Datasets:

beamstation
/

top-50-restaurant-category-dominators-in-wisconsin-us-455874

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 float64	neighborhood float64	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 int64	last_social_post_days int64	social_post_count int64	first_social_post_days_min int64	first_social_post_days_max int64	last_social_post_days_min int64	last_social_post_days_max int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github string	social_username_github string	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers int64	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 int64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_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
QB45EH87	Culver's	Food and Drink	Restaurants	American restaurant	American restaurant, Dessert restaurant, Fast food restaurant, Hamburger restaurant, Ice cream shop, Restaurant, Sandwich shop	1325 E Capitol Dr, Shorewood, WI 53211	1325 E Capitol Dr	Milwaukee	Wisconsin	null	null	53,211	US	true	43.088662	-87.893919	America/Chicago	(414) 96-***	2	null	true	true	null	true	Milwaukee	Wisconsin	US	http	http://culvers.com/restaurants/shorewood	culvers.com/restaurants/shorewood	culvers.com	com	10,859	1996-07-11	2027-07-10	Ascio Technologies, Inc	purchase_dataset@culvers.com, purchase_dataset@wgiftcard.com, purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@culvers.com, purchase_dataset@culvers.com, purchase_dataset@culvers.com, purchase_dataset@culvers.com	realdomain	8	7	1	Fast-food chain specializing in frozen custard & signature burgers made with Midwest beef & dairy.	true	true	4.4	2,123	{"1": 116, "2": 72, "3": 249, "4": 784, "5": 2201}	Outdoor seating, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Fast service, Great dessert, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Beer, Coffee, Comfort food, Quick bite	Lunch, Dinner, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual	College students, Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Good for kids birthday, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	7	2025-09-12	2026-02-18	208	49	92	208	208	49	49	https://www.instagram.com/culvers	culvers	https://www.facebook.com/culvers	culvers	https://twitter.com/culvers	culvers	https://www.tiktok.com/@culversrestaurants	culversrestaurants	https://www.linkedin.com/company/culversrestaurants	culversrestaurants	https://www.youtube.com/user/culversrestaurants	culversrestaurants	null	null	null	null	https://www.pinterest.com/ritacavendish	ritacavendish	204,480	0.56	null	0.64	0.56	0.56	2,177	147,500	840	2,200,000	6.59	null	9.24	6.92	6.59	https://culversmenu.com	null	null	2026-04-07T09:20:58.003160+00:00	35.43	0.99	3,286.25	14.3	43.8749	3.39	88	100	86.5	0.6652	null	-0.0416	0.5923	0.5698	0.3763	0.7969	0.8059	47.9	78.5	null	null	null	50	50	0	90	7.14	2.86	88.73	8.45	2.82	stable	declining	null	-30.6	-0.6114	-39	6	70	71	-82.9	-66.2	-100	78.6	27.4	100	100	59.6	100	7	1,500	8	24	10,535	26	3,845	630,471	4,730	3,958	7	246,006	19	340,894	149,777	101	314,584	81,603	101	158,783	23	1,564	3,151	10,768	22,299	734,279	1,460,619	734,279	0.8498	0.1626	0.5512	-0.1626	-0.5928	0.6401	-0.0093	0.2246	0.0093	-0.2662	0.6937	0.0685	0.394	-0.0685	-0.4356	100	18	100	246,006	217,306	340,894	0.6645	0.7051	0.5426	