Datasets:

beamstation
/

all-restaurants-in-seattle-washington-us-803541

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 null	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	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 null	social_username_youtube null	social_profile_github null	social_username_github null	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m null	instagram_engagement_rate_6m null	instagram_engagement_rate_12m null	instagram_post_count float64	first_social_post_days_min null	first_social_post_days_max null	last_social_post_days_min null	last_social_post_days_max null	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_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 null	beam_trends_score_90d_rating null	beam_trends_score_90d_review_count null	beam_trends_score_90d_beam_rating_health null	beam_trends_score_90d_beam_popularity_percentile null	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio 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 null	beam_trends_sentiment_recommend_pct float64
TVN5SG2K	Pizzutos	Food and Drink	Restaurants	Italian restaurant	Italian restaurant	5032 Wilson Ave S, Seattle, WA 98118	5032 Wilson Ave S	Seattle	Washington	Rainier Valley	Lakewood	98,118	US	true	47.556068	-122.270173	America/Los_Angeles	(206) 75-***	2	null	true	Seattle	Washington	US	http	http://pizzutositalian.com	pizzutositalian.com	pizzutositalian.com	com	2,204	2020-03-18	2027-03-18	Wix.com Ltd.	purchase_dataset@gmail.com	null	1	1	0	"Italian comfort food like chicken parmesan & pizza in a warm setting with red-checkered tablecloths(...TRUNCATED)	4.63	253	{"1": 7, "2": 2, "3": 10, "4": 38, "5": 194}	No-contact delivery, Delivery, Takeout, Dine-in	Fast service	Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Coffee, Comfort food, Vegetarian options, Wine	Dinner, Catering, Dessert, Seating, Table service	Restroom	Casual, Cozy	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	2	null	null	https://www.facebook.com/pizzutoscafe	pizzutoscafe	https://twitter.com/giuspizzuto	giuspizzuto	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://pizzutositalian.com/food-menu	null	null	2026-03-24T01:35:27.630569+00:00	0	1.82	2.2	2,104.92	54.6	50.4244	3.14	92.6	80.2	92.5	0.8293	1	1	1	0.9375	0.7868	0.7668	0.81	100	96.9	100	100	0	0	100	0	0	95.83	0	4.17	stable	improving	0	3.1	0.0625	3.2	1	2	9	24	77.9	42.8	16	100	98.7	94	1,279	1,788	2,532	7,767	8,447	13,563	349,572	371,171	547,939	375,362	1,279	314,663	24	609,069	170,693	101	490,185	132,720	101	35,421	143	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8539	0.2833	0.6455	0.7167	0.3545	0.5197	0.3333	0.4162	0.6667	0.5838	0.6537	0.3958	0.6515	0.6042	0.3485	100	23	100	314,663	137,108	609,069	0.5659	0.805	0.1729	0.8668	0.7868	65.8	4.31	249	84.7	0.5784	9.1	0.32	2	7.7	0.2506	170,693	127,059	490,185	0.7644	0.816	0.3438	0.8111	0.7668	77.4	4.43	555	85.6	0.6476	-2.5	0.2	-304	6.8	0.1814	132,720	121,580	35,421	0.8091	Average	0.8155	0.952	0.8456	0.81	Strong	80	4.49	1,546	87.8	Market Leader	0.699	-5.1	0.14	-1,295	4.6	0.13	24	101	101	694	55	competitive	0.042	7.32	4.3	34.8	39.1	21.7	3,378	1,022	competitive	0.0045	1.27	62	38	8,093	5,139	competitive	0.0016	0.32	49	51	0.3633	0.6838	0.6367	0.3162	100	101	947	795	1,563	0.707	0.7521	0.5233	0.843	0.9063	81	4.55	1,551	89.2	0.7275	-6.1	0.08	-1,300	3.2	0.1015	competitive	0.0016	0.27	37	63	0.6654	3.15	1.1	0.3502	0.717	0.6498	0.283	100	101	4,289	3,678	9,705	0.7525	0.7838	0.4484	0.8661	0.9199	81.9	4.66	1,530	92.2	0.7517	-7	-0.03	-1,279	0.2	0.0773	competitive	0.0016	0.5643	1	0.11	0.6706	0.2094	0.3682	0.7906	0.6318	828,388	62.9	3.88	394	76.6	0.4737	12	0.75	-143	0.3553	0.7834	0.7346	0.5151	0.8369	0.8968	176,978	0.6883	15.8	213,838	400,877	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	9.7	0.33	-158	0.316	0.698	0.7472	0.5093	0.8434	0.9131	804	59.82	35.36	0.9549	2,683	1.36	7,370	2,003	0.2105	2,104.92	0.13	77,053	43,479	0.0199	198.56	17.64	416.67	0.2	99.01	0.03	99.01	0.03	99.01	0.03	99.01	3.4	0	2	0	-9.2	null	null	null	null	null	0.05	-101,063	0.137	0.52	314,654	0.566	0.05	-113,811	0.151	0.65	170,569	0.764	-0.05	81,971	-0.117	0.85	131,702	0.809	-0.16	-129,397	-0.12	0.67	947	0.707	0.34	-459,110	0.386	0.67	4,289	0.753	0.829	100	0	251	0.07	2	0.104	0.115	stable	0.07	0.47	2	2	7	27	0.439	0.452	0.454	0.104	0.115	417,455	437,538	435,431	65	203	stable	0.04	null	95.18
