229	0.6646	0.7155	0.9979	0.7406	0.3033	474	70.47	-37.9	0.1179	1,435	10.41	961	4,012	1.3892	13,892.09	0.22	44,955	78	0.0428	427.96	202.68	263.16	8.44	71.94	1.95	58.48	2.27	59.88	0.83	51.81	-39.7	-4.54	260	-90.6	-59	null	null	null	null	null	-0.06	77,416	-0.093	0.29	587,035	0.21	-0.26	234,501	-0.307	0.37	422,953	0.435	-0.35	238,439	-0.321	0.54	279,593	0.619	-0.21	605	-0.374	0.65	1,023	0.365	-0.39	11,342	-0.518	0.49	15,598	0.281	0.8498	null	null	3,127	decelerating	1.77	12.37	53	53	275	2,885	0.992	0.992	0.992	0.987	0.989	7,528	7,791	7,776	4	30	decelerating	-1.36	null	89.86
MJ8C8KXD	Blue Moon Taphouse	Food and Drink	Restaurants	American restaurant	American restaurant, Bar, Beer garden, Beer hall, Event venue, Restaurant	333 Waterside Dr #108, Norfolk, VA 23510	333 Waterside Dr #108	Norfolk	Virginia	null	Downtown	23,510	US	true	36.844628	-76.291273	America/New_York	(757) 42-***	2	null	true	true	null	true	Norfolk	Virginia	US	https	https://watersidedistrict.com/eat-and-drink/blue-moon-taphouse	watersidedistrict.com/eat-and-drink/blue-moon-taphouse	watersidedistrict.com	com	3,992	2015-05-03	2027-05-03	GoDaddy Corporate Domains, LLC	purchase_dataset@watersidedistrict.com, purchase_dataset@watersidedistrict.com, purchase_dataset@livehospitality.com, purchase_dataset@watersidedistrict.com, purchase_dataset@watersidedistrict.com, purchase_dataset@watersidedistrict.com, purchase_dataset@watersidedistrict.com, purchase_dataset@livedistricts.com, purcha...	realdomain	10	0	10	Spacious bi-level pub with modern decor, featuring pub grub, tap brews, live music & rooftop seats.	true	true	4.11	3,252	{"1": 326, "2": 218, "3": 341, "4": 601, "5": 2212}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great wine list, Live music, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Late-night food, Quick bite, Small plates, Wine	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2024-08-06	2026-02-26	610	41	99	610	610	41	41	https://www.instagram.com/watersidedistva	watersidedistva	https://www.facebook.com/watersidedistrict	watersidedistrict	https://twitter.com/watersidedistva	watersidedistva	https://www.tiktok.com/@watersidedistrict	watersidedistrict	https://www.linkedin.com/company/waterside-district	waterside-district	https://www.youtube.com/channel/uc0jcbaz5pvbqtwmaopcupra	uc0jcbaz5pvbqtwmaopcupra	null	null	null	null	null	null	42,802	0.16	null	0.14	0.16	0.16	3,830	1,138	183	3,295	2.3	null	1.83	2.9	2.54	https://watersidedistrict.com/wp-content/uploads/2017/03/bth-menu-spring2019-web_compressed_compressed.pdf	https://opentable.com/restaurant/profile/1034272	https://opentable.com/restaurant/profile/1034272	2026-04-06T19:03:15.974760+00:00	32.38	0	8,804.49	55.8	189.9265	0.89	82.2	100	75.7	0.5423	null	0.7858	0.7644	0.7409	0.5538	0.398	0.1887	89.3	87	null	null	null	89.29	7.14	3.57	87.3	3.17	9.52	86.15	4.62	9.23	stable	stable	null	2.3	0.0449	2.6	28	63	65	-11.1	72.3	-100	75.9	9.5	88	100	86.5	98	1	870	1	22	21,354	24	1,041	916,805	1,311	1,084	1	481,447	104	245,972	606,289	137	384,530	571,099	173	340,603	46	788	1,541	19,199	36,473	734,279	1,460,619	734,279	0.3064	0.024	0.2574	-0.024	0.5284	0.402	0.0334	0.1719	-0.0334	0.6139	0.2443	0.0366	0.271	-0.0366	0.5148	172	103	136	481,447	588,194	245,972	0.349	0.2046	0.6699	0.1123	0.5538	39.5	0.33	655	5.9	0.5016	9.1	-0.23	3,033	-4.2	0.0407	606,289	708,720	384,530	0.1967	0.0596	0.4924	0.1689	0.398	42	0.25	845	6.9	0.5347	6.6	-0.15	2,843	-5.2	0.0076	571,099	624,936	340,603	0.2367	Average	0.1597	0.5462	0.1213	0.1887	Below Average	45	0.41	1,190	6.2	Below Average	0.4991	3.6	-0.31	2,498	-4.5	0.0432	104	137	173	524	19	competitive	0.0518	32.79	44.7	54.4	1	3,119	1,015	competitive	0.0311	1.73	32.4	67.6	0	8,362	5,098	competitive	0.0177	0.55	16.9	79.7	3.5	0.03	0.2287	-0.03	0.5571	180	181	52	821	6	0.9401	0.0744	0.9945	0.0821	0.7714	44.5	0.37	1,138	6.1	0.5177	4.1	-0.27	2,550	-4.4	0.0246	competitive	0.0177	0.72	20	78.9	1.1	0.6967	0.91	3.37	0.1306	0.6527	-0.1306	0.1331	193	194	7,855	17,978	122	0.6352	0.1584	0.9944	0.174	0.5586	58.2	1.62	1,929	23.9	0.7674	-9.6	-1.52	1,759	-22.2	-0.2251	competitive	0.0098	0.0017	0.63	0.13	0.5999	0.059	0.2307	-0.059	0.5551	791,801	41.1	0.94	531	20.4	0.4595	7.5	-0.84	3,157	0.0828	0.7225	0.326	0.987	0.3375	0.5244	217,516	0.6829	-18.7	512,321	10,256	44.5	8.8	46.7	791,802	684	48.9	3.96	429	8.3	0.3948	21.3	0.63	2,823	0.1371	0.9722	0.5681	1	0.59	0.612	20	55.51	23.41	0.6354	684	7.56	1,322	953	0.8607	8,606.54	0.22	44,722	78	0.0431	431.44	26.83	96.15	9.67	72.99	3.13	57.8	3.13	55.25	0.96	51.55	-30.9	-4.01	436	-74	-37.9	null	null	null	null	null	-0.24	196,444	-0.257	0.4	481,435	0.349	-0.34	273,693	-0.353	0.24	606,254	0.197	-0.16	151,471	-0.192	0.31	571,039	0.237	-0.11	-8	0.007	0.7	52	0.94	-0.17	5,349	-0.245	0.6	7,855	0.635	0.5423	null	null	3,252	decelerating	0.6	4.2	18	18	132	369	0.958	0.959	0.959	1	0.957	36,509	37,921	37,916	1	27	decelerating	0.3	null	80.01
