Datasets:

beamstation
/

all-restaurants-in-santa-monica-california-us-103508

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 float64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github 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 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 float64	reviews_count_90d float64	reviews_count_180d float64	reviews_count_360d float64	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_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 float64	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 float64	beam_velocity_reviews_last_90d float64	beam_velocity_reviews_last_365d float64	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 float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	beam_velocity_rank_city float64	beam_velocity_rank_state float64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
TYQ9TPKM	LA Puglia	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Southern Italian restaurant	1621 Wilshire Blvd, Santa Monica, CA 90403	1621 Wilshire Blvd	Santa Monica	California	Wilshire Montana	Wilshire/Montana	90,403	US	true	34.028888	-118.486588	America/Los_Angeles	(424) 22-***	4	null	true	true	null	true	Santa Monica	California	US	https	https://lapuglia.us	lapuglia.us	lapuglia.us	us	2,535	2019-05-01	2026-05-01	Tucows Domains Inc.	purchase_dataset@lapuglia.us, purchase_dataset@lapuglia.us	realdomain	2	2	0	null	true	false	4.36	496	{"1": 38, "2": 27, "3": 20, "4": 41, "5": 371}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great coffee, Great dessert, Great wine list, Live music	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, Organic dishes, Small(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	Family-friendly, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	true	true	purchase_dataset@	true	true	2	2025-02-07	2025-12-30	426	100	24	426	426	100	100	https://www.instagram.com/lapugliafoodexperience	lapugliafoodexperience	https://www.facebook.com/lapugliafoodexperience	lapugliafoodexperience	null	null	null	null	null	null	null	null	null	null	null	null	null	null	3,480	2.23	null	null	1.24	1.56	186	null	null	null	null	null	null	null	null	https://lapuglia.us/menu	https://opentable.com/restaurant/profile/1183936	https://opentable.com/restaurant/profile/1183936	2026-04-09T09:50:40.931399+00:00	3.74	0.18	0.8	13,757.93	273.7	48.2561	0.14	87.2	89.9	82.5	0.6442	0.5	0.0523	0.4204	0.6645	0.4165	0.8738	0.6968	52.6	83.2	100	0	0	52.38	47.62	0	71.43	28.57	0	84.07	15.04	0.88	improving	declining	0.4477	-30.6	-0.6122	-36.8	1	21	49	113	-14.3	-25.7	-85.7	65	27.4	56	67	49.7	46	150	475	221	23,846	73,800	33,400	232,684	680,047	342,892	249,656	150	450,697	63	540,621	149,777	101	126,915	219,325	101	142,262	202	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.6863	0.1184	0.4884	-0.1184	-0.7818	0.3867	0.0416	0.2309	-0.0416	-0.5243	0.6954	0.1286	0.5449	-0.1286	-0.8383	100	62	100	450,697	373,892	540,621	0.3899	0.4938	0.2752	0.6361	0.4165	40.1	0.72	345	19.7	0.4617	5.5	0.8	146	9	0.1825	149,777	432,734	126,915	0.7973	0.4226	0.8324	0.3639	0.8738	51.6	0.69	1,440	10.6	0.6954	-6	0.83	-949	18.1	-0.0512	219,325	339,870	142,262	0.701	Below Average	0.5428	0.8104	0.5074	0.6968	Strong	51.8	0.93	1,703	14.4	Strong	0.6758	-6.2	0.59	-1,212	14.3	-0.0316	63	101	101	674	13	competitive	0.0224	19.74	54.8	33.9	11.3	2,780	1,131	competitive	0.0034	1.27	1	82	17	7,583	5,047	competitive	0.0029	0.32	4	74	22	0.13	0.4912	-0.13	-0.7846	100	101	205	124	246	0.6243	0.7768	0.5554	0.7786	0.5971	51.3	0.7	1,253	12.6	0.6879	-5.7	0.82	-762	16.1	-0.0437	competitive	0.0039	2.25	2	79	19	0.6494	0.14	5.51	0.1838	0.7227	-0.1838	-1.0161	100	101	24,627	28,347	62,702	0.7586	0.7241	0.3908	0.791	0.5376	55.3	1.28	3,627	13.2	0.871	-9.7	0.24	-3,136	15.5	-0.2268	competitive	0.0014	0.0002	1.28	0.01	0.6379	0.059	0.2307	-0.059	-0.5241	791,801	41.1	0.94	531	20.4	0.4595	4.5	0.58	-40	0.1847	0.6354	0.6233	0.6794	0.6562	0.6524	286,278	0.645	8.3	297,864	253,459	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	17.4	0.06	97	0.186	0.8475	0.2767	0.7059	0.7778	0.6688	71	57	29.34	0.6863	460	10.74	931	2,093	1.3458	13,457.82	0.03	395,382	93	0.0092	91.73	5.04	158.73	0.12	99.01	0.08	99.01	0.15	99.01	0.02	99.01	-28.7	-2.84	-4	-53.7	-7.7	null	null	null	null	null	0.1	-40,984	0.063	0.39	450,695	0.39	-0.17	81,265	-0.106	0.7	149,750	0.797	-0.06	17,304	-0.017	0.69	219,275	0.701	0.04	11	-0.024	0.65	205	0.624	-0.03	-3,107	0.035	0.64	24,627	0.759	0.6442	null	null	496	0.03	1	0.346	0.417	decelerating	0.03	0.23	1	1	16	66	0.507	0.515	0.517	0.346	0.417	253,363	266,224	265,236	12	546	decelerating	-0.5	null	83.13
