Datasets:

beamstation
/

all-restaurants-in-san-leandro-california-us-118471

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age 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	description string	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github string	social_username_github string	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_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	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_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_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_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
GR78PLVB	Buffet Fortuna	Food and Drink	Restaurants	Buffet restaurant	Buffet restaurant, American restaurant, Asian restaurant, Chinese restaurant, Restaurant	1330 Washington Ave, San Leandro, CA 94577	1330 Washington Ave	San Leandro	California	Old San Leandro	Downtown	94,577	US	true	37.724575	-122.155791	America/Los_Angeles	(510) 61-***	2	null	true	San Leandro	California	US	null	null	null	null	null	null	null	null	null	null	null	0	0	Simple spot serving all-you-can-eat, buffet-style Chinese, Japanese & American fare.	3.29	893	{"1": 223, "2": 92, "3": 147, "4": 180, "5": 329}	Takeout, Dine-in	Fast service, Great dessert, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, All you can eat, Beer, Coffee, Comfort food, Healthy options, Private dining room, Quick b(...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-03-26T01:13:53.889078+00:00	0	1.37	6.4	6,922.36	800.1	44.4934	0.1	65.8	98.4	52.3	0.1129	-1	-0.05	0.0855	0.0035	0.5203	0.2466	0.4278	47.5	50.2	0	100	0	40	40	20	51.52	36.36	12.12	46.75	41.56	11.69	declining	declining	-0.95	-2.7	-0.0535	-5.4	1	10	33	77	59.2	68.5	0	50	54.2	98	27	459	37	10,426	142,431	14,012	118,574	1,253,565	165,069	128,288	27	416,468	70	491,867	409,097	101	428,639	364,490	101	418,983	203	276	512	87,651	163,016	724,238	1,424,284	724,238	0.4654	0.2771	0.557	-1.2771	-0.6724	0.3562	0.2083	0.4101	-1.2083	-0.5255	0.3881	0.2763	0.5415	-1.2763	-0.6569	100	69	100	416,468	520,027	491,867	0.428	0.2854	0.3311	0.4525	0.5203	64	3.81	339	76.6	0.4904	-8.3	-0.52	554	-24.3	-0.3778	409,097	536,776	428,639	0.4481	0.2703	0.426	0.2218	0.2466	72.4	4.11	628	76.7	0.5018	-16.7	-0.82	265	-24.4	-0.3892	364,490	394,533	418,983	0.5008	Below Average	0.4495	0.4339	0.4809	0.4278	Below Average	76.9	4.32	811	83.2	Average	0.6088	-21.2	-1.03	82	-30.9	-0.4962	70	101	101	360	29	competitive	0.0368	21.96	8.7	18.8	68.1	4.3	3,089	1,037	competitive	0.014	1.27	3	87	10	8,396	5,018	competitive	0.0109	0.32	0	74	26	0.2338	0.5622	-1.2338	-0.6776	100	101	257	304	29	0.1924	0.0442	0.9117	0.0757	0.082	73.1	4.17	630	78.6	0.5415	-17.4	-0.88	263	-26.3	-0.4289	competitive	0.014	2.49	2	87	11	0.3637	0.1	8.03	0.2539	0.8297	-1.2539	-0.9451	100	101	78,083	96,709	12,173	0.2285	0.0459	0.8798	0.1051	0.1342	85	4.78	1,893	95.2	0.8458	-29.3	-1.49	-1,000	-42.9	-0.7332	competitive	0.0047	0.0002	1	0.02	0.3691	0.2094	0.3682	-1.2094	-0.4836	828,388	62.9	3.88	394	76.6	0.4737	-7.2	-0.59	499	-0.3611	0.2456	0.0683	0.8356	0.1395	0.1787	623,300	0.3694	-24.3	770,495	135,961	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	-8.1	-0.96	568	-0.4124	0.183	0.0298	0.9149	0.0723	0.0681	193	67.81	1.96	0.3064	236	10.99	910	2,270	0.6922	6,922.36	0.03	395,382	93	0.0048	47.88	13.51	142.86	1.97	99.01	1.19	99.01	1.95	99.01	0.22	99.01	-4	0	8	-0.1	-15.1	null	null	null	null	null	0	-25,675	0.035	0.36	416,467	0.428	0	-12,450	0.016	0.39	409,096	0.448	0	-8,560	0.011	0.47	364,488	0.501	0.08	-569,485	-0.111	0.36	257	0.192	-0.28	-117,638	-0.413	0.37	78,083	0.229	0.1126	0	100	893	0.37	11	0	0.819	accelerating	0.37	2.57	11	11	22	89	0.908	0.911	0.911	0	0.819	75,655	78,604	78,576	1	29	accelerating	0.17	null	69.77
3WY7XJVV	Indian Grill	Food and Drink	Restaurants	Restaurant	Restaurant	1600 Washington Ave, San Leandro, CA 94577	1600 Washington Ave	San Leandro	California	Old San Leandro	Downtown	94,577	US	true	37.722042	-122.153869	America/Los_Angeles	(510) 87-***	2	null	true	San Leandro	California	US	https	https://indiangrillsanleandro.com	indiangrillsanleandro.com	indiangrillsanleandro.com	com	2,883	2018-05-09	2026-05-09	IONOS SE	purchase_dataset@gmail.com	null	1	1	Simple spot offering traditional Indian food & flavors, such as curries, breads & biryanis.	