Datasets:

beamstation
/

top-30-active-restaurant-whales-in-columbus-us-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	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	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 float64	social_username_github float64	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	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_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall 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
X87JXZ6K	Moretti's of Dublin	Food and Drink	Restaurants	Italian restaurant	Italian restaurant	5849 Sawmill Rd, Dublin, OH 43017	5849 Sawmill Rd	Columbus	Ohio	Riverside	Riverside	43,017	US	true	40.086243	-83.092901	America/New_York	(614) 71-***	2	null	true	Columbus	Ohio	US	https	https://morettisofdublin.com	morettisofdublin.com	morettisofdublin.com	com	2,331	2019-11-12	2026-11-12	Tucows Domains Inc.	null	null	0	0	0	Bright & welcoming fixture for Italian fare, from pizza to fresh pasta, plus frequent specials.	4.61	940	{"1": 38, "2": 18, "3": 36, "4": 100, "5": 772}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great wine list, 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, Vegetarian options,(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Upscale	Groups	Dinner reservations recommended, Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	1	null	null	https://www.facebook.com/morettissawmill	morettissawmill	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://places.singleplatform.com/morettis/menu	null	null	2026-03-31T14:35:33.016710+00:00	0	13.33	1.6	1,506.89	89.3	65.6697	3.92	92.2	99.1	90.4	0.8209	1	0.7067	0.699	0.7768	0.4092	0.7921	0.7952	85.3	88.8	100	0	86.67	6.67	6.67	83.87	9.68	6.45	89.55	7.46	2.99	improving	declining	0.2933	-3.5	-0.0701	-3.9	1	15	31	67	75.9	69	8	67	87.8	60	543	1,693	725	3,969	11,132	4,985	109,061	388,237	151,356	118,232	543	348,857	39	306,478	155,595	101	202,106	174,264	101	300,293	55	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.7043	0.4338	0.6863	0.5662	0.0204	0.5828	0.2316	0.387	0.7684	0.3197	0.7598	0.4007	0.563	0.5993	0.1437	100	38	100	348,857	237,626	306,478	0.5191	0.6682	0.5824	0.6982	0.4092	65.2	4.16	463	81	0.4584	11.4	0.45	477	9.4	0.3626	155,595	170,363	202,106	0.7851	0.7568	0.7289	0.7575	0.7921	77.7	4.39	885	84.6	0.6554	-1.1	0.22	55	5.8	0.1656	174,264	170,243	300,293	0.7542	Average	0.7482	0.594	0.7716	0.7952	Strong	79.5	4.46	959	86.9	Strong	0.6959	-2.9	0.15	-19	3.5	0.1251	39	101	101	558	32	competitive	0.0507	12.1	2.6	26.3	57.9	13.2	3,000	1,011	competitive	0.0105	1.27	0	59	41	7,461	5,111	competitive	0.0097	0.32	49	51	0.3297	0.7346	0.6703	-0.0279	100	101	521	1,040	574	0.8531	0.7062	0.8404	0.7769	0.9049	81.3	4.56	1,365	89.5	0.7462	-4.7	0.05	-425	0.9	0.0748	competitive	0.0068	0.17	29	71	0.8052	3.95	0.9	0.3062	0.8049	0.6938	-0.0982	100	101	4,160	5,456	4,397	0.8316	0.7768	0.8244	0.8167	0.9151	83.2	4.66	1,550	92	0.7774	-6.6	-0.05	-610	-1.6	0.0436	competitive	0.006	0.0009	1	0.07	0.813	0.2094	0.3682	0.7906	0.3385	828,388	62.9	3.88	394	76.6	0.4737	13.7	0.73	546	0.3473	0.8333	0.7213	0.8483	0.7838	0.8885	135,678	0.8042	13.8	225,286	125,475	24.3	58.7	7.7	9.2	828,389	2,641	60.2	4.18	366	75.8	0.4412	16.4	0.43	574	0.3798	0.836	0.6712	0.8508	0.7598	0.9	427	51.13	42.52	0.9333	2,641	1.1	9,057	1,538	0.1507	1,506.89	0.08	117,994	102	0.0131	131.4	25.72	256.41	1.1	99.01	0.94	99.01	0.47	99.01	0.36	99.01	1.2	0	3	0	-16	null	null	null	null	null	-0.05	84,615	-0.115	0.58	348,856	0.519	0	6,589	-0.011	0.76	155,588	0.785	0.02	-33,687	0.044	0.7	174,245	0.754	0.02	-159,112	0.06	0.81	521	0.853	0.41	-459,239	0.465	0.81	4,160	0.832	0.821	100	0	940	0.4	12	0.696	0.805	accelerating	0.4	2.8	12	12	29	81	0.92	0.923	0.923	0.696	0.805	66,515	69,132	69,106	15	69	accelerating	0	null	93.65
WF4WH75M	First Watch	Food and Drink	Restaurants	Breakfast restaurant	"Breakfast restaurant, Brunch restaurant, Family restaurant, Health food restaurant, Lunch restauran(...TRUNCATED)	3800 Fishinger Blvd, Hilliard, OH 43026	3800 Fishinger Blvd	Columbus	Ohio	Mill Run	Mill Run	43,026	US	true	40.031425	-83.114057	America/New_York	(614) 87-***	2	null	true	Columbus	Ohio	US	http	http://firstwatch.com/locations/mill-run	firstwatch.com/locations/mill-run	firstwatch.com	com	9,828	1999-05-03	2029-05-03	Network Solutions, LLC	"purchase_dataset@firstwatch.com, purchase_dataset@firstwatch.com, purchase_dataset@firstwatch.com, (...TRUNCATED)	realdomain	11	10	1	Cafe chain for health-minded breakfast, brunch & lunch options such as omelets, salads & soups.	