Datasets:

beamstation
/

white-space-finder-in-california-us-315816

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place string	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	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 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	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_positive_pct_180d float64	sentiment_negative_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_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_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_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall 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
Z8ZLQXGT	La Pancita Feliz	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Burrito restaurant, Soup kitchen, Taco restaurant	15045 Mulberry Dr, Whittier, CA 90604	15045 Mulberry Dr	South Whittier	California	null	null	90,604	US	true	33.935925	-118.010597	America/Los_Angeles	(562) 46-***	2	null	true	true	South Whittier	false	South Whittier	California	US	http	http://lapancitafeliz.com	lapancitafeliz.com	lapancitafeliz.com	com	635	2024-07-11	2026-07-11	GoDaddy.com, LLC	null	null	0	0	0	null	true	false	4.29	197	{"1": 18, "2": 6, "3": 8, "4": 31, "5": 132}	Delivery, Takeout, Dine-in	Fast service, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2021-02-06	2026-02-19	1,887	48	26	1,887	1,887	48	48	https://www.instagram.com/pancita_feliz	pancita_feliz	https://www.facebook.com/lapancita.feliz.5	lapancita.feliz.5	https://twitter.com/paulanaya	paulanaya	https://www.tiktok.com/@lapancitafeliz	lapancitafeliz	null	null	null	null	null	null	null	null	null	null	11,226	0.31	null	0.08	0.29	0.31	1,026	66	1	27	1.16	null	null	null	null	https://places.singleplatform.com/la-pancita-feliz-mexican-food/menu	null	null	2026-04-07T15:13:45.835391+00:00	0.99	2	0	597.3	12.4	1.4731	1.55	85.8	76.6	83.2	0.6515	null	1	0.7474	0.593	0.5907	0.6597	0.6471	100	79.7	null	null	null	100	0	88.89	11.11	77.78	16.67	5.56	stable	improving	null	20.3	0.407	25.5	2	9	18	-55.6	-55.6	-100	76.1	37.4	72	67	95.3	100	5	4	5	44,123	84,580	65,510	387,202	759,150	618,200	414,632	5	680,929	5	705,160	385,537	101	331,364	424,256	101	161,990	78	6	9	88,936	166,461	734,279	1,460,619	734,279	0.493	0.0492	0.4585	-0.0492	0.5415	0.0623	0	0.25	0	0.75	0.5043	0.0175	0.3773	-0.0175	0.6227	100	4	100	680,929	714,942	705,160	0.0863	0.0367	0.0558	0.0215	0.5907	33.6	0.08	133	1.4	0.5125	28	2.76	64	52.9	0.139	385,537	396,467	331,364	0.4851	0.4719	0.5625	0.3808	0.6597	47	0.77	935	11	0.6124	14.6	2.07	-738	43.3	0.0391	424,256	527,623	161,990	0.4271	Emerging	0.2896	0.7841	0.203	0.6471	Average	48.7	0.56	1,630	7.6	Average	0.6619	12.9	2.28	-1,433	46.7	-0.0104	5	101	101	506	138	concentrated	0.2706	1.27	100	0	0	3,202	1,433	competitive	0.0021	1.27	15	77	8	8,045	5,007	competitive	0.0012	0.32	4	89	7	0.1794	0.1998	-0.1794	0.8002	5	6	2	4	5	0.8333	0.5	0.3333	0.6667	0.5	56.2	3.02	666	49.1	0.62	5.4	-0.18	-469	5.2	0.0315	concentrated	0.0558	0.36	0	60	40	0	0.5833	1.64	0.5	0.1878	0.7267	-0.1878	0.2733	100	101	4,795	15,442	76,104	0.9528	0.849	0.2601	0.9393	0.5503	55.3	1.28	3,641	13.2	0.8696	6.3	1.56	-3,444	41.1	-0.2181	competitive	0.0005	0.0002	1.28	0.01	0.7138	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	20.5	1.9	-334	0.192	0.9284	0.7685	0.4742	0.9009	0.6625	55,953	0.7442	33.9	182,313	415,471	44.5	8.8	46.7	791,802	6	65.4	4.43	352	58.1	0.7034	0.5	-0.23	-155	-0.0491	0.4	0.2	0.4	0.4	0.4	4	83.25	3.42	0.6	6	0.89	11,283	4,073	0.059	590.45	0.03	395,382	93	0.0092	92.08	732.27	2,000	0.04	99.01	0.01	99.01	31.18	1,666.67	0	99.01	-11.6	-1.45	1	-28.9	-7.7	null	null	null	null	null	-0.3	189,248	-0.241	0.06	680,929	0.086	-0.07	109,056	-0.139	0.5	385,537	0.485	-0.17	199,957	-0.261	0.49	424,256	0.427	0.1	0	0	0.58	2	0.833	0.16	-26,377	0.264	0.71	4,795	0.953	0.6515	null	null	197	0.03	1	0	0.549	stable	0.03	0.23	1	1	3	19	0.507	0.515	0.517	0	0.549	253,363	266,224	265,236	1	1,774	stable	0	null	84.18
2XHWYGKE	Subway	Food and Drink	Restaurants	Sandwich shop	Sandwich shop, Caterer, Fast food restaurant, Takeout Restaurant, Restaurant	1455 Foxworthy Ave A, San Jose, CA 95118	1455 Foxworthy Ave A	San Jose	California	Willow Glen	Willow Glen	95,118	US	true	37.274878	-121.893381	America/Los_Angeles	(669) 27-***	2	OPERATIONAL	true	true	null	true	San Jose	California	US	https	https://restaurants.subway.com/united-states/ca/san-jose/1455-foxworthy-ave	restaurants.subway.com/united-states/ca/san-jose/1455-foxworthy-ave	restaurants.subway.com	com	11,035	1996-01-17	2027-01-18	CSC Corporate Domains, Inc.	purchase_dataset@live.com	null	1	1	0	Casual counter-serve chain for build-your-own sandwiches & salads, with health-conscious options.	