Datasets:

beamstation
/

top-300-active-restaurant-whales-with-email-in-seattle-washington-us-772045

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	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	description string	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_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github float64	social_username_github float64	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	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max 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_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	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_1km_tier_80_100 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_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_60_79 float64	beam_competitors_10km_tier_80_100 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_60_79 float64	beam_competitors_city_tier_80_100 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_80_100 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
X67JJFEC	Mamma Melina Ristorante & Pizzeria	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Bar, Restaurant, Wine bar	5101 25th Ave NE, Seattle, WA 98105	5101 25th Ave NE	Seattle	Washington	University District	University District	98,105	US	true	47.666501	-122.300928	America/Los_Angeles	(206) 63-***	2	null	true	Seattle	Washington	US	http	http://mammamelina.com	mammamelina.com	mammamelina.com	com	7,615	2005-05-25	2029-05-25	Network Solutions, LLC	purchase_dataset@gmail.com	null	1	1	An open, airy dining room with art on the ceiling highlights homemade pasta & Neapolitan pizza.	4.45	1,090	{"1": 36, "2": 37, "3": 81, "4": 254, "5": 803}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great dessert, Great wine list	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Cozy, Romantic, Trendy, Upscale	Groups	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/mammamelina	mammamelina	https://www.facebook.com/mammamelina	mammamelina	https://twitter.com/mammamelina	mammamelina	null	null	https://www.linkedin.com/company/mamma-melina-ristorante-pizzeria	mamma-melina-ristorante-pizzeria	null	null	null	null	null	null	https://www.pinterest.com/mammamelina	mammamelina	1,044	4.5	null	null	null	null	208	null	null	null	null	null	null	null	null	null	null	null	null	https://static1.squarespace.com/static/5c88171c7a1fbd581e739108/t/650ca8def929a144702c138d/1695328478923/full+dinner+menu+2021+for+website.pdf	https://google.com/maps/reserve/v/dine/c/ezsz3csbfr8?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/ezsz3csbfr8?source=pa&opi=79508299	2026-03-24T01:16:42.907402+00:00	0.14	6.36	0.2	2,217.82	21.8	50.4244	3.13	89	100	87.2	0.7406	1	0.9444	0.726	0.7786	0.3885	0.8503	0.8221	97.2	88.9	100	0	100	0	0	88.46	7.69	3.85	89.29	8.33	2.38	improving	improving	0.0556	8.3	0.1658	9.3	1	9	26	84	86.6	50.5	92	100	95.2	94	223	2,960	344	1,070	13,519	1,483	49,839	572,171	63,427	53,900	223	416,468	79	290,826	68,167	101	117,655	105,619	101	36,747	144	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8741	0.265	0.6668	0.735	0.2877	0.511	0.2746	0.4289	0.7254	0.5256	0.8853	0.3993	0.6236	0.6007	0.3309	100	78	100	416,468	339,231	290,826	0.428	0.5289	0.6038	0.4293	0.3885	64	4.03	474	76.2	0.4524	19.7	0.42	616	11	0.288	68,167	64,704	117,655	0.903	0.9047	0.8423	0.9069	0.8503	79.7	4.5	1,040	87.7	0.6746	4	-0.05	50	-0.5	0.0658	105,619	107,785	36,747	0.8455	Average	0.8361	0.9503	0.8456	0.8221	Market Leader	80.3	4.5	1,538	87.8	Market Leader	0.7014	3.4	-0.05	-448	-0.6	0.039	79	101	101	672	62	competitive	0.0287	24.83	6.4	29.5	55.1	9	3,472	1,029	competitive	0.0104	1.27	46	54	7,042	5,023	competitive	0.007	0.32	46	54	0.3533	0.6791	0.6467	0.2754	100	101	83	1,434	281	0.9726	0.5516	0.9139	0.648	0.787	80.9	4.55	1,564	89.1	0.7226	2.8	-0.1	-474	-1.9	0.0178	competitive	0.0069	0.27	38	62	0.8287	3.15	1.1	0.3502	0.7244	0.6498	0.2301	100	101	344	6,453	1,493	0.9797	0.6232	0.9145	0.6972	0.7916	82	4.66	1,545	92.2	0.7586	1.7	-0.21	-455	-5	-0.0182	competitive	0.007	0.5643	1	0.11	0.8532	0.2094	0.3682	0.7906	0.5863	828,388	62.9	3.88	394	76.6	0.4737	20.8	0.57	696	0.2667	0.9817	0.5877	0.9311	0.6841	0.7836	14,523	0.8483	10.6	334,289	56,538	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	18.5	0.15	681	0.2274	0.9713	0.5336	0.9213	0.6339	0.7789	71	59.82	30.53	0.8277	2,683	1.36	7,370	2,003	0.2122	2,122.32	0.13	77,053	43,479	0.02	200.49	8.21	126.58	1.08	99.01	0.5	99.01	0.48	99.01	0.49	99.01	-3.1	0.01	7	0	-43.6	null	null	null	null	null	0.01	-3,617	0.005	0.51	416,462	0.428	0.01	-11,731	0.013	0.89	68,115	0.903	-0.03	58,899	-0.086	0.87	105,419	0.846	0.01	-130,261	0.146	0.83	83	0.973	0.53	-463,055	0.613	0.85	344	0.98	0.7404	100	0	1,090	0.23	7	0.545	0.599	stable	0.23	1.63	7	7	19	95	0.816	0.822	0.822	0.545	0.599	142,983	148,636	148,433	29	86	stable	0.06	null	90.35
