Datasets:

beamstation
/

top-300-active-restaurant-whales-with-email-in-chicago-illinois-us-610865

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github string	social_username_github string	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	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_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
HZUDKF57	Noon O Kabab Chicago	Food and Drink	Restaurants	Restaurant	Restaurant, Caterer, Delivery service, Kebab shop, Persian restaurant	4701 N Kedzie Ave, Chicago, IL 60625	4701 N Kedzie Ave	Chicago	Illinois	Kimball	Albany Park	60,625	US	true	41.967076	-87.708063	America/Chicago	(773) 27-***	2	null	true	true	null	true	Chicago	Illinois	US	https	https://noonokabab.com	noonokabab.com	noonokabab.com	com	9,908	1999-02-20	2027-02-20	GoDaddy.com, LLC	purchase_dataset@noonokabab.com, purchase_dataset@gmail.com	realdomain	2	1	1	Casual eatery serving a Persian menu inspired by family recipes including grilled kebabs & wraps.	true	true	0.26	4,851	{"1": 303, "2": 98, "3": 172, "4": 604, "5": 3686}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Halal food, Hard liquor, Late-night food, Private d(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs	true	true	purchase_dataset@	true	true	6	2022-12-05	2026-03-09	1,219	29	107	1,219	1,219	29	29	https://www.instagram.com/noonokabab	noonokabab	https://www.facebook.com/noonokabab.chicago	noonokabab.chicago	https://twitter.com/persianalitynok	persianalitynok	https://www.tiktok.com/@noon_o_kabab	noon_o_kabab	https://www.linkedin.com/company/noon-o-kabab-restaurant	noon-o-kabab-restaurant	https://www.youtube.com/channel/uckfxkkbqxdv7log8o33hi1a	uckfxkkbqxdv7log8o33hi1a	null	null	null	null	null	null	13,748	2.86	null	0.2	0.29	0.29	464	1,881	210	19,500	3.18	4.11	2.92	3.94	3.92	https://noonokabab.com	null	null	2026-04-06T15:33:17.388698+00:00	0.95	27.78	0	1,550.11	6	42.2473	1.9	5.2	100	1.2	0.6479	0.0932	0.1542	0.1488	0.1488	0.8058	0.9584	0.9371	57.7	57.4	57.14	14.29	28.57	52.08	4.17	43.75	49.06	3.77	47.17	49.06	3.77	47.17	declining	stable	-0.061	0.3	0.0054	0.5	7	48	53	53	81.1	262.3	-56.2	52.3	42.8	100	100	64.1	100	382	7,682	511	891	23,804	1,123	18,120	697,303	22,757	19,119	382	583,450	107	513,699	255,402	166	190,695	300,102	174	212,516	79	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.5175	0.121	0.6141	-0.0278	-0.4599	0.2405	0.1063	0.3111	-0.0131	-0.1569	0.5416	0.1005	0.5964	-0.0073	-0.4422	173	106	165	583,450	588,194	513,699	0.2145	0.2046	0.3111	0.1716	0.8058	37.2	0.33	370	7.5	0.5908	15.1	-0.07	4,481	-6.3	0.0571	255,402	614,753	190,695	0.657	0.1812	0.7482	0.1314	0.9584	49.4	0.4	1,232	6.2	0.7552	2.9	-0.14	3,619	-5	-0.1073	300,102	580,335	212,516	0.5915	Below Average	0.2195	0.7168	0.2279	0.9371	Average	50.5	0.48	1,476	8	Average	0.7603	1.8	-0.22	3,375	-6.8	-0.1124	107	166	174	520	54	competitive	0.11	33.74	57.5	40.6	1.9	3,539	1,331	competitive	0.0233	2.1	0.6	93.9	5.5	7,551	5,025	competitive	0.0186	0.55	1.2	92.5	6.4	0.1454	0.6574	-0.0522	-0.5032	190	191	1,057	6,075	68	0.8942	0.3956	0.9934	0.2102	0.6714	52.5	0.81	2,172	12.6	0.7771	-0.2	-0.55	2,679	-11.4	-0.1292	competitive	0.0116	0.31	0.5	84.2	15.3	0.7744	1.92	0.36	0.1855	0.663	-0.0923	-0.5088	196	197	6,978	19,104	102	0.77	0.3746	0.9967	0.1826	0.6959	58.6	1.7	2,416	25.1	0.7605	-6.3	-1.44	2,435	-23.9	-0.1126	competitive	0.0101	0.0013	0.68	0.09	0.7194	0.059	0.2307	0.0342	-0.0765	791,801	41.1	0.94	531	20.4	0.4595	11.2	-0.68	4,320	0.1884	0.8084	0.5153	0.9937	0.2541	0.6574	150,255	0.776	-19.2	380,690	5,020	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	20.5	0.01	821	0.2029	0.9213	0.285	0.9586	0.6919	0.6764	653	60.22	23.06	0.5837	8,450	0.69	14,455	4,521	0.1502	1,502.34	0.15	65,370	85	0.037	369.54	121.01	93.46	5.43	60.24	3.48	57.47	1.35	52.36	1.03	50.76	-30.6	-4.08	3,656	-82.5	-35	null	null	null	null	null	-0.39	324,678	-0.428	0.24	583,449	0.215	-0.39	227,275	-0.303	0.54	255,399	0.657	-0.43	268,737	-0.363	0.52	300,093	0.592	-0.04	457	-0.044	0.77	1,057	0.894	-0.1	5,357	-0.174	0.72	6,978	0.77	0.6479	57.14	14.29	1,210	0.33	10	0.961	0.961	decelerating	0.33	2.33	10	10	51	389	0.977	0.977	0.977	0.961	0.961	18,798	19,592	19,626	38	112	decelerating	0	null	78.93
SN2PHLKD	Beatnik On The River	Food and Drink	Restaurants	Mediterranean restaurant	Mediterranean restaurant, Bar, Cocktail bar, Eclectic restaurant, Restaurant, Wine bar	180 N Wacker Dr, Chicago, IL 60606	180 N Wacker Dr	Chicago	Illinois	Chicago Loop	The Loop	60,606	US	true	41.885175	-87.637178	America/Chicago	(312) 52-***	3	OPERATIONAL	true	true	null	true	Chicago	Illinois	US	http	http://beatnikontheriver.com	beatnikontheriver.com	beatnikontheriver.com	com	2,916	2018-04-13	2026-04-13	GoDaddy.com, LLC	"purchase_dataset@beatnikontheriver.com, purchase_dataset@beatnikontheriver.com, purchase_dataset@be(...TRUNCATED)	realdomain	3	3	0	"Creative global eats and tropical cocktails, served in a funky-ornate setting with riverfront seats(...TRUNCATED)	true	true	0.14	2,995	{"1": 237, "2": 178, "3": 315, "4": 525, "5": 1750}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Great