Datasets:

beamstation
/

all-restaurants-in-detroit-michigan-us-208407

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 float64	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 float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github 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_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_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_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 float64	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 float64	beam_velocity_reviews_last_90d float64	beam_velocity_reviews_last_365d float64	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 float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	beam_velocity_rank_city float64	beam_velocity_rank_state float64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
UPFPNGJ2	Church's Chicken	Food and Drink	Restaurants	Chicken restaurant	Chicken restaurant, Family restaurant, Fast food restaurant	9137 Grand River Ave, Detroit, MI 48204	9137 Grand River Ave	Detroit	Michigan	Petoskey-Otsego	Petosky-Otsego	48,204	US	true	42.364949	-83.130482	America/Detroit	(313) 83-***	1	CLOSED_TEMPORARILY	false	true	null	true	Detroit	Michigan	US	https	https://locations.churchs.com/mi/detroit	locations.churchs.com/mi/detroit	locations.churchs.com	com	10,978	1996-03-19	2027-03-20	CSC Corporate Domains, Inc.	null	null	0	0	0	Fast-food chain offering fried chicken, sandwiches, wings & Southern-influenced sides.	true	true	3.25	453	{"1": 102, "2": 48, "3": 91, "4": 89, "5": 143}	Delivery, Drive-through, Takeout	null	null	Wheelchair accessible entrance	Comfort food, Late-night food	Lunch, Dessert	null	null	null	null	null	Good for kids	false	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://churchs.com/menu/combo	null	null	2026-04-09T16:34:05.674472+00:00	0	null	4.3	2,951.73	83.5	58.4829	4.22	65	88.6	49	0.1774	null	null	null	null	0.1091	0.2493	0.8116	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	46.9	19.5	0	50	50	46	616	3,217	903	6,868	26,589	9,874	249,476	1,259,580	370,954	267,501	616	692,844	13	265,340	270,046	101	333,631	151,181	101	106,531	1,521	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.8011	0.0176	0.5247	-0.0176	-0.5247	0.3125	0	0.0258	0	-0.0258	0.6611	0.0244	0.2654	-0.0244	-0.2654	100	12	100	692,844	514,535	265,340	0.0709	0.3032	0.6439	0.3475	0.1091	32.9	0.45	629	11.5	0.3382	3.9	1.22	-156	10.9	-0.1608	270,046	153,842	333,631	0.6374	0.7942	0.5596	0.7406	0.2493	49.1	1.56	931	23.9	0.4895	-12.3	0.11	-458	-1.5	-0.3121	151,181	183,866	106,531	0.7951	Below Average	0.7523	0.858	0.6914	0.8116	Strong	53.7	1.49	1,861	21.6	Market Leader	0.7068	-16.9	0.18	-1,388	0.8	-0.5294	13	101	101	681	184	moderate	0.059	3.82	83.3	16.7	0	3,866	1,279	competitive	0.0051	1.27	17	68	15	7,287	5,121	competitive	0.0025	0.32	5	59	36	0.0474	0.5978	-0.0474	-0.5978	100	101	1,395	1,071	1,044	0.4998	0.6164	0.6282	0.5982	0.2435	54	1.52	1,886	21.8	0.7399	-17.2	0.15	-1,413	0.6	-0.5625	competitive	0.0025	0.27	5	60	35	0.5733	4.23	0.84	0.1849	0.6634	-0.1849	-0.6634	100	101	11,014	6,403	11,493	0.4139	0.6598	0.3912	0.6708	0.205	53.6	1.06	2,225	15.6	0.8033	-16.8	0.61	-1,752	6.8	-0.6259	competitive	0.0021	0.0004	1.18	0.05	0.4809	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-4.3	0.73	-58	-0.2821	0.3806	0.6325	0.6707	0.6254	0.2221	488,417	0.5432	2	289,197	260,389	44.5	8.8	46.7	791,802	2,406	48.2	4.1	377	23.1	0.4583	-5.6	-1.07	76	-0.2809	0.3385	0.0682	0.6757	0.5746	0.2391	1,591	59.9	-59.9	2,406	1.56	6,391	1,727	0.2952	2,951.73	0.1	100,773	40	0.0221	220.77	34.76	769.23	0.26	99.01	0.06	99.01	0.06	99.01	0.05	99.01	-12.2	-1.58	20	-26.6	null	null	null	null	null	0.03	43,337	-0.046	0.31	692,842	0.071	0.27	-177,655	0.24	0.66	270,029	0.637	-0.02	1,268	0.007	0.8	151,135	0.795	0.27	-870	0.316	0.57	1,395	0.5	0.24	-5,446	0.312	0.48	11,014	0.414	0.1774	null	null	8	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