XRKX2MQ8	Vito's Pizza	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Bar	2455 Santa Monica Blvd, Santa Monica, CA 90404	2455 Santa Monica Blvd	Santa Monica	California	Mid-City	Mid-City	90,404	US	true	34.032643	-118.475521	America/Los_Angeles	(310) 88-***	2	null	true	true	null	true	Santa Monica	California	US	http	http://vitossm.com	vitossm.com	vitossm.com	com	3,419	2016-11-28	2026-11-28	GoDaddy.com, LLC	purchase_dataset@vitossm.com, purchase_dataset@vitossm.com	realdomain	2	0	2	New Jersey–style pizza & Italian subs, with old-school vinyl on the turntables behind the bar.	true	true	4.29	695	{"1": 47, "2": 30, "3": 45, "4": 148, "5": 465}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Comfort food, Happy hour drinks, Hard liquor, Quick bite, Vegetarian opti(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	3	2025-04-29	2026-02-13	345	55	63	345	345	55	55	null	null	https://www.facebook.com/vitospizzasm	vitospizzasm	null	null	https://www.tiktok.com/@vitosm_	vitosm_	null	null	https://www.youtube.com/channel/ucopxvpfm021dpp8l6eux-qa	ucopxvpfm021dpp8l6eux-qa	null	null	null	null	null	null	null	null	null	null	null	null	null	1,047	102	5,071	1.69	null	1.18	1.59	1.69	https://vitossm.com/lunchdinner	null	null	2026-04-08T12:26:37.138259+00:00	1.12	0.18	0.7	13,746.88	182.8	48.2561	0.14	85.8	94.8	83.7	0.6511	null	0.6249	0.7543	0.7174	0.3413	0.8736	0.7122	81.2	85.9	null	null	null	83.33	8.33	8.33	88.89	3.7	7.41	87.5	7.14	5.36	stable	declining	null	-4.7	-0.0925	-5.5	0	12	27	56	-11.1	-14.3	-100	72.5	27.4	64	83	81.1	46	112	543	155	15,852	84,064	21,513	167,477	755,437	237,327	179,751	112	496,461	71	602,133	149,777	101	116,041	248,639	101	112,230	239	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.6628	0.1103	0.5118	-0.1103	0.0595	0.3206	0.0193	0.2041	-0.0193	0.3672	0.6976	0.1432	0.5372	-0.1432	0.0341	100	70	100	496,461	415,740	602,133	0.3289	0.437	0.193	0.5311	0.3413	39.2	0.63	284	16.3	0.439	4.3	-0.55	447	-14.8	0.2121	149,777	438,146	116,041	0.7973	0.4156	0.8468	0.3765	0.8736	51.6	0.68	1,487	10.9	0.6953	-8.1	-0.6	-756	-9.4	-0.0442	248,639	388,186	112,230	0.6612	Below Average	0.4775	0.8503	0.4352	0.7122	Strong	51.3	0.82	1,833	12.4	Strong	0.6801	-7.8	-0.74	-1,102	-10.9	-0.029	71	101	101	543	12	competitive	0.0354	22.28	54.3	34.3	11.4	3,007	1,359	competitive	0.0049	1.27	1	82	17	7,415	5,047	competitive	0.004	0.32	4	76	20	0.13	0.4877	-0.13	0.0836	100	101	245	500	160	0.5517	0.078	0.7096	0.0944	0.6189	51.3	0.7	1,258	12.6	0.6861	-7.8	-0.62	-527	-11.1	-0.035	competitive	0.0058	2.25	2	79	19	0.457	0.14	5.51	0.1878	0.7271	-0.1878	-0.1558	100	101	29,967	53,595	57,350	0.707	0.4655	0.4429	0.4853	0.5524	55.5	1.31	3,630	13.7	0.8678	-12	-1.23	-2,899	-12.2	-0.2167	competitive	0.002	0.0002	1.28	0.01	0.5553	0.059	0.2307	-0.059	0.3406	791,801	41.1	0.94	531	20.4	0.4595	2.4	-0.86	200	0.1916	0.5705	0.2667	0.7726	0.3051	0.662	337,607	0.54	-18.9	556,571	179,814	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	13.2	0.25	296	0.1583	0.6993	0.4248	0.7843	0.3682	0.6209	136	57	29.74	0.7059	460	10.74	931	2,093	1.3518	13,518.42	0.03	395,382	93	0.0092	91.81	12.55	140.85	0.24	99.01	0.16	99.01	0.33	99.01	0.04	99.01	-38	-4.21	36	-82.2	-41.6	null	null	null	null	null	0.05	-13,160	0.026	0.32	496,460	0.329	-0.18	81,265	-0.106	0.7	149,770	0.797	-0.09	46,618	-0.056	0.66	248,626	0.661	-0.24	175	-0.315	0.46	245	0.552	-0.2	22,789	-0.22	0.56	29,967	0.707	0.6511	null	null	695	0.03	1	0.556	0.513	decelerating	0.03	0.23	1	1	8	49	0.507	0.515	0.517	0.556	0.513	253,363	266,224	265,236	7	1,019	decelerating	-0.14	null	86.89
4MU2RBQL	Santa Monica Pizza Kitchen	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Italian restaurant	1318 Wilshire Blvd, Santa Monica, CA 90403	1318 Wilshire Blvd	Santa Monica	California	Mid-City	Downtown/Third Street Promenade	90,403	US	true	34.026288	-118.489138	America/Los_Angeles	(310) 39-***	2	OPERATIONAL	true	true	null	true	Santa Monica	California	US	http	http://santamonicapizzakitchen.com	santamonicapizzakitchen.com	santamonicapizzakitchen.com	com	8,030	2004-04-14	2027-04-14	Squarespace Domains LLC	null	null	0	0	0	Family-owned & eco-friendly eatery serving New York-style pizza, gourmet greens & pastas.	true	true	4.36	374	{"1": 16, "2": 11, "3": 36, "4": 69, "5": 244}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible seating	Comfort food, Late-night food, Quick bite, Vegetarian options	Lunch, Dinner, Catering, Counter service, Dessert	null	Casual, Cozy	College students, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	4	2024-06-03	2024-07-03	675	645	36	675	675	645	645	https://www.instagram.com/santamonicapizzakitchen	santamonicapizzakitchen	https://www.facebook.com/santamonicapizza	santamonicapizza	https://twitter.com/smpizza	smpizza	null	null	https://www.linkedin.com/in/jalal-karimi-42125a1b	jalal-karimi-42125a1b	null	null	null	null	null	null	null	null	606	1.44	null	null	null	null	162	null	null	null	null	null	null	null	null	https://santamonicapizzakitchen.com/menus	null	null	2026-04-08T12:26:14.476931+00:00	0.65	0	0.4	13,713.09	136.7	48.2561	0.14	