Datasets:

beamstation
/

restaurant-verified-email-access-in-washington-d-c-district-of-columbia-us-164152

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place string	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age 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	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube null	social_username_youtube null	social_profile_github null	social_username_github null	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest null	social_username_pinterest null	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m null	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_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_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_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_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
556MVFJ4	Punta Cana Tropical Grill	Food and Drink	Restaurants	Caribbean restaurant	Caribbean restaurant	9324 Georgia Ave, Silver Spring, MD 20910	9324 Georgia Ave	Washington	District of Columbia	null	null	20,910	US	true	39.007782	-77.040379	America/New_York	(240) 74-***	1	null	true	true	Silver Spring	true	Washington	District of Columbia	US	https	https://puntacanatropicalgrill.com	puntacanatropicalgrill.com	puntacanatropicalgrill.com	com	972	2023-08-09	2026-08-09	Squarespace Domains II LLC	purchase_dataset@gmail.com	null	1	1	null	true	false	4.73	83	{"1": 4, "2": 2, "3": 0, "4": 0, "5": 82}	Outdoor seating, Curbside pickup, Delivery, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible parking lot	Coffee, Comfort food, Quick bite, Small plates	Lunch, Dinner, Dessert, Seating	Gender-neutral restroom, Restroom, Wi-Fi	Casual	Family-friendly	null	Credit cards, Debit cards	Good for kids	true	true	purchase_dataset@	true	true	2	2024-01-06	2026-02-18	822	48	39	822	822	48	48	https://www.instagram.com/puntacanatropicalgrill	puntacanatropicalgrill	null	null	null	null	https://www.tiktok.com/@punta.cana.tropical	punta.cana.tropical	null	null	null	null	null	null	null	null	null	null	1,978	2.36	null	1.69	3.04	2.36	55	83	1	4	0.54	null	null	null	null	null	null	null	2026-04-07T22:15:07.724043+00:00	0.29	2.82	1.1	4,502.35	35.3	25.9307	1.5	94.6	64.1	92.8	0.8289	null	0.7563	0.7083	0.7083	0.4812	0.8138	0.8945	87.8	85.4	null	null	null	100	0	0	100	0	0	100	0	0	stable	stable	null	2.4	0.048	2.8	0	8	9	9	77.8	255.6	-100	72	32.8	56	67	88.9	44	2,521	1,032	4,017	2,521	1,031	4,017	485,820	275,767	837,938	521,576	2,521	647,836	16	657,500	342,600	93	349,580	488,339	99	131,757	115	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.4015	0.0405	0.5114	-0.0405	0.1969	0.1565	0	0.0563	0	0.652	0.4094	0.0426	0.473	-0.0426	0.2353	98	15	92	647,836	569,658	657,500	0.1297	0.2295	0.1192	0.3971	0.4812	35.1	0.36	219	12.7	0.4806	7.8	0.18	-134	-2.1	0.3483	342,600	673,469	349,580	0.5411	0.1045	0.5386	0.0962	0.8138	47.8	0.31	903	5.5	0.6669	-4.9	0.23	-818	5.1	0.162	488,339	707,081	131,757	0.3448	Emerging	0.0543	0.8244	0.0289	0.8945	Average	47.5	0.26	1,746	3.8	Average	0.7342	-4.6	0.28	-1,661	6.8	0.0947	16	93	99	327	4	competitive	0.0252	4.77	66.7	33.3	0	0	2,896	1,518	competitive	0.001	1.17	7.6	88	4.3	0	7,985	5,145	competitive	0.0005	0.31	10.2	89.8	0	0.0846	0.5765	-0.0846	0.1318	100	101	1,176	784	4,067	0.732	0.8207	0.0797	0.8332	0.8735	49.1	0.54	3,033	5.9	0.7907	-6.2	0	-2,948	4.7	0.0382	competitive	0.0003	0.56	3	91	5	1	0.5629	1.5	0.71	0.0846	0.5765	-0.0846	0.1318	100	101	1,137	784	4,089	0.7407	0.821	0.074	0.833	0.8828	49.1	0.54	3,056	5.9	0.7899	-6.2	0	-2,971	4.7	0.039	competitive	0.0003	0.5643	1.51	0.71	0.5648	0.059	0.2307	-0.059	0.4776	791,801	41.1	0.94	531	20.4	0.4595	1.8	-0.4	-446	0.3694	0.5519	0.5713	0.3414	0.5793	0.907	352,405	0.4946	-9.8	338,787	520,344	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	10.7	0.88	-308	0.2293	0.6652	0.6471	0.3381	0.81	0.7579	1,210	62.25	-1	0.3175	3,648	1.45	6,895	3,895	0.4399	4,398.54	1.45	6,895	3,891	0.4432	4,431.85	6.37	625	0.01	107.53	0	101.01	0	99.01	0	99.01	-35.4	-4.24	3	-83.3	-35	null	null	null	null	null	0.03	24,509	-0.022	0.16	647,835	0.13	-0.31	201,673	-0.265	0.41	342,598	0.541	-0.45	405,482	-0.535	0.4	488,328	0.345	-0.11	277	-0.06	0.56	1,176	0.732	-0.11	296	-0.064	0.56	1,137	0.741	0.8289	null	null	83	0.07	2	0.833	0.833	decelerating	0.07	0.47	2	2	11	53	0.732	0.739	0.74	0.833	0.833	156,567	163,872	163,540	3	3	decelerating	-0.03	null	91.46
BVVXGHRP	Golden China Chinese Restaurant	Food and Drink	Restaurants	Chinese restaurant	Chinese restaurant	1703 6th St NW, Washington, DC 20001	1703 6th St NW	Washington	District of Columbia	Northwest Washington	Shaw	20,001	US	true	38.912804	-77.019541	America/New_York	(202) 23-***	2	OPERATIONAL	true	true	null	true	Washington	District of Columbia	US	https	https://goldenchina1703.com	goldenchina1703.com	goldenchina1703.com	com	2,782	2018-08-25	2026-08-25	GoDaddy.com, LLC	purchase_dataset@chinesemenuonline.com	null	1	1	null	true	false	3.48	89	{"1": 25, "2": 6, "3": 3, "4": 14, "5": 43}	No-contact delivery, Delivery, Onsite services, Takeout	null	Lunch, Dinner	null	Comfort food, Quick bite	Lunch, Dinner	null	Casual	null	null	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/100063697147974/mentions	100063697147974	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://goldenchina1703.com/menu	null	null	2026-04-07T19:42:00.726134+00:00	0	2.82	5.2	4,415.62	70.7	25.9307	1.5	69.6	65.1	62.9	0.25	1	1	0.9039	0.8116	0.8952	0.971	0.8771	100	90.6	100	0	0	100	0	0	100	0	0	94.44	5.56	0	stable	improving	0	9.4	0.1884	10.4	1	3	6	18	0	-33.3	0	66.2	57.8	8	83	90.5	100	2,482	5,621	3,943	2,482	5,621	3,943	480,238	1,215,417	823,743	515,457	2,482	227,437	101	124,249	319,278	101	11,757	464,512	95	181,760	1,175	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.3983	0.0536	0.5824	0.9464	0.4176	0.612	0.036	0.3355	0.964	0.6645	0.611	0.0805	0.5143	0.9195	0.4857	94	100	100	227,437	526,634	124,249	0.6897	0.2872	0.8332	0.1515	0.8952	44.4	0.43	880	7	0.6422	-5.8	-0.42	-791	-7	-0.3922	319,278	531,559	11,757	0.5712	0.2908	0.9845	0.1009	0.971	48.2	0.52	3,129	5.6	0.7734	-9.6	-0.51	-3,040	-5.6	-0.5234	464,512	694,975	181,760	0.3751	Average	0.0697	0.7577	0.0448	0.8771	Average	48	0.29	1,565	4.4	Below Average	0.7268	-9.4	-0.28	-1,476	-4.4	-0.4768	101	101	95	659	257	competitive	0.001	31.83	33	61	5	1	2,465	1,038	competitive	0.0003	1.27	4	91	5	0	7,831	5,013	competitive	0.0006	0.3	2.1	95.7	2.1	0.0846	0.5781	0.9154	0.4219	100	101	1,872	2,355	4,077	0.5731	0.4382	