true	true	4.39	146	{"1": 13, "2": 5, "3": 4, "4": 18, "5": 84}	Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible seating	Healthy options, Quick bite, Vegetarian options	Breakfast, Lunch, Dinner, Catering, Counter service	null	Casual	Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	5	2025-11-06	2026-02-25	153	42	36	153	153	42	42	https://www.instagram.com/subway	subway	https://www.facebook.com/subway	subway	https://twitter.com/subway	subway	null	null	https://www.linkedin.com/company/subway	subway	https://www.youtube.com/user/subway	subway	null	null	null	null	null	null	1,440,864	0.03	null	0.02	0.03	0.03	1,661	null	null	null	null	null	null	null	null	https://subway.com/en-us/restaurant/30213-0/menu/?segment_code=0	null	null	2026-04-07T14:08:59.892412+00:00	142.21	13.75	0	1,105.59	15.9	46.7376	1.09	87.8	72.2	85.6	0.6826	null	0.9699	0.9699	0.947	0.8859	0.705	0.589	98.5	97.4	null	null	null	100	0	100	0	98.84	1.16	0	stable	stable	null	1.1	0.0229	1.1	85	85	86	100	295.3	-100	73.9	9.5	56	100	95.2	100	1,276	1,887	2,107	49,618	69,986	75,531	427,340	650,408	700,610	457,804	1,276	450,697	6	371,550	353,575	101	260,844	192,266	101	192,740	63	2,748	5,400	88,936	166,461	734,279	1,460,619	734,279	0.702	0.0892	0.4364	-0.0892	0.5335	0.3232	0	0.8677	0	0.1022	0.47	0.1497	0.3638	-0.1497	0.6061	100	5	100	450,697	701,291	371,550	0.3899	0.0559	0.5015	0.0368	0.8859	40.1	0.11	507	2.2	0.6358	24.9	3.42	-380	77.3	0.0468	353,575	593,185	260,844	0.5268	0.2087	0.6556	0.1418	0.705	47.6	0.43	1,072	6.4	0.6264	17.4	3.1	-945	73.1	0.0562	192,266	289,217	192,740	0.7394	Below Average	0.611	0.7431	0.517	0.589	Average	52.4	1.08	1,533	14.7	Strong	0.6458	12.6	2.45	-1,406	64.8	0.0368	6	101	101	177	51	concentrated	0.0477	1.59	60	40	0	3,638	1,235	competitive	0.0012	1.27	4	92	4	7,686	5,098	competitive	0.0008	0.32	1	74	25	0.0989	0.4372	-0.0989	0.5327	100	101	53	393	2,402	0.9835	0.875	0.2358	0.9914	0.7292	52	0.95	1,660	12.9	0.6546	13	2.58	-1,533	66.6	0.028	competitive	0.0008	0.21	2	75	23	0	0.7266	1.47	0.51	0.1878	0.7282	-0.1878	0.2417	100	101	2,668	10,585	89,836	0.9735	0.8969	0.1263	0.9924	0.599	55.3	1.29	3,728	13.2	0.8695	9.7	2.24	-3,601	66.3	-0.1869	competitive	0.0003	0.0002	1.28	0.01	0.6964	0.059	0.2307	-0.059	0.7392	791,801	41.1	0.94	531	20.4	0.4595	23.9	2.59	-404	0.2231	0.9573	0.8417	0.3965	0.9853	0.708	33,243	0.7544	59.1	124,721	476,899	44.5	8.8	46.7	791,802	228	49.3	3.8	297	15.5	0.4163	24.2	0.8	-151	0.2676	0.9912	0.6035	0.511	0.978	0.7885	3	61.2	26.47	0.7621	228	0.99	10,132	2,161	0.1638	1,638.03	0.03	395,382	93	0.0094	94.29	22.76	1,666.67	0.01	99.01	0.01	99.01	0.01	99.01	0	99.01	-17.6	-0.86	-19	-6.1	-72.4	null	null	null	null	null	-0.45	353,797	-0.476	0.32	450,697	0.39	-0.21	145,610	-0.189	0.47	353,575	0.527	0.09	-53,503	0.08	0.7	192,266	0.739	0	-20	0.008	0.73	53	0.984	0.02	-2,236	0.024	0.7	2,668	0.974	0.6826	null	null	146	0	0	0	0	decelerating	0.37	2.57	11	11	87	92	0.908	0.911	0.911	0.963	0.968	75,655	78,604	78,576	4	101	decelerating	-2.5	null	87.67
DGZASASF	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	4838 San Felipe Rd, San Jose, CA 95135	4838 San Felipe Rd	San Jose	California	Evergreen	Evergreen	95,135	US	true	37.300935	-121.772352	America/Los_Angeles	(408) 52-***	1	OPERATIONAL	true	true	null	true	San Jose	California	US	https	https://mcdonalds.com/us/en-us/location/ca/san-jose/4838-san-felipe-rd/24239.html	mcdonalds.com/us/en-us/location/ca/san-jose/4838-san-felipe-rd/24239.html	mcdonalds.com	com	11,590	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dat(...TRUNCATED)	null	31	26	5	Classic, long-running fast-food chain known for its burgers & fries.	true	true	3.72	543	{"1": 75, "2": 33, "3": 84, "4": 158, "5": 222}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Has changing table(s), Kids' menu	true	true	purchase_dataset@	true	true	5	2025-09-02	2026-03-04	218	35	101	218	218	35	35	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	null	null	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,513,935	0.37	null	0.22	0.37	0.37	493	5,300,000	347	37,200,000	4.88	null	2.18	2.32	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-07T12:41:51.397719+00:00	544.21	3.75	0	1,163.73	15.9	46.7376	1.08	74.4	91.2	65.7	0.3264	null	0.2664	0.7371	0.7371	0.166	0.3124	0.3321	63.3	86.9	null	null	null	100	0	100	0	100	0	0	stable	declining	null	-23.6	-0.4707	-27.2	1	3	3	-33.3	33.3	-100	77.3	60.1	92	100	67.9	100	519	4,060	793	21,754	131,681	30,243	215,796	1,138,953	314,611	231,007	519	289,515	6	675,531	531,927	101	606,663	399,309	101	454,615	119	2,748	5,400	88,936	166,461	734,279	1,460,619	734,279	0.4294	0.018	0.3435	-0.018	-0.0771	0.5036	0.1993	0.1646	-0.1993	0.1018	0.3137	0.0658	0.3347	-0.0658	-0.0683	100	5	100	289,515	164,983	675,531	0.606	0.7754	0.0952	0.7837	0.166	43.1	1.33	192	25.6	0.3729	5.4	-1.28	378	-24.7	-0.0465	531,927	409,502	606,663	0.2936	0.4546	0.1997	0.4588	0.3124	44	0.74	490	13.1	0.5095	4.5	-0.69	80	-12.2	-0.1831	399,309	428,654	454,615	0.4601	Average	0.4233	0.3945	