Datasets:

beamstation
/

white-space-finder-in-pacific-northwest-states-us-190244

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 null	social_username_youtube null	social_profile_github null	social_username_github null	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest null	social_username_pinterest null	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m null	instagram_engagement_rate_6m null	instagram_engagement_rate_12m null	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 null	reservation_link null	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_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_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_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 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
5FLX9CQ8	Both Ways Cafe	Food and Drink	Restaurants	Breakfast restaurant	Breakfast restaurant, Bakery, Cafe	4922 S Genesee St, Seattle, WA 98118	4922 S Genesee St	Seattle	Washington	Rainier Valley	Lakewood	98,118	US	true	47.56428	-122.27093	America/Los_Angeles	(206) 72-***	2	OPERATIONAL	true	true	null	true	Seattle	Washington	US	http	http://bothwayscafe.com	bothwayscafe.com	bothwayscafe.com	com	2,483	2019-06-22	2027-06-22	Wix.com Ltd.	null	null	0	0	0	"Long-standing venue with a warm ambiance serving classic breakfasts, plus salads & stews for lunch.(...TRUNCATED)	true	true	4.47	629	{"1": 22, "2": 20, "3": 40, "4": 110, "5": 438}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Great coffee, Great tea selection, Serves local specialty	Breakfast, Solo dining	Wheelchair accessible restroom, Wheelchair accessible seating	"Coffee, Comfort food, Healthy options, Organic dishes, Quick bite, Vegan options, Vegetarian option(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Table service	Restroom, Wi-Fi	Casual, Cozy	null	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2015-07-26	2026-02-09	3,910	59	54	3,910	3,910	59	59	https://www.instagram.com/bothwayscafe	bothwayscafe	https://www.facebook.com/p/both-ways-cafe-catering-100063651446808	both-ways-cafe-catering-100063651446808	https://twitter.com/jonathan_deboer	jonathan_deboer	https://www.tiktok.com/@bothways61	bothways61	https://www.linkedin.com/in/sebastian-raine-7bb48759	sebastian-raine-7bb48759	null	null	null	null	null	null	null	null	207	9.02	null	null	null	null	3	75	16	411	5.95	null	9.48	5.34	5.95	https://bothwayscafe.com/menu	null	null	2026-04-09T10:17:20.412196+00:00	0.03	2.86	0.3	3,084.04	13.9	50.4244	3.31	89.4	93.3	86.8	0.7357	null	0.8999	0.7265	0.586	0.4206	0.786	0.9091	95	79.3	null	null	null	100	0	0	86.21	10.34	3.45	78.95	17.54	3.51	stable	improving	null	15.7	0.3139	19.8	10	29	57	-31	-29.8	-100	77.9	32.8	92	67	96.8	46	643	2,852	1,153	4,141	13,035	6,602	187,353	552,644	268,385	200,778	643	250,753	5	710,329	44,668	101	428,658	279,795	101	40,006	22	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.6677	0.1424	0.5517	-0.1424	0.4481	0.515	0.25	0.25	-0.25	0.7498	0.7654	0.1133	0.4753	-0.1133	0.5245	100	4	100	250,753	153,881	710,329	0.658	0.7904	0.049	0.7768	0.4206	43.9	1.37	119	25.3	0.4629	22.5	1.44	509	28.8	0.2728	44,668	100,641	428,658	0.9394	0.8647	0.4342	0.8835	0.786	56.6	1.81	774	31	0.6556	9.8	1	-146	23.1	0.0801	279,795	405,786	40,006	0.6186	Average	