Datasets:

beamstation
/

top-30-active-restaurant-review-whales-in-tennessee-us-652300

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	census_place 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 int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	description string	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github null	social_username_github null	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest null	social_username_pinterest null	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	first_social_post_days_min null	first_social_post_days_max null	last_social_post_days_min null	last_social_post_days_max null	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m null	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_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall null	beam_trends_score_90d_rating null	beam_trends_score_90d_review_count null	beam_trends_score_90d_beam_rating_health null	beam_trends_score_90d_beam_popularity_percentile null	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d null	beam_trends_sentiment_recommend_pct float64
CLFT3FGF	Captain D's	Food and Drink	Restaurants	Seafood restaurant	"Seafood restaurant, American restaurant, Family restaurant, Fast food restaurant, Fish & chips rest(...TRUNCATED)	1690 Union Ave, Memphis, TN 38104	1690 Union Ave	Memphis	Tennessee	Midtown	Midtown	38,104	US	true	35.136003	-90.005048	America/Chicago	(901) 27-***	2	null	true	Memphis	Tennessee	US	https	https://locations.captainds.com/ll/us/tn/memphis/1690-union-ave	locations.captainds.com/ll/us/tn/memphis/1690-union-ave	locations.captainds.com	com	10,596	1997-03-26	2029-03-27	Network Solutions, LLC	null	null	0	0	Fast-food chain serving fried fish & shrimp combo meals along with gumbo & funnel cakes.	3.61	1,096	{"1": 207, "2": 104, "3": 197, "4": 321, "5": 588}	Curbside pickup, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Quick bite, Small plates, Vegetarian options	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Quiet	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://captainds.com/our-menu	null	null	2026-03-31T09:54:34.357952+00:00	0	2.4	4.7	1,719.92	124.3	123.4719	2.28	72.2	100	61.2	0.2732	1	0.7143	0.5212	0.4233	0.1494	0.4407	0.0836	85.7	71.2	100	85.71	14.29	0	75	16.67	8.33	68.33	23.33	8.33	improving	improving	0.2857	14.5	0.291	20.4	2	7	24	60	59.2	35.1	0	50	81.9	60	114	3,400	146	1,025	25,919	1,536	47,422	1,177,506	59,997	51,234	114	537,462	63	265,398	282,444	101	205,091	509,619	101	407,518	392	2,048	3,798	14,285	28,633	724,238	1,424,284	724,238	0.2991	0.2741	0.4488	0.7259	0.2655	0.3582	0.1841	0.2821	0.8159	0.4322	0.6303	0.2117	0.5107	0.7883	0.2036	100	62	100	537,462	583,679	265,398	0.2657	0.2014	0.6383	0.2074	0.1494	61.5	3.71	492	71.8	0.366	-1.6	-0.1	604	-10.6	-0.093	282,444	318,282	205,091	0.6158	0.555	0.725	0.5273	0.4407	75.3	4.28	881	81.2	0.5589	-15.4	-0.67	215	-20	-0.2859	509,619	637,643	407,518	0.3093	Below Average	0.135	0.4494	0.0789	0.0836	Average	73.2	4.04	826	74.2	Below Average	0.4447	-13.3	-0.43	270	-13	-0.1717	63	101	101	512	57	competitive	0.0347	19.74	9.7	33.9	46.8	9.7	3,243	1,000	competitive	0.0123	1.27	1	74	25	7,736	5,032	competitive	0.0131	0.32	2	80	18	0.2483	0.6537	0.7517	0.0606	100	101	1,276	2,058	137	0.4927	0.1819	0.9461	0.2981	0.4055	78.9	4.43	1,089	85.8	0.6791	-19	-0.82	7	-24.6	-0.4061	competitive	0.01	0.13	57	43	0.5355	2.3	1.25	0.221	0.809	0.779	-0.0947	100	101	12,138	15,553	1,335	0.3421	0.1581	0.9272	0.2218	0.2933	83	4.72	1,313	93.4	0.8302	-23.1	-1.11	-217	-32.2	-0.5572	competitive	0.0083	0.0009	1	0.12	0.4624	0.2094	0.3682	0.7906	0.3461	828,388	62.9	3.88	394	76.6	0.4737	-3	-0.27	702	-0.2007	0.3329	0.1316	0.9349	0.1963	0.2594	550,604	0.4531	-15.4	717,469	53,487	24.3	58.7	7.7	9.2	828,389	1,777	57.3	4.17	323	74.3	0.3876	2.6	-0.56	773	-0.1146	0.5051	0.1306	0.9566	0.2556	0.3671	875	47.55	25.54	0.6104	1,777	1.58	6,331	818	0.172	1,719.92	0.14	69,108	63	0.019	189.93	12.03	158.73	1.51	99.01	1.72	99.01	0.99	99.01	0.69	99.01	-4.9	0.01	3	0.1	-59.5	null	null	null	null	null	-0.03	62,462	-0.083	0.36	537,461	0.266	-0.05	90,636	-0.122	0.63	282,439	0.616	-0.02	42,635	-0.056	0.3	509,610	0.309	-0.13	-244,993	-0.199	0.54	1,276	0.493	0.06	-363,416	-0.098	0.46	12,138	0.342	0.273	100	1,096	0.1	3	0.66	0.446	decelerating	0.1	0.7	3	3	14	67	0.557	0.57	0.571	0.66	0.446	331,227	345,950	344,596	14	103	decelerating	0.03	null	73.09