0.5744	0.3763	44	1.15	540	17.6	0.4497	0.6	-0.98	2,878	-15.5	0.2155	149,777	251,545	314,584	0.7973	0.6645	0.5847	0.6486	0.7969	51.6	1.17	966	19.8	0.6599	-7	-1	2,452	-17.7	0.0053	81,603	103,896	158,783	0.8887	Average	0.8592	0.7883	0.76	0.8059	Strong	56.7	1.88	1,641	24.8	Market Leader	0.7053	-12.1	-1.71	1,777	-22.7	-0.0401	19	101	101	762	507	competitive	0.2601	5.73	33.3	55.6	11.1	3,403	1,023	competitive	0.0342	1.27	9	66	25	7,096	5,028	competitive	0.0204	0.32	2	52	46	0.1435	0.5693	-0.1435	-0.6109	100	101	736	1,258	19	0.59	0.2922	0.99	0.2611	0.6956	58.2	2.18	1,780	27.7	0.7277	-13.6	-2.01	1,638	-25.6	-0.0625	competitive	0.0188	0.4	1	44	55	0.6207	3.45	1.01	0.1708	0.6412	-0.1708	-0.6828	100	101	5,373	6,987	85	0.5387	0.4002	0.9928	0.37	0.6372	57.8	1.81	1,777	27.1	0.7976	-13.2	-1.64	1,641	-25	-0.1324	competitive	0.0189	0.0006	1.09	0.1	0.6334	0.059	0.2307	-0.059	-0.2723	791,801	41.1	0.94	531	20.4	0.4595	3.5	-0.77	2,887	0.2057	0.6046	0.4574	0.9844	0.3942	0.6821	310,542	0.6744	-18.3	421,576	12,361	44.5	8.8	46.7	791,802	1,391	51.3	4.01	374	25.4	0.4293	15	0.44	1,749	0.2398	0.7942	0.4942	0.9957	0.4036	0.6813	285	57.61	28.01	0.6993	1,391	1.73	5,772	2,302	0.3083	3,083.08	0.17	58,937	35	0.0301	301.46	676.32	526.32	11.68	99.01	4.17	99.01	3.55	99.01	3.56	99.01	-37.2	-4.23	1,295	-84.4	-7.7	null	null	null	null	null	0.02	27,311	-0.033	0.64	246,005	0.665	0.02	-63,080	0.089	0.69	149,768	0.797	0.12	-104,925	0.151	0.85	81,570	0.889	-0.21	616	-0.34	0.62	736	0.59	-0.2	4,523	-0.384	0.63	5,373	0.539	0.6652	null	null	2,123	0.03	1	0.442	0.392	decelerating	0.03	0.23	1	1	7	117	0.507	0.515	0.517	0.442	0.392	253,363	266,224	265,236	15	209	decelerating	-0.04	null	86.81
2JXJPCZM	Chick-fil-A	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant, Breakfast restaurant, Caterer, Chicken restaurant, Delivery service, Family restaurant	5315 Washington Ave, Mt Pleasant, WI 53406	5315 Washington Ave	Racine	Wisconsin	null	null	53,406	US	true	42.718344	-87.843779	America/Chicago	(262) 63-***	1	null	true	true	null	true	Racine	Wisconsin	US	https	https://chick-fil-a.com/locations/wi/racine	chick-fil-a.com/locations/wi/racine	chick-fil-a.com	com	11,119	1995-10-25	2026-10-24	CSC Corporate Domains, Inc.	purchase_dataset@chick-fil-a.com, purchase_dataset@chick-fil-a.com, purchase_dataset@chick-fil-a.com, purchase_dataset@chick-fil-a.com, purchase_dataset@chick-fil-a.com, purchase_dataset@chick-fil-a.com, purchase_dataset@chick-fil-a.com, purchase_dataset@chick-fil-a.com, purchase_dataset@chick-fil-a.com, purchase_datas...	realdomain	20	18	2	Fast-food chain serving chicken sandwiches & nuggets along with salads & sides.	true	true	4.44	1,782	{"1": 115, "2": 64, "3": 154, "4": 438, "5": 1900}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Active military discounts, Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Coffee, Healthy options, Quick bite	Breakfast, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom, Wi-Fi	Casual	Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Good for kids birthday, Has changing table(s), High chairs, Kids' menu, Playground	true	true	purchase_dataset@	true	true	7	2025-09-25	2026-03-26	195	13	36	195	195	13	13	https://www.instagram.com/chickfila	chickfila	https://www.facebook.com/cfatimessquare	cfatimessquare	https://twitter.com/chickfila	