Datasets:

beamstation
/

restaurant-verified-email-access-in-seattle-washington-us-342899

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 string	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github string	social_username_github string	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	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 float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
E7LADF7M	Hot Cakes Capitol Hill	Food and Drink	Restaurants	Dessert restaurant	Dessert restaurant, Cake shop, Chocolate shop	1650 E Olive Wy, Seattle, WA 98102	1650 E Olive Wy	Seattle	Washington	Capitol Hill	Capitol Hill	98,102	US	true	47.619904	-122.323833	America/Los_Angeles	(206) 25-***	2	null	true	true	null	true	Seattle	Washington	US	https	https://getyourhotcakes.com	getyourhotcakes.com	getyourhotcakes.com	com	6,383	2008-10-15	2026-10-15	Tucows Domains Inc.	"purchase_dataset@getyourhotcakes.com, purchase_dataset@getyourhotcakes.com, purchase_dataset@getyou(...TRUNCATED)	realdomain	4	4	0	Rustic-chic shop for homemade molten cakes, caramel sauces, creative cookies & ice cream.	true	true	4.25	1,610	{"1": 99, "2": 90, "3": 198, "4": 483, "5": 1464}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great dessert, Serves local specialty	Solo dining	Wheelchair accessible entrance, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Late-night food, Quick bite, Small pla(...TRUNCATED)	Brunch, Counter service, Dessert, Seating	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	6	2024-09-06	2026-02-02	578	64	27	578	578	64	64	https://www.instagram.com/getyourhotcakes	getyourhotcakes	https://www.facebook.com/getyourhotcakes	getyourhotcakes	https://twitter.com/getyourhotcakes	getyourhotcakes	https://www.tiktok.com/@getyourhotcakes	getyourhotcakes	https://www.linkedin.com/company/hot-cakes-confections-llc	hot-cakes-confections-llc	null	null	null	null	null	null	https://www.pinterest.com/getyourhotcakes	getyourhotcakes	21,826	0.15	null	0.16	0.15	0.15	3,523	4	1	2	0.81	null	null	null	null	null	null	null	2026-04-07T21:12:32.961071+00:00	2.96	2.68	0	2,130.21	18.5	50.4244	3.12	85	100	80.7	0.6104	null	0.1175	0.151	0.1705	0.9112	0.946	0.8831	55.9	58.5	null	null	null	47.37	15.79	36.84	53.85	11.54	34.62	57.14	10.71	32.14	stable	declining	null	-2.6	-0.053	-4.4	19	26	28	46.2	171.4	-100	68.2	9.5	76	83	63.5	44	75	4,141	105	223	18,994	288	7,809	792,684	9,554	7,996	75	61,277	101	57,899	215,086	101	40,172	119,433	101	88,903	695	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.82	0.1146	0.5672	-0.1146	-0.4562	0.7891	0.1637	0.3751	-0.1637	-0.2641	0.6755	0.1403	0.547	-0.1403	-0.436	100	100	100	61,277	378,295	57,899	0.9152	0.4878	0.9223	0.2853	0.9112	49.6	0.71	1,147	10.1	0.6548	-9.8	-0.6	1,177	-8.6	-0.0444	215,086	480,548	40,172	0.7094	0.3588	0.9469	0.2385	0.946	50.2	0.6	2,102	8.1	0.7432	-10.4	-0.49	222	-6.6	-0.1328	119,433	197,171	88,903	0.838	Strong	0.7346	0.8815	0.6066	0.8831	Strong	54.9	1.43	1,957	18	Market Leader	0.7292	-15.1	-1.32	367	-16.5	-0.1188	101	101	101	678	151	competitive	0.0199	31.83	9	78	13	2,568	1,008	competitive	0.0109	1.27	4	85	11	0	7,640	5,029	competitive	0.0117	0.32	1	61	38	0.1483	0.5855	-0.1483	-0.4745	100	101	1,803	2,164	119	0.452	0.3176	0.9643	0.2634	0.4656	51.4	0.78	2,103	11.5	0.7707	-11.6	-0.67	221	-10	-0.1603	competitive	0.0109	0.27	5	78	17	0.5654	3.32	0.7	0.2589	0.6161	-0.2589	-0.5051	100	101	9,918	13,131	659	0.4414	0.2471	0.963	0.2533	0.5403	53.6	1.06	2,383	14.9	0.823	-13.8	-0.95	-59	-13.4	-0.2126	competitive	0.0097	0.5643	1.1	0.07	0.5396	0.059	0.2307	-0.059	-0.1197	791,801	41.1	0.94	531	20.4	0.4595	-1.3	-0.83	1,793	0.1509	0.4614	0.353	0.9623	0.3051	0.6065	424,227	0.5792	-18.9	492,916	29,803	44.5	8.8	46.7	791,802	988	51.5	4.27	242	19.3	0.5736	6.6	-0.25	1,368	-0.2384	0.5451	0.2057	0.997	0.3688	0.2138	446	64.66	-37.57	0.2503	988	1.36	7,370	2,003	0.2854	2,853.74	0.13	77,053	43,479	0.0309	309.26	3.94	99.01	1.2	99.01	1.38	99.01	1.19	99.01	0.93	99.01	-38.7	-4.14	714	-79.2	-62.5	null	null	null	null	null	-0.15	39,418	-0.054	0.79	61,277	0.915	-0.25	160,297	-0.213	0.68	215,086	0.709	0.01	-6,503	0.019	0.82	119,433	0.838	-0.13	1,065	-0.32	0.57	1,803	0.452	-0.21	6,874	-0.382	0.54	9,918	0.441	0.6104	null	null	1,610	0	0	0	0	decelerating	0.1	0.7	3	3	27	99	0.557	0.57	0.571	0.5	0.571	331,227	345,950	344,596	2	5	decelerating	-0.53	null	81.3