FERAPKXC	Burger Up	Food and Drink	Restaurants	Hamburger restaurant	Hamburger restaurant, American restaurant, Restaurant	2901 12th Ave S, Nashville, TN 37204	2901 12th Ave S	Nashville	Tennessee	Belmont-Hillsboro	Bellmont Hillsboro	37,204	US	true	36.121624	-86.790509	America/Chicago	(615) 27-***	2	Nashville-Davidson metropolitan government (balance)	true	Nashville	Tennessee	US	http	http://burger-up.com	burger-up.com	burger-up.com	com	6,284	2009-01-15	2028-01-15	GoDaddy.com, LLC	purchase_dataset@communityhospitality.com	null	1	1	"Inventive burgers featuring locally sourced patties are served in a comfy setting of reclaimed wood(...TRUNCATED)	4.41	1,090	{"1": 44, "2": 48, "3": 96, "4": 259, "5": 896}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Quick bite, Vegetar(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	3	https://www.instagram.com/burgerup	burgerup	https://www.facebook.com/burgerupnashville	burgerupnashville	https://twitter.com/burgerup	burgerup	null	null	null	null	null	null	null	null	null	null	null	null	11,377	0.2	null	0.09	0.1	0.2	3,193	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/burger-up/menu	null	null	2026-03-24T22:34:57.435091+00:00	1.66	4.92	0	1,899.15	40.4	190.2072	2.47	88.2	100	85.2	0.7149	1	0.8387	0.3257	0.6493	0.8554	0.9383	0.821	91.9	82.5	100	85.71	0	14.29	64.29	28.57	7.14	86.67	11.11	2.22	improving	improving	0.1613	9.4	0.1894	11.4	2	7	14	45	82.6	64.5	40	100	91.1	96	157	2,801	387	1,077	13,728	1,631	49,862	619,551	63,454	53,925	157	149,821	30	290,826	68,167	101	70,885	225,191	101	276,363	136	2,096	4,831	14,285	28,633	724,238	1,424,284	724,238	0.7183	0.358	0.6678	0.642	-0.059	0.7645	0.1034	0.4402	0.8966	0.1686	0.9092	0.2712	0.7223	0.7288	-0.1135	100	29	100	149,821	76,034	290,826	0.7919	0.8887	0.6038	0.9399	0.8554	69.2	4.41	474	87.2	0.6111	9.2	0	616	-2	0.1038	68,167	52,538	70,885	0.903	0.9218	0.9049	0.9069	0.9383	79.7	4.52	1,183	87.7	0.7155	-1.3	-0.11	-93	-2.5	-0.0006	225,191	95,476	276,363	0.6852	Strong	0.8547	0.6262	0.8215	0.821	Market Leader	78.9	4.51	987	87.5	Strong	0.7012	-0.5	-0.1	103	-2.3	0.0137	30	101	101	471	25	competitive	0.0735	9.23	3.4	17.2	62.1	17.2	3,704	1,370	competitive	0.0091	1.27	0	51	49	7,416	5,008	competitive	0.0109	0.32	0	59	41	0.2787	0.735	0.7213	-0.1262	100	101	340	1,544	275	0.895	0.5243	0.9166	0.6223	0.7482	81	4.62	1,299	90.5	0.7652	-2.6	-0.21	-209	-5.3	-0.0503	competitive	0.0083	0.08	39	61	0.7903	2.49	1.18	0.2305	0.8049	0.7695	-0.1961	100	101	1,625	7,599	1,409	0.91	0.5811	0.9234	0.6545	0.7811	82.7	4.72	1,312	93.3	0.8269	-4.3	-0.31	-222	-8.1	-0.112	competitive	0.0082	0.0009	1	0.12	0.8154	0.2094	0.3682	0.7906	0.2406	828,388	62.9	3.88	394	76.6	0.4737	15.5	0.53	696	0.2412	0.8831	0.5525	0.9311	0.6197	0.746	94,675	0.7983	8.6	363,712	56,538	24.3	58.7	7.7	9.2	828,389	570	60.3	3.87	418	68.1	0.3377	18.1	0.54	672	0.3772	0.942	0.6889	0.9227	0.7627	0.8313	33	56.65	32.6	0.8752	570	1.46	6,843	531	0.1898	1,898.11	0.14	69,108	63	0.019	189.84	53.99	333.33	0.83	99.01	1.19	99.01	0.69	99.01	0.68	99.01	-8	0	8	-0.3	-29.5	null	null	null	null	null	-0.02	32,875	-0.045	0.76	149,821	0.792	-0.02	24,528	-0.035	0.91	68,167	0.903	-0.04	66,125	-0.092	0.72	225,191	0.685	-0.03	-118,465	0.054	0.79	340	0.895	0.42	-373,929	0.47	0.82	1,625	0.91	0.7149	100	1,090	0.2	6	0.548	0.589	accelerating	0.2	1.4	6	6	13	56	0.774	0.782	0.782	0.548	0.589	173,580	180,528	180,244	18	72	accelerating	0.1	null	89.25
AVCWZ5LU	Henrietta Red	Food and Drink	Restaurants	Oyster bar restaurant	Oyster bar restaurant, New American restaurant	1200 4th Ave N, Nashville, TN 37208	1200 4th Ave N	Nashville	Tennessee	Germantown	Germantown	37,208	US	true	36.175962	-86.786737	America/Chicago	(615) 49-***	4	Nashville-Davidson metropolitan government (balance)	true	Nashville	Tennessee	US	http	http://henriettared.com	henriettared.com	henriettared.com	com	3,611	2016-05-11	2026-05-11	GoDaddy.com, LLC	purchase_dataset@henriettared.com	realdomain	1	1	Airy, chic spot for oysters & elevated seafood small plates, plus a separate bar for cocktails.	4.55	1,135	{"1": 39, "2": 38, "3": 56, "4": 148, "5": 918}	Outdoor seating, Onsite services, Dine-in	Great beer selection, Great cocktails, Great dessert, Great wine list	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Happy hour food, Hard liquor, Healthy options,(...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	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	purchase_dataset@	true	true	5	https://www.instagram.com/henrietta_red	henrietta_red	https://www.facebook.com/p/henrietta-red-100064165502810	henrietta-red-100064165502810	https://twitter.com/henrietta_red	henrietta_red	https://www.tiktok.com/@henriettareads	henriettareads	https://www.linkedin.com/in/chef-julia-sullivan	chef-julia-sullivan	null	null	null	null	null	null	null	null	24,053	0.27	null	null	0.27	0.27	1,303	null	null	null	null	11,600	545	2,600,000	19.74	null	11.64	14.68	16.96	https://henriettared.com/menu	https://opentable.com/restaurant/profile/1373953	https://opentable.com/restaurant/profile/1373953	2026-03-23T22:46:36.586830+00:00	3.51	7.38	0	2,269.85	24.2	190.2072	2.47	91	100	88.5	0.782	1	0.7577	0.7118	0.6683	0.6737	0.9325	0.7655	87.9	83.4	100	82.35	5.88	11.76	81.25	10.42	8.33	81.44	11.34	7.22	improving	improving	0.2423	4.5	0.0894	5.4	1	17	48	97	85	42.2	