chickfila	null	null	https://www.linkedin.com/company/chick-fil-a-restaurants	chick-fil-a-restaurants	https://www.youtube.com/user/chickfila	chickfila	https://github.com/chick-fil-a	chick-fil-a	null	null	https://www.pinterest.com/chickfila	chickfila	2,099,109	0.4	0.17	0.35	0.42	0.4	1,757	null	null	null	null	null	null	null	null	https://chick-fil-a.com/locations/wi/racine/menu	null	null	2026-04-07T04:14:42.384963+00:00	2,698.08	0.21	9,371.15	138.1	52.6316	0.42	88.8	100	86	0.69	null	0.2722	0.7253	0.7253	0.1071	0.2435	0.1973	63.6	86.3	null	null	null	60	30	10	90.91	7.27	1.82	90.91	7.27	1.82	stable	declining	null	-22.7	-0.4531	-26.3	10	55	55	-63.6	-27.3	-100	74.9	9.5	72	100	70.8	100	1	226	1	48	9,746	50	6,057	583,755	7,403	6,207	1	314,902	33	375,308	275,132	107	462,229	568,615	103	645,362	18	296	648	10,768	22,299	734,279	1,460,619	734,279	0.3684	0.0115	0.2516	-0.0115	0.0206	0.5828	0.0313	0.1467	-0.0313	0.1255	0.6303	0.0179	0.2275	-0.0179	0.0447	102	32	106	314,902	232,949	375,308	0.5715	0.684	0.4966	0.7057	0.1071	42.6	1.1	503	22.3	0.3367	2.7	-0.92	2,168	-20	0.3533	275,132	96,690	462,229	0.6307	0.87	0.39	0.8716	0.2435	49	1.83	720	30.3	0.4876	-3.7	-1.65	1,951	-28	0.2024	568,615	172,783	645,362	0.2401	Average	0.7671	0.1408	0.8357	0.1973	Average	45.1	1.54	435	28.4	Below Average	0.5035	0.2	-1.36	2,236	-26.1	0.1865	33	107	103	419	97	competitive	0.1424	10.19	43.8	46.9	9.4	3,145	1,034	competitive	0.0338	1.35	22.6	57.5	19.8	6,759	5,006	competitive	0.0568	0.32	32.4	53.9	13.7	0.0248	0.2815	-0.0248	-0.0093	118	119	108	197	3	0.6459	0.3541	0.9934	0.3377	0.823	51.9	1.8	843	28.7	0.5084	-6.6	-1.62	1,828	-26.4	0.1816	competitive	0.0261	2.91	15.3	55.1	29.7	0.6626	0.39	7.87	0.1551	0.6212	-0.1551	-0.349	196	197	6,313	10,472	139	0.4587	0.105	0.9882	0.1015	0.7872	61.3	2.42	1,451	36.1	0.7236	-16	-2.24	1,220	-33.8	-0.0336	competitive	0.0093	0.0012	0.56	0.2	0.5114	0.059	0.2307	-0.059	0.0415	791,801	41.1	0.94	531	20.4	0.4595	4.2	-0.76	2,140	0.2305	0.6262	0.4676	0.972	0.4173	0.7189	293,554	0.6823	-18.1	414,939	22,193	44.5	8.8	46.7	791,802	257	52.6	4.02	398	28.5	0.4538	14.6	0.57	1,384	0.2412	0.8164	0.6211	1	0.3438	0.7734	48	62.6	25.5	0.75	257	15.16	659	1,919	1.2785	12,784.52	0.33	30,070	35	0.0482	482.39	202.65	303.03	11.44	93.46	32.28	97.09	6.84	84.03	0.87	50.76	-34.4	-4.26	891	-83.7	-32.7	null	null	null	null	null	0.27	-227,720	0.312	0.58	314,902	0.572	0.28	-213,156	0.287	0.63	275,132	0.631	0.22	-67,138	0.099	0.37	568,615	0.24	-0.18	73	-0.239	0.66	108	0.646	-0.31	4,752	-0.403	0.51	6,313	0.459	0.69	null	null	1,782	0	0	0	0	decelerating	0.13	0.93	4	4	61	99	0.648	0.66	0.66	0.387	0.524	264,626	275,746	274,862	13	313	decelerating	-0.1	null	87.6
J9WLZK39	Outback Steakhouse	Food and Drink	Restaurants	Steak house	Steak house, American restaurant, Australian restaurant, Bar, Bar & grill, Gluten-free restaurant, Takeout Restaurant, Restaurant	295 S Moorland Rd, Brookfield, WI 53005	295 S Moorland Rd	Brookfield	Wisconsin	null	null	53,005	US	true	43.028917	-88.10753	America/Chicago	(262) 79-***	2	OPERATIONAL	true	true	null	true	Brookfield	Wisconsin	US	https	https://locations.outback.com/wisconsin/brookfield/295-s-moorland-road	locations.outback.com/wisconsin/brookfield/295-s-moorland-road	locations.outback.com	com	10,529	1997-06-09	2026-12-19	MarkMonitor, Inc.	null	