0.0772	0.5299	0.2014	49.1	0.54	3,045	5.9	0.7909	-10.5	-0.53	-2,956	-5.9	-0.5409	competitive	0.0003	0.56	3	91	5	1	0.3839	1.5	0.71	0.0846	0.5831	0.9154	0.4169	100	101	1,841	2,331	4,052	0.5802	0.4431	0.0833	0.5284	0.2048	49.2	0.54	3,032	5.9	0.7907	-10.6	-0.53	-2,943	-5.9	-0.5407	competitive	0.0003	0.5643	1.51	0.71	0.39	0.059	0.2307	0.941	0.7693	791,801	41.1	0.94	531	20.4	0.4595	-2.5	-0.93	-442	-0.2095	0.4285	0.1221	0.3472	0	0.2625	450,406	0.3122	-20.4	689,823	515,805	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	-11.2	-3.12	-302	-0.2347	0.2657	0	0.3488	0	0.2183	2,677	62.25	5.93	0.3622	3,648	1.45	6,895	3,895	0.4416	4,415.62	1.45	6,895	3,891	0.4398	4,397.51	0.01	99.01	0	99.01	0	105.26	0	99.01	0	99.01	-25.2	-3.46	1	-62.5	0	null	null	null	null	null	-0.29	187,756	-0.255	0.61	227,317	0.69	-0.36	298,936	-0.4	0.61	317,656	0.571	-0.45	403,775	-0.537	0.4	461,744	0.375	0.1	-794	0.182	0.38	1,872	0.573	0.1	-817	0.189	0.39	1,841	0.58	0.25	100	0	91	0.07	2	0.931	0.944	accelerating	0.07	0.47	2	2	4	20	0.732	0.739	0.74	0.931	0.944	156,567	163,872	163,540	4	3	accelerating	0.07	null	68.18
6ER4DAGM	Elmina	Food and Drink	Restaurants	African restaurant	African restaurant	2208 14th St NW, Washington, DC 20009	2208 14th St NW	Washington	District of Columbia	Cardozo	U Street Corridor	20,009	US	true	38.919551	-77.032322	America/New_York	(202) 51-***	4	OPERATIONAL	true	true	null	true	Washington	District of Columbia	US	https	https://elminarestaurant.com	elminarestaurant.com	elminarestaurant.com	com	552	2024-10-02	2026-10-02	GoDaddy.com, LLC	purchase_dataset@elminarestaurant.com, purchase_dataset@knowpr.com	realdomain	2	2	null	true	false	4.36	250	{"1": 18, "2": 9, "3": 23, "4": 25, "5": 195}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Great cocktails, Great wine list	Dinner, Solo dining	null	"Alcohol, Beer, Cocktails, Hard liquor, Healthy options, Small plates, Vegan options, Vegetarian opt(...TRUNCATED)	Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Cozy, Trendy, Upscale	Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	2	2025-11-13	2026-02-09	145	57	24	145	145	57	57	https://www.instagram.com/elmina.dc	elmina.dc	https://www.facebook.com/p/elmina-restaurant-61576291172370	elmina-restaurant-61576291172370	null	null	null	null	null	null	null	null	null	null	null	null	null	null	22,748	1.94	null	2.38	1.94	1.94	130	null	null	null	null	null	null	null	null	null	https://opentable.com/restaurant/profile/1417888	https://opentable.com/restaurant/profile/1417888	2026-04-07T18:33:55.134541+00:00	3.3	11.27	0.5	4,494.97	35.3	25.9307	1.5	87.2	80	81.2	0.5939	null	0.0815	0.0841	0.0958	0.9009	0.9668	0.9123	54.1	54.8	null	null	null	33.33	14.81	51.85	31.03	13.79	55.17	33.33	13.33	53.33	stable	stable	null	-0.7	-0.0143	-1.3	0	27	29	30	86.2	260	-100	71.7	41.5	56	83	60	100	1,691	2,817	2,551	1,692	2,816	2,552	350,969	682,304	549,025	375,693	1,691	177,365	101	90,873	290,716	101	11,619	448,245	94	145,284	639	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.423	0.0549	0.5719	-0.0549	-0.4904	0.6228	0.0547	0.3272	-0.0547	-0.2457	0.6447	0.0647	0.5089	-0.0647	-0.4274	93	100	100	177,365	600,562	90,873	0.7573	0.1882	0.878	0.0841	0.9009	45.6	0.31	989	5	0.6466	-4.1	0.22	-735	5.2	-0.0527	290,716	486,512	11,619	0.6099	0.3511	0.9847	0.1473	0.9668	48.7	0.59	3,138	6.5	0.766	-7.2	-0.06	-2,884	3.7	-0.1721	448,245	690,400	145,284	0.3963	Average	0.0753	0.8063	0.0558	0.9123	Average	48.3	0.3	1,691	4.7	Average	0.7424	-6.8	0.23	-1,437	5.5	-0.1485	101	101	94	725	71	competitive	0.0026	31.83	13	85	2	0	2,357	1,013	competitive	0.0008	1.27	4	89	6	1	7,424	5,099	competitive	0.0016	0.3	4.3	93.5	2.2	0.0846	0.5794	-0.0846	-0.4979	100	101	1,415	794	3,848	0.6766	0.8191	0.129	0.8305	0.5038	49.1	0.54	3,041	5.9	0.7891	-7.6	-0.01	-2,787	4.3	-0.1952	competitive	0.0008	0.56	3	91	5	1	0.5551	1.5	0.71	0.0846	0.5835	-0.0846	-0.502	100	101	1,387	793	3,822	0.6827	0.8199	0.1351	0.8298	0.5071	49.2	0.54	3,036	5.9	0.7899	-7.7	-0.01	-2,782	4.3	-0.196	competitive	0.0008	0.5643	1.51	0.71	0.5596	0.059	0.2307	-0.059	-0.1492	791,801	41.1	0.94	531	20.4	0.4595	0.4	-0.41	-277	0.1344	0.5096	0.5703	0.5274	0.5774	0.5851	385,945	0.5331	-10.2	339,438	373,559	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	12.6	0.17	-141	0.1582	0.7242	0.351	0.5517	0.807	0.6356	993	62.25	18.5	0.5221	3,648	1.45	6,895	3,895	0.4409	4,409.43	1.45	6,895	3,891	0.4402	4,402.29	0.07	99.01	0.01	99.01	0.03	106.38	0.01	99.01	0.01	99.01	-31.9	-3.82	5	-70.9	-33.5	null	null	null	null	null	-0.29	149,430	-0.204	0.62	177,364	0.757	-0.32	269,140	-0.359	0.64	290,713	0.61	-0.47	403,220	-0.538	0.42	448,241	0.396	-0.03	-88	0.022	0.56	1,415	0.677	-0.03	-100	0.024	0.56	1,387	0.683	0.5939	null	null	250	0.27	8	0.889	0.889	decelerating	0.27	1.87	8	8	35	153	0.966	0.967	0.967	0.889	0.889	26,436	27,569	27,590	2	2	decelerating	-0.3	null	73.79
BUA7YBC2	Beau Thai	Food and Drink	Restaurants	Thai restaurant	Thai restaurant	1550 7th St NW A, Washington, DC 20001	1550 7th St NW A	Washington	District of Columbia	Northwest Washington	Shaw	20,001	US	true	38.909902	-77.022208	America/New_York	(202) 53-***	2	OPERATIONAL	true	true	null	true	Washington	District of Columbia	US	http	http://beauthaidc.com	beauthaidc.com	beauthaidc.com	com	5,657	2010-10-11	2026-10-11	GoDaddy.com, LLC	purchase_dataset@beauthaidc.com, purchase_dataset@beauthaidc.com, purchase_dataset@beauthaidc.com	realdomain	3	3	Traditional Thai dishes, specialty drinks & vegan/gluten-free options in a trendy restaurant.	true	true	4.28	818	{"1": 55, "2": 25, "3": 69, "4": 198, "5": 530}	Outdoor seating, No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great tea selection	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, Restroom	Casual, Cozy, Trendy	Groups, LGBTQ+ friendly, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	true	true	purchase_dataset@	true	true	3	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/beauthairestaurant	beauthairestaurant	https://twitter.com/beauthaidc	beauthaidc	null	null	https://www.linkedin.com/in/ralph-brabham-68946035	ralph-brabham-68946035	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://resy.com/cities/washington-dc/venues/beau-thai-shaw	https://resy.com/cities/washington-dc/venues/beau-thai-shaw	2026-04-07T17:13:07.980134+00:00	0	1.41	1.4	4,420.41	23.5	25.9307	1.5	85.6	97.1	82.8	0.6387	null	-0.3333	0.2106	0.4389	0.8837	0.9692	0.8777	33.3	71.9	null	null	null	33.33	66.67	0	58.33	41.67	0	71.43	28.57	0	stable	declining	