4.31	370	{"1": 30, "2": 11, "3": 21, "4": 58, "5": 245}	No-contact delivery, Delivery, Drive-through, 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, All you can eat, Beer, Coffee, Halal food, Healthy options, Quick bite, Small plates, Vega(...TRUNCATED)	Lunch, Dinner, Counter service, Dessert, Table service	Restroom	Casual, Quiet	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	purchase_dataset@	true	true	3	https://www.instagram.com/indiangrill_sanleandro	indiangrill_sanleandro	https://www.facebook.com/indiangrillsl	indiangrillsl	null	null	https://www.tiktok.com/@indyaeleandro	indyaeleandro	null	null	null	null	null	null	null	null	null	null	36	3.7	null	9.26	9.26	6.35	81	null	null	null	null	12	1	2	7.69	null	null	null	7.69	https://lokobee.com/restaurants/7vhyp3npsepuhx5zrmexp1	https://indiangrillsanleandro.com	https://indiangrillsanleandro.com	2026-03-22T05:58:46.493130+00:00	0.04	0.12	1.2	7,480.72	266	44.4934	0.1	86.2	85.6	82.7	0.3918	0.5	0.2251	0.3783	0.2929	0.5154	0.2872	0.3847	61.3	64.6	100	0	0	71.43	14.29	14.29	86.67	6.67	6.67	69.77	13.95	16.28	improving	declining	0.2749	-3.3	-0.0678	-5.1	1	7	15	43	72.6	27.4	76	100	54.5	90	92	220	139	30,641	81,500	43,740	285,706	736,679	434,210	306,805	92	438,042	72	478,544	398,156	101	425,061	386,644	101	406,002	82	276	512	87,651	163,016	724,238	1,424,284	724,238	0.4435	0.2754	0.5359	-0.2754	-0.3374	0.3684	0.1532	0.3915	-0.1532	-0.193	0.3993	0.2613	0.5451	-0.2613	-0.3466	100	71	100	438,042	473,358	478,544	0.3989	0.347	0.3492	0.4638	0.5154	63.6	3.87	348	76.8	0.489	5.8	0.43	20	5.8	-0.1059	398,156	526,974	425,061	0.4631	0.2827	0.4307	0.239	0.2872	72.7	4.12	632	77	0.5151	-3.3	0.18	-264	5.6	-0.132	386,644	434,185	406,002	0.4719	Below Average	0.3978	0.4515	0.435	0.3847	Below Average	76.5	4.29	828	82.5	Average	0.5954	-7.1	0.01	-460	0.1	-0.2123	72	101	101	394	23	competitive	0.0147	22.6	7	23.9	66.2	2.8	3,048	1,048	competitive	0.0058	1.27	3	86	11	8,376	5,190	competitive	0.0044	0.32	0	76	24	0.2338	0.5702	-0.2338	-0.3717	100	101	115	141	106	0.6404	0.5521	0.6688	0.6025	0.3155	73.1	4.17	632	78.6	0.5437	-3.7	0.13	-264	4	-0.1606	competitive	0.0058	2.49	2	87	11	0.6224	0.1	8.03	0.2639	0.8282	-0.2639	-0.6297	100	101	39,219	54,619	35,348	0.6102	0.4523	0.6509	0.522	0.3019	85	4.78	1,889	95.1	0.8453	-15.6	-0.48	-1,521	-12.5	-0.4622	competitive	0.0019	0.0002	1	0.02	0.575	0.2094	0.3682	-0.2094	-0.1697	828,388	62.9	3.88	394	76.6	0.4737	6.5	0.42	-26	-0.0906	0.6117	0.4594	0.6043	0.5419	0.3462	318,954	0.5638	6	441,283	327,303	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	5.6	0.05	43	-0.1419	0.6383	0.4894	0.6979	0.5447	0.2553	86	67.81	-30.65	0.1745	236	10.99	910	2,270	0.6947	6,946.53	0.03	395,382	93	0.0048	47.77	2.15	138.89	0.34	99.01	0.2	99.01	0.33	99.01	0.04	99.01	-9.4	-0.01	2	-0.2	-33.5	null	null	null	null	null	-0.01	-16,577	0.023	0.37	438,041	0.399	0	-15,614	0.021	0.4	398,150	0.463	-0.01	9,483	-0.013	0.44	386,632	0.472	0.34	-569,627	0.337	0.62	115	0.64	-0.08	-156,502	-0.031	0.58	39,219	0.61	0.3831	null	null	368	0.03	1	0.333	0.291	decelerating	0.03	0.23	1	1	9	43	0.281	0.292	0.294	0.333	0.291	528,654	556,970	554,104	16	6,025	decelerating	-0.07	null	37.16
2D2NVVWD	Fusion Delight	Food and Drink	Restaurants	Chinese restaurant	Chinese restaurant	699 Lewelling Blvd Unit 212, San Leandro, CA 94579	699 Lewelling Blvd Unit 212	San Leandro	California	Floresta Gardens - Bradrick	Washington Manor	94,579	US	true	37.688436	-122.136265	America/Los_Angeles	(510) 89-***	2	null	true	San Leandro	California	US	http	http://fusiondelight.net	fusiondelight.net	fusiondelight.net	net	2,349	2019-10-25	2027-10-25	Wix.com Ltd.	null	null	0	0	Dim sum & eclectic Asian plates whipped up in a relaxed dining room with contemporary lighting.	3.79	931	{"1": 118, "2": 64, "3": 115, "4": 313, "5": 393}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great tea selection, Serves local specialty	Lunch, Dinner	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Comfort food, Hard liquor, Private dining room, Small plates, Wine	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy	Groups	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/fusion._delight	fusion._delight	https://www.facebook.com/fusiondelight	fusiondelight	https://twitter.com/dominic36596832	dominic36596832	null	null	null	null	https://www.youtube.com/user/manjulaskitchen	manjulaskitchen	null	null	null	null	null	null	106	8.49	null	null	null	null	5	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-03-21T19:53:03.177371+00:00	0.12	0.25	1.1	7,471.33	199.6	44.4934	0.1	75.8	99	70.2	0.3601	0.4	0.2698	0.4028	0.3725	0.5134	0.2522	0.2098	63.5	68.6	80	20	0	68.18	27.27	4.55	72.22	20.37	7.41	70.34	21.19	8.47	improving	declining	0.1302	-5.1	-0.1027	-7.4	5	22	54	118	71.7	32.8	84	83	67.3	88	24	399	33	9,649	128,786	12,935	110,970	1,111,307	154,062	120,247	24	360,291	28	386,455	386,490	101	353,336	507,047	