MVWSTBAF	Di Fiora	Food and Drink	Restaurants	Asian fusion restaurant	Asian fusion restaurant	1320 University St suite 1, Seattle, WA 98101	1320 University St suite 1	Seattle	Washington	Downtown Seattle	First Hill	98,101	US	true	47.612868	-122.324217	America/Los_Angeles	(206) 32-***	2	null	true	Seattle	Washington	US	http	http://difiora.com	difiora.com	difiora.com	com	2,190	2020-04-01	2026-04-01	Wild West Domains, LLC	purchase_dataset@difiora.com, purchase_dataset@gmail.com	realdomain	2	2	Hip restaurant with an Asian-European menu featuring curries, pasta & meat dishes, plus cocktails.	4.39	732	{"1": 35, "2": 30, "3": 55, "4": 103, "5": 493}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Romantic, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	5	https://www.instagram.com/di_fiora_seattle	di_fiora_seattle	https://www.facebook.com/difioraseattle	difioraseattle	https://twitter.com/difioracasandra	difioracasandra	https://www.tiktok.com/@difiora	difiora	null	null	https://www.youtube.com/fioramusic	fioramusic	null	null	null	null	null	null	7,743	0.75	null	0.63	0.75	0.75	441	null	null	null	null	683	107	1,024	2.73	null	3.31	2.52	2.73	https://difiora.com/allmenus	https://difiora.com	https://difiora.com	2026-03-24T00:24:18.094537+00:00	1.05	13.64	0	2,180.26	21.8	50.4244	3.14	87.8	95.5	83.3	0.5867	0.75	0.6827	0.6685	0.6472	0.819	0.8789	0.885	84.1	82.4	100	0	91.67	8.33	0	89.29	10.71	0	83.54	10.13	6.33	improving	stable	0.0673	1.7	0.0355	2.1	2	12	28	79	84.6	70.5	80	100	78.3	94	548	3,374	936	3,508	15,336	5,485	157,511	644,507	222,426	169,439	548	24,906	101	21,469	47,822	101	31,030	82,075	101	100,513	173	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8619	0.3614	0.6565	0.3886	0.0743	0.9367	0.3832	0.5365	0.3668	0.1943	0.9252	0.3062	0.6694	0.4438	0.0614	100	100	100	24,906	94,268	21,469	0.9652	0.8645	0.9708	0.8478	0.819	76.8	4.38	965	84.2	0.5926	4.9	0	-242	-1.1	-0.0101	47,822	78,695	31,030	0.9319	0.8831	0.9584	0.8957	0.8789	80.2	4.48	1,454	87.4	0.685	1.5	-0.1	-731	-4.3	-0.1025	82,075	107,785	100,513	0.8799	Market Leader	0.8361	0.8638	0.8522	0.885	Market Leader	80.6	4.5	1,285	87.9	Market Leader	0.7179	1.1	-0.12	-562	-4.8	-0.1354	101	101	101	576	117	competitive	0.0074	31.83	0	0	70	30	2,382	1,013	competitive	0.0049	1.27	45	55	7,481	5,011	competitive	0.0056	0.32	42	58	0.3533	0.6791	0.3967	0.0517	100	101	225	1,742	689	0.9288	0.4566	0.7904	0.4597	0.5242	80.9	4.55	1,564	89.1	0.7226	0.8	-0.17	-841	-6	-0.1401	competitive	0.0046	0.27	38	62	0.7456	3.15	1.1	0.3502	0.7235	0.3998	0.0073	100	101	864	7,725	4,468	0.9492	0.5503	0.7461	0.5457	0.5324	82.1	4.66	1,545	92.2	0.7616	-0.4	-0.28	-822	-9.1	-0.1791	competitive	0.0047	0.5643	1	0.11	0.7686	0.2094	0.3682	0.5406	0.3626	828,388	62.9	3.88	394	76.6	0.4737	18.8	0.5	329	0.1088	0.9558	0.5257	0.7791	0.5554	0.5581	35,234	0.7738	6.5	385,242	182,671	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	16.5	0.08	314	0.0695	0.9273	0.437	0.7972	0.4366	0.4989	188	59.82	4.06	0.396	2,683	1.36	7,370	2,003	0.2122	2,122.32	0.13	77,053	43,479	0.0201	200.54	0.55	99.01	0.24	99.01	0.31	99.01	0.21	99.01	0.22	99.01	-0.9	0	14	0.2	-7.2	null	null	null	null	null	-0.01	9,205	-0.013	0.94	24,850	0.965	-0.01	4,183	-0.007	0.93	47,611	0.932	0	-3,978	0.004	0.86	81,727	0.88	-0.08	-130,119	0.102	0.75	225	0.929	0.43	-462,535	0.582	0.77	864	0.949	0.5825	100	0	723	0.5	15	1	0.895	accelerating	0.5	3.5	15	15	28	99	0.944	0.946	0.946	1	0.895	47,774	49,638	49,640	1	5	accelerating	0.33	null	63.88
8M9Q39HA	El Sirenito	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Restaurant, Seafood restaurant	5901 Airport Wy S, Seattle, WA 98108	5901 Airport Wy S	Seattle	Washington	Georgetown	Georgetown	98,108	US	true	47.549978	-122.317949	America/Los_Angeles	(206) 76-***	2	null	true	Seattle	Washington	US	http	http://sirenitoseattle.com	sirenitoseattle.com	sirenitoseattle.com	com	955	2023-08-19	2027-08-19	Wix.com Ltd.	purchase_dataset@gmail.com, purchase_dataset@gmail.com	null	2	2	Tequila & unusual agave drinks join Mexican-style seafood bites in vintage wood-&-steel digs.	4.38	362	{"1": 18, "2": 12, "3": 18, "4": 81, "5": 233}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Fireplace, 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, Happy hour food, Hard liquor, Late-night(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	5	https://www.instagram.com/sirenitoseattle	sirenitoseattle	https://www.facebook.com/elsirenitoseattle	elsirenitoseattle	https://twitter.com/sorseattle	sorseattle	https://www.tiktok.com/@carajitoloco9	carajitoloco9	https://www.linkedin.com/in/carrie-omegna-a30201b9	carrie-omegna-a30201b9	null	null	null	null	null	null	null	null	1,222	2.55	null	0.64	0.87	2.55	375	null	null	null	null	484,800	843	28,000,000	10.79	7.83	6.86	8.67	8.67	https://places.singleplatform.com/el-sirenito/menu	https://google.com/maps/reserve/v/dine/c/3ktonmdrmdg?