Datasets:

beamstation
/

top-30-active-restaurant-whales-in-columbus-us-145725-145725

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github string	social_username_github string	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_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	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_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_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_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
D63NX3EW	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	381 E Main St, Columbus, OH 43215	381 E Main St	Columbus	Ohio	Downtown	Downtown	43,215	US	true	39.956887	-82.98915	America/New_York	(614) 46-***	1	OPERATIONAL	true	true	null	true	Columbus	Ohio	US	https	https://mcdonalds.com/us/en-us/location/oh/columbus/381-e-main-st/11824.html	mcdonalds.com/us/en-us/location/oh/columbus/381-e-main-st/11824.html	mcdonalds.com	com	11,614	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dat(...TRUNCATED)	realdomain	31	24	7	Classic, long-running fast-food chain known for its burgers & fries.	true	true	3.14	2,489	{"1": 855, "2": 341, "3": 652, "4": 694, "5": 1204}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Has changing table(s), Kids' menu	false	true	purchase_dataset@	true	true	7	2025-09-02	2026-03-04	239	56	101	239	239	56	56	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	https://github.com/mcdcorp	mcdcorp	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,549,245	0.37	null	0.17	0.38	0.37	523	5,423,588	354	38,600,124	4.88	null	2.01	1.93	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-24T15:22:02.702206+00:00	608.8	4.35	1,576.23	15.3	65.6697	3.88	62.8	100	47.8	-0.0328	-0.2582	-0.3402	-0.3675	-0.3472	0.0211	0	0	33	32.6	35.71	64.29	0	28.57	62.86	8.57	28.57	66.23	5.19	30.6	64.93	4.48	improving	stable	0.082	0.4	0.007	1.2	14	35	77	134	-9.1	4.5	20	61.9	27.4	100	100	44	100	16	5,665	30	72	40,243	99	3,311	1,319,818	4,490	3,479	16	46	96	4	131	138	4	141	146	3	188	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.3097	0.0168	0.5697	-0.0168	-0.776	0.5642	0.0073	0.2304	-0.0073	-0.4367	0.3139	0.088	0.593	-0.088	-0.7993	145	95	137	46	76	4	0.5263	0.2105	0.9684	0.0316	0.0211	50.8	3.51	502	75.8	0.4564	11.1	-0.37	1,987	-28	-0.5009	131	138	4	0.0511	0	0.9781	0	0	74.2	4.5	843	87.6	0.7299	-12.3	-1.36	1,646	-39.8	-0.7744	141	146	3	0.0345	Average	0	0.9862	0	0	Below Average	74.4	4.43	807	85.7	Below Average	0.6847	-12.5	-1.29	1,682	-37.9	-0.7292	96	138	146	752	74	competitive	0.0496	30.24	33.7	17.9	44.2	4.2	2,736	1,011	competitive	0.0211	1.74	5.1	0	75.2	19.7	7,321	5,003	competitive	0.0208	0.46	3.4	82.1	14.5	0.0775	0.7547	-0.0775	-0.961	163	164	163	164	6	0.0061	0	0.9693	0	0	79.5	4.58	1,061	89.8	0.7754	-17.6	-1.44	1,428	-42	-0.8199	competitive	0.0142	0.28	0.6	50.9	48.5	0.2932	4.39	1.43	0.2382	0.7536	-0.2382	-0.9599	184	185	185	185	13	0	0	0.9348	0	0	82.7	4.64	1,212	91.5	0.7987	-20.8	-1.5	1,277	-43.7	-0.8432	competitive	0.011	0.0016	1.12	0.13	0.2804	0.0328	0.2935	-0.0328	-0.4998	849,634	59.7	3.83	389	76.2	0.4652	2.2	-0.69	2,100	-0.5097	0.4254	0.0502	0.9959	0.0423	0.0319	485,799	0.484	-28.4	806,102	3,451	23.1	58	4.5	14.4	849,635	689	54.4	3.81	525	66.9	0.3222	7.5	-0.67	1,964	-0.3667	0.5785	0.1555	0.9956	0.141	0.0785	285	59.36	-5.43	0.266	689	1.8	5,557	1,538	0.1909	1,908.93	0.16	64,127	102	0.0189	188.94	24.63	104.17	4.46	72.46	4.34	68.49	2.01	60.98	1.22	54.05	-3.7	0	0	0	-9.4	null	null	null	null	null	-0.01	78,190	-0.067	-63.42	537,153	-0.687	-0.02	59,914	-0.071	-62.87	-6,530	0.018	0	65,193	-0.068	-63.07	135,775	-0.168	-0.01	96	-0.023	-63.26	-186,088	-0.221	-0.02	1,965	-0.056	-63.32	-173,258	-0.351	-0.0445	null	null	2,351	0.03	1	0.508	0.368	decelerating	0.03	0.23	1	1	22	115	0.494	0.501	0.502	0.505	0.362	329,426	350,498	348,784	111	1,129	decelerating	-0.1	null	53.93
2TQJJ3C9	Olive Garden Italian Restaurant	Food and Drink	Restaurants	Italian restaurant	"Italian restaurant, Caterer, Family restaurant, Gluten-free restaurant, Takeout Restaurant, Mediter(...TRUNCATED)	4860 N Hamilton Rd, Columbus, OH 43230	4860 N Hamilton Rd	Columbus	Ohio	Preserve South	Preserve South	43,230	US	true	40.056922	-82.862721	America/New_York	(614) 85-***	2	null	true	true	null	true	Columbus	Ohio	US	https	https://olivegarden.com/locations/oh/columbus/columbus-n-hamilton-rd/1820	olivegarden.com/locations/oh/columbus/columbus-n-hamilton-rd/1820	olivegarden.com	com	10,530	1997-06-30	2026-10-12	MarkMonitor, Inc.	"purchase_dataset@darden.com, purchase_dataset@darden.com, purchase_dataset@olivegarden.com, purchas(...TRUNCATED)	realdomain	6	6	0	Lively, family-friendly chain featuring Italian standards such as pastas & salads.	