101	517,518	171	276	512	87,651	163,016	724,238	1,424,284	724,238	0.271	0.2825	0.4666	-0.2825	-0.168	0.5157	0.1296	0.3907	-0.1296	-0.0921	0.4201	0.2405	0.4735	-0.2405	-0.1749	100	27	100	360,291	306,839	386,455	0.5038	0.5733	0.474	0.4235	0.5134	65	4.07	410	76.1	0.4884	4.1	-0.29	503	-6.1	-0.1284	386,490	563,634	353,336	0.4781	0.2362	0.5267	0.1909	0.2522	73	4.08	715	76.1	0.5036	-3.9	-0.3	198	-6.1	-0.1436	507,047	598,682	517,518	0.3128	Average	0.1848	0.3016	0.1575	0.2098	Average	73.3	4.12	648	77.1	Below Average	0.529	-4.2	-0.34	265	-7.1	-0.169	28	101	101	442	103	competitive	0.0763	8.59	0	25.9	74.1	0	3,448	1,213	competitive	0.0126	1.27	2	87	11	6,583	5,042	competitive	0.0139	0.32	2	88	10	0.2338	0.5692	-0.2338	-0.2706	100	101	123	260	26	0.6088	0.1798	0.9211	0.2618	0.2776	73.1	4.17	627	78.7	0.5439	-4	-0.39	286	-8.7	-0.1839	competitive	0.0144	2.49	2	87	11	0.5738	0.1	8.03	0.2639	0.8282	-0.2639	-0.5296	100	101	40,268	86,892	11,609	0.5996	0.1402	0.8852	0.2404	0.2795	85	4.78	1,889	95.1	0.8453	-15.9	-1	-976	-25.1	-0.4853	competitive	0.0048	0.0002	1	0.02	0.5475	0.2094	0.3682	-0.2094	-0.0696	828,388	62.9	3.88	394	76.6	0.4737	6.2	-0.1	519	-0.1137	0.6019	0.1817	0.8412	0.2897	0.326	327,093	0.5476	-6.6	675,212	131,353	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	5.3	-0.47	588	-0.165	0.6085	0.1191	0.9277	0.2043	0.2255	92	67.81	8.54	0.4085	236	10.99	910	2,270	0.6887	6,886.65	0.03	395,382	93	0.0048	47.77	58.15	357.14	1.59	99.01	1.93	99.01	2.06	99.01	0.23	99.01	-7.4	0	4	0	-51.5	null	null	null	null	null	-0.03	29,328	-0.04	0.52	360,290	0.504	-0.03	47,884	-0.064	0.42	386,487	0.478	-0.01	279	0	0.27	507,043	0.313	0.29	-569,619	0.305	0.57	123	0.609	-0.11	-155,453	-0.042	0.55	40,268	0.6	0.36	null	null	913	0.07	2	0.704	0.411	decelerating	0.07	0.47	2	2	36	128	0.439	0.452	0.454	0.704	0.411	417,455	437,538	435,431	4	1,476	decelerating	-0.4	null	76.35
EJV2ULKN	Porky's Pizza Palace	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	1221 Manor Blvd, San Leandro, CA 94579	1221 Manor Blvd	San Leandro	California	Washington Manor - Bonaire	Washington Manor	94,579	US	true	37.691554	-122.152359	America/Los_Angeles	(510) 35-***	2	null	true	San Leandro	California	US	https	https://porkyspizzapalace.com	porkyspizzapalace.com	porkyspizzapalace.com	com	9,209	2001-01-12	2027-01-12	Network Solutions, LLC	null	null	0	0	"A wide variety of pizzas, subs & hearty Italian eats served in a very casual family-friendly space.(...TRUNCATED)	4.49	1,176	{"1": 41, "2": 40, "3": 103, "4": 325, "5": 1046}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Serves local specialty, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Coffee, Comfort food, Late-night food, Quick bite, Small plates, Wine	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Historic, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Good for kids birthday, High chairs, Kids' menu	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://porkyspizzapalace.com	null	null	2026-03-21T19:23:50.842189+00:00	0	0.37	2.5	6,858.63	796.9	44.4934	0.1	89.8	100	88.3	0.7521	1	1	0.8584	0.749	0.5448	0.272	0.2083	100	87.5	100	0	0	100	0	0	92.31	7.69	0	88.16	11.84	0	stable	improving	0	12.5	0.251	14.3	2	10	39	76	72	35.1	0	67	96.5	88	12	144	16	2,557	53,851	3,229	23,158	527,053	28,998	24,688	12	459,193	12	698,216	394,323	101	402,813	478,411	101	479,821	45	276	512	87,651	163,016	724,238	1,424,284	724,238	0.3013	0.3233	0.4764	-0.3233	0.5188	0.3976	0.2348	0.5237	-0.2348	0.4715	0.4064	0.2305	0.4867	-0.2305	0.5085	100	11	100	459,193	156,982	698,216	0.3705	0.7785	0.0529	0.7725	0.5448	63.2	4.28	130	82.5	0.4974	6	0.21	1,038	5.8	0.2539	394,323	536,776	402,813	0.4679	0.2703	0.4605	0.2273	0.272	72.8	4.11	657	76.8	0.5102	-3.6	0.38	511	11.5	0.2411	478,411	598,682	479,821	0.3506	Below Average	0.1848	0.3521	0.1575	0.2083	Average	74.3	4.12	720	77.1	Below Average	0.5282	-5.1	0.37	448	11.2	0.2231	12	101	101	230	55	moderate	0.4491	3.5	0	45.5	45.5	9.1	3,098	1,194	competitive	0.0175	1.27	2	90	8	7,050	5,158	competitive	0.016	0.32	1	84	15	0.2338	0.5622	-0.2338	0.433	100	101	118	86	14	0.6183	0.7319	0.959	0.8013	0.8644	73.1	4.17	624	78.5	0.54	-3.9	0.32	544	9.8	0.2113	competitive	0.0184	2.49	2	87	11	0.7546	0.1	8.03	0.2739	0.8326	-0.2739	0.1626	100	101	39,874	34,894	3,052	0.6031	0.6467	0.9698	0.7286	0.823	85	4.78	1,884	95.2	0.8424	-15.8	-0.29	-716	-6.9	-0.0911	competitive	0.0062	0.0002	1	0.02	0.7262	0.2094	0.3682	-0.2094	0.627	828,388	62.9	3.88	394	76.6	0.4737	6.3	0.61	774	0.2776	0.6051	0.6221	0.9665	0.7203	0.8003	324,363	0.7187	11.7	306,364	27,491	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	5.4	0.24	843	0.2263	0.617	0.7021	0.9574	0.7745	0.8553	88	67.81	20.37	0.766	236	10.99	910	2,270	0.6859	6,858.63	0.03	395,382	93	0.0048	47.65	2,016.53	833.33	3.05	99.01	2.55	99.01	3.37	99.01	0.38	99.01	-3.6	0	26	0.1	-61.5	null	null	null	null	null	0.22	-176,839	0.238	0.4	459,192	0.371	-0.02	19,938	-0.026	0.41	394,311	0.468	0	2,074	-0.002	0.3	478,387	0.351	0.47	-569,624	0.315	0.75	118	0.618	0.07	-155,847	-0.038	0.73	39,874	0.603	0.7513	null	null	1,168	0.1	3	0.727	0.534	decelerating	0.1	0.7	3	3	21	89	0.557	0.57	0.571	0.727	0.534	331,227	345,950	344,596	5	1,601	decelerating	-0.07	null	88.18
