Datasets:

beamstation
/

all-restaurants-in-thousand-oaks-california-us-165923

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github float64	social_username_github float64	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest float64	social_username_pinterest float64	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	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
AKWESHWG	Honey & Herb - Belgian Waffle House	Food and Drink	Restaurants	Breakfast restaurant	Breakfast restaurant, Brunch restaurant	765 Wendy Dr, Newbury Park, CA 91320	765 Wendy Dr	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.188483	-118.941479	America/Los_Angeles	(805) 37-***	2	null	true	Thousand Oaks	California	US	https	https://honey-and-herb.com	honey-and-herb.com	honey-and-herb.com	com	959	2023-08-15	2026-08-15	Key-Systems GmbH	purchase_dataset@gmail.com, purchase_dataset@honey-and-herb.com	realdomain	2	2	0	null	4.53	261	{"1": 12, "2": 6, "3": 9, "4": 29, "5": 202}	Outdoor seating, Delivery, Takeout, Dine-in	Fast service, Great coffee, Serves local specialty	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Coffee, Quick bite, Vegan options, Vegetarian options, Wine	Breakfast, Brunch, Lunch, Catering, Dessert, Seating, Table service	Restroom	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/honeyandherbs.20	honeyandherbs.20	https://www.facebook.com/honeyherbnaturalgoodsllc	honeyherbnaturalgoodsllc	https://twitter.com/theventriloque	theventriloque	https://www.tiktok.com/@honeyandherbs.co	honeyandherbs.co	https://www.linkedin.com/in/jessica-schultz-71a30164	jessica-schultz-71a30164	null	null	null	null	null	null	null	null	728	0.85	null	0.68	0.68	0.88	108	null	null	null	null	9	2	37	2.91	null	null	null	2.91	https://honey-and-herb.com/day-time-menu	https://google.com/maps/reserve/v/dine/c/cybwox_t1ua?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/cybwox_t1ua?source=pa&opi=79508299	2026-03-31T03:40:44.593612+00:00	0.57	4.63	0.4	4,796	120.2	114.1243	0.14	90.6	80.6	88.5	0.77	null	0.499	0.6793	0.7664	0.5515	0.6177	0.4237	75	88.3	null	null	null	73.68	21.05	5.26	83.33	13.89	2.78	87.33	9.33	3.33	stable	declining	null	-13.3	-0.2674	-15.1	0	38	72	150	80.3	74.5	80	67	80	60	117	135	144	38,434	48,054	56,014	344,599	480,742	538,799	370,019	117	125,618	16	381,978	534,830	48	677,351	507,047	101	582,106	70	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3243	0.3242	0.5195	-0.3242	-0.0076	0.6362	0.3	0.3576	-0.3	0.1543	0.3189	0.328	0.4301	-0.328	0.0818	100	15	47	125,618	331,221	381,978	0.8255	0.5401	0.4801	0.4064	0.5515	69.9	4.04	413	75.8	0.4993	11.2	0.49	-152	12.7	0.2707	534,830	288,767	677,351	0.2811	0.5942	0.0941	0.6065	0.6177	68.5	4.3	320	82.3	0.6048	12.6	0.23	-59	6.2	0.1652	507,047	394,533	582,106	0.3128	Average	0.4495	0.2144	0.4741	0.4237	Below Average	73.3	4.32	502	83.1	Below Average	0.6076	7.8	0.21	-241	5.4	0.1624	16	48	101	417	14	competitive	0.0404	4.77	6.7	93.3	0	2,556	1,163	competitive	0.0171	0.6	0	17	72.3	10.6	7,713	5,198	competitive	0.0052	0.32	3	79	18	0.38	0.5369	-0.38	-0.025	100	101	27	92	133	0.8962	0.6423	0.4923	0.6346	0.7423	76.8	4.4	592	85.3	0.6635	4.3	0.13	-331	3.2	0.1065	competitive	0.0044	0.7	65	35	0.6988	0.14	6.05	0.2639	0.8314	-0.2639	-0.3195	100	101	4,805	29,868	45,286	0.9508	0.6966	0.5527	0.7392	0.8504	84.9	4.77	1,901	95.1	0.8432	-3.8	-0.24	-1,640	-6.6	-0.0732	competitive	0.0014	0.0002	1	0.02	0.7551	0.2094	0.3682	-0.2094	0.1437	828,388	62.9	3.88	394	76.6	0.4737	18.2	0.65	-133	0.2963	0.9451	0.6587	0.5239	0.7259	0.8262	43,924	0.7329	11.9	275,911	393,681	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	11.4	0.16	-91	0.1518	0.8947	0.6316	0.5263	0.6421	0.7368	20	76.46	15.17	0.7789	191	7.88	1,270	885	0.466	4,660.38	0.03	395,382	93	0.0048	48.07	16.31	625	2.91	208.33	0.27	99.01	0.19	99.01	0.02	99.01	3.2	-0.01	7	-0.1	22	null	null	null	null	null	-0.02	11,378	-0.016	0.64	125,617	0.826	-0.01	-6,589	0.009	0.32	534,828	0.281	0.01	-24,251	0.033	0.32	507,045	0.313	0.28	-481,655	0.486	0.7	27	0.896	0.1	-190,916	0.31	0.76	4,805	0.951	0.77	0	0	261	0.93	28	1	0.962	accelerating	0.93	6.53	28	28	54	169	0.978	0.979	0.979	1	0.962	19,246	19,971	19,959	1	41	accelerating	-0.3	null	91.63