4.57	1,059	{"1": 31, "2": 19, "3": 53, "4": 185, "5": 851}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great tea selection, Serves local specialty	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Coffee, Comfort food, Healthy options, Organic dishes, Quick bite, Small plates, Vegan opt(...TRUNCATED)	Breakfast, Brunch, Lunch, 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	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/firstwatch	firstwatch	https://www.facebook.com/firstwatch	firstwatch	https://twitter.com/first_watch	first_watch	https://www.tiktok.com/@firstwatch	firstwatch	https://www.linkedin.com/company/first-watch-restaurant	first-watch-restaurant	null	null	null	null	null	null	null	null	260,368	0.2	null	0.12	0.2	0.2	2,539	null	null	null	null	55,400	536	655,300	0.91	null	0.23	0.89	0.91	https://firstwatch.com/menu-pdf/january+2025+core+menu/fwr1024_jan25menu_ada_8.pdf	null	null	2026-03-31T07:34:17.793185+00:00	28.75	30	0	1,526.9	17.8	65.6697	3.92	91.4	100	90.6	0.769	1	0.8241	0.6842	0.7399	0.5763	0.5369	0.8674	91.2	87	100	0	88.24	5.88	5.88	83.72	12.79	3.49	86.78	9.77	3.45	improving	improving	0.1759	4.2	0.0842	4.8	1	17	86	174	84.8	74.3	68	83	91.3	60	354	1,875	461	2,309	12,448	2,764	67,170	431,153	88,303	72,959	354	377,359	30	251,772	297,360	101	372,895	89,068	101	172,990	80	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.8282	0.4478	0.6606	0.5522	0.0806	0.4751	0.4416	0.4446	0.5584	0.2966	0.5789	0.3565	0.542	0.6435	0.1992	100	29	100	377,359	520,027	251,772	0.4809	0.2854	0.6569	0.2751	0.5763	64.7	3.81	502	73.3	0.5064	20.4	0.76	557	17.3	0.2628	297,360	258,999	372,895	0.596	0.6343	0.5005	0.6351	0.5369	75	4.32	692	82.7	0.5837	10.1	0.25	367	7.9	0.1855	89,068	107,785	172,990	0.8691	Average	0.8361	0.7659	0.8587	0.8674	Average	80.5	4.5	1,137	88	Market Leader	0.7125	4.6	0.07	-78	2.6	0.0567	30	101	101	361	49	competitive	0.0678	9.23	13.8	17.2	48.3	20.7	3,981	1,220	competitive	0.0151	1.27	2	78	20	7,574	5,117	competitive	0.0092	0.32	37	63	0.3197	0.7331	0.6803	0.0081	100	101	29	1,135	389	0.9914	0.681	0.8919	0.7869	0.8531	81.2	4.56	1,371	89.4	0.745	3.9	0.01	-312	1.2	0.0242	competitive	0.0077	0.17	30	70	0.8684	3.95	0.9	0.3062	0.7947	0.6938	-0.0535	100	101	169	6,142	2,591	0.9926	0.7483	0.8956	0.8241	0.8573	83.2	4.66	1,547	91.9	0.7765	1.9	-0.09	-488	-1.3	-0.0073	competitive	0.0068	0.0009	1	0.07	0.8902	0.2094	0.3682	0.7906	0.373	828,388	62.9	3.88	394	76.6	0.4737	22.2	0.69	665	0.2955	0.9914	0.6908	0.9061	0.7893	0.8251	6,732	0.8756	14	249,567	76,991	24.3	58.7	7.7	9.2	828,389	2,641	60.2	4.18	366	75.8	0.4412	24.9	0.39	693	0.328	0.9905	0.6428	0.9053	0.7663	0.8398	26	51.13	40.5	0.8924	2,641	1.1	9,057	1,538	0.1513	1,513.13	0.08	117,994	102	0.0131	131.14	45.97	333.33	2.27	99.01	0.85	99.01	0.59	99.01	0.46	99.01	-2.6	0	10	0.1	-17.4	null	null	null	null	null	-0.01	-6,387	0.009	0.48	377,358	0.481	0.01	-5,660	0.007	0.58	297,359	0.596	0.02	-35,251	0.045	0.83	89,066	0.869	0.08	-159,604	0.199	0.87	29	0.991	0.5	-463,230	0.626	0.89	169	0.993	0.7692	100	0	1,059	0.9	27	0.917	0.922	accelerating	0.9	6.3	27	27	56	206	0.977	0.978	0.978	0.917	0.922	20,298	21,055	21,051	6	25	accelerating	0.5	null	91.63
KSSJKAUK	Mazah Mediterranean Eatery	Food and Drink	Restaurants	Mediterranean restaurant	"Mediterranean restaurant, Bar, Caterer, Greek restaurant, Lebanese restaurant, Middle Eastern resta(...TRUNCATED)	1453 Grandview Ave, Columbus, OH 43212	1453 Grandview Ave	Columbus	Ohio	Fifth by Northwest	Tri-Village	43,212	US	true	39.987428	-83.044822	America/New_York	(614) 48-***	2	null	true	Columbus	Ohio	US	http	http://mazah-eatery.com	mazah-eatery.com	mazah-eatery.com	com	5,816	2010-04-28	2027-04-28	NAMECHEAP INC	purchase_dataset@gmail.com, purchase_dataset@gmail.com	null	2	2	0	Casual, family-run Mediterranean joint serving classic & vegan dishes plus cocktails & Arak.	4.67	974	{"1": 17, "2": 17, "3": 49, "4": 139, "5": 813}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great coffee, Great dessert, Great tea selection, Great wine list, Serves local speci(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, LGBTQ+ friendly	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	5	https://www.instagram.com/mazaheatery	mazaheatery	https://www.facebook.com/mazaheatery	mazaheatery	https://twitter.com/mazah_eatery	mazah_eatery	null	null	https://www.linkedin.com/in/maggie-ailabouni-02113050	maggie-ailabouni-02113050	null	null	null	null	null	null	https://www.pinterest.com/mazahmedeatery	mazahmedeatery	3,351	1.89	null	null	1.89	1.89	1,175	null	null	null	null	null	null	null	null	null	null	null	null	https://mazah-eatery.com/images/2021-mazah-menu.pdfloads/2014/09/carry-out-menu-mazah-final-to-send-to-fadi-.pdf	null	null	2026-03-31T05:23:21.404441+00:00	0.37	10	0.1	1,542.28	17.8	65.6697	3.92	93.4	99.6	92.2	0.8383	0.5	0.9444	0.9337	0.9352	0.6681	0.7928	0.7675	97.2	96.8	100	0	100	0	0	97.37	2.63	0	97.5	2.5	0	declining	stable	-0.4444	0.4	0.0092	0.4	1	9	38	80	86.3	67.2	80	83	96.4	60	521	1,431	686	3,749	9,162	4,684	102,825	324,467	142,520	111,655	521	275,830	74	292,277	93,634	101	