beer selection, Great cocktails, Great dessert, Great wine list, Live music	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Hard liquor, Healthy options, Late-night food,(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Lively, Romantic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	High chairs	true	true	purchase_dataset@	true	true	3	2025-05-02	2026-03-01	340	37	55	340	340	37	37	https://www.instagram.com/beatnikontheriver	beatnikontheriver	https://www.facebook.com/beatnikontheriver	beatnikontheriver	null	null	https://www.tiktok.com/@beatnikontheriver	beatnikontheriver	null	null	null	null	null	null	null	null	null	null	7,819	0.05	null	0.04	0.05	0.05	143	232	11	1,350	2.99	null	4.98	3.34	2.99	https://beatnikontheriver.com/menus	https://resy.com/cities/chicago-il/venues/beatnik-on-the-river	https://resy.com/cities/chicago-il/venues/beatnik-on-the-river	2026-04-06T15:32:21.887788+00:00	0.54	16.67	0	1,562.4	11.9	42.2473	1.91	2.8	100	1.2	0.3959	0.1147	0.2786	0.3104	0.3016	0.946	0.9542	0.9386	63.9	65.1	66.67	33.33	0	63.89	30.56	5.56	64.29	26.19	9.52	63.27	26.53	10.2	declining	stable	-0.1639	-1.2	-0.023	-1.8	3	36	42	49	71.4	193.9	-75	47.8	39.5	64	100	64.9	100	163	9,845	220	334	30,765	431	7,663	896,220	9,382	7,849	163	39,614	173	8,991	175,674	182	32,871	342,811	174	309,106	169	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.4433	0.1113	0.5984	0.0034	-0.3198	0.8809	0.0787	0.5331	0.036	-0.2545	0.6996	0.1575	0.6144	-0.0428	-0.3358	173	172	181	39,614	229,763	8,991	0.945	0.6883	0.9879	0.4011	0.946	50.9	1.11	2,148	12.8	0.6901	-3.1	-0.97	847	-11.6	-0.2942	175,674	480,548	32,871	0.7625	0.3588	0.9566	0.2886	0.9542	51	0.6	2,201	9	0.7506	-3.2	-0.46	794	-7.8	-0.3547	342,811	611,674	309,106	0.5343	Market Leader	0.1771	0.5881	0.1368	0.9386	Strong	49.9	0.43	1,258	6.5	Average	0.7614	-2.1	-0.29	1,737	-5.3	-0.3655	173	182	174	717	85	competitive	0.008	54.75	10.5	70.9	18.6	2,639	1,004	competitive	0.0075	2.3	1.1	89	9.9	7,148	5,033	competitive	0.0136	0.55	1.2	93.1	5.8	0.1454	0.6567	-0.0307	-0.3781	190	191	2,124	6,705	189	0.7874	0.3266	0.9814	0.2102	0.389	52.6	0.81	2,193	12.6	0.7768	-4.8	-0.67	802	-11.4	-0.3809	competitive	0.0071	0.31	0.5	84.2	15.3	0.7074	1.92	0.36	0.1919	0.6668	-0.0772	-0.3882	196	197	10,933	21,396	350	0.64	0.2879	0.9886	0.1448	0.3898	58.6	1.72	2,399	25.4	0.7616	-10.8	-1.58	596	-24.2	-0.3657	competitive	0.0063	0.0013	0.68	0.09	0.639	0.059	0.2307	0.0557	0.0479	791,801	41.1	0.94	531	20.4	0.4595	6.7	-0.8	2,464	-0.0636	0.7003	0.4169	0.9784	0.2541	0.3759	235,088	0.6987	-19.2	449,046	17,099	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	14.2	-0.54	1,232	-0.0871	0.7498	0.1445	0.9824	0.4967	0.3552	2,095	60.22	6.93	0.3793	8,450	0.69	14,455	4,521	0.1517	1,517.04	0.15	65,370	85	0.0367	366.99	0.65	57.8	0.56	54.95	1.84	57.47	0.51	52.36	0.4	50.76	-25.5	-3.68	1,388	-64.6	-7.2	null	null	null	null	null	-0.1	33,534	-0.046	0.88	39,609	0.945	-0.28	160,889	-0.217	0.7	175,665	0.763	-0.45	301,455	-0.405	0.44	342,801	0.534	0.07	-816	0.082	0.71	2,124	0.787	0.01	1,299	-0.035	0.64	10,933	0.64	0.3959	66.67	33.33	1,621	0.2	6	0.798	0.811	decelerating	0.2	1.4	6	6	37	80	0.943	0.945	0.945	0.798	0.811	41,142	42,892	42,916	16	31	decelerating	-0.27	null	67.12
RU8FX64C	Ranalli's Pizza Bar - West Loop, Chicago	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	1326 W Madison St, Chicago, IL 60607	1326 W Madison St	Chicago	Illinois	West Loop	Near West Side	60,607	US	true	41.881701	-87.660801	America/Chicago	(312) 98-***	2	OPERATIONAL	true	true	null	true	Chicago	Illinois	US	https	https://ranalliswestloop.com	ranalliswestloop.com	ranalliswestloop.com	com	1,714	2021-07-28	2026-07-28	GoDaddy.com, LLC	"purchase_dataset@4cbars.com, purchase_dataset@4cbars.com, purchase_dataset@4cbars.com, purchase_dat(...TRUNCATED)	null	4	4	0	Large sports bar with 33 TVs, American food & a free shuttle to & from games at the United Center.	true	true	2.28	2,116	{"1": 28, "2": 18, "3": 75, "4": 261, "5": 1811}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Serves local specialty, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2025-10-28	2026-02-01	161	65	24	161	161	65	65	https://www.instagram.com/ranalliswestloop	ranalliswestloop	https://www.facebook.com/ranalliswestloop	ranalliswestloop	https://twitter.com/ranalliswl	ranalliswl	null	null	null	null	null	null	null	null	null	null	null	null	7,845	1.22	null	1.2	1.22	1.22	520	null	null	null	null	null	null	null	null	https://places.singleplatform.com/west-end-bar--grille/menu	https://restaurent.com/venue-details/ranalli's-west-loop-60607/r/recqabgmry4momaeo	https://restaurent.com/venue-details/ranalli's-west-loop-60607/r/recqabgmry4momaeo	2026-04-06T15:03:18.367437+00:00	0.29	11.11	0	1,246.22	5.9	22.3402	3.63	45.6	100	28.7	0.8576	1	0.5063	0.6658	0.7769	0.8978	0.9856	0.9487	75.3	88.8	100	0	0	76	24	0	83.72	15.12	1.16	89.67	9.24	1.09	improving	declining	0.4937	-13.5	-0.2706	-15.2	1	25	86	184	-41.9	-45.7	-88	61.7	32.8	64	100	79.6	100	252	4,991	347	563	15,350	726	12,132	446,813	14,952	12,485	252	185,203	101	165,027	149,777	101	1,929	349,998	