NCQHR4RJ	W Living Room	Food and Drink	Restaurants	Restaurant	Restaurant, American restaurant, Bar	1112 4th Ave, Seattle, WA 98101	1112 4th Ave	Seattle	Washington	Central Business District	Downtown	98,101	US	true	47.607395	-122.333708	America/Los_Angeles	(206) 26-***	2	OPERATIONAL	true	true	null	true	Seattle	Washington	US	https	https://livingroombarseattle.com	livingroombarseattle.com	livingroombarseattle.com	com	89	2026-01-08	2027-01-08	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@stanford.edu, purchase_dat(...TRUNCATED)	null	257	239	18	null	true	false	4.27	78	{"1": 7, "2": 0, "3": 5, "4": 16, "5": 48}	Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great wine list	Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Happy hour food, Hard liquor, Late-night food,(...TRUNCATED)	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Cozy, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	null	false	true	purchase_dataset@	true	true	9	2025-09-22	2025-10-31	197	158	36	197	197	158	158	https://www.instagram.com/marriotthotels	marriotthotels	https://www.facebook.com/marriott	marriott	https://twitter.com/marriott	marriott	null	null	https://www.linkedin.com/in/neva-siers-828b28253	neva-siers-828b28253	https://www.youtube.com/marriott	marriott	https://github.com/mhub-marriott-employee-login-guide	mhub-marriott-employee-login-guide	null	null	https://www.pinterest.com/marriottbonvoy	marriottbonvoy	706,504	0.13	null	null	0.2	0.13	528	null	null	null	null	null	null	null	null	https://qrco.de/bbtkxo	null	null	2026-04-07T21:07:05.161984+00:00	95.86	1.43	0	2,862.44	10	50.4244	3.32	85.4	63.3	83.3	0.6112	null	-0.1105	0.0256	0.0256	0.9459	0.8967	0.9079	44.5	51.3	null	null	null	0	50	50	25	25	50	25	25	50	stable	declining	null	-6.8	-0.1361	-13.3	2	4	4	0	100	-100	66	37.4	72	67	56.1	44	1,843	4,085	3,992	10,589	18,697	20,609	491,618	780,966	852,986	527,891	1,843	89,494	101	14,776	114,877	101	64,979	148,389	101	127,398	684	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.7591	0.1553	0.58	-0.1553	-0.6905	0.7589	0.2304	0.4862	-0.2304	-0.5967	0.7904	0.1062	0.4981	-0.1062	-0.6086	100	100	100	89,494	457,477	14,776	0.877	0.3801	0.9802	0.1933	0.9459	48.4	0.55	1,816	8	0.69	-10.5	-0.36	-1,741	-4	-0.0788	114,877	304,515	64,979	0.8448	0.5939	0.9143	0.4973	0.8967	52.7	1.01	1,818	14.3	0.7078	-14.8	-0.82	-1,743	-10.3	-0.0966	148,389	271,112	127,398	0.7988	Strong	0.6351	0.8301	0.5463	0.9079	Strong	53.8	1.14	1,766	15.7	Strong	0.7402	-15.9	-0.95	-1,691	-11.7	-0.129	101	101	101	661	67	competitive	0.0004	31.83	10	82	8	2,435	1,002	competitive	0.0004	1.27	6	69	25	0	7,322	5,032	competitive	0.0004	0.32	0	70	30	0.1383	0.5872	-0.1383	-0.6977	100	101	1,995	1,533	2,495	0.3942	0.5292	0.2434	0.555	0.4681	51.3	0.75	2,107	11	0.7702	-13.4	-0.56	-2,032	-7	-0.159	competitive	0.0004	0.27	5	79	16	0.3895	3.32	0.7	0.2501	0.6198	-0.2501	-0.7303	100	101	10,604	9,018	13,952	0.4033	0.4889	0.217	0.5041	0.542	53.1	0.98	2,342	14.1	0.8225	-15.2	-0.79	-2,267	-10.1	-0.2113	competitive	0.0003	0.5643	1.1	0.07	0.3731	0.059	0.2307	-0.059	-0.3412	791,801	41.1	0.94	531	20.4	0.4595	-3.2	-0.75	-456	0.1517	0.4096	0.476	0.3267	0.5103	0.6076	465,288	0.4046	-16.4	409,027	531,971	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	-4.4	-0.49	-343	-0.1603	0.3093	0.1373	0.2899	0.4905	0.2498	1,667	64.39	-17.64	0.2688	2,419	1.36	7,370	2,003	0.2859	2,858.72	0.13	77,053	43,479	0.0304	303.99	0	99.01	0	99.01	0	99.01	0	99.01	0	99.01	-29.7	-4.07	-2	-79.1	-5.4	null	null	null	null	null	-0.19	71,567	-0.098	0.76	89,303	0.877	-0.1	38,948	-0.049	0.79	114,148	0.845	-0.07	30,261	-0.031	0.76	147,090	0.799	0.02	185	-0.051	0.39	1,995	0.394	-0.01	1,088	-0.053	0.37	10,604	0.403	0.6112	null	null	78	0.03	1	0.429	0.43	stable	0.03	0.23	1	1	3	14	0.507	0.515	0.517	0.429	0.43	253,363	266,224	265,236	117	681	stable	0.03	null	83.12
Z9WDXWUZ	Cafe Paloma	Food and Drink	Restaurants	Mediterranean restaurant	Mediterranean restaurant, Turkish restaurant	93 Yesler Wy, Seattle, WA 98104	93 Yesler Wy	Seattle	Washington	Pioneer Square	Pioneer Square	98,104	US	true	47.601552	-122.33472	America/Los_Angeles	(206) 40-***	3	null	true	true	null	true	Seattle	Washington	US	http	http://cafepaloma.com	cafepaloma.com	cafepaloma.com	com	9,198	2001-01-30	2027-08-06	GoDaddy.com, LLC	purchase_dataset@cafepaloma.com	realdomain	1	1	0	Mediterranean hangout for meze & Turkish coffee, plus rotating exhibits of fine-art photos.	true	true	4.65	580	{"1": 17, "2": 5, "3": 25, "4": 73, "5": 458}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert, Great tea selection, Great wine list, Live music	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Small plates, Vegan o(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy	Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Has changing table(s)	true	true	purchase_dataset@	true	true	4	2024-12-07	2026-03-21	486	17	42	486	486	17	17	https://www.instagram.com/palomacoffeebakery	palomacoffeebakery	https://www.facebook.com/p/cafe-paloma-100062337620711	cafe-paloma-100062337620711	null	null	https://www.tiktok.com/@cafepaloma	cafepaloma	https://www.linkedin.com/company/caf-paloma	caf-paloma	null	null	null	null	null	null	null	null	21,859	1.3	0.63	1.75	1.3	1.3	764	26	3	57	1.13	null	null	null	1.3	null	null	null	2026-04-07T12:30:40.476341+00:00	2.97	1.43	0	2,894.5	17.4	50.4244	3.31	93	92.1	92.1	0.8413	null	0.974	0.9713	0.9713	0.9223	