0.4542	0.9467	0.3198	0.9091	Strong	50.8	0.78	2,340	9.8	Strong	0.7408	15.6	2.03	-1,712	44.3	-0.0051	5	101	101	712	17	concentrated	0.5694	1.27	50	25	25	3,397	1,033	competitive	0.008	1.27	4	49	47	0	7,606	5,135	competitive	0.0027	0.32	5	78	17	0.1483	0.5921	-0.1483	0.4077	100	101	136	560	1,037	0.9582	0.8299	0.686	0.9146	0.726	51.6	0.78	2,085	11.5	0.7713	14.8	2.03	-1,457	42.6	-0.0356	competitive	0.003	0.27	4	79	17	0.8381	3.32	0.7	0.2478	0.6187	-0.2478	0.3811	100	101	652	3,516	7,530	0.9622	0.8009	0.5766	0.8977	0.7561	53.2	0.98	2,339	14.1	0.822	13.2	1.83	-1,711	40	-0.0863	competitive	0.0027	0.5643	1.1	0.07	0.7981	0.059	0.2307	-0.059	0.7691	791,801	41.1	0.94	531	20.4	0.4595	25.3	1.87	97	0.2762	0.9673	0.7643	0.737	0.8997	0.7869	25,371	0.8373	33.7	185,574	207,932	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	19.9	0.17	208	0.2009	0.9413	0.4177	0.7527	0.8668	0.7142	138	64.39	26.58	0.7758	2,419	1.36	7,370	2,003	0.2829	2,828.88	0.13	77,053	43,479	0.0304	303.57	3,241.67	2,000	0.65	99.01	0.07	99.01	0.09	99.01	0.07	99.01	-17.8	-1.66	0	-32.7	-35	null	null	null	null	null	0.22	-365,262	0.497	0.52	250,752	0.658	0.07	-105,207	0.146	0.77	44,666	0.939	-0.2	161,667	-0.212	0.67	279,783	0.619	0.06	-3	0.003	0.84	136	0.958	0	199	-0.01	0.8	652	0.962	0.7357	null	null	629	0.07	2	0.652	0.553	decelerating	0.07	0.47	2	2	13	37	0.732	0.739	0.74	0.652	0.553	156,567	163,872	163,540	4	37	decelerating	-0.1	null	89.44
VTRFDSBP	Slim Chickens	Food and Drink	Restaurants	Chicken restaurant	"Chicken restaurant, Chicken shop, Chicken wings restaurant, Family restaurant, Fast food restaurant(...TRUNCATED)	3369 W Chinden Blvd, Meridian, ID 83646	3369 W Chinden Blvd	Meridian	Idaho	null	null	83,646	US	true	43.662269	-116.435703	America/Boise	(208) 39-***	1	null	true	true	null	true	Meridian	Idaho	US	https	https://slimchickens.com	slimchickens.com	slimchickens.com	com	7,939	2004-07-14	2034-07-14	Wild West Domains, LLC	null	null	0	0	0	Counter-serve chain specializing in chicken dishes, plus Southern sides & desserts served in jars.	true	true	4.13	648	{"1": 62, "2": 37, "3": 52, "4": 100, "5": 401}	"Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Ta(...TRUNCATED)	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Quick bite, Vegetarian options	Lunch, Dinner, Catering, 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, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://order.slimchickens.com/menu	null	null	2026-04-09T04:57:39.479722+00:00	0	0.59	4.4	11,961.32	508.1	82.7191	1.35	82.6	93.7	76.5	0.5267	null	0.6556	0.6309	0.6271	0.5576	0.2268	0.454	82.8	81.4	null	null	null	75	12.5	12.5	81.82	14.55	3.64	80.43	14.49	5.07	stable	stable	null	1.4	0.0285	1.7	8	55	138	-70.9	-76.8	-100	62.1	35.1	0	50	80.9	46	125	516	183	1,173	6,419	1,736	181,537	903,266	259,269	194,629	125	57,195	5	690,721	209,765	75	606,663	27,218	101	241,987	57	372	898	4,223	10,208	734,279	1,460,619	734,279	0.8772	0.0559	0.4708	-0.0559	0.1523	0.6645	0	0.4265	0	0.1966	0.6211	-0.0126	0.2754	0.0126	0.3477	100	4	74	57,195	64,010	690,721	0.9208	0.9124	0.075	0.8831	0.5576	49.8	1.8	165	31.1	0.5027	2.5	0.9	480	17.9	0.024	209,765	62,683	606,663	0.7165	0.9154	0.1997	0.9537	0.2268	50.3	2.03	490	36.3	0.4815	2	0.67	155	12.7	0.0452	27,218	26,620	241,987	0.9623	Strong	0.9636	0.6774	0.9507	0.454	