null	-38.6	-0.7722	-53.7	0	3	12	28	-50	-57.1	-100	68.1	27.4	24	100	49	100	641	3,259	873	641	3,258	873	134,912	765,764	188,195	145,326	641	113,384	101	31,609	337,140	101	13,564	464,512	95	184,876	758	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.4047	0.0536	0.5751	-0.0536	-0.9084	0.7436	0.0324	0.4007	-0.0324	-0.734	0.5934	0.0805	0.4915	-0.0805	-0.8248	94	100	100	113,384	446,682	31,609	0.8443	0.3952	0.9576	0.1888	0.8837	47.5	0.57	1,393	7.9	0.6344	5	2.16	-517	40.6	0.0043	337,140	551,441	13,564	0.5485	0.2644	0.9821	0.0914	0.9692	47.9	0.49	3,006	5.4	0.7695	4.6	2.24	-2,130	43.1	-0.1308	464,512	674,530	184,876	0.3751	Strong	0.0952	0.7536	0.0725	0.8777	Average	48	0.33	1,556	5.1	Average	0.7271	4.5	2.4	-680	43.4	-0.0884	101	101	95	730	109	competitive	0.0062	31.83	11	81	7	1	2,349	1,013	competitive	0.0029	1.27	6	89	5	0	7,740	5,110	competitive	0.006	0.3	2.1	94.7	3.2	0.0846	0.5785	-0.0846	-0.9118	100	101	213	442	3,506	0.9516	0.8993	0.2067	0.9604	0.5645	49.1	0.54	3,048	5.9	0.7901	3.4	2.19	-2,172	42.6	-0.1514	competitive	0.0029	0.56	3	91	5	1	0.7124	1.5	0.71	0.0846	0.5785	-0.0846	-0.9118	100	101	203	441	3,467	0.9536	0.8995	0.2157	0.9602	0.57	49.1	0.54	3,048	5.9	0.7901	3.4	2.19	-2,172	42.6	-0.1514	competitive	0.0029	0.5643	1.51	0.71	0.716	0.059	0.2307	-0.059	-0.564	791,801	41.1	0.94	531	20.4	0.4595	11.4	1.79	345	0.1792	0.8121	0.7533	0.8137	0.7673	0.6447	147,329	0.7949	28.1	194,228	147,317	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	14.3	0.05	427	0.1678	0.7782	0.3063	0.8284	0.9633	0.6501	798	62.25	25.71	0.7357	3,648	1.45	6,895	3,895	0.442	4,420.41	1.45	6,895	3,891	0.442	4,420.41	0.39	99.01	0.08	99.01	0.35	105.26	0.08	99.01	0.08	99.01	-20.1	-1.54	59	-34.2	-21.1	null	null	null	null	null	-0.19	91,525	-0.125	0.74	113,318	0.844	-0.37	312,357	-0.416	0.59	336,652	0.549	-0.45	399,002	-0.529	0.4	463,786	0.375	0.07	-1,395	0.32	0.71	213	0.952	0.07	-1,366	0.313	0.72	203	0.954	0.6387	null	null	818	0.03	1	0.5	0.491	decelerating	0.03	0.23	1	1	4	30	0.507	0.515	0.517	0.5	0.491	253,363	266,224	265,236	10	10	decelerating	-0.04	null	85.52
2SZKE77S	Café du Parc	Food and Drink	Restaurants	Modern French restaurant	Modern French restaurant, Coffee shop	at Willard InterContinental, 1401 Pennsylvania Ave NW, Washington, DC 20004	at Willard InterContinental, 1401 Pennsylvania Ave NW	Washington	District of Columbia	Northwest Washington	Downtown	20,004	US	true	38.896383	-77.032374	America/New_York	(202) 94-***	2	null	true	true	null	true	Washington	District of Columbia	US	http	http://cafeduparc.com	cafeduparc.com	cafeduparc.com	com	7,078	2006-11-20	2027-11-20	Register.com - Network Solutions, LLC	null	null	0	0	"Inventive takes on French classics are turned out at this elegant spot with lots of outdoor seating(...TRUNCATED)	true	true	4.02	1,032	{"1": 85, "2": 83, "3": 120, "4": 200, "5": 577}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert, Great tea selection, Great wine list, Live music	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Hard liquor, Organic dishes, Vegetarian options, Wine	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Cozy, Historic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Brunch reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	false	true	purchase_dataset@	true	true	5	2021-10-11	2026-03-06	1,639	32	104	1,639	1,639	32	32	https://www.instagram.com/cafe_duparc	cafe_duparc	https://www.facebook.com/p/cafe-du-parc-100054231351553	cafe-du-parc-100054231351553	https://twitter.com/cdpkillarney	cdpkillarney	https://www.tiktok.com/@lecafeduparc	lecafeduparc	https://www.linkedin.com/company/cafe-du-parc	cafe-du-parc	null	null	null	null	null	null	null	null	518	5.55	null	null	null	null	44	24,400	97	1,400,000	7.61	null	2.81	2.5	2	https://cafeduparc.com	https://opentable.com/restaurant/profile/8094	https://opentable.com/restaurant/profile/8094	2026-04-07T12:21:51.508647+00:00	3.54	1.41	0	4,740.41	14.1	25.9307	1.49	80.4	100	72.3	0.2629	null	-0.0554	-0.0292	0.0857	0.8693	0.9683	0.8959	47.2	54.3	null	null	null	37.5	37.5	25	42.31	38.46	19.23	51.32	27.63	21.05	stable	declining	null	-7.1	-0.1411	-13.1	0	8	26	76	-38.5	-57.9	-100	71.6	27.4	92	100	42.3	100	409	4,418	540	409	4,418	540	83,863	980,565	112,388	90,393	409	87,085	101	7,005	307,603	100	18,473	464,512	99	222,105	1,016	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.3877	0.0352	0.5762	-0.0352	-0.6316	0.7901	0.0363	0.4275	-0.0363	-0.4829	0.6121	0.0793	0.5126	-0.0793	-0.568	98	100	99	87,085	391,919	7,005	0.8802	0.4695	0.9906	0.2018	0.8693	48.5	0.68	2,306	8.2	0.6252	9.4	2.02	-1,250	37.5	-0.3623	307,603	538,167	18,473	0.587	0.282	0.9756	0.1009	0.9683	48.4	0.51	2,689	5.6	0.7682	9.5	2.19	-1,633	40.1	-0.5053	464,512	680,006	222,105	0.3751	Strong	0.0883	0.7039	0.0486	0.8959	Average	48	0.32	1,450	4.5	Below Average	0.7348	9.9	2.38	-394	41.2	-0.4719	101	100	99	685	58	competitive	0.0046	31.83	6	83	11	0	2,486	1,044	competitive	0.004	1.26	4	91.9	3	1	7,390	5,001	competitive	0.0074	0.31	5.1	92.9	2	0.0846	0.5771	-0.0846	-0.6325	100	101	107	454	2,503	0.9751	0.897	0.4301	0.902	0.2094	49.1	0.54	3,038	5.9	0.7892	8.8	2.16	-1,982	39.8	-0.5263	competitive	0.0035	0.56	3	91	5	1	0.7882	1.5	0.71	0.0846	0.5853	-0.0846	-0.6407	100	101	108	453	2,487	0.9758	0.897	0.4358	0.9025	0.2107	49.2	0.54	3,042	5.9	0.7904	8.7	2.16	-1,986	39.8	-0.5275	competitive	0.0035	0.5643	1.51	0.71	0.7902	0.059	0.2307	-0.059	-0.2861	791,801	41.1	0.94	531	20.4	0.4595	16.8	1.76	525	-0.1966	0.8895	0.7493	0.8527	0.7502	0.2708	86,578	0.8364	25.3	197,519	116,502	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	15.1	-0.25	641	-0.0189	0.8029	0.2046	0.8922	0.8804	0.4053	706	62.25	16.29	0.476	3,648	1.45	6,895	3,895	0.4405	4,405.18	1.45	6,895	3,891	0.4412	4,411.76	0.21	99.01	0.16	100	0.54	101.01	0.12	99.01	0.12	99.01	-18	-1.32	25	-26.6	-26.1	null	null	null	null	null	-0.14	69,701	-0.096	0.79	87,084	0.88	-0.35	286,027	-0.382	0.61	307,601	0.587	-0.44	387,529	-0.513	0.39	464,510	0.375	0.15	-1,106	0.252	0.79	107	0.975	0.14	-1,063	0.245	0.79	108	0.976	0.2629	null	null	1,032	0.03	1	0.5	0.5	decelerating	0.03	0.23	1	1	11	77	0.507	0.515	0.517	0.5	0.5	253,363	266,224	265,236	3	3	decelerating	-0.07	null	30.71