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	null	null	0	0	0	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	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	271	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
8LP28YQ4	Saigon Deli	Food and Drink	Restaurants	Vietnamese restaurant	Vietnamese restaurant, Chinese restaurant	4142 Brooklyn Ave NE #105, Seattle, WA 98105	4142 Brooklyn Ave NE #105	Seattle	Washington	University District	University District	98,105	US	true	47.65816	-122.314206	America/Los_Angeles	(206) 63-***	2	null	true	Seattle	Washington	US	http	http://saigondeliuw.com	saigondeliuw.com	saigondeliuw.com	com	1,511	2022-02-09	2027-02-09	Porkbun LLC	null	null	0	0	0	Buzzing, relaxed spot known for Vietnamese baguette sandwiches, plus pho, rice vermicelli & rolls.	4.49	390	{"1": 14, "2": 19, "3": 17, "4": 50, "5": 291}	Delivery, Onsite services, Takeout, Dine-in	Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible seating	Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Vegetarian options	Lunch, Dinner, Dessert, Table service	Restroom	Casual, Cozy	College students	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	purchase_dataset@	true	true	2	null	null	https://www.facebook.com/public/sarah-de-leeuw	public	null	null	https://www.tiktok.com/@syondeu	syondeu	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	316	10	19,100	2.37	4	4.27	4.01	2.37	https://places.singleplatform.com/saigon-deli-4/menu	null	null	2026-03-24T01:16:20.632416+00:00	0.04	4.55	1.1	2,173.8	54.6	50.4244	3.14	89.8	86.4	87.2	0.7496	0.5	0.9	0.7792	0.6942	0.6875	0.8692	0.8299	95	84.7	100	100	0	0	90	10	0	85.71	14.29	0	declining	improving	-0.4	10.3	0.2058	12.2	1	5	20	49	79.6	48.5	56	83	93.8	94	982	2,738	1,882	6,137	12,539	10,351	276,411	531,378	418,180	296,856	982	108,619	101	158,160	38,483	101	40,551	132,720	101	53,046	245	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8468	0.2521	0.662	0.2479	0.238	0.8137	0.4029	0.5026	0.0971	0.3974	0.9264	0.445	0.6796	0.055	0.2204	100	100	100	108,619	143,867	158,160	0.849	0.7962	0.7842	0.7386	0.6875	70.5	4.3	580	81.8	0.5413	6.2	0.2	-196	5.4	0.2066	38,483	78,695	40,551	0.9443	0.8831	0.9457	0.8957	0.8692	80.5	4.48	1,361	87.4	0.6814	-3.8	0.02	-977	-0.2	0.0665	132,720	121,580	53,046	0.8091	Market Leader	0.8155	0.9282	0.83	0.8299	Market Leader	80	4.49	1,444	87.6	Market Leader	0.7031	-3.3	0.01	-1,060	-0.4	0.0448	101	101	101	452	12	competitive	0.0066	31.83	0	12	76	12	3,671	1,112	competitive	0.0028	1.27	41	59	6,686	5,006	competitive	0.0027	0.32	47	53	0.3583	0.6818	0.1417	0.2182	100	101	728	1,221	1,242	0.774	0.6072	0.6209	0.648	0.7998	80.9	4.55	1,565	89.1	0.722	-4.2	-0.05	-1,181	-1.9	0.0259	competitive	0.0024	0.27	38	62	0.678	3.15	1.1	0.3502	0.7203	0.1498	0.1797	100	101	3,254	5,578	7,813	0.8119	0.6698	0.5557	0.6972	0.8093	81.9	4.66	1,540	92.2	0.7555	-5.2	-0.16	-1,156	-5	-0.0076	competitive	0.0025	0.5643	1	0.11	0.6924	0.2094	0.3682	0.2906	0.5318	828,388	62.9	3.88	394	76.6	0.4737	13.8	0.62	-10	0.2742	0.8362	0.6302	0.6146	0.6841	0.7946	133,301	0.7079	10.6	295,956	318,805	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	11.5	0.2	-25	0.2349	0.7617	0.5928	0.6234	0.6339	0.7923	628	59.82	30.68	0.8345	2,683	1.36	7,370	2,003	0.2123	2,123.47	0.13	77,053	43,479	0.02	199.84	0.43	99.01	0.08	99.01	0.07	99.01	0.06	99.01	0.06	99.01	7.8	0	3	-0.2	-13.3	null	null	null	null	null	-0.01	14,763	-0.021	0.81	108,615	0.849	0	-9,759	0.011	0.93	38,468	0.944	-0.04	63,488	-0.09	0.85	132,679	0.809	-0.15	-129,616	-0.053	0.68	728	0.774	0.35	-460,145	0.445	0.69	3,254	0.812	0.7479	100	0	384	0.17	5	0.581	0.657	stable	0.17	1.17	5	5	13	59	0.719	0.729	0.729	0.581	0.657	213,014	221,732	221,154	33	95	stable	0.04	null	90.5