91,466	174,264	101	149,926	38	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.7788	0.3853	0.6333	0.1147	0.3111	0.58	0.2635	0.4051	0.2365	0.5393	0.8641	0.3413	0.6463	0.1587	0.2981	100	73	100	275,830	355,826	292,277	0.6187	0.5063	0.6019	0.7033	0.6681	66.5	4.01	473	81.1	0.535	20.5	0.66	501	11.1	0.3027	93,634	106,628	91,466	0.8695	0.8437	0.8773	0.8423	0.7928	79.1	4.45	1,111	86.2	0.6556	7.9	0.22	-137	6	0.1821	174,264	136,818	149,926	0.7542	Average	0.7933	0.797	0.8132	0.7675	Market Leader	79.5	4.48	1,179	87.4	Strong	0.69	7.5	0.19	-205	4.8	0.1477	74	101	101	436	12	competitive	0.0275	23.24	8.2	16.4	56.2	19.2	3,560	1,513	competitive	0.0087	1.27	0	54	46	7,628	5,063	competitive	0.0082	0.32	45	55	0.3347	0.7298	0.1653	0.2146	100	101	11	907	556	0.9972	0.7428	0.8459	0.8268	0.9193	81.2	4.56	1,371	89.4	0.744	5.8	0.11	-397	2.8	0.0937	competitive	0.0071	0.17	29	71	0.8755	3.95	0.9	0.3162	0.7938	0.1838	0.1506	100	101	55	4,520	4,120	0.9977	0.8128	0.8355	0.8654	0.9318	83.2	4.66	1,547	91.9	0.7744	3.8	0.01	-573	0.3	0.0633	competitive	0.0063	0.0009	1	0.07	0.8936	0.2094	0.3682	0.2906	0.5762	828,388	62.9	3.88	394	76.6	0.4737	24.1	0.79	580	0.364	0.9973	0.7609	0.8568	0.8316	0.9056	2,057	0.8842	15.6	191,387	118,445	24.3	58.7	7.7	9.2	828,389	2,641	60.2	4.18	366	75.8	0.4412	26.8	0.49	608	0.3965	0.997	0.7144	0.8564	0.8091	0.9152	9	51.13	43.36	0.9424	2,641	1.1	9,057	1,538	0.1514	1,513.67	0.08	117,994	102	0.0131	131.12	7.54	135.14	0.76	99.01	0.67	99.01	0.5	99.01	0.39	99.01	-0.3	0.01	5	0	-18.6	null	null	null	null	null	-0.03	34,490	-0.047	0.58	275,829	0.619	0	-3,065	0.003	0.86	93,631	0.87	-0.02	32,865	-0.047	0.78	174,261	0.754	0.09	-159,622	0.205	0.88	11	0.997	0.5	-463,344	0.631	0.89	55	0.998	0.8377	100	0	974	0.3	9	0.586	0.66	accelerating	0.3	2.1	9	9	21	91	0.873	0.878	0.878	0.586	0.66	101,285	105,220	105,139	12	44	accelerating	0.07	null	94.49
HMRPUPDD	Bendi Wok n' Bar	Food and Drink	Restaurants	Asian restaurant	Asian restaurant	277 E Livingston Ave, Columbus, OH 43215	277 E Livingston Ave	Columbus	Ohio	German Village	German Village Commission	43,215	US	true	39.952324	-82.990983	America/New_York	(614) 75-***	2	null	true	Columbus	Ohio	US	https	https://bendiwoknbar.com	bendiwoknbar.com	bendiwoknbar.com	com	1,901	2021-01-15	2027-01-15	GoDaddy.com, LLC	null	null	0	0	0	Chinese, Vietnamese & Thai cuisine in an exotic restaurant, plus cocktails, take-out & delivery.	4.46	827	{"1": 49, "2": 23, "3": 47, "4": 82, "5": 623}	Outdoor seating, No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Great cocktails, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Comfort food, Happy hour drinks, Hard liquor, Healthy options, Late-night(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Dinner reservations recommended, Accepts reservations	Checks, Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	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://bendiwoknbar.com/food	https://opentable.com/restaurant/profile/1219267	https://opentable.com/restaurant/profile/1219267	2026-03-31T04:47:29.871450+00:00	0	16.67	3	1,504.31	89.4	65.6697	3.93	89.2	97.3	85.5	0.7243	1	0.7611	0.6561	0.6029	0.3732	0.7527	0.6074	88.1	80.1	100	0	86.67	10	3.33	81.82	16.88	1.3	80.35	17.92	1.73	improving	improving	0.2389	8	0.1582	10	1	30	77	173	69.9	55.5	0	50	88	60	661	2,406	886	4,862	16,435	6,158	133,102	562,442	186,125	143,665	661	549,617	93	182,333	110,446	101	103,231	225,191	101	247,334	147	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.6444	0.3364	0.601	0.6636	0.1601	0.3758	0.1874	0.3348	0.8126	0.4263	0.8374	0.3374	0.6395	0.6626	0.1216	100	92	100	549,617	608,823	182,333	0.2497	0.1685	0.7514	0.4581	0.3732	61.2	3.66	557	76.7	0.448	9.4	0.8	270	8.8	0.2732	110,446	137,691	103,231	0.8466	0.8008	0.8615	0.8006	0.7527	78.7	4.42	1,075	85.4	0.6431	-8.1	0.04	-248	0.1	0.0781	225,191	303,373	247,334	0.6852	Below Average	0.5689	0.6655	0.5709	0.6074	Market Leader	78.9	4.38	1,027	84.4	Average	0.6554	-8.3	0.08	-200	1.1	0.0658	93	101	101	725	7	competitive	0.0159	29.28	16.3	25	41.3	17.4	2,905	1,048	competitive	0.0076	1.27	0	58	42	7,547	5,056	competitive	0.008	0.32	53	47	0.3397	0.7378	0.6603	0.0233	100	101	1,083	1,421	693	0.6984	0.5995	0.8079	0.6491	0.8018	81.3	4.56	1,363	89.6	0.7468	-10.7	-0.1	-536	-4.1	-0.0256	competitive	0.006	0.17	28	72	0.7016	3.95	0.9	0.3062	0.8018	0.6938	-0.0407	100	101	9,021	8,439	5,424	0.6373	0.6562	0.7834	0.6678	0.7826	83.1	4.66	1,555	92	0.7794	-12.5	-0.2	-728	-6.5	-0.0582	competitive	0.0053	0.0009	1	0.07	0.6868	0.2094	0.3682	0.7906	0.3929	828,388	62.9	3.88	394	76.6	0.4737	7.7	0.58	433	0.2475	0.6504	0.5965	0.8157	0.6287	0.7553	286,885	0.6838	8.9	327,240	152,418	24.3	58.7	7.7	9.2	828,389	2,641	60.2	4.18	366	75.8	0.4412	10.4	0.28	461	0.28	0.6799	0.5553	0.822	0.6208	0.7864	843	51.13	36.46	0.7917	2,641	1.1	9,057	1,538	0.1504	1,504.31	0.08	117,994	102	0.0132	131.77	2.53	107.53	0.58	99.01	0.64	99.01	0.36	99.01	0.28	99.01	1	0	2	0	-26.3	null	null	null	null	null	-0.01	22,881	-0.03	0.38	549,616	0.25	0	-728	-0.001	0.84	110,443	0.847	0.01	-13,644	0.016	0.64	225,184	0.685	-0.09	-158,550	-0.094	0.7	1,083	0.698	0.27	-454,378	0.271	0.69	9,021	0.637	0.7212	100	0	827	0.5	15	0.761	0.875	stable	0.5	3.5	15	15	50	197	0.944	0.946	0.946	0.761	0.875	47,774	49,638	49,640	11	22	stable	-0.57	null	87.59