92	100	88.7	94	114	2,125	265	664	10,380	977	33,327	453,971	41,451	35,789	114	388,590	83	389,515	63,722	101	74,684	241,574	101	162,661	62	2,096	4,831	14,285	28,633	724,238	1,424,284	724,238	0.7101	0.34	0.6754	0.66	0.0958	0.5334	0.1929	0.4206	0.8071	0.3506	0.915	0.3013	0.7301	0.6987	0.0411	100	82	100	388,590	223,227	389,515	0.4654	0.6875	0.47	0.7964	0.6737	64.5	4.18	408	83	0.5368	17.6	0.37	715	5.5	0.2452	63,722	40,322	74,684	0.9089	0.9382	0.8998	0.9133	0.9325	79.8	4.54	1,169	87.9	0.7116	2.3	0.01	-46	0.6	0.0704	241,574	204,770	162,661	0.6637	Average	0.7022	0.78	0.6814	0.7655	Market Leader	78.7	4.44	1,156	85.8	Strong	0.6896	3.4	0.11	-33	2.7	0.0924	83	101	101	511	21	competitive	0.0325	26.1	6.1	26.8	58.5	8.5	2,774	1,349	competitive	0.0095	1.27	0	51	49	7,247	5,113	competitive	0.0096	0.32	0	62	38	0.2787	0.7351	0.7213	0.0361	100	101	112	1,176	219	0.9621	0.6353	0.9329	0.7212	0.845	81	4.62	1,299	90.5	0.764	1.1	-0.07	-176	-2	0.018	competitive	0.0086	0.08	39	61	0.8553	2.49	1.18	0.2393	0.8117	0.7607	-0.0405	100	101	475	5,657	914	0.9731	0.6875	0.95	0.7502	0.8607	82.9	4.72	1,306	93.3	0.829	-0.8	-0.17	-183	-4.8	-0.047	competitive	0.0085	0.0009	1	0.12	0.8805	0.2094	0.3682	0.7906	0.403	828,388	62.9	3.88	394	76.6	0.4737	19.2	0.67	729	0.3083	0.9622	0.6749	0.9488	0.7259	0.8423	30,072	0.872	11.9	262,933	41,999	24.3	58.7	7.7	9.2	828,389	451	64.2	4.4	346	82.1	0.5744	17.9	0.15	777	0.2076	0.9511	0.5556	0.9267	0.5844	0.7356	23	66.43	24.1	0.7	451	1.46	6,843	531	0.1898	1,898.4	0.14	69,108	63	0.0189	189.03	10.56	120.48	0.91	99.01	0.93	99.01	0.73	99.01	0.73	99.01	-6	0	9	0	-53.4	null	null	null	null	null	0	-8,980	0.012	0.53	388,590	0.465	-0.01	17,727	-0.027	0.92	63,722	0.909	-0.03	51,465	-0.071	0.71	241,574	0.664	0.04	-118,693	0.121	0.86	112	0.962	0.48	-375,079	0.533	0.88	475	0.973	0.782	100	1,123	0.3	9	0	1	decelerating	0.3	2.1	9	9	40	112	0.873	0.878	0.878	0	1	101,285	105,220	105,139	1	1	decelerating	-0.03	null	90.53
JFCTY2DN	Wally's Restaurant	Food and Drink	Restaurants	Southern restaurant (US)	Southern restaurant (US), Breakfast restaurant, Restaurant	1600 McCallie Ave, Chattanooga, TN 37404	1600 McCallie Ave	Chattanooga	Tennessee	Highland Park	Highland Park	37,404	US	true	35.037125	-85.278685	America/New_York	(423) 69-***	2	null	true	Chattanooga	Tennessee	US	https	https://wallysrest.com	wallysrest.com	wallysrest.com	com	9,799	1999-06-02	2027-02-13	GoDaddy.com, LLC	null	null	0	0	Homestyle Southern fare doled out in a simple, old-fashioned space with booths & counter stools.	4.57	1,197	{"1": 39, "2": 33, "3": 73, "4": 308, "5": 1069}	Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert, Great tea selection, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Healthy options, Private dining room, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Historic	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	null	null	https://www.facebook.com/wallyslbi	wallyslbi	https://twitter.com/wallysmc	wallysmc	https://www.tiktok.com/@wallysofficial	wallysofficial	null	null	https://www.youtube.com/c/wallycookseverything	wallycookseverything	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	115	55	1,016	1.74	null	null	null	0.84	https://places.singleplatform.com/wallys-restaurant-2/menu	null	null	2026-03-22T19:00:46.474296+00:00	0.06	1.37	0.4	6,065.44	108.8	216.7382	0.65	91.4	100	91.1	0.6764	0.8333	0.7481	0.6987	0.7132	0.1107	0.7627	0.1828	87.4	85.7	100	92.31	7.69	0	90.2	5.88	3.92	92.16	3.92	3.92	improving	stable	0.0852	1.7	0.0349	2	3	13	51	102	80.4	39.5	72	83	83.4	90	13	670	20	302	9,841	455	19,974	430,578	25,080	21,188	13	715,693	8	564,564	197,164	101	205,761	468,997	101	332,804	53	693	1,704	14,285	28,633	724,238	1,424,284	724,238	0.3766	0.3069	0.5073	0.1931	0.227	0.0927	0.1429	0.0361	0.3571	0.6982	0.7662	0.253	0.6163	0.247	0.118	100	7	100	715,693	709,261	564,564	0.029	0.0374	0.2328	0.0472	0.1107	51.6	3.2	286	64.8	0.343	26	1.37	905	26.2	0.333	197,164	96,562	205,761	0.7294	0.8575	0.724	0.8318	0.7627	76.9	4.46	880	86	0.6463	0.7	0.11	311	5	0.0297	468,997	570,036	332,804	0.3633	Emerging	0.2207	0.5501	0.1882	0.1828	Strong	74.6	4.16	920	77.9	Below Average	0.5151	3	0.41	271	13.1	0.1609	8	101	101	634	82	moderate	0.3732	2.23	28.6	57.1	14.3	0	3,269	1,239	competitive	0.0134	1.27	0	74	26	7,956	5,037	competitive	0.0128	0.32	0	84	16	0.3331	0.6989	0.1669	0.0354	100	101	153	316	15	0.8517	0.686	0.9864	0.7917	0.7054	79.5	4.48	1,080	86.8	0.6823	-1.9	0.09	111	4.2	-0.0063	competitive	0.0109	0.26	59	41	0.8424	0.66	4.39	0.221	0.8098	0.279	-0.0755	100	101	2,137	5,393	414	0.8825	0.7018	0.9772	0.8114	0.721	83	4.72	1,312	93.4	0.8333	-5.4	-0.15	-121	-2.4	-0.1573	competitive	0.009	0.0009	1	0.12	0.8567	0.2094	0.3682	0.2906	0.3661	828,388	62.9	3.88	394	76.6	0.4737	14.7	0.69	797	0.2023	0.8614	0.6908	0.9721	0.8012	0.6873	112,567	0.8434	14.4	249,567	22,898	24.3	58.7	7.7	9.2	828,389	706	63.8	4.28	470	78.7	0.4926	13.8	0.29	721	0.1834	0.8383	0.6355	0.9844	0.7546	0.6766	114	57.21	16.92	0.4837	706	5.52	1,811	466	0.5962	5,961.71	0.14	69,108	63	0.019	189.79	1,393.06	1,250	1.78	99.01	1.63	99.01	1.19	99.01	0.81	99.01	-3.7	0	4	0	-58.1	null	null	null	null	null	-0.03	40,815	-0.052	0.09	715,692	0.029	-0.01	44,734	-0.061	0.77	197,160	0.729	-0.05	75,679	-0.1	0.38	468,993	0.363	0.16	-241,709	0.15	0.84	153	0.852	0.46	-373,417	0.442	0.86	2,137	0.883	0.676	100	1,191	0.2	6	0	0.586	decelerating	0.2	1.4	6	6	33	114	0.774	0.782	0.782	0	0.586	173,580	180,528	180,244	4	33	decelerating	-0.13	null	74.13
