Datasets:

beamstation
/

tech-ready-restaurants-san-francisco-oakland-fremont-metro-ca-145335-145335

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 float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github float64	social_username_github float64	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest float64	social_username_pinterest float64	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links float64	reservation_link float64	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_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_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_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
GZCV8W89	Curry Corner Indian Restaurant And Pizza	Food and Drink	Restaurants	Indian restaurant	Indian restaurant, North Indian restaurant, Pizza restaurant	600 Linden Ave, South San Francisco, CA 94080	600 Linden Ave	South San Francisco	California	Downtown	null	94,080	US	true	37.658171	-122.408949	America/Los_Angeles	(650) 27-***	2	null	true	true	null	true	South San Francisco	California	US	http	http://currycornerssf.com	currycornerssf.com	currycornerssf.com	com	2,188	2020-05-02	2027-05-02	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.43	640	{"1": 42, "2": 19, "3": 23, "4": 80, "5": 376}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Happy hour drinks, Late-night food, Organic dishes, Quick bite(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Quiet	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	4	2024-06-16	2026-01-28	682	91	24	682	682	91	91	https://www.instagram.com/curry_corner_co	curry_corner_co	https://www.facebook.com/currycornerssf	currycornerssf	null	null	null	null	null	null	https://www.youtube.com/c/currycorner-ssraash	currycorner-ssraash	null	null	null	null	null	null	132	3.84	null	null	2.53	3.94	51	null	null	null	null	null	null	null	null	https://places.singleplatform.com/curry-corner-9/menu	null	null	2026-04-25T19:46:32.812462+00:00	0.23	6.63	0.4	8,143.83	399	138.2979	0.13	88.6	93.6	86.9	0.769	0.9685	0.9414	0.9434	0.9036	0.7971	0.7607	0.6096	97.1	95.2	100	0	0	97.56	2.09	0.35	97.8	1.71	0.49	95.64	3.44	0.92	stable	stable	0.0271	1.9	0.0378	2	47	287	409	436	40.3	163.3	-50.9	83.9	66.4	84	80	95.5	32	36	88	47	18,113	64,893	24,587	193,305	625,575	265,070	207,565	36	1	70	15	1	118	42	4	147	58	64	180	275	91,865	173,879	786,928	1,595,281	786,928	0.7144	0.0648	0.5926	-0.0648	0.3494	0.8565	0.0336	0.3562	-0.0336	0.5858	0.7744	0.0658	0.4757	-0.0658	0.4663	146	69	117	1	20	15	1	0.7246	0.7971	0.7101	0.7971	63.9	4.05	345	79.6	0.5763	20	0.38	295	7.3	0.175	1	48	42	1	0.5983	0.6496	0.6068	0.7607	72	4.29	542	82.2	0.6036	11.9	0.14	98	4.7	0.1477	4	79	58	0.9795	Market Leader	0.4658	0.6096	0.4658	0.6096	Strong	76.9	4.4	637	85.2	Strong	0.6792	7	0.03	3	1.7	0.0721	70	118	147	440	5	competitive	0.0262	21.96	7.2	20.3	71	1.4	2,945	1,007	competitive	0.01	1.49	0.9	0.9	91.5	6.8	7,748	5,001	competitive	0.0068	0.46	0	0	77.4	22.6	0.0426	0.4555	-0.0426	0.4865	116	117	1	38	34	1	0.681	0.7155	0.6897	0.7586	69.9	4.25	448	81.3	0.6156	14	0.18	192	5.6	0.1357	competitive	0.0122	1.48	0	6	90.5	3.4	0.819	0.13	12.27	0.1942	0.8076	-0.1942	0.1344	179	180	106	167	139	0.4134	0.0726	0.2291	0.067	0.1676	83.5	4.71	1,433	93.6	0.8399	0.4	-0.28	-793	-6.7	-0.0886	competitive	0.0025	0.0004	1.13	0.04	0.2559	0.0328	0.2935	-0.0328	0.6485	849,634	59.7	3.83	389	76.2	0.4652	24.2	0.6	251	0.2861	0.9911	0.5621	0.7553	0.679	0.8045	7,170	0.7917	10.7	364,192	207,517	23.1	58	4.5	14.4	849,635	149	61.6	4.17	300	77.6	0.5337	22.3	0.26	340	0.2176	1	0.6284	0.8311	0.7095	0.7973	1	73.07	18.6	0.7568	149	17.55	570	846	0.7869	7,869.15	0.05	220,884	93	0.0065	64.87	6.87	142.86	1	84.75	0.47	68.03	1.48	85.47	0.06	55.56	-0.3	0.07	107	2.1	-16.8	null	null	null	null	null	0.09	-104,261	0.156	-59.93	60,309	-0.069	0.09	-94,952	0.141	-59.93	86,599	-0.101	0.09	-126,611	0.182	-59.91	15,228	-0.012	0.03	-1	0.005	-59.77	-196,350	0.245	0.01	-756	0.008	-59.91	-196,156	0.235	0.7513	100	0	640	2.67	80	0	0.996	stable	2.67	18.67	80	80	290	377	0.998	0.998	0.998	0	0.994	1,676	1,758	1,765	1	9	stable	-0.86	null	91.67