MSWV42NR	Cracker Barrel Old Country Store	Food and Drink	Restaurants	American restaurant	American restaurant, Breakfast restaurant, Diner, Family restaurant, Gift shop, Lunch restaurant, Takeout Restaurant, Restaurant, Southern restaurant (US), Traditional American restaurant	3742 Crain Hwy, Waldorf, MD 20602	3742 Crain Hwy	Alexandria	Virginia	Saint Charles	null	20,602	US	true	38.608671	-76.92759	America/New_York	(301) 63-***	2	OPERATIONAL	true	true	Waldorf	true	Alexandria	Virginia	US	https	https://crackerbarrel.com/locations/states/md/waldorf/687	crackerbarrel.com/locations/states/md/waldorf/687	crackerbarrel.com	com	10,011	1998-11-09	2030-11-08	Network Solutions, LLC	purchase_dataset@wellsfargo.com, purchase_dataset@aol.com, purchase_dataset@crackerbarrel.com, purchase_dataset@crackerbarrel.com, purchase_dataset@morrispr.biz, purchase_dataset@crackerbarrel.com, purchase_dataset@okapipartners.com, purchase_dataset@saratogaproxy.com, purchase_dataset@crackerbarrel.com, purchase_datas...	realdomain	23	9	14	Homey chain restaurant serving American comfort food, with an on-site general store.	true	true	4.05	3,268	{"1": 337, "2": 209, "3": 424, "4": 1035, "5": 2351}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great coffee, Great dessert, Great tea selection	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegetarian options	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Trendy	Family-friendly, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-04-03	2026-02-25	370	42	66	370	370	42	42	https://www.instagram.com/crackerbarrel	crackerbarrel	https://www.facebook.com/crackerbarrel	crackerbarrel	https://twitter.com/crackerbarrel	crackerbarrel	https://www.tiktok.com/@crackerbarrel.com	crackerbarrel.com	https://www.linkedin.com/company/cracker-barrel	cracker-barrel	null	null	null	null	null	null	https://www.pinterest.com/crackerbarrel	crackerbarrel	367,921	0.28	null	0.34	0.28	0.28	3,251	6,133	62	566,250	17.95	null	null	5.99	18.2	https://crackerbarrel.com/menu	null	null	2026-04-06T04:19:47.554519+00:00	230.67	0	12,516.61	51.2	25.1745	1.06	81	100	75.6	0.4709	null	0.3333	0.7233	0.7317	0.1709	0.2883	0.1602	66.7	86.6	null	null	null	66.67	33.33	0	97.75	2.25	0	97.83	2.17	0	stable	declining	null	-19.9	-0.3984	-23	6	89	92	-86.5	-73.9	-100	74.3	9.5	100	100	69.8	98	3	1,497	3	21	22,516	23	1,025	960,507	1,293	1,065	3	246,006	31	181,114	342,600	98	452,035	464,512	96	571,834	49	1,540	2,447	19,199	36,473	734,279	1,460,619	734,279	0.4589	-0.0019	0.1466	0.0019	0.1867	0.6805	0.0333	0.1408	-0.0333	0.1925	0.5611	0.0434	0.2897	-0.0434	0.0436	95	30	97	246,006	276,291	181,114	0.6645	0.6257	0.7569	0.4964	0.1709	44	0.97	755	15.3	0.3754	3.8	-0.83	3,579	-13.1	0.0955	342,600	190,721	452,035	0.5411	0.7455	0.4035	0.7235	0.2883	47.8	1.4	737	23.1	0.5019	0	-1.26	3,597	-20.9	-0.031	464,512	155,046	571,834	0.3751	Strong	0.7909	0.2387	0.8205	0.1602	Average	48	1.62	637	27.6	Average	0.4831	-0.2	-1.48	3,697	-25.4	-0.0122	31	98	96	572	76	competitive	0.1606	9.55	36.7	53.3	10	2,652	1,055	competitive	0.0572	1.24	28.9	54.6	16.5	8,114	5,031	competitive	0.0668	0.3	21.1	64.2	14.7	0.0296	0.5904	-0.0296	-0.2571	100	101	293	508	9	0.8167	0.6743	0.995	0.6656	0.3808	49.5	0.41	1,692	6.6	0.7318	-1.7	-0.27	2,642	-4.4	-0.2609	competitive	0.025	2.52	2	91	7	0.8275	1.09	3.1	0.1401	0.6613	-0.1401	-0.328	100	101	4,101	8,749	127	0.8089	0.5856	0.9942	0.5846	0.4259	51.2	0.54	2,625	6.4	0.8236	-3.4	-0.4	1,709	-4.2	-0.3527	competitive	0.0162	0.0009	1.21	0.06	0.7975	0.059	0.2307	-0.059	0.1026	791,801	41.1	0.94	531	20.4	0.4595	6.7	-0.8	3,803	0.0114	0.7003	0.4169	0.9914	0.4061	0.4476	235,088	0.7026	-18.2	449,046	6,827	44.5	8.8	46.7	791,802	1,435	55.3	4.03	450	9.8	0.4987	10.3	0.52	2,818	-0.0285	0.7483	0.5816	0.9986	0.6137	0.3989	356	70.47	6.2	0.4093	1,435	6.27	1,595	4,012	1.0612	10,611.79	0.12	86,314	78	0.0304	304.14	258.02	322.58	32.68	102.04	44.65	104.17	6.24	99.01	2.64	99.01	-31.3	-3.91	1,071	-73.4	-27.3	null	null	null	null	null	0.08	-17,958	0.029	0.68	246,003	0.665	0.25	-169,869	0.23	0.56	342,592	0.541	0.28	-142,445	0.196	0.46	464,500	0.375	0.1	-11	0.01	0.83	293	0.817	0.05	1,315	-0.059	0.8	4,101	0.809	0.4709	null	null	3,268	decelerating	0.07	0.47	2	2	92	311	0.439	0.452	0.454	0.313	0.365	417,455	437,538	435,431	39	366	decelerating	-0.06	null	77.2