X52SSFWT	Chipotle Mexican Grill	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Caterer, Fast food restaurant	4750 Morse Rd, Columbus, OH 43230	4750 Morse Rd	Columbus	Ohio	Trouville	Trouville	43,230	US	true	40.055903	-82.866214	America/New_York	(614) 47-***	2	null	true	Columbus	Ohio	US	https	https://locations.chipotle.com/oh/columbus/4750-morse-rd	locations.chipotle.com/oh/columbus/4750-morse-rd	locations.chipotle.com	com	10,591	1997-04-01	2027-04-02	CSC Corporate Domains, Inc.	purchase_dataset@chipotle.com, purchase_dataset@chipotle.com, purchase_dataset@chipotle.com	null	3	3	0	Casual restaurant offering Mexican fare, including design-your-own burritos, tacos & bowls.	3.24	1,036	{"1": 320, "2": 77, "3": 110, "4": 235, "5": 434}	Outdoor seating, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Comfort food, Healthy options, Quick bite, Vegetarian options	Lunch, Dinner, Catering, Counter service, Seating	Restroom	Casual, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/chipotle	chipotle	https://www.facebook.com/chipotle	chipotle	null	null	null	null	https://www.linkedin.com/company/chipotle-mexican-grill	chipotle-mexican-grill	https://www.youtube.com/chipotle	chipotle	null	null	null	null	null	null	1,737,621	1.04	null	1.1	1.04	1.04	866	null	null	null	null	null	null	null	null	null	null	null	null	https://chipotle.com/menu	null	null	2026-03-29T17:43:25.373755+00:00	191.85	8.89	0	1,522.56	22.4	65.6697	3.92	64.8	100	54.6	0.0717	-1	-0.7146	-0.4611	-0.1661	0.3314	0.3703	0.2756	14.3	41.7	0	100	10.53	84.21	5.26	25.58	69.77	4.65	40.86	55.91	3.23	declining	declining	-0.2854	-27.4	-0.5485	-65.7	1	19	43	93	61.5	51.5	72	83	28.3	58	431	5,577	552	2,909	38,542	3,532	83,194	1,261,926	111,416	90,387	431	405,337	61	212,071	302,317	101	174,114	426,722	101	344,579	453	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.4192	0.4411	0.5151	-1.4411	-1.2297	0.4818	0.2097	0.2687	-1.2097	-0.9833	0.5771	0.2704	0.4243	-1.2704	-1.1389	100	60	100	405,337	505,090	212,071	0.4428	0.3049	0.7108	0.3839	0.3314	64.2	3.83	532	75.4	0.4354	-2	-0.59	504	-20.8	-0.3634	302,317	457,743	174,114	0.5892	0.3717	0.7664	0.3412	0.3703	74.9	4.18	927	78.6	0.5394	-12.7	-0.94	109	-24	-0.4674	426,722	504,434	344,579	0.4181	Average	0.3057	0.5343	0.293	0.2756	Average	75.7	4.23	905	80.1	Average	0.5568	-13.5	-0.99	131	-25.5	-0.4848	61	101	101	406	76	competitive	0.0314	19.1	8.3	30	50	11.7	3,610	1,019	competitive	0.0111	1.27	2	77	21	8,020	5,017	competitive	0.0113	0.32	74	26	0.3297	0.7346	-1.3297	-1.4492	100	101	1,921	3,246	448	0.4662	0.0984	0.8758	0.2018	0.2009	81.3	4.56	1,365	89.5	0.7462	-19.1	-1.32	-329	-34.9	-0.6742	competitive	0.0075	0.17	29	71	0.4787	3.95	0.9	0.3062	0.8049	-1.3062	-1.5195	100	101	16,001	23,011	3,265	0.3596	0.0812	0.8691	0.1584	0.1557	83.2	4.66	1,550	92	0.7774	-21	-1.42	-514	-37.4	-0.7054	competitive	0.0066	0.0009	1	0.07	0.429	0.2094	0.3682	-1.2094	-1.0828	828,388	62.9	3.88	394	76.6	0.4737	-0.7	-0.64	642	-0.4017	0.3882	0.0618	0.8843	0.151	0.1656	504,655	0.4391	-22	776,258	95,183	24.3	58.7	7.7	9.2	828,389	2,641	60.2	4.18	366	75.8	0.4412	2	-0.94	670	-0.3692	0.4636	0.0784	0.883	0.1883	0.1939	1,413	51.13	9.86	0.4625	2,641	1.1	9,057	1,538	0.1507	1,506.89	0.08	117,994	102	0.0131	131.4	9.87	163.93	1.22	99.01	1.28	99.01	0.57	99.01	0.44	99.01	-14.6	-0.01	2	-0.1	-38.8	null	null	null	null	null	-0.06	88,666	-0.12	0.48	405,334	0.443	-0.04	48,824	-0.066	0.58	302,312	0.589	-0.02	33,404	-0.045	0.42	426,706	0.418	-0.31	-157,712	-0.327	0.48	1,921	0.466	0.03	-447,398	-0.007	0.43	16,001	0.36	0.072	0	100	1,036	0.27	8	0.796	0.775	stable	0.27	1.87	8	8	27	102	0.848	0.854	0.854	0.796	0.775	119,524	124,212	124,100	45	227	stable	-0.3	null	60.99