AJ352P3U	The Wing Dynasty	Food and Drink	Restaurants	Delivery Restaurant	Delivery Restaurant, Service establishment	null	null	Detroit	Michigan	null	Bagley	null	US	true	42.427973	-83.146675	America/Detroit	(888) 66-***	0	CLOSED_TEMPORARILY	false	false	null	true	Detroit	Michigan	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	0	0	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 0}	Delivery	null	null	null	null	null	null	null	null	null	null	null	false	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-09T16:33:00.745160+00:00	0	null	6	2,879.91	83.7	58.4829	4.23	0	0	50	null	null	null	null	null	0.0764	0.2399	0.6031	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	21.9	19.5	0	17	50	46	1,805	3,669	3,669	15,571	30,186	30,186	685,572	1,407,883	1,407,883	739,781	1,805	604,163	28	542,747	331,443	101	269,726	151,181	101	243,779	1,722	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.7652	0.0439	0.4521	-0.0439	-0.4521	0.3566	0.0329	0.151	-0.0329	-0.151	0.6073	0.0568	0.1878	-0.0568	-0.1878	100	27	100	604,163	245,748	542,747	0.1872	0.6667	0.2723	0.735	0.0764	36.6	1.06	343	23.5	0.3087	-14.6	null	-343	26.5	-0.3087	331,443	270,192	269,726	0.5557	0.6396	0.6439	0.5564	0.2399	48	1.11	1,054	16.3	0.4863	-26	null	-1,054	33.7	-0.4863	151,181	136,652	243,779	0.7951	Below Average	0.8154	0.6751	0.7693	0.6031	Average	53.7	1.71	1,397	25.2	Strong	0.6497	-31.7	null	-1,397	24.8	-0.6497	28	101	101	547	0	competitive	0	8.59	48.1	51.9	0	3,549	1,113	competitive	0	1.27	24	62	14	7,957	5,067	competitive	0	0.32	7	58	35	0.0474	0.5887	-0.0474	-0.5887	100	101	2,351	1	2,097	0.1579	0.8966	0.2435	0.8788	0.1426	53.6	1.45	1,841	21.2	0.7386	-31.6	null	-1,841	28.8	-0.7386	competitive	0	0.27	5	62	33	0.4052	4.23	0.84	0.1866	0.6551	-0.1866	-0.6551	100	101	16,781	1	18,776	0.1082	0.9272	0.0022	0.8899	0.0722	53.5	1.04	2,239	15.1	0.8031	-31.5	null	-2,239	34.9	-0.8031	competitive	0	0.0004	1.18	0.05	0.3221	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-19.1	null	-531	-0.4595	0.0601	0.9087	0	0.7759	0.0391	741,996	0.2967	29.6	1	717,607	44.5	8.8	46.7	791,802	2,406	48.2	4.1	377	23.1	0.4583	-25.9	null	-377	-0.4583	0.1505	0.7301	0	0.7414	0.0482	2,032	59.9	-59.9	2,406	1.56	6,391	1,727	0.288	2,879.91	0.1	100,773	40	0.0222	222.19	0	357.14	0	99.01	0	99.01	0	99.01	0	99.01	-2	null	0	0	null	null	null	null	null	0.27	-99,748	0.143	0.36	604,159	0.187	0.16	-79,590	0.11	0.61	331,438	0.556	0.17	-155,092	0.217	0.77	151,161	0.795	0.09	-247	0.095	0.41	2,351	0.158	0.01	-1,102	0.086	0.32	16,781	0.108	null	null	null	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
5HTF5VKG	Subway	Food and Drink	Restaurants	Sandwich shop	Sandwich shop, Takeout Restaurant, Restaurant	19016 Woodward Ave, Detroit, MI 48203	19016 Woodward Ave	Detroit	Michigan	Grixdale Farms	Chaldean Town	48,203	US	true	42.431607	-83.1141	America/Detroit	(203) 78-***	1	CLOSED_TEMPORARILY	false	true	null	true	Detroit	Michigan	US	https	https://subway.com/en-us	subway.com/en-us	subway.com	com	11,040	1996-01-17	2027-01-18	CSC Corporate Domains, Inc.	null	null	0	0	0	Casual counter-serve chain for build-your-own sandwiches & salads, with health-conscious options.	true	true	0	0	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 0}	null	null	null	Wheelchair accessible entrance, Wheelchair accessible seating	Healthy options, Vegetarian options	Lunch	null	Casual	null	null	null	Good for kids	false	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-09T16:17:49.267746+00:00	0	null	6.9	2,125.81	127.6	58.4829	3.89	0	0	50	null	null	null	null	null	0.4098	0.3234	0.6492	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	25.2	19.5	0	50	50	46	1,774	3,589	3,589	15,294	29,372	29,372	674,445	1,375,024	1,375,024	727,786	1,774	736,316	12	690,721	301,788	101	244,807	160,164	101	283,887	1,722	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.7279	0.0991	0.4767	-0.0991	-0.4767	0.0995	0	0.0518	0	-0.0518	0.6438	0.0565	0.1865	-0.0565	-0.1865	100	11	100	736,316	563,773	690,721	0.0142	0.2377	0.075	0.33	0.4098	27.8	0.37	165	11.1	0.4597	-2.5	null	-165	38.9	-0.4597	301,788	242,624	