Datasets:

beamstation
/

all-restaurants-in-columbia-metro-south-carolina-us-192219

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 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	description string	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github string	social_username_github string	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_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_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
TVXD4FH5	Applebee's Grill + Bar	Food and Drink	Restaurants	Restaurant	"Restaurant, American restaurant, Bar & grill, Diner, Family restaurant, Hamburger restaurant, Steak(...TRUNCATED)	4505 Devine St, Columbia, SC 29205	4505 Devine St	Columbia	South Carolina	null	Hampton-Wildcat	29,205	US	true	33.991037	-80.974956	America/New_York	(803) 78-***	2	null	true	Columbia	South Carolina	US	https	https://restaurants.applebees.com/en-us/sc/columbia/4505-devine-street-85047	restaurants.applebees.com/en-us/sc/columbia/4505-devine-street-85047	restaurants.applebees.com	com	11,212	1995-07-20	2026-07-19	MarkMonitor Inc.	purchase_dataset@applemetro.com	null	1	1	Full-service chain bar & grill providing hearty American eats in an informal setting.	2.62	1,016	{"1": 522, "2": 217, "3": 292, "4": 381, "5": 739}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Great tea selection, 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)	Breakfast, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/applebees	applebees	https://www.facebook.com/applebees	applebees	https://twitter.com/applebees	applebees	https://www.tiktok.com/@applebees	applebees	null	null	https://www.youtube.com/user/applebeeing	applebeeing	null	null	null	null	null	null	641,043	1.32	null	0.21	1.37	1.32	2,466	null	null	null	null	56,866	479	496,969	2.07	null	0.22	2.02	2.07	https://applebees.com/en/menu	https://google.com/maps/reserve/v/dine/c/mcps7xfzxtq?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/mcps7xfzxtq?source=pa&opi=79508299	2026-03-30T17:16:02.181567+00:00	469.28	0.53	0	8,163.99	113.5	270.7775	1.9	52.4	100	33.7	-0.2521	null	0	-0.1249	-0.4477	0.2158	0.4544	0.3872	50	27.6	null	null	null	50	50	0	38.89	55.56	5.56	24.29	70	5.71	stable	improving	null	22.4	0.4477	81.2	0	2	18	70	58.5	45.1	80	83	46.6	58	155	2,032	267	1,700	22,619	2,759	93,815	1,322,863	127,724	101,845	155	469,237	37	219,861	322,019	101	303,850	435,942	101	398,473	558	916	1,966	10,620	21,572	724,238	1,424,284	724,238	0.4527	0.2304	0.509	-0.2304	-0.509	0.4414	0.2589	0.2667	-0.2589	-0.2667	0.5524	0.3365	0.4828	-0.3365	-0.4828	100	36	100	469,237	512,741	219,861	0.3572	0.295	0.7002	0.2702	0.2158	63	3.82	526	73.2	0.3957	-3.8	-1.2	490	-39.5	-0.6478	322,019	362,026	303,850	0.5635	0.4973	0.5927	0.5056	0.4544	74.5	4.25	769	80.9	0.5626	-15.3	-1.63	247	-47.2	-0.8147	435,942	351,065	398,473	0.4062	Average	0.5061	0.4615	0.5021	0.3872	Average	75.5	4.35	838	83.5	Average	0.5962	-16.3	-1.73	178	-49.8	-0.8483	37	101	101	261	38	competitive	0.0509	11.46	8.3	16.7	69.4	5.6	3,499	1,104	competitive	0.013	1.27	0	1	80	19	6,795	5,112	competitive	0.012	0.32	0	0	84	16	0.2357	0.6139	-0.2357	-0.6139	100	101	805	1,244	224	0.3671	0.0251	0.8251	0.018	0.0204	77.9	4.41	1,093	85.1	0.6393	-18.7	-1.79	-77	-51.4	-0.8914	competitive	0.0092	0.27	0	64	36	0.4019	1.92	5.7	0.2979	0.7841	-0.2979	-0.7841	100	101	9,867	14,182	2,372	0.3164	0.021	0.8352	0.0198	0.0139	82	4.67	1,145	92.1	0.7805	-22.8	-2.05	-129	-58.4	-1.0326	competitive	0.0088	0.0012	1	0.16	0.3834	0.2094	0.3682	-0.2094	-0.3682	828,388	62.9	3.88	394	76.6	0.4737	-3.7	-1.26	622	-0.7258	0.3175	0.0185	0.8698	0.0189	0.0116	563,570	0.3935	-42.9	812,887	107,322	24.3	58.7	7.7	9.2	828,389	888	60.8	4.13	417	74.8	0.4048	-1.6	-1.51	599	-0.6569	0.372	0.0192	0.8399	0.0158	0.0135	556	53.11	-14.3	0.3461	888	7.32	1,366	373	0.7998	7,998.42	0.2	51,184	62	0.0224	223.71	25.95	270.27	1.7	99.01	1.43	99.01	0.85	99.01	0.77	99.01	-12.6	0	5	-0.1	-42.6	null	null	null	null	null	-0.09	138,274	-0.186	0.44	469,235	0.357	-0.05	79,943	-0.107	0.55	321,993	0.564	-0.05	93,382	-0.125	0.45	435,887	0.406	-0.24	-262,407	-0.306	0.4	805	0.367	0.19	-577,202	0.111	0.38	9,867	0.316	-0.2521	null	null	1,016	0.1	3	0.48	0.477	stable	0.1	0.7	3	3	11	87	0.557	0.57	0.571	0.48	0.477	331,227	345,950	344,596	127	894	stable	0.03	null	38.81