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/3ktonmdrmdg?source=pa&opi=79508299	2026-03-23T22:40:08.434218+00:00	65.78	2.73	0	2,350.61	21.8	50.4244	3.14	87.6	85.3	87	0.7113	1	0.875	0.8996	0.8199	0.7822	0.777	0.8424	93.8	91	100	0	100	0	0	100	0	0	95.24	4.76	0	improving	improving	0.125	2.8	0.0551	3.1	1	4	7	21	85.8	60.1	92	100	92	94	1,023	3,461	1,990	6,441	15,676	10,927	289,574	657,898	440,883	310,934	1,023	303,482	32	546,360	136,367	101	388,919	105,619	101	45,361	184	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8706	0.31	0.6773	0.69	0.1977	0.4371	0.2258	0.5349	0.7742	0.3401	0.7087	0.4213	0.6413	0.5787	0.2337	100	31	100	303,482	415,858	546,360	0.581	0.425	0.2575	0.667	0.7822	66	3.94	300	80.4	0.5765	16.8	0.44	62	6.6	0.1359	136,367	137,691	388,919	0.8119	0.8008	0.479	0.8111	0.777	78.1	4.42	673	85.6	0.6508	4.7	-0.04	-311	1.4	0.0616	105,619	107,785	45,361	0.8455	Average	0.8361	0.9386	0.8456	0.8424	Strong	80.3	4.5	1,487	87.8	Market Leader	0.7059	2.5	-0.12	-1,125	-0.8	0.0065	32	101	101	475	10	competitive	0.0374	9.87	9.7	22.6	48.4	19.4	3,430	1,067	competitive	0.0053	1.27	57	43	7,334	5,252	competitive	0.0024	0.32	45	55	0.3533	0.6793	0.6467	0.1957	100	101	135	1,742	1,291	0.9574	0.4566	0.6069	0.6386	0.7362	80.9	4.55	1,564	89.1	0.7226	1.9	-0.17	-1,202	-2.1	-0.0102	competitive	0.0023	0.27	38	62	0.702	3.15	1.1	0.3502	0.7268	0.6498	0.1482	100	101	550	7,725	8,101	0.9671	0.5503	0.5393	0.6892	0.7429	82.1	4.66	1,538	92.2	0.7595	0.7	-0.28	-1,176	-5.2	-0.0471	competitive	0.0023	0.5643	1	0.11	0.7137	0.2094	0.3682	0.7906	0.5068	828,388	62.9	3.88	394	76.6	0.4737	19.9	0.5	-32	0.2387	0.9719	0.5257	0.6002	0.6775	0.7419	22,275	0.7265	10.4	385,242	330,620	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	17.6	0.08	-47	0.1994	0.9553	0.437	0.6092	0.6238	0.7233	116	59.82	28.14	0.7226	2,683	1.36	7,370	2,003	0.2122	2,121.68	0.13	77,053	43,479	0.02	199.61	14	312.5	0.29	99.01	0.06	99.01	0.05	99.01	0.06	99.01	3.2	0	3	0.1	-0.3	null	null	null	null	null	0.03	-80,264	0.109	0.44	303,480	0.581	0.04	-86,876	0.116	0.71	136,361	0.812	-0.03	46,286	-0.068	0.87	105,587	0.846	-0.12	-130,209	0.131	0.7	135	0.957	0.39	-462,849	0.6	0.71	550	0.967	0.7124	100	0	362	0.1	3	0.481	0.504	accelerating	0.1	0.7	3	3	6	23	0.557	0.57	0.571	0.481	0.504	331,227	345,950	344,596	107	617	accelerating	0.03	null	87.96
AWYLUC6G	Star Sushi & Bar	Food and Drink	Restaurants	Sushi restaurant	"Sushi restaurant, Catering food and drink supplier, Cocktail bar, Dessert restaurant, Japanese rest(...TRUNCATED)	538 Broadway E, Seattle, WA 98102	538 Broadway E	Seattle	Washington	Capitol Hill	Capitol Hill	98,102	US	true	47.624147	-122.320685	America/Los_Angeles	(206) 25-***	3	null	true	Seattle	Washington	US	https	https://pos.chowbus.com/online-ordering/store/star-sush-bar/23800	pos.chowbus.com/online-ordering/store/star-sush-bar/23800	pos.chowbus.com	com	3,827	2015-10-08	2031-10-08	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	Casual Japanese & Mongolian fusion restaurant serving small plates, sushi & ramen.	4.66	561	{"1": 16, "2": 14, "3": 20, "4": 39, "5": 459}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Fireplace, Great cocktails, Great tea selection, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet, Romantic, Trendy, Upscale	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	5	null	null	https://www.facebook.com/bwaystarproject	bwaystarproject	https://twitter.com/brightstarbway	brightstarbway	https://www.tiktok.com/@broadwaystar1	broadwaystar1	https://www.linkedin.com/in/scott-kluge-165167	scott-kluge-165167	https://www.youtube.com/user/broadwaycom	broadwaycom	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	18,300	549	687,100	11.22	null	14.81	14.81	10.82	https://pos.chowbus.com/online-ordering/store/star-sush-bar/23800	https://tmt.spotapps.co/reservations?spot_id=115135&source=google	https://tmt.spotapps.co/reservations?spot_id=115135&source=google	2026-03-23T08:36:29.280687+00:00	2.48	10.91	0	2,360.38	21.8	50.4244	3.14	93.2	91.7	90.9	0.8345	0	0.6739	0.6849	0.7913	0.772	0.9035	0.8407	83.7	89.6	50	50	83.33	16.67	0	84.21	15.79	0	89.13	8.7	2.17	declining	declining	-0.6739	-5.9	-0.1174	-6.6	2	18	38	92	86.4	54	92	100	87	92	721	1,581	1,319	4,598	7,624	7,456	209,855	339,272	305,458	225,060	721	63,725	101	115,354	41,692	101	24,006	114,589	101	123,847	62	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.821	0.3287	0.6405	-0.3287	0.0334	0.884	0.2975	0.4906	-0.2975	0.1833	0.9404	0.3508	0.6698	-0.3508	0.0041	100	100	100	63,725	76,034	115,354	0.9115	0.8887	0.8426	0.8702	0.772	72.7	4.41	629	84.8	0.5723	10.7	0.25	-75	6.2	0.2474	41,692	58,510	24,006	0.94	0.9135	0.9678	0.9163	0.9035	80.4	4.51	1,549	88	0.6955	3	0.15	-995	3	0.1242	114,589	136,818	123,847	0.8331	Market Leader	0.7933	0.8324	0.8048	0.8407	Market Leader	80.2	4.48	1,229	87.3	Market Leader	0.7055	3.2	0.18	-675	3.7	0.1142	101	101	101	577	48	competitive	0.0087	31.83	0	10	70	20	2,680	1,015	competitive	0.0036	1.27	46	54	7,634	5,029	competitive	0.0045	0.32	45	55	0.3533	0.6822	-0.3533	-0.0083	100	101	102	719	915	0.9659	0.7749	0.7219	0.8065	0.8987	80.9	4.55	1,564	89.1	0.7228	2.5	0.11	-1,010	1.9	0.0969	competitive	0.0035	0.27	38	62	0.8354	3.15	1.1	0.3602	0.7236	-0.3602	