null	0	0	0	Boisterous Australian-themed chain serving steaks, seafood & other hearty steakhouse fare.	true	true	4.27	2,842	{"1": 205, "2": 157, "3": 285, "4": 693, "5": 2087}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Braille menu, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Late-night food, Organic dishes, Small plates, Wine	Lunch, Dinner, Catering, Dessert, Seating	Bar onsite, Gender-neutral restroom, Restroom	Casual, Cozy, Trendy	Family-friendly, Groups, Tourists	Accepts reservations	Checks, Debit cards	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-01-06	2026-01-22	457	76	24	457	457	76	76	https://www.instagram.com/outback	outback	https://www.facebook.com/outbacksteakhouse.secaucus.nj.3155	outbacksteakhouse.secaucus.nj.3155	https://twitter.com/outback	outback	null	null	https://www.linkedin.com/company/outback-steakhouse	outback-steakhouse	null	null	null	null	null	null	null	null	477,709	0.78	null	0.52	0.43	0.43	1,933	null	null	null	null	null	null	null	null	https://outback.com/menu/brookfield	null	null	2026-04-06T22:59:44.680569+00:00	1,151.11	0	25,871.67	317.5	174.7405	0.24	85.4	100	81.3	0.6049	null	0.3368	0.476	0.4859	0.1117	0.3515	0.577	66.8	74.3	null	null	null	68.42	31.58	0	86.54	13.46	0	86.79	13.21	0	stable	declining	null	-7.5	-0.1491	-10.1	19	52	53	-26.9	43.4	-100	70.8	9.5	60	83	71.9	100	1	194	1	7	12,760	9	1,582	773,206	1,991	1,644	1	274,904	39	244,545	215,086	101	382,128	47,986	101	186,331	31	169	384	10,768	22,299	734,279	1,460,619	734,279	0.8848	0.0474	0.4492	-0.0474	-0.1124	0.6583	0.007	0.1287	-0.007	0.2081	0.6934	0.0752	0.2834	-0.0752	0.0534	100	38	100	274,904	229,763	244,545	0.6256	0.6883	0.6718	0.693	0.1117	43.4	1.11	657	21.8	0.3402	-5.6	-1.01	2,757	-20.2	0.2647	215,086	96,690	382,128	0.7094	0.87	0.4956	0.8381	0.3515	50.2	1.83	849	28.4	0.5213	-12.4	-1.73	2,565	-26.8	0.0836	47,986	35,318	186,331	0.9343	Strong	0.9518	0.7516	0.9144	0.577	Strong	58.6	2.41	1,552	33.4	Market Leader	0.6423	-20.8	-2.31	1,862	-31.8	-0.0374	39	101	101	514	96	competitive	0.1202	12.1	42.1	42.1	15.8	3,150	1,095	competitive	0.0387	1.27	20	57	23	7,694	5,044	competitive	0.0215	0.32	2	39	59	0.0353	0.2876	-0.0353	0.0492	100	101	119	145	6	0.3371	0.1854	0.9719	0.191	0.618	52.9	1.75	1,064	26.9	0.5531	-15.1	-1.65	2,350	-25.3	0.0518	competitive	0.0311	1.39	11	57	32	0.482	0.25	12.76	0.1708	0.6447	-0.1708	-0.3079	100	101	7,617	8,089	87	0.3476	0.2919	0.9927	0.299	0.5615	57.9	1.85	1,784	27.5	0.7945	-20.1	-1.75	1,630	-25.9	-0.1896	competitive	0.0188	0.0006	1.09	0.1	0.5244	0.059	0.2307	-0.059	0.1061	791,801	41.1	0.94	531	20.4	0.4595	-3.3	-0.84	2,883	0.1454	0.407	0.326	0.9843	0.3214	0.5994	467,470	0.5559	-18.8	512,321	12,397	44.5	8.8	46.7	791,802	147	55.7	4.03	541	29.9	0.4203	5	0.43	2,301	0.1745	0.5137	0.5548	1	0.2466	0.5959	71	55.35	28.33	0.637	147	24.12	415	578	2.5671	25,671.43	0.17	58,937	35	0.0303	302.71	144.57	256.41	14.94	99.01	4.63	99.01	9.66	99.01	3.53	99.01	-40.1	-4.17	572	-79.7	-48.2	null	null	null	null	null	0.33	-255,841	0.351	0.66	274,894	0.626	0.34	-294,350	0.394	0.69	215,063	0.709	0.27	-245,433	0.339	0.88	47,887	0.934	-0.26	70	-0.392	0.48	119	0.337	-0.23	5,546	-0.47	0.52	7,617	0.348	0.6049	null	null	2,842	0	0	0	0	decelerating	0.3	2.1	9	9	61	135	0.873	0.878	0.878	0.5	0.649	101,285	105,220	105,139	2	38	decelerating	-0.27	null	83.74