45ZGP7W8	Vegan Thyme	Food and Drink	Restaurants	Vegan restaurant	Vegan restaurant	2247 Michael Dr, Thousand Oaks, CA 91320	2247 Michael Dr	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.182436	-118.925976	America/Los_Angeles	(805) 71-***	2	null	true	Thousand Oaks	California	US	https	https://veganthymecafe.com	veganthymecafe.com	veganthymecafe.com	com	2,581	2019-03-07	2027-03-07	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	null	4.76	196	{"1": 4, "2": 4, "3": 5, "4": 10, "5": 173}	No-contact delivery, Delivery, 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, Healthy options, Quick bite, Small plates, Vegan options, Vege(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet, Trendy	Family-friendly, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	purchase_dataset@	true	true	3	https://www.instagram.com/veganthymecafe	veganthymecafe	https://www.facebook.com/veganthyme	veganthyme	null	null	https://www.tiktok.com/@veganthymecafe	veganthymecafe	null	null	null	null	null	null	null	null	null	null	3,022	1.42	null	1.4	1.43	1.43	246	null	null	null	null	1,124	41	2,129	5.43	4.54	5.56	5.1	5.18	https://veganthymecafe.com/menu	null	null	2026-03-29T20:41:28.370471+00:00	2.38	0.33	0.2	4,918.84	200.3	114.1243	0.14	95.2	76.5	93.4	0.71	null	1	0.7452	0.7857	0.8888	0.3907	0.5962	100	89.3	null	null	null	100	0	0	90.91	9.09	0	95.83	4.17	0	stable	improving	null	10.7	0.2143	12	0	3	11	24	77.4	42.8	76	67	87.5	58	132	41	165	44,233	22,586	65,845	388,290	245,783	621,896	417,214	132	149,821	23	565,914	528,686	72	577,184	493,312	101	604,957	15	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3517	0.3033	0.5083	-0.3033	0.4917	0.625	0.3712	0.4834	-0.3712	0.5166	0.258	0.2817	0.3937	-0.2817	0.6063	100	22	71	149,821	143,867	565,914	0.7919	0.7962	0.2312	0.7773	0.8888	69.2	4.3	285	82.6	0.6314	8.8	0.46	-89	10.8	0.0621	528,686	554,986	577,184	0.2894	0.2468	0.2274	0.3686	0.3907	68.7	4.09	453	79	0.5451	9.3	0.67	-257	14.4	0.1484	493,312	319,725	604,957	0.331	Average	0.5476	0.1836	0.5868	0.5962	Below Average	73.8	4.37	451	84.6	Below Average	0.6527	4.2	0.39	-255	8.8	0.0408	23	72	101	423	69	competitive	0.0303	7	13.6	68.2	18.2	3,174	1,067	competitive	0.0061	0.9	2.8	15.5	69	12.7	8,130	5,159	competitive	0.0043	0.32	3	77	20	0.38	0.532	-0.38	0.468	100	101	62	25	151	0.7654	0.9	0.4154	0.8654	0.5692	76.8	4.39	592	85.2	0.6642	1.2	0.37	-396	8.2	0.0293	competitive	0.0033	0.7	64	36	0.7008	0.14	6.05	0.2639	0.8282	-0.2639	0.1718	100	101	12,240	15,972	50,963	0.8767	0.8388	0.4966	0.876	0.7187	85	4.78	1,889	95.1	0.8453	-7	-0.02	-1,693	-1.7	-0.1518	competitive	0.001	0.0002	1	0.02	0.7513	0.2094	0.3682	-0.2094	0.6318	828,388	62.9	3.88	394	76.6	0.4737	15.1	0.88	-198	0.2198	0.8724	0.8124	0.4627	0.86	0.7134	103,463	0.7315	16.8	151,656	444,296	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	8.3	0.39	-156	0.0753	0.7421	0.9	0.4474	0.8632	0.5368	50	76.46	-21.82	0.1421	191	7.88	1,270	885	0.4666	4,665.5	0.03	395,382	93	0.0048	47.77	9.17	434.78	0.37	138.89	0.19	99.01	0.11	99.01	0.01	99.01	-0.1	0.01	1	0.1	-4.2	null	null	null	null	null	0.04	-74,206	0.102	0.63	149,820	0.792	-0.02	4,800	-0.006	0.26	528,685	0.289	0.02	-36,708	0.049	0.35	493,311	0.331	0.28	-481,620	0.356	0.7	62	0.765	0.08	-183,481	0.236	0.75	12,240	0.877	0.6935	null	null	196	0.07	2	0	0.376	stable	0.07	0.47	2	2	7	26	0.439	0.452	0.454	0	0.376	417,455	437,538	435,431	1	159	stable	0	null	54.64