2C4Y7ZD5	Elios Family Restaurant	Food and Drink	Restaurants	Diner	Diner, Family restaurant	260 Floresta Blvd, San Leandro, CA 94578	260 Floresta Blvd	San Leandro	California	Floresta Gardens - Bradrick	Floresta Gardens	94,578	US	true	37.701495	-122.142361	America/Los_Angeles	(510) 35-***	2	null	true	San Leandro	California	US	http	http://eliosdining.com	eliosdining.com	eliosdining.com	com	6,824	2007-07-25	2026-07-25	Wild West Domains, LLC	null	null	0	0	Family-owned eatery features generous plates of comfort fare with Greek flair in a spacious venue.	4.33	1,042	{"1": 72, "2": 58, "3": 182, "4": 572, "5": 1359}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great wine list, (...TRUNCATED)	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Late-night food, Quic(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/eliosdining	eliosdining	https://www.facebook.com/eliosdining	eliosdining	null	null	https://www.tiktok.com/@elios.place	elios.place	https://www.linkedin.com/company/elios-family-restaurant	elios-family-restaurant	https://www.youtube.com/channel/uc-ylewtltdztvhfsjwppmtq	uc-ylewtltdztvhfsjwppmtq	null	null	null	null	null	null	1,179	1.12	null	null	1.06	1.12	160	null	null	null	null	53	13	450	2.08	null	null	null	null	https://eliosdining.com	null	null	2026-03-21T12:40:09.500114+00:00	1.3	0.87	0.2	7,015.98	159.1	44.4934	0.1	86.6	100	84.5	0.7092	null	0.8448	0.6674	0.6476	0.7931	0.2781	0.1916	92.2	82.4	null	null	null	92.86	7.14	0	81.82	15.15	3.03	81.69	15.49	2.82	stable	improving	null	9.8	0.1972	11.9	0	14	33	71	82.1	40.5	80	100	90.9	88	19	206	26	6,901	77,775	8,860	79,245	708,209	105,628	86,066	19	259,803	17	536,859	390,555	101	406,416	487,476	101	470,601	75	276	512	87,651	163,016	724,238	1,424,284	724,238	0.2979	0.2958	0.4539	-0.2958	0.4183	0.5762	0.0469	0.6164	-0.0469	0.2558	0.4107	0.2438	0.4964	-0.2438	0.3758	100	16	100	259,803	143,867	536,859	0.6406	0.7962	0.2703	0.7677	0.7931	66.8	4.3	307	82.4	0.581	12.6	0.03	730	2.1	0.1274	390,555	526,974	406,416	0.4731	0.2827	0.4556	0.239	0.2781	72.9	4.12	653	77	0.5122	6.5	0.21	384	7.5	0.1962	487,476	604,499	470,601	0.3388	Average	0.1768	0.3646	0.1441	0.1916	Average	74	4.11	735	76.7	Below Average	0.5198	5.4	0.22	302	7.8	0.1886	17	101	101	330	86	competitive	0.1743	5.09	0	18.8	81.3	0	2,863	1,032	competitive	0.0156	1.27	2	89	9	6,841	5,006	competitive	0.0139	0.32	1	86	13	0.2338	0.5635	-0.2338	0.3087	100	101	20	128	21	0.9401	0.5836	0.9369	0.6625	0.7981	73	4.17	626	78.5	0.5404	6.4	0.16	411	6	0.168	competitive	0.0163	2.49	2	87	11	0.8322	0.1	8.02	0.2539	0.8347	-0.2539	0.0375	100	101	8,613	51,473	8,421	0.9125	0.4803	0.9165	0.5858	0.7456	85	4.78	1,892	95.2	0.8451	-5.6	-0.45	-855	-10.7	-0.1367	competitive	0.0054	0.0002	1	0.02	0.784	0.2094	0.3682	-0.2094	0.504	828,388	62.9	3.88	394	76.6	0.4737	16.5	0.45	643	0.2347	0.9083	0.4828	0.8851	0.5983	0.7359	73,948	0.7737	7.9	419,892	94,507	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	15.6	0.08	712	0.1834	0.9574	0.5277	0.9404	0.6085	0.7745	11	67.81	19.81	0.7404	236	10.99	910	2,270	0.6873	6,873.02	0.03	395,382	93	0.0048	47.86	303.86	588.24	2.44	99.01	1.94	99.01	2.66	99.01	0.3	99.01	-6.2	-0.01	11	-0.1	-49	null	null	null	null	null	0.02	-51,917	0.071	0.58	259,802	0.641	-0.01	13,201	-0.017	0.41	390,554	0.473	-0.01	11,139	-0.014	0.3	487,475	0.339	0.55	-572,087	0.64	0.83	20	0.94	0.13	-187,108	0.271	0.78	8,613	0.913	0.7084	null	null	1,037	0.23	7	1	0.712	decelerating	0.23	1.63	7	7	31	81	0.816	0.822	0.822	1	0.712	142,983	148,636	148,433	1	65	decelerating	-0.1	null	87.62