GBJSCPRC	Chipotle Mexican Grill	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Caterer, Fast food restaurant	771 Bethel Rd, Columbus, OH 43214	771 Bethel Rd	Columbus	Ohio	Northwest	Olentangy Commons	43,214	US	true	40.062604	-83.041159	America/New_York	(614) 45-***	2	null	true	Columbus	Ohio	US	https	https://locations.chipotle.com/oh/columbus/771-bethel-rd	locations.chipotle.com/oh/columbus/771-bethel-rd	locations.chipotle.com	com	10,591	1997-04-01	2027-04-02	CSC Corporate Domains, Inc.	"purchase_dataset@chipotle.com, purchase_dataset@chipotle.com, purchase_dataset@chipotle.com, purcha(...TRUNCATED)	null	4	4	0	Casual restaurant offering Mexican fare, including design-your-own burritos, tacos & bowls.	3.41	875	{"1": 232, "2": 47, "3": 93, "4": 199, "5": 402}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Comfort food, Healthy options, Quick bite, Vegan options, Vegetarian options	Lunch, Dinner, Catering, Counter service, Seating	Restroom	Casual, Trendy	College students, Groups, LGBTQ+ friendly, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/chipotle	chipotle	https://www.facebook.com/chipotlepennplaza	chipotlepennplaza	null	null	null	null	https://www.linkedin.com/company/chipotle-mexican-grill	chipotle-mexican-grill	https://www.youtube.com/chipotle	chipotle	null	null	null	null	null	null	1,737,621	1.04	null	1.1	1.04	1.04	866	null	null	null	null	null	null	null	null	null	null	null	null	https://chipotle.com/menu	null	null	2026-03-29T17:41:53.311174+00:00	191.85	11.11	0	1,522.16	22.4	65.6697	3.92	68.2	98.1	59.1	0.1659	-1	-0.0833	0.1963	0.2349	0.7035	0.8926	0.8009	45.8	61.7	0	100	50	50	0	57.58	39.39	3.03	61.33	36	2.67	declining	declining	-0.9167	-15.9	-0.3182	-25.8	1	6	33	75	68.6	67.8	72	83	51.6	58	609	5,397	813	4,451	37,404	5,630	122,332	1,229,762	170,485	132,271	609	254,482	42	348,333	136,367	101	258,077	105,619	101	184,583	429	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.8012	0.4366	0.6594	-0.4366	-0.7427	0.5888	0.3553	0.4622	-0.3553	-0.5455	0.7822	0.3593	0.6405	-0.3593	-0.7238	100	41	100	254,482	306,839	348,333	0.6478	0.5733	0.5256	0.6401	0.7035	66.9	4.07	435	79.9	0.5468	2.4	-0.66	440	-20.8	-0.3806	136,367	87,463	258,077	0.8119	0.871	0.6539	0.8739	0.8926	78.1	4.47	817	86.9	0.6907	-8.8	-1.06	58	-27.8	-0.5245	105,619	136,818	184,583	0.8455	Average	0.7933	0.7502	0.8132	0.8009	Strong	80.3	4.48	1,117	87.4	Market Leader	0.6971	-11	-1.07	-242	-28.3	-0.5309	42	101	101	288	14	competitive	0.0467	13.05	7.3	19.5	56.1	17.1	3,139	1,264	competitive	0.0106	1.27	0	58	42	7,682	5,127	competitive	0.0078	0.32	41	59	0.3397	0.7334	-0.3397	-0.8167	100	101	1,194	3,135	645	0.6666	0.1278	0.8215	0.2364	0.2483	81.3	4.56	1,365	89.5	0.7459	-12	-1.15	-490	-30.4	-0.5797	competitive	0.0064	0.17	28	72	0.5514	3.95	0.9	0.3062	0.8018	-0.3062	-0.8851	100	101	10,106	22,160	4,969	0.5938	0.1146	0.8016	0.1937	0.199	83.1	4.66	1,555	92	0.7794	-13.8	-1.25	-680	-32.9	-0.6132	competitive	0.0056	0.0009	1	0.07	0.5124	0.2094	0.3682	-0.2094	-0.4515	828,388	62.9	3.88	394	76.6	0.4737	6.4	-0.47	481	-0.3075	0.6084	0.0882	0.8305	0.1793	0.2004	321,676	0.519	-17.5	753,923	140,186	24.3	58.7	7.7	9.2	828,389	2,641	60.2	4.18	366	75.8	0.4412	9.1	-0.77	509	-0.275	0.6485	0.0985	0.833	0.2136	0.228	924	51.13	14.06	0.4913	2,641	1.1	9,057	1,538	0.1506	1,506.49	0.08	117,994	102	0.0132	131.77	21.84	238.1	1.12	99.01	0.6	99.01	0.41	99.01	0.31	99.01	-7.4	0	7	-0.1	-15.3	null	null	null	null	null	0.04	-95,742	0.13	0.59	254,481	0.648	0.01	-19,871	0.026	0.78	136,362	0.812	0.01	-24,243	0.029	0.8	105,589	0.846	-0.24	-158,439	-0.126	0.55	1,194	0.667	0.11	-453,293	0.227	0.51	10,106	0.594	0.1662	50	50	875	0.33	10	0.874	0.865	accelerating	0.33	2.33	10	10	13	89	0.892	0.896	0.896	0.874	0.865	87,059	90,435	90,390	32	131	accelerating	0.26	null	65.19
AWXC63KR	Ted's Montana Grill	Food and Drink	Restaurants	American restaurant	American restaurant, Steak house	4169 Worth Ave, Columbus, OH 43219	4169 Worth Ave	Columbus	Ohio	Easton	Easton	43,219	US	true	40.055005	-82.907924	America/New_York	(614) 33-***	2	null	true	Columbus	Ohio	US	https	https://tedsmontanagrill.com/tmg069.html	tedsmontanagrill.com/tmg069.html	tedsmontanagrill.com	com	9,059	2001-06-11	2026-06-11	GoDaddy.com, LLC	"purchase_dataset@tedsmontanagrill.com, purchase_dataset@tedsmontanagrill.com, purchase_dataset@teds(...TRUNCATED)	realdomain	10	8	2	Old West-style steakhouse chain known for its burgers & chops made from bison.	4.33	1,116	{"1": 62, "2": 49, "3": 78, "4": 253, "5": 811}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/tedsmontanagrill	tedsmontanagrill	https://www.facebook.com/tedsmontanagrillnewyork	tedsmontanagrillnewyork	https://twitter.com/tedmontanagrill	tedmontanagrill	null	null	null	null	https://www.youtube.com/tedsmontanagrill	tedsmontanagrill	null	null	null	null	null	null	11,193	0.29	null	0.23	0.29	0.29	1,982	null	null	null	null	null	null	null	null	null	null	null	null	https://tedsmontanagrill.com/menu/pt_oh.pdf	https://tedsmontanagrill.com/tmg069.html	https://tedsmontanagrill.com/tmg069.html	2026-03-29T17:27:46.255717+00:00	1.24	13.33	0	1,510.42	22.3	65.6697	3.92	86.6	100	83.9	0.6692	0.5	0.9108	0.8043	0.7232	0.3468	0.3843	0.5086	95.5	86.2	100	0	100	0	0	93.02	4.65	2.33	88.89	8.89	2.22	declining	improving	-0.4108	9.3	0.1876	10.8	1	13	43	90	77.9	54	48	83	92.5	58	255	2,993	337	1,399	20,624	1,655	39,739	707,614	49,628	42,762	255	432,657	79	61,163	348,949	101	271,697	326,972	101	320,635	214	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.5543	