Average	60.3	2.51	1,401	36.6	Market Leader	0.6044	-8	0.19	-756	12.4	-0.0777	5	75	101	171	52	concentrated	0.4943	1.27	25	50	25	2,527	1,335	competitive	0.0175	0.94	21.6	54.1	24.3	0	7,755	5,098	competitive	0.0046	0.32	2	38	60	0.0523	0.4385	-0.0523	0.1846	100	101	192	186	157	0.5328	0.5474	0.6204	0.6253	0.5182	60.1	2.49	1,407	36.2	0.5887	-7.8	0.21	-762	12.8	-0.062	competitive	0.0046	1.04	1	41	58	0.5635	1.36	5.11	0.0878	0.6295	-0.0878	-0.0064	100	101	1,425	1,646	1,695	0.6959	0.6495	0.6404	0.6826	0.4839	60.5	2.14	1,718	31.1	0.7466	-8.2	0.56	-1,073	17.9	-0.2199	competitive	0.0037	0.0005	1.07	0.32	0.6653	0.059	0.2307	-0.059	0.3924	791,801	41.1	0.94	531	20.4	0.4595	11.2	1.76	114	0.0672	0.8084	0.7493	0.7432	0.7704	0.5071	150,255	0.7711	28.6	197,519	203,009	44.5	8.8	46.7	791,802	326	57.7	4.19	466	40.8	0.4911	1.9	-0.22	182	0.0562	0.4277	0.2462	0.6738	0.4954	0.5108	186	61.84	21.05	0.6185	326	8.5	1,176	1,221	1.1961	11,961.32	0.53	19,009	9	0.0904	903.93	2,442.86	2,000	3.05	133.33	0.21	99.01	0.21	99.01	0.14	99.01	-13.4	-1.43	-2	-27.5	-7.1	null	null	null	null	null	0.12	-67,898	0.095	0.66	57,194	0.921	0.4	-362,884	0.486	0.62	209,764	0.717	0.35	-298,057	0.41	0.88	27,214	0.962	0.12	-76	0.187	0.56	192	0.533	0.18	-1,196	0.273	0.67	1,425	0.696	0.5267	null	null	648	0.1	3	0.571	0.82	decelerating	0.1	0.7	3	3	13	91	0.834	0.839	0.839	0.571	0.82	104,497	109,172	109,042	4	9	decelerating	0.03	null	80.34
FXK9CDAZ	Cupbop - Korean BBQ in a Cup	Food and Drink	Restaurants	Korean restaurant	Korean restaurant	3106 E Amity Rd Suite 100A, Meridian, ID 83642	3106 E Amity Rd Suite 100A	Meridian	Idaho	null	null	83,642	US	true	43.561575	-116.355455	America/Boise	(208) 67-***	2	null	true	true	null	true	Meridian	Idaho	US	https	https://cupbop.com	cupbop.com	cupbop.com	com	5,374	2011-07-23	2026-07-23	GoDaddy.com, LLC	null	null	0	0	0	null	true	false	4.55	269	{"1": 16, "2": 12, "3": 4, "4": 16, "5": 226}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Vegan options, Vegetarian options	Lunch, Dinner, Catering, Counter service, Seating	Restroom	Casual, Quiet	Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://cupbop.com/menu	null	null	2026-04-08T22:19:41.008542+00:00	0	0.2	4.5	11,961.32	508.2	82.7191	1.36	91	81	88.5	0.706	null	0.5825	0.5414	0.6077	0.5111	0.344	0.446	79.1	80.4	null	null	null	83.33	16.67	0	78.57	19.64	1.79	82.29	14.58	3.13	stable	stable	null	-1.3	-0.0252	-1.6	12	56	96	-57.1	-50	-100	62	27.4	0	33	84.6	46	215	278	337	2,040	3,561	3,411	338,976	459,460	527,095	362,865	215	22,118	5	713,421	166,974	101	461,623	53,798	101	135,295	15	372	898	4,223	10,208	734,279	1,460,619	734,279	0.8898	0.0271	0.4648	-0.0271	0.2615	0.6941	0	0.4449	0	0.2814	0.7088	0.0268	0.2258	-0.0268	0.5005	100	4	100	22,118	17,419	713,421	0.9695	0.9762	0.0449	0.9533	0.5111	52.7	2.35	110	38.4	0.4892	1.2	1.01	161	26.5	0.2168	166,974	44,728	461,623	0.7742	0.9394	0.3908	0.9364	0.344	51.2	2.16	721	34.7	0.519	2.7	1.2	-450	30.2	0.187	53,798	65,473	135,295	0.9263	Strong	0.9113	0.8196	0.8243	0.446	Strong	58.2	2.13	1,731	27.8	Market Leader	0.6017	-4.3	1.23	-1,460	37.1	0.1043	5	101	101	42	0	concentrated	0.3812	1.27	25	25	50	3,849	1,681	competitive	0.0037	1.27	18	50	32	0	7,445	5,129	competitive	0.0016	0.32	3	45	52	0.0523	0.4385	-0.0523	0.2878	100	101	173	112	267	0.5791	0.7275	