XHY3UAKE	Texas Roadhouse	Food and Drink	Restaurants	Steak house	Steak house, American restaurant, Restaurant	4304 Gander Rd, Sheboygan, WI 53083	4304 Gander Rd	Sheboygan	Wisconsin	null	null	53,083	US	true	43.791661	-87.762971	America/Chicago	(920) 45-***	2	null	true	true	null	true	Sheboygan	Wisconsin	US	https	https://texasroadhouse.com/locations/wisconsin/sheboygan	texasroadhouse.com/locations/wisconsin/sheboygan	texasroadhouse.com	com	10,499	1997-07-09	2026-07-08	NOM-IQ Ltd dba Com Laude	purchase_dataset@texasroadhouse.com, purchase_dataset@texasroadhouse.com, purchase_dataset@texasroadhouse.com, purchase_dataset@texasroadhouse.com, purchase_dataset@texasroadhouse.com, purchase_dataset@texasroadhouse.com, purchase_dataset@texasroadhouse.com, purchase_dataset@texasroadhouse.com, purchase_dataset@texasro...	realdomain	34	34	0	Lively chain steakhouse serving American fare with a Southwestern spin amid Texas-themed decor.	true	true	4.22	2,051	{"1": 158, "2": 94, "3": 201, "4": 667, "5": 1561}	Curbside pickup, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Late-night food, Small plates, Wine	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2025-10-16	2026-03-26	174	13	36	174	174	13	13	https://www.instagram.com/texasroadhouse	texasroadhouse	https://www.facebook.com/texasroadhouse	texasroadhouse	https://twitter.com/texasroadhouse	texasroadhouse	null	null	https://www.linkedin.com/company/texas-roadhouse	texas-roadhouse	null	null	null	null	null	null	https://www.pinterest.com/texasroadhouse	texasroadhouse	284,229	0.59	0.93	0.61	0.59	0.59	1,317	null	null	null	null	null	null	null	null	https://togo.texasroadhouse.com/location/382-sheboyganwi/digital-menu	https://togo.texasroadhouse.com/location/382-sheboyganwi/detail/action/waitlist	https://togo.texasroadhouse.com/location/382-sheboyganwi/detail/action/waitlist	2026-04-06T20:09:32.955676+00:00	569.6	0.1	13,224.64	200.7	85.8844	0.29	84.4	100	81.1	0.5786	null	0.1776	0.4521	0.4521	0.1821	0.2749	0.3917	58.9	72.6	null	null	null	60	40	0	84.21	15.79	0	84.21	15.79	0	stable	declining	null	-13.7	-0.2745	-18.9	20	57	57	-29.8	40.4	-100	74.8	27.4	68	100	66.1	98	1	285	1	27	13,462	29	4,224	821,802	5,178	4,344	1	39,614	9	338,069	559,679	48	658,595	392,621	101	618,388	37	181	421	10,768	22,299	734,279	1,460,619	734,279	0.4786	0.0461	0.3082	-0.0461	-0.1306	0.8111	0.0147	-0.0101	-0.0147	0.1877	0.376	0.0002	0.1566	-0.0002	0.021	100	8	47	39,614	75,027	338,069	0.945	0.8973	0.5464	0.8602	0.1821	50.9	1.73	543	29.6	0.3807	-8.8	-1.6	2,128	-27.7	0.1979	559,679	165,523	658,595	0.2574	0.7788	0.1314	0.8632	0.2749	43.3	1.51	400	29.8	0.4978	-1.2	-1.38	2,271	-27.9	0.0808	392,621	152,897	618,388	0.4687	Market Leader	0.7937	0.1767	0.8565	0.3917	Below Average	49.2	1.63	510	29.6	Average	0.5831	-7.1	-1.5	2,161	-27.7	-0.0045	9	48	101	364	113	moderate	0.3806	2.55	0	87.5	12.5	4,034	2,807	competitive	0.1245	0.6	38.3	48.9	12.8	6,944	5,091	competitive	0.0497	0.32	13	75	12	0.0466	0.3	-0.0466	-0.1224	100	101	122	152	2	0.393	0.2289	0.995	0.209	0.4478	50.4	1.55	656	27.6	0.6018	-8.3	-1.42	2,015	-25.7	-0.0232	competitive	0.0391	2.36	10	77	13	0.5244	0.3	10.09	0.1708	0.6412	-0.1708	-0.4636	100	101	6,211	7,182	197	0.467	0.381	0.9833	0.3566	0.5254	57.8	1.81	1,777	27.1	0.7976	-15.7	-1.68	894	-25.2	-0.219	competitive	