RS7MTGJM	Applebee's Grill + Bar	Food and Drink	Restaurants	Restaurant	"Restaurant, American restaurant, Bar & grill, Diner, Family restaurant, Hamburger restaurant, Steak(...TRUNCATED)	437 Killian Rd, Columbia, SC 29203	437 Killian Rd	Columbia	South Carolina	Blythewood	null	29,203	US	true	34.138752	-80.954768	America/New_York	(803) 73-***	2	null	true	Columbia	South Carolina	US	https	https://restaurants.applebees.com/en-us/sc/columbia/437-killian-rd-78036	restaurants.applebees.com/en-us/sc/columbia/437-killian-rd-78036	restaurants.applebees.com	com	11,212	1995-07-20	2026-07-19	MarkMonitor Inc.	purchase_dataset@applemetro.com	null	1	1	Full-service chain bar & grill providing hearty American eats in an informal setting.	3.11	1,021	{"1": 371, "2": 146, "3": 234, "4": 411, "5": 700}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Great tea selection, 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)	Breakfast, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	3	https://www.instagram.com/applebees	applebees	https://www.facebook.com/applebees	applebees	null	null	null	null	null	null	https://www.youtube.com/user/applebeeing	applebeeing	null	null	null	null	null	null	641,043	1.32	null	0.21	1.37	1.32	2,466	null	null	null	null	null	null	null	null	null	null	null	null	https://applebees.com/en/menu	https://google.com/maps/reserve/v/dine/c/zrvfi1agfbw?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/zrvfi1agfbw?source=pa&opi=79508299	2026-03-30T17:15:39.414218+00:00	469.28	1.23	0	8,104	189.1	270.7775	1.9	62.2	100	48.6	-0.0107	null	0.25	-0.2569	-0.1072	0.0756	0.0326	0.0792	62.5	44.6	null	null	null	62.5	37.5	0	36.67	63.33	0	41.94	53.23	4.84	stable	improving	null	17.9	0.3572	40.1	0	8	30	62	63.7	50.5	64	83	58.7	58	145	1,919	256	1,647	21,688	2,676	91,329	1,278,994	123,706	99,183	145	453,961	21	142,929	691,589	66	560,404	564,680	101	396,363	522	916	1,966	10,620	21,572	724,238	1,424,284	724,238	0.2679	0.2208	0.3213	-0.2208	-0.2102	0.4277	0.2198	0.2957	-0.2198	-0.1846	0.1166	0.2019	0.2784	-0.2019	-0.1673	100	20	65	453,961	648,016	142,929	0.3775	0.1172	0.805	0.057	0.0756	63.3	3.56	596	65.7	0.3141	0.4	-0.45	425	-17.1	-0.3262	691,589	716,838	560,404	0.0737	0.0403	0.25	0.0298	0.0326	61.9	3.66	473	69.7	0.3678	1.8	-0.55	548	-21.1	-0.3799	564,680	654,767	396,363	0.2364	Average	0.1131	0.4646	0.0658	0.0792	Emerging	70.4	3.99	841	73.5	Below Average	0.4401	-6.7	-0.88	180	-24.9	-0.4522	21	66	101	355	46	competitive	0.0789	6.37	5	25	60	10	3,567	1,200	competitive	0.0322	0.83	7.7	32.3	55.4	4.6	7,607	5,422	competitive	0.012	0.32	0	7	88	5	0.2357	0.6139	-0.2357	-0.5028	100	101	644	1,171	214	0.4949	0.0776	0.8322	0.0698	0.0596	77.9	4.41	1,093	85.1	0.6393	-14.2	-1.3	-72	-36.5	-0.6514	competitive	0.0093	0.27	0	64	36	0.4709	1.92	5.7	0.2979	0.7841	-0.2979	-0.673	100	101	8,202	13,615	2,295	0.4298	0.0587	0.8408	0.0569	0.0462	82	4.67	1,145	92.1	0.7805	-18.3	-1.56	-124	-43.5	-0.7926	competitive	0.0088	0.0012	1	0.16	0.4418	0.2094	0.3682	-0.2094	-0.2571	828,388	62.9	3.88	394	76.6	0.4737	0.8	-0.77	627	-0.4858	0.4291	0.0484	0.8732	0.0454	0.0355	470,557	0.4481	-28	787,585	104,472	24.3	58.7	7.7	9.2	828,389	888	60.8	4.13	417	74.8	0.4048	2.9	-1.02	604	-0.4169	0.4882	0.0541	0.8478	0.0451	0.0361	455	53.11	-3.31	0.3867	888	7.32	1,366	373	0.7998	7,998.42	0.2	51,184	62	0.0224	223.71	62.32	476.19	10.34	151.52	1.44	99.01	0.86	99.01	0.78	99.01	-12.4	0	4	0	-38	null	null	null	null	null	-0.11	189,719	-0.257	0.43	453,960	0.378	-0.02	29,144	-0.037	0.12	691,588	0.074	-0.05	76,742	-0.101	0.27	564,676	0.236	-0.18	-262,568	-0.178	0.47	644	0.495	0.26	-578,867	0.224	0.44	8,202	0.43	-0.0121	null	null	1,021	0.23	7	0.75	0.756	stable	0.23	1.63	7	7	25	76	0.816	0.822	0.822	0.75	0.756	142,983	148,636	148,433	58	405	stable	0.06	null	49.8
SRJ4JKGZ	Prince House Of Pizza	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	135 Blythewood Rd, Blythewood, SC 29016	135 Blythewood Rd	Columbia	South Carolina	Blythewood	null	29,016	US	true	34.212868	-80.977478	America/New_York	(803) 54-***	2	null	true	Columbia	South Carolina	US	https	https://princehouseofpizzablythewood.com	princehouseofpizzablythewood.com	princehouseofpizzablythewood.com	com	236	2025-08-07	2026-08-07	GoDaddy.com, LLC	null	null	0	0	null	4.31	417	{"1": 27, "2": 16, "3": 28, "4": 72, "5": 273}	Outdoor seating, Curbside pickup, 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, Coffee, Comfort food, Quick bite, Small plates, Vegetarian options, Wine	Lunch, Dinner, Catering, Dessert, Seating, Table service	Restroom	Casual, Quiet	Groups, Tourists	Accepts reservations	Checks, 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://doordash.com/store/prince-house-of-pizza-blythewood-1341815/?event_type=autocomplete&pickup=false	null	null	2026-03-28T13:25:19.142762+00:00	0	0.18	4.7	7,998.42	567	270.7775	1.91	86.2	87.4	82.7	0.6664	0.5	0.8172	0.8393	0.6875	0.0976	0.9336	0.021	90.9	84.4	100	0	0	100	0	0	100	0	0	88.33	10	1.67	declining	improving	-0.3172	6.5	0.1297	7.7	1	9	21	60	62.2	27.4	0	33	90	58	384	983	722	4,339	12,273	7,801	264,675	736,302	397,995	284,295	384	483,906	24	230,186	659,598	6	691,193	699,718	77	619,348	213	916	1,966	10,620	21,572	724,238	1,424,284	724,238	0.0821	0.1187	