CEMRGWGV	Urban Plates	Food and Drink	Restaurants	New American restaurant	"New American restaurant, American restaurant, Catering food and drink supplier, Gluten-free restaur(...TRUNCATED)	60 Crescent Dr B, Pleasant Hill, CA 94523	60 Crescent Dr B	Pleasant Hill	California	null	null	94,523	US	true	37.945429	-122.061755	America/Los_Angeles	(925) 37-***	2	OPERATIONAL	true	true	null	true	Pleasant Hill	California	US	https	https://urbanplates.com	urbanplates.com	urbanplates.com	com	5,708	2010-09-12	2027-09-12	GoDaddy.com, LLC	null	null	0	0	0	Modern, airy pit stop for healthy New American fare and drinks.	true	true	4.51	1,088	{"1": 71, "2": 46, "3": 100, "4": 272, "5": 1476}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Fireplace	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Healthy options, Organic dishes, Quick bite, Small plates, Veg(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	College students, Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://urbanplates.com/order/categories/?store_id=009&service_type_id=2	null	null	2026-04-25T17:56:22.350647+00:00	0	0.2	2.4	12,645.25	1,987.8	56.6737	0.07	90.2	100	87.4	0.7293	0.7839	0.7763	0.7931	0.7734	0.8261	0.7266	0.744	88.8	88.7	92.31	7.69	0	92.11	7.89	0	91.67	7.81	0.52	89.94	9.09	0.97	stable	stable	0.0076	0.1	0.0029	0.1	39	76	192	308	-20.8	-1.3	53.9	72.9	36.8	8	80	87.1	32	9	34	9	4,842	51,927	6,045	56,892	522,922	70,055	61,365	9	16	47	7	91	129	13	88	126	8	54	111	150	91,865	173,879	786,928	1,595,281	786,928	0.616	0.0502	0.4972	-0.0502	0.2482	0.7783	0.0511	0.3806	-0.0511	0.3648	0.6157	0.065	0.5693	-0.065	0.1761	125	46	128	16	9	7	0.6739	0.8261	0.8696	0.7174	0.8261	63.9	3.91	435	77.9	0.4968	9	0.6	653	9.5	0.2575	91	33	13	0.2969	0.75	0.9063	0.625	0.7266	75.4	4.35	578	84.1	0.6601	-2.5	0.16	510	3.3	0.0942	88	38	8	0.304	Strong	0.704	0.944	0.64	0.744	Average	73.5	4.35	483	83.7	Average	0.6426	-0.6	0.16	605	3.7	0.1117	47	129	126	406	33	competitive	0.0515	14.64	10.9	17.4	63	8.7	3,180	1,428	competitive	0.0145	1.63	0	0.8	82	17.2	6,592	5,001	competitive	0.0177	0.4	2.4	0.8	86.4	10.4	0.0731	0.4292	-0.0731	0.3162	106	107	38	20	9	0.6509	0.8208	0.9245	0.7358	0.8396	66.5	4.08	413	78.7	0.5402	6.4	0.43	675	8.7	0.2141	competitive	0.0242	5.78	5.7	17	67	10.4	0.784	0.07	20.37	0.1931	0.804	-0.1931	-0.0586	180	181	179	156	116	0.0111	0.1389	0.3611	0.0889	0.1667	83.4	4.71	1,439	93.5	0.8397	-10.5	-0.2	-351	-6.1	-0.0854	competitive	0.0042	0.0004	1.13	0.04	0.1544	0.0328	0.2935	-0.0328	0.4519	849,634	59.7	3.83	389	76.2	0.4652	13.2	0.68	699	0.2891	0.7802	0.6344	0.9275	0.6942	0.8088	184,060	0.7807	11.2	303,931	61,158	23.1	58	4.5	14.4	849,635	90	65.1	4.22	393	78.5	0.5365	7.8	0.29	695	0.2178	0.6067	0.7303	0.9326	0.7191	0.8427	35	70.77	16.09	0.5393	90	30.62	327	1,888	1.2663	12,662.87	0.05	219,657	93	0.0066	65.53	26.57	212.77	2.1	77.52	3.14	79.37	5.87	93.46	0.17	55.25	2.2	0	18	0.1	-7.2	null	null	null	null	null	-0.12	82,325	-0.099	-72.62	-27,718	0.052	0.09	-112,919	0.16	-72.51	-158,177	0.221	0.08	-90,281	0.14	-72.66	83,279	-0.091	0.09	-22	0.215	-72.44	-299,256	0.001	0.04	-12,479	0.134	-72.44	-272,061	0.098	0.7543	null	null	1,088	0.13	4	0	0.837	decelerating	0.13	0.93	4	4	65	261	0.855	0.859	0.859	0	0.804	119,501	126,570	126,222	1	45	decelerating	-0.27	null	86.86