-0.0497	100	101	377	3,322	5,831	0.9773	0.8047	0.6684	0.8286	0.911	81.9	4.66	1,539	92.2	0.7517	1.5	0	-985	-1.2	0.068	competitive	0.0036	0.5643	1	0.11	0.8329	0.2094	0.3682	-0.2094	0.3057	828,388	62.9	3.88	394	76.6	0.4737	20.5	0.78	160	0.346	0.9787	0.7553	0.7076	0.8012	0.8871	16,789	0.8303	14.4	198,031	241,889	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	18.2	0.36	145	0.3067	0.965	0.7718	0.7278	0.8028	0.8975	87	59.82	33.49	0.9217	2,683	1.36	7,370	2,003	0.2122	2,122.26	0.13	77,053	43,479	0.02	199.7	0.76	99.01	0.13	99.01	0.2	99.01	0.12	99.01	0.13	99.01	3.3	-0.01	13	-0.1	-16.5	null	null	null	null	null	-0.01	7,506	-0.011	0.88	63,723	0.912	-0.01	14,507	-0.019	0.94	41,676	0.94	-0.01	12,452	-0.022	0.82	114,568	0.833	0.01	-130,242	0.139	0.84	102	0.966	0.5	-463,022	0.611	0.83	377	0.977	0.8197	50	50	554	0.4	12	0.926	0.905	stable	0.4	2.8	12	12	37	117	0.92	0.923	0.923	0.926	0.905	66,515	69,132	69,106	5	19	stable	-0.03	null	93.31
PACLXQG2	Chan Seattle	Food and Drink	Restaurants	Korean restaurant	Korean restaurant, Cocktail bar	724 Pine St, Seattle, WA 98101	724 Pine St	Seattle	Washington	Central Business District	Downtown	98,101	US	true	47.613112	-122.33342	America/Los_Angeles	(206) 68-***	2	null	true	Seattle	Washington	US	http	http://chanseattle.com	chanseattle.com	chanseattle.com	com	5,107	2012-04-06	2030-04-06	GoDaddy.com, LLC	purchase_dataset@gmail.com, purchase_dataset@chanseattle.com, purchase_dataset@chanseattle.com	realdomain	3	3	"Classic & contemporary Korean dishes & Asian-inspired drinks in a small space with an open kitchen.(...TRUNCATED)	4.33	532	{"1": 31, "2": 17, "3": 43, "4": 85, "5": 344}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails	Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom	Casual, Cozy, Romantic, Trendy	Family-friendly, LGBTQ+ friendly, Tourists	Dinner reservations recommended, Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs	true	purchase_dataset@	true	true	3	https://www.instagram.com/chanseattle	chanseattle	https://www.facebook.com/chanseattle	chanseattle	null	null	null	null	https://www.linkedin.com/company/chanseattle	chanseattle	null	null	null	null	null	null	null	null	6,887	0.46	null	0.06	0.46	0.46	590	null	null	null	null	null	null	null	null	null	null	null	null	https://chanseattle.com/seattle-down-town-chan-seattle-food-menu	https://resy.com/cities/seattle-wa/venues/chan-seattle	https://resy.com/cities/seattle-wa/venues/chan-seattle	2026-03-23T07:06:25.167199+00:00	0.93	10	0.1	2,131.44	36.4	50.4244	3.14	86.6	90.9	82.3	0.6357	1	0.8881	0.5905	0.4858	0.8985	0.8346	0.8876	94.4	74.3	100	0	93.33	0	6.67	80.85	12.77	6.38	75.86	19.54	4.6	improving	improving	0.1119	20.1	0.4023	27.1	3	15	47	87	78.8	53.5	40	100	89.5	92	753	3,744	1,395	4,820	17,022	7,859	219,961	710,624	322,267	236,087	753	13,722	101	6,872	59,184	101	43,722	89,068	101	110,664	200	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8535	0.3564	0.6583	0.6436	0.1166	0.9559	0.3171	0.6287	0.6829	0.1462	0.9056	0.3793	0.6713	0.6207	0.1036	100	100	100	13,722	76,034	6,872	0.9803	0.8887	0.9907	0.8914	0.8985	78.3	4.41	1,296	85.4	0.6377	-3	-0.08	-773	-3	-0.007	59,184	96,562	43,722	0.9148	0.8575	0.9414	0.8654	0.8346	79.9	4.46	1,327	86.7	0.669	-4.6	-0.13	-804	-4.3	-0.0383	89,068	107,785	110,664	0.8691	Market Leader	0.8361	0.8503	0.8522	0.8876	Market Leader	80.5	4.5	1,261	87.9	Market Leader	0.7188	-5.2	-0.17	-738	-5.5	-0.0881	101	101	101	674	38	competitive	0.004	31.83	0	0	65	35	2,432	1,001	competitive	0.0039	1.27	46	54	7,385	5,131	competitive	0.0041	0.32	43	57	0.3533	0.6793	0.6467	0.0956	100	101	894	1,931	965	0.7244	0.3998	0.7064	0.4332	0.5893	80.9	4.55	1,564	89.1	0.7226	-5.6	-0.22	-1,041	-6.7	-0.0919	competitive	0.0033	0.27	38	62	0.6216	3.15	1.1	0.3502	0.7184	0.6498	0.0565	100	101	4,109	8,638	6,031	0.7635	0.4981	0.657	0.5241	0.6105	82	4.66	1,526	92.2	0.7555	-6.7	-0.33	-1,003	-9.8	-0.1248	competitive	0.0034	0.5643	1	0.11	0.6519	0.2094	0.3682	0.7906	0.4067	828,388	62.9	3.88	394	76.6	0.4737	12.4	0.45	129	0.157	0.7954	0.4828	0.6922	0.5359	0.6218	167,095	0.6707	5.8	419,892	254,560	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	10.1	0.03	114	0.1177	0.7095	0.3751	0.7129	0.4083	0.5675	770	59.82	17.52	0.4832	2,683	1.36	7,370	2,003	0.2122	2,121.68	0.13	77,053	43,479	0.0198	198.08	0.16	99.01	0.15	99.01	0.17	99.01	0.11	99.01	0.12	99.01	-5.6	0	6	0	-15.8	null	null	null	null	null	0	4,988	-0.008	0.96	13,608	0.98	0	3,965	-0.009	0.91	58,862	0.915	0	-2,629	0	0.85	88,533	0.869	-0.2	-129,450	-0.103	0.62	894	0.724	0.32	-459,290	0.397	0.65	4,109	0.764	0.6307	100	0	523	0.37	11	0.741	0.85	stable	0.37	2.57	11	11	30	100	0.908	0.911	0.911	0.741	0.85	75,655	78,604	78,576	7	18	stable	0.14	null	77.34