101	111,776	23	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.4919	0.1382	0.5977	0.8618	-0.0914	0.6159	0.1488	0.3765	0.8512	0.1298	0.7508	0.2121	0.6517	0.7879	-0.1454	100	100	100	185,203	532,709	165,027	0.7468	0.2787	0.7785	0.1716	0.8978	45.4	0.42	785	7.5	0.6442	16.3	1.86	1,331	21.2	0.2134	149,777	418,414	1,929	0.7973	0.4423	0.9974	0.1635	0.9856	51.6	0.72	4,048	6.8	0.812	10.1	1.56	-1,932	21.9	0.0456	349,998	680,006	111,776	0.5252	Average	0.0883	0.851	0.0386	0.9487	Strong	49.8	0.32	1,835	4.2	Average	0.7696	11.9	1.96	281	24.5	0.088	101	101	101	696	33	competitive	0.0263	31.83	28	65	7	2,943	1,034	competitive	0.0052	1.27	2	86	12	7,101	5,015	competitive	0.0114	0.32	1	95	4	0.1713	0.6576	0.8287	-0.1513	100	101	224	1,428	984	0.9779	0.858	0.9024	0.8428	0.8934	50.2	0.52	3,381	5.8	0.8343	11.5	1.76	-1,265	22.9	0.0233	competitive	0.0062	0.16	1	91	8	0.9193	3.65	0.18	0.1847	0.6527	0.8153	-0.1464	100	101	794	4,738	4,486	0.9735	0.8447	0.8535	0.8272	0.8938	50.6	0.62	3,809	6.4	0.8388	11.1	1.66	-1,693	22.3	0.0188	competitive	0.0055	0.0007	1.33	0.04	0.8989	0.059	0.2307	0.941	0.2756	791,801	41.1	0.94	531	20.4	0.4595	20.6	1.34	1,585	0.3981	0.9293	0.6951	0.9541	0.6562	0.9333	55,164	0.8665	8.3	240,547	36,300	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	23.7	0.41	965	0.3934	0.968	0.4713	0.9728	0.8545	0.9243	262	60.22	32.7	0.8718	8,450	0.36	27,464	4,521	0.1231	1,231.2	0.08	128,125	85	0.0297	297.27	6.89	99.01	0.27	99.01	1.3	99.01	0.39	99.01	0.31	99.01	-27.1	-2.42	911	-64.7	-51.7	null	null	null	null	null	-0.27	137,545	-0.187	0.62	185,202	0.747	-0.24	138,268	-0.186	0.75	149,774	0.797	-0.41	308,642	-0.414	0.49	349,994	0.525	0	191	-0.019	0.92	224	0.978	-0.03	748	-0.025	0.9	794	0.974	0.8576	100	0	1,354	0.07	2	0.737	0.723	decelerating	0.07	0.47	2	2	34	185	0.732	0.739	0.74	0.737	0.723	156,567	163,872	163,540	73	304	decelerating	-0.8	null	89.56
4ZZNQSTJ	Popeyes Louisiana Kitchen	Food and Drink	Restaurants	Chicken restaurant	Chicken restaurant, Cajun restaurant, Fast food restaurant, Restaurant, Seafood restaurant	156 N Wabash Ave, Chicago, IL 60601	156 N Wabash Ave	Chicago	Illinois	Chicago Loop	The Loop	60,601	US	true	41.88482	-87.626516	America/Chicago	(312) 80-***	1	OPERATIONAL	true	true	null	true	Chicago	Illinois	US	https	https://popeyes.com/store-locator/store/restaurant_90000	popeyes.com/store-locator/store/restaurant_90000	popeyes.com	com	10,498	1997-07-10	2027-07-09	CSC Corporate Domains, Inc.	"purchase_dataset@whopper.com, purchase_dataset@popeyes.com, purchase_dataset@abmc-us.com, purchase_(...TRUNCATED)	realdomain	5	1	4	Louisiana-inspired fast-food chain known for its crispy fried chicken, chicken sandwiches & fries.	true	true	0.06	962	{"1": 163, "2": 67, "3": 142, "4": 194, "5": 415}	Outdoor seating, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	Comfort food, Quick bite	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual	College students, Family-friendly, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	8	2025-09-19	2026-03-09	200	29	110	200	200	29	29	https://www.instagram.com/popeyes	popeyes	https://www.facebook.com/popeyes	popeyes	https://twitter.com/popeyes	popeyes	https://www.tiktok.com/@popeyes	popeyes	https://www.linkedin.com/company/popeyes-louisiana-kitchen	popeyes-louisiana-kitchen	https://www.youtube.com/user/popeyes	popeyes	https://github.com/popeyes-secret-menu-discover-food	popeyes-secret-menu-discover-food	null	null	https://www.pinterest.com/popeyes	popeyes	568,220	0.98	null	0.41	0.98	0.98	1,132	311,000	547	1,600,000	0.9	4.97	0.14	0.9	0.9	https://popeyes.com/explore-menu	null	null	2026-04-06T14:56:56.766235+00:00	20.69	5.56	0	1,252.51	2.2	22.3402	3.64	1.2	99.5	0.8	0.2325	-1	-0.4049	-0.5959	-0.5959	0.9618	0.9791	0.9509	29.8	20.2	0	100	0	33.33	66.67	0	22.22	77.78	0	22.22	77.78	0	declining	improving	-0.5951	9.6	0.191	47.5	1	6	9	9	33.3	166.7	-50	44.9	27.4	92	100	42.1	100	1,480	10,506	2,025	4,524	32,862	5,950	124,814	949,619	173,603	134,658	1,480	8,650	101	1,009	184,839	101	10,359	371,496	101	103,217	292	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.4816	0.1695	0.575	-1.1695	-0.9799	0.9573	0.1462	0.6062	-1.1462	-1.0111	0.7036	0.2009	0.6087	-1.2009	-1.0136	100	100	100	8,650	91,513	1,009	0.9881	0.875	0.9986	0.4712	0.9618	56	1.64	3,780	14.6	0.7129	-11.1	-1.58	-2,818	-13.8	-0.4804	184,839	480,548	10,359	0.75	0.3588	0.9863	0.1473	0.9791	50.8	0.6	3,213	6.5	0.7983	-5.9	-0.54	-2,251	-5.7	-0.5658	371,496	685,177	103,217	0.4962	Market Leader	0.0814	0.8624	0.0334	0.9509	Strong	49.5	0.31	1,878	4	Average	0.7716	-4.6	-0.25	-916	-3.2	-0.5391	101	101	101	655	81	competitive	0.0025	31.83	0	65	35	2,635	1,011	competitive	0.003	1.27	1	88	11	7,169	5,022	competitive	0.0051	0.32	4	92	4	0.1813	0.6527	-1.1813	-1.0576	100	101	2,297	4,795	6,111	0.7696	0.508	0.3946	0.4967	0.2308	50.4	0.54	3,406	6.1	0.8346	-5.5	-0.48	-2,444	-5.3	-0.6021	competitive	0.0028	0.16	1	90	9	0.5786	3.65	0.18	0.1847	0.6571	-1.1847	-1.062	100	101	6,768	15,220	18,306	0.777	0.4921	0.4027	0.4889	0.2147	50.9	0.65	3,808	7.1	0.8385	-6	-0.59	-2,846	-6.3	-0.606	competitive	0.0025	