7XR86LAV	Café Riggs	Food and Drink	Restaurants	New American restaurant	New American restaurant	900 F St NW, Washington, DC 20004	900 F St NW	Washington	District of Columbia	Penn Quarter	Penn Quarter	20,004	US	true	38.897121	-77.024407	America/New_York	(202) 78-***	2	OPERATIONAL	true	true	null	true	Washington	District of Columbia	US	https	https://riggsdc.com/bars-restaurants/cafe-riggs	riggsdc.com/bars-restaurants/cafe-riggs	riggsdc.com	com	3,192	2017-07-11	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@riggsdc.com, purchase_dataset@riggsdc.com, purchase_dataset@parlourdesignhouse.com(...TRUNCATED)	realdomain	9	9	Sophisticated restaurant with a rooftop offering New American cuisine in an elegant setting.	true	true	4.5	983	{"1": 36, "2": 31, "3": 58, "4": 153, "5": 721}	Delivery, Onsite services, Dine-in	"Fast service, Great cocktails, Great coffee, Great dessert, Great wine list, Serves local specialty(...TRUNCATED)	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Happy hour food, Hard liquor, Healthy options,(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Cozy, Historic, Romantic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Brunch reservations recommended, Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-10-31	2026-02-14	158	52	24	158	158	52	52	https://www.instagram.com/riggshotel	riggshotel	https://www.facebook.com/caferiggs	caferiggs	https://twitter.com/riggshotel	riggshotel	null	null	https://www.linkedin.com/company/riggs-washington-dc	riggs-washington-dc	null	null	null	null	null	null	null	null	18,077	0.21	null	0.16	0.21	0.21	790	null	null	null	null	null	null	null	null	https://riggsdc.com/eat-drink/cafe-riggs	https://sevenrooms.com/reservations/caferiggs/goog	https://sevenrooms.com/reservations/caferiggs/goog	2026-04-07T12:20:07.547913+00:00	2.62	9.86	0	4,422.89	17.6	25.9307	1.5	90	99.8	87.8	0.7408	null	0.4363	0.447	0.4353	0.9179	0.9624	0.8631	71.8	71.8	null	null	null	75	20	5	76.09	19.57	4.35	75.51	20.41	4.08	stable	stable	null	0	0.001	0	0	40	46	49	73.9	226.5	-100	78.5	40.5	48	100	76.8	100	486	1,984	656	486	1,983	656	100,925	510,057	139,410	109,416	486	80,066	101	3,928	325,386	101	22,035	464,512	98	194,810	387	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.4007	0.0436	0.569	-0.0436	-0.1327	0.8007	0.0408	0.4533	-0.0408	-0.017	0.5933	0.0721	0.5059	-0.0721	-0.0696	97	100	100	80,066	378,295	3,928	0.8897	0.4878	0.9947	0.1977	0.9179	48.8	0.71	2,719	8.1	0.6605	-3.9	-0.43	-1,748	-2.5	0.0803	325,386	558,136	22,035	0.5632	0.2559	0.9709	0.0727	0.9624	48.1	0.48	2,513	5	0.7602	-3.2	-0.2	-1,542	0.6	-0.0194	464,512	674,530	194,810	0.3751	Market Leader	0.0952	0.7404	0.0521	0.8631	Average	48	0.33	1,527	4.6	Average	0.7217	-3.1	-0.05	-556	1	0.0191	101	101	98	500	49	competitive	0.0036	31.83	6	82	12	0	2,613	1,023	competitive	0.0038	1.27	5	91	3	1	7,506	5,025	competitive	0.0065	0.31	3.1	93.8	3.1	0.0846	0.5855	-0.0846	-0.1492	100	101	876	1,016	3,472	0.7981	0.7666	0.2144	0.7931	0.7402	49.2	0.54	3,043	6	0.7897	-4.3	-0.26	-2,072	-0.4	-0.0489	competitive	0.0032	0.56	3	91	5	1	0.6135	1.5	0.71	0.0846	0.5855	-0.0846	-0.1492	100	101	843	1,005	3,436	0.8054	0.769	0.2227	0.7925	0.7488	49.2	0.54	3,043	6	0.7897	-4.3	-0.26	-2,072	-0.4	-0.0489	competitive	0.0032	0.5643	1.51	0.71	0.6196	0.059	0.2307	-0.059	0.2056	791,801	41.1	0.94	531	20.4	0.4595	3.8	-0.66	440	0.2813	0.6139	0.5225	0.8356	0.5393	0.7944	303,207	0.653	-14.8	375,478	129,962	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	12.6	0.06	592	0.2202	0.7242	0.3126	0.8709	0.7461	0.7425	993	62.25	19.98	0.5585	3,648	1.45	6,895	3,895	0.4414	4,413.62	1.45	6,895	3,891	0.4414	4,413.62	0.13	99.01	0.15	99.01	0.42	102.04	0.1	99.01	0.1	99.01	-37.4	-4.22	-8	-82.2	-36.7	null	null	null	null	null	-0.15	70,040	-0.096	0.8	80,063	0.89	-0.36	298,799	-0.399	0.59	325,380	0.563	-0.42	387,529	-0.513	0.4	464,506	0.375	-0.21	488	-0.11	0.61	876	0.798	-0.21	500	-0.113	0.62	843	0.805	0.7408	null	null	983	0.23	7	0.952	0.952	decelerating	0.23	1.63	7	7	48	149	0.956	0.958	0.958	0.952	0.952	32,390	33,778	33,811	2	2	decelerating	-0.24	null	88.33
NGZYRJ9F	SOST	Food and Drink	Restaurants	Restaurant	Restaurant, Bar, Cafe, Cocktail bar, Lounge bar	1901 9th St NW, Washington, DC 20001	1901 9th St NW	Washington	District of Columbia	Northwest Washington	Shaw	20,001	US	true	38.915828	-77.023748	America/New_York	(202) 51-***	2	null	true	true	null	true	Washington	District of Columbia	US	https	https://sostdc.com	sostdc.com	sostdc.com	com	601	2024-08-14	2026-08-14	GoDaddy.com, LLC	purchase_dataset@sostdc.com, purchase_dataset@sostdc.com	realdomain	2	2	null	true	false	4.58	329	{"1": 16, "2": 6, "3": 10, "4": 36, "5": 298}	Takeout, Dine-in	"Fast service, Great cocktails, Great wine list, Live music, Rooftop seating, Serves local specialty(...TRUNCATED)	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	5	2024-10-28	2026-03-05	526	33	79	526	526	33	33	https://www.instagram.com/sost.dc	sost.dc	https://www.facebook.com/p/sost-61564591996146	sost-61564591996146	https://twitter.com/krlavr26	krlavr26	https://www.tiktok.com/@sostdc	sostdc	null	null	null	null	null	null	null	null	null	null	16,315	0.98	null	1.48	0.99	0.98	104	824	24	507	1.77	null	3.41	4.13	2.71	https://sostdc.com/dinner	https://resy.com/cities/washington-dc/venues/sost	https://resy.com/cities/washington-dc/venues/sost	2026-04-07T12:20:07.483562+00:00	2.37	9.86	0	4,510.29	14.1	25.9307	1.5	91.6	84	90.3	0.77	null	0.0803	0.1952	0.1667	0.8694	0.9698	0.8825	54	58.3	null	null	null	47.37	21.05	31.58	55.88	14.71	29.41	52.78	19.44	27.78	stable	declining	null	-4.3	-0.0864	-7.4	0	19	34	36	11.8	111.1	-100	78.6	50.5	80	83	63.1	100	1,442	1,607	2,129	1,443	1,606	2,130	305,272	424,533	467,013	326,881	1,442	151,761	101	89,845	325,386	101	11,904	442,479	94	175,407	265	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.4178	0.065	0.5776	-0.065	-0.4973	0.6902	0.0323	0.3432	-0.0323	-0.2629	0.5945	0.0688	0.5087	-0.0688	-0.4284	93	100	100	151,761	468,910	89,845	0.7923	0.3649	0.8794	0.1888	0.8694	46.3	0.53	993	7.9	0.6253	-0.7	-0.07	-659	0.8	0.1447	325,386	564,598	11,904	0.5632	0.2465	0.9843	0.0914	0.9698	48.1	0.47	3,117	5.4	0.7709	-2.5	-0.01	-2,783	3.3	-0.0009	442,479	680,006	175,407	0.4036	Strong	0.0883	0.7662	0.0682	0.8825	Average	48.4	0.32	1,585	5	Average	0.7289	-2.8	0.14	-1,251	3.7	0.0411	101	101	94	602	58	competitive	0.0034	31.83	15	79	5	1	2,544	1,017	competitive	0.0011	1.27	4	91	5	0	7,866	5,058	competitive	0.0023	0.3	2.2	95.7	2.2	0.0846	0.5765	-0.0846	-0.4962	100	101	730	835	3,773	0.8311	0.8087	0.146	0.8223	0.7906	49.1	0.54	3,056	5.9	0.7899	-3.5	-0.08	-2,722	2.8	-0.0199	competitive	0.0011	0.56	3	91	5	1	0.6189	1.5	0.71	0.0846	0.5737	-0.0846	-0.4934	100	101	704	831	3,734	0.8373	0.8099	0.1548	0.8221	0.7997	49.1	0.54	3,034	5.9	0.7912	-3.5	-0.08	-2,700	2.8	-0.0212	competitive	0.0011	0.5643	1.51	0.71	0.6243	0.059	0.2307	-0.059	-0.1504	791,801	41.1	0.94	531	20.4	0.4595	4.5	-0.48	-197	0.3105	0.6354	0.5619	0.5892	0.5682	0.8363	286,278	0.5995	-11.7	345,997	324,717	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	11.3	-0.25	-62	0.3484	0.6836	0.2046	0.6175	0.7919	0.9054	1,143	62.25	30.11	0.8796	3,648	1.45	6,895	3,895	0.4432	4,431.85	1.45	6,895	3,891	0.44	4,400.05	0.11	99.01	0.01	99.01	0.05	106.38	0.01	99.01	0.01	99.01	-31.4	-4.12	7	-81.5	3.5	null	null	null	null	null	-0.22	122,746	-0.168	0.69	151,709	0.792	-0.38	305,044	-0.408	0.59	324,881	0.563	-0.45	389,735	-0.52	0.42	441,722	0.404	-0.09	-328	0.074	0.62	730	0.831	-0.09	-306	0.07	0.62	704	0.837	0.77	null	null	329	0.23	7	0.944	0.946	stable	0.23	1.63	7	7	26	99	0.956	0.958	0.958	0.944	0.946	32,390	33,778	33,811	35	31	stable	0	null	84.31