E7DDW57M	Dave’s Hot Chicken	Food and Drink	Restaurants	Chicken restaurant	Chicken restaurant	2390 Monument Blvd Ste C, Pleasant Hill, CA 94523	2390 Monument Blvd Ste C	Pleasant Hill	California	null	null	94,523	US	true	37.944835	-122.055946	America/Los_Angeles	(925) 44-***	2	OPERATIONAL	true	true	null	true	Pleasant Hill	California	US	https	https://restaurants.daveshotchicken.com/ca/pleasant-hill/best-hot-chicken-sandwich-on-monument-blvd/?utm_keyword=1217	"restaurants.daveshotchicken.com/ca/pleasant-hill/best-hot-chicken-sandwich-on-monument-blvd/?utm_ke(...TRUNCATED)	restaurants.daveshotchicken.com	com	3,281	2017-05-05	2033-05-05	GoDaddy.com, LLC	null	null	0	0	0	null	true	false	4.76	727	{"1": 19, "2": 6, "3": 14, "4": 47, "5": 626}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Quick bite	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Trendy	College students, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	5	2025-11-10	2026-02-15	170	73	24	170	170	73	73	https://www.instagram.com/daveshotchicken	daveshotchicken	https://www.facebook.com/toliveandfryinla	toliveandfryinla	https://twitter.com/hotchickendaves	hotchickendaves	null	null	https://www.linkedin.com/company/daveshotchicken	daveshotchicken	null	null	null	null	null	null	null	null	2,367,133	0.12	null	0.1	0.12	0.12	1,255	null	null	null	null	null	null	null	null	null	null	null	2026-04-25T17:52:25.200655+00:00	7,031.13	1.65	0	12,766.11	496.2	56.6737	0.07	95.2	95.4	94.5	0.846	0.7593	0.8459	0.7997	0.7755	0.9756	0.9008	0.9106	92.3	88.8	82.35	0	17.65	93.59	2.56	3.85	92.13	5.06	2.81	90.85	7.04	2.11	declining	improving	-0.0866	3.5	0.0704	3.9	17	78	178	284	-12.4	9.9	-34.6	82.5	75.6	56	60	93.9	32	21	7	21	14,923	23,303	20,070	166,113	258,915	224,579	178,752	21	2	42	10	9	132	37	3	124	31	15	111	150	91,865	173,879	786,928	1,595,281	786,928	0.8959	0.0469	0.4931	-0.0469	0.3844	0.9098	0.0573	0.3433	-0.0573	0.5342	0.8656	0.0665	0.5608	-0.0665	0.3167	123	41	131	2	3	10	0.9756	0.9512	0.7805	0.9268	0.9756	62.8	3.87	433	77.4	0.4795	19.7	0.89	294	17.1	0.3688	9	13	37	0.9389	0.9084	0.7252	0.9084	0.9008	75.4	4.36	568	84.4	0.6657	7.1	0.4	159	10.1	0.1826	3	11	31	0.9837	Market Leader	0.9187	0.7561	0.9187	0.9106	Market Leader	73.2	4.32	482	82.8	Market Leader	0.6266	9.3	0.44	245	11.7	0.2217	42	132	124	474	5	competitive	0.0393	13.05	12.2	19.5	61	7.3	3,204	1,022	competitive	0.0097	1.67	0.8	0.8	80.9	17.6	6,714	5,007	competitive	0.0121	0.39	1.6	0.8	87.8	9.8	0.0731	0.428	-0.0731	0.4495	106	107	5	6	21	0.9623	0.9528	0.8113	0.9434	0.9623	66.4	4.08	417	78.6	0.5393	16.1	0.68	310	15.9	0.309	competitive	0.0162	5.78	5.7	17	67.9	9.4	0.9142	0.07	20.33	0.2042	0.8042	-0.2042	0.0733	180	181	124	79	138	0.3167	0.5667	0.2389	0.5056	0.4444	83.4	4.71	1,438	93.6	0.8405	-0.9	0.05	-711	0.9	0.0078	competitive	0.0028	0.0004	1.13	0.04	0.3684	0.0328	0.2935	-0.0328	0.584	849,634	59.7	3.83	389	76.2	0.4652	22.8	0.93	338	0.3831	0.9828	0.8024	0.7892	0.8839	0.9203	13,904	0.8706	18.3	164,074	178,793	23.1	58	4.5	14.4	849,635	90	65.1	4.22	393	78.5	0.5365	17.4	0.54	334	0.3118	0.9663	0.8876	0.8427	0.9438	0.9663	4	70.77	23.16	0.9888	90	30.62	327	1,888	1.2767	12,767.17	0.05	219,657	93	0.0065	65.46	15.46	238.1	0.94	75.76	1.46	80.65	2.62	93.46	0.08	55.25	5.8	0.01	41	0.3	28.2	null	null	null	null	null	-0.15	109,788	-0.134	-69.97	-32,280	0.062	0.08	-91,899	0.132	-69.9	-215,797	0.299	0.08	-100,466	0.154	-70.18	34,770	-0.024	0.08	-20	0.191	-69.8	-362,796	0.407	0.05	-16,534	0.166	-69.93	-362,543	0.43	0.8483	null	null	727	1.1	33	1	0.993	accelerating	1.1	7.7	33	33	75	285	0.993	0.994	0.994	1	0.993	6,842	7,264	7,284	1	10	accelerating	0.43	null	93.93