0.0007	1.33	0.04	0.5793	0.059	0.2307	-1.059	-0.6356	791,801	41.1	0.94	531	20.4	0.4595	3.8	-0.88	431	-0.227	0.6139	0.207	0.8336	0.192	0.2518	303,207	0.5578	-19.6	604,586	131,547	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	9.6	-0.82	473	-0.242	0.6351	0.1037	0.844	0.2643	0.2371	3,064	60.22	11.08	0.4075	8,450	0.36	27,464	4,521	0.124	1,240.35	0.08	128,125	85	0.0297	297.19	0.06	99.01	0.09	99.01	0.26	99.01	0.08	99.01	0.06	99.01	-27.3	-3.54	103	-59.6	-24.8	null	null	null	null	null	-0.02	4,422	-0.006	0.96	8,647	0.988	-0.28	168,435	-0.227	0.7	184,828	0.75	-0.42	318,752	-0.428	0.48	371,472	0.496	0.02	-924	0.093	0.58	2,297	0.77	0.03	-3,915	0.137	0.58	6,768	0.777	0.2325	0	100	862	0.03	1	0.349	0.398	decelerating	0.03	0.23	1	1	7	59	0.507	0.515	0.517	0.349	0.398	253,363	266,224	265,236	58	172	decelerating	-0.04	null	71.05
NGE2RGM4	State and Lake Chicago Tavern	Food and Drink	Restaurants	Restaurant	Restaurant	201 N State St Floor 1, Chicago, IL 60601	201 N State St Floor 1	Chicago	Illinois	Chicago Loop	The Loop	60,601	US	true	41.886041	-87.627623	America/Chicago	(312) 23-***	2	OPERATIONAL	true	true	null	true	Chicago	Illinois	US	https	https://stateandlakechicago.com	stateandlakechicago.com	stateandlakechicago.com	com	6,355	2008-11-12	2026-11-12	Pair Domains	purchase_dataset@thewithotel.com	null	1	0	1	Stylish hotel restaurant with pub-style bar serving craft beer, an American wine list & cocktails.	true	true	0.17	1,013	{"1": 60, "2": 65, "3": 104, "4": 256, "5": 532}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great wine list, Live music, Sports	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Brunch reservations recommended, Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-11-10	2026-02-13	148	53	24	148	148	53	53	https://www.instagram.com/stateandlakechicagotavern	stateandlakechicagotavern	https://www.facebook.com/stateandlakechicagotavern	stateandlakechicagotavern	https://twitter.com/stateandlakechi	stateandlakechi	null	null	https://www.linkedin.com/in/rachel-smith-59007016	rachel-smith-59007016	null	null	null	null	null	null	null	null	2,267	0.41	null	0.48	0.41	0.41	2,280	null	null	null	null	null	null	null	null	https://stateandlakechicago.com/menu	https://stateandlakechicago.com/reservations	https://stateandlakechicago.com/reservations	2026-04-06T14:51:59.696034+00:00	0.08	11.11	0.3	1,245.44	4.5	22.3402	3.64	3.4	100	3.2	0.5401	-0.5522	0.5289	0.3286	0.3552	0.9692	0.9789	0.9477	76.4	67.8	0	100	0	93.33	6.67	0	68.97	20.69	10.34	68.75	18.75	12.5	declining	improving	-1.0811	8.6	0.1737	12.7	1	15	29	32	3.4	87.5	-80	47.6	32.8	48	100	78.3	100	1,200	7,889	1,628	3,534	24,424	4,623	99,240	717,488	137,040	107,647	1,200	8,389	101	568	189,678	101	18,538	356,855	101	105,367	136	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.4885	0.175	0.5662	-0.7272	-0.0373	0.9584	0.1389	0.6176	-0.6911	-0.0887	0.6878	0.2093	0.6107	-0.7615	-0.0818	100	100	100	8,389	89,613	568	0.9884	0.8775	0.9992	0.4674	0.9692	56.1	1.65	4,276	14.5	0.728	-8.5	-1.48	-3,263	-11.3	-0.1879	189,678	505,028	18,538	0.7435	0.3258	0.9755	0.126	0.9789	50.7	0.56	2,684	6.1	0.7977	-3.1	-0.39	-1,671	-2.9	-0.2576	356,855	685,177	105,367	0.5155	Market Leader	0.0814	0.8595	0.0334	0.9477	Strong	49.7	0.31	1,867	4	Average	0.7687	-2.1	-0.14	-854	-0.8	-0.2286	101	101	101	621	67	competitive	0.0024	31.83	0	65	35	2,715	1,043	competitive	0.0038	1.27	1	89	10	7,148	5,018	competitive	0.0054	0.32	4	92	4	0.1813	0.6527	-0.7335	-0.1238	100	101	1,599	3,114	6,070	0.8385	0.6808	0.3987	0.6981	0.47	50.4	0.54	3,406	6.1	0.8346	-2.8	-0.37	-2,393	-2.9	-0.2945	competitive	0.003	0.16	1	90	9	0.6592	3.65	0.18	0.1847	0.6526	-0.7369	-0.1237	100	101	4,935	9,611	18,067	0.837	0.6804	0.4104	0.6951	0.4568	50.7	0.62	3,788	6.4	0.8383	-3.1	-0.45	-2,775	-3.2	-0.2982	competitive	0.0027	0.0007	1.33	0.04	0.6621	0.059	0.2307	-0.6112	0.2982	791,801	41.1	0.94	531	20.4	0.4595	6.5	-0.77	482	0.0806	0.6947	0.4574	0.8443	0.4826	0.5219	239,562	0.6684	-17.2	421,576	123,144	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	10.7	-0.04	604	0.0741	0.6645	0.2715	0.8728	0.6132	0.5066	2,816	60.22	23.91	0.6042	8,450	0.36	27,464	4,521	0.124	1,240.35	0.08	128,125	85	0.0296	295.66	0.06	99.01	0.14	99.01	0.29	99.01	0.09	99.01	0.07	99.01	-26.2	-3.95	22	-74.1	-23.1	null	null	null	null	null	-0.02	5,371	-0.007	0.96	8,366	0.988	-0.29	172,583	-0.232	0.69	189,599	0.744	-0.41	311,830	-0.419	0.49	356,749	0.516	0.01	-1,224	0.122	0.66	1,599	0.839	0.02	-4,235	0.146	0.66	4,935	0.837	0.5401	0	100	993	0.07	2	0.715	0.679	decelerating	0.07	0.47	2	2	16	61	0.732	0.739	0.74	0.715	0.679	156,567	163,872	163,540	208	741	decelerating	-0.2	null	82.64