0.3528	0.8856	0.8029	60.1	2.49	1,407	36.2	0.5887	-6.2	0.87	-1,136	28.7	0.1173	competitive	0.0019	1.04	1	41	58	0.5557	1.36	5.11	0.0878	0.6295	-0.0878	0.0968	100	101	1,273	1,022	2,858	0.7279	0.7829	0.3938	0.9116	0.7199	60.5	2.14	1,718	31.1	0.7466	-6.6	1.22	-1,447	33.8	-0.0406	competitive	0.0016	0.0005	1.07	0.32	0.6442	0.059	0.2307	-0.059	0.4956	791,801	41.1	0.94	531	20.4	0.4595	12.8	2.42	-260	0.2465	0.8363	0.8279	0.5417	0.9518	0.7429	128,397	0.7454	44.5	135,561	362,207	44.5	8.8	46.7	791,802	326	57.7	4.19	466	40.8	0.4911	4.9	0.34	-197	0.2472	0.5046	0.5877	0.4277	0.7754	0.8092	161	61.84	27.22	0.8246	326	8.5	1,176	1,221	1.1961	11,961.32	0.53	19,009	9	0.0904	903.93	1,452.78	2,000	0.14	99.01	0.02	99.01	0.04	99.01	0.02	99.01	-15	-1.19	2	-23.6	-26.6	null	null	null	null	null	0.39	-464,891	0.636	0.69	22,117	0.97	0.35	-345,495	0.463	0.71	166,973	0.774	0.33	-232,999	0.322	0.89	53,796	0.926	0.03	-51	0.131	0.56	173	0.579	0.09	-862	0.199	0.64	1,273	0.728	0.706	null	null	269	0.03	1	0.5	0.188	decelerating	0.03	0.23	1	1	13	67	0.507	0.515	0.517	0.5	0.188	253,363	266,224	265,236	2	11	decelerating	-0.2	null	83.96
WYQTLBNS	Big Daddy's BBQ	Food and Drink	Restaurants	Barbecue restaurant	"Barbecue restaurant, Bar & grill, Catering food and drink supplier, Chicken wings restaurant, Famil(...TRUNCATED)	1551 W Cherry Ln #102, Meridian, ID 83642	1551 W Cherry Ln #102	Meridian	Idaho	null	null	83,642	US	true	43.618756	-116.412419	America/Boise	(208) 43-***	2	null	true	true	null	true	Meridian	Idaho	US	https	https://boisebbq.com	boisebbq.com	boisebbq.com	com	5,649	2010-10-21	2026-10-21	GoDaddy.com, LLC	purchase_dataset@boisebbq.com	realdomain	1	1	0	BBQ ribs & brisket join burgers, chili & local beer in a bright, basic counter-serve space.	true	true	4.34	1,058	{"1": 72, "2": 64, "3": 114, "4": 341, "5": 1311}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great dessert, Serves local specialty, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Coffee, Comfort food, Quick bite, Wine	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy	Family-friendly, Groups, Tourists	null	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2021-01-15	2023-12-11	1,910	850	65	1,910	1,910	850	850	null	null	https://www.facebook.com/bigdaddysbbqid	bigdaddysbbqid	https://twitter.com/boisebbq	boisebbq	https://www.tiktok.com/@bigdaddysbbqid	bigdaddysbbqid	https://www.linkedin.com/in/khaseta-grigg-bb21b7114	khaseta-grigg-bb21b7114	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	491	46	1,004	4.73	null	null	null	null	https://boisebbq.com/menu	null	null	2026-04-08T12:32:04.218365+00:00	0.42	0	0.2	12,379.84	126.6	82.7191	1.34	86.8	100	83.3	0.7009	null	0.5631	0.6312	0.6854	0.5507	0.5315	0.318	78.2	84.3	null	null	null	72.73	27.27	0	80	17.78	2.22	82.73	16.36	0.91	stable	declining	null	-6.1	-0.1223	-7.2	11	45	110	-51.1	-60	-100	72.3	9.5	84	83	80.3	46	40	403	56	369	5,136	492	65,420	698,663	85,967	70,610	40	325,566	6	507,217	21,247	101	261,851	36,496	101	391,079	35	372	898	4,223	10,208	734,279	1,460,619	734,279	0.8117	0.0521	0.3895	-0.0521	0.1736	0.5797	0	0.1989	0	0.3642	0.8723	0.0525	0.4001	-0.0525	0.163	100	5	100	325,566	95,440	507,217	0.5572	0.8696	0.3198	0.8552	0.5507	42.4	1.62	376	29.3	0.5007	24.4	2.69	1,515	17	0.2002	21,247	30,088	261,851	0.9707	0.959	