87.2	85.8	83.2	0.6972	null	0.6035	0.71	0.722	0.6212	0.8624	0.669	80.2	86.1	null	null	null	66.67	0	33.33	81.82	9.09	9.09	83.33	8.33	8.33	stable	declining	null	-5.9	-0.1185	-6.9	0	3	11	24	-45.5	-50	-100	70.1	9.5	72	83	82.6	46	188	479	280	30,338	73,940	43,165	283,203	681,028	428,612	303,405	188	440,219	85	444,644	135,555	101	134,127	208,674	101	136,849	205	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.6958	0.1084	0.4718	-0.1084	0.1317	0.4033	0.03	0.2211	-0.03	0.3824	0.7119	0.1107	0.5548	-0.1107	0.0487	100	84	100	440,219	441,183	444,644	0.4039	0.4023	0.4036	0.4821	0.6212	40.3	0.58	434	14.9	0.522	17.7	2.01	-62	33.8	0.1752	135,555	405,005	134,127	0.8173	0.4603	0.8229	0.4081	0.8624	52	0.75	1,411	11.7	0.6896	6	1.84	-1,039	37	0.0076	208,674	336,369	136,849	0.7155	Average	0.5478	0.8176	0.5138	0.669	Strong	52	0.94	1,725	14.6	Strong	0.668	6	1.65	-1,353	34.1	0.0292	85	101	101	717	32	competitive	0.0101	26.74	48.8	44	7.1	2,806	1,103	competitive	0.0026	1.27	1	80	19	7,681	5,270	competitive	0.0022	0.32	4	73	23	0.13	0.4877	-0.13	0.1158	100	101	36	99	348	0.9365	0.8221	0.3684	0.8258	0.7024	51.3	0.7	1,258	12.6	0.6861	6.7	1.89	-886	36.1	0.0111	competitive	0.0029	2.25	2	79	19	0.7318	0.14	5.51	0.1885	0.7258	-0.1885	-0.1223	100	101	7,690	18,446	66,781	0.9245	0.8197	0.351	0.8822	0.6226	55.3	1.28	3,634	13.2	0.8702	2.7	1.31	-3,262	35.5	-0.173	competitive	0.001	0.0002	1.28	0.01	0.721	0.059	0.2307	-0.059	0.3728	791,801	41.1	0.94	531	20.4	0.4595	16.9	1.65	-159	0.2377	0.8907	0.7345	0.6143	0.7685	0.7296	85,647	0.7609	28.3	209,244	304,885	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	18	0.07	-25	0.2039	0.8606	0.2789	0.6275	0.817	0.7059	64	57	33.59	0.8649	460	10.74	931	2,093	1.3518	13,518.42	0.03	395,382	93	0.0092	91.9	1.02	117.65	0.07	99.01	0.05	99.01	0.09	99.01	0.01	99.01	-23.4	-1.77	-2	-34.5	-50.6	null	null	null	null	null	-0.09	106,690	-0.136	0.4	440,217	0.404	-0.15	70,708	-0.091	0.71	135,548	0.817	-0.05	14,434	-0.012	0.7	208,656	0.716	0.06	-39	0.071	0.73	36	0.937	0	270	0	0.72	7,690	0.925	0.6972	null	null	374	0	0	0	0	decelerating	0.07	0.47	2	2	8	28	0.439	0.452	0.454	0.278	0.391	417,455	437,538	435,431	13	2,176	decelerating	-0.03	null	88.24
DYQ2R3T5	Fromin's	Food and Drink	Restaurants	Deli	Deli, Breakfast restaurant, Family restaurant	1832 Wilshire Blvd, Santa Monica, CA 90403	1832 Wilshire Blvd	Santa Monica	California	Mid-City	Mid-City	90,403	US	true	34.030172	-118.483981	America/Los_Angeles	(310) 82-***	2	null	true	true	null	true	Santa Monica	California	US	http	http://fromins.com	fromins.com	fromins.com	com	5,743	2010-07-19	2026-07-19	DREAMHOST	purchase_dataset@frominsdeli.com	null	1	1	0	A big menu of deli & diner comfort foods plus soda fountain, beer & wine dished out in homey digs.	true	true	4.21	989	{"1": 55, "2": 36, "3": 110, "4": 237, "5": 579}	Delivery, In-store pickup, In-store shopping, Onsite services, Takeout, Dine-in	null	null	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	null	null	Restroom, Wi-Fi	null	LGBTQ+ friendly	Quick visit	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	4	2025-11-04	2026-01-30	156	69	24	156	156	69	69	https://www.instagram.com/frominsdeli	frominsdeli	https://www.facebook.com/frominsdeli	frominsdeli	https://twitter.com/mfromin	mfromin	null	null	https://www.linkedin.com/in/dennis-fromin-a5461335	dennis-fromin-a5461335	null	null	null	null	null	null	null	null	824	0.32	null	0.36	0.32	0.32	909	null	null	null	null	null	null	null	null	https://direct.chownow.com/direct/6153/locations	null	null	2026-04-08T12:20:48.478169+00:00	0.89	0.36	0.3	13,496.57	136.9	48.2561	0.14	84.2	99.9	79.8	0.6028	-1	0.3896	0.4877	0.6133	0.4091	0.8783	0.6874	69.5	80.7	0	100	0	68.18	22.73	9.09	74	16	10	82.18	12.87	4.95	declining	declining	-1.3896	-11.2	-0.2237	-13.9	1	22	50	101	-12	-12.9	-86.4	70	32.8	48	83	72.5	46	64	622	88	8,543	94,443	11,433	99,921	832,191	137,982	108,364	64	496,461	68	582,814	142,040	101	122,651	224,741	101	144,479	290	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.6808	0.1027	0.4639	-0.1027	-0.1294	0.3342	0.0296	0.2151	-0.0296	0.1194	0.7073	0.1132	0.5454	-0.1132	-0.2109	100	67	100	496,461	401,255	582,814	0.3289	0.4567	0.2189	0.5644	0.4091	39.2	0.66	304	17.3	0.4595	9	0.36	708	1.6	0.1433	142,040	418,414	122,651	0.8079	0.4423	0.8381	0.3965	0.8783	51.8	0.72	1,458	11.4	0.6979	-3.6	0.3	-446	7.5	-0.0951	224,741	343,627	144,479	0.6933	Below Average	0.5374	0.8074	0.5004	0.6874	Strong	51.7	0.92	1,694	14.2	Strong	0.6732	-3.5	0.1	-682	4.7	-0.0704	68	101	101	670	225	competitive	0.0473	21.33	55.2	34.3	10.4	2,872	1,097	competitive	0.0069	1.27	1	81	18	7,603	5,003	competitive	0.0059	0.32	4	74	22	0.13	0.4904	-0.13	-0.1559	100	101	146	132	105	0.7314	0.7604	0.8113	0.7586	0.5263	51.4	0.72	1,252	12.9	0.6872	-3.2	0.3	-240	6	-0.0844	competitive	0.008	2.25	2	78	20	0.7641	0.14	5.52	0.1778	0.7244	-0.1778	-0.3899	