XQ6WR62D	Jack's Fish Spot	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant, Seafood market	1514 Pike Pl, Seattle, WA 98101	1514 Pike Pl	Seattle	Washington	Seattle Waterfront	Downtown	98,101	US	true	47.609068	-122.340869	America/Los_Angeles	(206) 46-***	2	null	true	Seattle	Washington	US	http	http://jacksfishspot.com	jacksfishspot.com	jacksfishspot.com	com	9,617	1999-12-01	2026-12-01	Bluehost Inc.	purchase_dataset@jacksfishspot.com	realdomain	1	1	0	Funky market seafood stall known for its fresh lunches, plus live crab & shellfish tanks.	4.1	1,193	{"1": 103, "2": 60, "3": 106, "4": 275, "5": 658}	Curbside pickup, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance	Alcohol, Comfort food, Quick bite	Lunch, Dinner, Counter service, Seating	Bar onsite	Casual, Historic	Family-friendly, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	purchase_dataset@	true	true	2	https://www.instagram.com/jacksfishspot	jacksfishspot	https://www.facebook.com/jacksfishspotpikeplaceseattle	jacksfishspotpikeplaceseattle	null	null	null	null	null	null	null	null	null	null	null	null	null	null	1,256	7.37	null	null	null	null	35	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/jacks-fish-spot/menu	null	null	2026-03-23T23:40:12.740117+00:00	0.17	8.18	0.9	2,278.73	54.6	50.4244	3.13	82	100	77.5	0.5601	0.5	0.6093	0.695	0.4661	0.8722	0.8725	0.8388	80.5	73.3	100	80	20	0	84.62	10.26	5.13	74.47	21.99	3.55	declining	improving	-0.1093	7.2	0.1432	9.8	1	10	39	141	79.4	52.2	68	100	80.6	94	148	4,710	229	491	22,071	701	20,493	924,629	25,746	21,763	148	19,514	101	7,257	41,692	101	52,219	97,073	101	163,719	451	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8274	0.3909	0.6749	0.4424	-0.0005	0.9477	0.2258	0.6071	0.6075	0.0673	0.9163	0.4579	0.6662	0.3754	0.0082	100	100	100	19,514	88,233	7,257	0.9726	0.8722	0.9901	0.8668	0.8722	77.5	4.39	1,280	84.7	0.6212	-0.7	-0.29	-93	-7.3	-0.0618	41,692	87,463	52,219	0.94	0.871	0.93	0.8825	0.8725	80.4	4.47	1,271	87.1	0.6825	-3.6	-0.37	-84	-9.7	-0.1231	97,073	107,785	163,719	0.8576	Market Leader	0.8361	0.7784	0.8522	0.8388	Market Leader	80.4	4.5	1,154	87.9	Market Leader	0.7051	-3.6	-0.4	33	-10.5	-0.1457	101	101	101	530	26	competitive	0.0092	31.83	0	0	70	30	2,585	1,004	competitive	0.0093	1.27	43	57	7,042	5,012	competitive	0.0102	0.32	41	59	0.3533	0.6791	0.48	-0.0047	100	101	716	2,541	189	0.7791	0.223	0.9428	0.2978	0.495	80.9	4.55	1,564	89.1	0.7226	-4.1	-0.45	-377	-11.7	-0.1632	competitive	0.0075	0.27	38	62	0.6614	3.15	1.1	0.3502	0.7128	0.4831	-0.0384	100	101	3,183	11,883	657	0.8153	0.3194	0.9625	0.386	0.5056	81.9	4.66	1,531	92.2	0.7579	-5.1	-0.56	-344	-14.8	-0.1985	competitive	0.0077	0.5643	1	0.11	0.7107	0.2094	0.3682	0.6239	0.3062	828,388	62.9	3.88	394	76.6	0.4737	13.9	0.22	793	0.0857	0.8391	0.3247	0.9713	0.4146	0.5303	130,958	0.7244	0.8	554,757	23,591	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	11.6	-0.2	778	0.0464	0.7666	0.1902	0.9456	0.2662	0.4691	619	59.82	20.9	0.5332	2,683	1.36	7,370	2,003	0.2122	2,122.32	0.13	77,053	43,479	0.0199	198.67	0.84	99.01	0.86	99.01	1.04	99.01	0.57	99.01	0.59	99.01	-3.8	0	6	0.1	-45.3	null	null	null	null	null	-0.01	9,325	-0.013	0.95	19,401	0.973	0.01	-9,990	0.012	0.92	41,337	0.94	0.01	-15,732	0.018	0.83	96,527	0.858	-0.16	-129,628	-0.048	0.66	716	0.779	0.38	-460,216	0.449	0.71	3,183	0.815	0.5594	100	0	1,187	0.3	9	0.807	0.721	stable	0.3	2.1	9	9	28	158	0.873	0.878	0.878	0.807	0.721	101,285	105,220	105,139	9	51	stable	0.13	null	80.72
RVKZT9DR	19 GOLD Taiwanese Restaurant	Food and Drink	Restaurants	Taiwanese restaurant	Taiwanese restaurant	3601 Fremont Ave N #101, Seattle, WA 98103	3601 Fremont Ave N #101	Seattle	Washington	Fremont	Fremont	98,103	US	true	47.651527	-122.350467	America/Los_Angeles	(206) 58-***	2	null	true	Seattle	Washington	US	https	https://19goldseattle.com	19goldseattle.com	19goldseattle.com	com	2,559	2019-03-29	2028-03-29	Network Solutions, LLC	null	null	0	0	0	Cozy place dishing up customized Malatang soup bowls, Taiwanese-style braised dishes & noodles.	4.49	880	{"1": 29, "2": 24, "3": 65, "4": 149, "5": 632}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great tea selection, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Comfort food, Happy hour drinks, Happy hour food, Healthy options, Late-n(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://order.online/store/19-gold-seattle-663390	https://19goldseattle.com/contact-us	https://19goldseattle.com/contact-us	2026-03-19T23:02:20.218345+00:00	0	11.82	2.8	2,123.47	109.2	50.4244	3.13	89.8	98.2	87	0.7235	1	0.7249	0.809	0.7242	0.6934	0.9084	0.7363	86.2	86.2	100	83.33	16.67	0	90.16	8.2	1.64	85.34	12.07	2.59	improving	stable	0.2751	0	0.0007	0	1	12	61	116	75.4	69.5	0	67	87.6	86	421	2,709	714	2,678	