0.9013	0.9117	98.7	98.6	null	null	null	100	0	0	100	0	0	100	0	0	stable	stable	null	0.1	0.0027	0.1	4	9	9	-11.1	77.8	-100	82.6	27.4	72	100	97.8	100	697	1,638	1,260	4,465	7,860	7,183	203,120	348,545	293,625	217,536	697	113,384	101	37,564	145,776	101	57,528	154,005	101	169,210	160	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.7357	0.1889	0.5684	-0.1889	0.4108	0.7496	0.2162	0.4462	-0.2162	0.533	0.7513	0.1212	0.4971	-0.1212	0.4821	100	100	100	113,384	425,710	37,564	0.8443	0.4234	0.9496	0.2498	0.9223	47.5	0.61	1,315	9.3	0.6646	-0.8	-0.49	-740	-6.9	0.1767	145,776	367,981	57,528	0.8026	0.51	0.924	0.4043	0.9013	51.7	0.84	1,900	11.6	0.7104	-5	-0.72	-1,325	-9.2	0.1309	154,005	280,264	169,210	0.7911	Strong	0.6232	0.7744	0.549	0.9117	Strong	53.6	1.11	1,605	15.8	Strong	0.7421	-6.9	-0.99	-1,030	-13.4	0.0992	101	101	101	630	27	competitive	0.0044	31.83	12	82	6	2,369	1,031	competitive	0.003	1.27	4	76	20	0	7,258	5,164	competitive	0.0036	0.32	1	70	29	0.1483	0.5829	-0.1483	0.3963	100	101	1,087	2,077	1,122	0.6685	0.3454	0.66	0.413	0.9019	51.4	0.78	2,106	11.4	0.7709	-4.7	-0.66	-1,531	-9	0.0704	competitive	0.0027	0.27	5	78	17	0.569	3.32	0.7	0.2419	0.6225	-0.2419	0.3567	100	101	6,335	10,968	7,876	0.6424	0.3642	0.5584	0.3824	0.9127	53.5	1.01	2,317	14.7	0.823	-6.8	-0.89	-1,742	-12.3	0.0183	competitive	0.0025	0.5643	1.1	0.07	0.5337	0.059	0.2307	-0.059	0.7485	791,801	41.1	0.94	531	20.4	0.4595	5.6	-0.82	44	0.3818	0.6685	0.3775	0.7163	0.4277	0.9191	260,123	0.5955	-18	476,774	224,312	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	13.4	0.69	159	0.2884	0.806	0.7291	0.7308	0.3768	0.8701	464	64.39	29.99	0.9053	2,419	1.36	7,370	2,003	0.2857	2,857.35	0.13	77,053	43,479	0.0301	300.7	0.19	99.01	0.09	99.01	0.13	99.01	0.07	99.01	0.06	99.01	-32	-4.54	-4	-89.8	0	null	null	null	null	null	-0.19	86,568	-0.119	0.75	113,350	0.844	-0.16	87,785	-0.116	0.75	145,594	0.803	-0.08	28,069	-0.028	0.74	153,715	0.791	-0.19	380	-0.109	0.57	1,087	0.669	-0.25	3,418	-0.188	0.53	6,335	0.642	0.8413	null	null	580	0.03	1	0.283	0.273	decelerating	0.03	0.23	1	1	6	61	0.507	0.515	0.517	0.283	0.273	253,363	266,224	265,236	19	68	decelerating	-0.2	null	95.65
FUMK3SGZ	Skalka	Food and Drink	Restaurants	Georgian restaurant	"Georgian restaurant, Bakery, Breakfast restaurant, Brunch restaurant, Cafe, Lunch restaurant, Resta(...TRUNCATED)	77 Spring St, Seattle, WA 98104	77 Spring St	Seattle	Washington	Central Business District	Downtown	98,104	US	true	47.604923	-122.337771	America/Los_Angeles	(206) 40-***	2	null	true	true	null	true	Seattle	Washington	US	https	https://skalkaseattle.com	skalkaseattle.com	skalkaseattle.com	com	2,388	2019-09-23	2026-09-23	Squarespace Domains II LLC	purchase_dataset@skalkaseattle.com, purchase_dataset@skalkaseattle.com	realdomain	2	0	2	Traditional khachapuri served in a casual breakfast & lunch spot steps from Pike Place Market.	true	true	4.63	2,509	{"1": 71, "2": 50, "3": 115, "4": 323, "5": 2171}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible restroom, Wheelchair accessible seating	Coffee, Comfort food, Healthy options, Organic dishes, Small plates, Vegetarian options, Wine	Breakfast, Brunch, Lunch, Dinner, Counter service, Seating	Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	Family-friendly, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	5	2024-10-04	2026-02-01	550	65	89	550	550	65	65	https://www.instagram.com/skalkacafe	skalkacafe	https://www.facebook.com/skalkacafe	skalkacafe	https://twitter.com/skalkacafe	skalkacafe	https://www.tiktok.com/@skalkacafe	skalkacafe	null	null	null	null	null	null	null	null	https://www.pinterest.com/skalkacafe	skalkacafe	12,654	0.48	null	0.13	0.43	0.43	546	93	106	1,093	1.4	null	null	null	null	https://skalkaseattle.com/menu	null	null	2026-04-07T12:18:42.540631+00:00	1.72	1.43	0	2,876.83	13.9	50.4244	3.28	92.6	100	90.9	0.7845	null	0.3597	0.3611	0.353	0.9273	0.8956	0.9156	68	67.7	null	null	null	86.36	2.27	11.36	86.15	1.54	12.31	85.51	2.9	11.59	stable	stable	null	0.3	0.0067	0.4	44	65	69	35.4	155.1	-100	80.4	27.4	80	100	74.2	100	21	1,754	23	49	8,326	59	2,356	367,187	2,948	2,442	21	94,244	101	17,355	120,551	101	68,309	154,005	101	175,741	179	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.7307	0.1802	0.5691	-0.1802	-0.2094	0.7703	0.2251	0.4739	-0.2251	-0.1142	0.7745	0.1247	0.4967	-0.1247	-0.137	100	100	100	94,244	420,715	17,355	0.8705	0.4303	0.9767	0.215	0.9273	48.2	0.62	1,715	8.5	0.6697	-3.3	-0.46	988	-5.6	0.1148	120,551	333,509	68,309	0.8374	0.5554	0.9098	0.4654	0.8956	52.5	0.93	1,787	13.3	0.7072	-7.6	-0.77	916	-10.4	0.0773	154,005	286,137	175,741	0.7911	Strong	0.6152	0.7658	0.5378	0.9156	Strong	53.6	1.09	1,584	15.4	Strong	0.7443	-8.7	-0.93	1,119	-12.5	0.0402	101	101	101	582	26	competitive	0.0155	31.83	10	82	8	2,360	1,012	competitive	0.0149	1.27	4	73	23	0	7,100	5,002	competitive	0.0168	0.32	1	71	28	0.1483	0.5893	-0.1483	