100	101	19,610	30,799	53,431	0.8082	0.7006	0.481	0.7169	0.4796	55.4	1.28	3,627	13.3	0.8715	-7.2	-0.26	-2,615	5.6	-0.2687	competitive	0.0028	0.0002	1.28	0.01	0.6777	0.059	0.2307	-0.059	0.1038	791,801	41.1	0.94	531	20.4	0.4595	7.1	0.08	481	0.1433	0.7115	0.6017	0.8441	0.6112	0.5968	226,266	0.7183	-1.5	315,159	123,293	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	11.7	0.01	590	0.1237	0.6601	0.2418	0.8758	0.7647	0.5577	156	57	30.58	0.7277	460	10.74	931	2,093	1.3454	13,453.52	0.03	395,382	93	0.0092	91.72	22.36	147.06	0.48	99.01	0.35	99.01	0.64	99.01	0.08	99.01	-30.6	-3.2	25	-60.9	-39.6	null	null	null	null	null	0.02	14,190	-0.011	0.33	496,459	0.329	-0.17	80,749	-0.105	0.71	142,038	0.808	-0.05	7,655	-0.004	0.68	224,735	0.693	0.1	31	-0.056	0.76	146	0.731	-0.05	5,147	-0.046	0.68	19,610	0.808	0.6028	null	null	989	0.07	2	1	0.855	decelerating	0.07	0.47	2	2	20	65	0.732	0.739	0.74	1	0.855	156,567	163,872	163,540	1	40	decelerating	-0.16	null	86.02
H9LX66YE	Rock N Pies	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	1120 Wilshire Blvd, Santa Monica, CA 90401	1120 Wilshire Blvd	Santa Monica	California	Mid-City	Downtown/Third Street Promenade	90,401	US	true	34.024788	-118.491037	America/Los_Angeles	(310) 31-***	2	null	true	true	null	true	Santa Monica	California	US	http	http://rocknpiespizza.com	rocknpiespizza.com	rocknpiespizza.com	com	3,217	2017-06-18	2026-06-18	GoDaddy.com, LLC	purchase_dataset@rocknpiespizza.com	realdomain	1	1	0	null	true	false	4.36	397	{"1": 23, "2": 16, "3": 17, "4": 76, "5": 263}	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, Comfort food, Happy hour food, Late-night food, Quick bite, Small plates, Vegetarian(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	3	2024-11-10	2025-06-21	515	292	33	515	515	292	292	https://www.instagram.com/rocknpies	rocknpies	https://www.facebook.com/rocknpies	rocknpies	https://twitter.com/ksudolinina	ksudolinina	null	null	null	null	null	null	null	null	null	null	null	null	4,578	0.75	null	null	null	0.17	173	null	null	null	null	null	null	null	null	https://rocknpiespizza.com/menu	null	null	2026-04-08T12:16:06.065671+00:00	4.92	0	0.3	13,558.75	183.1	48.2561	0.14	87.2	86.7	85.6	0.6741	null	0.5208	0.332	0.6098	0.7471	0.8672	0.669	76	80.5	null	null	null	75	25	0	64.71	35.29	0	81.82	18.18	0	stable	declining	null	-4.5	-0.089	-5.6	0	4	17	33	-52.9	-51.5	-100	64.9	9.5	52	67	68.7	46	178	478	265	28,932	73,911	41,053	272,761	680,831	410,705	292,283	178	374,530	101	442,552	138,626	101	136,206	192,266	101	141,052	204	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.7149	0.1162	0.4768	-0.1162	-0.2602	0.4574	0.0645	0.2999	-0.0645	-0.0833	0.7058	0.1249	0.5491	-0.1249	-0.3325	100	100	100	374,530	396,466	442,552	0.4913	0.4631	0.4064	0.3887	0.7471	41.5	0.67	436	12.5	0.5656	-6.1	-0.57	-43	-10.5	0.1085	138,626	413,847	136,206	0.8128	0.4486	0.8202	0.4081	0.8672	51.9	0.73	1,403	11.7	0.692	-16.5	-0.63	-1,010	-9.7	-0.0179	192,266	308,357	141,052	0.7394	Average	0.5852	0.812	0.5436	0.669	Strong	52.4	1.02	1,708	15.6	Strong	0.668	-17	-0.92	-1,315	-13.6	0.0061	101	101	101	707	41	competitive	0.0089	31.83	46	49	5	2,704	1,028	competitive	0.0028	1.27	1	81	18	7,652	5,025	competitive	0.0023	0.32	4	71	25	0.13	0.4912	-0.13	-0.2746	100	101	384	481	319	0.3031	0.1143	0.4211	0.1397	0.6515	51.3	0.7	1,253	12.6	0.6879	-15.9	-0.6	-860	-10.6	-0.0138	competitive	0.0031	2.25	2	79	19	0.2819	0.14	5.51	0.1778	0.7298	-0.1778	-0.5132	100	101	52,684	45,603	67,138	0.4854	0.5427	0.3475	0.566	0.586	55.3	1.28	3,663	13.2	0.8687	-19.9	-1.18	-3,270	-11.2	-0.1946	competitive	0.0011	0.0002	1.28	0.01	0.4612	0.059	0.2307	-0.059	-0.0141	791,801	41.1	0.94	531	20.4	0.4595	-5.7	-0.84	-138	0.2146	0.3455	0.326	0.627	0.3812	0.6953	516,270	0.4241	-18.4	512,321	294,841	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	3.3	-0.11	-2	0.1884	0.4532	0.1983	0.6449	0.4423	0.6754	252	57	30.09	0.7146	460	10.74	931	2,093	1.3458	13,457.82	0.03	395,382	93	0.0093	92.66	0.8	99.01	0.08	99.01	0.05	99.01	0.1	99.01	0.01	99.01	-39.2	-4.26	-4	-83.6	-39	null	null	null	null	null	-0.21	174,513	-0.231	0.46	374,529	0.491	-0.16	70,114	-0.091	0.71	138,621	0.813	-0.02	-17,231	0.032	0.71	192,250	0.739	-0.31	193	-0.349	0.28	384	0.303	-0.18	25,888	-0.247	0.46	52,684	0.485	0.6741	null	null	397	0	0	0	0	decelerating	0.03	0.23	1	1	11	34	0.281	0.292	0.294	0.167	0.211	528,654	556,970	554,104	15	2,841	decelerating	-0.14	null	87.15