12,436	4,177	121,141	528,578	168,802	131,018	421	122,614	95	228,862	41,692	101	26,108	174,264	101	197,702	243	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.7526	0.329	0.6505	0.671	-0.0184	0.7587	0.3832	0.4861	0.6168	0.146	0.934	0.3317	0.6738	0.6683	-0.0417	100	94	100	122,614	189,008	228,862	0.8297	0.7347	0.6879	0.7725	0.6934	70	4.23	519	82.5	0.5433	5.6	0.26	361	4.5	0.1759	41,692	71,330	26,108	0.94	0.8948	0.965	0.9032	0.9084	80.4	4.49	1,518	87.6	0.6978	-4.8	0	-638	-0.6	0.0214	174,264	153,317	197,702	0.7542	Strong	0.7704	0.7326	0.78	0.7363	Market Leader	79.5	4.47	1,097	87	Strong	0.6835	-3.9	0.02	-217	0	0.0357	95	101	101	413	25	competitive	0.0177	29.92	5.3	9.6	67	18.1	3,729	1,041	competitive	0.0058	1.27	43	57	6,973	5,004	competitive	0.008	0.32	50	50	0.3583	0.6818	0.6417	-0.0497	100	101	866	1,293	522	0.7344	0.596	0.8412	0.6386	0.7514	80.9	4.55	1,565	89.1	0.722	-5.3	-0.06	-685	-2.1	-0.0028	competitive	0.0056	0.27	38	62	0.7249	3.15	1.1	0.3602	0.727	0.6398	-0.0949	100	101	3,875	5,816	3,237	0.7767	0.6602	0.8161	0.6892	0.7556	81.9	4.66	1,524	92.2	0.7593	-6.3	-0.17	-644	-5.2	-0.0401	competitive	0.0057	0.5643	1	0.11	0.7536	0.2094	0.3682	0.7906	0.2639	828,388	62.9	3.88	394	76.6	0.4737	12.7	0.61	486	0.2455	0.8042	0.6221	0.8319	0.6775	0.7524	159,733	0.7579	10.4	306,364	139,009	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	10.4	0.19	471	0.2062	0.7211	0.5802	0.8486	0.6238	0.739	744	59.82	30.4	0.8199	2,683	1.36	7,370	2,003	0.2123	2,123.47	0.13	77,053	43,479	0.0198	197.81	3.14	105.26	0.33	99.01	0.63	99.01	0.31	99.01	0.33	99.01	5.9	0.01	21	0.3	-13.4	null	null	null	null	null	0	-14,545	0.02	0.76	122,563	0.83	-0.01	11,028	-0.014	0.93	40,851	0.94	0	-9,810	0.011	0.75	173,055	0.754	-0.1	-129,478	-0.093	0.72	866	0.734	0.43	-459,524	0.41	0.75	3,875	0.777	0.7192	100	0	872	0.43	13	0.875	0.773	accelerating	0.43	3.03	13	13	28	134	0.929	0.932	0.932	0.875	0.773	59,136	61,460	61,468	2	6	accelerating	0.1	null	90.22
VFVMBXFP	Lady Jaye	Food and Drink	Restaurants	American restaurant	American restaurant, Bar, Hamburger restaurant, Restaurant, Sandwich shop	4523 California Ave SW, Seattle, WA 98116	4523 California Ave SW	Seattle	Washington	Genesee	Junction	98,116	US	true	47.562212	-122.387005	America/Los_Angeles	(206) 45-***	2	null	true	Seattle	Washington	US	http	http://ladyjaye.com	ladyjaye.com	ladyjaye.com	com	2,498	2019-05-29	2027-05-29	GoDaddy.com, LLC	purchase_dataset@ladyjaye.com	realdomain	1	0	1	Rustic-chic spot for smoked meats, sides & cocktails plus a large outdoor fire pit.	4.66	419	{"1": 9, "2": 12, "3": 13, "4": 42, "5": 338}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great beer selection, Great cocktails, 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, La(...TRUNCATED)	Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Brunch reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	purchase_dataset@	true	true	8	https://www.instagram.com/ladyjayewest	ladyjayewest	https://www.facebook.com/ladyjayewest	ladyjayewest	https://twitter.com/ladyjayewest	ladyjayewest	https://www.tiktok.com/@ladyjayeseattle	ladyjayeseattle	https://www.linkedin.com/company/lady-jaye	lady-jaye	null	null	null	null	null	null	https://www.pinterest.com/ladyjayewest	ladyjayewest	12,972	0.91	null	null	null	null	4,169	null	null	null	null	6,008	366	40,000	3.13	null	3.78	3.19	3.13	https://toasttab.com/ladyjaye/v3	https://google.com/maps/reserve/v/dine/c/xyjswt28dgw?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/xyjswt28dgw?source=pa&opi=79508299	2026-03-19T11:00:39.771285+00:00	1.76	1.82	0	2,170.8	13.6	50.4244	3.14	93.2	87.4	91.9	0.8473	1	0.7274	0.5887	0.6557	0.7265	0.7825	0.7938	86.4	82.8	100	83.33	11.11	5.56	74.36	15.38	10.26	79.01	13.58	7.41	improving	improving	0.2726	3.6	0.0717	4.3	2	18	39	81	83.7	32.8	100	100	89.2	84	916	1,584	1,745	5,824	7,637	9,754	263,621	340,026	396,219	283,165	916	377,359	71	440,256	297,360	101	452,166	105,619	101	43,628	120	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8651	0.3512	0.6658	-0.3512	0.0275	0.4679	0.2012	0.4334	-0.2012	0.2599	0.5838	0.3145	0.6361	-0.3145	0.0572	100	70	100	377,359	347,466	440,256	0.4809	0.5176	0.401	0.7033	0.7265	64.7	4.02	374	81.1	0.5551	19.5	0.64	45	10.8	0.29	297,360	170,363	452,166	0.596	0.7568	0.3944	0.7463	0.7825	75	4.39	600	84.4	