0.0148	0.0006	1.09	0.1	0.5961	0.059	0.2307	-0.059	-0.0531	791,801	41.1	0.94	531	20.4	0.4595	1	-0.81	2,140	0.1191	0.5274	0.3979	0.972	0.3674	0.5665	371,870	0.6219	-18.5	461,663	22,193	44.5	8.8	46.7	791,802	155	55.7	4.19	397	29.8	0.5346	6.3	-0.03	1,654	0.0401	0.5844	0.3182	1	0.2403	0.4351	64	67.78	15.3	0.474	155	20.03	499	1,176	1.3147	13,147.07	0.17	58,937	35	0.0301	301.46	1,448.51	1,111.11	154.94	208.33	24.72	99.01	15.29	99.01	2.19	99.01	-37.3	-4.09	620	-79.2	-30.9	null	null	null	null	null	0.44	-432,999	0.593	0.81	39,612	0.945	0.26	-123,596	0.172	0.38	559,676	0.257	0.2	-168,725	0.228	0.48	392,613	0.469	-0.22	94	-0.473	0.52	122	0.393	-0.17	4,590	-0.389	0.6	6,211	0.467	0.5786	null	null	2,051	0.03	1	0	0.262	decelerating	0.03	0.23	1	1	21	130	0.507	0.515	0.517	0	0.262	253,363	266,224	265,236	2	54	decelerating	-0.14	null	82.94
GJ62B29H	The Cheesecake Factory	Food and Drink	Restaurants	Restaurant	Restaurant, American restaurant, Bakery, Dessert restaurant, Dessert shop, Family restaurant, Takeout Restaurant	5799 N Bayshore Dr #L100, Glendale, WI 53217	5799 N Bayshore Dr #L100	Glendale	Wisconsin	null	null	53,217	US	true	43.122811	-87.914748	America/Chicago	(414) 90-***	2	OPERATIONAL	true	true	null	true	Glendale	Wisconsin	US	https	https://locations.thecheesecakefactory.com/wi/glendale-119.html	locations.thecheesecakefactory.com/wi/glendale-119.html	locations.thecheesecakefactory.com	com	10,818	1996-08-24	2026-08-23	GoDaddy.com, LLC	purchase_dataset@thecheesecakefactory.com, purchase_dataset@thecheesecakefactory.com	null	2	0	2	American chain restaurant offering sizable portions from a vast menu including signature cheesecake	true	true	4.13	2,147	{"1": 189, "2": 130, "3": 242, "4": 620, "5": 1575}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great tea selection, Great wine list	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Healthy options, Late-night food, Organic dishes, Small plates, Vegan options, Vegetarian options, Wine	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy	College students, Family-friendly, Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2023-06-01	2026-03-25	1,042	14	36	1,042	1,042	14	14	https://www.instagram.com/cheesecakefactory	cheesecakefactory	https://www.facebook.com/thecheesecakefactory	thecheesecakefactory	https://twitter.com/cheesecake	cheesecake	null	null	https://www.linkedin.com/company/lifeatcheesecake	lifeatcheesecake	null	null	null	null	null	null	null	null	1,125,439	0.17	0.13	0.14	0.16	0.16	3,731	null	null	null	null	null	null	null	null	https://thecheesecakefactory.com/locations/glendale-wi/menu	https://thecheesecakefactory.com/locations?launchreservationsflyout=true&id=glendale-wi	https://thecheesecakefactory.com/locations?launchreservationsflyout=true&id=glendale-wi	2026-04-06T16:54:52.074200+00:00	5,801.23	0	28,928.33	551.5	80.9249	0.11	82.6	100	78.2	0.5434	null	0.1693	0.6713	0.6713	0.0817	0.13	0.8368	58.5	83.6	null	null	null	58.33	33.33	8.33	86.67	10	3.33	86.67	10	3.33	stable	declining	null	-25.1	-0.502	-30	12	60	60	-60	-20	-100	69.2	9.5	48	100	65.3	98	1	82	1	23	14,515	25	3,742	901,232	4,611	3,853	1	396,762	35	262,367	624,964	101	593,343	121,782	101	213,174	43	66	124	10,768	22,299	734,279	1,460,619	734,279	0.7743	0.1298	0.4502	-0.1298	-0.1785	0.504	0.0069	0.2252	-0.0069	