-0.2296	100	101	1,295	1,770	78	0.607	0.449	0.9767	0.4587	0.8141	51.5	0.78	2,091	11.5	0.7704	-6.6	-0.62	612	-8.6	0.0141	competitive	0.0128	0.27	5	78	17	0.6705	3.32	0.7	0.2578	0.619	-0.2578	-0.2593	100	101	7,399	11,344	417	0.5825	0.3453	0.9767	0.3566	0.8352	53.8	1.06	2,353	15.4	0.8225	-8.9	-0.9	350	-12.5	-0.038	competitive	0.0114	0.5643	1.1	0.07	0.6296	0.059	0.2307	-0.059	0.129	791,801	41.1	0.94	531	20.4	0.4595	3.8	-0.78	2,172	0.325	0.6139	0.4461	0.9727	0.4661	0.8556	303,207	0.6712	-17.5	429,598	21,630	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	13.5	0.4	2,088	-0.0429	0.8089	0.586	0.9917	0.4467	0.3408	456	64.39	-29.09	0.2304	2,419	1.36	7,370	2,003	0.2837	2,837.11	0.13	77,053	43,479	0.0305	305.35	2.41	99.01	2.22	99.01	2.82	99.01	1.63	99.01	1.29	99.01	-40.2	-4.47	194	-88	-48.8	null	null	null	null	null	-0.17	69,180	-0.095	0.77	94,237	0.871	-0.13	59,260	-0.076	0.77	120,536	0.837	-0.1	43,168	-0.05	0.73	153,979	0.791	-0.24	1,211	-0.366	0.67	1,295	0.607	-0.3	7,094	-0.399	0.63	7,399	0.583	0.7845	null	null	2,509	0.03	1	0	1	decelerating	0.03	0.23	1	1	48	229	0.507	0.515	0.517	0	1	253,363	266,224	265,236	1	1	decelerating	-0.4	null	88.84
3VTYE5XM	Taqueria Tequila2	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	11064 Lake City Way NE, Seattle, WA 98125	11064 Lake City Way NE	Seattle	Washington	Lake City	Meadowbrook	98,125	US	true	47.709875	-122.300293	America/Los_Angeles	(206) 26-***	1	null	true	true	null	true	Seattle	Washington	US	https	https://taqueriatequila2.com	taqueriatequila2.com	taqueriatequila2.com	com	795	2024-02-02	2027-02-02	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.38	65	{"1": 5, "2": 3, "3": 3, "4": 5, "5": 55}	Delivery, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Comfort food, Quick bite, Small plates	Lunch, Dinner, Dessert, Seating	Restroom	Casual, Cozy	Family-friendly	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2025-02-26	2026-02-15	405	51	98	405	405	51	51	https://www.instagram.com/taqueriatequila2	taqueriatequila2	https://www.facebook.com/p/taqueria-tequila-lake-city-61556932380845	taqueria-tequila-lake-city-61556932380845	null	null	https://www.tiktok.com/@taqueriachuyita	taqueriachuyita	null	null	null	null	null	null	null	null	null	null	117	0.15	null	null	0.13	0.15	238	13,300	78	934,300	10	null	5.16	5.55	10.12	null	null	null	2026-04-07T11:59:12.221951+00:00	1.8	1.43	0	3,111.77	23.2	50.4244	3.32	87.6	60.7	83.1	0.6363	null	0.9884	0.9907	0.744	0.8764	0.8711	0.8852	99.4	87.2	null	null	null	100	0	0	100	0	0	84.62	15.38	0	stable	improving	null	12.2	0.2444	14	8	10	13	60	146.2	-100	75.2	27.4	76	83	94.1	100	1,894	3,488	4,158	10,830	15,807	21,446	505,857	662,959	891,723	543,549	1,894	511,389	11	100,166	117,775	101	297,365	254,619	101	156,999	567	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.6273	0.1638	0.4857	-0.1638	0.5027	0.502	0.1504	0.4968	-0.1504	0.4916	0.7105	0.1491	0.5381	-0.1491	0.4503	100	10	100	511,389	446,682	100,166	0.3093	0.3952	0.8656	0.3725	0.8764	38.9	0.57	954	12.1	0.6298	16.8	1.57	-889	29.4	0.0065	117,775	270,192	297,365	0.8411	0.6396	0.6074	0.622	0.8711	52.6	1.11	999	18.7	0.694	3.1	1.03	-934	22.8	-0.0577	254,619	424,177	156,999	0.653	Average	0.4296	0.7907	0.3389	0.8852	Strong	51.2	0.74	1,647	10.2	Average	0.7301	4.5	1.4	-1,582	31.3	-0.0938	11	101	101	642	16	moderate	0.0068	3.18	50	50	0	3,724	1,091	competitive	0.0007	1.27	5	67	27	1	7,669	5,004	competitive	0.0004	0.32	2	80	18	0.1483	0.5921	-0.1483	0.3963	100	101	454	832	2,430	0.8616	0.7478	0.2631	0.772	0.5074	51.6	0.78	2,085	11.5	0.7713	4.1	1.36	-2,020	30	-0.135	competitive	0.0003	0.27	4	79	17	0.6479	3.32	0.7	0.2487	0.6216	-0.2487	0.3668	100	101	3,015	5,639	14,488	0.8292	0.6827	0.1871	0.7537	0.5771	53.6	1.06	2,360	14.9	0.8236	2.1	1.08	-2,295	26.6	-0.1873	competitive	0.0003	0.5643	1.1	0.07	0.5926	0.059	0.2307	-0.059	0.7577	791,801	41.1	0.94	531	20.4	0.4595	14.6	1.2	-466	0.1768	0.8623	0.6799	0.3112	0.7253	0.6413	107,992	0.6422	21.1	252,549	544,099	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	12.2	0.39	-356	0.091	0.7672	0.5782	0.2696	0.7188	0.5017	555	64.39	16.86	0.462	2,419	1.36	7,370	2,003	0.2829	2,828.88	0.13	77,053	43,479	0.0306	306.28	0.46	909.09	0	99.01	0	99.01	0	99.01	0	99.01	-23.2	-2.24	0	-41.6	-39.1	null	null	null	null	null	-0.27	341,133	-0.455	0.5	511,388	0.309	-0.08	-1,772	0.006	0.71	117,754	0.841	-0.18	112,567	-0.145	0.63	254,548	0.653	0.11	-242	0.076	0.65	454	0.862	0.01	197	-0.008	0.59	3,015	0.829	0.6363	null	null	65	0.03	1	0.422	0.407	decelerating	0.03	0.23	1	1	9	24	0.507	0.515	0.517	0.422	0.407	253,363	266,224	265,236	72	467	decelerating	0	null	81.54