0.6525	9.2	0.27	-181	7.5	0.1926	105,619	121,580	43,628	0.8455	Average	0.8155	0.941	0.8215	0.7938	Average	80.3	4.49	1,498	87.5	Market Leader	0.6956	3.9	0.17	-1,079	4.4	0.1495	71	101	101	391	9	competitive	0.0157	22.28	10	15.7	67.1	7.1	3,390	1,341	competitive	0.0069	1.27	76	24	7,103	5,490	competitive	0.0028	0.32	43	57	0.3633	0.6838	-0.3633	0.0095	100	101	68	719	1,120	0.9793	0.7749	0.6587	0.8315	0.9209	81	4.55	1,551	89.2	0.7275	3.2	0.11	-1,132	2.7	0.1176	competitive	0.0027	0.27	37	63	0.8218	3.15	1.1	0.3502	0.7261	-0.3502	-0.0328	100	101	241	3,322	7,345	0.9856	0.8047	0.5822	0.8538	0.9288	81.9	4.66	1,540	92.2	0.7581	2.3	0	-1,121	-0.3	0.087	competitive	0.0027	0.5643	1	0.11	0.8103	0.2094	0.3682	-0.2094	0.3251	828,388	62.9	3.88	394	76.6	0.4737	21.3	0.78	25	0.3714	0.9857	0.7553	0.6358	0.8245	0.9123	11,297	0.8116	15.3	198,031	301,230	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	19	0.36	10	0.3321	0.9799	0.7718	0.6525	0.8311	0.9236	54	59.82	36.03	0.9616	2,683	1.36	7,370	2,003	0.2105	2,104.92	0.13	77,053	43,479	0.02	199.9	2.48	140.85	0.48	99.01	0.08	99.01	0.07	99.01	0.07	99.01	2.5	0	9	-0.1	-30.8	null	null	null	null	null	0.02	-42,726	0.058	0.47	377,347	0.481	0.04	-77,025	0.102	0.58	297,325	0.596	-0.03	46,286	-0.068	0.87	105,295	0.846	0	-130,276	0.152	0.82	68	0.979	0.48	-463,158	0.619	0.81	241	0.986	0.8451	null	null	412	0.07	2	0.343	0.29	decelerating	0.07	0.47	2	2	26	86	0.439	0.452	0.454	0.343	0.29	417,455	437,538	435,431	40	271	decelerating	-0.36	null	95.85
WVK35CYY	Wedgwood Public house	Food and Drink	Restaurants	American restaurant	American restaurant, Cocktail bar	8515 35th Ave NE, Seattle, WA 98115	8515 35th Ave NE	Seattle	Washington	Wedgwood	Wedgwood	98,115	US	true	47.69062	-122.290915	America/Los_Angeles	(206) 88-***	2	null	true	Seattle	Washington	US	http	http://wedgwoodpublichouse.com	wedgwoodpublichouse.com	wedgwoodpublichouse.com	com	575	2024-09-02	2034-09-02	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	Longtime local hangout known for casual pub eats, rotating craft beers, cocktails & billiards.	4.34	387	{"1": 21, "2": 11, "3": 20, "4": 90, "5": 235}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Live music, Serves local specialty, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy	Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/wedgwood_public_house	wedgwood_public_house	https://www.facebook.com/p/wedgwood-public-house-61565582863878	wedgwood-public-house-61565582863878	null	null	null	null	null	null	null	null	null	null	null	null	null	null	64	0.14	null	null	null	null	190	null	null	null	null	null	null	null	null	null	null	null	null	https://masalawedgwood.com	null	null	2026-03-19T07:46:29.242770+00:00	0.01	2.73	1.1	2,125.29	36.4	50.4244	3.14	86.8	86.3	86	0.7065	1	0.5368	0.5223	0.4315	0.7607	0.815	0.8164	76.8	71.6	100	75	12.5	12.5	73.81	21.43	4.76	68.49	26.03	5.48	improving	improving	0.4632	5.2	0.1053	7.3	1	8	42	73	74.6	35.1	40	100	81.6	84	989	3,700	1,897	6,172	16,819	10,414	277,813	701,925	420,617	298,366	989	545,678	15	682,696	84,982	101	140,773	82,075	101	44,847	353	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8846	0.3244	0.6598	0.6756	-0.123	0.2186	0.125	0.4954	0.875	0.0414	0.8529	0.4327	0.6416	0.5673	-0.1048	100	14	100	545,678	497,138	682,696	0.2549	0.3152	0.0737	0.6617	0.7607	61.3	3.84	161	80.3	0.5678	14	0.5	226	5.7	0.1325	84,982	96,562	140,773	0.8808	0.8575	0.8112	0.8783	0.815	79.3	4.46	988	87	0.6626	-4	-0.12	-601	-1	0.0377	82,075	107,785	44,847	0.8799	Below Average	0.8361	0.9393	0.8522	0.8164	Market Leader	80.6	4.5	1,490	87.9	Market Leader	0.7003	-5.3	-0.16	-1,103	-1.9	0	15	101	101	718	18	competitive	0.1464	4.46	14.3	35.7	35.7	14.3	3,640	1,642	competitive	0.0039	1.27	54	46	8,381	5,162	competitive	0.0026	0.32	44	56	0.3533	0.6791	0.6467	-0.1423	100	101	894	1,903	1,233	0.7244	0.4131	0.6246	0.5917	0.7079	80.9	4.55	1,564	89.1	0.7226	-5.6	-0.21	-1,177	-3.1	-0.0223	competitive	0.0025	0.27	38	62	0.6011	3.15	1.1	0.3402	0.7165	0.6598	-0.1797	100	101	4,050	8,473	7,760	0.7668	0.5096	0.5583	0.6537	0.7236	81.9	4.66	1,540	92.2	0.7581	-6.6	-0.32	-1,153	-6.2	-0.0578	competitive	0.0025	0.5643	1	0.11	0.6271	0.2094	0.3682	0.7906	0.1686	828,388	62.9	3.88	394	76.6	0.4737	12.4	0.46	-7	0.2266	0.7954	0.4931	0.6164	0.6463	0.7237	167,095	0.651	9.4	413,304	