66YDF38A	ID Cafe	Food and Drink	Restaurants	Indian restaurant	"Indian restaurant, Brunch restaurant, Cafe, Caterer, Family restaurant, Hyderabadi restaurant, Sout(...TRUNCATED)	375 13th St, Oakland, CA 94612	375 13th St	Oakland	California	Downtown Oakland	Downtown	94,612	US	true	37.802813	-122.269993	America/Los_Angeles	(925) 26-***	2	OPERATIONAL	true	true	null	true	Oakland	California	US	https	https://dosa.company/idcafeantioch	dosa.company/idcafeantioch	dosa.company	company	null	null	null	null	purchase_dataset@dosa.company, purchase_dataset@suryavegndosaco.com, purchase_dataset@owner.com	realdomain	3	2	1	null	true	false	4.89	479	{"1": 3, "2": 5, "3": 1, "4": 21, "5": 458}	Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	null	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible seating	Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Vegetarian options	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert	Restroom	Casual	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	4	2023-02-10	2026-02-26	1,174	62	36	1,174	1,174	62	62	https://www.instagram.com/madrasdosaco	madrasdosaco	https://www.facebook.com/thedosacompany	thedosacompany	null	null	null	null	https://www.linkedin.com/company/dosa-by-dosa	dosa-by-dosa	null	null	null	null	null	null	null	null	11,078	6.1	null	0.46	0.95	0.95	608	null	null	null	null	null	null	null	null	https://dosa.company/menu	null	null	2026-04-25T17:50:15.067565+00:00	2.68	3.14	0	1,098.99	52.5	50	0.91	97.8	89.4	98.1	0.9418	0.8967	0.9432	0.9606	0.899	1	0.9906	0.9741	97.2	95	91.67	0	8.33	96.3	0	3.7	97.62	0	2.38	95	3.33	1.67	stable	stable	-0.0465	2.2	0.0442	2.3	12	27	42	60	28.6	80	33.3	83.5	38.5	84	80	98.8	32	233	290	339	25,155	15,484	34,905	253,533	164,384	358,354	272,092	233	1	7	3	2	107	40	1	117	48	2	1,366	2,592	91,865	173,879	786,928	1,595,281	786,928	0.8707	0.0001	0.4271	-0.0001	0.5519	0.9	0	0.3817	0	0.5973	0.8746	0.0186	0.3079	-0.0186	0.6711	116	6	106	1	1	3	1	1	0.6667	1	1	61.6	4.1	492	75.6	0.5444	21.9	0.79	-13	22.5	0.3983	2	5	40	0.9906	0.9623	0.6321	0.9434	0.9906	64	4.13	428	77.1	0.5097	19.5	0.76	51	21	0.433	1	4	48	1	Market Leader	0.9741	0.5948	0.9569	0.9741	Market Leader	69.4	4.15	489	77.9	Market Leader	0.5436	14.1	0.74	-10	20.2	0.3991	7	107	117	471	83	concentrated	0.1395	1.91	0	33.3	66.7	0	2,618	1,043	competitive	0.0104	1.35	2.8	28.3	65.1	3.8	7,188	5,079	competitive	0.0084	0.37	0	5.2	91.4	3.4	0.009	0.3383	-0.009	0.6407	108	109	2	5	38	0.9907	0.963	0.6574	0.9444	0.9907	65.6	4.13	424	77.2	0.5163	17.9	0.76	55	20.9	0.4264	competitive	0.0103	0.53	0.9	25.9	67.6	5.6	0.8824	0.92	1.61	0.1986	0.8061	-0.1986	0.1729	180	181	113	25	154	0.3778	0.8667	0.15	0.8889	0.8611	83.4	4.71	1,448	93.5	0.8393	0.1	0.18	-969	4.6	0.1034	competitive	0.0018	0.0004	1.13	0.04	0.4561	0.0328	0.2935	-0.0328	0.6855	849,634	59.7	3.83	389	76.2	0.4652	23.8	1.06	90	0.4775	0.9893	0.8494	0.6791	0.9295	0.9734	8,700	0.8543	21.9	125,589	272,150	23.1	58	4.5	14.4	849,635	1,163	59	4.31	232	79.2	0.5252	24.5	0.58	247	0.4175	0.9914	0.8064	0.8425	0.8898	0.9544	11	62.97	35.35	0.9466	1,163	2.45	4,080	2,180	0.104	1,040.22	0.05	219,657	93	0.0066	65.92	194.68	1,428.57	1.09	93.46	0.7	85.47	1.07	91.74	0.03	55.25	-0.2	0	9	0	-11	null	null	null	null	null	0.02	-30,461	0.06	-83.28	281,600	-0.368	0.05	-30,748	0.069	-83.6	483,613	-0.62	0.07	-65,042	0.113	-83.6	434,529	-0.56	-0.01	0	0	-83.06	-65,231	0.082	-0.03	-1,162	0.013	-83.17	-64,314	0.071	0.9427	null	null	479	0.17	5	0.8	0.845	decelerating	0.17	1.17	5	5	20	49	0.891	0.894	0.894	0.8	0.827	93,178	98,687	98,505	5	197	decelerating	-0.03	null	98.32