CHL4DJS7	Alebrijes Kitchen	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Oaxacan restaurant	850 NW 85th St, Seattle, WA 98117	850 NW 85th St	Seattle	Washington	Crown Hill	Crown Hill	98,117	US	true	47.690781	-122.367433	America/Los_Angeles	(206) 73-***	2	null	true	true	null	true	Seattle	Washington	US	https	https://alebrijes-kitchen.com	alebrijes-kitchen.com	alebrijes-kitchen.com	com	1,405	2022-06-02	2028-06-02	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.72	231	{"1": 2, "2": 8, "3": 9, "4": 13, "5": 207}	Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great cocktails, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Small plates, Vegetarian options, Wine(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom	Casual, Cozy	null	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2024-04-05	2025-10-11	732	178	24	732	732	178	178	https://www.instagram.com/alebrijeskitchensea	alebrijeskitchensea	https://www.facebook.com/alebrijeskitchenbar	alebrijeskitchenbar	https://twitter.com/conniemosquera1	conniemosquera1	null	null	https://www.linkedin.com/in/diana-castillo-diaz-22a14621b	diana-castillo-diaz-22a14621b	https://www.youtube.com/channel/ucyagusstoktz45vyd4hw9bq	ucyagusstoktz45vyd4hw9bq	null	null	null	null	null	null	957	1.62	null	null	1.46	1.42	47	null	null	null	null	null	null	null	null	null	null	null	2026-04-07T11:59:12.122400+00:00	0.13	1.43	0.6	2,906.93	13.9	50.4244	3.32	94.4	78.8	91.3	0.8403	null	0.9639	0.7901	0.7901	0.6743	0.951	0.8502	98.2	89.5	null	null	null	100	0	0	87.5	12.5	0	87.5	12.5	0	stable	improving	null	8.7	0.1738	9.7	5	8	8	25	150	-100	80.4	27.4	80	83	96.6	100	1,333	1,273	2,665	8,100	6,170	14,185	363,181	282,368	571,722	388,804	1,333	260,390	53	391,020	153,810	101	170,879	321,369	101	55,323	89	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.5998	0.132	0.517	-0.132	0.4469	0.5926	0.0822	0.3369	-0.0822	0.627	0.7005	0.1954	0.5393	-0.1954	0.4246	100	52	100	260,390	265,961	391,020	0.6452	0.6395	0.4755	0.6558	0.6743	43.7	1	487	20.4	0.5393	0.8	-0.85	-255	-17.8	0.301	153,810	371,807	170,879	0.7918	0.5048	0.7744	0.4753	0.951	51.5	0.83	1,286	13.6	0.7474	-7	-0.68	-1,054	-11	0.0929	321,369	502,837	55,323	0.563	Average	0.3224	0.9262	0.1911	0.8502	Strong	50.2	0.6	2,175	7.4	Average	0.7176	-5.7	-0.45	-1,943	-4.8	0.1227	53	101	101	764	27	competitive	0.0091	16.55	28.8	67.3	3.8	3,478	1,073	competitive	0.0018	1.27	5	75	19	1	8,187	5,023	competitive	0.0011	0.32	4	86	10	0.1444	0.5889	-0.1444	0.375	100	101	1,315	1,822	1,874	0.5988	0.4302	0.432	0.426	0.901	51.4	0.78	2,108	11.5	0.7706	-6.9	-0.63	-1,876	-8.9	0.0697	competitive	0.0011	0.27	5	78	17	0.4982	3.32	0.7	0.2621	0.6142	-0.2621	0.3497	100	101	7,399	10,063	11,252	0.5825	0.4219	0.3689	0.402	0.9123	53.4	1.01	2,326	14.7	0.8224	-8.9	-0.86	-2,094	-12.1	0.0179	competitive	0.001	0.5643	1.1	0.07	0.4702	0.059	0.2307	-0.059	0.7332	791,801	41.1	0.94	531	20.4	0.4595	3.4	-0.79	-299	0.3808	0.6015	0.4329	0.5078	0.4451	0.9183	313,060	0.5228	-17.8	438,548	388,952	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	8.1	0.14	-190	0.3063	0.6104	0.3925	0.4814	0.3983	0.8916	935	64.39	27.78	0.8259	2,419	1.36	7,370	2,003	0.2861	2,860.59	0.13	77,053	43,479	0.0302	301.91	0.82	188.68	0.03	99.01	0.01	99.01	0.01	99.01	0.01	99.01	-39.6	-4.57	1	-88.7	-41.1	null	null	null	null	null	0.09	-62,129	0.09	0.59	260,373	0.645	-0.19	81,688	-0.107	0.7	153,607	0.792	-0.22	179,317	-0.235	0.6	320,764	0.563	-0.28	1,176	-0.357	0.5	1,315	0.599	-0.3	6,886	-0.387	0.47	7,399	0.583	0.8403	null	null	231	0.03	1	0.422	0.407	decelerating	0.03	0.23	1	1	8	46	0.507	0.515	0.517	0.422	0.407	253,363	266,224	265,236	72	467	decelerating	0	null	93.04
HWJAM2S8	Quere Tacos y Carnitas	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	1935 N Northgate Way, Seattle, WA 98133	1935 N Northgate Way	Seattle	Washington	Licton Springs	North College Park	98,133	US	true	47.708245	-122.334469	America/Los_Angeles	(425) 58-***	2	OPERATIONAL	true	true	null	true	Seattle	Washington	US	https	https://queretacosycarnitas.com	queretacosycarnitas.com	queretacosycarnitas.com	com	1,001	2023-07-11	2026-07-11	Tucows Domains Inc.	null	null	0	0	0	null	true	false	4.87	93	{"1": 0, "2": 2, "3": 0, "4": 6, "5": 86}	Curbside pickup, Delivery, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance	Comfort food, Quick bite, Small plates	Lunch, Dinner	null	Casual	Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	false	true	purchase_dataset@	true	true	2	2021-10-15	2024-06-24	1,635	652	18	1,635	1,635	652	652	null	null	https://www.facebook.com/p/quere-tacos-carnitas-100095041471919	quere-tacos-carnitas-100095041471919	null	null	https://www.tiktok.com/@alvarez.6669	alvarez.6669	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	78	6	147	3.45	null	null	null	null	null	null	null	2026-04-07T11:59:12.103728+00:00	0.01	1.43	2.1	2,957.35	34.8	50.4244	3.32	97.4	65.8	97.8	0.9386	null	1	1	1	0.1607	0.9205	0.8815	100	100	null	null	null	100	0	0	100	0	0	100	0	0	stable	stable	null	0	0	0	6	7	7	71.4	242.9	-100	79.8	27.4	68	83	99.3	100	1,774	706	3,800	10,290	3,349	19,675	475,272	168,867	811,282	510,046	1,774	543,430	58	369,692	91,489	101	330,189	