0.4108	0.3321	Below Average	49.1	0.73	941	11.8	Average	0.5615	-0.6	-0.68	-371	-10.9	-0.2351	6	101	101	112	65	concentrated	0.3725	1.59	40	40	20	3,370	1,367	competitive	0.0115	1.27	38	55	7	8,132	5,013	competitive	0.006	0.32	6	83	11	0.0989	0.4372	-0.0989	-0.1708	100	101	564	2,487	1,027	0.8177	0.1155	0.6726	0.3353	0.2975	52	0.95	1,660	12.9	0.6546	-3.5	-0.9	-1,090	-12	-0.3282	competitive	0.0034	0.21	2	75	23	0	0.5635	1.47	0.51	0.1925	0.7265	-0.1925	-0.4601	100	101	19,450	57,465	60,845	0.8096	0.434	0.4089	0.4475	0.2227	55.6	1.31	3,635	13.7	0.8677	-7.1	-1.26	-3,065	-12.8	-0.5413	competitive	0.0016	0.0002	1.28	0.01	0.5767	0.059	0.2307	-0.059	0.0357	791,801	41.1	0.94	531	20.4	0.4595	7.4	-0.89	39	-0.1331	0.7198	0.1805	0.7143	0.2061	0.3167	219,701	0.5564	-19.5	627,913	225,894	44.5	8.8	46.7	791,802	228	49.3	3.8	297	15.5	0.4163	21.9	1.2	246	-0.0896	0.9736	0.6916	0.7753	0.2996	0.4097	7	61.2	17.38	0.5374	228	0.99	10,132	2,161	0.1638	1,638.03	0.03	395,382	93	0.0092	91.94	1,387.93	1,666.67	1.32	99.01	0.36	99.01	0.12	99.01	0.02	99.01	-24.5	-3.66	29	-64.7	27.3	null	null	null	null	null	0.17	-220,106	0.303	0.5	289,515	0.606	0.07	-5,051	0.015	0.31	531,927	0.294	0.08	-52,563	0.075	0.43	399,309	0.46	-0.03	-158	0.052	0.56	564	0.818	0.04	-12,631	0.129	0.58	19,450	0.81	0.3264	null	null	543	0.1	3	0.922	0.896	accelerating	0.1	0.7	3	3	5	30	0.834	0.839	0.839	0.922	0.896	104,497	109,172	109,042	6	352	accelerating	0	null	78.44
BASPGSXB	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	715 Capitol Expressway Auto Mall, San Jose, CA 95136	715 Capitol Expressway Auto Mall	San Jose	California	South San Jose	Willow Glen	95,136	US	true	37.275154	-121.865281	America/Los_Angeles	(408) 26-***	1	OPERATIONAL	true	true	null	true	San Jose	California	US	https	https://mcdonalds.com/us/en-us/location/ca/san-jose/715-w-capital-auto-mall-expy/26023.html	mcdonalds.com/us/en-us/location/ca/san-jose/715-w-capital-auto-mall-expy/26023.html	mcdonalds.com	com	11,589	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dat(...TRUNCATED)	null	26	21	5	Classic, long-running fast-food chain known for its burgers & fries.	true	true	3.6	980	{"1": 175, "2": 106, "3": 218, "4": 322, "5": 514}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert, Seating	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-09-02	2026-03-04	218	35	101	218	218	35	35	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	https://github.com/mcdcorp	mcdcorp	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,513,935	0.37	null	0.22	0.37	0.37	493	5,300,000	347	37,200,000	4.88	null	2.18	2.32	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-07T12:00:35.501582+00:00	544.21	3.75	0	1,163.73	13.2	46.7376	1.08	72	99.7	60.7	0.2292	null	-1	-0.6551	-0.6551	0.3646	0.5814	0.5421	0	17.2	null	null	null	0	100	20	80	20	80	0	stable	declining	null	-17.2	-0.3449	-100	3	5	5	20	140	-100	68.1	42.8	100	100	21.3	100	179	4,224	274	8,695	136,067	11,630	101,574	1,180,272	140,293	110,100	179	647,836	4	363,067	296,044	101	330,782	219,325	101	166,894	123	2,748	5,400	88,936	166,461	734,279	1,460,619	734,279	0.6879	0.0971	0.4295	-0.0971	-1.4295	0.3803	0	0.0827	0	-1.0827	0.5265	0.1205	0.4337	-0.1205	-1.4337	100	3	100	647,836	308,753	363,067	0.1297	0.5819	0.5128	0.3642	0.3646	35.1	0.88	516	11.9	0.4461	5.5	-0.8	818	-11.2	-0.2169	296,044	458,554	330,782	0.6023	0.3887	0.5633	0.3418	0.5814	48.6	0.64	936	10.1	0.5879	-8	-0.56	398	-9.4	-0.3587	219,325	311,720	166,894	0.701	Below Average	0.5807	0.7775	0.4504	0.5421	Average	51.8	1.01	1,613	12.8	Strong	0.632	-11.2	-0.93	-279	-12.1	-0.4028	4	101	101	530	65	concentrated	0.4627	0.95	66.7	33.3	0	3,322	1,010	competitive	0.014	1.27	6	88	6	7,846	5,184	competitive	0.0082	0.32	2	75	23	0.0989	0.4372	-0.0989	-1.4372	100	101	1,270	2,226	208	0.5921	0.2603	0.9341	0.3128	0.2291	52	0.95	1,660	12.9	0.6546	-11.4	-0.87	-326	-12.2	-0.4254	competitive	0.008	0.21	2	75	23	0	0.5952	1.47	0.51	0.1825	0.7229	-0.1825	-1.7229	100	101	37,415	48,646	44,549	0.6339	0.5117	0.5624	0.4636	0.1703	55.4	1.28	3,635	13.2	0.8698	-14.8	-1.2	-2,301	-12.5	-0.6406	competitive	0.0037	0.0002	1.28	0.01	0.5758	0.059	0.2307	-0.059	-1.2307	791,801	41.1	0.94	531	20.4	0.4595	-0.5	-0.86	803	-0.2303	0.4838	0.2667	0.8953	0.1793	0.2499	406,534	0.5421	-19.7	556,571	82,833	44.5	8.8	46.7	791,802	2,514	48.4	4.08	272	18.5	0.4576	11.5	-1.04	708	-0.2273	0.6972	0.0784	0.9316	0.2531	0.2411	755	60.28	10.87	0.3892	2,514	0.99	10,132	2,161	0.1638	1,638.03	0.03	395,382	93	0.0092	91.93	2,141.03	2,500	1.97	99.01	0.67	99.01	0.64	99.01	0.13	99.01	-34.3	-3.52	355	-60	-8.7	null	null	null	null	null	-0.12	237,032	-0.306	0.38	647,836	0.13	-0.06	34,770	-0.042	0.53	296,044	0.602	0.09	-54,020	0.079	0.69	219,325	0.701	-0.04	716	-0.227	0.6	1,270	0.592	-0.02	11,196	-0.104	0.58	37,415	0.634	0.2292	null	null	980	0.07	2	0.791	0.769	stable	0.07	0.47	2	2	7	52	0.732	0.739	0.74	0.791	0.769	156,567	163,872	163,540	12	678	stable	-0.03	null	70.89