244,807	0.5946	0.6763	0.6768	0.5789	0.3234	48.5	1.2	1,105	17.1	0.5128	-23.2	null	-1,105	32.9	-0.5128	160,164	177,312	283,887	0.7827	Emerging	0.7611	0.6217	0.7111	0.6492	Average	53.4	1.52	1,311	22.5	Strong	0.6625	-28.1	null	-1,311	27.5	-0.6625	12	101	101	485	85	moderate	0	3.5	81.8	18.2	0	3,484	1,412	competitive	0	1.27	21	63	16	7,760	5,028	competitive	0	0.32	5	62	33	0.0474	0.6043	-0.0474	-0.6043	100	101	2,146	1	2,795	0.2321	0.8966	0.0021	0.8307	0.1255	54	1.52	1,900	21.7	0.7394	-28.7	null	-1,900	28.3	-0.7394	competitive	0	0.27	5	60	35	0.3625	4.23	0.84	0.1766	0.6538	-0.1766	-0.6538	100	101	15,758	1	18,436	0.164	0.9272	0.0166	0.8647	0.0783	53.6	1.07	2,236	15.6	0.803	-28.3	null	-2,236	34.4	-0.803	competitive	0	0.0004	1.18	0.05	0.3487	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-15.8	null	-531	-0.4595	0.1276	0.9087	0	0.7759	0.0391	687,957	0.3237	29.6	1	717,607	44.5	8.8	46.7	791,802	2,406	48.2	4.1	377	23.1	0.4583	-22.6	null	-377	-0.4583	0.2054	0.7301	0	0.7414	0.0482	1,903	59.9	-59.9	2,406	1.56	6,391	1,727	0.2972	2,972.14	0.1	100,773	40	0.0222	221.84	0	833.33	0	99.01	0	99.01	0	99.01	0	99.01	-2	null	0	0	null	null	null	null	null	-0.09	27,491	-0.024	0.1	736,316	0.014	0.16	-83,174	0.114	0.64	301,788	0.595	0.12	-126,633	0.178	0.73	160,164	0.783	0.05	-370	0.139	0.36	2,146	0.232	0.03	-1,697	0.116	0.35	15,758	0.164	null	null	null	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
J3ECN67G	SUBWAY®Restaurants	Food and Drink	Restaurants	Restaurant	Restaurant, Caterer, Fast food restaurant, Sandwich shop	8892 Eight Mile W, Ferndale, MI 48220	8892 Eight Mile W	Detroit	Michigan	null	null	48,220	US	true	42.446543	-83.157045	America/Detroit	(248) 54-***	1	CLOSED_TEMPORARILY	false	true	null	true	Detroit	Michigan	US	http	http://subway.com	subway.com	subway.com	com	11,040	1996-01-17	2027-01-18	CSC Corporate Domains, Inc.	null	null	0	0	0	Casual counter-serve chain for build-your-own sandwiches & salads, with health-conscious options.	true	true	2.6	5	{"1": 2, "2": 0, "3": 1, "4": 2, "5": 0}	Takeout	null	Lunch	Wheelchair accessible parking lot	Healthy options, Vegetarian options	Lunch	null	Casual, Quiet	Locals	null	null	Good for kids	false	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-09T16:16:58.432469+00:00	0	null	8.5	2,894.52	83.9	58.4829	4.23	52	25.9	40	0.3052	null	null	null	null	0.1031	0.6431	0.6536	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	36.7	19.5	0	50	50	46	1,541	3,433	3,081	14,307	28,181	26,775	623,922	1,323,119	1,240,117	672,480	1,541	738,136	11	506,076	112,198	101	203,721	208,674	101	256,877	1,675	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.6875	0.0829	0.4621	-0.0829	-0.4621	0.1161	0	-0.2122	0	0.2122	0.7915	0.0402	0.4186	-0.0402	-0.4186	100	10	100	738,136	705,521	506,076	0.012	0.0498	0.3213	0.1402	0.1031	27.2	0.1	377	6.7	0.3335	-6.8	-0.1	-372	-6.7	-0.0283	112,198	167,815	203,721	0.8486	0.7759	0.731	0.7235	0.6431	52.8	1.5	1,200	23.1	0.6072	-32.4	-1.5	-1,195	-23.1	-0.302	208,674	237,871	256,877	0.7155	Emerging	0.6801	0.6576	0.6261	0.6536	Strong	52	1.26	1,368	18.8	Strong	0.6637	-31.6	-1.26	-1,363	-18.8	-0.3585	11	101	101	340	3	moderate	0.0013	3.18	90	10	0	3,577	1,028	competitive	0	1.27	7	64	29	8,199	5,059	competitive	0	0.32	11	65	24	0.0474	0.594	-0.0474	-0.594	100	101	2,534	2,227	2,149	0.0952	0.1704	0.2307	0.1711	0.3244	53.6	1.45	1,850	21.2	0.7403	-33.2	-1.45	-1,845	-21.2	-0.4351	competitive	0	0.27	5	62	33	0.1584	4.23	0.84	0.1906	0.659	-0.1906	-0.659	100	101	17,184	12,157	18,436	0.0892	0.3454	0.0166	0.363	0.2841	53.2	1	2,241	14.3	0.8031	-32.8	-1	-2,236	-14.3	-0.4979	competitive	0	0.0004	1.18	0.05	0.1443	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-20.7	-0.94	-526	-0.1543	0.0401	0	0.1512	0	0.3001	759,208	0.0614	-20.4	695,148	665,932	44.5	8.8	46.7	791,802	2,406	48.2	4.1	377	23.1	0.4583	-27.5	null	-372	-0.1531	0.0915	0.7301	0.1921	0	0.3119	2,184	59.9	-59.9	2,406	1.56	6,391	1,727	0.2895	2,894.52	0.1	100,773	40	0.0222	222.38	0.02	909.09	0	99.01	0	99.01	0	99.01	0	99.01	-18.4	-2.6	0	-40	null	null	null	null	null	-0.16	79,391	-0.093	0.12	738,133	0.012	0.11	-110,687	0.153	0.79	112,102	0.849	0.09	-91,344	0.129	0.69	208,396	0.716	0.09	107	-0.032	0.16	2,534	0.095	0.08	103	0.02	0.14	17,184	0.089	0.3052	null	null	5	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