XHEFNNAL	Himalayan Doko	Food and Drink	Restaurants	Indian restaurant	"Indian restaurant, Buffet restaurant, Caterer, Family restaurant, Halal restaurant, Kebab shop, Mom(...TRUNCATED)	1108 K St NW, Washington, DC 20005	1108 K St NW	Washington	District of Columbia	Downtown	Downtown	20,005	US	true	38.902309	-77.027628	America/New_York	(202) 63-***	2	OPERATIONAL	true	true	null	true	Washington	District of Columbia	US	https	https://himalayandoko.com	himalayandoko.com	himalayandoko.com	com	1,023	2023-06-19	2026-06-19	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	The menu includes tandoori specialties, biryani & kebabs, plus lunch & dinner buffet options.	true	true	4.22	2,058	{"1": 226, "2": 91, "3": 186, "4": 349, "5": 1644}	"Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Ta(...TRUNCATED)	Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Coffee, Comfort food, Healthy options, Late-night food, Organic dishes, Quick bite, Small plates, V(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	3	2024-04-08	2026-03-04	729	34	22	729	729	34	34	https://www.instagram.com/dokohimalayan	dokohimalayan	https://www.facebook.com/p/himalayan-doko-61550490997595	himalayan-doko-61550490997595	null	null	https://www.tiktok.com/@himalayan.doko	himalayan.doko	null	null	null	null	null	null	null	null	null	null	60	14.67	null	null	3.33	15.83	5	9	7	149	3.76	null	3.74	3.78	3.76	https://himalayandoko.com/menu	https://himalayandoko.com/book-a-table	https://himalayandoko.com/book-a-table	2026-04-07T11:33:12.474969+00:00	0.01	0	0.7	5,088.06	23.5	25.9307	1.49	84.4	100	79.3	0.604	null	0.3333	0.7476	0.7114	0.9271	0.9612	0.8622	66.7	85.6	null	null	null	66.67	33.33	0	96.55	3.45	0	93.33	6.67	0	stable	declining	null	-18.9	-0.3781	-22.1	0	3	29	30	-79.3	-60	-100	73.6	9.5	76	100	71.7	100	49	3,586	59	49	3,586	59	4,193	821,800	5,143	4,313	49	84,733	101	3,895	307,603	101	21,808	453,731	98	192,023	852	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.4075	0.0482	0.5705	-0.0482	-0.2372	0.7768	0.0261	0.4716	-0.0261	-0.1383	0.6134	0.0843	0.5183	-0.0843	-0.185	97	100	100	84,733	430,875	3,895	0.8835	0.4165	0.9948	0.1438	0.9271	48.6	0.6	2,724	6.8	0.6695	-7.6	-0.5	-246	-5.2	-0.0655	307,603	531,559	21,808	0.587	0.2908	0.9712	0.0914	0.9612	48.4	0.52	2,522	5.4	0.7588	-7.4	-0.42	-44	-3.8	-0.1548	453,731	674,530	192,023	0.3892	Strong	0.0952	0.7441	0.0521	0.8622	Average	48.2	0.33	1,535	4.6	Average	0.7214	-7.2	-0.23	943	-3	-0.1174	101	101	98	626	101	competitive	0.009	31.83	5	84	11	0	2,422	1,065	competitive	0.0097	1.27	5	90	4	1	7,428	5,042	competitive	0.0164	0.31	3.1	93.8	3.1	0.0846	0.5722	-0.0846	-0.2389	100	101	1,483	1,537	300	0.6603	0.6347	0.9321	0.6754	0.5161	49	0.54	3,060	5.9	0.7898	-8	-0.44	-582	-4.3	-0.1858	competitive	0.008	0.56	3	91	5	1	0.7341	1.5	0.71	0.0846	0.5874	-0.0846	-0.2541	100	101	1,472	1,520	288	0.6635	0.637	0.9348	0.6753	0.5184	49.2	0.54	3,059	5.9	0.7906	-8.2	-0.44	-581	-4.3	-0.1866	competitive	0.008	0.5643	1.51	0.71	0.737	0.059	0.2307	-0.059	0.1026	791,801	41.1	0.94	531	20.4	0.4595	-0.1	-0.84	1,947	0.1445	0.495	0.326	0.9671	0.3214	0.5984	397,575	0.586	-18.8	512,321	26,020	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	12.6	0.3	1,667	0.1054	0.7242	0.4154	0.9863	0.5053	0.5522	993	62.25	19.8	0.555	3,648	1.45	6,895	3,895	0.4437	4,437.13	1.45	6,895	3,891	0.4437	4,436.93	0.81	99.01	0.95	99.01	2.68	102.04	0.65	99.01	0.65	99.01	-36.6	-4.12	420	-77.7	-27.3	null	null	null	null	null	-0.18	75,959	-0.104	0.78	84,659	0.884	-0.34	279,476	-0.373	0.61	307,376	0.587	-0.42	382,742	-0.507	0.41	453,426	0.389	0	502	-0.114	0.73	1,483	0.66	0	523	-0.118	0.74	1,472	0.664	0.604	null	null	2,058	0	0	0	0	decelerating	0.07	0.47	2	2	19	144	0.439	0.452	0.454	0.2	0.204	417,455	437,538	435,431	38	37	decelerating	-0.06	null	83.33
4MVK9JCV	Taberna del Alabardero Washington DC	Food and Drink	Restaurants	Spanish restaurant	"Spanish restaurant, Bar, Delivery service, European restaurant, Fine dining restaurant, Takeout Res(...TRUNCATED)	1776 I St NW #255, Washington, DC 20006	1776 I St NW #255	Washington	District of Columbia	Downtown	Downtown	20,006	US	true	38.900979	-77.041424	America/New_York	(202) 42-***	2	null	true	true	null	true	Washington	District of Columbia	US	http	http://alabardero.com	alabardero.com	alabardero.com	com	9,755	1999-07-23	2030-07-23	Network Solutions, LLC	"purchase_dataset@alabardero.com, purchase_dataset@alabardero.com, purchase_dataset@alabardero.com, (...TRUNCATED)	realdomain	4	4	Refined Spanish cuisine & extensive wine list served in an opulent space with an outdoor patio.	true	true	4.35	1,141	{"1": 83, "2": 41, "3": 111, "4": 258, "5": 1033}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great coffee, Great dessert, Great wine list, Live music	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, Restroom, Wi-Fi	Cozy, Romantic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	"Brunch reservations recommended, Lunch reservations recommended, Reservations required, Dinner rese(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	High chairs	true	true	purchase_dataset@	true	true	6	2025-03-25	2026-03-06	378	32	86	378	378	32	32	https://www.instagram.com/alabarderodc	alabarderodc	https://www.facebook.com/alabarderotienda	alabarderotienda	https://twitter.com/alabarderodc	alabarderodc	https://www.tiktok.com/@alabarderodc	alabarderodc	https://www.linkedin.com/company/taberna-del-alabardero--washington-dc	taberna-del-alabardero--washington-dc	null	null	null	null	null	null	null	null	8,349	2.11	null	1.01	0.74	2.11	2,672	231	184	3,603	4.3	null	5.44	4.33	4.33	