4R7D3FVB	D'Bo's Riverdale	Food and Drink	Restaurants	Chicken wings restaurant	Chicken wings restaurant, Chicken restaurant, Hamburger restaurant	7050 Malco Crossing #106, Memphis, TN 38125	7050 Malco Crossing #106	Memphis	Tennessee	Burlington	Hickory Ridge-South Riverdale	38,125	US	true	35.04777	-89.828867	America/Chicago	(901) 36-***	2	null	true	Memphis	Tennessee	US	https	https://order.online/store/-26059164/?pickup=true&hidemodal=true	order.online/store/-26059164/?pickup=true&hidemodal=true	order.online	online	2,250	2020-02-01	2028-02-01	MarkMonitor Inc.	null	null	0	0	Popular restaurant doling out wings, sandwiches & other simple grub in a utilitarian space.	4.28	1,256	{"1": 121, "2": 60, "3": 65, "4": 141, "5": 895}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Cocktails, Comfort food, Quick bite, Small plates	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom	Casual, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://toasttab.com/dbosriverdale/v3	null	null	2026-03-22T11:50:45.630597+00:00	0	62.2	2.3	1,718.44	126	123.4719	2.27	85.6	100	81.1	0.5914	0.9688	0.9604	0.9172	0.8764	0.0879	0.0545	0.3852	98	93.8	100	98.21	1.19	0.6	95.97	2.68	1.34	93.87	4.98	1.15	stable	improving	0.0084	4.2	0.084	4.5	16	168	447	522	73	56.3	0	67	93.9	90	30	1,983	40	184	16,702	293	15,440	763,410	19,303	16,140	30	636,575	29	282,274	550,204	101	413,468	391,656	101	348,707	211	2,048	3,798	14,285	28,633	724,238	1,424,284	724,238	0.4739	0.2844	0.5801	0.5906	0.3703	0.263	0.2857	0.2189	0.5893	0.7315	0.2759	0.2605	0.3406	0.6145	0.6098	100	28	100	636,575	674,494	282,274	0.1339	0.0827	0.6153	0.0688	0.0879	58.3	3.46	480	66.6	0.3255	11.7	0.81	740	14.1	0.2622	550,204	650,072	413,468	0.2607	0.1259	0.4463	0.0492	0.0545	68	3.93	645	71.4	0.3988	2	0.34	575	9.3	0.1889	391,656	408,207	348,707	0.4648	Below Average	0.4314	0.5286	0.4284	0.3852	Below Average	76.4	4.31	900	82.4	Average	0.5956	-6.4	-0.04	320	-1.7	-0.0079	29	101	101	401	66	competitive	0.0832	8.91	14.3	28.6	53.6	3.6	2,963	1,145	competitive	0.0186	1.27	12	82	6	7,862	5,008	competitive	0.0134	0.32	0	82	18	0.2383	0.6563	0.6367	0.2941	100	101	591	1,274	42	0.763	0.4871	0.9837	0.6017	0.7249	78.8	4.43	1,093	85.8	0.682	-8.8	-0.16	127	-5.1	-0.0943	competitive	0.011	0.13	58	42	0.7465	2.3	1.24	0.251	0.8114	0.624	0.139	100	101	6,454	9,605	294	0.6489	0.4743	0.9841	0.5357	0.6156	83	4.72	1,310	93.4	0.8296	-13	-0.45	-90	-12.7	-0.2419	competitive	0.0092	0.0009	1	0.12	0.6971	0.2094	0.3682	0.6656	0.5822	828,388	62.9	3.88	394	76.6	0.4737	7.1	0.39	826	0.114	0.6312	0.4364	0.9766	0.4919	0.5647	302,900	0.6764	4.1	460,497	19,289	24.3	58.7	7.7	9.2	828,389	523	57.8	3.72	449	63.9	0.2666	12.2	0.55	771	0.3211	0.8123	0.6992	0.9655	0.7759	0.8257	97	53.06	31.07	0.8314	523	1.58	6,331	818	0.1727	1,726.9	0.14	69,108	63	0.019	189.57	69.14	344.83	3.44	99.01	1.79	99.01	1.22	99.01	0.85	99.01	-1	0.02	23	0.3	-41.4	null	null	null	null	null	-0.03	43,612	-0.057	0.26	636,575	0.134	-0.05	76,802	-0.102	0.28	550,204	0.261	-0.04	79,229	-0.106	0.47	391,656	0.465	0.09	-245,678	0.072	0.75	591	0.763	0.3	-369,100	0.209	0.7	6,454	0.649	0.5877	100	1,220	2.63	79	1	1	decelerating	2.63	18.43	79	79	366	527	0.996	0.996	0.996	1	1	3,684	3,807	3,804	1	1	decelerating	-1.6	null	84.13
HE5JFLXX	Old Gilman Grill	Food and Drink	Restaurants	Restaurant	Restaurant, American restaurant, Bar, Brunch restaurant, Wine bar	216 W 8th St, Chattanooga, TN 37402	216 W 8th St	Chattanooga	Tennessee	City Center	City Center/Downtown	37,402	US	true	35.046843	-85.312289	America/New_York	(423) 26-***	2	null	true	Chattanooga	Tennessee	US	https	https://oldgilmangrill.com	oldgilmangrill.com	oldgilmangrill.com	com	2,867	2018-05-25	2026-05-25	GoDaddy.com, LLC	purchase_dataset@oldgilmangrill.com	realdomain	1	1	"Cocktails are mixed tableside at this upmarket bistro & wine shop serving French & American cuisine(...TRUNCATED)	4.52	1,082	{"1": 30, "2": 40, "3": 68, "4": 141, "5": 798}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, 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, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Brunch reservations recommended, Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/oldgilmangrill	oldgilmangrill	https://www.facebook.com/oldgilmangrill	oldgilmangrill	https://twitter.com/bosoxfan82	bosoxfan82	null	null	https://www.linkedin.com/in/blake-snow-163835a4	blake-snow-163835a4	null	null	null	null	null	null	null	null	3,986	0.5	null	0.47	0.5	0.5	883	null	null	null	null	null	null	null	null	null	null	null	null	https://google.com/maps/reserve/v/dine/c/b49kamqnnpc?source=pa&opi=89978449&hl=en-us&gei=yos5annukzqgptqp1sdi6ay&sourceurl=https%3A%2F%2Fwww.google.com%2Fsearch%3Fclient%3Dsafari&rls=en&q=tock+old+gilman+grill&ie=utf-8&oe=utf-8&ihs=4	https://google.com/maps/reserve/v/dine/c/b49kamqnnpc?