0.2495	0.3813	0.5677	0.3844	0.1232	0.1861	0.3768	0.6311	0.3138	0.4	0.4	0.1	0.4172	76	23	5	483,906	626,276	230,186	0.3374	0.1455	0.6861	0.0753	0.0976	62.7	3.62	518	67	0.3335	0.2	0.69	-101	15.7	0.3329	659,598	127,059	691,193	0.1158	0.816	0.0756	0.8957	0.9336	63.8	4.43	295	87.4	0.7124	-0.9	-0.12	122	-4.7	-0.046	699,718	714,200	619,348	0.0553	Below Average	0.0358	0.1642	0.0216	0.021	Below Average	60.5	3.62	421	69	Emerging	0.3388	2.4	0.69	-4	13.7	0.3276	24	6	77	376	24	competitive	0.0338	7.32	4.3	30.4	65.2	0	2,606	1,630	concentrated	0.2206	0.06	0	40	60	0	8,701	5,071	competitive	0.0129	0.24	7.9	35.5	52.6	3.9	0.2357	0.6139	0.2643	0.2033	100	101	666	571	536	0.4784	0.5451	0.5796	0.6361	0.7733	77.9	4.41	1,093	85.1	0.6393	-15	-0.1	-676	-2.4	0.0271	competitive	0.0038	0.27	0	64	36	0.5288	1.92	5.7	0.2979	0.7841	0.2021	0.0331	100	101	8,550	7,049	6,220	0.4083	0.5069	0.5706	0.5846	0.722	82	4.67	1,145	92.1	0.7805	-19.1	-0.36	-728	-9.4	-0.1141	competitive	0.0036	0.0012	1	0.16	0.4865	0.2094	0.3682	0.2906	0.449	828,388	62.9	3.88	394	76.6	0.4737	0	0.43	23	0.1927	0.4068	0.4673	0.6346	0.5447	0.6729	489,118	0.4933	6.1	434,851	302,240	24.3	58.7	7.7	9.2	828,389	888	60.8	4.13	417	74.8	0.4048	2.1	0.18	0	0.2616	0.4724	0.4927	0.5874	0.593	0.7531	469	53.11	34.84	0.823	888	7.32	1,366	373	0.7998	7,998.42	0.2	51,184	62	0.0224	223.71	11.44	416.67	486.8	1,666.67	1.65	129.87	0.14	99.01	0.13	99.01	-0.9	0	1	0	-36.5	null	null	null	null	null	-0.11	176,927	-0.239	0.38	483,905	0.337	-0.01	23,093	-0.029	0.31	659,597	0.116	-0.02	26,056	-0.033	0.08	699,716	0.055	-0.12	-262,546	-0.195	0.53	666	0.478	0.31	-578,519	0.203	0.49	8,550	0.408	0.6664	100	0	417	0.03	1	0.19	0.215	decelerating	0.03	0.23	1	1	13	68	0.281	0.292	0.294	0.19	0.215	528,654	556,970	554,104	71	420	decelerating	-0.14	null	87.95
NXL55NVQ	Teriyaki Madness	Food and Drink	Restaurants	Asian fusion restaurant	"Asian fusion restaurant, Asian restaurant, Caterer, Chicken restaurant, Gluten-free restaurant, Jap(...TRUNCATED)	942 Harden St, Columbia, SC 29205	942 Harden St	Columbia	South Carolina	Midtown - Downtown	Martin Luther King	29,205	US	true	34.00322	-81.017513	America/New_York	(803) 70-***	2	null	true	Columbia	South Carolina	US	https	https://teriyakimadness.com/locations/sc-columbia	teriyakimadness.com/locations/sc-columbia	teriyakimadness.com	com	8,008	2004-04-27	2027-02-05	GoDaddy.com, LLC	"purchase_dataset@teriyakimadness.com, purchase_dataset@teriyakimadness.com, purchase_dataset@teriya(...TRUNCATED)	realdomain	8	8	Cheery counter-serve branch doling out rice & noodle bowls with Asian-style proteins & veggies.	4.41	221	{"1": 21, "2": 8, "3": 4, "4": 13, "5": 184}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Healthy options, Quick bite, Vegan options, Vegetarian options	Lunch, Dinner, Catering, Dessert, Seating	Restroom	Casual, Quiet, Trendy	College students, Family-friendly, LGBTQ+ friendly, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs	true	purchase_dataset@	true	true	7	https://www.instagram.com/teriyakimadness.eastharlem	teriyakimadness.eastharlem	https://www.facebook.com/tmad186	tmad186	https://twitter.com/teriyakimad	teriyakimad	https://www.tiktok.com/@teriyaki.madness	teriyaki.madness	https://www.linkedin.com/company/teriyaki-madness	teriyaki-madness	https://www.youtube.com/user/teriyakimadness	teriyakimadness	null	null	null	null	https://www.pinterest.com/teriyakimadness	teriyakimadness	77	0.11	0	0.05	0.11	0.11	330	null	null	null	null	30,200	163	281,300	0.49	null	0.07	0.31	0.35	https://order.teriyakimadness.com/menu/five-points	null	null	2026-03-28T10:07:40.919114+00:00	22.11	4.04	0	8,037.61	80.9	270.7775	1.92	88.2	78.2	84.6	0.7002	1	0.8889	0.9234	0.7731	0.4553	0.7027	0.1998	94.4	88.7	100	0	0	94.44	5.56	0	96.51	3.49	0	88.65	10.64	0.71	improving	improving	0.1111	5.7	0.1158	6.4	3	18	86	141	81.4	73.3	72	83	92.5	58	498	816	980	5,798	10,536	10,941	370,718	625,413	587,709	398,190	498	453,961	69	411,674	213,164	101	241,307	504,493	101	366,336	178	916	1,966	10,620	21,572	724,238	1,424,284	724,238	0.3412	0.3325	0.3832	0.6675	0.5298	0.445	0.223	0.2617	0.777	0.6513	0.7222	0.2479	0.5585	0.7521	0.3545	100	68	100	453,961	331,221	411,674	0.3775	0.5401	0.4399	0.5273	0.4553	63.3	4.04	393	77.9	0.4717	18.8	0.37	-172	6.7	0.2192	213,164	149,065	241,307	0.7081	0.7867	0.6764	0.7902	0.7027	76.6	4.41	836	85.2	0.6277	5.5	0	-615	-0.6	0.0632	504,493	577,901	366,336	0.3162	Average	0.2107	0.5049	0.1921	0.1998	Strong	73.4	4.15	879	78	Below Average	0.524	8.7	0.26	-658	6.6	0.1669	69	101	101	470	0	competitive	0.0082	21.65	8.8	26.5	55.9	8.8	2,673	1,025	competitive	0.0026	1.27	0	0	73	27	7,879	5,003	competitive	0.0025	0.32	0	0	88	12	0.2357	0.6139	0.7643	0.2991	100	101	34	493	695	0.9725	0.6094	0.4541	0.6808	0.7992	77.9	4.41	