GVFNBFHE	PICANTE	Food and Drink	Restaurants	Mexican restaurant	"Mexican restaurant, Breakfast restaurant, Brunch restaurant, Burrito restaurant, Caterer, Dessert r(...TRUNCATED)	2170 Main St Ste F, Oakley, CA 94561	2170 Main St Ste F	Oakley	California	null	null	94,561	US	true	38.002998	-121.731476	America/Los_Angeles	(925) 30-***	2	OPERATIONAL	true	true	null	true	Oakley	California	US	https	https://picanteoakleyca.com	picanteoakleyca.com	picanteoakleyca.com	com	821	2024-01-29	2027-01-29	GoDaddy.com, LLC	purchase_dataset@gmail.com, purchase_dataset@owner.com	null	2	1	1	null	true	false	4.63	280	{"1": 16, "2": 2, "3": 11, "4": 23, "5": 245}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Small plates, Vegetarian options	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating	Restroom	Casual	Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2022-12-03	2026-02-01	1,243	87	13	1,243	1,243	87	87	https://www.instagram.com/picanteoakley	picanteoakley	https://www.facebook.com/p/picante-oakley-100088531503379	picante-oakley-100088531503379	null	null	null	null	null	null	null	null	null	null	null	null	null	null	152	22.84	null	5.92	5.92	5.92	7	null	null	null	null	null	null	null	null	https://picanteoakleyca.com/menu	null	null	2026-04-25T17:49:56.438513+00:00	0.12	2.58	0.6	3,548.05	249.5	33.8164	0.28	92.6	81.6	90.7	0.8065	0.7805	0.8788	0.8683	0.865	1	0.962	0.9008	93.9	93.2	90	10	0	94.83	5.17	0	93.33	5.19	1.48	93.33	5.13	1.54	declining	stable	-0.0983	0.7	0.0138	0.8	10	58	135	195	-14.1	19	-48.3	80	44.5	76	80	95.1	32	18	12	25	38,035	36,593	54,144	355,587	391,174	524,988	380,755	18	1	12	6	2	80	44	9	122	80	31	33	59	91,865	173,879	786,928	1,595,281	786,928	0.7455	0.0099	0.4668	-0.0099	0.4678	0.8364	0	0.2405	0	0.6941	0.8089	0.0101	0.3148	-0.0101	0.6198	121	11	79	1	2	6	1	0.9091	0.5455	0.9091	1	64.2	3.95	334	71.1	0.4433	15.8	0.68	-54	19.6	0.3658	2	7	44	0.9873	0.9241	0.4557	0.8987	0.962	62	3.76	426	71.5	0.421	18	0.87	-146	19.2	0.3881	9	14	80	0.9339	Market Leader	0.8926	0.3471	0.8678	0.9008	Market Leader	70.2	4.18	512	78.6	Strong	0.5606	9.8	0.45	-232	12.1	0.2485	12	80	122	365	24	moderate	0.0707	3.5	0	27.3	72.7	0	3,995	1,236	competitive	0.0082	1.01	6.3	27.8	64.6	1.3	7,678	5,041	competitive	0.0045	0.39	0.8	5	87.6	6.6	0.0235	0.3743	-0.0235	0.5603	34	35	1	5	19	1	0.8824	0.4706	0.8529	0.9118	64.9	4.05	368	74.8	0.4854	15.1	0.58	-88	15.9	0.3237	competitive	0.0219	0.81	0	29.4	70.6	0	0.8059	0.29	5.09	0.1986	0.8044	-0.1986	0.1302	180	181	147	125	170	0.1889	0.3111	0.0611	0.25	0.2944	83.4	4.71	1,429	93.6	0.8399	-3.4	-0.08	-1,149	-2.9	-0.0308	competitive	0.0011	0.0004	1.13	0.04	0.1872	0.0328	0.2935	-0.0328	0.6411	849,634	59.7	3.83	389	76.2	0.4652	20.3	0.8	-109	0.3439	0.9555	0.7254	0.5512	0.795	0.8802	36,567	0.7652	14.5	227,318	380,689	23.1	58	4.5	14.4	849,635	22	68.2	4.26	402	81.3	0.5875	11.8	0.37	-122	0.2216	1	0.9048	0.4286	0.8571	0.9524	1	81.34	9.93	0.9048	22	7.84	1,275	1,035	0.2888	2,888.35	0.05	219,657	93	0.0065	65.08	50.02	833.33	0.68	125	0.2	81.97	4.78	285.71	0.01	55.25	1.9	0	15	0.1	-2.5	null	null	null	null	null	0.08	-98,288	0.146	-64.05	-25,813	0.047	0.05	-27,485	0.067	-64.51	378,456	-0.472	0.07	-68,048	0.115	-64.38	244,579	-0.302	0.02	-2	0.057	-64	-248,279	0.309	-0.05	-8,828	0.09	-64.1	-244,182	0.259	0.8091	100	0	280	0.43	13	1	0.993	decelerating	0.43	3.03	13	13	54	181	0.974	0.974	0.974	1	0.991	25,997	27,651	27,681	1	73	decelerating	-0.2	null	91.27
U9C92YXD	四姐 Special Noodle	Food and Drink	Restaurants	Chinese noodle restaurant	Chinese noodle restaurant, Chinese restaurant, Dim sum restaurant, Dumpling restaurant	6180 Jarvis Ave Ste U, Newark, CA 94560	6180 Jarvis Ave Ste U	Newark	California	null	null	94,560	US	true	37.548632	-122.049044	America/Los_Angeles	(510) 89-***	2	OPERATIONAL	true	true	null	true	Newark	California	US	https	https://ganjingworld.com/zh-cn/channel/1h4mrfeic73mtcmbh7fkfaqx510i0c	ganjingworld.com/zh-cn/channel/1h4mrfeic73mtcmbh7fkfaqx510i0c	ganjingworld.com	com	1,510	2022-03-11	2031-03-11	Squarespace Domains II LLC	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@ganjingworld.com, purchase(...TRUNCATED)	realdomain	21	21	0	null	true	false	4.5	381	{"1": 16, "2": 15, "3": 20, "4": 51, "5": 