true	true	4.21	1,583	{"1": 129, "2": 94, "3": 270, "4": 717, "5": 1836}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, 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, Hard liquor, Healthy options, Small plates, Vegan o(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	7	2025-06-06	2026-04-09	327	20	101	327	327	20	20	https://www.instagram.com/olivegarden	olivegarden	https://www.facebook.com/olivegarden	olivegarden	https://twitter.com/olivegarden125	olivegarden125	https://www.tiktok.com/@olivegarden	olivegarden	https://www.linkedin.com/company/olivegarden	olivegarden	https://www.youtube.com/olivegarden	olivegarden	null	null	null	null	null	null	772,242	0.98	null	0.31	0.71	0.98	2,311	237,539	154	7,244,246	11.32	9.5	12.38	9.62	11.32	https://olivegarden.com/menu/classic-entrees?setrestaurant=1820	null	null	2026-04-24T14:44:34.952021+00:00	137.89	4.23	2,111.24	23.5	106.632	4.35	84.2	100	79.2	0.5654	0.7542	0.4674	0.5105	0.4887	0.4615	0.2393	0.2612	73.4	74.4	100	0	0	73.68	21.05	5.26	73.58	18.87	7.55	72.63	23.16	4.21	improving	stable	0.2868	-1	-0.0213	-1.3	3	19	53	95	-28.3	-20	-52.6	78.7	39.5	100	100	79.4	100	88	3,511	132	344	25,117	438	11,024	865,186	14,205	11,396	88	6	66	3	15	118	11	27	135	7	124	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.7142	0.0097	0.4768	-0.0097	0.1318	0.8031	-0.0057	0.2435	0.0057	0.3651	0.7496	0.0271	0.4613	-0.0271	0.1473	134	65	117	6	35	3	0.9231	0.4769	0.9692	0.4615	0.4615	55	3.83	527	75	0.4528	23.7	0.38	1,056	4.2	0.0749	15	70	11	0.8803	0.4103	0.9145	0.3846	0.2393	68.3	4.23	816	79.9	0.5884	10.4	-0.02	767	-0.7	-0.0607	27	88	7	0.806	Market Leader	0.3507	0.9552	0.3358	0.2612	Strong	71	4.29	771	82	Strong	0.6233	7.7	-0.08	812	-2.8	-0.0956	66	118	135	464	81	competitive	0.0442	20.69	26.2	12.3	56.9	4.6	3,850	1,225	competitive	0.0163	1.49	8.5	2.6	82.1	6.8	8,194	5,008	competitive	0.0151	0.43	4.5	85.8	9.7	0.0775	0.7548	-0.0775	-0.1462	163	164	114	159	25	0.3067	0.0307	0.8528	0.0245	0.0307	79.5	4.58	1,064	89.9	0.7762	-0.8	-0.37	519	-10.7	-0.2485	competitive	0.009	0.28	0.6	50.9	48.5	0.3877	4.39	1.43	0.239	0.7522	-0.239	-0.1436	183	184	158	181	33	0.1421	0.0164	0.8251	0.0055	0.0109	82.7	4.64	1,209	91.5	0.7977	-4	-0.43	374	-12.3	-0.27	competitive	0.0071	0.0016	1.13	0.13	0.3093	0.0328	0.2935	-0.0328	0.3151	849,634	59.7	3.83	389	76.2	0.4652	19	0.38	1,194	0.0625	0.9333	0.3885	0.9866	0.4603	0.5006	55,062	0.7859	3	513,923	11,337	23.1	58	4.5	14.4	849,635	2,538	52.6	4.19	366	76.3	0.4793	26.1	0.02	1,217	0.0484	0.9405	0.3733	0.9795	0.4442	0.4813	148	57.67	19.39	0.4876	2,538	1.8	5,557	1,538	0.1915	1,914.66	0.16	64,478	102	0.0188	187.56	19.51	151.52	2.66	84.75	2.28	74.07	0.82	60.98	0.5	54.35	-2.4	0	0	0	6.7	null	null	null	null	null	-0.09	229,900	-0.275	-82	595,616	-0.776	0.01	105,215	-0.118	-81.71	358,768	-0.462	0.04	6,208	0.017	-81.73	413,330	-0.536	-0.01	-3	0.001	-81.56	-31,069	-0.012	-0.02	397	-0.013	-81.46	-29,496	-0.032	0.5277	null	null	1,055	0.2	6	0.87	0.851	decelerating	0.2	1.4	6	6	28	95	0.915	0.917	0.917	0.853	0.824	74,544	78,967	78,820	11	75	decelerating	0.13	null	77.06
NYXKSD22	IHOP	Food and Drink	Restaurants	Breakfast restaurant	"Breakfast restaurant, American restaurant, Brunch restaurant, Diner, Family restaurant, Lunch resta(...TRUNCATED)	7130 Sawmill Rd, Columbus, OH 43235	7130 Sawmill Rd	Columbus	Ohio	Foxboro	Foxboro	43,235	US	true	40.110104	-83.088001	America/New_York	(614) 76-***	2	OPERATIONAL	true	true	null	true	Columbus	Ohio	US	https	https://restaurants.ihop.com/en-us/oh/columbus/breakfast-7130-sawmill-rd-3360	restaurants.ihop.com/en-us/oh/columbus/breakfast-7130-sawmill-rd-3360	restaurants.ihop.com	com	10,626	1997-03-26	2028-03-27	MarkMonitor, Inc.	null	null	0	0	0	Long-standing chain serving a wide variety of pancakes & other American breakfast & diner fare.	true	true	3.67	1,841	{"1": 427, "2": 181, "3": 318, "4": 575, "5": 1519}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Coffee, Comfort food, Happy hour food, Organic dishes, Quick bite, Salad bar, Small plates, Vegan o(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual, Quiet	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-11-19	2026-03-27	161	33	38	161	161	33	33	https://www.instagram.com/ihop	ihop	https://www.facebook.com/coneyislandihop	coneyislandihop	https://twitter.com/ihop	ihop	null	null	https://www.linkedin.com/company/ihop	ihop	https://www.youtube.com/user/ihop	ihop	null	null	null	null	null	null	760,219	0.57	null	0.09	0.57	0.57	2,544	null	null	null	null	null	null	null	null	https://ihop.com/en/menu?storenumber=3360&action=viewmenu	null	null	2026-04-24T14:38:29.662947+00:00	136.16	9.86	1,896.93	28.2	106.632	4.35	