0.3683	0.6035	0.1317	0.3073	0.488	0.1971	0.2669	0.3029	0.6439	0.5235	0.3029	0.443	0.1971	0.4678	100	78	100	432,657	608,823	61,163	0.4061	0.1685	0.9166	0.2115	0.3468	63.7	3.66	729	71.9	0.4401	14.9	0.67	387	12	0.229	348,949	431,601	271,697	0.5277	0.4056	0.6358	0.3967	0.3843	73.9	4.2	803	79.4	0.5433	4.7	0.13	313	4.5	0.1258	326,972	319,725	320,635	0.5502	Average	0.5476	0.5666	0.5471	0.5086	Average	77.5	4.37	935	84.1	Average	0.631	1.1	-0.04	181	-0.2	0.0381	79	101	101	636	66	competitive	0.0193	24.83	10.3	19.2	59	11.5	3,689	1,012	competitive	0.0137	1.27	3	79	18	7,918	5,099	competitive	0.0118	0.32	58	42	0.3347	0.7334	0.1653	0.1774	100	101	352	1,764	272	0.9008	0.5042	0.9249	0.6078	0.7397	81.3	4.56	1,364	89.5	0.7467	-2.7	-0.23	-248	-5.6	-0.0776	competitive	0.0081	0.17	28	72	0.789	3.95	0.9	0.2962	0.8	0.2038	0.1108	100	101	2,649	11,195	1,584	0.8917	0.5437	0.9364	0.6202	0.7087	83.1	4.66	1,549	92	0.7779	-4.5	-0.33	-433	-8.1	-0.1088	competitive	0.0072	0.0009	1	0.07	0.8007	0.2094	0.3682	0.2906	0.5426	828,388	62.9	3.88	394	76.6	0.4737	15.7	0.45	722	0.1954	0.8883	0.4828	0.9455	0.5807	0.6773	90,334	0.7838	7.3	419,892	44,746	24.3	58.7	7.7	9.2	828,389	2,641	60.2	4.18	366	75.8	0.4412	18.4	0.15	750	0.2279	0.8871	0.4508	0.933	0.5708	0.7186	293	51.13	34.43	0.7447	2,641	1.1	9,057	1,538	0.1506	1,506.05	0.08	117,994	102	0.0131	131.3	3.71	126.58	1.88	99.01	1.39	99.01	0.66	99.01	0.51	99.01	-7.7	0	5	0.1	-41.4	null	null	null	null	null	-0.08	125,678	-0.17	0.49	432,652	0.406	-0.03	27,928	-0.037	0.52	348,943	0.528	-0.02	35,232	-0.048	0.55	326,961	0.55	0	-159,281	0.108	0.79	352	0.901	0.39	-460,750	0.525	0.8	2,649	0.892	0.6691	100	0	1,116	0.4	12	0.851	0.881	stable	0.4	2.8	12	12	33	107	0.92	0.923	0.923	0.851	0.881	66,515	69,132	69,106	15	78	stable	0.17	null	85.56
NMYY5WH9	Chipotle Mexican Grill	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Caterer, Fast food restaurant	1140 Polaris Pkwy, Columbus, OH 43240	1140 Polaris Pkwy	Columbus	Ohio	Far North	Polaris	43,240	US	true	40.143953	-82.989366	America/New_York	(614) 78-***	2	null	true	Columbus	Ohio	US	https	https://locations.chipotle.com/oh/columbus/1140-polaris-pkwy	locations.chipotle.com/oh/columbus/1140-polaris-pkwy	locations.chipotle.com	com	10,591	1997-04-01	2027-04-02	CSC Corporate Domains, Inc.	"purchase_dataset@chipotle.com, purchase_dataset@chipotle.com, purchase_dataset@chipotle.com, purcha(...TRUNCATED)	null	4	4	0	Casual restaurant offering Mexican fare, including design-your-own burritos, tacos & bowls.	3.83	1,046	{"1": 173, "2": 66, "3": 113, "4": 332, "5": 681}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Comfort food, Healthy options, Quick bite, Vegetarian options	Lunch, Dinner, Catering, Counter service, Seating	Restroom	Casual, Trendy	College students, Groups, LGBTQ+ friendly, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/chipotle	chipotle	https://www.facebook.com/chipotlegarmentcenter	chipotlegarmentcenter	null	null	null	null	https://www.linkedin.com/company/chipotle-mexican-grill	chipotle-mexican-grill	https://www.youtube.com/chipotle	chipotle	null	null	null	null	null	null	1,737,621	1.04	null	1.1	1.04	1.04	866	null	null	null	null	null	null	null	null	null	null	null	null	https://chipotle.com/menu	null	null	2026-03-29T15:39:14.591697+00:00	191.85	11.11	0	1,519.95	22.3	65.6697	3.92	76.6	100	70.5	0.361	1	0.25	0.2677	0.2796	0.2962	0.5601	0.6256	62.5	64	100	0	57.14	35.71	7.14	60.47	32.56	6.98	63.27	33.67	3.06	improving	stable	0.75	-1.5	-0.0296	-2.3	1	14	43	98	74.4	67.8	72	83	66.4	58	392	4,717	506	2,671	32,578	3,214	76,920	1,093,112	102,263	83,532	392	443,378	100	213,357	250,162	101	335,784	333,563	101	381,083	350	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.5531	0.3929	0.5867	0.6071	-0.2867	0.4256	0.2429	0.2834	0.7571	0.0166	0.5775	0.3937	0.5543	0.6063	-0.2543	100	99	100	443,378	594,165	213,357	0.3917	0.1876	0.7089	0.1657	0.2962	63.5	3.69	531	70.7	0.4243	11.9	0.14	515	-0.2	-0.0634	250,162	362,026	335,784	0.6583	0.4973	0.5501	0.4842	0.5601	75.9	4.25	735	80.6	0.5896	-0.5	-0.42	311	-10.1	-0.2287	333,563	252,987	381,083	0.5418	Average	0.6363	0.4851	0.6483	0.6256	Average	77.4	4.41	861	85.4	Average	0.6596	-2	-0.58	185	-14.9	-0.2987	100	101	101	622	198	competitive	0.0195	31.51	9.1	20.2	64.6	6.1	2,798	1,028	competitive	0.014	1.27	1	71	28	7,667	5,146	competitive	0.012	0.32	63	37	0.3397	0.7378	0.6603	-0.4378	100	101	620	2,738	402	0.8257	0.2384	0.8866	0.3445	0.3975	81.3	4.56	1,363	89.6	0.7468	-5.9	-0.73	-317	-19.1	-0.3859	competitive	0.0076	0.17	28	72	0.6678	3.95	0.9	0.3162	0.7967	0.6838	-0.4967	100	101	4,977	18,818	2,922	0.7985	0.2459	0.8826	0.3293	0.3433	83.1	4.66	1,547	91.9	0.7774	-7.7	-0.83	-501	-21.4	-0.4165	competitive	0.0067	0.0009	1	0.07	0.658	0.2094	0.3682	0.7906	-0.0682	828,388	62.9	3.88	394	76.6	0.4737	12.5	-0.05	652	