Datasets:

beamstation
/

white-space-finder-in-minnesota-us-370435

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 null	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github null	social_username_github null	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	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 null	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 null	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 null	sentiment_negative_pct_30d null	sentiment_neutral_pct_30d null	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 null	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d float64	reviews_count_90d float64	reviews_count_180d float64	reviews_count_360d float64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_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 null	beam_trends_score_90d_rating null	beam_trends_score_90d_review_count null	beam_trends_score_90d_beam_rating_health null	beam_trends_score_90d_beam_popularity_percentile null	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 null	beam_trends_sentiment_negative_ratio null	beam_trends_sentiment_review_count float64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d float64	beam_velocity_reviews_last_90d float64	beam_velocity_reviews_last_365d float64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	beam_velocity_rank_city float64	beam_velocity_rank_state float64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d null	beam_trends_sentiment_recommend_pct float64
BCGYSW96	Burger King	Food and Drink	Restaurants	Restaurant	Restaurant, Fast food restaurant	1600 7th St W, St Paul, MN 55102	1600 7th St W	St. Paul	Minnesota	West Seventh - Fort Road	West 7th	55,102	US	true	44.916451	-93.142378	America/Chicago	(651) 22-***	1	CLOSED_TEMPORARILY	false	true	null	true	St. Paul	Minnesota	US	https	https://burgerking.com/store-locator/store/restaurant_1597	burgerking.com/store-locator/store/restaurant_1597	burgerking.com	com	11,467	1994-11-14	2026-11-13	CSC Corporate Domains, Inc.	purchase_dataset@carrols.com, purchase_dataset@3cityfoods.com, purchase_dataset@msn.com, purchase_dataset@burgerking.com.ph, purchase_dataset@burgerking.com.bn, purchase_dataset@burgerking.com.py, purchase_dataset@gathagan.com, purchase_dataset@burgerking.com.my	realdomain	8	5	3	Well-known fast-food chain serving grilled burgers, fries & shakes, plus breakfast.	true	true	2.04	139	{"1": 32, "2": 14, "3": 16, "4": 25, "5": 52}	Takeout, Dine-in	null	null	Wheelchair accessible restroom	Coffee, Late-night food	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating	Restroom	null	Family-friendly	null	Credit cards, Debit cards	High chairs, Kids' menu	false	true	purchase_dataset@	true	true	7	2025-07-28	2026-03-05	253	33	101	253	253	33	33	https://www.instagram.com/burgerking	burgerking	https://www.facebook.com/burgerking	burgerking	https://twitter.com/burgerking	burgerking	https://www.tiktok.com/@burgerking	burgerking	https://www.linkedin.com/company/burger-king	burger-king	https://www.youtube.com/channel/uc23zqc2ltzl7dfoi6emwjhg	uc23zqc2ltzl7dfoi6emwjhg	null	null	null	null	https://www.pinterest.com/burgerkingitalia	burgerkingitalia	1,977,057	0.05	null	0.05	0.05	0.05	421	1,400,000	554	7,900,000	5.33	null	6.31	6.17	5.33	https://bk.com/menu	null	null	2026-04-06T21:02:38.223843+00:00	634.69	null	0	5,708.05	23.3	47.1082	2.19	40.8	71.5	34.5	0.1036	null	null	null	null	0.9039	0.9021	0.8557	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	