XFV7XQNC	Subway	Food and Drink	Restaurants	Sandwich shop	Sandwich shop, Fast food restaurant, Takeout Restaurant, Restaurant	1335 M-102 Unit 1, Detroit, MI 48203	1335 M-102 Unit 1	Detroit	Michigan	State Fair	State Fair Grounds	48,203	US	true	42.446009	-83.120891	America/Detroit	(313) 89-***	1	CLOSED_TEMPORARILY	false	true	null	true	Detroit	Michigan	US	https	https://restaurants.subway.com/united-states/mi/detroit/1335-w-eight-mile-road	restaurants.subway.com/united-states/mi/detroit/1335-w-eight-mile-road	restaurants.subway.com	com	11,040	1996-01-17	2027-01-18	CSC Corporate Domains, Inc.	null	null	0	0	0	Casual counter-serve chain for build-your-own sandwiches & salads, with health-conscious options.	true	true	3.79	24	{"1": 3, "2": 3, "3": 1, "4": 6, "5": 11}	Delivery, Takeout	null	null	null	null	Breakfast, Lunch	null	null	null	null	Credit cards, Debit cards, NFC mobile payments	null	false	true	purchase_dataset@	true	true	5	2025-11-06	2026-02-25	154	43	36	154	154	43	43	https://www.instagram.com/subway	subway	https://www.facebook.com/subway	subway	https://twitter.com/subway	subway	null	null	https://www.linkedin.com/company/subway	subway	https://www.youtube.com/user/subway	subway	null	null	null	null	null	null	1,440,864	0.03	null	0.02	0.03	0.03	1,661	null	null	null	null	null	null	null	null	https://order.subway.com/en-us/restaurant/51090-0/menu/?segment_code=242	null	null	2026-04-09T16:16:58.374625+00:00	225.45	null	0	2,110.23	25.7	58.4829	3.89	75.8	46.6	70.8	0.1297	null	null	null	null	0.0272	0.5006	0.6985	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	55.5	19.5	56	67	50	46	1,299	2,813	2,523	13,280	23,096	23,878	565,336	1,114,442	1,066,766	608,608	1,299	666,944	13	98,184	240,698	101	264,782	151,181	101	212,156	1,265	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.7633	0.1097	0.4851	-0.1097	-0.4851	0.376	0.0833	0.0241	-0.0833	-0.0241	0.6686	0.0567	0.29	-0.0567	-0.29	100	12	100	666,944	557,707	98,184	0.1047	0.2456	0.8683	0.1365	0.0272	34.3	0.38	961	6.6	0.2063	-4.5	-0.38	-937	-6.6	-0.0766	240,698	242,624	264,782	0.6764	0.6763	0.6505	0.6089	0.5006	49.7	1.2	1,064	18.2	0.5636	-19.9	-1.2	-1,040	-18.2	-0.4339	151,181	172,783	212,156	0.7951	Below Average	0.7671	0.7172	0.6936	0.6985	Strong	53.7	1.54	1,477	21.7	Strong	0.6763	-23.9	-1.54	-1,453	-21.7	-0.5466	13	101	101	326	3	moderate	0.0021	3.82	58.3	41.7	0	3,161	1,146	competitive	0.0002	1.27	22	58	20	7,768	5,011	competitive	0.0002	0.32	7	59	34	0.0474	0.5978	-0.0474	-0.5978	100	101	1,863	2,584	2,316	0.3348	0.0004	0.1733	0.0068	0.2185	54	1.52	1,886	21.8	0.7399	-24.2	-1.52	-1,862	-21.8	-0.6102	competitive	0.0001	0.27	5	60	35	0.186	4.23	0.84	0.1849	0.6634	-0.1849	-0.6634	100	101	14,262	13,249	16,643	0.2428	0.2675	0.1174	0.2576	0.1623	53.6	1.06	2,225	15.6	0.8033	-23.8	-1.06	-2,201	-15.6	-0.6736	competitive	0.0001	0.0004	1.18	0.05	0.2126	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-11.3	-0.94	-507	-0.3298	0.2306	0	0.2304	0	0.201	607,918	0.1613	-20.4	695,148	607,274	44.5	8.8	46.7	791,802	234	47.1	3.87	374	15	0.4016	-17	null	-350	-0.2719	0.1931	0.7597	0.2189	0	0.2489	189	62.94	-62.94	234	1.56	6,391	1,727	0.2952	2,951.73	0.1	100,773	40	0.0221	220.77	0.04	769.23	0	99.01	0	99.01	0	99.01	0	99.01	-27.8	-3.79	0	-70.8	null	null	null	null	null	-0.02	76,389	-0.091	0.38	666,944	0.105	0.1	-73,771	0.103	0.67	240,698	0.676	0.12	-115,100	0.164	0.76	151,181	0.795	-0.11	88	-0.023	0.19	1,863	0.335	0.01	-36	0.024	0.21	14,262	0.243	0.1297	null	null	24	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