317,225	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	10.1	0.04	-22	0.1873	0.7095	0.3896	0.6253	0.5735	0.6961	770	59.82	32.65	0.8982	2,683	1.36	7,370	2,003	0.2122	2,122.32	0.13	77,053	43,479	0.02	199.92	214.24	666.67	0.15	99.01	0.07	99.01	0.06	99.01	0.06	99.01	-3.9	0	2	0	-27	null	null	null	null	null	0.03	-69,759	0.094	0.22	545,676	0.255	0.01	-23,294	0.03	0.85	84,850	0.881	-0.01	27,143	-0.04	0.88	81,466	0.88	-0.22	-129,450	-0.103	0.6	894	0.724	0.3	-459,349	0.4	0.63	4,050	0.767	0.7003	100	0	386	0.1	3	0.457	0.405	decelerating	0.1	0.7	3	3	12	77	0.557	0.57	0.571	0.457	0.405	331,227	345,950	344,596	33	233	decelerating	-0.13	null	92.47
TZEK7KHE	El Ranchon Family Mexican Restaurant	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	3416 W McGraw St, Seattle, WA 98199	3416 W McGraw St	Seattle	Washington	Briarcliff	Magnolia	98,199	US	true	47.639684	-122.401876	America/Los_Angeles	(206) 28-***	2	null	true	Seattle	Washington	US	https	https://elranchonmagnolia.com	elranchonmagnolia.com	elranchonmagnolia.com	com	2,198	2020-03-24	2026-03-24	Register.com - Network Solutions, LLC	null	null	0	0	0	"Standard Mexican cuisine & margaritas in a relaxed, family-friendly dining room with booth seating.(...TRUNCATED)	4.47	422	{"1": 11, "2": 17, "3": 29, "4": 75, "5": 291}	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, Hard liquor, Quick bite, Small plates, Vegetarian o(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy	Family-friendly, Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	3	https://www.instagram.com/elranchonmagnolia	elranchonmagnolia	https://www.facebook.com/elranchonmagnolia	elranchonmagnolia	null	null	null	null	null	null	null	null	null	null	null	null	null	null	243	5.66	null	null	null	null	30	null	null	null	null	null	null	null	null	null	null	null	null	https://elranchonmagnolia.com/regular-menu.html	null	null	2026-03-19T05:39:00.246808+00:00	0.03	1.82	0.5	2,224.06	36.4	50.4244	3.14	89.4	87.5	86.5	0.732	1	1	0.7663	0.5672	0.9337	0.7784	0.8522	100	78.4	100	100	0	0	88.89	11.11	0	76.19	23.81	0	stable	improving	0	21.6	0.4328	27.6	1	6	9	21	80.8	42.8	76	83	97.9	84	908	2,863	1,732	5,798	13,072	9,695	262,444	553,339	394,187	281,908	908	65,249	20	575,890	77,104	101	96,139	123,739	101	30,833	257	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8723	0.3483	0.6556	0.6517	0.3444	0.7146	0.3026	0.6567	0.6974	0.3433	0.8752	0.3325	0.6586	0.6675	0.3414	100	19	100	65,249	32,760	575,890	0.9094	0.9518	0.2175	0.9628	0.9337	72.6	4.51	277	88.7	0.6655	8.8	-0.04	145	-2.2	0.0641	77,104	96,562	96,139	0.8915	0.8575	0.8711	0.8739	0.7784	79.5	4.46	1,095	86.9	0.6512	1.9	0.01	-673	-0.4	0.0784	123,739	95,476	30,833	0.821	Strong	0.8547	0.9582	0.865	0.8522	Market Leader	80.1	4.51	1,577	88.1	Market Leader	0.7084	1.3	-0.04	-1,155	-1.6	0.0212	20	101	101	202	10	competitive	0.0743	6.05	0	15.8	68.4	15.8	3,866	1,292	competitive	0.0038	1.27	48	52	6,708	5,046	competitive	0.0027	0.32	48	52	0.3633	0.6838	0.6367	0.3162	100	101	256	1,367	1,113	0.9188	0.575	0.6617	0.6103	0.76	81	4.55	1,551	89.2	0.7275	0.4	-0.08	-1,129	-2.7	0.0021	competitive	0.0027	0.27	37	63	0.7385	3.15	1.1	0.3502	0.7255	0.6498	0.2745	100	101	937	6,134	7,082	0.9447	0.6438	0.5974	0.6702	0.7733	82	4.66	1,519	92.2	0.7593	-0.6	-0.19	-1,097	-5.7	-0.0297	competitive	0.0028	0.5643	1	0.11	0.7502	0.2094	0.3682	0.7906	0.6318	828,388	62.9	3.88	394	76.6	0.4737	18.5	0.59	28	0.2559	0.9507	0.605	0.6376	0.6618	0.7677	39,353	0.753	9.9	320,135	299,738	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	16.2	0.17	13	0.2166	0.9195	0.557	0.6562	0.5981	0.7599	210	59.82	31.24	0.8553	2,683	1.36	7,370	2,003	0.2105	2,104.92	0.13	77,053	43,479	0.0197	197.2	55.18	500	0.15	99.01	0.07	99.01	0.07	99.01	0.08	99.01	5.2	0.01	8	0.3	-21	null	null	null	null	null	0.05	-84,774	0.118	0.71	65,242	0.909	0	-428	-0.001	0.88	76,918	0.892	-0.04	72,990	-0.105	0.87	122,943	0.821	-0.08	-130,088	0.092	0.74	256	0.919	0.42	-462,462	0.578	0.75	937	0.945	0.7296	100	0	418	0.07	2	0.372	0.368	stable	0.07	0.47	2	2	7	26	0.439	0.452	0.454	0.372	0.368	417,455	437,538	435,431	122	757	stable	-0.06	null	91.06