0	null	null	null	51.4	19.5	100	83	50	44	380	930	674	5,443	11,976	9,496	432,703	964,974	712,216	463,640	380	14,374	5	131,893	204,700	101	117,998	242,544	101	177,983	6	640	1,479	8,556	18,308	733,669	1,458,104	733,669	0.5981	0.1701	0.5247	-0.1701	-0.5247	0.8075	0.4588	0.7606	-0.4588	-0.7606	0.6716	0.1285	0.5421	-0.1285	-0.5421	100	4	100	14,374	323,978	131,893	0.9802	0.5617	0.823	0.5211	0.9039	54.2	0.84	860	16	0.6489	-2.8	1.2	-721	18.5	-0.5453	204,700	427,845	117,998	0.7236	0.4297	0.8442	0.2728	0.9021	50.4	0.7	1,478	8.7	0.7108	1	1.34	-1,339	25.8	-0.6072	242,544	491,041	177,983	0.6692	Market Leader	0.3387	0.7627	0.2392	0.8557	Strong	51.4	0.62	1,577	8.2	Average	0.7193	0	1.42	-1,438	26.3	-0.6157	5	101	101	831	516	concentrated	0.0388	1.27	0	75	25	3,618	1,084	competitive	0.0009	1.27	5	82	13	7,712	5,012	competitive	0.0009	0.32	2	87	11	0.1247	0.5542	-0.1247	-0.5542	100	101	110	137	474	0.8433	0.8063	0.3262	0.8276	0.2066	51.1	0.7	1,688	8	0.7169	0.3	1.34	-1,549	26.5	-0.6133	competitive	0.0008	0.69	2	86	12	0.6771	2.19	1.64	0.2763	0.6464	-0.2763	-0.6464	100	101	1,313	1,875	6,936	0.8601	0.8032	0.2726	0.8316	0.183	51.4	0.53	2,551	6.2	0.8089	0	1.51	-2,412	28.3	-0.7053	competitive	0.0005	0.0004	1.08	0.09	0.6668	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	10.3	1.1	-392	-0.3559	0.7905	0.6693	0.4111	0.6876	0.1913	164,202	0.6403	14.1	261,055	465,428	44.5	8.8	46.7	791,802	592	51.8	4.2	435	13.9	0.4405	4.5	-1.02	-295	-0.3369	0.4856	0.0761	0.4179	0.802	0.2081	304	54.34	-54.34	0	592	3.21	3,115	2,144	0.5419	5,419.21	0.18	57,065	25	0.0447	447.09	15.08	2,000	0.01	99.01	0.01	99.01	0.01	99.01	0	99.01	-10.6	-1.34	-1	-21.2	0	null	null	null	null	null	-0.03	-27,121	0.038	0.81	14,374	0.98	-0.18	112,524	-0.148	0.67	204,700	0.724	-0.15	92,631	-0.119	0.6	242,544	0.669	0.38	-332	0.477	0.68	110	0.843	0.41	-5,106	0.555	0.67	1,313	0.86	0.1036	null	null	139	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
DRHQ3U58	ie - Italian Eatery by Travail	Food and Drink	Restaurants	Italian restaurant	Italian restaurant	4724 Cedar Ave S, Minneapolis, MN 55407	4724 Cedar Ave S	Minneapolis	Minnesota	Northrop	Northrup	55,407	US	true	44.917193	-93.247763	America/Chicago	(612) 20-***	3	null	true	true	null	true	Minneapolis	Minnesota	US	http	http://italianeaterymsp.com	italianeaterymsp.com	italianeaterymsp.com	com	980	2023-08-01	2026-08-01	NameCheap, Inc.	purchase_dataset@italianeaterymsp.com, purchase_dataset@travailcollective.com	realdomain	2	0	2	Stylish locale offering modern Italian food, wine & cocktails, plus a seasonal patio & pergola bar.	true	true	0.1	1,952	{"1": 31, "2": 45, "3": 78, "4": 257, "5": 1541}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great wine list, Serves local specialty	Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Private dining room, Vegan options, Vegetarian options, Wine	Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	Groups, Tourists	Brunch reservations recommended, Dinner reservations recommended, Accepts reservations, 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	2	2025-09-24	2026-01-12	195	85	24	195	195	85	85	https://www.instagram.com/italianeatery	italianeatery	https://www.facebook.com/italianeaterymn	italianeaterymn	null	null	null	null	null	null	null	null	null	null	null	null	null	null	11,801	0.08	null	0.13	0.09	0.08	1,659	null	null	null	null	null	null	null	null	https://italianeaterymsp.com/menus	https://italianeatery.com/reservations	https://italianeatery.com/reservations	