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/b49kamqnnpc?source=pa&opi=79508299	2026-03-22T09:56:05.227898+00:00	2.2	1.82	0.1	5,989.47	87.1	216.7382	0.65	90.4	100	87.1	0.4324	0.8333	0.7464	0.4978	0.4544	0.6768	0.6566	0.1646	87.3	72.7	100	100	0	0	84.91	1.89	13.21	80.92	4.58	14.5	improving	improving	0.0869	14.6	0.292	20.1	3	12	53	131	80.9	51.5	68	100	71.5	90	75	751	116	1,181	11,059	1,793	53,515	487,153	68,668	57,972	75	303,482	87	227,590	322,019	101	286,750	533,987	101	441,077	78	693	1,704	14,285	28,633	724,238	1,424,284	724,238	0.2852	0.3546	0.4933	0.6454	0.2281	0.6013	0.1314	0.441	0.8686	0.2804	0.6417	0.2563	0.552	0.7437	0.1694	100	86	100	303,482	331,221	227,590	0.581	0.5401	0.6897	0.7033	0.6768	66	4.04	520	81.1	0.5378	11.9	0.48	545	6	-0.1056	322,019	159,580	286,750	0.5635	0.7723	0.6155	0.7463	0.6566	74.5	4.4	787	84.4	0.6151	3.4	0.12	278	2.7	-0.1829	533,987	604,499	441,077	0.2773	Average	0.1768	0.4042	0.1318	0.1646	Average	72.1	4.11	780	76.3	Below Average	0.5049	5.8	0.41	285	10.8	-0.0727	87	101	101	580	10	competitive	0.0232	27.37	7	17.4	64	11.6	2,610	1,008	competitive	0.0134	1.27	4	78	18	7,840	5,041	competitive	0.0135	0.32	4	87	9	0.3231	0.6946	0.6769	0.0268	100	101	143	352	113	0.8605	0.6531	0.8895	0.6899	0.4079	79.5	4.48	1,079	86.7	0.683	-1.6	0.04	-14	0.4	-0.2508	competitive	0.0098	0.26	59	41	0.807	0.66	4.39	0.2205	0.8095	0.7795	-0.0881	100	101	1,951	6,029	1,958	0.8921	0.668	0.8934	0.7092	0.4397	82.9	4.72	1,317	93.3	0.8312	-5	-0.2	-252	-6.2	-0.399	competitive	0.008	0.0009	1	0.12	0.8252	0.2094	0.3682	0.7906	0.3532	828,388	62.9	3.88	394	76.6	0.4737	15	0.64	671	-0.0415	0.8696	0.6507	0.9118	0.681	0.3919	105,742	0.8166	10.5	282,711	72,294	24.3	58.7	7.7	9.2	828,389	706	63.8	4.28	470	78.7	0.4926	14.1	0.24	595	-0.0604	0.8482	0.5929	0.8794	0.6397	0.3574	106	57.21	-22.52	0.2979	706	5.52	1,811	466	0.596	5,959.67	0.14	69,108	63	0.0191	190.53	5.4	114.94	1.78	99.01	1.82	99.01	0.95	99.01	0.64	99.01	-9.3	0.01	7	0	-41	null	null	null	null	null	-0.04	48,697	-0.066	0.6	303,477	0.581	-0.04	72,244	-0.097	0.64	322,007	0.564	-0.03	39,421	-0.051	0.29	533,970	0.277	0.12	-241,719	0.159	0.81	143	0.861	0.43	-373,603	0.452	0.83	1,951	0.892	0.4322	100	1,065	0.27	8	0.634	0.778	stable	0.27	1.87	8	8	28	148	0.848	0.854	0.854	0.634	0.778	119,524	124,212	124,100	43	447	stable	0.1	null	34.69
RHH33EMD	Chili's Grill & Bar	Food and Drink	Restaurants	Restaurant	"Restaurant, American restaurant, Bar, Bar & grill, Family restaurant, Hamburger restaurant, Mexican(...TRUNCATED)	1260 N Germantown Pkwy, Cordova, TN 38016	1260 N Germantown Pkwy	Memphis	Tennessee	Cordova	Cordova-Appling	38,016	US	true	35.159565	-89.794453	America/Chicago	(901) 75-***	2	null	true	Memphis	Tennessee	US	https	https://chilis.com/locations/us/tennessee/cordova/cordova	chilis.com/locations/us/tennessee/cordova/cordova	chilis.com	com	10,490	1997-07-11	2026-07-10	CSC Corporate Domains, Inc.	"purchase_dataset@chilis.com, purchase_dataset@brinker.com, purchase_dataset@brinker.com, purchase_d(...TRUNCATED)	realdomain	6	6	Family-friendly chain serving classic Tex-Mex & American fare in a Southwestern-style setting.	3.73	1,141	{"1": 202, "2": 90, "3": 149, "4": 279, "5": 624}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	7	https://www.instagram.com/chilis	chilis	https://www.facebook.com/chilis	chilis	https://twitter.com/chilis	chilis	https://www.tiktok.com/@chilisofficial	chilisofficial	null	null	https://www.youtube.com/chilis	chilis	null	null	null	null	null	null	652,357	2.57	null	3.15	2.57	2.57	2,120	null	null	null	null	238,900	325	6,100,000	6.46	null	8.12	7.07	6.46	https://chilis.com/menu	null	null	2026-03-19T18:24:07.196305+00:00	103.04	3.23	0	1,838.46	17.6	123.4719	2.28	74.6	100	66.4	0.3276	0.875	0.5219	0.5981	0.4838	0.3014	0.1527	0.3646	76.1	74.2	100	77.27	18.18	4.55	81.67	16.67	1.67	75.61	18.7	5.69	improving	stable	0.3531	1.9	0.0381	2.6	4	22	60	123	75.9	36.8	100	100	75	84	69	3,204	89	630	24,864	908	31,724	1,134,435	39,424	34,053	69	479,065	59	300,713	462,866	101	322,797	364,490	101	368,798	365	2,048	3,798	14,285	28,633	724,238	1,424,284	724,238	0.4702	0.3204	0.5822	0.1796	-0.1715	0.4288	0.3233	0.3375	0.1767	0.0732	0.3807	0.2051	0.3935	0.2949	0.0172	100	58	100	479,065	448,924	300,713	0.344	0.3803	0.5904	0.2947	0.3014	62.8	3.9	467	73.7	0.426	13.2	-0.17	674	-7.3	