314}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Small plates, Vegetarian options	Lunch, Dinner, Seating, Table service	Restroom	Casual	Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	6	2025-11-12	2026-03-24	168	36	36	168	168	36	36	https://www.instagram.com/ganjingworldofficial	ganjingworldofficial	https://www.facebook.com/ganjingworld	ganjingworld	https://twitter.com/ganjingworld	ganjingworld	https://www.tiktok.com/@ganjingworld	ganjingworld	https://www.linkedin.com/company/gan-jing-world	gan-jing-world	null	null	null	null	null	null	null	null	17,150	0.15	null	0.17	0.15	0.15	2,502	27	0	0	null	null	null	null	null	https://bestfoodtodayus.com/ordering/?restaurant_uid=14f059e5-fef9-4b39-b5f0-dd05b8a7b572	null	null	2026-04-25T16:50:28.621632+00:00	39.53	0.92	0	9,418.57	303.4	86.6261	0.09	90	86.1	87.1	0.6701	0.3893	0.3707	0.6563	0.7147	0.85	0.7143	0.7197	68.5	85.7	84.21	0	15.79	87.27	5.45	7.27	94.49	2.36	3.15	93.51	2.7	3.78	stable	declining	0.0186	-17.2	-0.344	-20.1	19	55	127	185	-13.4	18.9	3.6	77.2	55.1	64	80	73.6	32	46	70	67	30,651	53,691	43,022	298,267	537,638	430,148	319,717	46	4	61	20	14	120	66	29	133	88	57	170	331	91,865	173,879	786,928	1,595,281	786,928	0.6561	0.0177	0.4832	-0.0177	-0.0777	0.835	0.0431	0.2898	-0.0431	0.1157	0.737	0.0525	0.4154	-0.0525	-0.0099	132	60	119	4	11	20	0.95	0.8333	0.6833	0.8167	0.85	58.9	3.85	290	73.8	0.428	18.3	0.65	91	13.3	0.2703	14	23	66	0.8908	0.8151	0.4538	0.7059	0.7143	68.6	4.26	537	81.6	0.5925	8.6	0.24	-156	5.5	0.1058	29	28	88	0.7879	Market Leader	0.7955	0.3409	0.7576	0.7197	Strong	71.4	4.23	667	80.5	Strong	0.5723	5.8	0.27	-286	6.6	0.126	61	120	133	323	29	competitive	0.0215	19.1	15	18.3	65	1.7	3,998	2,093	competitive	0.0059	1.52	4.2	4.2	88.2	3.4	6,806	5,057	competitive	0.0043	0.42	3.8	0.8	89.4	6.1	0.0312	0.3566	-0.0312	0.0489	113	114	9	20	46	0.9292	0.8319	0.6018	0.7965	0.7788	65.4	4.17	397	78.7	0.539	11.8	0.33	-16	8.4	0.1593	competitive	0.0084	3.13	4.4	11.5	82.3	1.8	0.8018	0.09	15.55	0.1931	0.8047	-0.1931	-0.3992	180	181	164	158	164	0.0944	0.1278	0.0944	0.0667	0.0722	83.4	4.71	1,434	93.6	0.8412	-6.2	-0.21	-1,053	-6.5	-0.1429	competitive	0.0015	0.0004	1.13	0.04	0.1044	0.0328	0.2935	-0.0328	0.112	849,634	59.7	3.83	389	76.2	0.4652	17.5	0.67	-8	0.2331	0.9015	0.6221	0.6232	0.6851	0.7252	81,655	0.7342	10.9	310,590	319,622	23.1	58	4.5	14.4	849,635	144	56.4	4.13	272	75.6	0.4589	20.8	0.37	109	0.2394	0.958	0.7273	0.7483	0.7832	0.8112	6	63.53	17.8	0.4685	144	23.77	421	1,316	0.9433	9,433.4	0.05	219,657	93	0.0065	65.27	4.6	163.93	0.35	83.33	0.19	75.19	0.71	87.72	0.02	55.25	5.4	0.01	17	0.3	15.6	null	null	null	null	null	0.03	1,811	0.024	-69.37	360,843	-0.464	0.04	8,285	0.01	-69.22	254,078	-0.318	0.05	-131	0.025	-69.29	296,201	-0.375	0.03	-30	0.162	-69.03	-152,794	0.107	0.05	-22,277	0.224	-69.2	-142,524	0.086	0.6983	100	0	381	0.47	14	1	0.973	stable	0.47	3.27	14	14	42	156	0.976	0.977	0.977	1	0.945	23,479	24,959	24,978	1	7	stable	0.27	null	81.33
GABTLGX5	Nick's Rockaway	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant, Restaurant	100 Rockaway Beach Ave, Pacifica, CA 94044	100 Rockaway Beach Ave	Pacifica	California	Rockaway Beach	null	94,044	US	true	37.609578	-122.496819	America/Los_Angeles	(650) 35-***	2	OPERATIONAL	true	true	null	true	Pacifica	California	US	http	http://nicksrestaurant.net	nicksrestaurant.net	nicksrestaurant.net	net	8,629	2002-09-13	2026-09-13	Wild West Domains, LLC	purchase_dataset@nicksrestaurant.net, purchase_dataset@yahoo.com	realdomain	2	2	0	Seafood restaurant & bar offering a signature crab sandwich, ocean views & live music on weekends.	true	true	4.46	2,497	{"1": 73, "2": 67, "3": 251, "4": 688, "5": 2037}	Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great wine list, (...