2026-04-05T00:19:44.527647+00:00	4.94	0	0.6	7,181.16	104.8	62.6948	1.67	2	100	1.7	0.8328	null	0.7179	0.753	0.7966	0.5511	0.7137	0.8308	85.9	89.8	null	null	null	91.67	8.33	0	92.86	7.14	0	94.12	5.88	0	stable	declining	null	-3.9	-0.0787	-4.3	0	12	14	17	71.4	182.4	-100	43.4	9.5	32	100	88.2	98	21	855	27	72	5,167	90	7,563	389,758	9,260	7,744	21	560,131	5	341,822	380,205	169	304,698	300,102	185	142,038	24	1,258	2,544	8,556	18,308	733,669	1,458,104	733,669	0.5717	0.2299	0.5533	-0.2299	0.1646	0.2664	0	0.0289	0	0.689	0.4838	0.1372	0.4194	-0.1372	0.2985	184	4	168	560,131	728,884	341,822	0.2451	0.0199	0.5413	0.0103	0.5511	37.8	0.05	539	0.8	0.5008	5.6	0.05	1,413	0.9	0.332	380,205	480,548	304,698	0.4919	0.3588	0.5978	0.3229	0.7137	47.1	0.6	985	9.7	0.6293	-3.7	-0.5	967	-8	0.2035	300,102	515,266	142,038	0.5915	Below Average	0.3063	0.8107	0.3198	0.8308	Average	50.5	0.58	1,704	9.8	Average	0.712	-7.1	-0.48	248	-8.1	0.1208	5	169	185	351	88	concentrated	0.4752	1.27	50	50	0	3,645	1,033	competitive	0.0117	2.14	19.6	73.2	7.1	7,473	5,029	competitive	0.0062	0.59	2.2	87	10.9	0.2218	0.5702	-0.2218	0.1477	180	181	551	849	48	0.6096	0.3557	0.9668	0.0976	0.9215	50.5	0.55	1,714	9.2	0.7274	-7.1	-0.45	238	-7.5	0.1054	competitive	0.0063	1.21	2.8	87.8	9.4	0.6406	1.68	2.11	0.2363	0.6531	-0.2363	0.0648	192	193	5,218	9,000	257	0.4489	0.0498	0.9732	0.0542	0.9513	55.2	1.13	1,842	18.8	0.7572	-11.8	-1.03	110	-17.1	0.0756	competitive	0.0055	0.0009	0.56	0.19	0.4864	0.059	0.2307	-0.059	0.4872	791,801	41.1	0.94	531	20.4	0.4595	2.3	-0.84	1,421	0.3733	0.5673	0.326	0.9464	0.3375	0.9108	340,087	0.6086	-18.7	512,321	42,438	44.5	8.8	46.7	791,802	1,161	52.7	4.22	398	13.7	0.4747	12.8	0.39	1,233	0.3563	0.7345	0.4845	0.9828	0.4397	0.8871	305	58.42	34.36	0.8776	1,161	4.19	2,389	2,887	0.7175	7,175.42	0.34	29,721	25	0.062	619.65	2,257.87	2,000	1.36	59.17	0.38	54.05	0.4	55.25	0.3	51.81	-37.6	-4.56	324	-90	-61.8	null	null	null	null	null	-0.47	440,892	-0.589	0.27	560,130	0.245	-0.38	318,914	-0.421	0.48	380,203	0.492	-0.31	181,974	-0.239	0.57	300,098	0.592	-0.23	363	-0.256	0.64	551	0.61	-0.41	4,285	-0.447	0.49	5,218	0.449	0.8328	null	null	1,631	0	0	0	0	decelerating	0.17	1.17	5	5	25	124	0.719	0.729	0.729	0.588	0.613	213,014	221,732	221,154	7	36	decelerating	-0.26	null	93.44
YJ8246ZA	Carbone's Pizza & Pub Minneapolis	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Italian restaurant, Pizza delivery	4705 Cedar Ave S, Minneapolis, MN 55407	4705 Cedar Ave S	Minneapolis	Minnesota	Ericsson	Ericsson	55,407	US	true	44.917718	-93.246934	America/Chicago	(612) 72-***	2	OPERATIONAL	true	true	null	true	Minneapolis	Minnesota	US	http	http://carbones.com	carbones.com	carbones.com	com	7,785	2004-12-13	2030-12-13	GoDaddy.com, LLC	purchase_dataset@carbonefinefood.com	null	1	0	1	Longtime local pizza chain offering plenty of topping options, hoagies & salads.	true	true	0.09	1,367	{"1": 52, "2": 36, "3": 70, "4": 287, "5": 922}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great beer selection, Great cocktails, Live music, Serves local specialty, 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, Quick bite, Small plates, Vegetarian options, Wine	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2025-09-14	2026-02-14	205	52	42	205	205	52	52	https://www.instagram.com/carbonerestaurants	carbonerestaurants	https://www.facebook.com/carbonesisthebest	carbonesisthebest	https://twitter.com/carbones	carbones	https://www.tiktok.com/@carbones.com_	carbones.com_	https://www.linkedin.com/company/carbones	carbones	null	null	null	null	null	null	null	null	37,490	1.51	null	0.68	1.51	1.51	44	106	18	594	8.64	null	null	11.98	8.64	https://places.singleplatform.com/carbones-pizza-on-the-parkway/menu	https://google.com/maps/reserve/v/dine/c/eqsgbljicls?