BB9K7HG6	Pho An Hoa Noodle House	Food and Drink	Restaurants	Vietnamese restaurant	Vietnamese restaurant, Pho restaurant, Restaurant	14391 Washington Ave, San Leandro, CA 94578	14391 Washington Ave	San Leandro	California	Floresta Gardens - Bradrick	Floresta Gardens	94,578	US	true	37.702504	-122.142065	America/Los_Angeles	(510) 35-***	2	null	true	San Leandro	California	US	https	https://bowlofpho.wixsite.com/phoanhoa	bowlofpho.wixsite.com/phoanhoa	bowlofpho.wixsite.com	com	5,075	2012-05-08	2026-05-08	GoDaddy.com, LLC	null	null	0	0	Simple, roomy locale lures locals with Vietnamese standards such as pho & curry plus iced coffee.	4.29	813	{"1": 54, "2": 20, "3": 81, "4": 213, "5": 547}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Great coffee, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Beer, Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Vegetarian op(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy	College students, Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	2	null	null	https://www.facebook.com/pages/bowl-of-pho/138610732907776	pages	null	null	null	null	https://www.linkedin.com/in/kevinvuong97	kevinvuong97	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://phoanhoa.com	null	null	2026-03-21T07:21:08.639500+00:00	0	0.25	2.3	6,898.07	398.9	44.4934	0.1	85.8	97	82.9	0.6403	null	0.4375	0.6823	0.5873	0.7712	0.2928	0.1939	71.9	79.4	null	null	null	75	25	0	85.71	11.43	2.86	81.67	16.67	1.67	stable	declining	null	-7.5	-0.1498	-9.4	0	8	35	60	70	32.8	16	83	76.6	88	31	230	44	12,306	83,908	16,585	136,464	754,303	191,020	147,233	31	249,124	21	525,754	382,642	101	404,549	484,631	101	469,320	86	276	512	87,651	163,016	724,238	1,424,284	724,238	0.3	0.3033	0.4507	-0.3033	-0.0132	0.5864	0.0875	0.6004	-0.0875	-0.1629	0.4196	0.2513	0.5066	-0.2513	-0.0691	100	20	100	249,124	143,867	525,754	0.655	0.7962	0.2853	0.753	0.7712	67	4.3	315	82.1	0.572	0.4	0	494	1.1	0.0674	382,642	516,378	404,549	0.4835	0.2958	0.4582	0.2567	0.2928	73.1	4.13	655	77.3	0.5168	-5.7	0.17	154	5.9	0.1226	484,631	604,499	469,320	0.3426	Average	0.1768	0.3662	0.1474	0.1939	Average	74.1	4.11	737	76.8	Below Average	0.521	-6.7	0.19	72	6.4	0.1184	21	101	101	488	27	competitive	0.1139	6.37	0	20	80	0	2,856	1,001	competitive	0.0122	1.27	1	90	9	6,878	5,038	competitive	0.0109	0.32	1	86	13	0.2338	0.5678	-0.2338	-0.1303	100	101	148	141	33	0.5363	0.5521	0.8991	0.6215	0.7003	73.1	4.17	628	78.6	0.5411	-5.7	0.13	181	4.6	0.0983	competitive	0.0127	2.49	2	87	11	0.6498	0.1	8.03	0.2739	0.8328	-0.2739	-0.3953	100	101	46,250	54,619	14,119	0.5406	0.4523	0.8606	0.5389	0.6244	85	4.78	1,881	95.2	0.8458	-17.6	-0.48	-1,072	-12	-0.2064	competitive	0.0043	0.0002	1	0.02	0.6101	0.2094	0.3682	-0.2094	0.0693	828,388	62.9	3.88	394	76.6	0.4737	4.5	0.42	415	0.1657	0.546	0.4594	0.8098	0.5582	0.6341	373,402	0.5992	6.6	441,283	157,251	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	3.6	0.05	484	0.1144	0.5149	0.4894	0.9064	0.566	0.6681	115	67.81	19.58	0.7149	236	10.99	910	2,270	0.6898	6,898.07	0.03	395,382	93	0.0048	47.58	129.65	476.19	1.49	99.01	1.18	99.01	1.62	99.01	0.18	99.01	-4.9	0	0	0	-48.5	null	null	null	null	null	0.01	-33,723	0.046	0.59	249,123	0.655	-0.01	5,288	-0.007	0.42	382,641	0.484	-0.01	10,629	-0.013	0.3	484,630	0.343	0.36	-569,594	0.233	0.65	148	0.536	-0.04	-149,471	-0.101	0.61	46,250	0.541	0.6394	null	null	809	0.07	2	0.2	0.387	decelerating	0.07	0.47	2	2	24	65	0.439	0.452	0.454	0.2	0.387	417,455	437,538	435,431	7	650	decelerating	-0.2	null	87.39
LMLUVFWV	Pelton Cafe	Food and Drink	Restaurants	Breakfast restaurant	Breakfast restaurant	194 Pelton Center Way, San Leandro, CA 94577	194 Pelton Center Way	San Leandro	California	Old San Leandro	Downtown	94,577	US	true	37.722799	-122.154825	America/Los_Angeles	(510) 48-***	2	null	true	San Leandro	California	US	https	https://peltoncafe.wixsite.com/peltoncafe	peltoncafe.wixsite.com/peltoncafe	peltoncafe.wixsite.com	com	5,075	2012-05-08	2026-05-08	GoDaddy.com, LLC	null	null	0	0	null	4.41	598	{"1": 28, "2": 13, "3": 36, "4": 131, "5": 394}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Coffee, Comfort food, Quick bite, Wine	Breakfast, Brunch, Lunch, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy	Family-friendly, Groups	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	1	null	null	https://www.facebook.com/thepeltoncafe	thepeltoncafe	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://peltoncafe.wixsite.com/peltoncafe/menus	null	null	2026-03-20T21:46:13.595842+00:00	0	0.25	2.3	6,921.26	796.1	44.4934	0.1	88.2	92.6	87	0.7113	0.625	0.75	0.7589	0.7246	0.5092	0.2869	0.3787	87.5	86.2	100	0	0	100	0	0	95.83	4.17	0	91.23	7.02	1.75	declining	stable	-0.125	1.3	0.0254	1.5	4	8	24	57	70	32.8	8	67	88.8	86	50	176	78	19,525	66,206	26,935	197,740	622,031	285,762	212,114	50	416,468	73	487,486	401,788	101	441,349	386,644	101	397,052	63	276	512	87,651	163,016	724,238	1,424,284	724,238	0.4472	0.2754	0.5344	0.4746	0.3198	0.3798	0.1476	0.3909	0.6024	0.4633	0.399	0.2788	0.5546	0.4712	0.2996	100	72	100	416,468	465,413	487,486	0.428	