1,093	85.1	0.6393	4.2	0	-872	-0.5	0.0516	competitive	0.002	0.27	0	64	36	0.7081	1.92	5.7	0.2979	0.7841	0.7021	0.1289	100	101	333	5,873	8,283	0.976	0.5873	0.4274	0.6375	0.7524	82	4.67	1,145	92.1	0.7805	0.1	-0.26	-924	-7.5	-0.0896	competitive	0.0019	0.0012	1	0.16	0.6948	0.2094	0.3682	0.7906	0.5448	828,388	62.9	3.88	394	76.6	0.4737	19.2	0.53	-173	0.2172	0.9622	0.5525	0.4876	0.6011	0.7095	30,072	0.6969	8	363,712	423,661	24.3	58.7	7.7	9.2	828,389	888	60.8	4.13	417	74.8	0.4048	21.3	0.28	-196	0.2861	0.9763	0.566	0.4667	0.637	0.7835	21	53.11	32.17	0.7542	888	7.32	1,366	373	0.7998	7,998.42	0.2	51,184	62	0.0224	223.71	0.67	144.93	0.07	99.01	0.06	99.01	0.04	99.01	0.04	99.01	5.9	0.01	9	0.2	24.6	null	null	null	null	null	-0.02	61,031	-0.082	0.45	453,960	0.378	-0.04	77,174	-0.105	0.72	213,163	0.708	-0.05	92,907	-0.123	0.34	504,492	0.316	0.06	-263,178	0.299	0.71	34	0.973	0.52	-586,736	0.77	0.69	333	0.976	0.6909	100	0	221	0.77	23	1	1	accelerating	0.77	5.37	23	23	49	162	0.971	0.972	0.972	1	1	25,602	26,553	26,546	1	1	accelerating	0.44	null	85.28
S3JMDPK3	La Isla Bonita Restaurante	Food and Drink	Restaurants	Puerto Rican restaurant	Puerto Rican restaurant	1701 Percival Rd, Columbia, SC 29223	1701 Percival Rd	Columbia	South Carolina	null	Woodfield	29,223	US	true	34.048503	-80.92883	America/New_York	(803) 56-***	2	Woodfield	true	Columbia	South Carolina	US	https	https://myqrcode.mobi/2c85cec5	myqrcode.mobi/2c85cec5	myqrcode.mobi	mobi	null	null	null	null	"purchase_dataset@saint-timothy.org, purchase_dataset@boricuaspot.com, purchase_dataset@villacastrio(...TRUNCATED)	null	19	19	Cozy outpost for Puerto Rican cuisine serving homestyle cooking in a down-to-earth atmosphere.	4.62	1,131	{"1": 48, "2": 24, "3": 65, "4": 208, "5": 1162}	Outdoor seating, No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great dessert, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Wine(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	3	null	null	null	null	https://twitter.com/myqrcodemobi	myqrcodemobi	null	null	https://www.linkedin.com/company/my-qr-code	my-qr-code	null	null	null	null	null	null	https://www.pinterest.com/britnirommerealestate	britnirommerealestate	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://laislabonitasc.dine.online	null	null	2026-03-25T09:16:30.134464+00:00	0	0.88	0.8	7,998.42	188.4	270.7775	1.9	92.4	100	91.6	0.5013	null	0.7528	0.5568	0.3996	0.9001	0.1353	0.3343	87.6	70	null	null	null	100	0	0	90.91	4.55	4.55	79.41	16.18	4.41	stable	improving	null	17.6	0.3532	25.1	0	6	22	68	77.2	48.5	24	100	69.9	96	38	516	56	441	6,593	636	34,568	377,838	43,026	37,130	38	704,465	7	635,375	516,375	101	342,919	448,397	101	403,018	95	916	1,966	10,620	21,572	724,238	1,424,284	724,238	0.4025	0.3131	0.4558	0.1869	0.3081	0.0927	0	0.2292	0.5	0.5347	0.3417	0.254	0.3463	0.246	0.4176	100	6	100	704,465	651,172	635,375	0.044	0.113	0.1372	0.2374	0.9001	53.4	3.55	223	72.5	0.6388	20.8	1.07	906	19.1	-0.1375	516,375	599,558	342,919	0.3059	0.1907	0.5407	0.1131	0.1353	69.1	4.03	727	74.2	0.456	5.1	0.59	402	17.4	0.0453	448,397	458,520	403,018	0.3904	Emerging	0.3657	0.4556	0.373	0.3343	Below Average	75.2	4.27	832	81.5	Average	0.5783	-1	0.35	297	10.1	-0.077	7	101	101	202	2	concentrated	0.4575	1.91	16.7	66.7	16.7	0	3,455	1,110	competitive	0.0153	1.27	0	8	87	5	8,386	5,017	competitive	0.0134	0.32	0	0	77	23	0.2357	0.6139	0.2643	0.15	100	101	250	317	52	0.8024	0.7443	0.96	0.8384	0.6071	77.9	4.41	1,093	85.1	0.6393	-3.7	0.21	36	6.5	-0.138	competitive	0.0102	0.27	0	64	36	0.8322	1.92	5.7	0.2979	0.7841	0.2021	-0.0202	100	101	3,119	3,547	576	0.7819	0.7487	0.9598	0.8352	0.5173	82	4.67	1,145	92.1	0.7805	-7.8	-0.05	-16	-0.5	-0.2792	competitive	0.0098	0.0012	1	0.16	0.8253	0.2094	0.3682	0.2906	0.3957	828,388	62.9	3.88	394	76.6	0.4737	11.3	0.74	735	0.0276	0.7622	0.728	0.9517	0.8163	0.4648	194,464	0.8088	15	219,832	39,648	24.3	58.7	7.7	9.2	828,389	888	60.8	4.13	417	74.8	0.4048	13.4	0.49	712	0.0965	0.7937	0.7193	0.9673	0.8219	0.5874	182	53.11	-24.47	0.3078	888	7.32	1,366	373	0.7998	7,998.42	0.2	51,184	62	0.0224	223.71	2,092.65	1,428.57	2.34	99.01	1.79	99.01	1.05	99.01	0.95	99.01	-6.8	0	4	0	-47.5	null	null	null	null	null	-0.07	19,170	-0.023	0.09	704,464	0.044	-0.06	92,327	-0.122	0.34	516,374	0.306	-0.04	75,347	-0.1	0.4	448,396	0.39	0.18	-262,962	0.129	0.83	250	0.802	0.65	-583,950	0.576	0.83	3,119	0.782	0.5013	100	0	1,129	0.17	5	0	0.667	stable	0.17	1.17	5	5	15	76	0.719	0.729	0.729	0	0.667	213,014	221,732	221,154	1	2	stable	0.14	null	28.64