https://app.upserve.com/s/taberna-del-alabardero-washington	https://opentable.com/restaurant/profile/1698	https://opentable.com/restaurant/profile/1698	2026-04-07T09:34:09.720069+00:00	1.21	1.41	0	4,608.91	11.7	25.9307	1.49	87	100	82.7	0.6712	null	0.3009	0.3009	0.3009	0.9179	0.9597	0.8694	65	65	null	null	null	71.43	28.57	0	71.43	28.57	0	71.43	28.57	0	stable	stable	null	0	0	0	0	21	21	21	100	300	-100	79.5	27.4	100	100	70.3	100	213	2,853	278	213	2,852	278	30,549	687,635	38,024	32,693	213	87,085	101	11,896	313,382	101	21,195	442,479	99	237,435	643	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.4044	0.0419	0.55	-0.0419	-0.2491	0.7764	0.0206	0.4492	-0.0206	-0.1483	0.6001	0.0839	0.5177	-0.0839	-0.2168	98	100	100	87,085	420,715	11,896	0.8802	0.4303	0.9841	0.2236	0.9179	48.5	0.62	1,958	8.7	0.6605	-2.5	-0.5	-445	-7.2	0.0107	313,382	558,136	21,195	0.5792	0.2559	0.972	0.0914	0.9597	48.3	0.48	2,545	5.4	0.7569	-2.3	-0.36	-1,032	-3.9	-0.0857	442,479	650,434	237,435	0.4036	Strong	0.1264	0.6835	0.0851	0.8694	Average	48.4	0.37	1,412	5.4	Average	0.7239	-2.4	-0.25	101	-3.9	-0.0527	101	101	99	615	97	competitive	0.0077	31.83	6	86	8	0	2,641	1,037	competitive	0.0059	1.27	5	90	4	1	7,380	5,004	competitive	0.0108	0.31	5.1	90.8	4.1	0.0846	0.5812	-0.0846	-0.2803	100	101	687	1,425	1,024	0.8422	0.6668	0.7675	0.6702	0.6184	49.1	0.54	3,047	5.9	0.7897	-3.1	-0.42	-1,534	-4.4	-0.1185	competitive	0.0049	0.56	3	91	5	1	0.7672	1.5	0.71	0.0846	0.5762	-0.0846	-0.2753	100	101	659	1,360	974	0.8491	0.6818	0.7791	0.6701	0.6221	49.1	0.53	3,055	5.9	0.7906	-3.1	-0.41	-1,542	-4.4	-0.1194	competitive	0.0049	0.5643	1.51	0.71	0.7779	0.059	0.2307	-0.059	0.0702	791,801	41.1	0.94	531	20.4	0.4595	4.9	-0.82	982	0.2117	0.6477	0.3775	0.9148	0.3051	0.6911	276,533	0.6468	-18.9	476,774	67,373	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	14.6	0.17	750	0.1904	0.7867	0.351	0.9443	0.5207	0.6932	769	62.25	21.88	0.6063	3,648	1.45	6,895	3,895	0.4419	4,418.9	1.45	6,895	3,891	0.443	4,429.99	0.59	99.01	0.35	99.01	1.17	101.01	0.24	99.01	0.24	99.01	-35.5	-4.22	398	-81	-28.1	null	null	null	null	null	-0.17	69,158	-0.095	0.78	87,083	0.88	-0.36	291,806	-0.39	0.6	313,376	0.579	-0.41	353,553	-0.467	0.4	442,473	0.404	-0.02	210	-0.046	0.77	687	0.842	-0.02	226	-0.048	0.78	659	0.849	0.6712	null	null	1,141	0.03	1	0.667	0.667	decelerating	0.03	0.23	1	1	22	141	0.507	0.515	0.517	0.667	0.667	253,363	266,224	265,236	4	4	decelerating	-0.3	null	82.56
7J2ZTVLL	Dirty Habit	Food and Drink	Restaurants	Restaurant	Restaurant, Bar, Cocktail bar	555 8th St NW, Washington, DC 20004	555 8th St NW	Washington	District of Columbia	Penn Quarter	Penn Quarter	20,004	US	true	38.896965	-77.022438	America/New_York	(202) 44-***	4	null	true	true	null	true	Washington	District of Columbia	US	https	https://dirtyhabitdc.com	dirtyhabitdc.com	dirtyhabitdc.com	com	3,758	2015-12-23	2026-12-23	DomainSpot LLC	"purchase_dataset@dirtyhabitdc.com, purchase_dataset@dirtyhabitdc.com, purchase_dataset@dirtyhabitdc(...TRUNCATED)	realdomain	6	6	Globally inspired cuisine and craft cocktails served in an elegant hotel space with a courtyard.	true	true	3.88	1,029	{"1": 151, "2": 96, "3": 177, "4": 396, "5": 1036}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great wine list, Serves local specialty	Breakfast, 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, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Lively, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Checks, Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2024-04-01	2026-03-07	736	31	88	736	736	31	31	https://www.instagram.com/dirtyhabitdc	dirtyhabitdc	https://www.facebook.com/dirtyhabitdc	dirtyhabitdc	https://twitter.com/dirtyhabitdc	dirtyhabitdc	https://www.tiktok.com/@dirtyhabitdc	dirtyhabitdc	https://www.linkedin.com/company/dirty-habit-restaurant-cocktail-lounge	dirty-habit-restaurant-cocktail-lounge	null	null	null	null	null	null	null	null	27,572	0.44	null	0.15	0.44	0.44	1,485	4,504	280	38,800	1.3	null	4.97	4.76	4.28	https://places.singleplatform.com/dirty-habit-0/menu	https://resy.com/cities/washington-dc/venues/dirty-habit	https://resy.com/cities/washington-dc/venues/dirty-habit	2026-04-07T09:14:46.084195+00:00	4	0	0	4,471.2	14.1	25.9307	1.49	77.6	100	69	0.4143	null	-0.1368	-0.1248	-0.0565	0.8997	0.9654	0.8657	43.2	47.2	null	null	null	36.36	63.64	0	33.33	58.33	8.33	38.46	53.85	7.69	stable	declining	null	-4	-0.0803	-8.5	0	11	12	13	83.3	238.5	-100	67.9	9.5	80	100	50.8	100	423	4,914	560	423	4,914	560	85,797	1,070,241	115,241	92,473	423	70,398	101	4,703	337,140	101	20,367	459,056	97	184,154	1,087	3,863	6,988	3,863	6,990	734,279	1,460,619	734,279	0.4099	0.0545	0.5619	-0.0545	-0.6987	0.8177	0.0454	0.452	-0.0454	-0.5888	0.5739	0.0743	0.5008	-0.0743	-0.6376	96	100	100	70,398	347,881	4,703	0.9025	0.5288	0.9937	0.2411	0.8997	49.2	0.78	2,565	9.1	0.6456	-11	-0.68	-721	-8	-0.2313	337,140	593,185	20,367	0.5485	0.2087	0.9731	0.0595	0.9654	47.9	0.43	2,578	4.7	0.7639	-9.7	-0.33	-734	-3.6	-0.3496	459,056	668,832	184,154	0.3819	Market Leader	0.1025	0.7545	0.0521	0.8657	Average	48.1	0.34	1,558	4.6	Average	0.7226	-9.9	-0.24	286	-3.5	-0.3083	101	101	97	481	86	competitive	0.0071	31.83	6	81	13	0	2,581	1,012	competitive	0.0071	1.27	5	92	2	1	7,475	5,005	competitive	0.0122	0.31	3.1	93.8	3.1	0.0846	0.5703	-0.0846	-0.7071	100	101	1,920	1,537	627	0.5618	0.6347	0.8581	0.6394	0.3203	49	0.54	3,044	5.9	0.7889	-10.8	-0.44	-1,200	-4.8	-0.3746	competitive	0.006	0.56	3	91	5	1	0.6725	1.5	0.71	0.0846	0.5761	-0.0846	-0.7129	100	101	1,890	1,520	596	0.5689	0.637	0.8654	0.6382	0.3191	49.1	0.54	3,037	5.9	0.7911	-10.9	-0.44	-1,193	-4.8	-0.3768	competitive	0.006	0.5643	1.51	0.71	0.6783	0.059	0.2307	-0.059	-0.3675	791,801	41.1	0.94	531	20.4	0.4595	-2.9	-0.84	1,313	-0.0452	0.4178	0.326	0.9402	0.2371	0.3926	458,877	0.547	-19.3	512,321	47,304	44.5	8.8	46.7	791,802	3,648	51.8	4.12	391	9.9	0.4847	7.2	-0.4	638	-0.0729	0.5596	0.1752	0.8884	0.5053	0.3471	1,587	62.25	7.81	0.3776	3,648	1.45	6,895	3,895	0.4414	4,413.82	1.45	6,895	3,891	0.4404	4,404.3	0.51	99.01	0.5	99.01	1.48	103.09	0.36	99.01	0.36	99.01	-36.2	-3.78	815	-67.9	-61.8	null	null	null	null	null	-0.13	58,799	-0.081	0.82	70,387	0.903	-0.38	309,013	-0.412	0.57	337,098	0.549	-0.42	388,067	-0.514	0.41	459,001	0.382	0.07	537	-0.121	0.67	1,920	0.562	0.07	537	-0.12	0.68	1,890	0.569	0.4143	null	null	1,029	0	0	0	0	decelerating	0.33	2.33	10	10	35	119	0.892	0.896	0.896	0.8	0.791	87,059	90,435	90,390	128	121	stable	-0.24	null	68.71