5HZVEF2S	Calif Chicken Cafe	Food and Drink	Restaurants	Chicken restaurant	Chicken restaurant, American restaurant, Restaurant, Salad shop, Sandwich shop	2401 Wilshire Blvd, Santa Monica, CA 90403	2401 Wilshire Blvd	Santa Monica	California	Northeast	Northeast	90,403	US	true	34.03429	-118.479923	America/Los_Angeles	(310) 45-***	2	null	true	true	null	true	Santa Monica	California	US	https	https://califchickencafe.com/locations/santa-monica	califchickencafe.com/locations/santa-monica	califchickencafe.com	com	3,909	2015-07-27	2026-07-27	Domain.com - Network Solutions, LLC	purchase_dataset@califchickencafe.com, purchase_dataset@califchickencafe.com	realdomain	2	2	0	Local counter-serve chain offering a menu of rotisserie chicken, wraps & salads, plus sides.	true	true	4.37	645	{"1": 32, "2": 18, "3": 45, "4": 146, "5": 449}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Healthy options, Quick bite, Vegetarian options	Lunch, Dinner, Catering, Dessert	Gender-neutral restroom, Restroom	Casual	College students, Groups	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-10-01	2026-03-05	190	35	101	190	190	35	35	https://www.instagram.com/californiachickencafe	californiachickencafe	https://www.facebook.com/californiachickencafe	californiachickencafe	https://twitter.com/califchicken	califchicken	https://www.tiktok.com/@californiachickencafe	californiachickencafe	https://www.linkedin.com/company/california-chicken-cafe	california-chicken-cafe	null	null	null	null	null	null	https://www.pinterest.com/calif_chicken	calif_chicken	26,320	0.14	null	0.14	0.14	0.14	3,746	2,259	513	15,700	2.28	null	2.93	2.33	2.28	https://califchickencafe.com/menu	null	null	2026-04-08T06:47:49.783856+00:00	28.27	0.18	0	13,795.86	91.2	48.2561	0.14	87.4	93.7	85.4	0.6707	null	-0.1579	0.2459	0.562	0.3339	0.8707	0.7188	42.1	78.1	null	null	null	40	60	0	64.71	35.29	0	81.63	18.37	0	stable	declining	null	-36	-0.7199	-46.1	0	5	17	49	-41.2	-59.2	-100	70.1	27.4	88	83	46.3	46	119	468	169	17,692	72,348	24,199	182,352	668,884	260,563	195,501	119	520,940	71	598,384	153,810	101	121,699	213,810	101	145,284	197	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.688	0.0965	0.4886	-0.0965	-0.936	0.2987	0.0042	0.1778	-0.0042	-0.6252	0.6912	0.1494	0.5302	-0.1494	-0.9776	100	70	100	520,940	441,183	598,384	0.2966	0.4023	0.198	0.4964	0.3339	38.7	0.58	288	15.3	0.4367	18	1.91	400	29.6	0.234	153,810	443,425	121,699	0.7918	0.4092	0.8393	0.3596	0.8707	51.5	0.67	1,462	10.5	0.6938	5.2	1.82	-774	34.4	-0.0231	213,810	339,870	145,284	0.7082	Below Average	0.5428	0.8063	0.5106	0.7188	Strong	51.9	0.93	1,691	14.5	Strong	0.6819	4.8	1.56	-1,003	30.4	-0.0112	71	101	101	581	40	competitive	0.033	22.28	55.7	32.9	11.4	3,016	1,047	competitive	0.0047	1.27	1	82	17	7,408	5,001	competitive	0.0041	0.32	4	73	23	0.13	0.4982	-0.13	-0.9456	100	101	44	105	172	0.922	0.8113	0.6897	0.804	0.6497	51.4	0.7	1,255	12.7	0.6865	5.3	1.79	-567	32.2	-0.0158	competitive	0.0055	2.25	2	78	20	0.8191	0.14	5.52	0.1938	0.7252	-0.1938	-1.1726	100	101	8,791	19,781	58,214	0.9137	0.8066	0.4345	0.8627	0.5785	55.3	1.28	3,634	13.2	0.8701	1.4	1.21	-2,946	31.7	-0.1994	competitive	0.0019	0.0002	1.28	0.01	0.7378	0.059	0.2307	-0.059	-0.6781	791,801	41.1	0.94	531	20.4	0.4595	15.6	1.55	157	0.2112	0.8754	0.7196	0.7583	0.7453	0.6904	97,715	0.7935	24.5	221,063	191,083	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	15.9	0.12	246	0.1928	0.7908	0.3028	0.7691	0.8083	0.6863	97	57	33.14	0.8388	460	10.74	931	2,093	1.3488	13,488.33	0.03	395,382	93	0.0092	91.9	10.92	140.85	0.22	99.01	0.16	99.01	0.3	99.01	0.04	99.01	-20.8	-1.89	45	-40.6	-17.7	null	null	null	null	null	0.03	11,319	-0.007	0.3	520,939	0.297	-0.18	85,298	-0.112	0.69	153,808	0.792	-0.05	4,313	0.001	0.69	213,807	0.708	0.15	-103	0.188	0.82	44	0.922	0.01	-9,255	0.095	0.74	8,791	0.914	0.6707	null	null	645	0.03	1	0	0.501	decelerating	0.03	0.23	1	1	5	27	0.507	0.515	0.517	0	0.501	253,363	266,224	265,236	1	370	decelerating	0	null	89.72
CZL88AWA	Pizza Fling	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	3032 Wilshire Blvd Suite B3, Santa Monica, CA 90403	3032 Wilshire Blvd Suite B3	Santa Monica	California	Mid-City	Mid-City	90,403	US	true	34.039487	-118.472685	America/Los_Angeles	(310) 31-***	2	null	true	true	null	true	Santa Monica	California	US	https	https://pizzafling.com	pizzafling.com	pizzafling.com	com	378	2025-03-27	2027-03-27	GoDaddy.com, LLC	purchase_dataset@pizzafling.com	realdomain	1	1	0	null	true	false	4.84	77	{"1": 3, "2": 1, "3": 1, "4": 2, "5": 76}	Curbside pickup, No-contact delivery, Delivery, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Vegan options, Vegetarian options	Lunch, Dinner, Catering, Dessert, Seating	Restroom	Casual	null	null	Credit cards, Debit cards	Good for kids	true	true	purchase_dataset@	true	true	3	2025-08-11	2026-01-05	241	94	24	241	241	94	94	https://www.instagram.com/pizzafling	pizzafling	https://www.facebook.com/61578804415594	61578804415594	null	null	null	null	null	null	https://www.youtube.com/channel/uc7q7bkt4ihgpwzvcx1xpi1g	uc7q7bkt4ihgpwzvcx1xpi1g	null	null	null	null	null	null	1,481	17.69	null	null	7.24	17.69	28	null	null	null	null	null	null	null	null	https://order.pizzafling.com/pizza-fling	null	null	2026-04-08T06:37:37.647507+00:00	1.59	0.18	0.3	15,909.83	182.4	48.2561	