0.6543	0.9584	0.5315	58.6	2.29	1,070	36.8	0.5726	8.2	2.02	821	9.5	0.1283	36,496	29,056	391,079	0.9498	Average	0.9602	0.4791	0.971	0.318	Market Leader	59.5	2.48	1,083	39.7	Market Leader	0.5563	7.3	1.83	808	6.6	0.1446	6	101	101	210	157	concentrated	0.5016	1.59	40	40	20	3,568	1,097	competitive	0.0174	1.27	3	42	55	0	7,425	5,001	competitive	0.0172	0.32	1	46	53	0.0523	0.4428	-0.0523	0.1203	100	101	42	36	38	0.8954	0.91	0.9075	0.5742	0.7908	60.1	2.48	1,391	36.4	0.5896	6.7	1.83	500	9.9	0.1113	competitive	0.0134	1.04	1	41	58	0.9034	1.36	5.11	0.0878	0.6295	-0.0878	-0.0664	100	101	310	499	270	0.933	0.8936	0.9427	0.6612	0.711	60.5	2.14	1,718	31.1	0.7466	6.3	2.17	173	15.2	-0.0457	competitive	0.0109	0.0005	1.07	0.32	0.9241	0.059	0.2307	-0.059	0.3324	791,801	41.1	0.94	531	20.4	0.4595	25.7	3.37	1,360	0.2414	0.9699	0.8887	0.9429	0.7537	0.7353	23,385	0.9374	25.9	87,790	45,185	44.5	8.8	46.7	791,802	326	57.7	4.19	466	40.8	0.4911	21.8	0.16	592	0.2167	0.9785	0.4585	0.9015	0.9538	0.7477	8	61.84	24.12	0.7108	326	8.5	1,176	1,221	1.1821	11,820.72	0.53	19,009	9	0.0904	903.93	2,515.94	1,666.67	3.02	99.01	2.95	99.01	1.8	99.01	1.18	99.01	-13.7	-0.03	833	-37	-43.3	null	null	null	null	null	0.13	-192,608	0.265	0.58	325,565	0.557	0.25	-220,873	0.301	0.87	21,246	0.971	0.41	-378,765	0.516	0.81	36,494	0.95	0.13	-11	0.028	0.9	42	0.895	0.15	-190	0.045	0.92	310	0.933	0.7009	null	null	1,058	0	0	0	0	decelerating	0.23	1.63	7	7	26	117	0.816	0.822	0.822	0.667	0.729	142,983	148,636	148,433	3	13	stable	-0.1	null	85.26
NDTPG74Z	Sabor Del Río Café	Food and Drink	Restaurants	Restaurant	Restaurant	3307 NE Marine Dr, Portland, OR 97211	3307 NE Marine Dr	Portland	Oregon	Northeast Portland	null	97,211	US	true	45.602818	-122.630747	America/Los_Angeles	(360) 60-***	1	CLOSED_TEMPORARILY	false	true	null	true	Portland	Oregon	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.81	155	{"1": 3, "2": 2, "3": 2, "4": 7, "5": 141}	Outdoor seating, No-contact delivery, Onsite services, Takeout, Dine-in	null	null	Wheelchair accessible entrance	Alcohol, Beer, Coffee, Comfort food, Vegan options, Vegetarian options, Wine	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating	Gender-neutral restroom, Restroom, Wi-Fi	null	null	Accepts reservations	Credit cards	Kids' menu	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	2026-04-07T11:39:53.782036+00:00	0	0	3	3,177.09	79.4	58.1462	2.76	96.2	73.1	95.5	0.2659	null	-0.0181	0.277	0.2702	0.9759	0.7823	0.8908	49.1	63.5	null	null	null	0	0	100	40	0	60	35.33	0.67	64	stable	declining	null	-14.4	-0.2883	-22.7	1	10	150	-80	-97.3	-100	56.6	9.5	0	33	40.2	100	1,511	1,273	3,041	5,823	3,833	10,708	419,576	207,859	683,857	449,425	1,511	65,703	3	1,777	331,443	101	249,600	254,619	101	127,662	7	3,018	6,463	10,836	23,172	734,279	1,460,619	734,279	0.6714	0.111	0.5328	-0.111	-0.5509	0.6739	0	0.2849	0	-0.303	0.5211	0.0544	0.4219	-0.0544	-0.44	100	2	100	65,703	714,942	1,777	0.909	0.0367	0.9976	0.0134	0.9759	49.4	0.08	3,311	1	0.7432	-3.8	3.77	-3,157	75.6	-0.4773	331,443	505,028	249,600	0.5557	0.3258	0.6705	0.3229	0.7823	48	0.56	1,095	9.7	0.6541	-2.4	3.29	-941	66.9	-0.3882	254,619	343,627	127,662	0.653	Strong	0.5374	0.8299	0.4191	0.8908	Average	51.2	0.92	1,765	12	Strong	0.7325	-5.6	2.93	-1,611	64.6	-0.4666	3	101	101	454	382	concentrated	