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Restaurant Verified Email Access in Washington D.C., District of Columbia, US

Free sample dataset from BeamStation

Restaurant Verified Email Access in Washington D.C., District of Columbia, US is a weekly‑updated collection of 1,208 verified email addresses for independent restaurants and micro‑chains operating in the nation’s capital. Each entry has been checked for deliverability using a proprietary verification pipeline and is accompanied by an “Active Heartbeat” signal that confirms the venue is currently open and doing business. The dataset excludes large chain enterprises, focusing instead on standalone eateries and small local groups so users can reach decision‑makers directly. Refreshing every week ensures the list stays current, with outdated addresses removed and new ones added as they are verified. Marketing professionals, PR agencies, food‑tech suppliers, and local event organizers can use this list to pitch partnerships, promote products, or invite establishments to collaborations without worrying about bounce‑backs. The data is hosted at https://beamstation.com/datasets/164152/ and can be downloaded in standard formats for immediate integration into outreach tools or CRM systems.

Dataset Details

Field	Value
Full dataset	1,208 records
Sample size	120 records
Location	Washington D.C.
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (498 total)

Column List

#	Column
1	`beam_id`
2	`title`
3	`category_main_group`
4	`category_sub_group`
5	`category`
6	`categories`
7	`address`
8	`street`
9	`city`
10	`state`
11	`borough`
12	`neighborhood`
13	`postal_code`
14	`country`
15	`address_verified`
16	`latitude`
17	`longitude`
18	`timezone`
19	`phone`
20	`price_level`
21	`business_status`
22	`has_open_hours`
23	`has_price`
24	`census_place`
25	`verified_census_city`
26	`beam_location_name`
27	`beam_state_code`
28	`beam_country_code`
29	`website_protocol`
30	`website`
31	`website_normalized`
32	`website_domain`
33	`website_domain_tld`
34	`website_domain_age`
35	`website_domain_registered`
36	`website_domain_expires`
37	`website_domain_registrar`
38	`emails_list`
39	`emails_list_website_domain`
40	`emails_count`
41	`emails_deliverable_count`
42	`emails_risky_count`
43	`description`
44	`has_about`
45	`has_description`
46	`rating`
47	`reviews_total_count`
48	`reviews_per_rating`
49	`service_options`
50	`highlights`
51	`popular_for`
52	`accessibility`
53	`offerings`
54	`dining_options`
55	`amenities`
56	`atmosphere`
57	`crowd`
58	`planning`
59	`payments`
60	`children`
61	`has_popular_times`
62	`has_website`
63	`has_email`
64	`has_social`
65	`has_phone`
66	`socials_count`
67	`first_social_post_date`
68	`last_social_post_date`
69	`first_social_post_days`
70	`last_social_post_days`
71	`social_post_count`
72	`first_social_post_days_min`
73	`first_social_post_days_max`
74	`last_social_post_days_min`
75	`last_social_post_days_max`
76	`social_profile_instagram`
77	`social_username_instagram`
78	`social_profile_facebook`
79	`social_username_facebook`
80	`social_profile_twitter`
81	`social_username_twitter`
82	`social_profile_tiktok`
83	`social_username_tiktok`
84	`social_profile_linkedin`
85	`social_username_linkedin`
86	`social_profile_youtube`
87	`social_username_youtube`
88	`social_profile_github`
89	`social_username_github`
90	`social_profile_snapchat`
91	`social_username_snapchat`
92	`social_profile_pinterest`
93	`social_username_pinterest`
94	`instagram_followers`
95	`instagram_engagement_rate`
96	`instagram_engagement_rate_1m`
97	`instagram_engagement_rate_3m`
98	`instagram_engagement_rate_6m`
99	`instagram_engagement_rate_12m`
100	`instagram_post_count`
101	`tiktok_followers`
102	`tiktok_video_count`
103	`tiktok_heart_count`
104	`tiktok_engagement_rate`
105	`tiktok_engagement_rate_1m`
106	`tiktok_engagement_rate_3m`
107	`tiktok_engagement_rate_6m`
108	`tiktok_engagement_rate_12m`
109	`menu_link`
110	`order_links`
111	`reservation_link`
112	`last_updated_at`
113	`beam_cross_social_market_penetration`
114	`beam_cross_velocity_quality`
115	`beam_cross_social_urgency`
116	`beam_cross_per_capita_engagement`
117	`beam_cross_market_saturation_lead`
118	`beam_cross_population_adjusted_rank`
119	`beam_cross_demand_gap_index`
120	`beam_rating_score`
121	`beam_review_confidence`
122	`beam_rating_health`
123	`sentiment_avg`
124	`sentiment_avg_30d`
125	`sentiment_avg_90d`
126	`sentiment_avg_180d`
127	`sentiment_avg_360d`
128	`sentiment_percentile_1km`
129	`sentiment_percentile_5km`
130	`sentiment_percentile_10km`
131	`sentiment_score_90d`
132	`sentiment_score_360d`
133	`sentiment_positive_pct_30d`
134	`sentiment_negative_pct_30d`
135	`sentiment_neutral_pct_30d`
136	`sentiment_positive_pct_90d`
137	`sentiment_negative_pct_90d`
138	`sentiment_neutral_pct_90d`
139	`sentiment_positive_pct_180d`
140	`sentiment_negative_pct_180d`
141	`sentiment_neutral_pct_180d`
142	`sentiment_positive_pct_360d`
143	`sentiment_negative_pct_360d`
144	`sentiment_neutral_pct_360d`
145	`sentiment_trend_30vs90d`
146	`sentiment_trend_90vs360d`
147	`sentiment_diff_30vs90d`
148	`sentiment_change_360d`
149	`sentiment_diff_90vs360d`
150	`sentiment_change_pct_360d`
151	`reviews_count_30d`
152	`reviews_count_90d`
153	`reviews_count_180d`
154	`reviews_count_360d`
155	`review_growth_pct_180d`
156	`review_growth_pct_360d`
157	`review_growth_pct_90d`
158	`beam_score_overall`
159	`beam_popularity_percentile`
160	`beam_social_presence`
161	`beam_data_completeness`
162	`beam_price_value`
163	`beam_data_freshness`
164	`beam_rank_city_category`
165	`beam_rank_city_overall`
166	`beam_rank_city_reviews`
167	`beam_rank_state_category`
168	`beam_rank_state_overall`
169	`beam_rank_state_reviews`
170	`beam_rank_country_category`
171	`beam_rank_country_overall`
172	`beam_rank_country_reviews`
173	`beam_rank_place_global_category`
174	`beam_rank_category`
175	`beam_rank_competition_1km_category`
176	`beam_rank_competition_1km_total`
177	`beam_rank_competition_1km_reviews`
178	`beam_rank_competition_5km_category`
179	`beam_rank_competition_5km_total`
180	`beam_rank_competition_5km_reviews`
181	`beam_rank_competition_10km_category`
182	`beam_rank_competition_10km_total`
183	`beam_rank_competition_10km_reviews`
184	`beam_export_rank`
185	`total_city_category`
186	`total_city`
187	`total_state_category`
188	`total_state`
189	`total_country_category`
190	`total_country`
191	`total_category_global`
192	`beam_competitors_10km_competitive_strength`
193	`beam_competitors_10km_competitor_avg_sentiment_30d`
194	`beam_competitors_10km_competitor_avg_sentiment_90d`
195	`beam_competitors_10km_sentiment_diff_30d`
196	`beam_competitors_10km_sentiment_diff_90d`
197	`beam_competitors_1km_competitive_strength`
198	`beam_competitors_1km_competitor_avg_sentiment_30d`
199	`beam_competitors_1km_competitor_avg_sentiment_90d`
200	`beam_competitors_1km_sentiment_diff_30d`
201	`beam_competitors_1km_sentiment_diff_90d`
202	`beam_competitors_5km_competitive_strength`
203	`beam_competitors_5km_competitor_avg_sentiment_30d`
204	`beam_competitors_5km_competitor_avg_sentiment_90d`
205	`beam_competitors_5km_sentiment_diff_30d`
206	`beam_competitors_5km_sentiment_diff_90d`
207	`beam_competitors_10km_competitor_count`
208	`beam_competitors_1km_competitor_count`
209	`beam_competitors_5km_competitor_count`
210	`beam_competitors_1km_rank_by_score`
211	`beam_competitors_1km_rank_by_rating`
212	`beam_competitors_1km_rank_by_reviews`
213	`beam_competitors_1km_score_percentile`
214	`beam_competitors_1km_rating_percentile`
215	`beam_competitors_1km_reviews_percentile`
216	`beam_competitors_1km_health_percentile`
217	`beam_competitors_1km_sentiment_percentile`
218	`beam_competitors_1km_competitor_avg_score`
219	`beam_competitors_1km_competitor_avg_rating`
220	`beam_competitors_1km_competitor_avg_reviews`
221	`beam_competitors_1km_competitor_avg_health`
222	`beam_competitors_1km_competitor_avg_sentiment`
223	`beam_competitors_1km_score_diff`
224	`beam_competitors_1km_rating_diff`
225	`beam_competitors_1km_reviews_diff`
226	`beam_competitors_1km_health_diff`
227	`beam_competitors_1km_sentiment_diff`
228	`beam_competitors_5km_rank_by_score`
229	`beam_competitors_5km_rank_by_rating`
230	`beam_competitors_5km_rank_by_reviews`
231	`beam_competitors_5km_score_percentile`
232	`beam_competitors_5km_rating_percentile`
233	`beam_competitors_5km_reviews_percentile`
234	`beam_competitors_5km_health_percentile`
235	`beam_competitors_5km_sentiment_percentile`
236	`beam_competitors_5km_competitor_avg_score`
237	`beam_competitors_5km_competitor_avg_rating`
238	`beam_competitors_5km_competitor_avg_reviews`
239	`beam_competitors_5km_competitor_avg_health`
240	`beam_competitors_5km_competitor_avg_sentiment`
241	`beam_competitors_5km_score_diff`
242	`beam_competitors_5km_rating_diff`
243	`beam_competitors_5km_reviews_diff`
244	`beam_competitors_5km_health_diff`
245	`beam_competitors_5km_sentiment_diff`
246	`beam_competitors_10km_rank_by_score`
247	`beam_competitors_10km_rank_by_rating`
248	`beam_competitors_10km_rank_by_reviews`
249	`beam_competitors_10km_score_percentile`
250	`beam_competitors_1km_competitive_tier`
251	`beam_competitors_10km_rating_percentile`
252	`beam_competitors_10km_reviews_percentile`
253	`beam_competitors_10km_health_percentile`
254	`beam_competitors_10km_sentiment_percentile`
255	`beam_competitors_5km_competitive_tier`
256	`beam_competitors_10km_competitor_avg_score`
257	`beam_competitors_10km_competitor_avg_rating`
258	`beam_competitors_10km_competitor_avg_reviews`
259	`beam_competitors_10km_competitor_avg_health`
260	`beam_competitors_10km_competitive_tier`
261	`beam_competitors_10km_competitor_avg_sentiment`
262	`beam_competitors_10km_score_diff`
263	`beam_competitors_10km_rating_diff`
264	`beam_competitors_10km_reviews_diff`
265	`beam_competitors_10km_health_diff`
266	`beam_competitors_10km_sentiment_diff`
267	`beam_competitors_1km_total_in_radius`
268	`beam_competitors_5km_total_in_radius`
269	`beam_competitors_10km_total_in_radius`
270	`beam_competitors_1km_avg_distance_m`
271	`beam_competitors_1km_closest_competitor_m`
272	`beam_competitors_1km_market_type`
273	`beam_competitors_1km_review_share`
274	`beam_competitors_1km_density_per_sqkm`
275	`beam_competitors_1km_tier_below_40`
276	`beam_competitors_1km_tier_40_59`
277	`beam_competitors_1km_tier_60_79`
278	`beam_competitors_1km_tier_80_100`
279	`beam_competitors_5km_avg_distance_m`
280	`beam_competitors_5km_closest_competitor_m`
281	`beam_competitors_5km_market_type`
282	`beam_competitors_5km_review_share`
283	`beam_competitors_5km_density_per_sqkm`