QLXK22CN	Da Juice Bar After Dark	Food and Drink	Restaurants	Bar & grill	Bar & grill, Juice shop	14444 W McNichols Rd, Detroit, MI 48235	14444 W McNichols Rd	Detroit	Michigan	Winship	null	48,235	US	true	42.416766	-83.188275	America/Detroit	null	2	CLOSED_TEMPORARILY	false	true	null	true	Detroit	Michigan	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.23	40	{"1": 5, "2": 1, "3": 2, "4": 4, "5": 27}	Dine-in	null	null	null	Alcohol, Food	null	Bar onsite, Restroom	null	null	null	null	null	false	false	purchase_dataset@	false	false	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-09T16:14:22.010190+00:00	0	null	6.8	2,109.6	128.6	58.4829	3.89	84.6	53.8	80	0.1761	null	null	null	null	0.1349	0.0383	0.589	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	48.7	19.5	0	17	50	46	1,202	1,961	2,287	12,839	16,572	22,518	538,496	820,927	985,418	579,247	1,202	720,865	25	286,185	548,124	101	351,973	134,748	101	253,645	818	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.7677	0.0473	0.4688	-0.0473	-0.4688	0.3034	0	-0.1524	0	0.1524	0.4331	0.0341	-0.0138	-0.0341	0.0138	100	24	100	720,865	480,229	286,185	0.0343	0.3498	0.6159	0.3388	0.1349	30.5	0.51	603	11.3	0.3557	-10.6	-0.51	-564	-11.3	-0.1796	548,124	341,276	351,973	0.2724	0.5451	0.5354	0.5336	0.0383	43.6	0.91	899	15.5	0.356	-23.7	-0.91	-860	-15.5	-0.1799	134,748	142,766	253,645	0.8173	Below Average	0.8075	0.6619	0.747	0.589	Average	54.3	1.68	1,375	24.2	Strong	0.6458	-34.4	-1.68	-1,336	-24.2	-0.4697	25	101	101	613	99	competitive	0.0027	7.64	75	20.8	4.2	3,510	1,228	competitive	0.0004	1.27	38	57	5	8,098	5,027	competitive	0.0003	0.32	4	62	34	0.0474	0.5978	-0.0474	-0.5978	100	101	2,577	2,584	2,172	0.0806	0.0004	0.2242	0.0068	0.2424	54	1.52	1,886	21.8	0.7399	-34.1	-1.52	-1,847	-21.8	-0.5638	competitive	0.0002	0.27	5	60	35	0.0996	4.23	0.84	0.1773	0.6488	-0.1773	-0.6488	100	101	17,293	12,866	16,418	0.0837	0.3004	0.1298	0.3077	0.2047	53.4	1.04	2,228	15.1	0.8025	-33.5	-1.04	-2,189	-15.1	-0.6264	competitive	0.0002	0.0004	1.18	0.05	0.1625	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-21.2	-0.94	-492	-0.2834	0.0349	0	0.2649	0	0.2215	763,452	0.0934	-20.4	695,148	580,542	44.5	8.8	46.7	791,802	2,406	48.2	4.1	377	23.1	0.4583	-28	null	-337	-0.2822	0.084	0.7301	0.3435	0	0.2383	2,202	59.9	-59.9	2,406	1.56	6,391	1,727	0.2952	2,951.73	0.1	100,773	40	0.0221	221.12	0.07	400	0	99.01	0	99.01	0	99.01	0	99.01	-30.9	-4.23	-1	-80	null	null	null	null	null	0.07	31,384	-0.029	0.3	720,865	0.034	0.15	-12,738	0.026	0.43	548,124	0.272	0.17	-158,671	0.222	0.77	134,748	0.817	-0.22	376	-0.127	0.1	2,577	0.081	-0.08	1,124	-0.034	0.16	17,293	0.084	0.1761	null	null	39	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
K6MQEEE8	Chicken 🐔 Pipes	Food and Drink	Restaurants	Chicken shop	Chicken shop	14236 Fenkell Ave, Detroit, MI 48227	14236 Fenkell Ave	Detroit	Michigan	Bethune Community	null	48,227	US	true	42.402146	-83.185194	America/Detroit	null	0	CLOSED_TEMPORARILY	true	false	null	true	Detroit	Michigan	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	0	0	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 0}	Takeout	null	null	null	null	null	null	Casual	null	null	Credit cards, Debit cards	null	false	false	purchase_dataset@	false	false	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-09T16:14:03.043786+00:00	0	null	6.1	2,894.52	83.7	58.4829	4.23	0	0	50	null	null	null	null	null	0.158	0.0269	0.5462	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	21.9	19.5	0	17	50	46	1,881	3,835	3,835	16,079	31,545	31,545	704,655	1,465,229	1,465,229	760,368	1,881	723,253	15	686,509	552,098	101	350,668	137,305	101	284,315	1,722	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.7516	0.0299	0.4133	-0.0299	-0.4133	0.2066	0.0714	0.1957	-0.0714	-0.1957	0.4331	0.0215	0.0139	-0.0215	-0.0139	100	14	100	723,253	320,095	686,509	0.0311	0.5665	0.0806	0.6307	0.158	30.2	0.85	173	19.5	0.3687	-8.2	null	-173	30.5	-0.3687	552,098	337,326	350,668	0.2674	0.5502	0.5369	0.5034	0.0269	43.5	0.92	901	14.5	0.3284	-21.5	null	-901	35.5	-0.3284	137,305	148,771	284,315	0.8139	Below Average	0.7993	0.621	0.7579	0.5462	Average	54.2	1.65	1,310	24.7	Strong	0.6332	-32.2	null	-1,310	25.3	-0.6332	15	101	101	577	49	