73.4	100	64	0.28	0.8624	0.8447	0.8398	0.8048	0.325	0.0261	0	92.2	90.2	92.31	7.69	0	93.14	5.71	1.14	93.1	6.21	0.69	91.37	7.91	0.72	stable	stable	0.0177	2	0.0399	2.2	52	175	290	417	20.7	67.9	-10.9	70.9	45.1	76	80	83.3	100	48	5,015	78	195	35,813	256	7,523	1,196,991	9,812	7,810	48	7	41	1	91	116	1	137	146	3	157	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.3207	0.0714	0.6744	-0.0714	0.1768	0.73	0.0238	0.1807	-0.0238	0.6705	0.3974	0.0628	0.5406	-0.0628	0.3106	145	40	115	7	29	1	0.85	0.3	1	0.325	0.325	45.9	3.93	406	72	0.3929	25	-0.26	1,435	-8	-0.1682	91	112	1	0.2174	0.0348	1	0.0348	0.0261	70.4	4.4	665	84.8	0.6597	0.5	-0.73	1,176	-20.8	-0.435	137	146	3	0.0621	Strong	0	0.9862	0	0	Below Average	76.1	4.45	863	86.5	Below Average	0.7093	-5.2	-0.78	978	-22.5	-0.4846	41	116	146	562	1	competitive	0.1018	12.73	37.5	22.5	37.5	2.5	2,795	1,048	competitive	0.0235	1.46	8.7	0.9	74.8	15.7	7,362	5,007	competitive	0.0145	0.46	2.8	76.6	20.7	0.0775	0.7592	-0.0775	0.092	163	164	162	164	15	0.0123	0	0.9141	0	0	79.5	4.58	1,058	89.9	0.7777	-8.6	-0.91	783	-25.9	-0.553	competitive	0.0106	0.28	0.6	50.9	48.5	0.2792	4.39	1.43	0.2327	0.7534	-0.2327	0.0978	184	185	185	185	27	0	0	0.8587	0	0	82.7	4.64	1,208	91.6	0.8008	-11.8	-0.97	633	-27.6	-0.5761	competitive	0.0082	0.0016	1.12	0.13	0.2576	0.0328	0.2935	-0.0328	0.5577	849,634	59.7	3.83	389	76.2	0.4652	11.2	-0.16	1,452	-0.2405	0.7152	0.1439	0.9909	0.2302	0.2413	239,153	0.6265	-12.2	722,923	7,765	23.1	58	4.5	14.4	849,635	2,538	52.6	4.19	366	76.3	0.4793	18.3	-0.52	1,475	-0.2546	0.7402	0.1435	0.9874	0.231	0.2349	649	57.67	4.07	0.3666	2,538	1.8	5,557	1,538	0.1904	1,904.28	0.16	64,127	102	0.0188	188.39	103.7	243.9	5.53	86.21	2.1	68.49	1.12	60.98	0.67	54.05	-3.5	0	0	0	-3.2	null	null	null	null	null	-0.04	154,034	-0.166	-67.01	586,616	-0.751	-0.01	93,819	-0.107	-66.64	146,435	-0.179	-0.01	66,101	-0.074	-66.58	57,066	-0.067	-0.02	103	-0.026	-66.8	-173,572	-0.052	-0.04	1,844	-0.061	-66.83	-166,092	-0.134	0.2247	null	null	1,129	0.47	14	0.988	0.985	decelerating	0.47	3.27	14	14	108	272	0.976	0.977	0.977	0.981	0.982	23,479	24,959	24,978	4	14	decelerating	-0.3	null	61.74
PELAAEZS	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	821 E 17th Ave, Columbus, OH 43211	821 E 17th Ave	Columbus	Ohio	Fairgrounds	Fairgrounds	43,211	US	true	40.000487	-82.985792	America/New_York	(614) 42-***	2	OPERATIONAL	true	true	null	true	Columbus	Ohio	US	https	https://mcdonalds.com/us/en-us/location/oh/columbus/821-e-17th-ave/19123.html	mcdonalds.com/us/en-us/location/oh/columbus/821-e-17th-ave/19123.html	mcdonalds.com	com	11,614	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dat(...TRUNCATED)	null	26	20	6	Classic, long-running fast-food chain known for its burgers & fries.	true	true	2.53	2,009	{"1": 1155, "2": 397, "3": 701, "4": 622, "5": 968}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Has changing table(s), Kids' menu	true	true	purchase_dataset@	true	true	6	2025-09-02	2026-03-04	239	56	101	239	239	56	56	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	null	null	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,549,245	0.37	null	0.17	0.38	0.37	523	5,423,588	354	38,600,124	4.88	null	2.01	1.93	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-24T12:59:58.720247+00:00	608.8	9.78	1,583.24	18.3	65.6697	3.92	50.6	100	31.6	-0.3661	0.0242	-0.5229	-0.5029	-0.4138	0	0	0	23.9	29.3	54.55	45.45	0	25	75	0	24.62	72.31	3.08	28.93	67.77	3.31	improving	declining	0.5471	-5.4	-0.1091	-18.4	11	36	65	121	10.8	19	-8.3	54.4	39.5	100	100	13.4	100	34	6,029	57	146	42,087	192	6,054	1,372,171	7,952	6,295	34	5	9	1	142	150	10	142	146	8	205	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.2966	0.0425	0.693	-0.0425	-1.4975	0.575	0.0163	0.2293	-0.0163	-1.0338	0.3034	0.068	0.6252	-0.068	-1.4297	145	8	149	5	7	1	0.5	0.25	1	0	0	52.1	3.24	192	74.3	0.3889	2.3	-0.71	1,817	-42.7	-0.9488	142	150	10	0.0537	0	0.9396	0	0	74.4	4.5	878	87.5	0.7154	-20	-1.97	1,131	-55.9	-1.2753	142	146	8	0.0276	Average	0	0.9517	0	0	Below Average	76.6	4.52	1,010	88.2	Below Average	0.7492	-22.2	-1.99	999	-56.6	-1.3091	9	150	146	812	725	moderate	0.5672	2.55	25	25	50	0	3,354	1,076	competitive	0.0151	1.9	5.4	0	74.5	20.1	7,361	5,072	competitive	0.0135	0.46	2.8	71.7	25.5	0.077	0.7556	-0.077	-1.5601	164	165	164	165	12	0.0061	0	0.9329	0	0	79.5	4.58	1,064	89.9	0.776	-25.1	-2.05	945	-58.3	-1.3359	competitive	0.0114	0.28	0.6	51.2	48.2	0.2823	4.36	1.44	0.2382	0.7518	-0.2382	-1.5563	184	185	185	185	26	0	0	0.8641	0	0	82.7	4.64	1,211	91.5	0.7995	-28.3	-2.11	798	-59.9	-1.3594	competitive	0.0089	0.0016	1.12	0.13	0.2592	0.0328	0.2935	-0.0328	-1.098	849,634	59.7	3.83	389	76.2	0.4652	-5.3	-1.3	1,620	-1.0251	0.2601	0.0161	