284	`beam_competitors_5km_tier_below_40`
285	`beam_competitors_5km_tier_40_59`
286	`beam_competitors_5km_tier_60_79`
287	`beam_competitors_5km_tier_80_100`
288	`beam_competitors_10km_avg_distance_m`
289	`beam_competitors_10km_closest_competitor_m`
290	`beam_competitors_10km_market_type`
291	`beam_competitors_10km_review_share`
292	`beam_competitors_10km_density_per_sqkm`
293	`beam_competitors_10km_tier_below_40`
294	`beam_competitors_10km_tier_40_59`
295	`beam_competitors_10km_tier_60_79`
296	`beam_competitors_10km_tier_80_100`
297	`beam_competitors_city_competitor_avg_sentiment_30d`
298	`beam_competitors_city_competitor_avg_sentiment_90d`
299	`beam_competitors_city_sentiment_diff_30d`
300	`beam_competitors_city_sentiment_diff_90d`
301	`beam_competitors_city_competitor_count`
302	`beam_competitors_city_total_in_city`
303	`beam_competitors_city_rank_by_score`
304	`beam_competitors_city_rank_by_rating`
305	`beam_competitors_city_rank_by_reviews`
306	`beam_competitors_city_score_percentile`
307	`beam_competitors_city_rating_percentile`
308	`beam_competitors_city_reviews_percentile`
309	`beam_competitors_city_health_percentile`
310	`beam_competitors_city_sentiment_percentile`
311	`beam_competitors_city_competitor_avg_score`
312	`beam_competitors_city_competitor_avg_rating`
313	`beam_competitors_city_competitor_avg_reviews`
314	`beam_competitors_city_competitor_avg_health`
315	`beam_competitors_city_competitor_avg_sentiment`
316	`beam_competitors_city_score_diff`
317	`beam_competitors_city_rating_diff`
318	`beam_competitors_city_reviews_diff`
319	`beam_competitors_city_health_diff`
320	`beam_competitors_city_sentiment_diff`
321	`beam_competitors_city_market_type`
322	`beam_competitors_city_review_share`
323	`beam_competitors_city_density_per_sqkm`
324	`beam_competitors_city_tier_below_40`
325	`beam_competitors_city_tier_40_59`
326	`beam_competitors_city_tier_60_79`
327	`beam_competitors_city_tier_80_100`
328	`beam_competitors_city_competitive_strength`
329	`beam_competitors_city_underserved_score`
330	`beam_competitors_city_competition_intensity`
331	`beam_competitors_state_competitor_avg_sentiment_30d`
332	`beam_competitors_state_competitor_avg_sentiment_90d`
333	`beam_competitors_state_sentiment_diff_30d`
334	`beam_competitors_state_sentiment_diff_90d`
335	`beam_competitors_state_competitor_count`
336	`beam_competitors_state_total_in_state`
337	`beam_competitors_state_rank_by_score`
338	`beam_competitors_state_rank_by_rating`
339	`beam_competitors_state_rank_by_reviews`
340	`beam_competitors_state_score_percentile`
341	`beam_competitors_state_rating_percentile`
342	`beam_competitors_state_reviews_percentile`
343	`beam_competitors_state_health_percentile`
344	`beam_competitors_state_sentiment_percentile`
345	`beam_competitors_state_competitor_avg_score`
346	`beam_competitors_state_competitor_avg_rating`
347	`beam_competitors_state_competitor_avg_reviews`
348	`beam_competitors_state_competitor_avg_health`
349	`beam_competitors_state_competitor_avg_sentiment`
350	`beam_competitors_state_score_diff`
351	`beam_competitors_state_rating_diff`
352	`beam_competitors_state_reviews_diff`
353	`beam_competitors_state_health_diff`
354	`beam_competitors_state_sentiment_diff`
355	`beam_competitors_state_market_type`
356	`beam_competitors_state_review_share`
357	`beam_competitors_state_density_per_sqkm`
358	`beam_competitors_state_underserved_score`
359	`beam_competitors_state_competition_intensity`
360	`beam_competitors_state_competitive_strength`
361	`beam_competitors_country_competitor_avg_sentiment_30d`
362	`beam_competitors_country_competitor_avg_sentiment_90d`
363	`beam_competitors_country_sentiment_diff_30d`
364	`beam_competitors_country_sentiment_diff_90d`
365	`beam_competitors_country_competitor_count`
366	`beam_competitors_country_competitor_avg_score`
367	`beam_competitors_country_competitor_avg_rating`
368	`beam_competitors_country_competitor_avg_reviews`
369	`beam_competitors_country_competitor_avg_health`
370	`beam_competitors_country_competitor_avg_sentiment`
371	`beam_competitors_country_score_diff`
372	`beam_competitors_country_rating_diff`
373	`beam_competitors_country_reviews_diff`
374	`beam_competitors_country_sentiment_diff`
375	`beam_competitors_country_score_percentile`
376	`beam_competitors_country_rating_percentile`
377	`beam_competitors_country_reviews_percentile`
378	`beam_competitors_country_health_percentile`
379	`beam_competitors_country_sentiment_percentile`
380	`beam_competitors_country_rank_by_score`
381	`beam_competitors_country_competitive_strength`
382	`beam_competitors_country_health_diff`
383	`beam_competitors_country_rank_by_rating`
384	`beam_competitors_country_rank_by_reviews`
385	`beam_competitors_country_tier_40_59`
386	`beam_competitors_country_tier_60_79`
387	`beam_competitors_country_tier_80_100`
388	`beam_competitors_country_tier_below_40`
389	`beam_competitors_country_total_in_country`
390	`beam_competitors_city_siblings_competitor_count`
391	`beam_competitors_city_siblings_competitor_avg_score`
392	`beam_competitors_city_siblings_competitor_avg_rating`
393	`beam_competitors_city_siblings_competitor_avg_reviews`
394	`beam_competitors_city_siblings_competitor_avg_health`
395	`beam_competitors_city_siblings_competitor_avg_sentiment`
396	`beam_competitors_city_siblings_score_diff`
397	`beam_competitors_city_siblings_rating_diff`
398	`beam_competitors_city_siblings_reviews_diff`
399	`beam_competitors_city_siblings_sentiment_diff`
400	`beam_competitors_city_siblings_score_percentile`
401	`beam_competitors_city_siblings_rating_percentile`
402	`beam_competitors_city_siblings_reviews_percentile`
403	`beam_competitors_city_siblings_health_percentile`
404	`beam_competitors_city_siblings_sentiment_percentile`
405	`beam_competitors_city_siblings_rank_by_score`
406	`beam_competitors_city_siblings_competitor_avg_recommend_pct`
407	`beam_competitors_city_siblings_recommend_pct_diff`
408	`beam_competitors_city_siblings_recommend_pct_percentile`
409	`beam_competitors_city_siblings_total_siblings`
410	`beam_competitors_city_businesses_per_10k_pop`
411	`beam_competitors_city_population_per_business`
412	`beam_competitors_city_population_density`
413	`beam_competitors_city_reviews_per_capita`
414	`beam_competitors_city_reviews_per_10k_pop`
415	`beam_competitors_state_businesses_per_10k_pop`
416	`beam_competitors_state_population_per_business`
417	`beam_competitors_state_population_density`
418	`beam_competitors_state_reviews_per_capita`
419	`beam_competitors_state_reviews_per_10k_pop`
420	`beam_competitors_1km_hhi_contribution`
421	`beam_competitors_1km_hhi_minimum`
422	`beam_competitors_5km_hhi_contribution`
423	`beam_competitors_5km_hhi_minimum`
424	`beam_competitors_10km_hhi_contribution`
425	`beam_competitors_10km_hhi_minimum`
426	`beam_competitors_city_hhi_contribution`
427	`beam_competitors_city_hhi_minimum`
428	`beam_competitors_state_hhi_contribution`
429	`beam_competitors_state_hhi_minimum`
430	`beam_trends_score_30d_beam_score_overall`
431	`beam_trends_score_30d_rating`
432	`beam_trends_score_30d_review_count`
433	`beam_trends_score_30d_beam_rating_health`
434	`beam_trends_score_30d_beam_popularity_percentile`
435	`beam_trends_score_90d_beam_score_overall`
436	`beam_trends_score_90d_rating`
437	`beam_trends_score_90d_review_count`
438	`beam_trends_score_90d_beam_rating_health`
439	`beam_trends_score_90d_beam_popularity_percentile`
440	`beam_trends_competitive_1km_30d_strength_change`
441	`beam_trends_competitive_1km_30d_rank_change`
442	`beam_trends_competitive_1km_30d_percentile_change`
443	`beam_trends_competitive_1km_90d_strength_change`
444	`beam_trends_competitive_1km_90d_rank_change`
445	`beam_trends_competitive_1km_90d_percentile_change`
446	`beam_trends_competitive_5km_30d_strength_change`
447	`beam_trends_competitive_5km_30d_rank_change`
448	`beam_trends_competitive_5km_30d_percentile_change`
449	`beam_trends_competitive_5km_90d_strength_change`
450	`beam_trends_competitive_5km_90d_rank_change`
451	`beam_trends_competitive_5km_90d_percentile_change`
452	`beam_trends_competitive_10km_30d_strength_change`
453	`beam_trends_competitive_10km_30d_rank_change`
454	`beam_trends_competitive_10km_30d_percentile_change`
455	`beam_trends_competitive_10km_90d_strength_change`
456	`beam_trends_competitive_10km_90d_rank_change`
457	`beam_trends_competitive_10km_90d_percentile_change`
458	`beam_trends_competitive_city_30d_strength_change`
459	`beam_trends_competitive_city_30d_rank_change`
460	`beam_trends_competitive_city_30d_percentile_change`
461	`beam_trends_competitive_city_90d_strength_change`
462	`beam_trends_competitive_city_90d_rank_change`
463	`beam_trends_competitive_city_90d_percentile_change`
464	`beam_trends_competitive_state_30d_strength_change`
465	`beam_trends_competitive_state_30d_rank_change`
466	`beam_trends_competitive_state_30d_percentile_change`
467	`beam_trends_competitive_state_90d_strength_change`
468	`beam_trends_competitive_state_90d_rank_change`
469	`beam_trends_competitive_state_90d_percentile_change`
470	`beam_trends_sentiment_current_sentiment`
471	`beam_trends_sentiment_positive_ratio`
472	`beam_trends_sentiment_negative_ratio`
473	`beam_trends_sentiment_review_count`
474	`beam_trends_velocity_reviews_per_day`
475	`beam_trends_velocity_reviews_per_month`
476	`beam_trends_velocity_percentile_city`
477	`beam_trends_velocity_percentile_state`
478	`beam_trends_velocity_trend`
479	`beam_velocity_reviews_per_day`
480	`beam_velocity_reviews_per_week`
481	`beam_velocity_reviews_per_month`
482	`beam_velocity_reviews_last_30d`
483	`beam_velocity_reviews_last_90d`
484	`beam_velocity_reviews_last_365d`
485	`beam_velocity_percentile_1km`
486	`beam_velocity_percentile_5km`
487	`beam_velocity_percentile_10km`
488	`beam_velocity_percentile_city`
489	`beam_velocity_percentile_state`
490	`beam_velocity_rank_1km`
491	`beam_velocity_rank_5km`
492	`beam_velocity_rank_10km`
493	`beam_velocity_rank_city`
494	`beam_velocity_rank_state`
495	`beam_velocity_trend`
496	`beam_velocity_change_30d`
497	`beam_velocity_change_90d`
498	`beam_trends_sentiment_recommend_pct`

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/restaurant-verified-email-access-in-washington-d-c-district-of-columbia-us-164152")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 1,208 records and unmasked contact data is available at:

Restaurant Verified Email Access in Washington D.C., District of Columbia, US on BeamStation

License

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

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