KLNP4VER	Chicago Waffles Oak Park	Food and Drink	Restaurants	Breakfast restaurant	"Breakfast restaurant, Brunch restaurant, Cocktail bar, Gluten-free restaurant, Lunch restaurant, Ne(...TRUNCATED)	726 Lake St, Oak Park, IL 60301	726 Lake St	Chicago	Illinois	null	null	60,301	US	true	41.888806	-87.793917	America/Chicago	(847) 92-***	2	null	true	true	null	true	Chicago	Illinois	US	https	https://chicagowaffles.com/oak-park	chicagowaffles.com/oak-park	chicagowaffles.com	com	4,514	2013-11-27	2028-11-27	HOSTINGER operations, UAB	purchase_dataset@gmail.com, purchase_dataset@gmail.com	null	2	2	0	null	true	false	3.74	810	{"1": 35, "2": 22, "3": 24, "4": 72, "5": 678}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Serves local specialty	Breakfast, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Quick bite, Salad bar(...TRUNCATED)	Breakfast, Brunch, Lunch, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-05-03	2026-02-26	339	40	36	339	339	40	40	https://www.instagram.com/chicagowaffles	chicagowaffles	https://www.facebook.com/chicagowaffles	chicagowaffles	https://twitter.com/chicagowaffles	chicagowaffles	null	null	https://www.linkedin.com/company/chicago-waffles	chicago-waffles	null	null	null	null	null	null	null	null	9,572	0.38	null	0.33	0.32	0.38	1,084	null	null	null	null	null	null	null	null	https://chicagowaffles.com/oak-park-menu	null	null	2026-04-06T13:43:45.987585+00:00	0.35	16.67	0	1,268.59	4.5	22.3402	3.64	74.8	97	74.1	0.7905	-0.8647	0.5904	0.8181	0.8583	0.7103	0.4317	0.8961	79.5	92.9	0	100	0	78.79	21.21	0	91.61	7.69	0.7	93.24	5.88	0.88	declining	declining	-1.4551	-13.4	-0.2679	-14.4	1	33	143	340	-53.8	-61.2	-90.9	71.6	35.1	48	83	83.2	100	1,565	4,409	2,152	4,843	13,538	6,393	133,666	391,117	186,387	144,011	1,565	325,566	71	307,066	280,200	101	180,948	349,998	101	120,644	8	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.5251	0.1726	0.5	-1.0373	0.0904	0.4754	0.1497	0.316	-1.0144	0.2744	0.5518	0.1487	0.2872	-1.0134	0.3032	100	70	100	325,566	551,499	307,066	0.5572	0.2537	0.588	0.2717	0.7103	42.4	0.39	578	9.8	0.5519	29.2	3.35	232	64.3	0.2386	280,200	564,598	180,948	0.6239	0.2465	0.7611	0.2147	0.4317	48.9	0.47	1,258	7.7	0.544	22.7	3.27	-448	66.4	0.2465	349,998	586,587	120,644	0.5252	Average	0.211	0.8392	0.1213	0.8961	Average	49.8	0.47	1,795	6.2	Average	0.7349	21.8	3.27	-985	67.9	0.0556	71	101	101	588	0	competitive	0.0196	22.28	37.1	57.1	5.7	3,151	1,010	competitive	0.0064	1.27	5	87	8	8,403	5,004	competitive	0.0045	0.32	2	90	8	0.1813	0.6542	-1.046	-0.0638	100	101	37	1,043	6,428	0.9961	0.8966	0.3632	0.9944	0.8011	50.6	0.58	3,471	6.2	0.8352	21	3.16	-2,661	67.9	-0.0447	competitive	0.0023	0.16	1	89	10	0.7764	3.65	0.18	0.1847	0.6516	-1.0494	-0.0612	100	101	72	2,775	18,802	0.9976	0.9093	0.3865	0.9925	0.7999	50.8	0.66	3,779	6.9	0.8389	20.8	3.08	-2,969	67.2	-0.0484	competitive	0.0021	0.0007	1.33	0.04	0.7878	0.059	0.2307	-0.9237	0.3597	791,801	41.1	0.94	531	20.4	0.4595	30.5	2.8	279	0.331	0.9913	0.8565	0.796	0.9767	0.8632	6,701	0.8923	53.7	113,144	161,328	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	24.5	0.5	434	0.3339	0.9754	0.5125	0.8351	0.9833	0.8631	202	60.22	32.14	0.8543	8,450	0.36	27,464	4,521	0.1264	1,263.79	0.08	128,125	85	0.0295	294.98	3.85	140.85	0.41	99.01	0.2	99.01	0.05	99.01	0.05	99.01	-11.9	-0.87	-8	-16.1	-43.5	null	null	null	null	null	-0.15	116,413	-0.153	0.48	325,565	0.557	0	-1,097	0.006	0.55	280,198	0.624	-0.31	253,985	-0.336	0.53	349,990	0.525	-0.07	-450	0.047	0.78	37	0.996	-0.07	-1,274	0.044	0.79	72	0.998	0.7905	0	100	823	0.1	3	0.664	0.648	decelerating	0.1	0.7	3	3	51	341	0.834	0.839	0.839	0.664	0.648	104,497	109,172	109,042	27	109	decelerating	-0.47	null	91.71
BCCERS2H	PLANTA Queen	Food and Drink	Restaurants	Vegan restaurant	"Vegan restaurant, Asian fusion restaurant, Caterer, Family restaurant, Takeout Restaurant, Restaura(...TRUNCATED)	413 N Clark St, Chicago, IL 60654	413 N Clark St	Chicago	Illinois	Near North Side	Near North	60,654	US	true	41.889873	-87.630853	America/Chicago	(630) 69-***	3	OPERATIONAL	true	true	null	true	Chicago	Illinois	US	https	https://plantarestaurants.com/location/planta-chicago	plantarestaurants.com/location/planta-chicago	plantarestaurants.com	com	3,144	2017-08-28	2027-08-28	GoDaddy.com, LLC	"purchase_dataset@plantahq.com, purchase_dataset@plantahq.com, purchase_dataset@plantahq.com, purcha(...TRUNCATED)	null	13	13	0	null	true	false	0.18	2,189	{"1": 74, "2": 55, "3": 80, "4": 155, "5": 1829}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great dessert, Great tea selection, Great wine list	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Healthy options, Sm(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy, Upscale	Groups, Tourists	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	High chairs	true	true	purchase_dataset@	true	true	5	2022-10-21	2025-03-04	1,264	399	68	1,264	1,264	399	399	https://www.instagram.com/plantarestaurants	plantarestaurants	https://www.facebook.com/plantaqueenny	plantaqueenny	https://twitter.com/plantaresto	plantaresto	https://www.tiktok.com/@planta_restaurants	planta_restaurants	https://www.linkedin.com/company/planta-restaurants	planta-restaurants	null	null	null	null	null	null	null	null	0	null	null	null	null	null	0	1,874	271	34,600	1.13	null	null	null	null	https://plantarestaurants.com/location/planta-chicago/#planta-queen-chicago-all-day	https://resy.com/cities/chicago-il/venues/planta-queen-chicago	https://resy.com/cities/chicago-il/venues/planta-queen-chicago	2026-04-06T12:24:27.250318+00:00	