0.9926	0.0147	0.004	627,315	0.4067	-44.6	835,842	6,258	23.1	58	4.5	14.4	849,635	689	54.4	3.81	525	66.9	0.3222	0	-1.28	1,484	-0.8821	0.3052	0.016	0.9913	0.0233	0.0058	479	59.36	-37.46	0.2006	689	1.81	5,523	1,538	0.1926	1,926.41	0.16	64,127	102	0.0189	188.79	3,217.09	1,111.11	2.29	66.67	1.83	68.49	1.3	60.61	0.8	54.05	-5.9	0	0	0	-12.7	null	null	null	null	null	0.02	-24	0.037	-59.92	485,104	-0.615	-0.03	73,726	-0.09	-59.25	-68,966	0.102	-0.01	61,232	-0.068	-59.28	-27,374	0.047	-0.01	72	-0.013	-59.8	-241,564	-0.362	-0.02	1,730	-0.039	-59.86	-224,224	-0.493	-0.5599	null	null	1,064	0.2	6	0.971	0.934	decelerating	0.2	1.4	6	6	30	106	0.915	0.917	0.917	0.963	0.926	74,544	78,967	78,820	14	146	decelerating	-0.1	null	21.9
5HPP7Q7T	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	3554 S High St, Columbus, OH 43207	3554 S High St	Columbus	Ohio	Far South	Southside	43,207	US	true	39.88849	-82.997227	America/New_York	(614) 49-***	1	OPERATIONAL	true	true	null	true	Columbus	Ohio	US	https	https://mcdonalds.com/us/en-us/location/oh/columbus/3554-s-high-st/24572.html	mcdonalds.com/us/en-us/location/oh/columbus/3554-s-high-st/24572.html	mcdonalds.com	com	11,614	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dat(...TRUNCATED)	null	35	27	8	Classic, long-running fast-food chain known for its burgers & fries.	true	true	2.86	1,607	{"1": 662, "2": 335, "3": 628, "4": 570, "5": 871}	"Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Ta(...TRUNCATED)	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert, Seating	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Has changing table(s), Kids' menu	true	true	purchase_dataset@	true	true	9	2025-09-02	2026-04-23	239	6	113	239	239	6	6	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	https://youtube.com/channel/ucri5zedbs0_byy4plxd6m7w	ucri5zedbs0_byy4plxd6m7w	null	null	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,549,245	0.42	0.42	0.42	0.42	0.42	523	5,423,588	354	38,600,124	4.88	null	2.01	1.93	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-24T12:59:58.549781+00:00	608.8	1.09	1,582.14	18.3	65.6697	3.91	57.2	100	38.1	-0.2015	-0.5907	-0.4297	-0.3263	-0.1143	0.0286	0	0	28.5	44.3	0	50	50	25	62.5	12.5	29.17	58.33	12.5	41.94	51.61	6.45	declining	declining	-0.161	-15.8	-0.3154	-35.7	2	8	24	62	-33.3	-48.4	-25	61.2	42.8	100	100	38.1	100	81	5,917	122	326	41,483	414	10,609	1,354,934	13,683	10,972	81	17	36	2	47	83	2	131	138	18	201	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.2832	0.0454	0.5765	-0.0454	-0.8277	0.5257	-0.0575	0.0314	0.0575	-0.2826	0.5122	0.01	0.2358	-0.01	-0.487	137	35	82	17	34	2	0.5429	0.0571	0.9714	0.0286	0.0286	51.5	3.72	616	66.8	0.3183	9.7	-0.86	991	-28.7	-0.5163	47	72	2	0.439	0.1341	0.9878	0.0244	0	55.8	3.66	498	73.1	0.4147	5.4	-0.8	1,109	-35	-0.6127	131	138	18	0.0511	Average	0	0.8759	0	0	Average	73.8	4.45	953	86	Below Average	0.6979	-12.6	-1.59	654	-47.9	-0.8959	36	83	138	517	48	competitive	0.0694	11.14	25.7	25.7	45.7	2.9	4,030	1,694	competitive	0.0379	1.04	22	20.7	54.9	2.4	8,097	5,010	competitive	0.0122	0.44	5.1	78.1	16.8	0.0775	0.7524	-0.0775	-1.0036	163	164	163	164	22	0.0061	0	0.8712	0	0	79.5	4.58	1,064	89.8	0.7754	-18.3	-1.72	543	-51.7	-0.9734	competitive	0.0092	0.28	0.6	50.9	48.5	0.2638	4.39	1.43	0.2355	0.7507	-0.2355	-1.0019	183	184	184	184	33	0	0	0.8251	0	0	82.7	4.64	1,207	91.5	0.7992	-21.5	-1.78	400	-53.4	-0.9972	competitive	0.0072	0.0016	1.13	0.13	0.2475	0.0328	0.2935	-0.0328	-0.5447	849,634	59.7	3.83	389	76.2	0.4652	1.5	-0.97	1,218	-0.6632	0.4061	0.0264	0.9871	0.0224	0.0161	502,222	0.4665	-38.1	826,739	10,906	23.1	58	4.5	14.4	849,635	689	54.4	3.81	525	66.9	0.3222	6.8	-0.95	1,082	-0.5202	0.5422	0.0494	0.9608	0.0392	0.0247	311	59.36	-19.63	0.2108	689	1.8	5,557	1,538	0.1915	1,914.54	0.16	64,478	102	0.0187	187.24	48.18	277.78	14.33	120.48	1.48	72.46	0.84	60.98	0.52	54.35	-0.1	0	0	0	15.4	null	null	null	null	null	-0.1	182,090	-0.206	-61.53	506,146	-0.645	0.03	38,698	-0.013	-61.84	538,849	-0.677	-0.03	107,231	-0.122	-61.32	148,314	-0.182	0.03	-254	0.074	-61.6	-209,811	-0.237	0.02	-764	0.053	-61.65	-196,065	-0.367	-0.198	null	null	1,528	0.07	2	0.758	0.64	stable	0.07	0.47	2	2	6	63	0.701	0.706	0.707	0.748	0.626	221,055	234,514	233,522	64	724	stable	0.04	null	39.73