GMJDYKMB	Roti Cuisine of India	Food and Drink	Restaurants	Indian restaurant	"Indian restaurant, Bar, Cocktail bar, Indian takeaway, Modern Indian restaurant, South Asian restau(...TRUNCATED)	501 Fairview Ave N Suite 121, Seattle, WA 98109	501 Fairview Ave N Suite 121	Seattle	Washington	South Lake Union	South Lake Union	98,109	US	true	47.623376	-122.334944	America/Los_Angeles	(206) 78-***	2	null	true	Seattle	Washington	US	http	http://rotirestaurantseattle.com	rotirestaurantseattle.com	rotirestaurantseattle.com	com	6,553	2008-04-21	2026-04-21	GoDaddy.com, LLC	purchase_dataset@rotirestaurantseattle.com	realdomain	1	1	"Fresh-baked breads plus curries & tandoori-oven items served amid traditional statues of Hindu gods(...TRUNCATED)	4	1,241	{"1": 176, "2": 61, "3": 95, "4": 192, "5": 737}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great tea selection, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet	Family-friendly, Groups, LGBTQ+ friendly, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs	true	purchase_dataset@	true	true	3	https://www.instagram.com/roticuisineofindia	roticuisineofindia	https://www.facebook.com/rotiindiancuisine	rotiindiancuisine	https://twitter.com/roti_24	roti_24	null	null	null	null	null	null	null	null	null	null	null	null	163	4.64	null	4.66	4.66	4.64	99	null	null	null	null	null	null	null	null	null	null	null	null	https://toasttab.com/local/order/roti-authentic-indian-cuisine-530-queen-anne-ave/r-4531cd15-e0c3-41fd-bc82-019f1d99b55d	https://google.com/maps/reserve/v/dine/c/hajgfj0ghg4?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/hajgfj0ghg4?source=pa&opi=79508299	2026-03-23T05:19:13.103200+00:00	0.02	10	0.9	2,202.59	36.4	50.4244	3.13	80	100	73.7	0.5045	1	0.6916	0.5339	0.4534	0.6887	0.9027	0.823	84.6	72.7	100	0	87.1	9.68	3.23	76.88	21.25	1.88	72.83	25.36	1.81	improving	improving	0.3084	11.9	0.2382	16.4	1	31	160	276	78.3	43.5	76	100	83.4	92	128	4,922	199	411	23,500	585	16,227	990,645	20,340	17,018	128	59,427	101	49,883	38,483	101	25,580	105,619	101	206,506	258	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.7923	0.3979	0.6668	0.1021	-0.1798	0.8881	0.315	0.4757	0.185	0.0113	0.9388	0.3483	0.6698	0.1517	-0.1828	100	100	100	59,427	137,108	49,883	0.9175	0.805	0.932	0.7579	0.6887	73	4.31	765	82.2	0.5417	1.3	-0.31	469	-8.5	-0.038	38,483	64,704	25,580	0.9443	0.9047	0.9657	0.9133	0.9027	80.5	4.5	1,525	87.9	0.6951	-6.2	-0.5	-291	-14.2	-0.1914	105,619	136,818	206,506	0.8455	Market Leader	0.7933	0.7204	0.8215	0.823	Market Leader	80.3	4.48	1,084	87.5	Strong	0.7016	-6	-0.48	150	-13.8	-0.1979	101	101	101	599	27	competitive	0.0159	31.83	0	3	81	16	2,377	1,065	competitive	0.008	1.27	45	55	6,885	5,001	competitive	0.0113	0.32	42	58	0.3633	0.6838	0.1367	-0.1968	100	101	1,008	2,663	159	0.6909	0.1783	0.9516	0.2403	0.4183	81	4.55	1,551	89.2	0.7275	-6.7	-0.55	-317	-15.5	-0.2238	competitive	0.0079	0.27	37	63	0.6153	3.15	1.1	0.3502	0.7266	0.1498	-0.2396	100	101	4,717	12,764	540	0.7288	0.2648	0.9691	0.3162	0.4348	82	4.66	1,531	92.2	0.7626	-7.7	-0.66	-297	-18.5	-0.2589	competitive	0.008	0.5643	1	0.11	0.6617	0.2094	0.3682	0.2906	0.1188	828,388	62.9	3.88	394	76.6	0.4737	11.4	0.12	840	0.03	0.7653	0.2663	0.978	0.3442	0.4673	191,987	0.6794	-2.9	596,827	18,118	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	9.1	-0.3	825	-0.0093	0.6808	0.1469	0.9512	0.2092	0.4004	848	59.82	20.58	0.5276	2,683	1.36	7,370	2,003	0.2105	2,104.92	0.13	77,053	43,479	0.0199	198.72	2.52	99.01	0.64	99.01	1.27	99.01	0.62	99.01	0.64	99.01	-9.6	0.01	9	0.2	-54.4	null	null	null	null	null	-0.02	19,819	-0.028	0.89	59,401	0.918	0	7,819	-0.01	0.94	38,246	0.944	0.01	-24,243	0.029	0.79	105,276	0.846	-0.21	-129,336	-0.136	0.62	1,008	0.691	0.33	-458,682	0.362	0.66	4,717	0.729	0.5037	100	0	1,234	0.37	11	0.773	0.678	decelerating	0.37	2.57	11	11	98	289	0.908	0.911	0.911	0.773	0.678	75,655	78,604	78,576	15	75	decelerating	-0.16	null	80.4
6SBAJ3BQ	Virginia Inn	Food and Drink	Restaurants	New American restaurant	New American restaurant, Restaurant	1937 1st Ave, Seattle, WA 98101	1937 1st Ave	Seattle	Washington	Seattle Waterfront	Downtown	98,101	US	true	47.610922	-122.342612	America/Los_Angeles	(206) 72-***	2	null	true	Seattle	Washington	US	http	http://virginiainnseattle.com	virginiainnseattle.com	virginiainnseattle.com	com	6,829	2007-07-20	2027-07-20	Squarespace Domains LLC	purchase_dataset@gmail.com	null	1	1	"Iconic century-old spot serving regional Northwest cuisine & a full bar in cozy bistro digs & patio(...TRUNCATED)	4.41	968	{"1": 38, "2": 31, "3": 65, "4": 194, "5": 635}	Outdoor seating, Curbside pickup, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great wine list, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Historic, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	3	https://www.instagram.com/virginiainn	virginiainn	https://www.facebook.com/thevirginiainn	thevirginiainn	https://twitter.com/thevirginiainn	thevirginiainn	null	null	null	null	null	null	null	null	null	null	null	null	2,695	13.97	null	2.86	13.97	13.97	710	null	null	null	null	null	null	null	null	null	null	null	null	https://virginiainnseattle.com/menu	https://google.com/maps/reserve/v/dine/c/_bdt-5zulsq?