279,795	101	152,127	27	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.5882	0.1591	0.5126	-0.1591	0.4874	0.4266	0.08	0.1494	-0.08	0.8506	0.7274	0.143	0.5354	-0.143	0.4646	100	57	100	543,430	323,978	369,692	0.2671	0.5617	0.5041	0.5513	0.1607	38.2	0.84	509	16.9	0.3702	6.6	-0.36	-417	-7.1	0.5684	91,489	231,557	330,189	0.8769	0.6913	0.5641	0.6785	0.9205	53.7	1.24	937	21.1	0.7227	-8.9	-0.76	-845	-11.3	0.2159	279,795	491,041	152,127	0.6186	Average	0.3387	0.7973	0.2649	0.8815	Strong	50.8	0.62	1,665	8.7	Average	0.7285	-6	-0.14	-1,573	1.1	0.2101	58	101	101	733	43	competitive	0.0032	18.14	54.4	40.4	5.3	3,251	1,031	competitive	0.001	1.27	4	63	32	1	7,171	5,028	competitive	0.0006	0.32	3	82	15	0.1383	0.5872	-0.1383	0.4128	100	101	1,278	1,175	2,402	0.6085	0.6434	0.2707	0.6524	0.9682	51.3	0.75	2,107	11	0.7702	-6.5	-0.27	-2,015	-1.2	0.1684	competitive	0.0004	0.27	5	79	16	0.5176	3.32	0.7	0.2487	0.6176	-0.2487	0.3824	100	101	7,167	7,873	14,202	0.5941	0.557	0.2029	0.5768	0.9757	53.3	1.02	2,373	14.3	0.8225	-8.5	-0.54	-2,281	-4.5	0.1161	competitive	0.0004	0.5643	1.1	0.07	0.4656	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	3.7	-0.46	-439	0.4791	0.6108	0.5641	0.3513	0.5748	0.9763	305,701	0.519	-10.6	344,200	512,512	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	14.1	0.76	-328	0.4015	0.8271	0.7357	0.3147	0.6108	0.9644	413	64.39	27.37	0.8093	2,419	1.36	7,370	2,003	0.2859	2,858.72	0.13	77,053	43,479	0.0308	307.96	0.1	172.41	0.01	99.01	0	99.01	0	99.01	0	99.01	-38.3	-4.39	-1	-88	-39.1	null	null	null	null	null	0.15	-67,351	0.099	0.43	543,408	0.267	-0.08	11,678	-0.011	0.73	91,200	0.877	-0.22	129,882	-0.169	0.59	278,879	0.619	-0.22	1,062	-0.324	0.52	1,278	0.609	-0.27	6,381	-0.359	0.47	7,167	0.594	0.9386	null	null	93	0.03	1	0.422	0.407	decelerating	0.03	0.23	1	1	7	33	0.507	0.515	0.517	0.422	0.407	253,363	266,224	265,236	72	467	decelerating	-0.2	null	97.75
JX4TK8VD	SMA5H	Food and Drink	Restaurants	Hamburger restaurant	Hamburger restaurant, Caterer, Fast food restaurant, Halal restaurant	7101 Martin Luther King Jr Way S UNIT 107, Seattle, WA 98118	7101 Martin Luther King Jr Way S UNIT 107	Seattle	Washington	New Holly	Holly Park	98,118	US	true	47.538755	-122.28305	America/Los_Angeles	(206) 72-***	2	null	true	true	null	true	Seattle	Washington	US	https	https://sma5h.com/sma5h-f24bqi	sma5h.com/sma5h-f24bqi	sma5h.com	com	822	2024-01-06	2031-01-06	NameCheap, Inc.	purchase_dataset@gmail.com, purchase_dataset@owner.com	null	2	1	1	null	true	false	4.66	296	{"1": 8, "2": 8, "3": 12, "4": 23, "5": 250}	Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Comfort food, Happy hour food, Late-night food, Organic dishes, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating	Gender-neutral restroom, Restroom, Wi-Fi	Casual	Family-friendly, LGBTQ+ friendly, Transgender safespace	Accepts reservations	Checks, Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2024-03-02	2025-10-27	766	162	45	766	766	162	162	https://www.instagram.com/sma5h.burgers	sma5h.burgers	null	null	https://twitter.com/sma5h	sma5h	https://www.tiktok.com/@sma5h.burgers	sma5h.burgers	https://www.linkedin.com/in/salamat-sales-a1ba6b330	salamat-sales-a1ba6b330	null	null	null	null	null	null	null	null	1,388	6.61	null	null	1.01	5.41	44	109	3	111	1.46	null	null	null	null	https://sma5h.com/menu	null	null	2026-04-07T11:12:41.298013+00:00	0.19	6.25	0.3	2,252.77	27.8	50.4244	3.14	93.2	82.4	90.9	0.8204	null	0.6737	0.7145	0.7145	0.691	0.7789	0.8963	83.7	85.7	null	null	null	85.71	14.29	0	87.5	12.5	0	87.5	12.5	0	stable	stable	null	-2	-0.0408	-2.3	7	8	8	75	250	-100	82	45.1	84	83	86.5	100	1,162	1,592	2,263	7,195	7,677	12,339	323,067	341,804	498,533	345,855	1,162	284,611	47	641,965	52,385	101	506,542	230,480	101	76,411	151	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.7014	0.1408	0.5409	-0.1408	0.1328	0.5082	0.1455	0.321	-0.1455	0.3527	0.7415	0.1715	0.4503	-0.1715	0.2234	100	46	100	284,611	193,435	641,965	0.6126	0.7373	0.1398	0.7649	0.691	43.2	1.23	239	24.8	0.545	3.6	-1.03	53	-20.7	0.2754	52,385	73,414	506,542	0.9292	0.9013	0.3316	0.9241	0.7789	56	1.96	648	33.7	0.6527	-9.2	-1.76	-356	-29.6	0.1677	230,480	351,933	76,411	0.6852	Average	0.5262	0.8981	0.4274	0.8963	Strong	51.6	0.9	2,032	12.2	Strong	0.735	-4.8	-0.7	-1,740	-8.1	0.0854	47	101	101	485	34	competitive	0.0259	14.64	43.5	43.5	13	3,167	1,004	competitive	0.0045	1.27	12	42	45	1	8,831	5,378	competitive	0.0014	0.32	6	75	19	0.1483	0.5855	-0.1483	0.0882	100	101	1,071	1,587	1,669	0.6715	0.5089	0.495	0.5362	0.8738	51.4	0.78	2,103	11.5	0.7707	-4.6	-0.58	-1,811	-7.4	0.0497	competitive	0.0014	0.27	5	78	17	0.5698	3.32	0.7	0.2487	0.6176	-0.2487	0.0561	100	101	6,179	9,361	11,069	0.6507	0.4689	0.379	0.5015	0.888	53.3	1.02	2,373	14.3	0.8225	-6.5	-0.82	-2,081	-10.2	-0.0021	competitive	0.0012	0.5643	1.1	0.07	0.5146	0.059	0.2307	-0.059	0.443	791,801	41.1	0.94	531	20.4	0.4595	