-0.1128	0.7983	0.1986	0.8931	0.2965	0.3267	164,646	0.6468	-6.1	660,745	87,791	24.3	58.7	7.7	9.2	828,389	2,641	60.2	4.18	366	75.8	0.4412	15.2	-0.35	680	-0.0803	0.8068	0.1845	0.8932	0.3064	0.3708	502	51.13	24.47	0.5818	2,641	1.1	9,057	1,538	0.1504	1,504.31	0.08	117,994	102	0.0131	131.11	3.8	100	1.97	99.01	1.44	99.01	0.58	99.01	0.45	99.01	-6.2	0	4	0	-23.3	null	null	null	null	null	-0.05	88,396	-0.119	0.43	443,376	0.392	0.01	-26,680	0.035	0.58	250,159	0.658	0	5,713	-0.008	0.55	333,558	0.542	-0.12	-159,013	0.033	0.67	620	0.826	0.24	-458,422	0.432	0.66	4,977	0.799	0.3609	100	0	1,046	0.33	10	0.874	0.865	accelerating	0.33	2.33	10	10	25	112	0.892	0.896	0.896	0.874	0.865	87,059	90,435	90,390	32	131	accelerating	-0.07	null	75.6
6ET4VA2H	Rude Dog Bar & Grill Polaris	Food and Drink	Restaurants	Bar & grill	Bar & grill, American restaurant, Event venue, Sports bar	8711 Sancus Blvd, Columbus, OH 43240	8711 Sancus Blvd	Columbus	Ohio	Far North	Polaris	43,240	US	true	40.14176	-82.99136	America/New_York	(614) 84-***	2	null	true	Columbus	Ohio	US	http	http://rudedogbarcolumbus.com	rudedogbarcolumbus.com	rudedogbarcolumbus.com	com	3,108	2017-09-26	2026-09-26	PDR Ltd. d/b/a PublicDomainRegistry.com	purchase_dataset@rudedogbarcolumbus.com	realdomain	1	0	1	"Laid-back spot serving hearty pub fare & drinks also features sports on TV & live music on weekends(...TRUNCATED)	4.21	932	{"1": 64, "2": 31, "3": 109, "4": 243, "5": 593}	Outdoor seating, No-contact delivery, Delivery, Takeout, Dine-in	"Bar games, Fast service, Great beer selection, Great cocktails, Karaoke, Live music, Live performan(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Arcade games, Beer, Cocktails, Coffee, Comfort food, Dancing, Food, Food at bar, Happy hou(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Trendy	Family-friendly, Groups, LGBTQ+ friendly	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Kids' menu	true	purchase_dataset@	true	true	3	https://www.instagram.com/rudedogbarcolumbus	rudedogbarcolumbus	https://www.facebook.com/rudedogpolaris	rudedogpolaris	null	null	https://www.tiktok.com/@lezannementoor	lezannementoor	null	null	null	null	null	null	null	null	null	null	495	0.9	null	0.15	0.95	0.9	115	null	null	null	null	3,352	227	17,300	5.3	null	6.57	5.35	5.3	https://rudedogbarcolumbus.com	null	null	2026-03-29T15:36:54.894066+00:00	0.37	5.43	0.2	1,579.74	30.4	65.6697	3.92	84.2	99	80	0.6026	1	0.2778	0.6735	0.6777	0.3549	0.4877	0.6469	63.9	83.9	100	0	66.67	33.33	0	84.62	11.54	3.85	81.67	10	8.33	improving	declining	0.7222	-20	-0.3999	-23.8	1	9	26	60	73.9	38.5	76	83	70.7	58	555	3,497	740	4,032	24,283	5,068	110,697	831,767	153,685	119,963	555	388,590	89	203,406	250,162	101	316,295	307,371	101	352,089	270	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.5855	0.3679	0.6155	0.6321	-0.3377	0.4944	0.2335	0.3169	0.7665	-0.0391	0.5686	0.4062	0.536	0.5938	-0.2582	100	88	100	388,590	505,090	203,406	0.4654	0.3049	0.7226	0.2242	0.3549	64.5	3.83	539	72.2	0.4425	10.1	0.38	393	7.8	0.1601	250,162	403,870	316,295	0.6583	0.4417	0.5761	0.4113	0.4877	75.9	4.22	756	79.6	0.5713	-1.3	-0.01	176	0.4	0.0313	307,371	236,527	352,089	0.5766	Average	0.6588	0.5241	0.6726	0.6469	Average	77.8	4.42	896	85.7	Average	0.6643	-3.2	-0.21	36	-5.7	-0.0617	89	101	101	571	52	competitive	0.0193	28.01	6.8	19.3	68.2	5.7	2,715	1,001	competitive	0.0122	1.27	1	72	27	7,673	5,106	competitive	0.0103	0.32	59	41	0.3347	0.7346	0.6653	-0.4568	100	101	692	2,052	584	0.8065	0.4257	0.8379	0.5064	0.6641	81.3	4.56	1,368	89.6	0.7466	-6.7	-0.35	-436	-9.6	-0.144	competitive	0.0068	0.17	28	72	0.7017	3.95	0.9	0.3062	0.7989	0.6938	-0.5211	100	101	5,609	13,506	4,416	0.7733	0.4563	0.8238	0.5134	0.6128	83.1	4.66	1,544	92	0.781	-8.5	-0.45	-612	-12	-0.1784	competitive	0.006	0.0009	1	0.07	0.6933	0.2094	0.3682	0.7906	-0.0904	828,388	62.9	3.88	394	76.6	0.4737	11.7	0.33	538	0.1289	0.7742	0.3937	0.8461	0.4711	0.5842	184,525	0.6816	3.4	496,650	127,220	24.3	58.7	7.7	9.2	828,389	470	62.7	4.31	283	81.1	0.5494	11.9	-0.1	649	0.0532	0.7761	0.2772	0.9467	0.3241	0.4542	105	67.19	19.48	0.4456	470	1.1	9,057	1,538	0.151	1,509.92	0.08	117,994	102	0.0131	130.88	3.71	112.36	1.48	99.01	1.06	99.01	0.46	99.01	0.36	99.01	-8.8	0	6	0	-46.3	null	null	null	null	null	-0.02	57,627	-0.078	0.49	388,590	0.465	0	-3,331	0.003	0.57	250,162	0.658	0	10,127	-0.015	0.59	307,371	0.577	-0.09	-158,941	0.014	0.7	692	0.807	0.3	-457,790	0.407	0.69	5,609	0.773	0.6026	100	0	932	0.17	5	0.736	0.735	decelerating	0.17	1.17	5	5	20	68	0.719	0.729	0.729	0.736	0.735	213,014	221,732	221,154	18	143	decelerating	0	null	86.67