0.3583	0.3371	0.4696	0.5092	64	3.88	342	76.9	0.4872	7.2	0.53	256	10.1	0.2244	401,788	505,426	441,349	0.4581	0.3099	0.409	0.2687	0.2869	72.6	4.14	613	77.5	0.515	-1.4	0.27	-15	9.5	0.1966	386,644	434,185	397,052	0.4719	Below Average	0.3978	0.4636	0.4284	0.3787	Below Average	76.5	4.29	840	82.4	Average	0.5935	-5.3	0.12	-242	4.6	0.1181	73	101	101	374	26	competitive	0.0237	22.92	6.9	22.2	66.7	4.2	3,043	1,088	competitive	0.0097	1.27	3	87	10	8,318	5,048	competitive	0.0071	0.32	0	76	24	0.2263	0.5636	0.5237	0.2906	100	101	90	107	55	0.7129	0.653	0.8297	0.7476	0.8044	73	4.17	630	78.5	0.5404	-1.8	0.24	-32	8.5	0.1712	competitive	0.0094	2.49	2	87	11	0.73	0.1	8.02	0.2539	0.8297	0.4961	0.0245	100	101	33,062	43,164	22,638	0.671	0.5642	0.7765	0.6796	0.7504	85	4.78	1,893	95.2	0.8458	-13.8	-0.37	-1,295	-8.2	-0.1342	competitive	0.0031	0.0002	1	0.02	0.6706	0.2094	0.3682	0.5406	0.486	828,388	62.9	3.88	394	76.6	0.4737	8.3	0.53	204	0.2379	0.6697	0.5525	0.7276	0.6775	0.7407	271,049	0.6519	10.4	363,712	225,279	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	7.4	0.16	273	0.1866	0.7064	0.6043	0.8596	0.7149	0.783	67	67.81	23.87	0.9021	236	10.99	910	2,270	0.6921	6,921.26	0.03	395,382	93	0.0048	47.88	5.61	136.99	0.93	99.01	0.5	99.01	0.88	99.01	0.1	99.01	0.4	0.01	9	0.2	-39.9	null	null	null	null	null	-0.01	-12,468	0.017	0.38	416,467	0.428	0.01	-19,759	0.026	0.4	401,787	0.458	-0.02	13,594	-0.018	0.45	386,639	0.472	0.44	-569,652	0.409	0.73	90	0.713	0.02	-162,659	0.03	0.67	33,062	0.671	0.7116	100	0	592	0.07	2	0.667	0.218	decelerating	0.07	0.47	2	2	14	62	0.439	0.452	0.454	0.667	0.218	417,455	437,538	435,431	2	725	decelerating	-0.03	null	91.68
A84WK788	Tsuru Sushi Japanese Restaurant	Food and Drink	Restaurants	Japanese restaurant	Japanese restaurant, Sushi restaurant	1427 E 14th St, San Leandro, CA 94577	1427 E 14th St	San Leandro	California	Old San Leandro	Downtown	94,577	US	true	37.724009	-122.154702	America/Los_Angeles	(510) 35-***	2	null	true	San Leandro	California	US	http	http://tsurusushi.com	tsurusushi.com	tsurusushi.com	com	7,679	2005-03-22	2030-03-22	GoDaddy.com, LLC	null	null	0	0	Familiar Japanese dishes & daily specials at a tiny eatery with a sushi bar & homey decorations.	4.32	394	{"1": 25, "2": 11, "3": 23, "4": 77, "5": 258}	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, Comfort food, Healthy options, Quick bite, Small plates, Wine	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/tsuru.sushi	tsuru.sushi	https://www.facebook.com/tsurusushihartsdale	tsurusushihartsdale	https://twitter.com/tsurusushi	tsurusushi	null	null	https://www.linkedin.com/company/tsuru-sushi	tsuru-sushi	null	null	null	null	null	null	null	null	229	10.01	null	null	null	1.31	71	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-03-20T20:30:14.889113+00:00	0.25	0.12	0.5	7,638.74	199	44.4934	0.1	86.4	86.6	84.3	0.6848	null	1	0.8459	0.7257	0.4902	0.2583	0.4165	100	86.3	null	null	null	100	0	0	92.31	7.69	0	86.84	10.53	2.63	stable	improving	null	13.7	0.2743	15.9	0	4	13	38	78.1	27.4	84	83	96.2	86	87	216	131	29,163	80,101	41,503	274,690	726,398	415,194	295,026	87	411,026	68	472,676	405,485	101	430,508	370,173	101	406,777	80	276	512	87,651	163,016	724,238	1,424,284	724,238	0.462	0.2646	0.5403	-0.2646	0.4597	0.3728	0.1698	0.3878	-0.1698	0.6122	0.3932	0.2813	0.5395	-0.2813	0.4605	100	67	100	411,026	505,090	472,676	0.4354	0.3049	0.3572	0.4235	0.4902	64.1	3.83	352	76.1	0.4818	14.7	0.49	42	8.2	0.2016	405,485	526,974	430,508	0.4533	0.2827	0.4236	0.233	0.2583	72.5	4.12	626	76.9	0.5057	6.3	0.2	-232	7.4	0.1777	370,173	408,207	406,777	0.4935	Below Average	0.4314	0.4505	0.4673	0.4165	Below Average	76.8	4.31	827	83	Average	0.6055	2	0.01	-433	1.3	0.0779	68	101	101	321	24	competitive	0.0164	21.33	7.5	20.9	67.2	4.5	3,049	1,023	competitive	0.0063	1.27	3	87	10	8,358	5,038	competitive	0.0047	0.32	0	75	25	0.2338	0.5622	-0.2338	0.4378	100	101	25	134	99	0.9243	0.5804	0.6909	0.6562	0.7729	73	4.17	632	78.5	0.5407	5.8	0.15	-238	5.8	0.1427	competitive	0.0062	2.49	2	87	11	0.7511	0.1	8.02	0.2639	0.8314	-0.2639	0.1686	100	101	9,811	51,473	34,335	0.9007	0.4803	0.6608	0.5825	0.7048	84.9	4.77	1,901	95.1	0.8432	-6.1	-0.45	-1,507	-10.8	-0.1598	competitive	0.0021	0.0002	1	0.02	0.7026	0.2094	0.3682	-0.2094	0.6318	828,388	62.9	3.88	394	76.6	0.4737	15.9	0.44	0	0.2097	0.8935	0.4751	0.6207	0.5924	0.6984	86,033	0.6862	7.7	428,445	313,665	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	15	0.07	69	0.1584	0.9362	0.5234	0.7191	0.6043	0.7447	15	67.81	19.34	0.7021	236	10.99	910	2,270	0.6944	6,943.68	0.03	395,382	93	0.0048	48.07	2.7	147.06	0.39	99.01	0.23	99.01	0.38	99.01	0.04	99.01	2.9	-0.04	5	-1	-34.9	null	null	null	null	null	-0.01	-9,059	0.013	0.37	411,025	0.435	0	-13,505	0.018	0.39	405,484	0.453	-0.01	-2,877	0.003	0.46	370,171	0.494	0.46	-569,717	0.621	0.75	25	0.924	0.05	-185,910	0.26	0.7	9,811	0.901	0.6834	null	null	392	0.03	1	0.2	0.2	decelerating	0.03	0.23	1	1	8	40	0.281	0.292	0.294	0.2	0.2	528,654	556,970	554,104	3	1,179	decelerating	-0.07	null	87.15