WV3GCT9F	Jersey Mike's Subs	Food and Drink	Restaurants	Sandwich shop	Sandwich shop, Caterer, Deli, Fast food restaurant, Takeout Restaurant	15527 Union Ave, Los Gatos, CA 95032	15527 Union Ave	San Jose	California	Union	null	95,032	US	true	37.243073	-121.932272	America/Los_Angeles	(408) 42-***	2	OPERATIONAL	true	true	null	true	San Jose	California	US	https	https://jerseymikes.com/20152/los-gatos-ca	jerseymikes.com/20152/los-gatos-ca	jerseymikes.com	com	10,310	1998-01-12	2031-03-26	GoDaddy.com, LLC	"purchase_dataset@jerseymikes.com, purchase_dataset@jerseymikes.com, purchase_dataset@jerseymikes.co(...TRUNCATED)	realdomain	5	5	0	"New Jersey–based counter-serve sandwich chain serving jumbo subs filled with cold cuts & toppings(...TRUNCATED)	true	true	4.16	238	{"1": 21, "2": 11, "3": 14, "4": 55, "5": 137}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Healthy options, Quick bite, Vegan options, Vegetarian options	Lunch, Dinner, Catering, Dessert, Seating	Restroom, Wi-Fi	Casual, Quiet	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	6	2025-06-10	2026-03-08	302	31	99	302	302	31	31	https://www.instagram.com/jerseymikes	jerseymikes	https://www.facebook.com/jerseymikes	jerseymikes	https://twitter.com/jerseymikes	jerseymikes	https://www.tiktok.com/@jerseymikes	jerseymikes	https://www.linkedin.com/company/jerseymikes	jerseymikes	https://www.youtube.com/jerseymikestv	jerseymikestv	null	null	null	null	null	null	321,108	0.77	null	0.61	0.53	0.77	2,085	180,900	748	2,000,000	2.12	null	1.57	1.07	2.12	https://jerseymikes.com/menu	null	null	2026-04-07T10:34:00.259121+00:00	31.69	3.75	0	1,129.24	13.2	46.7376	1.09	83.2	79.3	80.7	0.5746	null	0	0.3333	0.1429	0.4574	0.795	0.5914	50	57.1	null	null	null	50	50	66.67	33.33	57.14	42.86	0	stable	declining	null	-7.1	-0.1429	-12.4	2	3	7	33.3	14.3	-100	70.9	9.5	88	100	60.3	100	1,013	2,891	1,600	40,301	100,962	58,993	358,823	881,891	563,760	384,109	1,013	173,542	4	717,732	380,205	101	548,178	314,205	101	189,428	94	2,748	5,400	88,936	166,461	734,279	1,460,619	734,279	0.5857	0.1188	0.4454	-0.1188	-0.4454	0.6059	0	0.0549	0	-0.0549	0.3618	0.1514	0.4021	-0.1514	-0.4021	100	3	100	173,542	26,543	717,732	0.7627	0.9636	0.0391	0.9953	0.4574	45.7	2.16	96	59.1	0.4737	6.1	-0.1	143	-21	0.1009	380,205	544,793	548,178	0.4919	0.2733	0.2768	0.2933	0.795	47.1	0.5	583	9.1	0.6592	4.7	1.56	-344	29	-0.0846	314,205	414,931	189,428	0.5724	Average	0.4417	0.7475	0.3531	0.5914	Below Average	50.3	0.76	1,543	10.5	Average	0.6465	1.5	1.3	-1,304	27.6	-0.0719	4	101	101	35	10	concentrated	0.4527	0.95	33.3	66.7	0	3,850	1,745	competitive	0.0041	1.27	14	79	7	7,822	5,009	competitive	0.0015	0.32	4	82	14	0.0989	0.4372	-0.0989	-0.4372	100	101	410	804	2,144	0.8686	0.7436	0.3182	0.7588	0.5686	52	0.95	1,660	12.9	0.6546	-0.2	1.11	-1,421	25.2	-0.08	competitive	0.0014	0.21	2	75	23	0	0.666	1.47	0.51	0.1778	0.7318	-0.1778	-0.7318	100	101	14,225	24,304	81,722	0.8606	0.7631	0.2054	0.8295	0.4453	55.4	1.3	3,760	13.3	0.8704	-3.6	0.76	-3,521	24.8	-0.2958	competitive	0.0006	0.0002	1.28	0.01	0.6348	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	10.7	1.12	-292	0.1151	0.7988	0.6713	0.5142	0.7063	0.5618	157,746	0.6752	17.7	259,442	383,931	44.5	8.8	46.7	791,802	2,514	48.4	4.08	272	18.5	0.4576	22.2	-0.16	-34	0.1101	0.9463	0.2177	0.6363	0.731	0.5686	132	60.28	25.74	0.6685	2,514	0.99	10,132	2,161	0.1638	1,638.03	0.03	395,382	93	0.0095	95.11	2,048.93	2,500	0.17	99.01	0.02	99.01	0.02	99.01	0	99.01	-27.3	-2.1	1	-42.6	-52.3	null	null	null	null	null	0.56	-511,256	0.693	0.61	173,542	0.763	-0.22	143,005	-0.185	0.36	380,205	0.492	-0.03	47,924	-0.059	0.59	314,205	0.572	-0.01	168	-0.053	0.67	410	0.869	0.03	595	-0.002	0.63	14,225	0.861	0.5746	null	null	238	0	0	0	0	decelerating	0.1	0.7	3	3	6	22	0.557	0.57	0.571	0.713	0.726	331,227	345,950	344,596	25	639	accelerating	-0.03	null	84.32
TNMBWCE7	Rise N Shine Cafe	Food and Drink	Restaurants	Breakfast restaurant	Breakfast restaurant, Brunch restaurant	9685 Sunland Blvd, Shadow Hills, CA 91040	9685 Sunland Blvd	Los Angeles	California	Shadow Hills	Shadow Hills	91,040	US	true	34.24728	-118.357037	America/Los_Angeles	(818) 35-***	2	null	true	true	null	true	Los Angeles	California	US	http	http://risenshinecafesunland.wordpress.com	risenshinecafesunland.wordpress.com	risenshinecafesunland.wordpress.com	com	9,529	2000-03-03	2033-03-03	MarkMonitor, Inc.	purchase_dataset@yahoo.com	null	1	1	0	null	true	false	4.7	457	{"1": 10, "2": 4, "3": 12, "4": 62, "5": 365}	Onsite services, Takeout, Dine-in	Great coffee, Serves local specialty	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Quick bite	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Restroom, Wi-Fi	Casual, Cozy	Family-friendly, Groups, Tourists	null	Cash-only, Checks	Good for kids, High