Top 50 Restaurant Category Dominators in Virginia, US

Free sample dataset from BeamStation

--Defensible Leaders-- Top 50 ranked high-volume restaurants.

Each venue with massive review volume. The safest bets.

Uses State Rank to find the absolute biggest players.

Top 50 Restaurant Category Dominators in Virginia, US is a weekly‑updated list that highlights the fifty highest‑volume eating establishments across the state. Each record represents a venue that has accumulated a massive number of reviews, marking it as a reliable choice for diners seeking popular spots. The dataset leverages a state‑level ranking method to isolate the absolute biggest players in each restaurant category, providing a clear view of where consumer traffic concentrates. Researchers, market analysts, and hospitality professionals can use this resource to identify leading competitors, benchmark performance, or guide site‑selection decisions. Because the file is refreshed every week, users always work with the most current snapshot of Virginia’s dominant restaurant landscape. Access the dataset directly at https://beamstation.com/datasets/120220/ for download and further analysis.

Dataset Details

Field	Value
Full dataset	50 records
Sample size	5 records
Location	Virginia
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (498 total)

Column List

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/top-50-restaurant-category-dominators-in-virginia-us-120220")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 50 records and unmasked contact data is available at:

Top 50 Restaurant Category Dominators in Virginia, US on BeamStation

License

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

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