392D3VGZ	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	3550 E Broad St, Columbus, OH 43213	3550 E Broad St	Columbus	Ohio	Mid East	Broadleigh	43,213	US	true	39.97322	-82.906294	America/New_York	(614) 23-***	2	OPERATIONAL	true	true	null	true	Columbus	Ohio	US	https	https://mcdonalds.com/us/en-us/location/oh/columbus/3550-e-broad-st/10553.html	mcdonalds.com/us/en-us/location/oh/columbus/3550-e-broad-st/10553.html	mcdonalds.com	com	11,614	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dat(...TRUNCATED)	null	31	24	7	Classic, long-running fast-food chain known for its burgers & fries.	true	true	3.43	1,357	{"1": 316, "2": 151, "3": 368, "4": 413, "5": 671}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite, Salad bar	Breakfast, Lunch, Dinner, Dessert, Seating	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	9	2025-09-02	2026-04-23	239	6	113	239	239	6	6	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	https://youtube.com/channel/ucri5zedbs0_byy4plxd6m7w	ucri5zedbs0_byy4plxd6m7w	null	null	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,549,245	0.42	0.42	0.42	0.42	0.42	523	5,423,588	354	38,600,124	4.88	null	2.01	1.93	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-24T12:59:28.643817+00:00	608.8	3.26	1,584.57	18.3	65.6697	3.91	68.6	100	54.4	0.1259	-0.5151	-0.1702	-0.0623	0.0494	0.4146	0.12	0	41.5	52.5	25	75	0	35.71	50	14.29	47.5	47.5	5	53.66	42.68	3.66	declining	declining	-0.3449	-11	-0.2196	-21	4	14	40	82	-30	-31.7	-14.3	67.5	35.1	100	100	61.7	100	140	5,371	200	532	38,376	678	16,165	1,268,852	20,662	16,760	140	6	42	1	66	126	14	152	159	36	169	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.2513	0.0489	0.669	-0.0489	-0.4593	0.7683	0	0.0229	0	0.1868	0.5112	0.0356	0.3248	-0.0356	-0.1151	158	41	125	6	26	1	0.878	0.3902	1	0.3415	0.4146	41.9	3.15	294	65.9	0.2532	25.6	0.28	1,063	-11.5	-0.1233	66	105	14	0.48	0.168	0.896	0.112	0.12	64.4	4.12	692	76.6	0.5191	3.1	-0.69	665	-22.2	-0.3892	152	159	36	0.0443	Strong	0	0.7785	0	0	Average	75.7	4.51	1,044	87.7	Below Average	0.7345	-8.2	-1.08	313	-33.3	-0.6046	42	126	159	587	88	competitive	0.1013	13.05	46.3	22	31.7	0	3,185	1,104	competitive	0.0154	1.59	8	8	79.2	4.8	8,250	5,238	competitive	0.0082	0.5	4.4	69.6	25.9	0.0775	0.7493	-0.0775	-0.5396	163	164	163	164	37	0.0061	0	0.7791	0	0	79.5	4.58	1,065	89.8	0.7748	-12	-1.15	292	-35.4	-0.6449	competitive	0.0078	0.28	0.6	50.9	48.5	0.2362	4.39	1.43	0.2324	0.7533	-0.2324	-0.5436	184	185	185	185	43	0	0	0.7717	0	0	82.7	4.64	1,203	91.6	0.8002	-15.2	-1.21	154	-37.2	-0.6703	competitive	0.0061	0.0016	1.12	0.13	0.2315	0.0328	0.2935	-0.0328	-0.0838	849,634	59.7	3.83	389	76.2	0.4652	7.8	-0.4	968	-0.3353	0.6001	0.0899	0.9804	0.1606	0.1956	336,903	0.5611	-21.8	771,619	16,640	23.1	58	4.5	14.4	849,635	689	54.4	3.81	525	66.9	0.3222	13.1	-0.38	832	-0.1923	0.782	0.282	0.9346	0.3067	0.327	150	59.36	5.2	0.4157	689	1.8	5,557	1,538	0.1917	1,916.85	0.16	64,127	102	0.0188	187.65	102.65	238.1	2.38	79.37	0.67	62.89	0.6	60.98	0.37	54.05	-4.5	0	0	0	0	null	null	null	null	null	0	45,651	-0.021	-64.3	605,334	-0.775	0.03	66,719	-0.062	-63.97	374,008	-0.471	-0.03	120,372	-0.145	-63.61	92,851	-0.114	-0.03	192	-0.052	-63.91	-164,561	-0.123	-0.04	2,851	-0.098	-63.95	-155,131	-0.226	0.1299	null	null	1,348	0.1	3	0.867	0.775	decelerating	0.1	0.7	3	3	13	83	0.799	0.804	0.804	0.856	0.761	159,052	168,566	167,958	41	486	decelerating	0	null	64.56
HVFKSE34	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	1972 N High St, Columbus, OH 43201	1972 N High St	Columbus	Ohio	University District	The Ohio State University	43,201	US	true	40.002667	-83.008122	America/New_York	(614) 29-***	1	OPERATIONAL	true	true	null	true	Columbus	Ohio	US	https	https://mcdonalds.com/us/en-us/location/oh/columbus/1972-n-high-st/782.html	mcdonalds.com/us/en-us/location/oh/columbus/1972-n-high-st/782.html	mcdonalds.com	com	11,614	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dataset@us.mcd.com, purchase_da(...TRUNCATED)	realdomain	33	26	7	Classic, long-running fast-food chain known for its burgers & fries.	true	true	3.06	1,233	{"1": 401, "2": 151, "3": 351, "4": 284, "5": 517}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert, Seating	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-09-02	2026-03-04	239	56	101	239	239	56	56	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	null	null	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,549,245	0.37	null	0.17	0.38	0.37	523	5,423,588	354	38,600,124	4.88	null	2.01	1.93	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-24T12:59:00.086714+00:00	608.8	5.43	1,578.67	18.3	65.6697	3.91	61.2	100	43.1	-0.0533	-1	-0.3889	-0.2696	-0.1961	0.0297	0	0	30.6	40.2	0	100	0	29.41	64.71	5.88	33.33	59.26	7.41	38.38	56.57	5.05	declining	declining	-0.6111	-9.6	-0.1928	-23.9	4	17	54	99	-37	-31.3	-29.4	61.5	35.1	100	100	41.5	100	175	5,735	248	716	40,591	892	21,651	1,329,006	27,517	22,823	175	64	102	3	140	146	32	139	143	32	195	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.2458	0.0545	0.6913	-0.0545	-0.9987	0.4594	0.0372	0.2804	-0.0372	-0.5878	0.2524	0.0496	0.5995	-0.0496	-0.9069	