chairs, Kids' menu	true	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	null	null	null	null	null	null	null	null	2026-04-07T06:17:23.485720+00:00	0	0	5.4	546.6	12.9	33.6554	5.65	94	88.7	94.3	0.8743	null	0.9852	0.9394	0.9394	0.9696	0.5006	0.5252	99.3	97	null	null	null	100	0	100	0	100	0	0	stable	stable	null	2.3	0.0458	2.4	5	10	10	0	100	-100	69.7	9.5	0	67	98.5	100	2,817	5,437	4,175	25,732	27,823	36,200	247,568	298,908	367,687	265,472	2,817	732,695	4	727,035	606,289	101	665,478	405,767	101	267,166	6	13,437	26,345	88,936	166,461	734,279	1,460,619	734,279	0.4502	0.0556	0.403	-0.0556	0.5822	0.0511	0.2723	0.0235	-0.2723	0.9617	0.178	0	0.3205	0	0.6647	100	3	100	732,695	653,793	727,035	0.0189	0.1183	0.0268	0.0644	0.9696	28.7	0.22	62	4.1	0.7288	4.6	-0.09	389	-1.4	0.1455	606,289	593,185	665,478	0.1967	0.2087	0.1224	0.2385	0.5006	42	0.43	387	8.1	0.5636	-8.7	-0.3	64	-5.4	0.3107	405,767	553,557	267,166	0.4518	Emerging	0.2542	0.6439	0.2701	0.5252	Emerging	49	0.52	1,346	8.8	Average	0.627	-15.7	-0.39	-895	-6.1	0.2473	4	101	101	70	67	concentrated	0.708	0.95	100	0	0	3,871	1,257	competitive	0.0115	1.27	39	56	5	8,169	5,302	competitive	0.0033	0.32	5	82	13	0.1	0.6173	-0.1	0.3679	100	101	8,115	5,526	10,964	0.4696	0.6322	0.2868	0.657	0.8994	51.9	0.75	2,131	11	0.7818	-18.6	-0.62	-1,680	-8.3	0.0925	competitive	0.0021	0.08	2	83	14	1	0.4635	5.66	0.13	0.1878	0.7267	-0.1878	0.2585	100	101	58,715	42,179	64,336	0.4268	0.5805	0.3749	0.6043	0.8988	55.3	1.28	3,641	13.2	0.8696	-22	-1.15	-3,190	-10.5	0.0047	competitive	0.0012	0.0002	1.28	0.01	0.4574	0.059	0.2307	-0.059	0.7545	791,801	41.1	0.94	531	20.4	0.4595	-7.8	-0.81	-80	0.4148	0.2981	0.3979	0.6594	0.4529	0.9452	554,005	0.4364	-17.7	461,663	269,297	44.5	8.8	46.7	791,802	12,269	47.6	4.19	266	14.2	0.4873	10.1	0.64	191	0.3807	0.6349	0.5103	0.7955	0.5449	0.9118	4,456	59.31	37.39	0.9314	12,269	0.26	38,987	3,001	0.0547	546.6	0.03	395,382	93	0.0092	92.08	5,012.73	2,500	1.33	99.01	0.11	99.01	0.04	99.01	0.02	99.01	-39.8	-4.57	-5	-91.6	-39	null	null	null	null	null	-0.43	321,891	-0.417	0.05	732,694	0.019	-0.14	103,011	-0.127	0.18	606,287	0.197	-0.11	67,882	-0.085	0.45	405,752	0.452	-0.29	4,269	-0.276	0.46	8,115	0.47	-0.27	27,213	-0.259	0.46	58,715	0.427	0.8743	null	null	457	0	0	0	0	decelerating	0.1	0.7	3	3	10	38	0.557	0.57	0.571	0.377	0.319	331,227	345,950	344,596	66	606	stable	-0.07	null	96.71
SWA8E6R9	Beverly Glen Deli	Food and Drink	Restaurants	American restaurant	American restaurant	2948 Beverly Glen Cir, Los Angeles, CA 90077	2948 Beverly Glen Cir	Los Angeles	California	Beverly Crest	Beverly Glen	90,077	US	true	34.127682	-118.443807	America/Los_Angeles	(310) 47-***	2	null	true	true	null	true	Los Angeles	California	US	http	http://beverlyglendeli.com	beverlyglendeli.com	beverlyglendeli.com	com	8,105	2004-01-28	2027-01-28	Register.com - Network Solutions, LLC	purchase_dataset@outlook.com	null	1	1	0	Kid-friendly spot for deli sandwiches, salads, soups, smoked fish plates, dinner items & desserts.	true	true	4.43	307	{"1": 13, "2": 7, "3": 23, "4": 64, "5": 207}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert, Great tea selection, Serves local specialty, Sports	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Coffee, Comfort food, Healthy options, Quick bite, Wine	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Restroom	Casual, Cozy	Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2024-08-19	2025-12-02	597	127	54	597	597	127	127	https://www.instagram.com/beverlyglendeli	beverlyglendeli	https://www.facebook.com/61556285722225/about	61556285722225	null	null	https://www.tiktok.com/@beverlyglenncopeland	beverlyglenncopeland	https://www.linkedin.com/in/mark-gustafson-040441208	mark-gustafson-040441208	null	null	null	null	null	null	null	null	572	2.17	null	null	2.33	2.17	201	2,174	27	29,242	16.6	null	null	null	null	https://places.singleplatform.com/beverly-glen-deli/menu	null	null	2026-04-07T05:44:02.152251+00:00	0.06	7.69	0.2	630.01	3.2	33.6554	5.65	88.6	83	87	0.7137	null	0.9607	0.8925	0.5624	0.6927	0.7659	0.8607	98	78.1	null	null	null	100	0	100	0	76.92	15.38	7.69	stable	improving	null	19.9	0.3983	25.5	4	5	13	60	23.1	-100	80.9	27.4	84	100	95.6	100	3,899	10,584	5,855	34,815	63,447	50,141	317,105	601,048	487,949	339,514	3,899	481,447	6	707,103	359,033	101	436,292	199,837	101	160,507	52	13,437	26,345	88,936	166,461	734,279	1,460,619	734,279	0.6723	0.0956	0.5627	-0.0956	0.398	0.3001	0	0.3168	0	0.6439	0.395	0.0776	0.3496	-0.0776	0.6111	100	5	100	481,447	382,746	707,103	0.349	0.4818	0.0533	0.7254	0.6927	39.5	0.7	128	23.1	0.5456	23.9	1.87	184	25.9	0.1681	359,033	600,440	436,292	0.5198	0.1993	0.4243	0.1918	0.7659	47.5	0.42	762	7.3	0.6477	15.9	2.15	-450	41.7	0.066	199,837	383,698	160,507	0.7286	Below Average	0.4835	0.786	0.3938	0.8607	Below Average	52.2	0.83	1,635	11.4	Strong	0.7209	11.2	1.74	