V66AM66T	LongHorn Steakhouse	Food and Drink	Restaurants	Steak house	"Steak house, Bar & grill, Barbecue restaurant, Family restaurant, Takeout Restaurant, Traditional A(...TRUNCATED)	2760 Decker Blvd, Columbia, SC 29206	2760 Decker Blvd	Forest Acres	South Carolina	null	Dentsville	29,206	US	true	34.064556	-80.955471	America/New_York	(803) 73-***	2	Dentsville	true	Forest Acres	South Carolina	US	https	https://longhornsteakhouse.com/locations/sc/columbia/columbia-decker-blvd/5095	longhornsteakhouse.com/locations/sc/columbia/columbia-decker-blvd/5095	longhornsteakhouse.com	com	10,057	1998-09-17	2026-09-16	MarkMonitor, Inc.	purchase_dataset@darden.com, purchase_dataset@darden.com, purchase_dataset@longhornsteakhouse.com	realdomain	3	3	Casual steakhouse chain known for grilled beef & other American dishes in a ranch-style space.	3.61	1,028	{"1": 277, "2": 148, "3": 270, "4": 646, "5": 1742}	Curbside pickup, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great dessert, Great tea selection, Great wine(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Small plates, Wine	Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	6	https://www.instagram.com/longhornsteaks	longhornsteaks	https://www.facebook.com/longhornsteakhouse	longhornsteakhouse	https://twitter.com/longhornsteaks	longhornsteaks	null	null	https://www.linkedin.com/company/longhorn-steakhouse	longhorn-steakhouse	https://www.youtube.com/channel/uchavcjq9ndgf2ihmvma1hqa	uchavcjq9ndgf2ihmvma1hqa	null	null	null	null	https://www.pinterest.com/toniwilliams389	toniwilliams389	184,740	0.32	null	0.27	0.32	0.32	1,196	null	null	null	null	null	null	null	null	null	null	null	null	https://longhornsteakhouse.com/menu/legendary-steaks-combos/legendary-steaks?setrestaurant=5095	null	null	2026-03-25T03:49:25.521515+00:00	1,742.83	0.06	0	65,569.42	1,090.3	123.1707	0.15	72.2	100	62.2	0.2329	null	-0.0933	-0.1506	-0.0704	0.2278	0.067	0.4288	45.3	46.5	null	null	null	42.86	50	7.14	39.58	58.33	2.08	44.74	53.51	1.75	stable	stable	null	-1.2	-0.0229	-2.6	0	14	48	114	68.1	36.8	64	100	50.7	96	28	229	38	1,573	19,699	2,550	87,518	1,177,678	117,878	95,089	28	545,678	53	255,773	629,006	101	482,533	396,883	101	385,920	424	110	231	10,620	21,572	724,238	1,424,284	724,238	0.4616	0.3154	0.5505	-0.3154	-0.6438	0.3497	0.1923	0.3074	-0.1923	-0.4007	0.2212	0.2415	0.2689	-0.2415	-0.3622	100	52	100	545,678	604,065	255,773	0.2549	0.1746	0.6513	0.1953	0.2278	61.3	3.67	499	71.5	0.4004	3.9	-0.05	519	-9.2	-0.1675	629,006	611,567	482,533	0.156	0.1755	0.3541	0.104	0.067	65.2	4.01	564	73.9	0.4108	0	-0.39	454	-11.6	-0.1779	396,883	394,533	385,920	0.4581	Below Average	0.4495	0.4784	0.4543	0.4288	Below Average	76.3	4.32	855	82.8	Average	0.6091	-11.1	-0.7	163	-20.5	-0.3762	53	101	101	587	134	competitive	0.0377	16.55	9.6	21.2	69.2	0	3,378	1,079	competitive	0.0177	1.27	0	31	67	2	8,335	5,009	competitive	0.0118	0.32	0	0	72	28	0.2558	0.3858	-0.2558	-0.4791	100	101	81	146	36	0.5238	0.1369	0.7917	0.1905	0.1964	69.8	4.1	694	76.4	0.4852	-4.6	-0.48	324	-14.1	-0.2523	competitive	0.0145	7.72	6	86	8	0.4881	0.15	65.74	0.2979	0.7841	-0.2979	-0.8774	100	101	7,536	12,112	2,346	0.4768	0.1604	0.8371	0.2242	0.2513	82	4.67	1,145	92.1	0.7805	-16.8	-1.05	-127	-29.8	-0.5476	competitive	0.0088	0.0012	1	0.16	0.49	0.2094	0.3682	-0.2094	-0.4615	828,388	62.9	3.88	394	76.6	0.4737	2.3	-0.26	624	-0.2408	0.4745	0.1339	0.8711	0.2051	0.2347	432,702	0.4913	-14.3	715,494	106,143	24.3	58.7	7.7	9.2	828,389	118	63	4.13	468	76.2	0.4534	2.2	-0.51	550	-0.2205	0.5299	0.1111	0.7863	0.1368	0.1538	56	58.67	4.43	0.4017	118	94.19	106	820	6.536	65,360.27	0.2	51,184	62	0.0224	223.71	14.23	188.68	3.14	99.01	1.39	99.01	2.09	99.01	0.78	99.01	-13.7	0.01	3	0.1	-51.4	null	null	null	null	null	-0.07	107,866	-0.144	0.35	545,677	0.255	-0.06	92,057	-0.122	0.22	629,004	0.156	-0.06	84,456	-0.112	0.46	396,881	0.458	0.21	-580,682	0.232	0.49	81	0.524	0.31	-579,533	0.271	0.49	7,536	0.477	0.2329	null	null	1,018	0.13	4	0	0.147	decelerating	0.13	0.93	4	4	28	127	0.648	0.66	0.66	0	0.147	264,626	275,746	274,862	3	95	decelerating	-0.27	null	63.1
ZJMBVWYN	Boeshreen	Food and Drink	Restaurants	Mediterranean restaurant	"Mediterranean restaurant, Bakery, Cafe, Coffee shop, Gyro restaurant, Pizza restaurant, Restaurant,(...TRUNCATED)	2630 Decker Blvd, Columbia, SC 29223	2630 Decker Blvd	Forest Acres	South Carolina	null	Dentsville	29,223	US	true	34.061482	-80.952306	America/New_York	(803) 78-***	2	Dentsville	true	Forest Acres	South Carolina	US	https	https://boeshreensc.com	boeshreensc.com	boeshreensc.com	com	179	2025-10-03	2026-10-03	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	"Middle Eastern & American comfort-food favorites, served with Turkish coffee in bright, basic digs.