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/eqsgbljicls?source=pa&opi=79508299	2026-04-04T22:51:44.424038+00:00	15.69	0.95	0	7,803.74	41.9	62.6948	1.67	1.8	100	1.5	0.7358	null	0.4438	0.6161	0.636	0.6307	0.701	0.8337	72.2	81.8	null	null	null	72.73	27.27	0	83.33	16.67	0	84.21	15.79	0	stable	declining	null	-9.6	-0.1922	-11.7	0	11	18	19	22.2	131.6	-100	51.3	32.8	92	100	77.8	98	60	1,038	76	244	6,392	308	22,248	486,320	27,889	23,690	60	628,821	5	224,700	385,537	168	304,176	300,102	185	139,066	27	1,258	2,544	8,556	18,308	733,669	1,458,104	733,669	0.5729	0.2299	0.5526	-0.2299	-0.1088	0.2774	0	0.0975	0	0.3463	0.4812	0.1381	0.4124	-0.1381	0.0314	184	4	167	628,821	728,884	224,700	0.1548	0.0199	0.6984	0.0117	0.6307	35.8	0.05	685	0.9	0.5251	15.5	0.04	682	0.6	0.2107	385,537	480,548	304,176	0.4851	0.3588	0.5984	0.3229	0.701	47	0.6	986	9.7	0.6251	4.3	-0.51	381	-8.2	0.1107	300,102	515,266	139,066	0.5915	Below Average	0.3063	0.8146	0.3198	0.8337	Average	50.5	0.58	1,716	9.8	Average	0.7128	0.8	-0.49	-349	-8.3	0.023	5	168	185	384	88	concentrated	0.3328	1.27	50	50	0	3,625	1,010	competitive	0.0082	2.13	20.4	72.5	7.2	7,467	5,058	competitive	0.0043	0.59	2.2	87	10.9	0.2218	0.5726	-0.2218	-0.1288	180	181	178	913	94	0.8734	0.3211	0.9335	0.087	0.7984	50.5	0.55	1,716	9.2	0.7239	0.8	-0.46	-349	-7.7	0.0119	competitive	0.0044	1.21	2.8	87.8	9.4	0.7257	1.68	2.11	0.2441	0.654	-0.2441	-0.2102	192	193	2,387	9,000	531	0.7471	0.0498	0.9444	0.0504	0.8389	55.2	1.12	1,838	18.7	0.7568	-3.9	-1.03	-471	-17.2	-0.021	competitive	0.0039	0.0009	0.56	0.19	0.5971	0.059	0.2307	-0.059	0.2131	791,801	41.1	0.94	531	20.4	0.4595	10.2	-0.85	836	0.2763	0.7884	0.2971	0.8993	0.3051	0.7871	165,907	0.6743	-18.9	533,656	79,643	44.5	8.8	46.7	791,802	1,161	52.7	4.22	398	13.7	0.4747	21.5	0.26	779	0.2667	0.9621	0.4155	0.9509	0.3836	0.7655	44	58.42	31.29	0.7879	1,161	4.19	2,389	2,887	0.7183	7,183.12	0.34	29,721	25	0.0618	618.31	1,107.33	2,000	0.68	59.52	0.19	54.05	0.19	55.25	0.15	51.81	-35.4	-4.35	198	-86.7	-39.9	null	null	null	null	null	-0.51	462,511	-0.614	0.28	628,820	0.155	-0.38	324,246	-0.428	0.48	385,535	0.485	-0.31	181,974	-0.239	0.57	300,099	0.592	-0.12	162	-0.115	0.73	178	0.873	-0.27	2,325	-0.246	0.6	2,387	0.747	0.7358	null	null	1,177	0.07	2	0.582	0.646	decelerating	0.07	0.47	2	2	11	87	0.732	0.739	0.74	0.582	0.646	156,567	163,872	163,540	16	102	decelerating	-0.2	null	90.82
H4VP5L5N	Dari-ette Drive-In	Food and Drink	Restaurants	Italian restaurant	Italian restaurant	1440 Minnehaha Ave E, St Paul, MN 55106	1440 Minnehaha Ave E	St. Paul	Minnesota	Dayton's Bluff	Dayton's Bluff	55,106	US	true	44.962952	-93.039851	America/Chicago	(651) 77-***	1	CLOSED_TEMPORARILY	false	true	null	true	St. Paul	Minnesota	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	2.8	409	{"1": 21, "2": 9, "3": 27, "4": 86, "5": 266}	Outdoor seating, Delivery, Takeout, Dine-in	Fast service	null	null	null	Dinner, Dessert, Seating	null	Trending	null	null	null	Good for kids	false	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-04T22:32:22.669693+00:00	0	null	2.5	6,932.66	262.9	79.291	1.3	56	87.1	54.8	null	null	null	null	null	0.9957	0.2235	0.3818	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	46.8	19.5	0	33	50	98	