-1,323	37.6	-0.0072	6	101	101	186	45	concentrated	0.327	1.59	40	60	0	3,465	2,412	competitive	0.0041	1.27	7	83	10	8,059	5,057	competitive	0.0019	0.32	2	80	18	0.1	0.6096	-0.1	0.3511	100	101	343	2,505	11,377	0.9771	0.8366	0.2603	0.9145	0.6718	51.9	0.75	2,107	11	0.7797	11.5	1.82	-1,795	38	-0.066	competitive	0.0015	0.08	2	83	14	1	0.7199	5.66	0.13	0.1838	0.7287	-0.1838	0.232	100	101	3,578	18,855	73,866	0.9647	0.8158	0.282	0.884	0.6496	55.3	1.29	3,720	13.2	0.8707	8.1	1.28	-3,408	35.8	-0.157	competitive	0.0008	0.0002	1.28	0.01	0.7152	0.059	0.2307	-0.059	0.73	791,801	41.1	0.94	531	20.4	0.4595	22.3	1.63	-219	0.2542	0.9446	0.7318	0.5735	0.7704	0.7542	43,248	0.7694	28.6	211,275	337,178	44.5	8.8	46.7	791,802	12,269	47.6	4.19	266	14.2	0.4873	28.9	0.24	41	0.2315	0.9867	0.3524	0.7123	0.8271	0.7396	159	59.31	33.5	0.86	12,269	0.26	38,987	3,001	0.054	540.32	0.03	395,382	93	0.0094	94.08	1,069.58	1,666.67	0.17	99.01	0.04	99.01	0.02	99.01	0.01	99.01	-20.8	-1.86	5	-38	-36.1	null	null	null	null	null	0.09	8,834	-0.004	0.3	481,446	0.349	-0.26	189,643	-0.247	0.4	359,029	0.52	-0.19	143,352	-0.19	0.67	199,811	0.729	-0.04	36	-0.002	0.72	343	0.977	-0.03	1,085	-0.01	0.72	3,578	0.965	0.7137	null	null	307	0.03	1	0.59	0.484	decelerating	0.03	0.23	1	1	5	21	0.507	0.515	0.517	0.59	0.484	253,363	266,224	265,236	37	543	decelerating	-0.1	null	89.87
ANGV2ABU	CF Food Kitchen	Food and Drink	Restaurants	American restaurant	American restaurant	16205 Devonshire St, Granada Hills, CA 91344	16205 Devonshire St	Los Angeles	California	Granada Hills	Granada Hills	91,344	US	true	34.25777	-118.485372	America/Los_Angeles	(818) 36-***	3	OPERATIONAL	true	true	null	true	Los Angeles	California	US	http	http://cffoodkitchen.com	cffoodkitchen.com	cffoodkitchen.com	com	5,904	2010-02-06	2028-02-06	GoDaddy.com, LLC	purchase_dataset@yahoo.com, purchase_dataset@cffoodkitchen.com	realdomain	2	1	1	This warm, intimate eatery features elevated American cuisine & also offers outdoor seating.	true	true	4.81	353	{"1": 4, "2": 5, "3": 4, "4": 27, "5": 324}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Great beer selection, Great coffee, Great wine list, Live music, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Healthy options, Small plates, Vegan options, Vegetarian optio(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet, Romantic, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2023-04-28	2025-12-03	1,076	126	51	1,076	1,076	126	126	https://www.instagram.com/cffoodkitchen	cffoodkitchen	https://www.facebook.com/cffoodkitchen	cffoodkitchen	https://twitter.com/cffoodkitchen	cffoodkitchen	https://www.tiktok.com/@cfskitchen	cfskitchen	https://www.linkedin.com/in/leo-altamirano-bb2492378	leo-altamirano-bb2492378	null	null	null	null	null	null	null	null	2,733	0.08	null	null	0.08	0.08	742	8	13	98	1.25	null	null	null	null	null	null	null	2026-04-07T04:20:15.281406+00:00	0.07	0	0.2	548.17	2.6	33.6554	5.65	96.2	85	96.3	0.9087	null	0.7143	0.6963	0.7044	0.0626	0.5243	0.5374	85.7	85.2	null	null	null	85.71	14.29	83.33	16.67	85	15	0	stable	stable	null	0.5	0.0099	0.6	7	12	20	16.7	40	-100	79.9	9.5	80	100	88.8	100	3,515	4,067	5,242	31,656	19,200	45,135	293,158	206,359	445,803	313,966	3,515	660,159	6	541,676	449,058	101	362,394	300,102	101	280,110	3	13,437	26,345	88,936	166,461	734,279	1,460,619	734,279	0.5535	0.0393	0.4422	-0.0393	0.2721	0.2439	0	0.0341	0	0.6802	0.3462	0.0394	0.1812	-0.0394	0.5331	100	5	100	660,159	451,948	541,676	0.1135	0.3878	0.2737	0.8632	0.0626	34.6	0.56	344	29.8	0.2918	28.3	2.47	15	29.8	0.6169	449,058	679,482	362,394	0.4016	0.0967	0.5217	0.0682	0.5243	45.8	0.3	881	4.9	0.5705	17.1	2.73	-522	54.7	0.3382	300,102	424,177	280,110	0.5915	Below Average	0.4296	0.6266	0.3895	0.5374	Below Average	50.5	0.74	1,319	11.3	Average	0.6306	12.4	2.29	-960	48.3	0.2781	6	101	101	234	13	concentrated	0.1726	1.59	80	20	0	3,466	1,290	competitive	0.0041	1.27	18	75	7	7,231	5,034	competitive	0.0027	0.32	5	77	18	0.1095	0.6178	-0.1095	0.0965	100	101	391	2,065	11,216	0.9745	0.8654	0.2707	0.969	0.924	52.1	0.76	2,111	11.2	0.7817	10.8	2.27	-1,752	48.4	0.127	competitive	0.0017	0.08	2	82	15	1	0.7306	5.66	0.13	0.1878	0.7282	-0.1878	-0.0139	100	101	3,889	13,599	71,778	0.9617	0.8673	0.3024	0.9603	0.9301	55.3	1.29	3,728	13.2	0.8695	7.6	1.74	-3,369	46.4	0.0392	competitive	0.001	0.0002	1.28	0.01	0.7356	0.059	0.2307	-0.059	0.4836	791,801	41.1	0.94	531	20.4	0.4595	21.8	2.09	-172	0.4492	0.9404	0.7936	0.606	0.9298	0.9649	46,556	0.796	39.2	162,511	311,490	44.5	8.8	46.7	791,802	12,269	47.6	4.19	266	14.2	0.4873	28	0.65	87	0.4285	0.983	0.5152	0.7421	0.9611	0.9354	201	59.31	39.26	0.942	12,269	0.26	38,987	3,001	0.0541	541.4	0.03	395,382	93	0.0094	94.29	297.89	1,666.67	0.16	99.01	0.07	99.01	0.03	99.01	0.01	99.01	-24.1	-1.78	6	-36.7	-55	null	null	null	null	null	0.15	-64,593	0.096	0.24	660,158	0.114	-0.17	139,126	-0.178	0.35	449,057	0.402	-0.02	26,757	-0.031	0.55	300,098	0.592	-0.12	313	-0.02	0.73	391	0.975	-0.11	3,413	-0.033	0.74	3,889	0.962	0.9087	null	null	353	0	0	0	0	decelerating	0.1	0.7	3	3	13	39	0.557	0.57	0.571	0.497	0.413	331,227	345,950	344,596	71	987	decelerating	-0.1	null	96.03