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Historic, Romantic	Groups, Tourists	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/nicksrestaurant	nicksrestaurant	https://twitter.com/hulabeast	hulabeast	null	null	https://www.linkedin.com/in/bryan-brown-a5600545	bryan-brown-a5600545	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-25T16:32:11.737767+00:00	0	0.25	0.7	6,772	398.9	60.7595	0.11	89.2	100	87.1	0.7464	0.6228	0.6537	0.614	0.673	1	0.7833	0.7704	82.7	83.7	81.82	18.18	0	84.62	15.38	0	83.33	15.56	1.11	85.39	13.48	1.12	stable	stable	-0.0309	-1	-0.0193	-1.2	11	39	90	178	-13.3	-12.4	-15.4	77.4	35.1	32	100	94.5	32	2	47	2	262	59,910	381	3,272	587,253	4,443	3,439	2	2	8	1	7	61	2	40	136	2	61	72	123	91,865	173,879	786,928	1,595,281	786,928	0.7933	0.0418	0.5187	-0.0418	0.414	0.9	-0.0483	0.154	0.0483	0.7787	0.845	0.0418	0.3884	-0.0418	0.5443	135	7	60	2	2	1	0.8571	0.8571	1	0.5714	1	72.2	4.35	727	84.1	0.6237	5.2	0.11	1,770	3	0.1247	7	23	2	0.9	0.6333	0.9833	0.6333	0.7833	66.8	4.12	352	79.9	0.5765	10.6	0.34	2,145	7.2	0.1719	40	41	2	0.7111	Market Leader	0.7037	0.9926	0.637	0.7704	Market Leader	74.7	4.29	666	82.2	Strong	0.6211	2.7	0.17	1,831	4.9	0.1273	8	61	136	456	25	moderate	0.3292	2.23	0	14.3	71.4	14.3	3,258	1,129	competitive	0.1056	0.76	3.3	18.3	73.3	5	8,209	5,507	competitive	0.027	0.43	0.7	0.7	87.4	11.1	0.0306	0.362	-0.0306	0.5707	71	72	8	25	2	0.9014	0.662	0.9859	0.6338	0.8028	66.8	4.11	370	80.5	0.5829	10.6	0.35	2,127	6.6	0.1655	competitive	0.0868	2.18	4.2	16.9	73.2	5.6	0.8549	0.12	12.27	0.1931	0.8064	-0.1931	0.1263	180	181	163	164	24	0.1	0.0944	0.8722	0.0667	0.1611	83.4	4.71	1,445	93.5	0.8396	-6	-0.25	1,052	-6.4	-0.0912	competitive	0.0095	0.0004	1.13	0.04	0.33	0.0328	0.2935	-0.0328	0.6392	849,634	59.7	3.83	389	76.2	0.4652	17.7	0.63	2,108	0.2832	0.9061	0.5888	0.996	0.6851	0.7998	77,896	0.8379	10.9	342,296	3,417	23.1	58	4.5	14.4	849,635	60	68.1	4.32	381	81.9	0.609	9.3	0.14	2,116	0.1394	0.8814	0.6102	1	0.6102	0.7966	8	76.26	13.21	0.6949	60	18.37	544	1,185	0.6799	6,798.65	0.05	219,657	93	0.0066	65.76	1,084.03	1,250	111.51	163.93	7.29	73.53	75.34	138.89	0.9	55.25	1.4	0	9	-0.1	-5.4	null	null	null	null	null	0.02	-8,863	0.014	-85.28	-26,567	0.04	0.05	-82,182	0.133	-85.79	395,246	-0.506	0.1	-110,081	0.165	-85.5	249,569	-0.324	0.08	-16	0.215	-85.26	-62,142	-0.013	0.03	-9,431	0.098	-85.26	-52,047	-0.021	0.7484	null	null	2,497	0.1	3	0	0.828	decelerating	0.1	0.7	3	3	24	168	0.799	0.804	0.804	0	0.818	159,052	168,566	167,958	2	200	decelerating	-0.13	null	89.47
6X5CT3QH	Georgian Cheese Boat	Food and Drink	Restaurants	Georgian restaurant	Georgian restaurant	1224 Grant Ave, San Francisco, CA 94133	1224 Grant Ave	San Francisco	California	North Beach	Telegraph Hill	94,133	US	true	37.798356	-122.407049	America/Los_Angeles	(415) 58-***	2	null	true	true	null	true	San Francisco	California	US	http	http://georgiancheeseboat.com	georgiancheeseboat.com	georgiancheeseboat.com	com	1,155	2023-03-01	2033-03-01	Squarespace Domains II LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.29	467	{"1": 56, "2": 12, "3": 27, "4": 50, "5": 337}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance	Alcohol, Beer, Coffee, Comfort food, Small plates, Vegan options, Vegetarian options, Wine	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual	null	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	6	2023-01-22	2024-05-11	1,193	718	24	1,193	1,193	718	718	https://www.instagram.com/georgiancheeseboat	tamarigeorgiancuisine	https://www.facebook.com/georgiancheeseboat	georgiancheeseboat	https://twitter.com/assaia_rest	assaia_rest	null	null	null	null	null	null	null	null	null	null	null	null	294	12.63	null	null	null	null	90	null	null	null	null	null	null	null	null	https://georgiancheeseboat.com/menu	null	null	2026-04-25T04:06:16.291834+00:00	