competitive	0	4.46	85.7	14.3	0	3,363	1,263	competitive	0	1.27	35	59	6	8,354	5,123	competitive	0	0.32	9	56	35	0.0474	0.594	-0.0474	-0.594	100	101	2,351	1	2,203	0.1579	0.8966	0.2039	0.8788	0.0635	53.6	1.45	1,850	21.2	0.7403	-31.6	null	-1,850	28.8	-0.7403	competitive	0	0.27	5	62	33	0.3933	4.23	0.84	0.1906	0.659	-0.1906	-0.659	100	101	16,678	1	18,849	0.1153	0.9272	0	0.9074	0.0722	53.2	1	2,241	14.3	0.8031	-31.2	null	-2,241	35.7	-0.8031	competitive	0	0.0004	1.18	0.05	0.3243	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-19.1	null	-531	-0.4595	0.0601	0.9087	0	0.7759	0.0391	741,996	0.2967	29.6	1	717,607	44.5	8.8	46.7	791,802	2,406	48.2	4.1	377	23.1	0.4583	-25.9	null	-377	-0.4583	0.1505	0.7301	0	0.7414	0.0482	2,032	59.9	-59.9	2,406	1.56	6,391	1,727	0.2895	2,894.52	0.1	100,773	40	0.0222	222.38	0	666.67	0	99.01	0	99.01	0	99.01	0	99.01	-2	null	0	0	null	null	null	null	null	0.08	24,100	-0.02	0.21	723,252	0.031	0.16	-23,399	0.04	0.43	552,097	0.267	0.18	-162,713	0.227	0.75	137,304	0.814	0.1	-247	0.095	0.39	2,351	0.158	0.03	-1,205	0.093	0.32	16,678	0.115	null	null	null	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
6YJBU59F	Tim Hortons	Food and Drink	Restaurants	Restaurant	Restaurant, Fast food restaurant	4830 Cass Ave, Detroit, MI 48201	4830 Cass Ave	Detroit	Michigan	Cass Corridor	Midtown	48,201	US	true	42.355355	-83.066035	America/Detroit	(313) 83-***	1	CLOSED_TEMPORARILY	false	true	null	true	Detroit	Michigan	US	https	https://timhortons.com/store-locator/store/restaurant_71088	timhortons.com/store-locator/store/restaurant_71088	timhortons.com	com	10,767	1996-10-16	2026-10-15	CSC Corporate Domains, Inc.	"purchase_dataset@whopper.com, purchase_dataset@rbi.com, purchase_dataset@timhortons.com, purchase_d(...TRUNCATED)	realdomain	9	1	8	"Canadian chain for signature premium-blend coffee, plus light fare, pastries & breakfast sandwiches(...TRUNCATED)	true	true	3.52	315	{"1": 63, "2": 23, "3": 38, "4": 76, "5": 119}	Takeout, Dine-in	null	null	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Late-night food, Vegetarian options	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating	Restroom	null	null	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	false	true	purchase_dataset@	true	true	6	2025-10-06	2026-02-15	185	53	81	185	185	53	53	https://www.instagram.com/timhortons	timhortons	https://www.facebook.com/timhortons	timhortons	https://twitter.com/timhortonsus	timhortonsus	https://www.tiktok.com/@timhortons	timhortons	https://www.linkedin.com/company/tim-horton	tim-horton	https://www.youtube.com/user/timhortons	timhortons	null	null	null	null	null	null	586,637	0.54	null	0.57	0.54	0.54	1,413	233,300	603	2,000,000	1.31	null	1.52	1.21	1.31	null	null	null	2026-04-09T16:13:09.395944+00:00	91.79	null	0	2,990.4	13.9	58.4829	4.22	70.4	83.3	61.3	0.0979	null	null	null	null	0.6285	0.8787	0.6475	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	61.4	19.5	88	83	50	46	729	3,066	1,116	8,414	25,160	12,531	313,115	1,202,944	480,891	335,245	729	369,039	101	226,786	184,839	101	65,974	57,098	99	335,520	1,415	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.816	0.0152	0.497	-0.0152	-0.497	0.6185	0.0089	0.2527	-0.0089	-0.2527	0.7709	0.0105	0.4938	-0.0105	-0.4938	98	100	100	369,039	220,350	226,786	0.4988	0.7009	0.6956	0.6051	0.6285	41.6	1.14	682	18.6	0.5244	6.1	0.29	-363	5.9	-0.4265	184,839	257,591	65,974	0.75	0.6566	0.9129	0.5705	0.8787	50.8	1.15	1,808	16.8	0.6981	-3.1	0.28	-1,489	7.7	-0.6002	57,098	45,388	335,520	0.9217	Average	0.9383	0.5529	0.9462	0.6475	Strong	58	2.31	1,201	36.1	Market Leader	0.662	-10.3	-0.88	-882	-11.6	-0.5641	101	101	99	580	33	competitive	0.0047	31.83	46	41	13	3,101	1,054	competitive	0.0018	1.27	7	68	25	7,088	5,056	competitive	0.0027	0.31	4.1	42.9	53.1	0.0474	0.5978	-0.0474	-0.5978	100	101	648	1,145	1,273	0.7665	0.5907	0.5455	0.6068	0.2036	54	1.52	1,886	21.8	0.7399	-6.3	-0.09	-1,567	2.7	-0.642	competitive	0.0017	0.27	5	60	35	0.6475	4.23	0.84	0.1773	0.6488	-0.1773	-0.6488	100	101	4,849	6,770	