6BKGGNK7	Little Caesars Pizza	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Fast food restaurant, Pizza delivery, Pizza Takeout	6915-2 Paradise Valley Rd, San Diego, CA 92139	6915-2 Paradise Valley Rd	San Diego	California	Bay Terraces	Bay Terraces	92,139	US	true	32.688736	-117.04483	America/Los_Angeles	(619) 26-***	2	OPERATIONAL	true	true	null	true	San Diego	California	US	https	https://littlecaesars.com/en-us/store/2949	littlecaesars.com/en-us/store/2949	littlecaesars.com	com	10,784	1996-09-27	2027-09-26	GoDaddy Corporate Domains, LLC	"purchase_dataset@lcecorp.com, purchase_dataset@littlecaesarsfundraising.com, purchase_dataset@littl(...TRUNCATED)	realdomain	17	2	15	"Carry-out chain featuring chicken wings, signature breadsticks & pizza tossed from housemade dough.(...TRUNCATED)	true	true	3.82	379	{"1": 52, "2": 25, "3": 44, "4": 88, "5": 174}	Delivery, Onsite services, Takeout	null	Lunch, Dinner	Wheelchair accessible entrance, Wheelchair accessible parking lot	Comfort food, Quick bite	Lunch, Dinner	null	Casual	College students, Family-friendly	null	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	7	2025-09-09	2026-02-12	211	55	74	211	211	55	55	https://www.instagram.com/littlecaesars	littlecaesars	https://www.facebook.com/littlecaesarspizzafordhamrd15520005	littlecaesarspizzafordhamrd15520005	https://twitter.com/littlecaesars	littlecaesars	https://www.tiktok.com/@littlecaesarspizza	littlecaesarspizza	https://www.linkedin.com/company/little-caesars	little-caesars	https://www.youtube.com/littlecaesarspizza	littlecaesarspizza	null	null	null	null	https://www.pinterest.com/littlecaesarsfundraising	littlecaesarsfundraising	602,542	0.33	null	0.48	0.33	0.33	1,225	965,400	587	19,000,000	2.54	null	2.27	2.16	2.54	null	null	null	2026-04-07T01:13:27.554119+00:00	69.61	0	0	1,925.91	5.4	70.2364	2.01	76.4	86	69.4	0.3685	null	0.4987	0.2891	0.2891	0.1094	0.3505	0.734	74.9	64.5	null	null	null	75	25	60	40	60	40	0	stable	improving	null	10.4	0.2096	16.1	4	5	5	60	220	-100	71.7	9.5	96	100	75.6	100	1,767	7,767	2,742	30,037	127,438	42,727	281,073	1,099,328	424,959	301,140	1,767	358,048	4	297,007	209,765	101	388,306	98,997	101	213,552	117	4,965	10,061	88,936	166,461	734,279	1,460,619	734,279	0.7989	0.0612	0.5261	-0.0612	-0.0274	0.5394	0	-0.2192	0	0.7179	0.6516	0.0338	0.3231	-0.0338	0.1756	100	3	100	358,048	360,588	297,007	0.5137	0.5115	0.6015	0.4369	0.1094	41.8	0.75	590	13.7	0.3385	11.4	1.01	-207	16.8	0.03	209,765	203,024	388,306	0.7165	0.7291	0.4873	0.6989	0.3505	50.3	1.35	839	22	0.521	2.9	0.41	-456	8.5	-0.1525	98,997	152,897	213,552	0.8655	Average	0.7937	0.7154	0.726	0.734	Strong	55.8	1.63	1,473	23.2	Strong	0.686	-2.6	0.13	-1,090	7.3	-0.3175	4	101	101	72	66	concentrated	0.1778	0.95	33.3	66.7	0	3,929	1,459	competitive	0.0045	1.27	15	68	17	8,047	5,063	competitive	0.0026	0.32	4	55	41	0.0938	0.6171	-0.0938	-0.1184	100	101	1,071	2,186	6,050	0.8749	0.7459	0.2977	0.7556	0.2816	53.3	1.1	2,605	14.9	0.7904	-0.1	0.66	-2,222	15.6	-0.4219	competitive	0.0015	0.1	3	73	23	1	0.663	2.01	0.38	0.1825	0.7288	-0.1825	-0.2301	100	101	12,478	26,763	70,536	0.8775	0.7392	0.3146	0.7983	0.2513	55.4	1.29	3,728	13.2	0.8695	-2.2	0.47	-3,345	17.3	-0.501	competitive	0.001	0.0002	1.28	0.01	0.6671	0.059	0.2307	-0.059	0.268	791,801	41.1	0.94	531	20.4	0.4595	12.1	0.82	-148	-0.091	0.8248	0.6413	0.6211	0.6652	0.3522	137,417	0.7086	10.1	283,327	299,582	44.5	8.8	46.7	791,802	7,157	48.5	4.23	327	17	0.5066	16.6	-0.66	52	-0.1286	0.7953	0.098	0.6961	0.7362	0.2956	1,457	62.02	18.4	0.4997	7,157	0.72	13,869	1,438	0.1878	1,878.2	0.03	395,382	93	0.0094	94.28	316.16	2,500	0.21	99.01	0.07	99.01	0.02	99.01	0.01	99.01	-24.5	-2.06	4	-38.9	-56	null	null	null	null	null	0.01	109,555	-0.143	0.54	358,047	0.514	0.23	-179,051	0.241	0.65	209,762	0.717	0.07	-43,055	0.068	0.8	98,980	0.866	0.09	-338	0.04	0.66	1,071	0.875	0.09	-5,266	0.056	0.67	12,478	0.878	0.3685	null	null	379	0	0	0	0	decelerating	0.03	0.23	1	1	11	21	0.281	0.292	0.294	0.209	0.211	528,654	556,970	554,104	246	2,841	decelerating	-0.2	null	77.04