BWVG7N7P	MINAMI SUSHI	Food and Drink	Restaurants	Sushi restaurant	Sushi restaurant, Asian restaurant, Japanese restaurant	699 Lewelling Blvd Suite 142, San Leandro, CA 94579	699 Lewelling Blvd Suite 142	San Leandro	California	Floresta Gardens - Bradrick	Washington Manor	94,579	US	true	37.688946	-122.1386	America/Los_Angeles	(510) 48-***	2	null	true	San Leandro	California	US	https	https://minamisushi4u.com	minamisushi4u.com	minamisushi4u.com	com	576	2024-09-01	2026-09-01	PDR Ltd. d/b/a PublicDomainRegistry.com	null	null	0	0	Striking eatery with stylish, minimalist decor turning out creative rolls & Japanese cuisine.	4.5	427	{"1": 16, "2": 9, "3": 21, "4": 78, "5": 301}	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, Happy hour food, Healthy options, Quick bit(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	1	null	null	https://www.facebook.com/minamistreamwood	minamistreamwood	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://minamisushi.menu11.com/sanleandro/order	null	null	2026-03-20T20:27:53.287998+00:00	0	0.37	1.9	6,940.05	795.8	44.4934	0.1	90	87.7	89.2	0.7421	1	1	0.9715	0.81	0.4799	0.261	0.2121	100	90.5	100	0	0	100	0	0	100	0	0	92.31	5.13	2.56	stable	improving	0	9.5	0.19	10.5	2	10	20	39	74.8	45.1	8	83	96.8	86	80	138	122	27,310	52,023	38,723	260,324	512,142	390,589	279,645	80	448,712	31	496,291	401,788	101	352,533	490,358	101	500,143	42	276	512	87,651	163,016	724,238	1,424,284	724,238	0.2868	0.31	0.4725	-0.31	0.5275	0.433	0.15	0.3799	-0.15	0.6201	0.4156	0.2063	0.468	-0.2063	0.532	100	30	100	448,712	283,151	496,291	0.3846	0.6054	0.3252	0.4696	0.4799	63.4	4.1	336	76.9	0.4788	12.1	0.4	91	12.3	0.261	401,788	554,986	352,533	0.4581	0.2468	0.5278	0.2063	0.261	72.6	4.09	716	76.4	0.5066	2.9	0.41	-289	12.8	0.2332	490,358	598,682	500,143	0.3348	Average	0.1848	0.3248	0.1575	0.2121	Average	73.9	4.12	683	77.1	Below Average	0.5301	1.6	0.38	-256	12.1	0.2097	31	101	101	498	62	competitive	0.0406	9.55	0	33.3	66.7	0	3,295	1,165	competitive	0.0059	1.27	2	89	9	6,501	5,010	competitive	0.0062	0.32	1	88	11	0.2338	0.5622	-0.2338	0.4378	100	101	48	85	91	0.8517	0.735	0.7129	0.8107	0.8423	73	4.17	632	78.5	0.5401	2.5	0.33	-205	10.7	0.1997	competitive	0.0067	2.49	2	87	11	0.7751	0.1	8.02	0.2639	0.8347	-0.2639	0.1653	100	101	19,380	33,489	31,255	0.8059	0.6561	0.6913	0.7575	0.7959	85	4.78	1,887	95.3	0.8476	-9.5	-0.28	-1,460	-6.1	-0.1078	competitive	0.0023	0.0002	1	0.02	0.7266	0.2094	0.3682	-0.2094	0.6318	828,388	62.9	3.88	394	76.6	0.4737	12.6	0.62	33	0.2661	0.8012	0.6302	0.6405	0.7483	0.7827	162,198	0.7017	12.6	295,956	297,360	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	11.7	0.25	102	0.2148	0.8638	0.7064	0.7532	0.7872	0.8298	33	67.81	21.45	0.8213	236	10.99	910	2,270	0.694	6,940.05	0.03	395,382	93	0.0048	47.71	16.48	322.58	0.35	99.01	0.39	99.01	0.45	99.01	0.05	99.01	5.5	0	8	0.2	-19	null	null	null	null	null	0.06	-22,206	0.03	0.43	448,711	0.385	-0.03	43,030	-0.057	0.42	401,784	0.458	0	-4,208	0.006	0.29	490,350	0.335	0.49	-569,694	0.548	0.78	48	0.852	0.07	-176,341	0.165	0.73	19,380	0.806	0.7398	null	null	422	0.1	3	0.571	0.514	stable	0.1	0.7	3	3	10	42	0.557	0.57	0.571	0.571	0.514	331,227	345,950	344,596	4	601	stable	-0.17	null	89.26
DTEWRM37	Top Hatters Kitchen and Bar	Food and Drink	Restaurants	Restaurant	Restaurant	855 MacArthur Blvd, San Leandro, CA 94577	855 MacArthur Blvd	San Leandro	California	Broadmoor	Chabot Park	94,577	US	true	37.737274	-122.141894	America/Los_Angeles	(510) 77-***	2	null	true	San Leandro	California	US	http	http://tophatterskitchen.com	tophatterskitchen.com	tophatterskitchen.com	com	2,982	2018-01-30	2027-01-30	Tucows Domains Inc.	purchase_dataset@tophatterskitchen.com, purchase_dataset@tophatterskitchen.com	realdomain	2	2	A light-filled neighborhood venue for seasonal, family-style dishes with an international flair.	4.51	528	{"1": 12, "2": 13, "3": 35, "4": 97, "5": 365}	Outdoor seating, Curbside pickup, 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 restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Small plates, Vegan o(...