5.7	-0.74	-239	0.3609	0.6715	0.4834	0.5586	0.5128	0.8982	257,757	0.5812	-16.3	403,614	348,874	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	12.9	0.59	-125	0.287	0.7899	0.6944	0.5492	0.5054	0.8681	499	64.39	28.81	0.8664	2,419	1.36	7,370	2,003	0.2854	2,853.74	0.13	77,053	43,479	0.0308	307.96	6.72	212.77	0.2	99.01	0.02	99.01	0.02	99.01	0.02	99.01	-35.6	-4.47	-2	-87.1	-11.2	null	null	null	null	null	0.12	-131,552	0.184	0.51	284,611	0.613	0.12	-170,500	0.233	0.74	52,385	0.929	-0.17	127,152	-0.165	0.7	230,480	0.685	-0.2	786	-0.238	0.57	1,071	0.672	-0.25	5,141	-0.288	0.51	6,179	0.651	0.8204	null	null	296	0.1	3	0.784	0.771	stable	0.1	0.7	3	3	10	98	0.834	0.839	0.839	0.784	0.771	104,497	109,172	109,042	10	52	stable	-0.13	null	93.2
2M6L7H8Q	West Wings	Food and Drink	Restaurants	Chicken wings restaurant	Chicken wings restaurant, Sports bar	2329 California Ave SW, Seattle, WA 98116	2329 California Ave SW	Seattle	Washington	North Admiral	Admiral	98,116	US	true	47.582181	-122.386906	America/Los_Angeles	(206) 42-***	2	null	true	true	null	true	Seattle	Washington	US	http	http://westwingsseattle.com	westwingsseattle.com	westwingsseattle.com	com	1,493	2022-03-06	2027-03-06	GoDaddy.com, LLC	purchase_dataset@westwingsseattle.com	realdomain	1	1	0	null	true	false	4.54	173	{"1": 4, "2": 11, "3": 11, "4": 10, "5": 139}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Comfort food, Happy hour drinks, Hard liquor, Quick bite, Small plates, V(...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2025-10-13	2026-02-03	176	63	24	176	176	63	63	https://www.instagram.com/westwingsseattle	westwingsseattle	https://www.facebook.com/westwingsseattle	westwingsseattle	null	null	null	null	null	null	https://www.youtube.com/westseattleblog	westseattleblog	null	null	null	null	null	null	1,136	3.48	null	2.53	3.48	3.48	236	null	null	null	null	null	null	null	null	https://westwingsseattle.com/our-menu	null	null	2026-04-07T09:54:19.206455+00:00	0.15	2.68	0.5	2,187.23	37.1	50.4244	3.15	90.8	74.7	85.5	0.7421	null	0.8044	0.5068	0.5068	0.7293	0.9001	0.8837	90.2	75.3	null	null	null	100	0	0	85.71	14.29	0	85.71	14.29	0	stable	improving	null	14.9	0.2976	19.8	5	7	7	42.9	185.7	-100	76.9	27.4	76	83	89.5	100	1,494	2,386	3,058	8,960	11,050	16,154	405,216	471,950	654,217	433,972	1,494	45,415	29	167,061	180,216	101	51,168	208,674	101	161,990	303	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.6539	0.2007	0.5141	-0.2007	0.2438	0.866	0.0375	0.3989	-0.0375	0.359	0.7534	0.0983	0.521	-0.0983	0.2369	100	28	100	45,415	101,528	167,061	0.9371	0.8613	0.7758	0.8772	0.7293	50.5	1.59	781	30.7	0.5588	-6.3	-1.17	-608	-23.2	0.1833	180,216	322,292	51,168	0.7564	0.5702	0.9324	0.4622	0.9001	50.9	0.96	1,969	13.2	0.7097	-6.7	-0.54	-1,796	-5.7	0.0324	208,674	414,931	161,990	0.7155	Market Leader	0.4417	0.7841	0.3895	0.8837	Strong	52	0.76	1,630	11.3	Strong	0.7294	-7.8	-0.34	-1,457	-3.8	0.0127	29	101	101	376	9	competitive	0.0078	8.91	25	39.3	35.7	4,192	1,428	competitive	0.0009	1.27	6	73	21	0	7,030	5,001	competitive	0.0011	0.32	4	78	18	0.1483	0.5829	-0.1483	0.175	100	101	1,348	1,227	2,055	0.5895	0.6252	0.3772	0.6213	0.7381	51.4	0.78	2,106	11.4	0.7709	-7.2	-0.36	-1,933	-3.9	-0.0288	competitive	0.0008	0.27	5	78	17	0.5365	3.32	0.7	0.2487	0.6216	-0.2487	0.1363	100	101	7,659	8,191	12,613	0.5674	0.5393	0.2922	0.5443	0.7643	53.6	1.06	2,360	14.9	0.8236	-9.4	-0.64	-2,187	-7.4	-0.0815	competitive	0.0007	0.5643	1.1	0.07	0.4764	0.059	0.2307	-0.059	0.5272	791,801	41.1	0.94	531	20.4	0.4595	3.1	-0.52	-358	0.2826	0.5921	0.5556	0.4495	0.5596	0.7963	320,438	0.5384	-12.9	350,458	435,025	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	10	0.26	-248	0.1702	0.6919	0.4801	0.4181	0.5873	0.6419	739	64.39	19.73	0.5215	2,419	1.36	7,370	2,003	0.2857	2,857.35	0.13	77,053	43,479	0.0306	306.28	0.62	344.83	0.01	99.01	0.01	99.01	0.01	99.01	0.01	99.01	-32.5	-4.12	0	-78	-23.1	null	null	null	null	null	0.18	-76,722	0.107	0.87	45,415	0.937	-0.13	83,728	-0.109	0.75	180,216	0.756	-0.19	97,837	-0.125	0.65	208,674	0.716	-0.08	416	-0.122	0.54	1,348	0.59	-0.16	3,581	-0.196	0.48	7,659	0.567	0.7421	null	null	173	0.03	1	0.455	0.451	decelerating	0.03	0.23	1	1	7	49	0.507	0.515	0.517	0.455	0.451	253,363	266,224	265,236	4	22	decelerating	-0.07	null	87.79