DQ8JM52V	Panda Express	Food and Drink	Restaurants	Chinese restaurant	"Chinese restaurant, Asian restaurant, Caterer, Chinese noodle restaurant, Chinese takeaway, Deliver(...TRUNCATED)	4898 San Felipe Rd #140, San Jose, CA 95135	4898 San Felipe Rd #140	San Jose	California	Evergreen	Evergreen	95,135	US	true	37.300074	-121.771581	America/Los_Angeles	(408) 23-***	2	OPERATIONAL	true	true	null	true	San Jose	California	US	https	https://pandaexpress.com/locations/ca/san-jose/713	pandaexpress.com/locations/ca/san-jose/713	pandaexpress.com	com	10,541	1997-05-28	2026-05-27	Lexsynergy Limited	"purchase_dataset@pandarg.com, purchase_dataset@pandarg.com, purchase_dataset@pandaexpress.com.mx, p(...TRUNCATED)	realdomain	9	2	7	Fast-food chain for Chinese standards, including some health-conscious options.	true	true	3.47	198	{"1": 34, "2": 22, "3": 23, "4": 44, "5": 71}	Delivery, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Small plates	Lunch, Dinner, Catering, Seating	Restroom	Casual	College students, Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2022-08-02	2026-03-03	1,345	36	94	1,345	1,345	36	36	https://www.instagram.com/officialpandaexpress	officialpandaexpress	null	null	https://twitter.com/pandaexpress	pandaexpress	https://www.tiktok.com/@officialpandaexpress	officialpandaexpress	https://www.linkedin.com/company/panda-restaurant-group	panda-restaurant-group	null	null	null	null	null	null	https://www.pinterest.com/pandaexpress	pandaexpress	334,645	0.83	null	0.93	0.83	0.83	1,706	131,200	390	2,100,000	2.55	null	3.08	1.38	1.34	https://order.pandaexpress.com/location/evergreen-marketplac/menu	null	null	2026-04-07T00:12:18.518164+00:00	33.03	0	0	1,679.8	10.2	46.7376	1.47	69.4	76.6	58.1	0.2231	null	-0.9844	-0.9896	-0.9896	0.2116	0.3147	0.3142	0.8	0.5	null	null	null	0	100	0	100	0	100	0	stable	stable	null	0.3	0.0052	60	2	3	3	33.3	166.7	-100	58	9.5	80	100	22.2	100	1,127	4,370	1,812	44,069	139,475	65,418	386,810	1,217,255	617,274	414,189	1,127	141,560	6	617,654	523,386	101	610,152	405,767	101	450,146	124	2,748	5,400	88,936	166,461	734,279	1,460,619	734,279	0.4334	0.028	0.323	-0.028	-1.3074	0.6067	0.1993	0.4148	-0.1993	-1.3992	0.3237	0.0658	0.3326	-0.0658	-1.317	100	5	100	141,560	164,983	617,654	0.806	0.7754	0.1722	0.786	0.2116	46.6	1.33	267	25.7	0.3936	-15.4	-1.27	-74	-25.7	-0.1705	523,386	392,227	610,152	0.3048	0.4775	0.1951	0.4879	0.3147	44.2	0.78	484	14	0.5102	-13	-0.72	-291	-14	-0.2871	405,767	414,931	450,146	0.4518	Average	0.4417	0.4005	0.4274	0.3142	Below Average	49	0.76	951	12.2	Average	0.5549	-17.8	-0.7	-758	-12.2	-0.3318	6	101	101	41	2	concentrated	0.1261	1.59	20	60	20	3,447	1,337	competitive	0.004	1.27	38	54	8	8,015	5,090	competitive	0.002	0.32	6	83	11	0.0989	0.4372	-0.0989	-1.4216	100	101	2,108	2,418	2,234	0.3242	0.2094	0.2886	0.1753	0.2265	52	0.95	1,660	12.9	0.6546	-20.8	-0.89	-1,467	-12.9	-0.4315	competitive	0.0012	0.21	2	75	23	0	0.2791	1.47	0.51	0.1878	0.7267	-0.1878	-1.7111	100	101	64,406	51,934	76,382	0.372	0.4795	0.2575	0.3835	0.1679	55.3	1.28	3,641	13.2	0.8696	-24.1	-1.22	-3,448	-13.2	-0.6465	competitive	0.0005	0.0002	1.28	0.01	0.3699	0.059	0.2307	-0.059	-1.2151	791,801	41.1	0.94	531	20.4	0.4595	-9.9	-0.88	-338	-0.2364	0.2561	0.207	0.4703	0	0.2465	587,538	0.3056	-20.4	604,586	418,635	44.5	8.8	46.7	791,802	2,514	48.4	4.08	272	18.5	0.4576	-4.4	-2.08	-74	-0.2314	0.3434	0.0223	0.5945	0	0.2388	1,648	60.28	12.31	0.4019	2,514	0.99	10,132	2,161	0.1638	1,638.03	0.03	395,382	93	0.0092	92.08	159.12	1,666.67	0.16	99.01	0.04	99.01	0.01	99.01	0	99.01	-31.8	-3.41	-5	-58.1	-48.3	null	null	null	null	null	0.17	-269,244	0.37	0.61	141,559	0.806	0.08	-13,592	0.026	0.32	523,381	0.305	0.09	-53,609	0.076	0.43	405,748	0.452	-0.1	420	-0.132	0.28	2,108	0.324	0.06	-889	0.019	0.37	64,406	0.372	0.2231	null	null	198	0	0	0	0	decelerating	0.03	0.23	1	1	3	11	0.281	0.292	0.294	0.317	0.213	528,654	556,970	554,104	48	2,050	stable	0	null	72.22

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White Space Finder in California, US

Free sample dataset from BeamStation

The "White Space Finder in California, US" dataset highlights 128 specific market opportunities across California where consumer demand is strong but direct competition is extremely limited. Each record represents a location that satisfies a rigorous tri‑factor test: high population density, severe undersupply (fewer than five competitors), and an immediate micro‑radius chance for new entrants. Updated weekly, the dataset enables entrepreneurs, investors, and market analysts to pinpoint "blue ocean" niches—areas with active sentiment and unmet need—so they can evaluate entry strategies, allocate resources, or conduct competitive research with confidence. By focusing exclusively on these vetted spots, users save time on broad scans and concentrate on the most promising pockets for growth within the state.

Dataset Details

Field	Value
Full dataset	128 records
Sample size	12 records
Location	California
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/white-space-finder-in-california-us-315816")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 128 records and unmasked contact data is available at:

White Space Finder in California, US on BeamStation

License

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

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