2SMNAKDN	Sushiko	Food and Drink	Restaurants	Japanese restaurant	Japanese restaurant	122 Hutchinson Ave, Columbus, OH 43235	122 Hutchinson Ave	Columbus	Ohio	Far North	Crosswoods	43,235	US	true	40.11477	-83.011325	America/New_York	(614) 98-***	2	null	true	Columbus	Ohio	US	http	http://sushi-ko.net	sushi-ko.net	sushi-ko.net	net	6,761	2007-09-26	2026-09-26	PDR Ltd. d/b/a PublicDomainRegistry.com	null	null	0	0	0	Bright eatery with an extensive menu of traditional & specialty sushi & other Japanese dishes.	4.54	815	{"1": 26, "2": 16, "3": 42, "4": 163, "5": 622}	Delivery, Takeout, Dine-in	Fast service, Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Happy hour food, Hard liquor, Healthy options, Quick bite, Small plates, (...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Trendy	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/sushikolongisland	sushikolongisland	https://www.facebook.com/p/sushi-ko-100063679837654	sushi-ko-100063679837654	https://twitter.com/jasveer10	jasveer10	null	null	https://www.linkedin.com/in/yukio-omata-203385109	yukio-omata-203385109	null	null	null	null	null	null	null	null	1,025	4.36	null	3.76	3.6	4.36	91	null	null	null	null	null	null	null	null	null	null	null	null	https://sushi-ko.uorder.io/product/category	null	null	2026-03-29T15:35:11.578283+00:00	0.11	4.44	0.2	1,576.21	22.3	65.6697	3.93	90.8	97.1	89.9	0.7921	1	0.75	0.8462	0.8316	0.3812	0.6181	0.8759	87.5	91.6	100	0	87.5	12.5	0	92.31	7.69	0	88.1	4.76	7.14	improving	declining	0.25	-4.1	-0.0816	-4.5	1	8	13	42	79.8	46.8	84	67	89.2	58	671	1,998	903	4,966	13,509	6,293	135,911	466,206	190,185	146,641	671	541,607	38	359,150	223,712	101	228,458	158,487	101	275,592	99	3,364	6,833	22,763	44,613	724,238	1,424,284	724,238	0.7364	0.4001	0.6442	0.5999	0.1336	0.3098	0.2534	0.2211	0.7466	0.5567	0.6522	0.3342	0.5227	0.6658	0.2551	100	37	100	541,607	604,065	359,150	0.2602	0.1746	0.5111	0.3146	0.3812	61.4	3.67	428	74.1	0.4503	19.2	0.87	387	15.8	0.3418	223,712	318,282	228,458	0.694	0.555	0.6935	0.5418	0.6181	76.4	4.28	851	81.4	0.6049	4.2	0.26	-36	8.5	0.1872	158,487	136,818	275,592	0.7755	Below Average	0.7933	0.6273	0.8215	0.8759	Strong	79.7	4.48	988	87.5	Strong	0.715	0.9	0.06	-173	2.4	0.0771	38	101	101	537	20	competitive	0.0489	11.78	13.5	18.9	59.5	8.1	3,791	1,177	competitive	0.0095	1.27	1	72	27	7,514	5,402	competitive	0.0082	0.32	43	57	0.3397	0.7346	0.6603	0.0432	100	101	200	1,203	708	0.9424	0.6619	0.8035	0.7586	0.8753	81.3	4.56	1,368	89.5	0.7459	-0.7	-0.02	-553	0.4	0.0462	competitive	0.0059	0.17	28	72	0.8165	3.95	0.9	0.3162	0.7971	0.6838	-0.0193	100	101	1,481	6,688	5,481	0.939	0.7252	0.7813	0.8039	0.8881	83.1	4.66	1,548	91.9	0.7742	-2.5	-0.12	-733	-2	0.0179	competitive	0.0052	0.0009	1	0.07	0.8276	0.2094	0.3682	0.7906	0.4096	828,388	62.9	3.88	394	76.6	0.4737	17.7	0.66	421	0.3184	0.9354	0.6669	0.8118	0.7686	0.8552	51,857	0.8178	13.3	269,316	155,608	24.3	58.7	7.7	9.2	828,389	2,641	60.2	4.18	366	75.8	0.4412	20.4	0.36	449	0.3509	0.9345	0.6231	0.8193	0.7402	0.8663	167	51.13	42.05	0.9254	2,641	1.1	9,057	1,538	0.151	1,510.36	0.08	117,994	102	0.0131	131.23	23.94	263.16	0.9	99.01	0.67	99.01	0.35	99.01	0.27	99.01	-1.1	0	3	0	-34.6	null	null	null	null	null	-0.02	39,349	-0.052	0.31	541,606	0.26	-0.02	39,355	-0.054	0.65	223,710	0.694	0	-6,598	0.007	0.74	158,484	0.776	0.03	-159,433	0.15	0.82	200	0.942	0.43	-461,918	0.572	0.83	1,481	0.939	0.7921	100	0	815	0.13	4	0.435	0.498	stable	0.13	0.93	4	4	11	45	0.648	0.66	0.66	0.435	0.498	264,626	275,746	274,862	23	104	stable	0.03	null	93.18

End of preview. Expand in Data Studio

Top 30% Active Restaurant Whales in Columbus, US

Free sample dataset from BeamStation

--High-Volume, Active targets--

Popular restaurants sitting in the Top 10% of their local market for proven foot traffic and review volume within the last 30 days and a market scope of 10km. These are the highest-velocity, actively transacting accounts for payment processing, POS systems, and supply chain sales. Validated by an "Active Heartbeat" signal.

This dataset, Top 30% Active Restaurant Whales in Columbus, US, contains 663 records of Columbus‑based restaurants that consistently rank among the most active venues in their market. Updated weekly, it provides a reliable snapshot of establishments with strong recent traffic and review momentum, making it ideal for sales teams targeting payment processors, POS vendors, or food‑service suppliers. Users can leverage the data to prioritize outreach, tailor offerings, and identify high‑potential partners within a 10 km radius of Columbus. Access the full dataset at https://beamstation.com/datasets/145725/.

Dataset Details

Field	Value
Full dataset	663 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, ... (484 total)

Column List

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

Usage

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

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 663 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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