12,808	0.7409	0.6412	0.3214	0.6849	0.1503	53.4	1.04	2,228	15.1	0.8025	-5.7	0.39	-1,909	9.4	-0.7046	competitive	0.0014	0.0004	1.18	0.05	0.5851	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	6.6	0.49	-212	-0.3616	0.6974	0.6183	0.5786	0.6345	0.1892	237,292	0.6381	4.1	301,654	333,131	44.5	8.8	46.7	791,802	2,406	48.2	4.1	377	23.1	0.4583	8.1	-0.6	-62	-0.3604	0.595	0.1231	0.6004	0.5805	0.205	971	59.9	-59.9	2,406	1.56	6,391	1,727	0.2952	2,951.73	0.1	100,773	40	0.0221	221.12	0.22	99.01	0.03	99.01	0.07	101.01	0.03	99.01	0.02	99.01	-15.8	-2.09	4	-36.8	null	null	null	null	null	-0.03	57,393	-0.071	0.62	369,028	0.499	-0.12	92,663	-0.121	0.77	184,762	0.75	0.2	-216,247	0.3	0.82	56,962	0.922	0.22	-688	0.248	0.65	648	0.767	0.26	-7,134	0.396	0.59	4,849	0.741	0.0979	null	null	314	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
QRQHLJP7	starbucks	Food and Drink	Restaurants	Restaurant	Restaurant	4001 W McNichols Rd, Detroit, MI 48221	4001 W McNichols Rd	Detroit	Michigan	Martin Park	Martin Park	48,221	US	true	42.41511	-83.139291	America/Detroit	null	2	CLOSED_TEMPORARILY	false	true	null	true	Detroit	Michigan	US	http	http://starbucks.com	starbucks.com	starbucks.com	com	11,854	1993-10-25	2026-10-24	CSC Corporate Domains, Inc.	null	null	0	0	0	Welcoming coffeehouse with handcrafted coffee, espresso & tea, plus breakfast, lunch & pastries.	true	true	0	0	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 0}	null	Great tea selection	null	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible seating	Coffee, Healthy options, Vegetarian options	Breakfast, Lunch	Wi-Fi	Casual	College students, Groups	null	null	Good for kids	false	true	purchase_dataset@	false	false	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-09T16:13:09.297629+00:00	0	null	6.3	2,951.73	83.7	58.4829	4.23	0	0	50	null	null	null	null	null	0.0287	0.0498	0.6698	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	25.2	19.5	0	50	50	46	1,929	3,965	3,965	16,399	32,481	32,481	716,509	1,501,948	1,501,948	773,174	1,929	660,159	26	448,731	527,530	101	365,320	112,439	101	185,954	1,722	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.8184	0.0396	0.4852	-0.0396	-0.4852	0.3057	0.04	-0.0649	-0.04	0.0649	0.4503	0.0334	0.0728	-0.0334	-0.0728	100	25	100	660,159	391,919	448,731	0.1135	0.4695	0.3981	0.7057	0.0287	34.6	0.68	430	22.3	0.2126	-9.3	null	-430	27.7	-0.2126	527,530	311,745	365,320	0.299	0.5846	0.5177	0.525	0.0498	44.1	0.99	876	15.2	0.3749	-18.8	null	-876	34.8	-0.3749	112,439	113,565	185,954	0.8473	Below Average	0.8462	0.7521	0.7644	0.6698	Average	55.2	1.83	1,553	25	Market Leader	0.6682	-29.9	null	-1,553	25	-0.6682	26	101	101	548	4	competitive	0	7.96	68	28	4	3,453	1,270	competitive	0	1.27	32	64	4	7,906	5,018	competitive	0	0.32	6	51	43	0.0474	0.5978	-0.0474	-0.5978	100	101	2,146	1	2,583	0.2321	0.8966	0.0364	0.7854	0.0724	54	1.52	1,886	21.8	0.7399	-28.7	null	-1,886	28.2	-0.7399	competitive	0	0.27	5	60	35	0.3727	4.23	0.84	0.1678	0.6474	-0.1678	-0.6474	100	101	15,720	1	18,338	0.1657	0.9272	0.0239	0.8647	0.0783	53.5	1.06	2,235	15.6	0.803	-28.2	null	-2,235	34.4	-0.803	competitive	0	0.0004	1.18	0.05	0.3516	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-15.8	null	-531	-0.4595	0.1276	0.9087	0	0.7759	0.0391	687,957	0.3237	29.6	1	717,607	44.5	8.8	46.7	791,802	2,406	48.2	4.1	377	23.1	0.4583	-22.6	null	-377	-0.4583	0.2054	0.7301	0	0.7414	0.0482	1,903	59.9	-59.9	2,406	1.56	6,391	1,727	0.2952	2,951.73	0.1	100,773	40	0.0222	221.81	0	384.62	0	99.01	0	99.01	0	99.01	0	99.01	-2	null	0	0	null	null	null	null	null	0.19	-45,989	0.072	0.31	660,152	0.114	0.16	-18,494	0.033	0.45	527,447	0.299	0.15	-133,330	0.188	0.82	112,066	0.847	0.03	-381	0.142	0.37	2,146	0.232	0.03	-1,735	0.118	0.35	15,720	0.166	null	null	null	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