0.0227	0.64	0	100	0	4,149	1,927	competitive	0.0014	1.27	11	78	11	0	8,412	5,030	competitive	0.0009	0.32	3	78	19	0.1181	0.5725	-0.1181	-0.5906	100	101	872	299	1,950	0.7455	0.9126	0.4319	0.979	0.1701	52.5	1.07	2,073	13.9	0.7514	-6.9	2.78	-1,919	62.7	-0.4855	competitive	0.0007	0.27	1	77	22	0.7015	2.76	0.8	0.1422	0.6236	-0.1422	-0.6417	100	101	4,208	1,203	7,905	0.6507	0.9	0.349	0.9805	0.2098	54.3	1.31	2,084	18.7	0.7651	-8.7	2.54	-1,930	57.9	-0.4992	competitive	0.0007	0.0004	1.07	0.13	0.635	0.059	0.2307	-0.059	-0.2488	791,801	41.1	0.94	531	20.4	0.4595	4.5	2.91	-377	-0.1936	0.6354	0.8637	0.4283	0.9815	0.2728	286,278	0.6418	56.2	107,441	451,759	44.5	8.8	46.7	791,802	2,821	51	4.32	328	15.9	0.542	-3.2	0.49	-173	0.3408	0.3358	0.5589	0.5032	0.9642	0.9106	1,869	59.77	34.39	0.8979	2,821	1.53	6,525	1,737	0.3177	3,177.09	0.24	42,373	17	0.0492	491.73	5.17	3,333.33	0.02	99.01	0.01	99.01	0.01	99.01	0.01	99.01	-10.9	-0.96	-1	-18.9	-27.9	null	null	null	null	null	-0.3	58,177	-0.08	0.67	65,702	0.909	-0.22	167,130	-0.218	0.52	331,395	0.556	-0.17	128,683	-0.166	0.67	254,391	0.653	0.22	-1,747	0.514	0.7	872	0.746	0.17	-5,122	0.442	0.64	4,208	0.651	0.2659	null	null	155	0	0	0	0	decelerating	0.03	0.23	1	1	3	155	0.242	0.25	0.252	0.28	0.239	655,507	693,414	690,487	380	1,131	stable	0	-0.34	19.35
XUPVPNEN	Burger King	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant, Breakfast restaurant, Delivery service, Family restaurant	14340 15th Ave NE N. E, Seattle, WA 98125	14340 15th Ave NE N. E	Seattle	Washington	Lake City	Olympic Hills	98,125	US	true	47.733308	-122.312224	America/Los_Angeles	(206) 31-***	2	OPERATIONAL	true	true	null	true	Seattle	Washington	US	https	https://burgerking.com/store-locator/store/4662	burgerking.com/store-locator/store/4662	burgerking.com	com	11,469	1994-11-14	2026-11-13	CSC Corporate Domains, Inc.	"purchase_dataset@burgerking.com.my, purchase_dataset@burgerking.com.bn, purchase_dataset@burgerking(...TRUNCATED)	realdomain	6	2	4	Well-known fast-food chain serving grilled burgers, fries & shakes.	true	true	3.19	767	{"1": 202, "2": 71, "3": 153, "4": 162, "5": 260}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	null	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom	Coffee, Late-night food, Quick bite, Vegan options	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	7	2025-07-28	2026-03-05	255	35	101	255	255	35	35	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	null	null	null	null	null	null	null	null	1,977,057	0.05	null	null	null	null	421	1,400,000	554	7,900,000	5.33	null	6.31	6.19	5.33	https://burgerking.com/store-locator/store/4662	null	null	2026-04-07T09:11:34.129102+00:00	268.26	3.57	0	2,226.33	15.9	50.4244	3.13	63.8	96.2	48.6	0.0663	null	0.2135	-0.0648	-0.1009	0.5456	0.6902	0.922	60.7	45	null	null	null	60	20	20	50	45.83	4.17	46.15	48.08	5.77	stable	improving	null	15.7	0.3144	34.9	5	24	52	-58.3	-61.5	-100	70.2	42.8	100	100	60.8	100	513	5,697	878	3,283	29,099	5,116	147,934	1,268,634	207,474	159,105	513	450,697	6	718,967	194,655	101	389,018	286,673	101	172,928	77	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.5616	0.2249	0.5398	-0.2249	-0.648	0.4231	0.0274	0.2418	-0.0274	-0.35	0.6326	0.1246	0.3651	-0.1246	-0.4733	100	5	100	450,697	107,904	718,967	0.3899	0.8528	0.0374	0.9603	