-0.1016	462,866	593,132	322,797	0.3772	0.1988	0.5674	0.1301	0.1527	70.8	4.04	749	74.7	0.4644	5.2	-0.31	392	-8.3	-0.14	364,490	434,185	368,798	0.5008	Average	0.3978	0.5016	0.3907	0.3646	Below Average	76.9	4.29	876	81.8	Average	0.5889	-0.9	-0.56	265	-15.4	-0.2645	59	101	101	390	0	competitive	0.0404	18.46	5.2	36.2	51.7	6.9	3,124	1,152	competitive	0.015	1.27	3	92	5	7,278	5,029	competitive	0.0129	0.32	0	75	25	0.2383	0.6563	0.2617	-0.2456	100	101	243	1,939	89	0.9029	0.2271	0.9643	0.3539	0.4471	78.8	4.43	1,093	85.8	0.682	-2.8	-0.7	48	-19.4	-0.3576	competitive	0.0103	0.13	58	42	0.7186	2.3	1.24	0.2393	0.8085	0.2607	-0.3978	100	101	2,797	14,785	783	0.8466	0.1974	0.957	0.2783	0.3359	82.8	4.72	1,311	93.3	0.8299	-6.8	-0.99	-170	-26.9	-0.5055	competitive	0.0086	0.0009	1	0.12	0.685	0.2094	0.3682	0.2906	0.0425	828,388	62.9	3.88	394	76.6	0.4737	13.1	-0.15	747	-0.1493	0.8159	0.1659	0.9568	0.2433	0.2965	149,995	0.6632	-10.2	688,504	35,420	24.3	58.7	7.7	9.2	828,389	1,777	57.3	4.17	323	74.3	0.3876	18.7	-0.44	818	-0.0632	0.8908	0.1684	0.9713	0.3041	0.411	194	47.55	25.04	0.6042	1,777	1.58	6,331	818	0.1727	1,726.9	0.14	69,108	63	0.019	189.75	16.33	169.49	2.25	99.01	1.65	99.01	1.07	99.01	0.74	99.01	-4.9	0	21	0.1	-59	null	null	null	null	null	-0.03	58,980	-0.079	0.43	479,063	0.344	-0.05	73,796	-0.098	0.38	462,858	0.377	-0.01	21,930	-0.03	0.47	364,474	0.501	0.06	-246,026	0.211	0.72	243	0.903	0.29	-372,757	0.406	0.69	2,797	0.847	0.3244	100	1,126	0.13	4	0.715	0.564	decelerating	0.13	0.93	4	4	33	129	0.648	0.66	0.66	0.715	0.564	264,626	275,746	274,862	76	845	decelerating	-0.34	null	72.59
2UM7NWYS	Boscos Squared	Food and Drink	Restaurants	Restaurant	Restaurant, Bar & grill, Gastropub, Live music venue, Pizza restaurant	2120 Madison Ave, Memphis, TN 38104	2120 Madison Ave	Memphis	Tennessee	Midtown	Midtown	38,104	US	true	35.136934	-89.990601	America/Chicago	(901) 43-***	2	null	true	Memphis	Tennessee	US	http	http://boscosbeer.com	boscosbeer.com	boscosbeer.com	com	10,528	1997-06-03	2026-06-02	Bluehost Inc.	purchase_dataset@boscosbeer.com, purchase_dataset@boscosbeer.com, purchase_dataset@boscosbeer.com	realdomain	3	3	"Locally brewed craft beers, cask ales & wood-fired pizzas, plus Sunday jazz brunch & a large patio.(...TRUNCATED)	4.35	1,141	{"1": 64, "2": 50, "3": 100, "4": 337, "5": 914}	Outdoor seating, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Live music, Se(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/boscos_squared	boscos_squared	https://www.facebook.com/boscossquaredmemphis	boscossquaredmemphis	https://twitter.com/boscossquared	boscossquared	https://www.tiktok.com/@boscos.squared	boscos.squared	https://www.linkedin.com/in/boscosfranklin	boscosfranklin	null	null	null	null	null	null	null	null	2,111	0.23	null	0.22	0.23	0.23	978	null	null	null	null	70	19	403	3.04	null	3.38	3.31	3.04	https://boscosbeer.com/menus/lunch-dinner	https://resy.com/cities/memphis-tn-ar/venues/boscos-brewing-co	https://resy.com/cities/memphis-tn-ar/venues/boscos-brewing-co	2026-03-12T04:02:03.610484+00:00	0.33	6.45	0.1	1,769.49	24.6	123.4719	2.28	87	100	84.7	0.7002	1	0.8028	0.7115	0.7037	0.3065	0.1652	0.4076	90.1	85.2	100	100	0	0	88.37	11.63	0	86.41	12.62	0.97	improving	improving	0.1972	4.9	0.0991	5.8	1	10	43	103	82.2	51.5	92	83	89.3	70	68	1,754	88	628	15,105	905	31,588	686,993	39,266	33,904	68	416,468	52	100,951	382,642	101	312,506	345,966	101	367,936	169	2,048	3,798	14,285	28,633	724,238	1,424,284	724,238	0.5012	0.2751	0.5675	0.7249	0.2808	0.5608	0.1275	0.3007	0.8725	0.5476	0.4565	0.305	0.4898	0.695	0.3585	100	51	100	416,468	407,293	100,951	0.428	0.4362	0.8623	0.4122	0.3065	64	3.95	649	75.9	0.4276	19.2	0.4	492	8.8	0.2726	382,642	516,378	312,506	0.4835	0.2958	0.5811	0.2218	0.1652	73.1	4.13	760	76.7	0.4702	10.1	0.22	381	8	0.23	345,966	380,673	367,936	0.5251	Average	0.468	0.5027	0.4607	0.4076	Average	77.2	4.33	877	82.9	Average	0.6027	6	0.02	264	1.8	0.0975	52	101	101	314	15	competitive	0.0333	16.23	5.9	27.5	62.7	3.9	3,016	1,009	competitive	0.0148	1.27	1	83	16	7,395	5,057	competitive	0.0128	0.32	0	67	33	0.2283	0.6478	0.7717	0.2005	100	101	24	1,124	83	0.9901	0.5489	0.9663	0.6928	0.8411	78.7	4.43	1,087	85.8	0.6799	4.5	-0.08	54	-1.1	0.0203	competitive	0.0104	0.13	59	41	0.8506	2.3	1.24	0.231	0.8104	0.769	0.0379	100	101	287	8,499	799	0.9838	0.5344	0.9564	0.6377	0.7599	82.9	4.72	1,312	93.4	0.8287	0.3	-0.37	-171	-8.7	-0.1285	competitive	0.0086	0.0009	1	0.12	0.8408	0.2094	0.3682	0.7906	0.4801	828,388	62.9	3.88	394	76.6	0.4737	20.3	0.47	747	0.2265	0.9765	0.5011	0.9568	0.6048	0.7236	18,514	0.828	8.1	406,572	35,420	24.3	58.7	7.7	9.2	828,389	1,777	57.3	4.17	323	74.3	0.3876	25.9	0.18	818	0.3126	0.9882	0.5	0.9713	0.6571	0.8243	21	47.55	39.75	0.8407	1,777	1.58	6,331	818	0.1717	1,717.28	0.14	69,108	63	0.019	189.83	11.12	192.31	2.19	99.01	1.65	99.01	1.08	99.01	0.74	99.01	-3.3	0	15	0.1	-44.5	null	null	null	null	null	-0.05	138,265	-0.188	0.56	416,465	0.428	-0.04	68,487	-0.091	0.46	382,630	0.484	-0.02	23,216	-0.032	0.5	345,936	0.525	0.19	-246,245	0.299	0.85	24	0.99	0.44	-375,267	0.544	0.84	287	0.984	0.7002	100	1,141	0.27	8	0.899	0.778	stable	0.27	1.87	8	8	25	118	0.848	0.854	0.854	0.899	0.778	119,524	124,212	124,100	31	447	stable	0.07	null	87.3