259	605	397	3,451	7,396	5,404	267,512	568,544	401,761	286,697	259	616,880	3	691,288	540,160	130	361,181	523,040	180	319,139	3	640	1,479	8,556	18,308	733,669	1,458,104	733,669	0.3791	0.1513	0.3986	-0.1513	-0.3986	0.1152	0	0.1913	0	-0.1913	0.3494	0.1171	0.2723	-0.1171	-0.2723	179	2	129	616,880	681,702	691,288	0.1704	0.0826	0.0743	0.045	0.9957	36.2	0.16	164	2.8	0.8444	10.6	2.64	245	52	-0.8444	540,160	551,441	361,181	0.2828	0.2644	0.5232	0.3034	0.2235	43.8	0.49	883	9.3	0.4803	3	2.31	-474	45.5	-0.4803	523,040	527,623	319,139	0.2995	Emerging	0.2896	0.5748	0.3577	0.3818	Below Average	46.6	0.56	1,237	10.6	Below Average	0.5796	0.2	2.24	-828	44.2	-0.5796	3	130	180	368	8	concentrated	0.555	0.64	50	50	0	3,495	1,066	competitive	0.0036	1.64	27.9	69	3.1	7,725	5,203	competitive	0.0018	0.57	19.6	72.6	7.8	0.1321	0.4654	-0.1321	-0.4654	169	170	160	108	202	0.7692	0.8476	0.7137	0.9416	0.1524	48.8	0.67	1,278	9.5	0.6625	-2	2.13	-869	45.3	-0.6625	competitive	0.0019	1.16	10.1	81.1	8.9	0.7761	1.3	2.65	0.2337	0.6569	-0.2337	-0.6569	192	193	3,909	1,759	2,112	0.587	0.8153	0.7788	0.8686	0.1285	55.1	1.11	1,842	18.5	0.7574	-8.3	1.69	-1,433	36.3	-0.7574	competitive	0.0012	0.0009	0.56	0.19	0.713	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	5.7	1.86	-122	-0.4595	0.6715	0.7629	0.6365	0.904	0.0391	257,757	0.6884	34.4	186,642	287,379	44.5	8.8	46.7	791,802	592	51.8	4.2	435	13.9	0.4405	1.1	0.15	-26	-0.4405	0.4213	0.357	0.599	0.9154	0.044	343	54.34	-54.34	0	592	5.42	1,843	2,144	0.6933	6,932.66	0.34	29,721	25	0.062	619.84	3,079.72	3,333.33	0.13	76.92	0.03	55.56	0.04	58.82	0.01	51.81	-8.5	-1.58	1	-31.2	0	null	null	null	null	null	-0.44	315,971	-0.414	0.12	616,880	0.17	-0.16	178,341	-0.228	0.35	540,160	0.283	-0.3	321,019	-0.418	0.38	523,040	0.3	0.35	-369	0.531	0.78	160	0.769	0.3	-3,661	0.405	0.71	3,909	0.587	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null

White Space Finder in Minnesota, US

Free sample dataset from BeamStation

The "White Space Finder in Minnesota, US" dataset identifies specific markets within Minnesota where consumer demand for a given category is strong while direct competition remains extremely limited. Each of the 44 records represents a city or area with a population of at least 50,000 that satisfies a strict tri‑factor test: high demand signals (active consumer sentiment), severe undersupply (fewer than five competitors), and an immediate micro‑radius opportunity for new entrants. Updated weekly, the dataset provides a timely snapshot of these "blue ocean" opportunities, enabling entrepreneurs, market analysts, and investors to pinpoint locations ripe for entry or expansion. By focusing on Minnesota, the dataset offers a localized view that can inform regional business planning, site‑selection strategies, and competitive analysis. Users can leverage the weekly refresh to track emerging trends and act quickly before market conditions shift. Access the dataset directly via the provided URL for the most current list of qualifying locations.

Dataset Details

Field	Value
Full dataset	44 records
Sample size	4 records
Location	Minnesota
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/white-space-finder-in-minnesota-us-370435")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 44 records and unmasked contact data is available at:

White Space Finder in Minnesota, US on BeamStation

License

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

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