0.5456	40.1	1.56	92	39.8	0.4992	10	-0.62	752	-26.4	-0.4329	194,655	270,192	389,018	0.7369	0.6396	0.4865	0.622	0.6902	50.6	1.11	838	18.7	0.6217	-0.5	-0.17	6	-5.3	-0.5554	286,673	527,623	172,928	0.6097	Average	0.2896	0.7695	0.2444	0.922	Average	50.7	0.56	1,593	8.3	Average	0.7481	-0.6	0.38	-749	5.1	-0.6818	6	101	101	253	86	concentrated	0.6462	1.59	40	40	20	3,129	1,445	competitive	0.01	1.27	7	71	21	1	8,414	5,208	competitive	0.0053	0.32	1	86	13	0.1483	0.5829	-0.1483	-0.6911	100	101	738	1,032	715	0.7738	0.6866	0.7826	0.6733	0.1014	51.4	0.78	2,106	11.4	0.7709	-1.3	0.16	-1,262	2	-0.7046	competitive	0.004	0.27	5	78	17	0.7503	3.32	0.7	0.2478	0.6254	-0.2478	-0.7336	100	101	4,678	7,170	5,183	0.7355	0.5975	0.7092	0.598	0.0933	53.3	0.97	2,361	14.2	0.8221	-3.2	-0.03	-1,517	-0.8	-0.7558	competitive	0.0036	0.5643	1.1	0.07	0.6862	0.059	0.2307	-0.059	-0.3389	791,801	41.1	0.94	531	20.4	0.4595	9	0	313	-0.3932	0.7612	0.5965	0.8054	0.5912	0.179	187,255	0.725	-7	319,147	153,912	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	7.5	-0.88	346	-0.4603	0.5914	0.0823	0.8048	0.6402	0.134	978	64.39	2.1	0.3416	2,419	1.36	7,370	2,003	0.2857	2,857.35	0.13	77,053	43,479	0.0306	306.48	4,176.37	1,666.67	0.99	99.01	0.28	99.01	0.16	99.01	0.13	99.01	-17.2	-2.25	78	-35.3	4.3	null	null	null	null	null	0.28	-106,754	0.151	0.42	450,697	0.39	0.03	-61,912	0.086	0.63	194,655	0.737	-0.26	152,776	-0.199	0.56	286,673	0.61	0.32	-1,108	0.339	0.75	738	0.774	0.26	-5,070	0.294	0.69	4,678	0.736	0.0663	null	null	767	0.07	2	0.615	0.622	stable	0.07	0.47	2	2	6	37	0.732	0.739	0.74	0.615	0.622	156,567	163,872	163,540	9	228	stable	-0.06	null	63.84
RRRBU5S4	Gyro Shack	Food and Drink	Restaurants	Greek restaurant	Greek restaurant	5602 W State St, Boise, ID 83703	5602 W State St	Boise City	Idaho	Collister	Collister	83,703	US	true	43.656206	-116.258537	America/Boise	(208) 85-***	1	OPERATIONAL	true	true	null	true	Boise City	Idaho	US	https	https://gyroshack.com	gyroshack.com	gyroshack.com	com	6,503	2008-06-19	2026-06-19	GoDaddy.com, LLC	purchase_dataset@gyroshack.com, purchase_dataset@gyroshack.com	realdomain	2	2	0	Family-owned drive-thru lures locals with its housemade gyros & traditional Greek fare.	true	true	4.39	593	{"1": 37, "2": 18, "3": 35, "4": 104, "5": 410}	Delivery, Onsite services	null	Lunch, Dinner, Solo dining	null	Healthy options, Quick bite, Vegetarian options	Lunch, Dinner	null	Casual	College students, Tourists	null	Debit cards	null	true	true	purchase_dataset@	true	true	5	2025-05-01	2026-01-28	343	71	44	343	343	71	71	https://www.instagram.com/gyroshackusa	gyroshackusa	https://www.facebook.com/gyroshackusa	gyroshackusa	https://twitter.com/gyroshack	gyroshack	https://www.tiktok.com/@gyro.shack	gyro.shack	https://www.linkedin.com/company/gyroshack	gyroshack	null	null	null	null	null	null	null	null	2,738	0.49	null	null	null	null	1,256	24	14	85	1.88	null	1.4	1.34	1.88	https://gyroshack.com/our-menu	null	null	2026-04-07T07:06:49.692576+00:00	1.16	0	0.2	6,240.82	48.5	95.6439	2.72	87.8	92.5	85.5	0.6521	null	0.7833	0.2573	0.3269	0.9259	0.5417	0.6546	89.2	66.3	null	null	null	100	0	0	66.67	33.33	0	66.67	26.67	6.67	stable	improving	null	22.9	0.4564	34.5	5	15	30	-33.3	-33.3	-100	76	9.5	80	100	79.7	100	161	541	248	1,268	4,826	1,902	198,942	645,998	286,986	213,102	