2QT86FDA	Lockeland Table	Food and Drink	Restaurants	American restaurant	American restaurant, Restaurant	1520 Woodland St, Nashville, TN 37206	1520 Woodland St	Nashville	Tennessee	East Nashville	Lockeland Springs	37,206	US	true	36.176675	-86.742087	America/Chicago	(615) 22-***	3	Nashville-Davidson metropolitan government (balance)	true	Nashville	Tennessee	US	http	http://lockelandtable.com	lockelandtable.com	lockelandtable.com	com	5,236	2011-11-29	2030-11-29	GoDaddy.com, LLC	"purchase_dataset@lockelandtable.com, purchase_dataset@lockelandtable.com, purchase_dataset@lockelan(...TRUNCATED)	realdomain	3	3	Rustic, rehabbed storefront setting for Southern-accented American grub & wood-fired pizzas.	4.63	1,258	{"1": 29, "2": 24, "3": 64, "4": 173, "5": 1084}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Great beer selection, Great cocktails, Great coffee, Great dessert, Great wine list, Serves local s(...TRUNCATED)	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)	Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Dinner reservations recommended, Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/lockelandtable	lockelandtable	https://www.facebook.com/lockelandtable	lockelandtable	https://twitter.com/lockelandtable	lockelandtable	null	null	https://www.linkedin.com/company/lockeland-table	lockeland-table	null	null	null	null	null	null	null	null	18,510	0.27	null	0.13	0.27	0.27	1,115	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/lockeland-table/menu	https://resy.com/cities/nashville-tn/venues/lockeland-table	https://resy.com/cities/nashville-tn/venues/lockeland-table	2026-03-08T11:49:31.452314+00:00	2.7	11.02	0	1,901.55	29.2	190.2072	2.47	92.6	100	91.3	0.8267	0.8333	0.6581	0.6962	0.7139	0.7783	0.9192	0.7799	82.9	85.7	100	85.71	14.29	0	85.19	12.96	1.85	85.48	10.48	4.03	improving	declining	0.1752	-2.8	-0.0558	-3.3	3	21	54	124	79.4	54.5	48	83	85.6	62	54	1,748	127	183	8,426	291	15,323	366,554	19,158	16,010	54	223,212	70	425,421	106,160	101	75,255	199,629	101	127,879	38	2,096	4,831	14,285	28,633	724,238	1,424,284	724,238	0.7738	0.2581	0.6704	0.6419	-0.0123	0.6414	0.3144	0.4422	0.5856	0.2159	0.8821	0.2447	0.6947	0.6553	-0.0366	100	69	100	223,212	143,867	425,421	0.6905	0.7962	0.4213	0.9269	0.7783	67.5	4.3	384	86.6	0.5749	12.6	0.33	874	4.7	0.2518	106,160	64,704	75,255	0.8524	0.9047	0.899	0.8739	0.9192	78.8	4.5	1,167	86.9	0.7033	1.3	0.13	91	4.4	0.1234	199,629	136,818	127,879	0.7193	Average	0.7933	0.827	0.763	0.7799	Market Leader	79.2	4.48	1,220	86.8	Strong	0.6927	0.9	0.15	38	4.5	0.134	70	101	101	824	85	competitive	0.0454	21.96	5.8	20.3	53.6	20.3	3,687	1,065	competitive	0.0107	1.27	0	60	40	6,857	5,098	competitive	0.0102	0.32	0	55	45	0.2797	0.7362	0.6203	-0.0781	100	101	228	1,006	99	0.9296	0.6884	0.9703	0.7937	0.8899	81	4.62	1,298	90.5	0.7635	-0.9	0.01	-40	0.8	0.0632	competitive	0.0096	0.08	39	61	0.8694	2.49	1.18	0.232	0.8094	0.668	-0.1513	100	101	1,048	4,646	247	0.9415	0.7419	0.9867	0.8181	0.9036	83	4.72	1,312	93.4	0.8313	-2.9	-0.09	-54	-2.1	-0.0046	competitive	0.0095	0.0009	1	0.12	0.8952	0.2094	0.3682	0.6906	0.2899	828,388	62.9	3.88	394	76.6	0.4737	17.2	0.75	864	0.353	0.9247	0.7346	0.9799	0.8086	0.8945	60,555	0.8842	14.7	213,838	16,631	24.3	58.7	7.7	9.2	828,389	2,455	60.6	4.23	390	76.9	0.4639	19.5	0.4	868	0.3628	0.9222	0.6699	0.9666	0.7832	0.8822	187	55.75	36.04	0.8712	2,455	1.46	6,843	531	0.1896	1,896.43	0.14	69,108	63	0.019	189.89	20.57	142.86	1.14	99.01	1.04	99.01	0.92	99.01	0.9	99.01	-9.1	0	9	0	-43.6	null	null	null	null	null	0.04	-54,991	0.075	0.64	223,211	0.691	-0.03	50,941	-0.071	0.88	106,154	0.852	-0.05	69,767	-0.097	0.77	199,617	0.719	0.05	-118,577	0.088	0.87	228	0.93	0.5	-374,506	0.501	0.9	1,048	0.942	0.8267	100	1,258	0.43	13	0.838	0.868	stable	0.43	3.03	13	13	43	139	0.929	0.932	0.932	0.838	0.868	59,136	61,460	61,468	16	71	stable	-0.07	null	91.79