JSR7KYTG	P & Q Subs	Food and Drink	Restaurants	Sandwich shop	Sandwich shop	13601 W McNichols Rd, Detroit, MI 48235	13601 W McNichols Rd	Detroit	Michigan	Harmony Village	null	48,235	US	true	42.41622	-83.180305	America/Detroit	(313) 34-***	0	CLOSED_TEMPORARILY	false	false	null	true	Detroit	Michigan	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	0	0	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 0}	null	null	null	null	null	null	null	null	null	null	null	Good for kids	false	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/p--q-sub-shop/menu	null	null	2026-04-09T16:12:51.778004+00:00	0	null	7.1	2,130.91	127.6	58.4829	3.89	0	0	50	null	null	null	null	null	0.1507	0.0447	0.5807	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	21.9	19.5	0	17	50	46	1,877	3,829	3,829	16,054	31,486	31,486	703,831	1,462,725	1,462,725	759,488	1,877	719,143	29	359,338	544,189	101	351,367	134,748	101	233,818	1,722	2,004	4,117	16,881	33,170	734,279	1,460,619	734,279	0.7812	0.0447	0.4741	-0.0447	-0.4741	0.2772	-0.0177	-0.0888	0.0177	0.0888	0.4294	0.0341	0.0229	-0.0341	-0.0229	100	28	100	719,143	474,585	359,338	0.0365	0.3574	0.5179	0.3388	0.1507	30.7	0.52	520	11.3	0.3649	-8.7	null	-520	38.7	-0.3649	544,189	356,493	351,367	0.2776	0.525	0.5361	0.528	0.0447	43.7	0.87	900	15.3	0.3673	-21.7	null	-900	34.7	-0.3673	134,748	128,938	233,818	0.8173	Below Average	0.8259	0.6884	0.747	0.5807	Average	54.3	1.75	1,421	24.2	Strong	0.6434	-32.3	null	-1,421	25.8	-0.6434	29	101	101	416	34	competitive	0	8.91	75	21.4	3.6	3,437	1,058	competitive	0	1.27	36	59	5	7,982	5,016	competitive	0	0.32	6	59	35	0.0474	0.594	-0.0474	-0.594	100	101	2,351	1	2,203	0.1579	0.8966	0.2039	0.8788	0.0635	53.6	1.45	1,850	21.2	0.7403	-31.6	null	-1,850	28.8	-0.7403	competitive	0	0.27	5	62	33	0.3933	4.23	0.84	0.1906	0.659	-0.1906	-0.659	100	101	16,678	1	18,849	0.1153	0.9272	0	0.9074	0.0722	53.2	1	2,241	14.3	0.8031	-31.2	null	-2,241	35.7	-0.8031	competitive	0	0.0004	1.18	0.05	0.3243	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-19.1	null	-531	-0.4595	0.0601	0.9087	0	0.7759	0.0391	741,996	0.2967	29.6	1	717,607	44.5	8.8	46.7	791,802	2,406	48.2	4.1	377	23.1	0.4583	-25.9	null	-377	-0.4583	0.1505	0.7301	0	0.7414	0.0482	2,032	59.9	-59.9	2,406	1.56	6,391	1,727	0.2895	2,894.52	0.1	100,773	40	0.0222	222.38	0	344.83	0	99.01	0	99.01	0	99.01	0	99.01	-2	null	0	0	null	null	null	null	null	0.07	22,627	-0.018	0.28	719,143	0.037	0.14	-7,785	0.019	0.43	544,189	0.278	0.19	-165,270	0.23	0.78	134,748	0.817	0.1	-247	0.095	0.39	2,351	0.158	0.03	-1,205	0.093	0.32	16,678	0.115	null	null	null	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

End of preview. Expand in Data Studio

All Restaurants in Detroit, Michigan, US

Free sample dataset from BeamStation

This dataset provides a complete export of every restaurant operating in Detroit, Michigan, United States. It contains 1,965 records that are refreshed weekly, ensuring users have access to the most current listings. Each record includes all available columns from the source, such as establishment name, address, cuisine type, contact information, hours of operation, and any additional attributes captured by the provider. Researchers, urban planners, food‑industry analysts, and developers building location‑based services can use this data to map dining options, study market saturation, or power recommendation engines. Because the file is a full city‑level export, it supports both broad demographic studies and granular neighborhood‑level investigations without needing to combine multiple sources. The straightforward structure makes it easy to import into spreadsheets, databases, or GIS tools for immediate analysis or integration into larger workflows.

Dataset Details

Field	Value
Full dataset	1,965 records
Sample size	196 records
Location	Detroit
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/all-restaurants-in-detroit-michigan-us-208407")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 1,965 records and unmasked contact data is available at:

All Restaurants in Detroit, Michigan, US on BeamStation

License

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

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