0.13	36.11	0.3	1,521.39	7.1	42.2473	1.91	3.6	100	3.4	0.8182	0.416	0.4938	0.5239	0.548	0.9501	0.9555	0.9371	74.7	77.4	62.5	12.5	25	77.59	17.24	5.17	79.45	15.07	5.48	81.01	13.92	5.06	declining	declining	-0.0778	-2.7	-0.0542	-3.5	8	58	73	79	58.9	193.7	-58.6	51.2	44.5	80	83	79.8	100	83	5,724	121	144	17,683	203	3,643	514,658	4,497	3,753	83	30,115	183	3,384	184,839	179	74,151	378,635	177	309,560	116	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.4138	0.118	0.5946	0.3404	-0.0901	0.882	0.1137	0.5438	0.3447	-0.0393	0.6783	0.1315	0.615	0.3269	-0.1105	176	182	178	30,115	245,748	3,384	0.9584	0.6667	0.9955	0.3432	0.9501	51.7	1.06	2,880	11.4	0.6947	-0.5	-0.88	-691	-8	0.1235	184,839	480,548	74,151	0.75	0.3588	0.9022	0.3132	0.9555	50.8	0.6	1,737	9.5	0.7522	0.4	-0.42	452	-6.1	0.066	378,635	637,913	309,560	0.4867	Market Leader	0.1429	0.5875	0.1029	0.9371	Strong	49.4	0.39	1,257	5.8	Average	0.7603	1.8	-0.21	932	-2.4	0.0579	183	179	177	538	41	competitive	0.0042	57.93	6.6	73.1	20.3	2,867	1,006	competitive	0.007	2.27	0.6	91.6	7.9	7,132	5,014	competitive	0.0098	0.56	2.3	92.6	5.1	0.143	0.6536	0.3154	-0.1491	190	191	1,244	6,475	303	0.8747	0.3539	0.9701	0.3644	0.9117	52.5	0.81	2,175	12.6	0.7765	-1.3	-0.63	14	-9.2	0.0417	competitive	0.0053	0.31	0.5	84.2	15.3	0.7471	1.92	0.36	0.1884	0.6658	0.27	-0.1613	196	197	7,738	19,902	694	0.7453	0.3457	0.9774	0.358	0.9283	58.5	1.7	2,398	25	0.7637	-7.3	-1.52	-209	-21.6	0.0545	competitive	0.0046	0.0013	0.68	0.09	0.695	0.059	0.2307	0.3994	0.2738	791,801	41.1	0.94	531	20.4	0.4595	10.1	-0.76	1,658	0.3587	0.7863	0.4676	0.9573	0.4913	0.8957	167,577	0.742	-17	414,939	33,786	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	20.6	0.32	1,777	0.3552	0.9229	0.4169	0.9909	0.6363	0.8889	640	60.22	32.04	0.8505	8,450	0.69	14,455	4,521	0.1504	1,504.39	0.15	65,370	85	0.0367	366.8	0.17	54.64	0.49	55.87	0.96	56.5	0.28	52.36	0.21	50.76	-34.1	-4.47	46	-87.1	-33.1	null	null	null	null	null	-0.1	27,910	-0.038	0.88	30,114	0.958	-0.29	167,744	-0.226	0.68	184,838	0.75	-0.47	325,891	-0.437	0.41	378,634	0.487	-0.16	1,009	-0.101	0.75	1,244	0.875	-0.23	7,144	-0.234	0.7	7,738	0.745	0.8182	66.67	11.11	2,166	0.43	13	0.972	0.96	decelerating	0.43	3.03	13	13	67	290	0.985	0.985	0.985	0.972	0.96	12,740	13,258	13,284	2	3	decelerating	-0.4	null	90.58
NB3LA28Q	Wingstop	Food and Drink	Restaurants	Chicken wings restaurant	Chicken wings restaurant	456 E 35th St, Chicago, IL 60616	456 E 35th St	Chicago	Illinois	Douglas	Lake Meadows	60,616	US	true	41.831544	-87.61474	America/Chicago	(312) 84-***	1	null	true	true	null	true	Chicago	Illinois	US	https	https://wingstop.com/location/wingstop-1444-chicago-il-60616/menu	wingstop.com/location/wingstop-1444-chicago-il-60616/menu	wingstop.com	com	10,629	1997-03-01	2027-12-02	GoDaddy Corporate Domains, LLC	"purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purcha(...TRUNCATED)	realdomain	8	6	2	Casual counter-serve chain serving a variety of chicken wings & sides.	true	true	0.55	836	{"1": 67, "2": 17, "3": 26, "4": 54, "5": 672}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Quick bite, Small plates	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual	College students, Family-friendly, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	7	2025-07-14	2026-03-09	267	29	92	267	267	29	29	https://www.instagram.com/wingstop	wingstop	https://www.facebook.com/wingstop	wingstop	https://twitter.com/wingstop	wingstop	https://www.tiktok.com/@wingstop	wingstop	https://www.linkedin.com/company/wingstop-restaurants-inc-	wingstop-restaurants-inc-	https://www.youtube.com/wingstop	wingstop	null	null	null	null	https://www.pinterest.com/wingstop	wingstop	764,945	1.58	null	0.28	0.48	1.58	792	978,900	683	7,700,000	1.94	1.8	3.36	2.67	1.94	https://wingstop.com/location/wingstop-1444-chicago-il-60616/menu	null	null	2026-04-06T09:05:42.952285+00:00	32.61	41.94	0	734.3	4.4	22.3402	2.72	11	97.4	11.4	0.6633	0.6178	0.6476	0.5884	0.5501	0.0422	0.7653	0.937	82.4	77.5	93.75	6.25	0	96.67	3.33	0	94.87	2.56	2.56	96.43	1.79	1.79	stable	improving	-0.0298	4.9	0.0975	6.3	16	30	39	56	53.8	114.3	60	61.6	71.3	96	100	84.6	100	1,486	2,584	2,034	4,542	7,510	5,977	125,472	210,800	174,592	135,344	1,486	682,827	29	378,166	313,382	163	111,529	219,325	182	31,574	47	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.7075	0.1422	0.622	0.4756	0.0256	0.2149	0.0436	-0.0781	0.5742	0.7257	0.5721	0.1435	0.4625	0.4743	0.1851	181	28	162	682,827	658,914	378,166	0.0839	0.1118	0.4926	0.4289	0.0422	33.5	0.21	500	13.5	0.2545	28.1	0.34	336	-2.1	0.4088	313,382	538,167	111,529	0.5792	0.282	0.8527	0.1918	0.7653	48.3	0.51	1,508	7.3	0.6475	13.3	0.04	-672	4.1	0.0158	219,325	397,282	31,574	0.701	Below Average	0.4657	0.958	0.3715	0.937	Average	51.8	0.8	2,496	10.9	Strong	0.7602	9.8	-0.25	-1,660	0.5	-0.0969	29	163	182	532	21	competitive	0.0563	8.91	71.4	28.6	0	3,516	1,108	competitive	0.0034	2.06	7.4	86.4	6.2	7,206	5,113	competitive	0.0018	0.58	1.1	85.6	13.3	0.1431	0.6539	0.4747	-0.0063	190	191	299	2,618	1,069	0.9705	0.7379	0.8939	0.7417	0.6923	52.5	0.81	2,168	12.5	0.7772	9.1	-0.26	-1,332	