(...TRUNCATED)	4.33	1,058	{"1": 93, "2": 29, "3": 56, "4": 153, "5": 744}	Outdoor seating, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee, Great dessert, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Vegetarian options	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	2	null	null	https://www.facebook.com/brotherbosanchez	brotherbosanchez	null	null	https://www.tiktok.com/@boyesreining	boyesreining	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	938	39	5,875	12.79	9.6	10.28	14.8	12.79	null	https://tmt.spotapps.co/reservations?spot_id=509560&source=google	https://tmt.spotapps.co/reservations?spot_id=509560&source=google	2026-03-24T06:18:47.119011+00:00	8.85	0.11	0.7	73,683.73	3,257.8	123.1707	0.15	86.6	100	83.5	0.6605	0.5	0.1699	0.4891	0.4682	0.1505	0.1563	0.3914	58.5	73.4	100	0	0	50	30	20	71.43	22.22	6.35	72.46	24.64	2.9	improving	declining	0.3301	-14.9	-0.2983	-20.3	1	20	63	138	77.5	40.5	68	100	67.3	94	25	115	32	1,193	11,818	1,926	68,059	708,039	89,541	73,924	25	571,577	46	276,486	494,572	101	361,911	431,523	101	399,342	203	110	231	10,620	21,572	724,238	1,424,284	724,238	0.4324	0.3093	0.5254	0.1907	-0.3433	0.3423	0.1444	0.2502	0.3556	-0.0681	0.3626	0.279	0.3795	0.221	-0.1974	100	45	100	571,577	566,442	276,486	0.2204	0.224	0.6231	0.1802	0.1505	60.6	3.74	484	71.1	0.3666	14	0.59	568	12.5	0.2939	494,572	554,986	361,911	0.3349	0.2468	0.5153	0.1958	0.1563	69.8	4.09	705	76.2	0.4661	4.8	0.24	347	7.4	0.1944	431,523	408,207	399,342	0.4121	Below Average	0.4314	0.4603	0.416	0.3914	Below Average	75.6	4.31	837	82.2	Average	0.5976	-1	0.02	215	1.4	0.0629	46	101	101	685	34	competitive	0.0461	14.32	6.7	31.1	62.2	0	3,549	1,004	competitive	0.0147	1.27	0	10	82	8	8,727	5,671	competitive	0.0124	0.32	0	0	77	23	0.2508	0.383	0.2492	-0.2009	100	101	33	66	29	0.8095	0.6012	0.8274	0.7143	0.7857	69.7	4.09	694	76.2	0.481	4.9	0.24	358	7.4	0.1795	competitive	0.0149	7.72	6	86	8	0.7524	0.15	65.65	0.2979	0.7841	0.2021	-0.602	100	101	2,898	6,796	1,776	0.796	0.5215	0.8761	0.6087	0.714	82	4.67	1,145	92.1	0.7805	-7.4	-0.34	-93	-8.5	-0.12	competitive	0.0091	0.0012	1	0.16	0.7377	0.2094	0.3682	0.2906	-0.1861	828,388	62.9	3.88	394	76.6	0.4737	11.7	0.45	658	0.1868	0.7742	0.4828	0.899	0.5723	0.6645	184,525	0.7242	7	419,892	82,872	24.3	58.7	7.7	9.2	828,389	118	63	4.13	468	76.2	0.4534	11.6	0.2	584	0.2071	0.8034	0.5897	0.812	0.6581	0.7521	24	58.67	29.31	0.812	118	94.19	106	820	6.5328	65,328.25	0.2	51,184	62	0.0224	223.71	21.26	217.39	2.16	99.01	1.54	99.01	2.23	99.01	0.83	99.01	-3.4	-0.01	6	-0.1	-51	null	null	null	null	null	-0.09	146,994	-0.196	0.34	571,576	0.22	-0.04	70,524	-0.093	0.36	494,570	0.335	-0.04	88,963	-0.119	0.43	431,518	0.412	0.47	-580,730	0.518	0.75	33	0.81	0.56	-584,171	0.59	0.74	2,898	0.796	0.6605	66.67	0	1,052	0.23	7	0	0.47	decelerating	0.23	1.63	7	7	30	147	0.816	0.822	0.822	0	0.47	142,983	148,636	148,433	2	33	decelerating	-0.24	null	87.98
23ASKDC2	Ocean View Seafood Restaurant	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant	1904 Broad River Rd, Columbia, SC 29210	1904 Broad River Rd	St. Andrews	South Carolina	null	Saint Andrews	29,210	US	true	34.03654	-81.089803	America/New_York	(803) 77-***	2	St. Andrews	false	St. Andrews	South Carolina	US	https	https://toasttab.com/ocean-view-seafood-restaurant-1904-broad-river-road	toasttab.com/ocean-view-seafood-restaurant-1904-broad-river-road	toasttab.com	com	5,077	2012-05-06	2026-05-06	Amazon Registrar, Inc.	null	null	0	0	"Fried seafood platters, plus grits, hushpuppies & chicken, are found in basic, nautical-themed digs(...TRUNCATED)	3.96	1,073	{"1": 147, "2": 75, "3": 178, "4": 390, "5": 849}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Healthy options, Private dining room, Quick bite, S(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	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	null	https://tmt.spotapps.co/reservations?spot_id=362869&source=google	https://tmt.spotapps.co/reservations?spot_id=362869&source=google	2026-03-23T03:33:02.128336+00:00	0	4.31	0.8	1,363.97	115.1	3.8462	5.27	79.2	100	73.4	0.4919	null	1	0.4108	0.5312	0.0268	0.2031	0.5213	100	76.6	null	null	null	100	0	0	73.33	26.67	0	77.46	19.72	2.82	stable	improving	null	23.4	0.4688	30.5	0	2	15	71	69.3	48.5	0	67	92.2	92	2	22	4	967	17,033	1,570	58,543	1,028,320	75,970	63,518	2	681,338	40	306,478	580,466	101	452,166	333,563	101	284,881	355	7	31	10,620	21,572	724,238	1,424,284	724,238	0.5921	0.2679	0.5825	-0.2679	0.4175	0.2225	0.0881	0.1517	-0.0881	0.8483	0.2953	0.1983	0.4171	-0.1983	0.5829	100	39	100	681,338	692,056	306,478	0.0745	0.0598	0.5824	0.0491	0.0268	55.7	3.36	463	65	0.2251	10.7	0.6	608	8.5	0.2668	580,466	516,378	452,166	0.2205	0.2958	0.3944	0.2626	0.2031	67	4.13	600	77.4	0.4858	-0.6	-0.17	471	-3.9	0.0061	333,563	252,987	284,881	0.5418	Below Average	0.6363	0.6148	0.6255	0.5213	Below Average	77.4	4.41	977	85.1	Average	0.6343	-11	-0.45	94	-11.6	-0.1424	40	101	101	543	59	competitive	0.0559	12.41	12.8	43.6	35.9	7.7	3,359	1,093	competitive	0.0175	1.27	0	19	75	6	7,082	5,062	