0.14	96.8	63.1	96.1	0.904	null	0.6364	0.8596	0.904	0.4243	0.8742	0.7209	81.8	95.2	null	null	null	81.82	18.18	0	93.33	6.67	0	94.81	3.9	1.3	stable	declining	null	-13.4	-0.2676	-14.1	0	11	45	77	-51.1	-42.9	-100	73.1	27.4	76	67	82.1	46	317	105	591	58,614	17,607	94,262	492,164	188,198	854,476	528,481	317	525,663	83	597,456	153,810	101	129,321	230,480	101	114,397	25	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.6788	0.1111	0.5164	-0.1111	0.0836	0.303	0.0163	0.2537	-0.0163	0.3463	0.6902	0.1536	0.5288	-0.1536	0.0712	100	82	100	525,663	425,710	597,456	0.2905	0.4234	0.1993	0.425	0.4243	38.6	0.61	289	13.4	0.464	25.3	2.94	-210	55	0.44	153,810	438,146	129,321	0.7918	0.4156	0.8292	0.3681	0.8742	51.5	0.68	1,430	10.7	0.6956	12.4	2.87	-1,351	57.7	0.2084	230,480	369,611	114,397	0.6852	Below Average	0.5016	0.8475	0.4578	0.7209	Strong	51.6	0.86	1,823	13	Strong	0.6825	12.3	2.69	-1,744	55.4	0.2215	83	101	101	665	5	competitive	0.0033	26.1	50	43.9	6.1	3,231	1,088	competitive	0.0006	1.27	1	82	17	7,481	5,142	competitive	0.0004	0.32	4	75	21	0.13	0.4877	-0.13	0.1123	100	101	21	66	505	0.9637	0.882	0.0853	0.9855	0.9673	51.3	0.7	1,258	12.6	0.6861	12.6	2.85	-1,179	55.8	0.2179	competitive	0.0006	2.25	2	79	19	0.6757	0.14	5.51	0.1894	0.724	-0.1894	-0.124	100	101	3,261	10,444	84,947	0.9679	0.8981	0.174	0.9801	0.9264	55.3	1.28	3,636	13.2	0.8697	8.6	2.27	-3,557	55.2	0.0343	competitive	0.0002	0.0002	1.28	0.01	0.7088	0.059	0.2307	-0.059	0.3693	791,801	41.1	0.94	531	20.4	0.4595	22.8	2.61	-452	0.4445	0.9486	0.8432	0.3325	0.9637	0.9627	40,004	0.7322	48	123,537	527,385	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	22.4	0.58	-322	0.4301	0.9542	0.6078	0.3486	0.9869	0.9804	21	57	38.95	0.9717	460	10.74	931	2,093	1.3518	13,518.42	0.03	395,382	93	0.0092	91.96	0.11	120.48	0	99.01	0	99.01	0	99.01	0	99.01	-16.7	-1.29	2	-27.7	-24.1	null	null	null	null	null	0	33,982	-0.037	0.3	525,661	0.291	-0.19	92,519	-0.122	0.69	153,795	0.792	-0.08	43,952	-0.053	0.68	230,443	0.685	-0.02	-66	0.122	0.68	21	0.964	-0.01	-6,102	0.063	0.71	3,261	0.968	0.904	null	null	77	0.03	1	0.556	0.513	decelerating	0.03	0.23	1	1	11	58	0.507	0.515	0.517	0.556	0.513	253,363	266,224	265,236	7	1,019	decelerating	-0.14	null	87.01
DKTBL4A7	Bludso's BBQ	Food and Drink	Restaurants	Barbecue restaurant	Barbecue restaurant, Cocktail bar, Sports bar	1329 Santa Monica Blvd, Santa Monica, CA 90404	1329 Santa Monica Blvd	Santa Monica	California	Mid-City	Downtown/Third Street Promenade	90,404	US	true	34.024147	-118.486017	America/Los_Angeles	(310) 31-***	2	OPERATIONAL	true	true	null	true	Santa Monica	California	US	https	https://bludsosbbq.com	bludsosbbq.com	bludsosbbq.com	com	5,238	2011-12-06	2029-12-06	GoDaddy.com, LLC	null	null	0	0	0	null	true	false	4.14	457	{"1": 46, "2": 29, "3": 36, "4": 59, "5": 304}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Serves local specialty, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Qu(...TRUNCATED)	Lunch, Dinner, Catering, 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	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	https://bludsosbbq.com/menu	https://google.com/maps/reserve/v/dine/c/6f-5koemfem?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/6f-5koemfem?source=pa&opi=79508299	2026-04-08T01:51:16.090985+00:00	0	0.73	5.4	13,457.82	548.4	48.2561	0.14	82.8	88.7	76.6	0.5318	null	0.8378	0.714	0.6525	0.593	0.8623	0.6975	91.9	82.6	null	null	null	93.75	6.25	0	87.3	12.7	0	83.03	16.36	0.61	stable	improving	null	9.3	0.1853	11.3	0	32	63	165	1.6	-22.4	-100	61.1	36.8	0	33	87	46	162	663	239	25,756	102,778	36,241	247,777	895,897	368,065	265,695	162	434,923	75	377,164	126,311	101	132,325	224,741	101	141,766	313	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.6785	0.1059	0.4791	-0.1059	0.3333	0.4496	0.0344	0.264	-0.0344	0.5484	0.7259	0.1249	0.559	-0.1249	0.2534	100	74	100	434,923	401,255	377,164	0.4109	0.4567	0.494	0.4674	0.593	40.4	0.66	501	14.5	0.5132	-5	-0.34	-38	-8.2	0.0186	126,311	383,966	132,325	0.8295	0.4884	0.8253	0.4378	0.8623	52.3	0.8	1,418	12.5	0.6895	-16.9	-0.48	-955	-6.2	-0.1577	224,741	351,933	141,766	0.6933	Average	0.5262	0.811	0.4897	0.6975	Strong	51.7	0.9	1,705	13.9	Strong	0.676	-16.3	-0.58	-1,242	-7.6	-0.1442	75	101	101	693	5	competitive	0.0123	23.55	50	45.9	4.1	2,659	1,194	competitive	0.0033	1.27	1	78	21	7,526	5,069	competitive	0.0027	0.32	4	75	21	0.13	0.4912	-0.13	0.3212	100	101	384	201	266	0.3031	0.6243	0.5191	0.6407	0.4319	51.3	0.7	1,253	12.6	0.6879	-15.9	-0.38	-790	-6.3	-0.1561	competitive	0.0037	2.25	2	79	19	0.4642	0.14	5.51	0.1878	0.7267	-0.1878	0.0857	100	101	52,684	35,785	63,972	0.4854	0.651	0.3784	0.668	0.3983	55.3	1.28	3,641	13.2	0.8696	-19.9	-0.96	-3,178	-6.9	-0.3378	competitive	0.0013	0.0002	1.28	0.01	0.503	0.059	0.2307	-0.059	0.5817	791,801	41.1	0.94	531	20.4	0.4595	-5.7	-0.62	-68	0.0723	0.3455	0.5349	0.6655	0.5477	0.5127	516,270	0.4983	-14.1	366,378	264,449	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	4.7	0.53	58	0.0325	0.4902	0.5752	0.6797	0.6906	0.451	234	57	21.81	0.5033	460	10.74	931	2,093	1.3458	13,457.82	0.03	395,382	93	0.0092	92.08	1.52	133.33	0.11	99.01	0.07	99.01	0.14	99.01	0.02	99.01	-32.8	-3.82	7	-70.2	-38	null	null	null	null	null	-0.09	84,746	-0.107	0.45	434,922	0.411	-0.14	57,799	-0.074	0.73	126,306	0.83	-0.07	22,720	-0.024	0.68	224,728	0.693	0	96	-0.172	0.46	384	0.303	-0.01	4,518	-0.036	0.5	52,684	0.485	0.5318	null	null	457	0.13	4	1	0.892	decelerating	0.13	0.93	4	4	30	158	0.889	0.893	0.893	1	0.892	73,239	76,413	76,398	1	46	decelerating	-0.14	null	78.51