-1.1	-0.1139	competitive	0.002	0.31	0.5	84.7	14.7	0.8777	1.92	0.36	0.1949	0.664	0.4229	-0.0164	196	197	2,278	18,163	3,708	0.9247	0.4066	0.8789	0.4112	0.7186	58.7	1.73	2,388	25.5	0.762	2.9	-1.18	-1,552	-14.1	-0.0987	competitive	0.0018	0.0013	0.68	0.09	0.7555	0.059	0.2307	0.5588	0.4169	791,801	41.1	0.94	531	20.4	0.4595	20.5	-0.39	305	0.2038	0.9284	0.5721	0.8032	0.5831	0.6794	55,953	0.7839	-9	338,150	155,619	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	26.4	0.83	469	0.2347	0.9867	0.6327	0.8431	0.7733	0.7246	110	60.22	29.78	0.7749	8,450	0.69	14,455	4,521	0.15	1,500.2	0.15	65,370	85	0.0365	365.3	31.7	344.83	0.12	61.35	0.03	54.95	0.04	52.36	0.03	50.76	-23.3	-3.95	1	-75.5	24.3	null	null	null	null	null	0.07	-22,621	0.041	0.21	682,827	0.084	-0.28	221,206	-0.292	0.57	313,382	0.579	-0.26	198,119	-0.268	0.71	219,325	0.701	0.05	5	0.001	0.88	299	0.971	-0.08	1,574	-0.051	0.76	2,278	0.925	0.6633	93.75	6.25	858	0.57	17	0.959	0.971	accelerating	0.57	3.97	17	17	30	65	0.99	0.99	0.99	0.959	0.971	8,606	8,948	8,961	4	9	accelerating	0.14	null	89.83
6WKBZGXQ	Wingstop	Food and Drink	Restaurants	Chicken wings restaurant	Chicken wings restaurant	500 W Roosevelt Rd Ste 3, Chicago, IL 60607	500 W Roosevelt Rd Ste 3	Chicago	Illinois	Near West Side	South Loop	60,607	US	true	41.867722	-87.639708	America/Chicago	(312) 26-***	1	null	true	true	null	true	Chicago	Illinois	US	https	https://wingstop.com/location/wingstop-1215-chicago-il-60607/menu	wingstop.com/location/wingstop-1215-chicago-il-60607/menu	wingstop.com	com	10,629	1997-03-01	2027-12-02	GoDaddy Corporate Domains, LLC	"purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purcha(...TRUNCATED)	realdomain	7	5	2	Casual counter-serve chain serving a variety of chicken wings & sides.	true	true	0.33	1,293	{"1": 130, "2": 42, "3": 72, "4": 124, "5": 925}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Quick bite, Small plates	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Trendy	College students, Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	7	2025-07-14	2026-03-09	267	29	92	267	267	29	29	https://www.instagram.com/wingstop	wingstop	https://www.facebook.com/wingstop	wingstop	https://twitter.com/wingstop	wingstop	https://www.tiktok.com/@wingstop	wingstop	https://www.linkedin.com/company/wingstop-restaurants-inc-	wingstop-restaurants-inc-	https://www.youtube.com/wingstop	wingstop	null	null	null	null	https://www.pinterest.com/wingstop	wingstop	764,945	1.58	null	0.28	0.48	1.58	792	978,900	683	7,700,000	1.94	1.8	3.36	2.67	1.94	https://wingstop.com/location/wingstop-1215-chicago-il-60607/menu	null	null	2026-04-06T09:05:24.018986+00:00	32.61	77.42	0	735.47	4.4	22.3402	2.71	6.6	100	6	0.6019	0.2813	0.5397	0.5372	0.5434	0.2076	0.9602	0.9337	77	77.2	76.47	23.53	0	88.89	9.26	1.85	89.09	9.09	1.82	90.16	8.2	1.64	declining	stable	-0.2584	-0.2	-0.0037	-0.3	17	54	55	61	96.4	254.1	-5.6	57.2	56.7	96	100	79.3	100	338	4,597	458	769	14,118	978	16,005	409,140	20,042	16,770	338	564,138	84	158,721	162,434	184	22,721	321,369	174	239,494	65	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.4928	0.1125	0.621	0.1688	-0.0813	0.423	0.1065	0.1412	0.1748	0.3985	0.7357	0.1645	0.6197	0.1168	-0.08	173	83	183	564,138	514,535	158,721	0.2398	0.3032	0.787	0.3887	0.2076	37.7	0.45	798	12.5	0.3919	19.5	-0.12	495	-6.5	0.21	162,434	418,414	22,721	0.78	0.4423	0.97	0.3418	0.9602	51.3	0.72	2,486	10.1	0.7575	5.9	-0.39	-1,193	-4.1	-0.1556	321,369	586,587	239,494	0.563	Average	0.211	0.6808	0.1911	0.9337	Strong	50.2	0.47	1,407	7.4	Average	0.7575	7	-0.14	-114	-1.4	-0.1556	84	184	174	636	47	competitive	0.0191	26.42	57.8	37.3	4.8	2,756	1,121	competitive	0.0028	2.33	1.1	88	10.9	7,617	5,035	competitive	0.0053	0.55	1.7	90.8	7.5	0.1447	0.6586	0.1366	-0.1189	189	190	469	4,968	661	0.9529	0.4932	0.9346	0.3975	0.6075	52.5	0.82	2,166	12.6	0.7763	4.7	-0.49	-873	-6.6	-0.1744	competitive	0.0031	0.31	0.5	84.1	15.3	0.8095	1.93	0.36	0.1868	0.6635	0.0945	-0.1238	196	197	3,961	18,816	1,853	0.8692	0.3847	0.9396	0.389	0.6213	58.6	1.72	2,396	25.2	0.7636	-1.4	-1.39	-1,103	-19.2	-0.1617	competitive	0.0027	0.0013	0.68	0.09	0.745	0.059	0.2307	0.2223	0.309	791,801	41.1	0.94	531	20.4	0.4595	16.1	-0.61	762	0.1424	0.8813	0.5373	0.89	0.5448	0.5956	93,007	0.7807	-14.4	363,824	86,996	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	27.3	0.47	850	0.1535	0.9892	0.4991	0.9631	0.7235	0.6076	90	60.22	25.32	0.6366	8,450	0.69	14,531	4,521	0.1491	1,490.82	0.15	65,370	85	0.0367	366.52	3.67	119.05	0.08	54.35	0.28	57.47	0.1	52.63	0.08	50.76	-26.8	-3.96	78	-75.2	-4.5	null	null	null	null	null	0.16	-49,271	0.075	0.42	564,138	0.24	-0.25	149,316	-0.201	0.74	162,434	0.78	-0.43	282,693	-0.381	0.49	321,369	0.563	0	48	-0.004	0.81	469	0.953	-0.08	2,879	-0.093	0.75	3,961	0.869	0.6019	76.47	23.53	1,239	0.6	18	0.973	0.977	stable	0.6	4.2	18	18	54	147	0.991	0.991	0.991	0.973	0.977	7,883	8,195	8,205	3	7	stable	-0.2	null	84.73