142	101	145	64	97	3	0.3762	0.0495	0.9802	0.0099	0.0297	57.9	4.22	340	79.7	0.5303	3.6	-1.16	893	-36.6	-0.5805	140	146	32	0.0414	0	0.7862	0	0	75.1	4.51	916	87.8	0.7253	-13.6	-1.45	317	-44.7	-0.7755	139	143	32	0.0282	Average	0	0.7817	0	0	Below Average	76.5	4.53	992	88.4	Below Average	0.753	-15	-1.47	241	-45.3	-0.8032	102	146	143	555	30	competitive	0.0347	32.15	19.8	11.9	63.4	5	3,199	1,005	competitive	0.0092	1.85	4.1	0	75.9	20	7,611	5,006	competitive	0.0087	0.45	2.8	71.8	25.4	0.0775	0.7517	-0.0775	-1.0591	163	164	163	164	45	0.0061	0	0.7301	0	0	79.5	4.58	1,062	89.8	0.7748	-18	-1.52	171	-46.7	-0.825	competitive	0.0071	0.28	0.6	50.9	48.5	0.2215	4.39	1.43	0.2327	0.753	-0.2327	-1.0604	184	185	185	185	53	0	0	0.7174	0	0	82.7	4.64	1,214	91.5	0.7999	-21.2	-1.58	19	-48.4	-0.8501	competitive	0.0055	0.0016	1.12	0.13	0.2152	0.0328	0.2935	-0.0328	-0.6009	849,634	59.7	3.83	389	76.2	0.4652	1.8	-0.77	844	-0.5154	0.4143	0.0435	0.9733	0.0308	0.0311	495,201	0.4708	-33.1	812,014	22,608	23.1	58	4.5	14.4	849,635	689	54.4	3.81	525	66.9	0.3222	7.1	-0.75	708	-0.3724	0.561	0.1206	0.9215	0.0567	0.0712	300	59.36	-1.76	0.3081	689	1.8	5,557	1,538	0.1911	1,911.24	0.16	64,127	102	0.0189	189.31	12.03	98.04	0.85	68.49	0.75	69.93	0.5	60.98	0.3	54.05	-3.4	0	0	0	-3.4	null	null	null	null	null	-0.14	323,195	-0.41	-59.14	316,696	-0.401	-0.02	62,294	-0.075	-58.83	-82,083	0.119	0.01	41,195	-0.042	-58.88	-6,139	0.018	-0.01	75	-0.015	-59.29	-224,870	-0.207	-0.02	1,601	-0.041	-59.45	-211,537	-0.333	-0.0502	null	null	1,227	0.1	3	0.867	0.775	decelerating	0.1	0.7	3	3	20	101	0.799	0.804	0.804	0.856	0.761	159,052	168,566	167,958	41	486	decelerating	-0.07	null	57.6
ZCJBJ4CQ	Olive Garden Italian Restaurant	Food and Drink	Restaurants	Italian restaurant	"Italian restaurant, Caterer, Family restaurant, Gluten-free restaurant, Takeout Restaurant, Mediter(...TRUNCATED)	7160 Sawmill Rd, Columbus, OH 43235	7160 Sawmill Rd	Columbus	Ohio	Foxboro	Foxboro	43,235	US	true	40.110628	-83.089909	America/New_York	(614) 79-***	2	null	true	true	null	true	Columbus	Ohio	US	https	https://olivegarden.com/locations/oh/columbus/columbus-sawmill-rd/1129	olivegarden.com/locations/oh/columbus/columbus-sawmill-rd/1129	olivegarden.com	com	10,530	1997-06-30	2026-10-12	MarkMonitor, Inc.	"purchase_dataset@darden.com, purchase_dataset@darden.com, purchase_dataset@olivegarden.com, purchas(...TRUNCATED)	realdomain	7	7	0	Lively, family-friendly chain featuring Italian standards such as pastas & salads.	true	true	4.18	1,488	{"1": 136, "2": 104, "3": 231, "4": 698, "5": 1679}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, 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, Hard liquor, Small plates, Vegan options, Vegetaria(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	7	2025-06-06	2026-04-09	327	20	101	327	327	20	20	https://www.instagram.com/olivegarden	olivegarden	https://www.facebook.com/olivegarden	olivegarden	https://twitter.com/olivegarden125	olivegarden125	https://www.tiktok.com/@olivegarden	olivegarden	https://www.linkedin.com/company/olivegarden	olivegarden	https://www.youtube.com/olivegarden	olivegarden	null	null	null	null	null	null	772,242	0.98	null	0.31	0.71	0.98	2,311	237,539	154	7,244,246	11.32	9.5	12.38	9.62	11.32	https://olivegarden.com/menu/classic-entrees?setrestaurant=1129	null	null	2026-04-24T04:49:58.825745+00:00	137.89	2.11	2,101.62	23.5	106.632	4.35	83.6	100	80	0.5659	0.4334	0.3611	0.4346	0.4866	0.6667	0.2328	0.1042	68.1	74.3	70	30	0	66.67	33.33	0	71.11	24.44	4.44	74.76	22.33	2.91	improving	declining	0.0723	-6.2	-0.1255	-8.3	10	12	45	103	-46.7	-53.4	150	74.3	35.1	100	100	46.8	100	110	3,644	159	422	25,992	534	12,872	894,641	16,489	13,294	110	5	40	2	67	117	4	122	145	8	128	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.3868	0.0719	0.678	-0.0719	-1.0113	0.8205	0.0244	0.2157	-0.0244	-0.549	0.5319	0.0623	0.5581	-0.0623	-0.8914	144	39	116	5	18	2	0.8974	0.5641	0.9744	0.5385	0.6667	47.3	3.92	406	72.2	0.3792	27	0.26	1,082	7.8	0.1503	67	91	4	0.431	0.2241	0.9741	0.2155	0.2328	71	4.39	651	84.6	0.6557	3.3	-0.21	837	-4.6	-0.1262	122	127	8	0.1597	Market Leader	0.125	0.9514	0.1667	0.1042	Average	76.1	4.46	866	86.7	Below Average	0.7096	-1.8	-0.28	622	-6.7	-0.1801	40	117	145	540	51	competitive	0.086	12.41	33.3	25.6	38.5	2.6	2,882	1,021	competitive	0.0193	1.48	7.8	0	76.7	15.5	7,449	5,020	competitive	0.0118	0.46	2.8	76.4	20.8	0.0775	0.7578	-0.0775	-1.0911	163	164	154	160	27	0.0613	0.0245	0.8405	0.0368	0.0307	79.5	4.58	1,059	89.9	0.7776	-5.2	-0.4	429	-9.9	-0.2481	competitive	0.0085	0.28	0.6	50.9	48.5	0.284	4.39	1.43	0.2291	0.7549	-0.2291	-1.0882	184	185	181	184	36	0.0217	0.0054	0.8098	0.0109	0.0109	82.8	4.64	1,201	