competitive	0.0108	0.32	0	0	69	31	0.25	0.2324	-0.25	0.7676	4	5	2	4	2	0.875	0.625	0.875	0.875	1	59.7	3.6	705	61.2	0.2201	6.7	0.36	366	12.3	0.2718	concentrated	0.2753	0.25	25	75	0	0.8	7.27	1.16	0.2979	0.7841	-0.2979	0.2159	100	101	6,956	10,246	1,343	0.5166	0.2883	0.9065	0.3752	0.5058	82	4.67	1,145	92.1	0.7805	-15.6	-0.71	-74	-18.6	-0.2886	competitive	0.0093	0.0012	1	0.16	0.5651	0.2094	0.3682	-0.2094	0.6318	828,388	62.9	3.88	394	76.6	0.4737	3.5	0.08	677	0.0182	0.5133	0.2489	0.9173	0.341	0.4532	400,473	0.5552	-3.1	618,464	67,790	24.3	58.7	7.7	9.2	828,389	6	52.4	3.61	566	60.5	0.2496	14	0.35	505	0.2423	1	0.6	1	0.8	0.8	1	49.32	24.81	0.6	6	1.93	5,169	1,300	0.1364	1,363.97	0.2	51,184	62	0.0224	223.71	31.3	250	3.08	99.01	1.18	99.01	757.63	2,000	0.86	99.01	-1.7	0	2	0.1	-44.8	null	null	null	null	null	-0.06	95,850	-0.126	0.22	681,337	0.075	-0.06	82,711	-0.11	0.3	580,464	0.221	-0.07	131,424	-0.177	0.59	333,556	0.542	0.74	-810,339	0.862	0.8	2	0.875	0.37	-580,113	0.311	0.57	6,956	0.517	0.4919	null	null	1,071	0.17	5	1	0.478	stable	0.17	1.17	5	5	14	82	0.719	0.729	0.729	1	0.478	213,014	221,732	221,154	1	149	stable	0.1	null	74.13
MQT8F4J5	Monterrey Mexican Restaurant	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Latin American restaurant, Restaurant	931 Senate St, Columbia, SC 29201	931 Senate St	Columbia	South Carolina	Midtown - Downtown	null	29,201	US	true	33.999025	-81.036569	America/New_York	(803) 76-***	2	null	true	Columbia	South Carolina	US	http	http://ordermonterreymexicanrestaurantoflavistaincorporation.com	ordermonterreymexicanrestaurantoflavistaincorporation.com	ordermonterreymexicanrestaurantoflavistaincorporation.com	com	2,118	2020-06-12	2026-06-12	IONOS SE	purchase_dataset@themenustar.com	null	1	1	Mexican favorites & many flavors of margaritas in a casual space with traditional accents.	4.23	930	{"1": 65, "2": 37, "3": 96, "4": 239, "5": 600}	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, Small p(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Groups, Tourists	Accepts reservations	Credit cards, Debit cards	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://ordermonterreymexicanrestaurantoflavistaincorporation.com	https://ordermonterreymexicanrestaurantoflavistaincorporation.com	https://ordermonterreymexicanrestaurantoflavistaincorporation.com	2026-03-23T03:13:39.881361+00:00	0	0.88	3.6	7,998.42	566.3	270.7775	1.9	84.6	99	81.1	0.6151	null	0.55	0.4245	0.6898	0.6321	0.6226	0.2388	77.5	84.5	null	null	null	80	20	0	73.08	26.92	0	84.38	14.06	1.56	stable	declining	null	-7	-0.1398	-8.3	0	10	26	64	71.2	48.5	0	83	80	92	186	1,080	325	1,997	13,451	3,312	111,130	813,773	154,282	120,417	186	77,384	101	151,354	277,370	101	316,295	472,174	101	352,089	245	916	1,966	10,620	21,572	724,238	1,424,284	724,238	0.3735	0.329	0.4487	0.671	0.1013	0.8234	0.2533	0.4464	0.7467	0.1036	0.6291	0.327	0.5482	0.673	0.0018	100	100	100	77,384	169,495	151,354	0.8925	0.7613	0.7935	0.6879	0.6321	71.9	4.26	587	80.8	0.5236	-3.6	-0.03	339	0.2	0.0903	277,370	217,819	316,295	0.6226	0.6907	0.5761	0.6902	0.6226	75.4	4.35	756	83.5	0.6061	-7.1	-0.12	170	-2.5	0.0078	472,174	553,480	352,089	0.3591	Market Leader	0.2422	0.5241	0.2371	0.2388	Average	74.5	4.18	896	79	Below Average	0.5422	-6.2	0.05	30	2	0.0717	101	101	101	514	36	competitive	0.0155	31.83	0	7	79	14	2,719	1,037	competitive	0.0121	1.27	0	0	84	16	7,189	5,044	competitive	0.0102	0.32	0	0	79	21	0.2357	0.6139	0.7643	-0.0639	100	101	457	634	266	0.6392	0.498	0.7914	0.6031	0.7192	77.9	4.41	1,093	85.1	0.6393	-9.6	-0.18	-167	-4.1	-0.0254	competitive	0.0084	0.27	0	64	36	0.6425	1.92	5.7	0.2979	0.7841	0.7021	-0.2341	100	101	5,973	7,858	2,826	0.5848	0.4515	0.8048	0.5397	0.6531	82	4.67	1,145	92.1	0.7805	-13.7	-0.44	-219	-11.1	-0.1666	competitive	0.008	0.0012	1	0.16	0.6108	0.2094	0.3682	0.7906	0.1818	828,388	62.9	3.88	394	76.6	0.4737	5.4	0.35	532	0.1402	0.5757	0.4073	0.8446	0.4988	0.5989	348,742	0.6059	4.4	485,334	128,544	24.3	58.7	7.7	9.2	828,389	888	60.8	4.13	417	74.8	0.4048	7.5	0.1	509	0.2091	0.628	0.4442	0.805	0.5592	0.6888	329	53.11	32.81	0.7689	888	7.32	1,366	373	0.7998	7,998.42	0.2	51,184	62	0.0224	223.71	2.41	99.01	1.46	99.01	1.05	99.01	0.71	99.01	0.64	99.01	-4.3	0	5	0	-36.1	null	null	null	null	null	-0.02	29,490	-0.041	0.82	77,382	0.893	-0.05	73,763	-0.1	0.63	277,368	0.623	-0.05	82,867	-0.109	0.37	472,163	0.359	-0.01	-262,755	-0.034	0.64	457	0.639	0.43	-581,096	0.379	0.61	5,973	0.585	0.6139	100	0	926	0.17	5	0.594	0.649	stable	0.17	1.17	5	5	16	70	0.719	0.729	0.729	0.594	0.649	213,014	221,732	221,154	33	213	stable	0.04	null	85.92