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom	Casual, Cozy, Romantic, Trendy, Upscale	Groups, LGBTQ+ friendly, Transgender safespace	"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	null	true	purchase_dataset@	true	true	3	https://www.instagram.com/tophatterskitchen	tophatterskitchen	https://www.facebook.com/tophatterskitchen	tophatterskitchen	null	null	null	null	https://www.linkedin.com/in/jeff-bloam-8792b642	jeff-bloam-8792b642	null	null	null	null	null	null	null	null	4,445	4.37	null	6.85	4.47	3.61	376	null	null	null	null	null	null	null	null	null	null	null	null	https://static1.squarespace.com/static/56ccc88f07eaa0b068c911b2/t/62e01af2a747544888f8e085/1658854131273/sample+food+menu+summer+22.pdf	https://tophatterskitchen.com/reservations	https://tophatterskitchen.com/reservations	2026-03-20T00:50:41.313506+00:00	4.88	0.75	0.1	7,231.75	264.7	44.4934	0.1	90.2	90.8	88.4	0.7545	1	0.8743	0.7964	0.7653	0.6449	0.2156	0.4569	93.7	88.3	100	0	0	100	0	0	96	4	0	92.54	7.46	0	improving	improving	0.1257	5.4	0.109	6.1	1	10	25	67	83.6	49.5	76	100	92.7	86	61	134	97	22,423	50,581	31,325	221,269	500,805	324,464	237,556	61	427,172	29	617,525	427,089	101	424,144	358,345	101	416,709	41	276	512	87,651	163,016	724,238	1,424,284	724,238	0.4805	0.2771	0.5747	-0.2771	0.2923	0.3447	0.25	0.4512	-0.25	0.4158	0.3673	0.2355	0.5007	-0.2355	0.3663	100	28	100	427,172	407,293	617,525	0.4134	0.4362	0.1614	0.7286	0.6449	63.8	3.95	241	81.6	0.5276	20.5	0.56	287	6.8	0.2252	427,089	571,556	424,144	0.4248	0.2259	0.432	0.154	0.2156	71.9	4.07	633	75.3	0.4906	12.4	0.44	-105	13.1	0.2622	358,345	366,297	416,709	0.5085	Below Average	0.4867	0.437	0.5239	0.4569	Below Average	77	4.34	814	83.8	Average	0.617	7.3	0.17	-286	4.6	0.1358	29	101	101	771	213	competitive	0.0724	8.91	10.7	17.9	60.7	10.7	3,283	1,113	competitive	0.0083	1.27	3	90	7	8,539	5,055	competitive	0.0064	0.32	0	73	27	0.2338	0.5635	-0.2338	0.3035	100	101	5	82	69	0.9874	0.7382	0.7855	0.8044	0.8738	72.9	4.17	631	78.5	0.54	11.4	0.34	-103	9.9	0.2128	competitive	0.0083	2.49	2	88	10	0.8521	0.1	8.01	0.2639	0.8296	-0.2639	0.0374	100	101	1,115	32,589	25,823	0.9885	0.6699	0.745	0.7318	0.8253	85	4.78	1,889	95.2	0.8422	-0.7	-0.27	-1,361	-6.8	-0.0894	competitive	0.0028	0.0002	1	0.02	0.8199	0.2094	0.3682	-0.2094	0.4988	828,388	62.9	3.88	394	76.6	0.4737	21.4	0.63	134	0.2791	0.9864	0.6427	0.6947	0.7231	0.8024	10,689	0.7958	11.8	289,376	252,480	24.3	58.7	7.7	9.2	828,389	236	63.8	4.25	325	79.1	0.525	20.5	0.26	203	0.2278	0.9957	0.7106	0.8213	0.7787	0.8596	2	67.81	22.56	0.8553	236	10.99	910	2,270	0.6929	6,928.95	0.03	395,382	93	0.0048	47.78	52.47	344.83	0.68	99.01	0.42	99.01	0.69	99.01	0.08	99.01	1.8	0	9	-0.2	-19.9	null	null	null	null	null	0.04	-102,851	0.138	0.34	427,170	0.413	-0.01	13,319	-0.017	0.37	427,086	0.425	0	-5,899	0.007	0.48	358,342	0.509	0.57	-572,102	0.687	0.85	5	0.987	0.13	-194,606	0.347	0.82	1,115	0.989	0.7528	null	null	524	0.2	6	0.9	0.75	stable	0.2	1.4	6	6	17	76	0.774	0.782	0.782	0.9	0.75	173,580	180,528	180,244	4	2,212	stable	-0.07	null	90.37

End of preview. Expand in Data Studio

All Restaurants in San Leandro, California, US

Free sample dataset from BeamStation

This dataset provides a complete export of every restaurant operating in San Leandro,California, US. It contains 226 records, each representing a distinct establishment and includes all available columns from the source profiles—such as name, address, cuisine type, contact information, hours of operation, and any other attributes provided by the data provider. The file is refreshed on a weekly basis to keep the listing current with openings, closures, and updates. Researchers studying local food economies, urban planners assessing commercial density, developers building location‑based recommendation tools, and analysts tracking restaurant trends can use this collection to query, map, or analyze the full restaurant landscape of San Leandro. Access the dataset directly at https://beamstation.com/datasets/118471/ for download or integration into workflows that require an up‑to‑date, comprehensive snapshot of the city’s dining scene.

Dataset Details

Field	Value
Full dataset	226 records
Sample size	22 records
Location	San Leandro
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (484 total)

Column List

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/all-restaurants-in-san-leandro-california-us-118471")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 226 records and unmasked contact data is available at:

All Restaurants in San Leandro, California, US on BeamStation

License

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

Downloads last month: 29

Number of rows:

Total file size:

127 kB