YZE4CRR4	Laredo's Grill	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Tex-Mex restaurant	555 Aloha St, Seattle, WA 98109	555 Aloha St	Seattle	Washington	Queen Anne	Lower Queen Anne	98,109	US	true	47.627019	-122.345982	America/Los_Angeles	(206) 21-***	2	null	true	Seattle	Washington	US	http	http://laredostexmex.com	laredostexmex.com	laredostexmex.com	com	1,263	2022-10-15	2027-10-15	Name.com, Inc.	null	null	0	0	0	"Lively neighborhood cantina serving mesquite-grilled Tex-Mex & northern Mexican fare, plus tequila.(...TRUNCATED)	4.35	896	{"1": 33, "2": 32, "3": 97, "4": 278, "5": 630}	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, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	1	null	null	https://www.facebook.com/laredosgrill	laredosgrill	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://laredostexmex.com	https://google.com/maps/reserve/v/dine/c/jtaiakoavhq?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/jtaiakoavhq?source=pa&opi=79508299	2026-03-19T05:28:25.250820+00:00	0	1.82	2.9	2,122.32	109.3	50.4244	3.13	87	98.4	84.8	0.704	0.75	0.55	0.6901	0.7568	0.6645	0.895	0.8164	77.5	87.8	100	75	25	0	82.61	8.7	8.7	88.71	8.06	3.23	improving	declining	0.2	-10.3	-0.2068	-11.7	2	4	23	62	72	32.8	8	100	81.1	84	406	3,631	689	2,595	16,455	4,055	117,866	688,328	164,054	127,528	406	101,201	101	65,282	44,889	101	27,941	105,619	101	188,490	347	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.7996	0.4054	0.6664	0.5946	0.0736	0.8375	0.2213	0.4526	0.7787	0.2874	0.9346	0.3583	0.6646	0.6417	0.0754	100	100	100	101,201	189,008	65,282	0.8595	0.7347	0.9109	0.6776	0.6645	70.8	4.23	718	80.6	0.5338	3	0.12	178	4.2	0.1703	44,889	64,704	27,941	0.9361	0.9047	0.9626	0.9069	0.895	80.3	4.5	1,492	87.7	0.6917	-6.5	-0.15	-596	-2.9	0.0124	105,619	136,818	188,490	0.8455	Market Leader	0.7933	0.7449	0.8215	0.8164	Market Leader	80.3	4.48	1,111	87.5	Strong	0.7003	-6.5	-0.13	-215	-2.7	0.0038	101	101	101	736	118	competitive	0.0123	31.83	0	13	73	14	2,525	1,015	competitive	0.006	1.27	48	52	6,678	5,049	competitive	0.008	0.32	44	56	0.3533	0.6791	0.6467	0.0609	100	101	1,049	1,868	502	0.6775	0.4217	0.8464	0.5354	0.7162	80.9	4.55	1,564	89.1	0.7226	-7.1	-0.2	-668	-4.3	-0.0185	competitive	0.0057	0.27	38	62	0.6514	3.15	1.1	0.3402	0.7163	0.6598	0.0237	100	101	4,959	8,289	3,250	0.7152	0.519	0.8152	0.6085	0.7298	81.9	4.66	1,543	92.2	0.7584	-8.1	-0.31	-647	-7.4	-0.0543	competitive	0.0058	0.5643	1	0.11	0.6863	0.2094	0.3682	0.7906	0.3718	828,388	62.9	3.88	394	76.6	0.4737	10.9	0.47	502	0.2304	0.7503	0.5011	0.8364	0.6077	0.7294	204,367	0.7014	8.2	406,572	135,256	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	8.6	0.05	487	0.1911	0.6637	0.3993	0.8535	0.5145	0.7051	889	59.82	29.73	0.7901	2,683	1.36	7,370	2,003	0.2122	2,122.32	0.13	77,053	43,479	0.02	200.29	1.52	99.01	0.36	99.01	0.64	99.01	0.32	99.01	0.33	99.01	-2.6	0.01	6	0.1	-51	null	null	null	null	null	-0.03	35,725	-0.05	0.84	101,166	0.86	-0.01	14,225	-0.018	0.93	44,407	0.936	0	-24,243	0.029	0.8	104,895	0.846	-0.17	-129,295	-0.149	0.65	1,049	0.678	0.36	-458,440	0.348	0.69	4,959	0.715	0.7041	100	0	893	0.07	2	0.372	0.368	decelerating	0.07	0.47	2	2	8	65	0.439	0.452	0.454	0.372	0.368	417,455	437,538	435,431	122	757	decelerating	0	null	89.55
ZE3RU49M	Derby	Food and Drink	Restaurants	New American restaurant	"New American restaurant, Automobile storage facility, Bar, Catering food and drink supplier, Event (...TRUNCATED)	2233 6th Ave S, Seattle, WA 98134	2233 6th Ave S	Seattle	Washington	SODO	Industrial District	98,134	US	true	47.582849	-122.326789	America/Los_Angeles	(206) 46-***	2	null	true	Seattle	Washington	US	https	https://derbyrestaurants.com/seattle	derbyrestaurants.com/seattle	derbyrestaurants.com	com	1,911	2021-01-05	2027-01-05	GoDaddy.com, LLC	"purchase_dataset@derbyrestaurants.com, purchase_dataset@derbyrestaurants.com, purchase_dataset@derb(...TRUNCATED)	realdomain	6	6	0	Clubby new American kitchen focused on classic comfort food & cocktails amidst classic cars.	4.39	949	{"1": 24, "2": 30, "3": 85, "4": 244, "5": 641}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Qu(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Brunch reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/derby.houston	derby.houston	https://www.facebook.com/derbyrestaurantdallas	derbyrestaurantdallas	https://twitter.com/darleysderby	darleysderby	https://www.tiktok.com/@derbyrestauranthtx	derbyrestauranthtx	https://www.linkedin.com/in/jonathan-derby-635a6730	