91.6	0.8001	-8.5	-0.46	287	-11.6	-0.2706	competitive	0.0067	0.0016	1.12	0.13	0.2532	0.0328	0.2935	-0.0328	-0.6268	849,634	59.7	3.83	389	76.2	0.4652	14.6	0.35	1,099	0.0643	0.8235	0.3677	0.9844	0.4778	0.5026	147,459	0.735	3.8	531,709	13,226	23.1	58	4.5	14.4	849,635	2,538	52.6	4.19	366	76.3	0.4793	21.7	-0.01	1,122	0.0502	0.8364	0.3536	0.9732	0.46	0.484	410	57.67	20.47	0.503	2,538	1.8	5,557	1,538	0.1906	1,906.02	0.16	64,127	102	0.0187	187.25	73.89	250	3.74	85.47	1.39	68.97	0.73	60.98	0.45	54.05	-2	0	-9	0	7.7	null	null	null	null	null	-0.03	141,621	-0.15	-81.92	709,250	-0.921	0	68,870	-0.075	-81.44	257,273	-0.332	0	57,742	-0.063	-81.27	186,263	-0.245	-0.01	-54	0.017	-81.38	-32,210	-0.044	-0.02	230	-0.005	-81.39	-29,639	-0.075	0.5295	null	null	1,034	0.1	3	0.727	0.684	decelerating	0.1	0.7	3	3	19	102	0.799	0.804	0.804	0.707	0.648	159,052	168,566	167,958	17	145	decelerating	0.07	null	78.14
PTU25795	Applebee's Grill + Bar	Food and Drink	Restaurants	Restaurant	"Restaurant, American restaurant, Bar & grill, Diner, Family restaurant, Hamburger restaurant, Steak(...TRUNCATED)	1161 Polaris Pkwy, Columbus, OH 43240	1161 Polaris Pkwy	Columbus	Ohio	Far North	Polaris	43,240	US	true	40.142189	-82.989053	America/New_York	(614) 84-***	2	null	true	true	null	true	Columbus	Ohio	US	https	https://restaurants.applebees.com/en-us/oh/columbus/1161-polaris-parkway-95004	restaurants.applebees.com/en-us/oh/columbus/1161-polaris-parkway-95004	restaurants.applebees.com	com	11,241	1995-07-20	2026-07-19	MarkMonitor, Inc.	purchase_dataset@applemetro.com	null	1	1	0	Full-service chain bar & grill providing hearty American eats in an informal setting.	true	true	3.56	1,500	{"1": 307, "2": 143, "3": 238, "4": 378, "5": 816}	Curbside pickup, 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)	Breakfast, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-08-20	2026-01-23	252	96	24	252	252	96	96	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	651,549	1.3	null	null	1.39	1.3	2,521	null	null	null	null	null	null	null	null	https://applebees.com/en/menu	null	null	2026-04-24T04:49:00.900415+00:00	70.78	4.55	1,527.01	29.2	65.6697	5.25	71.2	100	60.6	0.2384	-0.1617	-0.1409	-0.0572	-0.138	0.19	0.0877	0.007	43	43.1	42.86	57.14	0	43.33	56.67	0	50	48.68	1.32	44.37	54.23	1.41	stable	stable	-0.0208	-0.1	-0.0029	-0.2	14	30	76	142	-21.1	-15.5	40	66.5	36.8	72	100	53.3	100	106	5,199	155	412	37,138	521	12,618	1,234,841	16,179	13,034	106	52	101	1	98	115	2	134	144	6	163	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.3196	0.0648	0.5937	-0.0648	-0.661	0.55	0.0126	0.234	-0.0126	-0.3013	0.3754	0.0293	0.5651	-0.0293	-0.6324	143	100	114	52	83	1	0.49	0.18	1	0.18	0.19	56.7	3.96	535	73.4	0.4647	9.8	-0.4	965	-12.8	-0.2199	98	108	2	0.1491	0.0614	0.9912	0.0702	0.0877	69.7	4.27	665	80.9	0.5971	-3.2	-0.71	835	-20.3	-0.3523	134	143	6	0.0699	Average	0.007	0.965	0.007	0.007	Below Average	73.1	4.45	713	86.5	Below Average	0.7053	-6.6	-0.89	787	-25.9	-0.4605	101	115	144	606	50	competitive	0.0273	31.83	21	15	62	2	2,892	1,007	competitive	0.0194	1.45	6.1	0.9	85.1	7.9	7,766	5,038	competitive	0.0145	0.46	6.3	78.3	15.4	0.0775	0.7558	-0.0775	-0.8231	163	164	163	164	27	0.0061	0	0.8405	0	0	79.5	4.58	1,062	89.9	0.7761	-13	-1.02	438	-29.3	-0.5313	competitive	0.0086	0.28	0.6	50.9	48.5	0.2546	4.39	1.43	0.227	0.7497	-0.227	-0.817	183	184	184	184	37	0	0	0.8033	0	0.0055	82.7	4.64	1,206	91.5	0.7996	-16.2	-1.08	294	-30.9	-0.5548	competitive	0.0067	0.0016	1.13	0.13	0.241	0.0328	0.2935	-0.0328	-0.3608	849,634	59.7	3.83	389	76.2	0.4652	6.8	-0.27	1,111	-0.2204	0.5668	0.1173	0.9847	0.202	0.2528	365,206	0.5573	-15.6	748,076	12,960	23.1	58	4.5	14.4	849,635	2,538	52.6	4.19	366	76.3	0.4793	13.9	-0.63	1,134	-0.2345	0.6192	0.1206	0.9744	0.2097	0.2436	965	57.67	11.3	0.4044	2,538	1.8	5,557	1,538	0.1911	1,910.79	0.16	64,478	102	0.0187	187.1	7.45	99.01	3.77	86.96	2.1	69.44	0.74	60.98	0.46	54.35	-0.8	0	-8	0.2	-1.7	null	null	null	null	null	-0.1	263,651	-0.325	-67.22	452,289	-0.583	0	84,918	-0.094	-67.12	213,596	-0.269	0	39,365	-0.031	-67.13	250,970	-0.32	0.02	-159	0.048	-67.22	-124,618	-0.226	0.01	-325	0.031	-67.26	-113,563	-0.34	0.2448	null	null	1,473	0.13	4	0.937	0.93	decelerating	0.13	0.93	4	4	17	132	0.855	0.859	0.859	0.878	0.841	119,501	126,570	126,222	37	222	decelerating	-0.04	null	68.97