8Z3MSVR7	Cafe Campagne	Food and Drink	Restaurants	French restaurant	French restaurant, Cafe, Fine dining restaurant	1600 Post Alley, Seattle, WA 98101	1600 Post Alley	Seattle	Washington	Seattle Waterfront	Downtown	98,101	US	true	47.609756	-122.341507	America/Los_Angeles	(206) 72-***	2	null	true	true	null	true	Seattle	Washington	US	http	http://cafecampagne.com	cafecampagne.com	cafecampagne.com	com	9,089	2001-05-19	2028-05-19	Register.com - Network Solutions, LLC	null	null	0	0	0	Casual French bistro serving a classic menu in a homey space with vintage posters.	true	true	4.48	1,312	{"1": 33, "2": 53, "3": 97, "4": 282, "5": 1039}	Outdoor seating, Takeout, Dine-in	Great cocktails, Great coffee, Great dessert, Great wine list	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Organic dishes, Priva(...TRUNCATED)	Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	"Brunch reservations recommended, Dinner reservations recommended, Accepts reservations, Usually a w(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	4	2024-08-23	2026-02-04	592	62	24	592	592	62	62	https://www.instagram.com/cafecampagne	cafecampagne	https://www.facebook.com/cafecampagne	cafecampagne	https://twitter.com/cafe_campagne	cafe_campagne	null	null	https://www.linkedin.com/company/cafe-campagne	cafe-campagne	null	null	null	null	null	null	null	null	4,440	0.97	null	0.24	0.24	0.24	1,481	null	null	null	null	null	null	null	null	https://cafecampagne.com/menu	https://opentable.com/restaurant/profile/4202	https://opentable.com/restaurant/profile/4202	2026-04-07T09:50:32.289162+00:00	0.6	5.71	0.2	2,881.15	17.4	50.4244	3.3	89.6	100	87.4	0.7336	null	0.1998	0.3087	0.3087	0.9386	0.9112	0.9047	60	65.4	null	null	null	66.67	33.33	0	74.07	22.22	3.7	74.07	22.22	3.7	stable	declining	null	-5.4	-0.1089	-8.3	12	27	27	-11.1	77.8	-100	77.8	36.8	60	100	68.6	100	116	2,778	172	363	12,704	498	13,208	538,238	16,354	13,658	116	107,771	101	11,896	109,474	101	76,790	126,837	101	195,110	391	2,590	5,532	14,659	32,180	734,279	1,460,619	734,279	0.7539	0.1905	0.5608	-0.1905	-0.361	0.7364	0.1807	0.459	-0.1807	-0.2592	0.7815	0.133	0.5146	-0.133	-0.3148	100	100	100	107,771	491,428	11,896	0.852	0.3347	0.9841	0.1227	0.9386	47.7	0.49	1,958	6.2	0.6819	-4.4	-0.35	-461	-4	0.0517	109,474	322,292	76,790	0.8521	0.5702	0.8987	0.4942	0.9112	52.9	0.96	1,714	14.2	0.7162	-9.6	-0.82	-217	-12	0.0174	126,837	245,840	195,110	0.8278	Strong	0.6693	0.7399	0.604	0.9047	Strong	54.6	1.23	1,526	17.9	Strong	0.7388	-11.3	-1.09	-29	-15.7	-0.0052	101	101	101	502	7	competitive	0.0076	31.83	9	85	6	2,604	1,020	competitive	0.0087	1.27	5	70	25	0	7,047	5,011	competitive	0.0097	0.32	0	67	33	0.1483	0.5909	-0.1483	-0.3911	100	101	1,446	1,884	293	0.5598	0.4024	0.9116	0.379	0.7221	51.5	0.78	2,103	11.5	0.7709	-8.2	-0.64	-606	-9.3	-0.0373	competitive	0.0071	0.27	5	78	17	0.6181	3.32	0.7	0.2467	0.6219	-0.2467	-0.4221	100	101	8,102	12,036	1,951	0.5431	0.3042	0.8905	0.3328	0.7498	53.6	1.06	2,376	14.9	0.8234	-10.3	-0.92	-879	-12.7	-0.0898	competitive	0.0063	0.5643	1.1	0.07	0.5757	0.059	0.2307	-0.059	-0.0309	791,801	41.1	0.94	531	20.4	0.4595	2.2	-0.8	966	0.2741	0.5642	0.4169	0.9133	0.4061	0.7839	342,598	0.6247	-18.2	449,046	68,578	44.5	8.8	46.7	791,802	2,419	54.5	4.24	421	20.1	0.5336	8.6	0.02	891	0.0564	0.6282	0.3118	0.9562	0.3888	0.452	888	64.39	3.71	0.3532	2,419	1.36	7,370	2,003	0.2853	2,853.47	0.13	77,053	43,479	0.0308	308.38	0.58	99.01	0.75	99.01	0.94	99.01	0.5	99.01	0.39	99.01	-35.2	-4.34	185	-85.2	-17.2	null	null	null	null	null	-0.21	87,268	-0.119	0.74	107,770	0.852	-0.13	58,425	-0.075	0.78	109,473	0.852	-0.06	16,000	-0.013	0.75	126,836	0.828	-0.15	708	-0.212	0.62	1,446	0.56	-0.24	5,115	-0.284	0.58	8,102	0.543	0.7336	null	null	1,312	0.13	4	1	1	decelerating	0.13	0.93	4	4	19	122	0.889	0.893	0.893	1	1	73,239	76,413	76,398	1	1	decelerating	-0.04	null	88.72

End of preview. Expand in Data Studio

Restaurant Verified Email Access in Seattle, Washington, US

Free sample dataset from BeamStation

Restaurant Verified Email Access in Seattle, Washington, US provides weekly updated, deliverability‑checked email addresses for 858 independent restaurants and micro‑chains operating in the Seattle area. Each record includes a verified email address, an "Active Heartbeat" signal that confirms ongoing business activity, and additional metadata that helps users assess deliverability and relevance. The dataset excludes large chain enterprises, focusing instead on establishments that maintain a distinct, local identity. Updated every week through a proprietary verification pipeline, the data ensures high inbox placement rates for outreach campaigns targeting Seattle’s independent dining scene. Marketers, sales teams, partnership managers, and researchers looking to connect with authentic Seattle eateries will find this resource valuable for targeted outreach, market analysis, or partnership development. Access the dataset at https://beamstation.com/datasets/342899/.

Dataset Details

Field	Value
Full dataset	858 records
Sample size	85 records
Location	Seattle
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/restaurant-verified-email-access-in-seattle-washington-us-342899")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 858 records and unmasked contact data is available at:

Restaurant Verified Email Access in Seattle, Washington, US on BeamStation

License

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

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