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/_bdt-5zulsq?source=pa&opi=79508299	2026-03-23T05:10:21.640360+00:00	0.37	7.27	0.2	2,418.74	36.4	50.4244	3.13	88.2	99.5	86.1	0.6574	1	0.6125	0.6429	0.6384	0.8672	0.8779	0.8355	80.6	81.9	100	0	88.89	11.11	0	82.61	10.87	6.52	84.38	12.5	3.13	improving	stable	0.3875	-1.3	-0.0259	-1.6	1	9	46	128	82.5	51.5	76	100	80.6	92	356	3,231	605	2,264	14,739	3,531	103,972	620,382	144,114	112,860	356	18,215	101	7,257	38,483	101	48,418	97,073	101	176,513	164	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8222	0.3784	0.6677	0.6216	-0.0222	0.9485	0.2342	0.6354	0.7658	0.0101	0.9232	0.4704	0.6736	0.5296	-0.0281	100	100	100	18,215	88,233	7,257	0.9744	0.8722	0.9901	0.8631	0.8672	77.7	4.39	1,280	84.6	0.6182	2	0.01	-323	1.4	0.0356	38,483	78,695	48,418	0.9443	0.8831	0.9351	0.887	0.8779	80.5	4.48	1,294	87.2	0.6846	-0.8	-0.08	-337	-1.2	-0.0308	97,073	107,785	176,513	0.8576	Market Leader	0.8361	0.7612	0.8456	0.8355	Market Leader	80.4	4.5	1,131	87.8	Market Leader	0.7043	-0.7	-0.1	-174	-1.8	-0.0505	101	101	101	509	14	competitive	0.0074	31.83	0	0	70	30	2,679	1,011	competitive	0.0073	1.27	42	58	6,999	5,114	competitive	0.0084	0.32	41	59	0.3533	0.6822	0.6467	-0.0367	100	101	402	1,655	452	0.8762	0.4837	0.8625	0.5917	0.627	80.9	4.55	1,564	89.1	0.7228	-1.2	-0.15	-607	-3.1	-0.069	competitive	0.0061	0.27	38	62	0.7543	3.15	1.1	0.3502	0.7236	0.6498	-0.0781	100	101	1,621	7,373	2,872	0.9051	0.5714	0.8368	0.6537	0.6497	81.9	4.66	1,536	92.2	0.7546	-2.2	-0.26	-579	-6.2	-0.1008	competitive	0.0062	0.5643	1	0.11	0.7845	0.2094	0.3682	0.7906	0.2773	828,388	62.9	3.88	394	76.6	0.4737	16.8	0.52	563	0.1801	0.9156	0.5433	0.8525	0.6463	0.6546	68,041	0.785	9.4	370,747	121,974	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	14.5	0.1	548	0.1408	0.8676	0.465	0.8684	0.5735	0.6081	348	59.82	20.35	0.5235	2,683	1.36	7,370	2,003	0.2122	2,122.26	0.13	77,053	43,479	0.0199	199.32	0.55	99.01	0.54	99.01	0.7	99.01	0.37	99.01	0.38	99.01	-5.8	-0.01	6	-0.1	-33.9	null	null	null	null	null	0	8,026	-0.011	0.95	18,212	0.974	0.01	-13,199	0.016	0.92	38,474	0.944	0.01	-21,256	0.026	0.82	97,062	0.858	-0.07	-129,942	0.049	0.75	402	0.876	0.45	-461,778	0.538	0.78	1,621	0.905	0.6538	100	0	957	0.27	8	0.692	0.718	stable	0.27	1.87	8	8	30	142	0.848	0.854	0.854	0.692	0.718	119,524	124,212	124,100	7	10	stable	0.17	null	80.17
CSFTW3HR	The White Swan Public House	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant	1001 Fairview Ave N, Seattle, WA 98109	1001 Fairview Ave N	Seattle	Washington	South Lake Union	South Lake Union	98,109	US	true	47.629124	-122.33172	America/Los_Angeles	(206) 58-***	2	null	true	Seattle	Washington	US	http	http://whiteswanpublichouse.com	whiteswanpublichouse.com	whiteswanpublichouse.com	com	3,650	2016-04-02	2026-04-02	GoDaddy.com, LLC	purchase_dataset@whiteswanpublichouse.com, purchase_dataset@whiteswanpublichouse.com	realdomain	2	2	Buzzy dockside joint with a patio, serving sustainable seafood, local brews & craft cocktails.	4.25	1,085	{"1": 50, "2": 52, "3": 108, "4": 270, "5": 653}	Outdoor seating, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great wine list, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Qu(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom	Casual, Cozy, Trending, Trendy	Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	5	https://www.instagram.com/whiteswanpublichouse	whiteswanpublichouse	https://www.facebook.com/whiteswanpublichouse	whiteswanpublichouse	https://www.twitter.com/whiteswan206	whiteswan206	https://www.tiktok.com/@whiteswanrichmond	whiteswanrichmond	https://www.linkedin.com/company/the-white-swan-littleover	the-white-swan-littleover	null	null	null	null	null	null	null	null	5,137	0.61	null	0.65	0.62	0.61	972	null	null	null	null	112	34	4,576	4.15	null	null	null	2.96	https://places.singleplatform.com/the-white-swan-public-house/menu	https://google.com/maps/reserve/v/dine/c/m5_xwrweih4?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/m5_xwrweih4?source=pa&opi=79508299	2026-03-23T04:55:52.911806+00:00	0.7	7.27	0.1	2,209.73	21.8	50.4244	3.13	85	100	81.4	0.6451	1	0.6631	0.5209	0.3507	0.655	0.8996	0.8125	83.2	67.5	100	0	80	20	0	73.68	23.68	2.63	64.55	28.18	7.27	improving	improving	0.3369	15.7	0.3124	23.3	2	10	38	110	83.4	51.5	92	100	84.1	92	229	4,149	356	1,109	18,991	1,558	52,198	792,659	66,774	56,510	229	190,526	101	219,861	44,889	101	23,462	123,739	101	144,801	226	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8143	0.3529	0.6444	0.6471	-0.0187	0.7458	0.2075	0.4181	0.7925	0.2076	0.9364	0.3233	0.6589	0.6767	-0.0332	100	100	100	190,526	137,108	219,861	0.7357	0.805	0.7002	0.7482	0.655	68.2	4.31	526	82	0.5308	12.1	-0.05	551	-0.6	0.1008	44,889	64,704	23,462	0.9361	0.9047	0.9685	0.9102	0.8996	80.3	4.5	1,557	87.8	0.6937	0	-0.24	-480	-6.4	-0.0621	123,739	121,580	144,801	0.821	Strong	0.8155	0.804	0.83	0.8125	Market Leader	80.1	4.49	1,188	87.6	Market Leader	0.6995	0.2	-0.23	-111	-6.2	-0.0679	101	101	101	795	8	competitive	0.0201	31.83	0	23	64	13	2,586	1,184	competitive	