2QKUULEF	Sunset Phở Caffe	Food and Drink	Restaurants	Vietnamese restaurant	"Vietnamese restaurant, Asian fusion restaurant, Asian restaurant, Cocktail bar, Noodle shop, Pho re(...TRUNCATED)	2856 N Clark St, Chicago, IL 60657	2856 N Clark St	Chicago	Illinois	Lake View	Lake View East	60,657	US	true	41.934256	-87.646367	America/Chicago	(773) 27-***	1	null	true	true	null	true	Chicago	Illinois	US	https	https://sunsetphocaffe.com	sunsetphocaffe.com	sunsetphocaffe.com	com	4,179	2014-10-28	2026-10-28	Register.com - Network Solutions, LLC	purchase_dataset@gmail.com, purchase_dataset@owner.com	null	2	1	1	Vietnamese pho is the specialty at this casual eatery & bar with a convivial vibe.	true	true	0.22	932	{"1": 10, "2": 7, "3": 23, "4": 67, "5": 827}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Serves local specialty, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Healthy options, La(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs	true	true	purchase_dataset@	true	true	3	null	null	null	null	null	null	null	null	null	https://www.instagram.com/sunsetphocaffe	sunsetphocaffe	https://www.facebook.com/sunsetphocaffe	sunsetphocaffe	https://twitter.com/sunsetpho	sunsetpho	null	null	null	null	null	null	null	null	null	null	null	null	150	0	null	null	null	null	0	null	null	null	null	null	null	null	null	https://sunsetphocaffe.com/menu	null	null	2026-04-06T08:01:23.906989+00:00	0.01	25	0.7	1,505.76	11.9	42.2473	1.92	4.4	99	4.5	0.8995	0.9402	0.8255	0.7993	0.8063	0.9571	0.9665	0.9223	91.3	90.3	100	0	0	95.65	4.35	0	92.86	3.57	3.57	93.1	3.45	3.45	improving	stable	0.1147	1	0.0192	1.1	7	23	28	29	64.3	217.2	-8.7	50.6	52.2	24	100	92.8	100	1,287	3,165	1,751	3,879	9,410	5,065	107,940	266,663	149,320	116,824	1,287	210,005	151	210,732	194,655	179	43,630	260,795	186	79,218	88	9,231	17,991	27,535	53,426	733,669	1,458,104	733,669	0.657	0.1332	0.5982	0.807	0.2273	0.552	0.1116	0.5005	0.8286	0.325	0.6647	0.1276	0.6103	0.8126	0.2152	185	150	178	210,005	612,789	210,732	0.7133	0.1717	0.7171	0.0768	0.9571	44.8	0.29	706	4.7	0.7045	5.8	-0.07	226	-0.2	0.195	194,655	531,559	43,630	0.7369	0.2908	0.9424	0.2207	0.9665	50.6	0.52	2,060	7.8	0.7655	0	-0.3	-1,128	-3.3	0.134	260,795	419,584	79,218	0.645	Average	0.4356	0.8944	0.3246	0.9223	Strong	51.1	0.75	2,016	9.9	Strong	0.7483	-0.5	-0.53	-1,084	-5.4	0.1512	151	179	186	607	21	competitive	0.0087	47.75	22	76.7	1.3	3,623	1,004	competitive	0.0025	2.27	0.6	91	8.4	6,521	5,003	competitive	0.0025	0.59	1.1	88.1	10.8	0.1454	0.6578	0.7948	0.1677	190	191	1,420	6,312	969	0.8566	0.3722	0.904	0.3834	0.9671	52.6	0.81	2,177	12.6	0.7754	-2	-0.59	-1,245	-8.1	0.1241	competitive	0.0022	0.31	0.5	84.2	15.3	0.7255	1.92	0.36	0.1875	0.6622	0.7527	0.1633	196	197	8,265	19,419	3,302	0.7276	0.3633	0.8921	0.3762	0.9759	58.5	1.7	2,395	25	0.762	-7.9	-1.48	-1,463	-20.5	0.1375	competitive	0.002	0.0013	0.68	0.09	0.6677	0.059	0.2307	0.8812	0.5948	791,801	41.1	0.94	531	20.4	0.4595	9.5	-0.72	401	0.44	0.7729	0.496	0.8269	0.5218	0.9603	177,966	0.706	-15.9	394,914	136,848	44.5	8.8	46.7	791,802	8,450	50.2	4.11	389	11.7	0.4719	19.3	0.7	555	0.4013	0.894	0.5959	0.8638	0.6761	0.9314	870	60.22	33.28	0.8886	8,450	0.69	14,455	4,521	0.1506	1,505.76	0.15	65,370	85	0.0366	366.35	0.76	66.23	0.06	55.87	0.06	53.76	0.05	52.36	0.04	50.76	-31.4	-4.59	-4	-91.1	-6.1	null	null	null	null	null	-0.4	194,686	-0.265	0.55	210,004	0.713	-0.31	178,958	-0.241	0.66	194,654	0.737	-0.3	222,119	-0.299	0.66	260,794	0.645	-0.15	615	-0.062	0.73	1,420	0.857	-0.22	6,012	-0.195	0.67	8,265	0.728	0.8995	100	0	944	0.3	9	0.889	0.949	stable	0.3	2.1	9	9	23	102	0.972	0.973	0.973	0.889	0.949	22,095	23,052	23,081	6	6	stable	-0.17	null	96.38

End of preview. Expand in Data Studio

Top 300 Active Restaurant Whales with Email in Chicago, Illinois, 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.

The dataset Top 300 Active Restaurant Whales with Email in Chicago, Illinois, US contains 300 records of Chicago‑based restaurants that meet these criteria. Updated weekly, it provides a reliable source for sales and marketing teams seeking to engage high‑traffic dining establishments for payment processing solutions, POS upgrades, or supply chain partnerships. Each entry includes verified email contacts, enabling direct outreach to decision‑makers at venues that consistently demonstrate strong customer volume and review activity. Professionals in fintech, hospitality technology, or B2B foodservice sales can leverage this list to prioritize prospects with proven market momentum, improving conversion rates and reducing prospecting effort. Access the dataset via the provided URL for the latest weekly refresh.

Dataset Details

Field	Value
Full dataset	300 records
Sample size	30 records
Location	Chicago
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (498 total)

Column List

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/top-300-active-restaurant-whales-with-email-in-chicago-illinois-us-610865")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 300 records and unmasked contact data is available at:

Top 300 Active Restaurant Whales with Email in Chicago, Illinois, US on BeamStation

License

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

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