FKYAS48U	Holy Cow BBQ - Santa Monica	Food and Drink	Restaurants	Barbecue restaurant	Barbecue restaurant, Takeout Restaurant	264 26th St, Santa Monica, CA 90402	264 26th St	Santa Monica	California	North of Montana	North of Montana	90,402	US	true	34.046941	-118.490491	America/Los_Angeles	(310) 88-***	2	null	true	true	null	true	Santa Monica	California	US	http	http://holycowbbq.com	holycowbbq.com	holycowbbq.com	com	4,381	2014-04-11	2026-04-11	GoDaddy.com, LLC	"purchase_dataset@holycowbbq.com, purchase_dataset@holycowbbq.com, purchase_dataset@holycowbbq.com, (...TRUNCATED)	realdomain	6	6	0	"Casual joint serving different styles of BBQ, sandwiches & salads, classic sides, plus beer & wine.(...TRUNCATED)	true	true	4.45	410	{"1": 15, "2": 16, "3": 27, "4": 65, "5": 292}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Happy hour drinks, Happy hour food, Quick bite, Small plates, (...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Gender-neutral restroom, Restroom	Casual, Cozy, Trendy	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	6	2023-03-30	2026-02-04	1,106	64	27	1,106	1,106	64	64	https://www.instagram.com/holycowbbq	holycowbbq	https://www.facebook.com/holycowbbq	holycowbbq	https://twitter.com/holycowbbqla	holycowbbqla	https://www.tiktok.com/@whollycowbbq	whollycowbbq	https://www.linkedin.com/company/holy-cow-bbq	holy-cow-bbq	null	null	null	null	null	null	https://www.pinterest.com/holycowbbq	holycowbbq	14,839	0.13	null	0.15	0.13	0.13	2,206	0	1	4	3.23	null	null	null	null	https://toasttab.com/holy-cow-bbq-santa-monica/v3/?mode=fulfillment	null	null	2026-04-08T01:47:02.264144+00:00	15.94	0	0	13,955.06	91.1	48.2561	0.14	89	87.1	85.9	0.7092	null	0.6667	0.7763	0.7873	0.2309	0.8656	0.7361	83.3	89.4	null	null	null	83.33	16.67	0	89.47	10.53	0	90.38	7.69	1.92	stable	declining	null	-6.1	-0.1206	-6.8	0	6	19	52	-36.8	-53.8	-100	73.8	9.5	100	83	82.6	46	172	366	255	28,144	60,188	39,914	267,011	576,828	400,934	286,161	172	619,947	14	723,214	158,019	101	136,692	188,671	101	178,979	149	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.707	0.0641	0.4853	-0.0641	0.1147	0.2207	0.0281	0.0844	-0.0281	0.5156	0.681	0.1322	0.5132	-0.1322	0.0868	100	13	100	619,947	382,746	723,214	0.1664	0.4818	0.0318	0.425	0.2309	36.1	0.7	77	13.4	0.4014	26.9	2.19	331	41.5	0.3078	158,019	448,315	136,692	0.7859	0.4024	0.8195	0.3681	0.8656	51.4	0.66	1,401	10.7	0.6912	11.6	2.23	-993	44.2	0.018	188,671	295,492	178,979	0.7442	Below Average	0.6029	0.7614	0.5674	0.7361	Strong	52.5	1.06	1,574	16.5	Strong	0.6866	10.5	1.83	-1,166	38.4	0.0226	14	101	101	135	6	competitive	0.2894	4.14	53.8	46.2	0	3,671	1,458	competitive	0.0029	1.27	1	83	16	7,922	5,436	competitive	0.0026	0.32	3	71	26	0.13	0.4877	-0.13	0.1123	100	101	23	80	310	0.9601	0.8566	0.4392	0.9655	0.726	51.3	0.7	1,258	12.6	0.6861	11.7	2.19	-850	42.3	0.0231	competitive	0.0032	2.25	2	79	19	0.7728	0.14	5.51	0.1925	0.7265	-0.1925	-0.1265	100	101	4,014	15,223	65,567	0.9604	0.8511	0.3629	0.9398	0.6471	55.6	1.31	3,635	13.7	0.8677	7.4	1.58	-3,227	41.2	-0.1585	competitive	0.0011	0.0002	1.28	0.01	0.7484	0.059	0.2307	-0.059	0.3693	791,801	41.1	0.94	531	20.4	0.4595	21.9	1.95	-123	0.2497	0.9412	0.7751	0.6359	0.9046	0.7476	45,892	0.7998	34.5	177,029	287,853	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	24.5	0.19	11	0.2237	0.9826	0.3595	0.658	0.9542	0.756	9	57	32.68	0.8083	460	10.74	931	2,093	1.3518	13,518.42	0.03	395,382	93	0.0092	91.94	837.3	714.29	0.08	99.01	0.07	99.01	0.1	99.01	0.01	99.01	-19.7	-1.56	-2	-31	-37.3	null	null	null	null	null	-0.07	73,510	-0.088	0.22	619,946	0.166	-0.18	82,090	-0.107	0.68	158,018	0.786	-0.05	16,840	-0.014	0.71	188,668	0.744	0.03	-18	0.035	0.77	23	0.96	-0.02	-890	0.011	0.75	4,014	0.96	0.7092	null	null	410	0	0	0	0	decelerating	0.13	0.93	4	4	14	59	0.648	0.66	0.66	0	0.534	264,626	275,746	274,862	2	270	stable	0	null	88.78