0.0069	1.27	48	52	7,512	5,092	competitive	0.009	0.32	43	57	0.3533	0.6793	0.6467	-0.0536	100	101	350	2,163	303	0.8917	0.3331	0.9078	0.4016	0.5899	80.9	4.55	1,564	89.1	0.7226	-0.6	-0.29	-487	-7.7	-0.091	competitive	0.0068	0.27	38	62	0.729	3.15	1.1	0.3602	0.7323	0.6398	-0.1066	100	101	1,407	9,790	1,463	0.9176	0.4357	0.9162	0.493	0.6123	82	4.66	1,530	92.2	0.7553	-1.7	-0.4	-453	-10.8	-0.1237	competitive	0.007	0.5643	1	0.11	0.7726	0.2094	0.3682	0.7906	0.2575	828,388	62.9	3.88	394	76.6	0.4737	17.4	0.38	683	0.1579	0.9291	0.4292	0.9221	0.5095	0.623	56,908	0.777	4.8	466,850	63,884	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	15.1	-0.04	668	0.1186	0.8852	0.3039	0.9135	0.3751	0.569	301	59.82	25.69	0.6447	2,683	1.36	7,370	2,003	0.2122	2,121.68	0.13	77,053	43,479	0.0199	198.6	4.03	99.01	0.47	99.01	0.81	99.01	0.47	99.01	0.49	99.01	-5.2	0	5	0	-42	null	null	null	null	null	-0.03	33,669	-0.046	0.75	190,516	0.736	-0.01	17,704	-0.023	0.94	44,745	0.936	-0.01	16,515	-0.027	0.81	123,523	0.821	-0.1	-129,994	0.065	0.73	350	0.892	0.45	-461,992	0.551	0.77	1,407	0.918	0.6316	100	0	1,077	0.27	8	0.702	0.647	stable	0.27	1.87	8	8	22	119	0.848	0.854	0.854	0.702	0.647	119,524	124,212	124,100	13	59	stable	0.07	null	85.51
535PDHWQ	Secret Savory	Food and Drink	Restaurants	Thai restaurant	Thai restaurant	2213 NW Market St unit 100, Seattle, WA 98107	2213 NW Market St unit 100	Seattle	Washington	Ballard	Ballard	98,107	US	true	47.668474	-122.385483	America/Los_Angeles	(206) 82-***	2	null	true	Seattle	Washington	US	https	https://thesecretsavory.com	thesecretsavory.com	thesecretsavory.com	com	2,310	2019-12-03	2028-12-03	Wix.com Ltd.	purchase_dataset@yahoo.com	null	1	1	"Relaxed option offering homestyle regional Thai snacks, dishes & desserts, plus creative cocktails.(...TRUNCATED)	4.52	562	{"1": 22, "2": 24, "3": 22, "4": 55, "5": 409}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	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, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/secret_savory_ballard	secret_savory_ballard	https://www.facebook.com/secretsavory	secretsavory	https://twitter.com/mytofd	mytofd	https://www.tiktok.com/@secrets.savory	secrets.savory	null	null	null	null	null	null	null	null	null	null	583	1.27	null	1.63	1.27	1.27	201	null	null	null	null	13	59	197	1.72	null	null	null	null	https://thesecretsavory.com/seattle-ballard-secret-savory-food-menu	https://thesecretsavory.com	https://thesecretsavory.com	2026-03-19T06:22:41.516352+00:00	0.08	3.64	0.3	2,158.76	27.3	50.4244	3.14	90.4	91.7	87.2	0.7477	1	0.75	0.5295	0.6238	0.8413	0.8497	0.7952	87.5	81.2	100	0	87.5	12.5	0	78.26	21.74	0	81.36	16.95	1.69	improving	improving	0.25	6.3	0.1262	7.8	2	8	23	59	80.5	36.8	72	100	88.4	84	719	2,480	1,316	4,596	11,489	7,449	209,540	489,540	304,947	224,726	719	52,629	101	192,642	59,184	101	134,980	114,589	101	35,114	112	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8636	0.335	0.6686	0.665	0.1092	0.8634	0.2871	0.527	0.7129	0.2508	0.8801	0.4013	0.6628	0.5987	0.115	100	100	100	52,629	64,628	192,642	0.9269	0.9048	0.7373	0.8914	0.8413	73.5	4.43	548	85.4	0.6036	7.8	0.09	14	1.8	0.1335	59,184	71,330	134,980	0.9148	0.8948	0.819	0.9032	0.8497	79.9	4.49	1,000	87.6	0.6744	1.4	0.03	-438	-0.4	0.0627	114,589	121,580	35,114	0.8331	Market Leader	0.8155	0.9525	0.83	0.7952	Market Leader	80.2	4.49	1,548	87.6	Market Leader	0.6959	1.1	0.03	-986	-0.4	0.0412	101	101	101	386	7	competitive	0.0101	31.83	0	9	67	24	3,197	1,098	competitive	0.0056	1.27	49	51	7,054	5,043	competitive	0.0036	0.32	45	55	0.3533	0.6822	0.6467	0.0956	100	101	256	1,145	900	0.9188	0.6428	0.7262	0.648	0.7822	80.9	4.55	1,564	89.1	0.7228	0.4	-0.03	-1,002	-1.9	0.0143	competitive	0.0036	0.27	38	62	0.7782	3.15	1.1	0.3502	0.7268	0.6498	0.051	100	101	1,014	5,272	5,748	0.9404	0.6922	0.6731	0.6972	0.7846	82.1	4.66	1,538	92.2	0.7595	-0.8	-0.14	-976	-5	-0.0224	competitive	0.0036	0.5643	1	0.11	0.7857	0.2094	0.3682	0.7906	0.4096	828,388	62.9	3.88	394	76.6	0.4737	18.4	0.64	168	0.2634	0.9489	0.6507	0.7113	0.6841	0.7787	40,846	0.7881	10.6	282,711	238,804	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	16.1	0.22	153	0.2241	0.9154	0.629	0.7297	0.6339	0.7748	218	59.82	29.71	0.7886	2,683	1.36	7,370	2,003	0.2122	2,122.26	0.13	77,053	43,479	0.02	199.61	1.03	99.01	0.31	99.01	0.13	99.01	0.13	99.01	0.13	99.01	-1.3	0.01	8	0.2	-34.3	null	null	null	null	null	-0.01	2,884	-0.004	0.86	52,627	0.927	0.02	-34,823	0.044	0.88	59,179	0.915	-0.03	55,256	-0.08	0.86	114,582	0.833	-0.04	-130,088	0.092	0.78	256	0.919	0.45	-462,385	0.574	0.79	1,014	0.94	0.7371	100	0	559	0.13	4	0.565	0.535	decelerating	0.13	0.93	4	4	16	64	0.648	0.66	0.66	0.565	0.535	264,626	275,746	274,862	35	156	decelerating	0	null	89.53