5EN34KT2	Hog & Hominy	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Cocktail bar, Pizza restaurant, Restaurant	707 W Brookhaven Cir, Memphis, TN 38117	707 W Brookhaven Cir	Memphis	Tennessee	East Memphis	East Memphis-Colonial-Yorkshire	38,117	US	true	35.11268	-89.890846	America/Chicago	(901) 77-***	2	null	true	Memphis	Tennessee	US	http	http://hogandhominy.com	hogandhominy.com	hogandhominy.com	com	5,188	2012-01-16	2027-01-16	NetEarth One, Inc.	purchase_dataset@enjoyam.com, purchase_dataset@enjoyam.com, purchase_dataset@enjoyam.com	null	3	3	Lively restaurant & bar serving Southern-influenced Italian dishes & creative cocktails.	4.44	1,117	{"1": 48, "2": 41, "3": 70, "4": 207, "5": 884}	Outdoor seating, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great wine list, (...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy, Upscale	College students, Groups, Tourists	"Brunch reservations recommended, Dinner reservations recommended, Accepts reservations, Usually a w(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/hogandhominy	hogandhominy	https://www.facebook.com/hogandhominy	hogandhominy	https://twitter.com/hogandhominy	hogandhominy	null	null	https://www.linkedin.com/in/jeff-phillips-140701296	jeff-phillips-140701296	null	null	null	null	null	null	null	null	24,732	0.52	null	0.16	0.49	0.49	2,221	null	null	null	null	null	null	null	null	null	null	null	null	https://hogandhominy.com/menu	https://hogandhominy.com/reservations-3	https://hogandhominy.com/reservations-3	2026-03-03T06:31:11.344840+00:00	3.91	10.48	0	1,719.58	30.7	123.4719	2.28	88.8	100	86.7	0.7383	0.75	0.8858	0.8194	0.7549	0.3485	0.2065	0.2878	94.3	87.7	100	95	0	5	89.8	2.04	8.16	87.38	4.85	7.77	declining	improving	-0.1358	6.6	0.1309	7.5	2	20	49	103	80.5	54.5	60	83	93.1	66	93	1,486	118	841	12,980	1,220	39,363	583,470	49,140	42,357	93	498,184	86	280,887	353,397	101	239,646	421,788	101	343,007	118	2,048	3,798	14,285	28,633	724,238	1,424,284	724,238	0.4267	0.2854	0.5208	0.5479	0.3576	0.4366	0.2546	0.3836	0.5787	0.4948	0.4898	0.2778	0.5178	0.5555	0.3606	100	85	100	498,184	424,168	280,887	0.3182	0.4137	0.6173	0.4409	0.3485	62.4	3.93	481	76.4	0.4406	18.8	0.51	636	10.3	0.2975	353,397	546,062	239,646	0.5218	0.2584	0.6787	0.1909	0.2065	73.8	4.1	838	76.1	0.4872	7.4	0.34	279	10.6	0.2509	421,788	493,691	343,007	0.4246	Average	0.3198	0.5364	0.2983	0.2878	Average	75.8	4.24	907	80.2	Average	0.5615	5.4	0.2	210	6.5	0.1766	86	101	101	505	20	competitive	0.0266	27.06	10.6	17.6	64.7	7.1	3,404	1,035	competitive	0.0131	1.27	3	83	14	8,173	5,001	competitive	0.0122	0.32	0	80	20	0.2399	0.6449	0.5934	0.2335	100	101	61	966	105	0.9746	0.6108	0.9576	0.7432	0.8827	78.8	4.43	1,083	85.8	0.6766	2.4	0.01	34	0.9	0.0615	competitive	0.0102	0.13	58	42	0.8604	2.3	1.24	0.2205	0.8045	0.6128	0.0739	100	101	653	7,154	1,065	0.9632	0.6056	0.9418	0.6991	0.811	82.8	4.72	1,312	93.3	0.8267	-1.6	-0.28	-195	-6.6	-0.0886	competitive	0.0084	0.0009	1	0.12	0.8495	0.2094	0.3682	0.6239	0.5102	828,388	62.9	3.88	394	76.6	0.4737	18.3	0.56	723	0.2644	0.947	0.5787	0.946	0.6676	0.7802	42,345	0.8362	10.1	341,539	44,364	24.3	58.7	7.7	9.2	828,389	1,777	57.3	4.17	323	74.3	0.3876	23.9	0.27	794	0.3505	0.9702	0.5693	0.964	0.7162	0.8682	51	47.55	42.81	0.9009	1,777	1.58	6,331	818	0.1711	1,710.68	0.14	69,108	63	0.019	189.81	7.08	116.28	1.73	99.01	1.48	99.01	1.04	99.01	0.71	99.01	-6	-0.01	17	-0.3	-40.4	null	null	null	null	null	-0.04	73,601	-0.099	0.44	498,183	0.318	-0.04	61,419	-0.082	0.49	353,395	0.522	-0.04	61,754	-0.083	0.43	421,786	0.425	0.2	-246,208	0.283	0.86	61	0.975	0.45	-374,901	0.523	0.85	653	0.963	0.7381	100	1,117	0.43	13	1	0.799	stable	0.43	3.03	13	13	42	116	0.929	0.932	0.932	1	0.799	59,136	61,460	61,468	1	42	stable	0.03	null	90.36

Top 30% Active Restaurant Review Whales in Tennessee, US

Free sample dataset from BeamStation

--High-Volume, Active targets--\n\nPopular restaurants sitting in the Top 10% of their local market for proven foot traffic and review volume within the last 30 days and a market scope of 10km. These are the highest-velocity, actively transacting accounts for payment processing, POS systems, and supply chain sales. Validated by an "Active Heartbeat" signal.\n\nThis dataset contains 1,340 records of the top 30% active restaurant review whales in Tennessee, US. Updated weekly, it provides a focused view of high‑traffic dining establishments that consistently generate strong review volume and foot traffic, making them ideal targets for vendors offering payment processing solutions, point‑of‑sale systems, and supply chain services. The geographic scope is limited to Tennessee, ensuring relevance for regional sales and marketing efforts. Users such as sales teams, business development analysts, and market researchers can leverage this list to prioritize outreach, tailor pitches, and identify high‑potential partners in the restaurant sector.

Dataset Details

Field	Value
Full dataset	1,340 records
Sample size	10 records
Location	Tennessee
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (484 total)

Column List

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/top-30-active-restaurant-review-whales-in-tennessee-us-652300")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 1,340 records and unmasked contact data is available at:

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

License

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

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