JX874RTZ	Le Petit Chez Mimi	Food and Drink	Restaurants	French restaurant	French restaurant	2842 Colorado Ave, Santa Monica, CA 90404	2842 Colorado Ave	Santa Monica	California	null	Mid-City	90,404	US	true	34.032849	-118.468288	America/Los_Angeles	(310) 26-***	4	OPERATIONAL	true	true	null	true	Santa Monica	California	US	https	https://lepetitchezmimi.restaurant	lepetitchezmimi.restaurant	lepetitchezmimi.restaurant	restaurant	null	null	null	null	null	null	0	0	0	Charming, family-run bistro serving homestyle French country fare in an unfussy, compact space.	true	true	4.48	237	{"1": 5, "2": 11, "3": 10, "4": 50, "5": 162}	Outdoor seating, Delivery, Takeout, Dine-in	Great coffee, Great dessert, Great wine list	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Coffee, Comfort food, Wine	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Romantic	null	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	null	false	true	purchase_dataset@	true	true	2	2024-09-10	2025-09-29	576	192	22	576	576	192	192	https://www.instagram.com/le_petit_chez_mimi	le_petit_chez_mimi	https://www.facebook.com/chezmimirestaurant	chezmimirestaurant	null	null	null	null	null	null	null	null	null	null	null	null	null	null	450	9.41	null	null	null	6.44	11	null	null	null	null	null	null	null	null	null	null	null	2026-04-07T15:31:41.187151+00:00	0.48	0.18	1.2	14,724.2	273.8	48.2561	0.14	89.6	79.2	89	0.588	null	-0.6819	0.2359	0.5088	0.376	0.878	0.7064	15.9	75.4	null	null	null	0	100	0	57.14	42.86	0	82.35	17.65	0	stable	declining	null	-59.5	-1.1907	-78.9	0	2	7	17	-42.9	-52.9	-100	69.6	37.4	68	83	31.4	100	229	331	371	40,355	56,079	59,093	359,278	544,546	564,625	384,604	229	579,683	75	631,748	145,776	101	121,218	224,741	101	110,805	130	496	1,054	88,936	166,461	734,279	1,460,619	734,279	0.6835	0.1041	0.508	-0.1041	-1.1899	0.2319	-0.0081	0.2049	0.0081	-0.8868	0.7057	0.1394	0.5459	-0.1394	-1.2278	100	74	100	579,683	497,179	631,748	0.2193	0.3271	0.1535	0.3725	0.376	37.3	0.48	251	12.1	0.4496	14.8	2.13	-12	38.9	0.1384	145,776	418,414	121,218	0.8026	0.4423	0.8399	0.4004	0.878	51.7	0.72	1,464	11.5	0.6977	0.4	1.89	-1,225	39.5	-0.1097	224,741	369,611	110,805	0.6933	Below Average	0.5016	0.8523	0.4578	0.7064	Strong	51.7	0.86	1,840	13	Strong	0.6785	0.4	1.75	-1,601	38	-0.0905	75	101	101	773	183	competitive	0.0127	23.55	56.8	36.5	6.8	3,064	1,119	competitive	0.0016	1.27	1	81	18	7,177	5,012	competitive	0.0013	0.32	4	75	21	0.13	0.4912	-0.13	-1.1731	100	101	84	97	472	0.8475	0.824	0.1434	0.8675	0.4991	51.3	0.7	1,253	12.6	0.6879	0.8	1.91	-1,014	38.4	-0.0999	competitive	0.0019	2.25	2	79	19	0.6292	0.14	5.51	0.1878	0.7267	-0.1878	-1.4086	100	101	13,747	18,201	73,531	0.8653	0.822	0.2852	0.9224	0.4624	55.3	1.28	3,641	13.2	0.8696	-3.2	1.33	-3,402	37.8	-0.2816	competitive	0.0007	0.0002	1.28	0.01	0.6783	0.059	0.2307	-0.059	-0.9126	791,801	41.1	0.94	531	20.4	0.4595	11	1.67	-292	0.1285	0.8046	0.7371	0.5142	0.8805	0.5779	153,195	0.6973	30.6	207,022	383,931	44.5	8.8	46.7	791,802	460	51.6	4.21	399	13.9	0.4924	14	0.38	-162	0.2437	0.7298	0.5011	0.5359	0.9325	0.8017	124	57	35.77	0.9303	460	10.74	931	2,093	1.3458	13,457.82	0.03	395,382	93	0.0092	92.08	1.61	133.33	0.03	99.01	0.02	99.01	0.04	99.01	0	99.01	-18.3	-1.87	2	-38	10	null	null	null	null	null	-0.03	53,025	-0.061	0.23	579,682	0.219	-0.17	80,929	-0.106	0.71	145,769	0.803	-0.08	38,213	-0.045	0.68	224,726	0.693	0.07	-172	0.314	0.63	84	0.848	0.09	-26,564	0.267	0.68	13,747	0.865	0.588	null	null	237	0.03	1	0	0.381	stable	0.03	0.23	1	1	3	16	0.507	0.515	0.517	0	0.381	253,363	266,224	265,236	2	59	stable	0	null	67.51

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All Restaurants in Santa Monica, California, US

Free sample dataset from BeamStation

This dataset provides a complete export of every restaurant operating in Santa Monica, California, United States. It contains 489 records, each representing a distinct establishment with all available profile columns filled out. The data is refreshed on a weekly basis, ensuring that users have access to the most current information about the local dining scene. Researchers, market analysts, food‑service developers, and city planners can use this collection to study market saturation, track openings and closures, evaluate cuisine diversity, or support location‑based decision making. Because the file includes every column offered by the source, users can perform detailed filtering, join with other geographic or demographic datasets, or build visualizations without needing to supplement missing fields. Access the dataset directly via the provided URL to download the latest version and integrate it into your workflow.

Dataset Details

Field	Value
Full dataset	489 records
Sample size	48 records
Location	Santa Monica
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/all-restaurants-in-santa-monica-california-us-103508")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 489 records and unmasked contact data is available at:

All Restaurants in Santa Monica, California, US on BeamStation

License

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

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