0.01	1.84	1.3	2,637.6	54	122.3368	1.11	85.8	89	81.6	0.598	0.14	0.1339	0.2224	0.2548	0.1679	0.0407	0.1173	56.7	62.7	60	30	10	66.67	28.57	4.76	67.35	28.57	4.08	64.86	31.53	3.6	stable	declining	0.0061	-6	-0.1209	-9.6	10	21	49	111	-14.3	-24.3	42.9	72.8	35.1	84	80	61.8	30	990	4,148	1,497	25,794	86,366	35,838	258,736	788,687	366,630	277,631	990	122	132	94	170	173	140	150	163	116	73	3,689	7,155	91,865	173,879	786,928	1,595,281	786,928	0.1654	0.1416	0.6113	-0.1416	-0.5403	0.1908	0.1184	0.5317	-0.1184	-0.4607	0.0924	0.2066	0.6161	-0.2066	-0.5451	162	131	172	122	100	94	0.0763	0.2443	0.2901	0.2061	0.1679	77.8	4.43	967	85.9	0.7023	-5	-0.14	-500	-4.3	-0.092	170	157	140	0.0174	0.093	0.1919	0.0465	0.0407	80.7	4.54	1,129	89.2	0.7597	-7.9	-0.25	-662	-7.6	-0.1494	150	138	116	0.0802	Emerging	0.1543	0.2901	0.1296	0.1173	Emerging	79	4.51	754	88.3	Emerging	0.7387	-6.2	-0.22	-287	-6.7	-0.1284	132	173	163	515	13	competitive	0.0037	41.7	0.8	0	68.7	30.5	2,615	1,026	competitive	0.0024	2.19	0	0	34.9	65.1	7,027	5,002	competitive	0.0038	0.52	0.6	0	51.9	47.5	0.2053	0.6224	-0.2053	-0.5514	177	178	174	174	147	0.0226	0.0226	0.1751	0.0169	0.0282	81.2	4.56	1,215	89.9	0.772	-8.4	-0.27	-748	-8.3	-0.1617	competitive	0.0022	0.29	0	0	33.3	66.7	0.0684	1.11	1.64	0.1997	0.8053	-0.1997	-0.7343	179	180	178	178	153	0.0112	0.0112	0.1508	0.0112	0.0279	83.5	4.71	1,435	93.6	0.8403	-10.7	-0.42	-968	-12	-0.23	competitive	0.0018	0.0004	1.13	0.04	0.0531	0.0328	0.2935	-0.0328	-0.2225	849,634	59.7	3.83	389	76.2	0.4652	13.1	0.46	78	0.1451	0.7771	0.4456	0.6729	0.521	0.5993	186,740	0.6464	5.4	464,297	277,467	23.1	58	4.5	14.4	849,635	3,260	64.2	4.31	374	80.5	0.5616	8.6	-0.02	93	0.0487	0.6462	0.363	0.7248	0.4066	0.4342	1,142	69.52	11.47	0.371	3,260	2.03	4,938	1,455	0.2461	2,461.04	0.05	220,884	93	0.0065	64.98	0.13	75.76	0.06	57.8	0.14	61.35	0.05	56.18	0.03	55.56	-1.3	0.02	-11	0.6	2.3	null	null	null	null	null	0.01	-1,409	0.003	-65.14	-133,374	0.186	0.03	-35,329	0.052	-65.14	-126,994	0.175	0.08	-99,276	0.143	-65.21	-74,326	0.105	-0.01	-19	0.009	-65.61	-153,576	-0.137	-0.03	-1,176	0.021	-65.59	-130,029	-0.051	0.6103	null	null	467	0.1	3	0	0.625	decelerating	0.1	0.7	3	3	17	118	0.799	0.804	0.804	0	0.625	159,052	168,566	167,958	1	2	decelerating	0.03	null	80.99

Tech-Ready Restaurants in the San Francisco-Oakland-Fremont Metro Area, CA, US

Free sample dataset from BeamStation

The dataset lists tech‑ready restaurants in the San Francisco‑Oakland‑Fremont metropolitan area of California, United States. Each entry represents an establishment that is well‑established and shows strong recent customer sentiment, yet does not currently offer online reservation or online ordering capabilities. This combination signals a clear opportunity for technology adoption and modernization. The collection contains 81 records and is updated on a weekly basis to keep the information current. Users such as technology vendors, consultants, or investors looking to target restaurants that are primed for digital upgrades can use this list to identify prospects, prioritize outreach, and evaluate market potential. The data can be accessed directly via the URL provided.

Dataset Details

Field	Value
Full dataset	81 records
Sample size	8 records
Location	San Francisco-Oakland-Fremont, CA
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/tech-ready-restaurants-in-the-san-francisco-oakland-fremont-metro-area-ca-us-145335")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 81 records and unmasked contact data is available at:

Tech-Ready Restaurants in the San Francisco-Oakland-Fremont Metro Area, CA, US on BeamStation

License

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

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