FU5TBHV6	Applebee's Grill + Bar	Food and Drink	Restaurants	Restaurant	"Restaurant, American restaurant, Bar & grill, Diner, Family restaurant, Hamburger restaurant, Steak(...TRUNCATED)	5561 Westchester Woods Blvd, Hilliard, OH 43026	5561 Westchester Woods Blvd	Columbus	Ohio	Sweetwater	Sweetwater	43,026	US	true	39.984965	-83.152389	America/New_York	(614) 52-***	2	null	true	true	null	true	Columbus	Ohio	US	https	https://restaurants.applebees.com/en-us/oh/hilliard/5561-westchester-woods-blvd-93050	restaurants.applebees.com/en-us/oh/hilliard/5561-westchester-woods-blvd-93050	restaurants.applebees.com	com	11,241	1995-07-20	2026-07-19	MarkMonitor, Inc.	purchase_dataset@applemetro.com	null	1	1	0	Full-service chain bar & grill providing hearty American eats in an informal setting.	true	true	3.5	1,587	{"1": 331, "2": 184, "3": 276, "4": 473, "5": 844}	Curbside pickup, No-contact delivery, Delivery, Drive-through, 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)	Breakfast, 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	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-08-20	2026-01-23	252	96	24	252	252	96	96	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	651,549	1.3	null	null	1.39	1.3	2,521	null	null	null	null	null	null	null	null	https://applebees.com/en/menu	null	null	2026-04-24T04:48:34.499238+00:00	70.78	3.41	1,530.36	29.2	65.6697	5.25	70	100	59.5	0.1979	-0.7167	-0.6506	-0.1257	-0.0689	0.2909	0.2358	0.0231	17.5	46.6	12.5	87.5	0	18.75	81.25	0	46.97	48.48	4.55	48.72	47.86	3.42	declining	declining	-0.0661	-29.1	-0.5817	-62.4	8	16	66	117	-51.5	-45.3	50	64.5	35.1	72	100	43.5	100	87	5,273	131	342	37,706	436	10,957	1,249,909	14,119	11,329	87	29	56	5	51	107	8	120	131	6	164	3,291	6,878	23,684	48,283	786,928	1,595,281	786,928	0.3292	0.0115	0.524	-0.0115	-0.8583	0.5509	0.028	0.2185	-0.028	-0.5528	0.5566	0.0097	0.1932	-0.0097	-0.5275	130	55	106	29	42	5	0.4909	0.2545	0.9273	0.2545	0.2909	55.8	3.67	681	70.9	0.3697	8.7	-0.17	906	-11.4	-0.1654	51	84	8	0.5283	0.217	0.934	0.2264	0.2358	59.4	4.07	624	75.6	0.4811	5.1	-0.57	963	-16.1	-0.2768	120	128	6	0.0846	Average	0.0231	0.9615	0.0231	0.0231	Average	72.3	4.4	713	84.9	Below Average	0.674	-7.8	-0.9	874	-25.4	-0.4697	56	107	131	422	94	competitive	0.0407	17.51	23.6	16.4	56.4	3.6	3,519	1,055	competitive	0.0234	1.35	9.4	31.1	57.5	1.9	7,841	5,053	competitive	0.0168	0.41	5.4	80.8	13.8	0.0775	0.7524	-0.0775	-1.0867	163	164	163	164	25	0.0061	0	0.8528	0	0	79.5	4.58	1,064	89.8	0.7754	-15	-1.08	523	-30.3	-0.5711	competitive	0.0091	0.28	0.6	50.9	48.5	0.2583	4.39	1.43	0.2216	0.7529	-0.2216	-1.0872	184	185	185	185	33	0	0	0.8261	0	0	82.8	4.64	1,205	91.6	0.8007	-18.3	-1.14	382	-32.1	-0.5964	competitive	0.0071	0.0016	1.12	0.13	0.2478	0.0328	0.2935	-0.0328	-0.6278	849,634	59.7	3.83	389	76.2	0.4652	4.8	-0.33	1,198	-0.2609	0.5027	0.103	0.9867	0.1925	0.23	419,851	0.528	-16.7	758,826	11,264	23.1	58	4.5	14.4	849,635	2,538	52.6	4.19	366	76.3	0.4793	11.9	-0.69	1,221	-0.275	0.5696	0.1108	0.9799	0.2014	0.2255	1,089	57.67	9.7	0.3985	2,538	1.8	5,557	1,538	0.1915	1,914.54	0.16	64,127	102	0.0188	187.86	16.53	178.57	5.49	93.46	2.83	76.34	0.82	60.98	0.51	54.05	-1.7	0.01	-12	0.2	-1.7	null	null	null	null	null	-0.12	253,638	-0.308	-66.48	480,463	-0.619	0.05	50,802	-0.032	-66.59	556,374	-0.706	-0.01	77,370	-0.08	-66.37	275,381	-0.35	0.01	-74	0.025	-66.43	-132,392	-0.255	0	384	0.004	-66.48	-120,312	-0.376	0.2043	null	null	1,575	0.1	3	0.867	0.775	decelerating	0.1	0.7	3	3	18	118	0.799	0.804	0.804	0.839	0.783	159,052	168,566	167,958	43	268	decelerating	-0.03	null	67.37

End of preview. Expand in Data Studio

Top 30% Active Restaurant Whales in Columbus, US

Free sample dataset from BeamStation

: Dataset: Top 30% Active Restaurant Whales in Columbus, US. This weekly‑updated collection contains 205 records of restaurants that rank in the top 30% of the Columbus market for sustained foot traffic and review volume, as validated by an Active Heartbeat signal. Each record represents a high‑velocity, actively transacting establishment, making the data ideal for payment processors, POS vendors, and supply‑chain sales teams seeking to target businesses with proven, consistent customer engagement. The dataset focuses exclusively on the Columbus area, offering a current snapshot of the most active dining venues for outreach, partnership development, or market analysis. Refresh cadence ensures users receive the latest weekly snapshot of activity levels.

Dataset Details

Field	Value
Full dataset	205 records
Sample size	20 records
Location	Columbus
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (498 total)

Column List

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/top-30-active-restaurant-whales-in-columbus-us-145725")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 205 records and unmasked contact data is available at:

Top 30% Active Restaurant Whales in Columbus, US on BeamStation

License

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

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