P4XJ45FK	Hickory Tavern	Food and Drink	Restaurants	American restaurant	American restaurant, Bar & grill, Family restaurant, Sports bar	907 Senate St, Columbia, SC 29201	907 Senate St	Columbia	South Carolina	Midtown - Downtown	null	29,201	US	true	33.999421	-81.037722	America/New_York	(803) 76-***	2	null	true	Columbia	South Carolina	US	https	https://thehickorytavern.com	thehickorytavern.com	thehickorytavern.com	com	8,699	2002-06-06	2026-06-06	GoDaddy.com, LLC	null	null	0	0	Sports bar & grill chain with an extensive menu of typical bar food & TVs galore.	4.09	1,176	{"1": 125, "2": 78, "3": 176, "4": 417, "5": 951}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great wine list, Live music, Rooftop seating, (...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, 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	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	null	https://party-request.tripleseat.com/venues/3eqhdfm1	https://party-request.tripleseat.com/venues/3eqhdfm1	2026-03-23T03:13:39.806857+00:00	0	12.46	3.2	7,998.42	566.1	270.7775	1.9	81.8	100	75.7	0.501	null	0.9641	0.8535	0.7018	0.6387	0.6313	0.2342	98.2	85.1	null	null	null	98.68	1.32	0	92.27	5.8	1.93	84.84	13.36	1.81	stable	improving	null	13.1	0.2623	15.4	0	76	207	277	72.5	65.6	0	67	91.2	92	15	1,287	22	223	15,439	319	23,221	932,101	29,073	24,757	15	77,384	101	152,325	277,370	101	324,730	472,174	101	352,917	304	916	1,966	10,620	21,572	724,238	1,424,284	724,238	0.3732	0.3315	0.4527	-0.3315	0.4985	0.8257	0.2733	0.4428	-0.2733	0.5084	0.6257	0.317	0.5373	-0.317	0.4139	100	100	100	77,384	163,351	152,325	0.8925	0.7702	0.7922	0.693	0.6387	71.9	4.27	586	80.9	0.5257	-2.4	-0.19	566	-5.6	-0.0247	277,370	217,819	324,730	0.6226	0.6907	0.5648	0.697	0.6313	75.4	4.35	747	83.6	0.6083	-5.9	-0.27	405	-8.3	-0.1073	472,174	553,480	352,917	0.3591	Market Leader	0.2422	0.5229	0.2323	0.2342	Average	74.5	4.18	895	78.9	Below Average	0.5402	-5	-0.1	257	-3.6	-0.0392	101	101	101	502	34	competitive	0.0193	31.83	0	7	79	14	2,690	1,004	competitive	0.0152	1.27	0	0	84	16	7,084	5,010	competitive	0.0127	0.32	0	0	79	21	0.2357	0.6139	-0.2357	0.3373	100	101	398	760	32	0.6855	0.3953	0.9757	0.4769	0.6063	77.9	4.41	1,093	85.1	0.6393	-8.4	-0.33	59	-9.8	-0.1383	competitive	0.0104	0.27	0	64	36	0.6855	1.92	5.7	0.2979	0.7841	-0.2979	0.1671	100	101	5,409	9,276	408	0.6225	0.3533	0.9715	0.409	0.5169	82	4.67	1,145	92.1	0.7805	-12.5	-0.59	7	-16.8	-0.2795	competitive	0.01	0.0012	1	0.16	0.6464	0.2094	0.3682	-0.2094	0.583	828,388	62.9	3.88	394	76.6	0.4737	6.6	0.2	758	0.0273	0.615	0.3136	0.9611	0.3754	0.4645	316,284	0.6284	-1.3	563,927	31,903	24.3	58.7	7.7	9.2	828,389	888	60.8	4.13	417	74.8	0.4048	8.7	-0.05	735	0.0962	0.6764	0.3439	0.9797	0.4374	0.5862	286	53.11	21.89	0.5806	888	7.32	1,366	373	0.7998	7,998.42	0.2	51,184	62	0.0224	223.71	3.72	99.01	2.31	99.01	1.62	99.01	1.09	99.01	0.99	99.01	0.6	0.03	52	0.8	-29.3	null	null	null	null	null	-0.02	29,490	-0.041	0.83	77,381	0.893	-0.05	69,966	-0.094	0.63	277,359	0.623	-0.05	82,867	-0.109	0.37	472,157	0.359	0.04	-262,814	0.012	0.69	398	0.686	0.47	-581,660	0.417	0.65	5,409	0.623	0.501	null	null	1,152	2.37	71	1	0.995	stable	2.37	16.57	71	71	245	358	0.995	0.995	0.995	1	0.995	4,508	4,662	4,660	1	4	stable	-0.03	null	75

End of preview. Expand in Data Studio

All Restaurants in Columbia (Metro), South Carolina, US

Free sample dataset from BeamStation

All Restaurants in Columbia (Metro), South Carolina, US

This dataset provides a complete weekly export of every restaurant operating within the Columbia metropolitan area of South Carolina. It contains 1,495 records, each representing a distinct establishment with all available profile columns such as name, address, cuisine type, contact information, and any additional attributes supplied by the source. The data is refreshed on a weekly basis, ensuring users have access to the most current listings for analysis, mapping, or business intelligence. Researchers, urban planners, food‑industry analysts, and developers building location‑based services can rely on this comprehensive list to study market saturation, identify service gaps, or power recommendation engines. Because the export includes every column offered by the source, no preprocessing is required to obtain the full set of attributes for each restaurant.

For direct access, visit the dataset page: https://beamstation.com/datasets/192219/

Dataset Details

Field	Value
Full dataset	1,495 records
Sample size	25 records
Location	Columbia, SC
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/all-restaurants-in-columbia-metro-south-carolina-us-192219")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 1,495 records and unmasked contact data is available at:

All Restaurants in Columbia (Metro), South Carolina, US on BeamStation

License

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

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