jonathan-derby-635a6730	null	null	null	null	null	null	null	null	22,865	0.46	null	null	null	null	258	null	null	null	null	666	5	1,853	2.93	null	null	null	1.68	https://derbyrestaurants.com/seattle/menu	https://opentable.com/r/derby-the-shop-seattle-reservations-seattle?restref=992536&lang=en-us&ot_source=google	https://opentable.com/r/derby-the-shop-seattle-reservations-seattle?restref=992536&lang=en-us&ot_source=google	2026-03-19T04:32:50.980235+00:00	3.1	4.55	0	2,185.69	21.8	50.4244	3.13	87.8	99.3	85.7	0.702	0.5	0.9	0.4751	0.4716	0.2866	0.9039	0.7121	95	73.6	100	100	0	0	72.73	21.21	6.06	73.81	22.62	3.57	declining	improving	-0.4	21.4	0.4284	29.1	1	10	33	84	82.3	38.5	80	100	93.5	84	369	3,364	626	2,362	15,311	3,679	107,428	643,668	149,060	116,513	369	459,193	45	423,875	44,889	101	35,633	132,720	101	125,663	314	2,583	5,496	14,472	31,266	724,238	1,424,284	724,238	0.8106	0.4022	0.6517	0.0978	0.0971	0.3926	0.1558	0.4251	0.3442	0.3237	0.9286	0.3512	0.6554	0.1488	0.0934	100	44	100	459,193	440,677	423,875	0.3705	0.3914	0.4233	0.4581	0.2866	63.2	3.91	385	76.7	0.4211	19	0.48	564	9	0.279	44,889	71,330	35,633	0.9361	0.8948	0.9522	0.9032	0.9039	80.3	4.49	1,405	87.6	0.6957	1.9	-0.1	-456	-1.9	0.0044	132,720	136,818	125,663	0.8091	Below Average	0.7933	0.83	0.7966	0.7121	Market Leader	80	4.48	1,225	87.2	Market Leader	0.6786	2.2	-0.09	-276	-1.5	0.0215	45	101	101	646	232	competitive	0.0531	14.01	9.1	20.5	63.6	6.8	3,389	1,432	competitive	0.0067	1.27	44	56	7,606	5,011	competitive	0.0077	0.32	47	53	0.3583	0.6818	0.1417	0.067	100	101	189	1,699	459	0.9416	0.4706	0.8601	0.578	0.7098	80.9	4.55	1,565	89.1	0.722	1.3	-0.16	-616	-3.4	-0.0219	competitive	0.006	0.27	38	62	0.7758	3.15	1.1	0.3402	0.7208	0.1598	0.028	100	101	664	7,550	2,995	0.9608	0.5614	0.8296	0.6456	0.7257	81.9	4.66	1,550	92.1	0.757	0.3	-0.27	-601	-6.4	-0.0569	competitive	0.0061	0.5643	1	0.11	0.8017	0.2094	0.3682	0.2906	0.3806	828,388	62.9	3.88	394	76.6	0.4737	19.3	0.51	555	0.2264	0.9637	0.535	0.8506	0.6345	0.7234	28,808	0.8011	9.1	378,286	123,601	24.3	58.7	7.7	9.2	828,389	2,683	65.2	4.3	409	80.2	0.513	17	0.09	540	0.1871	0.9415	0.4508	0.8661	0.5597	0.6954	154	59.82	29.96	0.8001	2,683	1.36	7,370	2,003	0.2123	2,123.47	0.13	77,053	43,479	0.0201	201.12	28.18	222.22	0.45	99.01	0.59	99.01	0.36	99.01	0.37	99.01	-2.5	-0.02	19	-0.3	-46.4	null	null	null	null	null	0.01	-39,278	0.053	0.39	459,190	0.371	0	3,903	-0.005	0.93	44,760	0.936	-0.01	8,401	-0.015	0.81	132,523	0.809	-0.05	-130,155	0.115	0.78	189	0.942	0.47	-462,735	0.594	0.8	664	0.961	0.7001	100	0	941	0.17	5	0.538	0.462	decelerating	0.17	1.17	5	5	24	94	0.719	0.729	0.729	0.538	0.462	213,014	221,732	221,154	12	20	decelerating	-0.06	null	89.78

End of preview. Expand in Data Studio

All Restaurants in Seattle, Washington, US

Free sample dataset from BeamStation

This dataset provides a weekly refreshed export of every restaurant operating in Seattle, Washington, United States. It contains 2,052 records, each representing a distinct establishment with all available profile columns such as name, address, cuisine type, contact information, hours of operation, and any additional attributes supplied by the source. Researchers, urban planners, food‑industry analysts, and developers building local‑guide applications can use this comprehensive list to study market saturation, track opening and closing trends, or power recommendation engines. Because the file is updated each week, users can rely on it for timely insights without needing to scrape multiple sources. The data is limited to Seattle proper, ensuring geographic specificity, and includes every column the provider makes public, so no relevant field is omitted. Access the dataset directly at https://beamstation.com/datasets/803541/ for download or integration into your workflow.

Dataset Details

Field	Value
Full dataset	2,052 records
Sample size	25 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/all-restaurants-in-seattle-washington-us-803541")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 2,052 records and unmasked contact data is available at:

All Restaurants in Seattle, Washington, US on BeamStation

License

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

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