0.0465	0.2807	0.0349	0.1817	-0.0349	0.09	100	34	100	396,762	430,875	262,367	0.4618	0.4165	0.648	0.3807	0.0817	41.1	0.6	633	12.3	0.3142	1.4	-0.46	2,109	-10.1	0.2292	624,964	383,966	593,343	0.1725	0.4884	0.2172	0.4845	0.13	41.4	0.8	511	13.9	0.4401	1.1	-0.66	2,231	-11.7	0.1033	121,782	183,866	213,174	0.8346	Average	0.7523	0.7159	0.6958	0.8368	Below Average	54.8	1.49	1,474	21.8	Strong	0.7137	-12.3	-1.35	1,268	-19.6	-0.1703	35	101	101	458	128	competitive	0.1131	10.82	44.1	52.9	2.9	3,453	1,002	competitive	0.0509	1.27	44	51	5	8,407	5,137	competitive	0.0183	0.32	2	62	36	0.0181	0.2455	-0.0181	0.0262	69	70	36	34	2	0.52	0.5467	0.9867	0.56	0.5867	43	0.71	559	15	0.3897	-0.5	-0.57	2,183	-12.8	0.1537	competitive	0.0664	4.47	39.1	55.1	5.8	0.668	0.12	22.21	0.1708	0.6455	-0.1708	-0.3738	100	101	6,042	7,182	181	0.4816	0.381	0.9846	0.376	0.4917	57.7	1.82	1,782	27.1	0.7932	-15.2	-1.68	960	-24.9	-0.2498	competitive	0.0152	0.0006	1.09	0.1	0.6023	0.059	0.2307	-0.059	0.041	791,801	41.1	0.94	531	20.4	0.4595	1.4	-0.8	2,211	0.0839	0.5395	0.4169	0.9735	0.4061	0.5256	362,212	0.6329	-18.2	449,046	20,940	44.5	8.8	46.7	791,802	54	56.9	4.06	411	17.1	0.4227	5	0.5	1,736	0.1278	0.6226	0.7358	1	0.5094	0.5849	20	59.02	22.57	0.5849	54	51.66	194	865	2.8879	28,879.24	0.17	58,937	35	0.0302	302.35	127.88	285.71	25.93	99.01	3.33	99.01	44.05	142.86	2.3	99.01	-34.5	-3.99	595	-76	-47.9	null	null	null	null	null	0.16	-108,440	0.153	0.5	396,760	0.462	0.12	-30,828	0.052	0.28	624,960	0.173	0.06	-72,458	0.107	0.77	121,738	0.835	-0.11	21	-0.293	0.67	36	0.52	-0.12	3,587	-0.303	0.6	6,042	0.482	0.5434	null	null	2,147	0	0	0	0	decelerating	0.37	2.57	11	11	66	169	0.908	0.911	0.911	0.845	0.891	75,655	78,604	78,576	30	141	decelerating	-0.1	null	81.23

Top 50 Restaurant Category Dominators in Wisconsin, US

Free sample dataset from BeamStation

Defensible Leaders Top 50 ranked high-volume restaurants.

Each venue with massive review volume. The safest bets.

Uses State Rank to find the absolute biggest players.

This dataset lists the fifty highest‑volume restaurants in Wisconsin, updated every week. Every entry represents a venue that has accumulated a large number of reviews, signalling strong customer traffic and established reputation. The ranking uses the state‑level metric to pinpoint the absolute biggest players in the market. Analysts, market researchers, and food‑service professionals can use the list to identify dominant competitors, benchmark performance, or explore partnership opportunities. Because the data are refreshed weekly, users receive a current view of which establishments continue to draw the most attention across the state. The dataset is ideal for anyone needing a reliable snapshot of Wisconsin’s top‑traffic restaurant landscape without relying on external estimates.

Dataset Details

Field	Value
Full dataset	50 records
Sample size	5 records
Location	Wisconsin
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-50-restaurant-category-dominators-in-wisconsin-us-455874")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 50 records and unmasked contact data is available at:

Top 50 Restaurant Category Dominators in Wisconsin, US on BeamStation

License

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

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