161	33,254	4	552,188	58,974	101	391,558	30,680	101	128,290	30	481	1,072	4,223	10,208	734,279	1,460,619	734,279	0.9181	0.0329	0.5361	-0.0329	0.1028	0.7136	-0.3125	0.3937	0.3125	0.2452	0.775	0.0462	0.3792	-0.0462	0.2597	100	3	100	33,254	112,030	552,188	0.9539	0.847	0.2596	0.8414	0.9259	51.4	1.54	334	28.5	0.6682	7.8	1.08	267	21.1	-0.0161	58,974	94,695	391,558	0.9206	0.8726	0.4832	0.8949	0.5417	55.5	1.84	834	31.7	0.5757	3.7	0.78	-233	17.9	0.0764	30,680	33,453	128,290	0.9577	Strong	0.9543	0.829	0.9061	0.6546	Strong	60	2.43	1,762	32.8	Market Leader	0.664	-0.8	0.19	-1,161	16.8	-0.0119	4	101	101	378	52	concentrated	0.3752	0.95	33.3	33.3	33.3	3,319	1,285	competitive	0.0072	1.27	5	56	39	0	7,155	5,077	competitive	0.0034	0.32	1	44	55	0.0464	0.5128	-0.0464	0.1261	100	101	114	210	227	0.7864	0.603	0.5728	0.7372	0.5974	57.5	1.99	1,444	28.8	0.6389	1.7	0.63	-843	20.8	0.0132	competitive	0.0041	0.45	1	52	47	0.6673	2.73	2.44	0.0878	0.6295	-0.0878	0.0094	100	101	838	1,724	1,797	0.821	0.6321	0.6185	0.6894	0.6385	60.5	2.14	1,718	31.1	0.7466	-1.3	0.48	-1,117	18.5	-0.0945	competitive	0.0035	0.0005	1.07	0.32	0.7036	0.059	0.2307	-0.059	0.4082	791,801	41.1	0.94	531	20.4	0.4595	18.1	1.68	70	0.1926	0.9039	0.7385	0.7266	0.7739	0.6633	75,196	0.8011	29.2	205,996	216,220	44.5	8.8	46.7	791,802	414	54.7	4.22	422	33	0.4605	15.6	0.04	171	0.2455	0.8039	0.3172	0.6659	0.6925	0.7288	80	55.25	33.37	0.7942	414	4.24	2,357	1,056	0.6126	6,125.66	0.53	19,009	9	0.0904	903.93	1,407.42	2,500	0.51	99.01	0.12	99.01	0.17	99.01	0.12	99.01	-18.1	-1.77	8	-35.9	-37.3	null	null	null	null	null	-0.04	-1,742	0.002	0.71	33,253	0.954	0.23	-250,958	0.341	0.78	58,972	0.921	0.21	-134,053	0.189	0.92	30,678	0.958	0.04	-31	0.062	0.67	114	0.786	0.02	-63	0.021	0.7	838	0.821	0.6521	null	null	593	0	0	0	0	decelerating	0.07	0.47	2	2	11	35	0.439	0.452	0.454	0.5	0.4	417,455	437,538	435,431	2	5	decelerating	-0.06	null	74.45

White Space Finder in Pacific Northwest States, US

Free sample dataset from BeamStation

The "White Space Finder in Pacific Northwest States, US" dataset highlights specific markets within the Pacific Northwest where consumer demand is strong while direct competition remains limited. Each of the 79 records represents a location that meets a stringent set of criteria indicating high activity sentiment and sparse supplier presence. Updated weekly, the dataset provides a current view of emerging opportunities for businesses seeking to enter underserved areas. Analysts, product managers, and expansion teams can use this information to identify promising sites for new ventures, assess market entry risk, and prioritize resources toward regions with the greatest potential for growth. The dataset is accessible via the provided URL for direct download or integration into workflows.

Dataset Details

Field	Value
Full dataset	79 records
Sample size	7 records
Location	Pacific Northwest States
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-pacific-northwest-states-us-190244")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 79 records and unmasked contact data is available at:

White Space Finder in Pacific Northwest States, US on BeamStation

License

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

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