KWPYAQUN	Bar del Corso	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Bar, Northern Italian restaurant, Restaurant, Southern Italian restaurant	3057 Beacon Ave S, Seattle, WA 98144	3057 Beacon Ave S	Seattle	Washington	North Beacon Hill	North Beacon Hill	98,144	US	true	47.575373	-122.309636	America/Los_Angeles	(206) 39-***	2	null	true	Seattle	Washington	US	http	http://bardelcorso.com	bardelcorso.com	bardelcorso.com	com	6,346	2008-11-14	2026-11-14	GoDaddy.com, LLC	purchase_dataset@bardelcorso.com	realdomain	1	1	Modern, warm Italian eatery with small plates plus pizzas from a blue-tiled wood-burning oven.	4.54	847	{"1": 28, "2": 15, "3": 48, "4": 149, "5": 671}	Outdoor seating, Takeout, Dine-in	Fast service, Great cocktails, Great wine list	Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Small plates, Wine	Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy	Groups	Dinner reservations recommended, Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/bardelcorsoseattle	bardelcorsoseattle	https://www.facebook.com/bardelcorsoseattle	bardelcorsoseattle	https://twitter.com/bardelcorso	bardelcorso	null	null	https://www.linkedin.com/in/david-elliott-9aa7971	david-elliott-9aa7971	null	null	null	null	null	null	null	null	9,470	1.43	null	2.04	1.54	1.43	837	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/bar-del-corso/menu	https://google.com/maps/reserve/v/dine/c/eygfolhmbei?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/eygfolhmbei?source=pa&opi=79508299	2026-03-19T05:55:39.956742+00:00	1.28	7.27	0	2,152.02	27.3	50.4244	3.13	90.8	97.6	89.4	0.7741	0.5	0.618	0.6967	0.768	0.7492	0.8608	0.756	80.9	88.4	66.67	33.33	75	16.67	8.33	80.56	8.33	11.11	87.64	6.74	5.62	declining	declining	-0.118	-7.5	-0.15	-8.5	3	12	36	89	83.1	51.5	72	100	84.6	84	443	2,345	751	2,863	10,887	4,451	128,411	466,094	179,295	138,704	443	259,803	40	500,571	72,575	101	39,177	123,739	101	58,147	107	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8293	0.3033	0.6488	0.6967	0.0428	0.5432	0.2909	0.4289	0.7091	0.2627	0.9043	0.3729	0.6388	0.6271	0.0528	100	39	100	259,803	260,089	500,571	0.6406	0.6371	0.3195	0.8143	0.7492	66.8	4.13	333	83.4	0.5635	17.4	0.41	514	6	0.2118	72,575	87,463	39,177	0.897	0.871	0.9475	0.8739	0.8608	79.6	4.47	1,375	86.9	0.6783	4.6	0.07	-528	2.5	0.097	123,739	170,243	58,147	0.821	Average	0.7482	0.9213	0.78	0.756	Market Leader	80.1	4.46	1,423	87	Market Leader	0.6875	4.1	0.08	-576	2.4	0.0878	40	101	101	568	81	competitive	0.0613	12.41	7.7	15.4	59	17.9	4,018	1,443	competitive	0.0061	1.27	52	48	7,652	5,032	competitive	0.0059	0.32	46	54	0.3533	0.6793	0.6467	0.0123	100	101	67	1,080	549	0.9799	0.6617	0.833	0.7362	0.8409	80.9	4.55	1,564	89.1	0.7226	3.3	-0.01	-717	0.3	0.0527	competitive	0.0054	0.27	38	62	0.8404	3.15	1.1	0.3502	0.7275	0.6498	-0.0359	100	101	256	4,951	3,539	0.9848	0.7097	0.7985	0.7754	0.8454	82	4.66	1,539	92.2	0.759	2.2	-0.12	-692	-2.8	0.0163	competitive	0.0055	0.5643	1	0.11	0.8464	0.2094	0.3682	0.7906	0.3234	828,388	62.9	3.88	394	76.6	0.4737	21.3	0.66	453	0.3016	0.9857	0.6669	0.822	0.7542	0.8334	11,297	0.8409	12.8	269,316	147,196	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	19	0.24	438	0.2623	0.9799	0.6503	0.8404	0.7289	0.8363	54	59.82	33.48	0.921	2,683	1.36	7,370	2,003	0.2122	2,121.68	0.13	77,053	43,479	0.02	199.69	37.57	250	0.37	99.01	0.35	99.01	0.29	99.01	0.3	99.01	-1.4	-0.01	11	-0.2	-30.7	null	null	null	null	null	0.05	-100,089	0.137	0.54	259,801	0.641	-0.01	20,893	-0.032	0.9	72,487	0.897	-0.03	43,731	-0.063	0.83	123,565	0.821	0.02	-130,277	0.153	0.84	67	0.98	0.51	-463,143	0.618	0.85	256	0.985	0.7753	100	0	841	0.27	8	0.649	0.667	stable	0.27	1.87	8	8	22	101	0.848	0.854	0.854	0.649	0.667	119,524	124,212	124,100	25	73	stable	-0.03	null	93.3

Top 300 Active Restaurant Whales with Email in Seattle, Washington, US

Free sample dataset from BeamStation

--High-Volume, Active targets--

This dataset lists 275 active restaurant establishments in Seattle, Washington, US that rank in the top 10% of their local market for foot traffic and review volume over the past 30 days within a 10‑kilometer radius. Each record includes validated contact information, notably an email address, and is refreshed weekly to maintain an "Active Heartbeat" signal that confirms ongoing transactional velocity.

Ideal users are payment processors, POS vendors, and supply‑chain sales teams seeking high‑velocity, actively transacting accounts for outreach, partnership development, or market analysis. The focus on Seattle ensures a geographically concentrated view of the city’s most dynamic dining venues, enabling targeted engagement strategies based on recent activity metrics.

For direct access, visit the dataset page: https://beamstation.com/datasets/772045/

Dataset Details

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/top-300-active-restaurant-whales-with-email-in-seattle-washington-us-772045")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 275 records and unmasked contact data is available at:

Top 300 Active Restaurant Whales with Email in Seattle, Washington, US on BeamStation

License

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

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