HTW73XGG	Love Pho Cafe	Food and Drink	Restaurants	Vietnamese restaurant	Vietnamese restaurant, Pho restaurant	2140 Newbury Rd, Newbury Park, CA 91320	2140 Newbury Rd	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.181525	-118.924149	America/Los_Angeles	(805) 26-***	2	null	true	Thousand Oaks	California	US	http	http://lovephocafe.com	lovephocafe.com	lovephocafe.com	com	3,610	2016-05-12	2026-05-12	GoDaddy.com, LLC	null	null	0	0	0	null	4.46	538	{"1": 16, "2": 12, "3": 38, "4": 121, "5": 379}	Outdoor seating, Takeout, Dine-in	Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Vegetarian options	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Trendy	College students, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/lovepho805	lovepho805	https://www.facebook.com/lovepho805	lovepho805	https://twitter.com/mchun1	mchun1	https://www.tiktok.com/@lovecafe.ph	lovecafe.ph	https://www.linkedin.com/in/jonathan-nguyen-5107b1228	jonathan-nguyen-5107b1228	null	null	null	null	null	null	null	null	634	4.46	null	null	null	null	8	null	null	null	null	49	2	33	1.83	null	null	null	null	null	null	null	2026-03-29T18:00:30.295564+00:00	0.5	0.5	0.4	4,845.44	120.1	114.1243	0.14	89.2	91.1	88.1	0.7203	null	0.5	0.7127	0.6462	0.8953	0.3918	0.6335	75	82.3	null	null	null	75	25	0	86.67	13.33	0	83.87	16.13	0	stable	declining	null	-7.3	-0.1462	-8.9	0	4	15	31	78.3	60.1	92	50	79.8	58	56	173	66	21,967	58,503	30,628	217,780	563,957	318,657	233,658	56	135,402	24	539,607	528,686	73	584,848	484,631	101	610,050	94	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3607	0.3108	0.5158	-0.3108	-0.0158	0.6515	0.3551	0.5058	-0.3551	-0.0058	0.255	0.2778	0.4064	-0.2778	0.0936	100	23	72	135,402	124,082	539,607	0.8117	0.823	0.2665	0.8055	0.8953	69.6	4.33	305	83.2	0.6356	9.4	0.13	233	4.9	0.0817	528,686	554,986	584,848	0.2894	0.2468	0.2173	0.3686	0.3918	68.7	4.09	444	79	0.5454	10.3	0.37	94	9.1	0.1719	484,631	303,373	610,050	0.3426	Strong	0.5689	0.1767	0.6177	0.6335	Below Average	74.1	4.38	440	85	Below Average	0.6614	4.9	0.08	98	3.1	0.0559	24	73	101	438	87	competitive	0.0712	7.32	13	69.6	17.4	3,204	1,232	competitive	0.0166	0.92	2.8	15.3	69.4	12.5	8,152	5,016	competitive	0.0121	0.32	2	76	22	0.38	0.537	-0.38	-0.037	100	101	52	122	64	0.8038	0.5308	0.7577	0.6077	0.6115	76.8	4.4	589	85.3	0.664	2.2	0.06	-51	2.8	0.0533	competitive	0.0091	0.7	64	36	0.7081	0.14	6.05	0.2639	0.8338	-0.2639	-0.3338	100	101	9,332	37,827	25,164	0.9057	0.6172	0.7515	0.7215	0.761	84.9	4.78	1,886	95.2	0.8452	-5.9	-0.32	-1,348	-7.1	-0.1279	competitive	0.0028	0.0002	1	0.02	0.7729	0.2094	0.3682	-0.2094	0.1318	828,388	62.9	3.88	394	76.6	0.4737	16.1	0.58	144	0.2436	0.8987	0.5965	0.6998	0.7138	0.7495	81,889	0.7483	11.5	327,240	248,285	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	9.3	0.09	186	0.0991	0.7895	0.5158	0.7842	0.6105	0.5947	41	76.46	14.38	0.7158	191	7.88	1,270	885	0.4639	4,638.56	0.03	395,382	93	0.0048	47.71	50.71	416.67	2.74	136.99	1.46	99.01	0.82	99.01	0.08	99.01	1	0	3	0.1	-10.1	null	null	null	null	null	0.04	-76,182	0.105	0.65	135,401	0.812	-0.01	461	0	0.26	528,685	0.289	0.02	-41,306	0.056	0.36	484,630	0.343	0.29	-481,630	0.394	0.71	52	0.804	0.09	-186,389	0.265	0.77	9,332	0.906	0.7173	null	null	538	0.1	3	1	0.546	accelerating	0.1	0.7	3	3	7	35	0.557	0.57	0.571	1	0.546	331,227	345,950	344,596	1	473	accelerating	0.03	null	90.84
7AF8NJ9U	Sumo Japanese Restaurant	Food and Drink	Restaurants	Japanese restaurant	Japanese restaurant, Asian restaurant, Restaurant, Sushi restaurant	1714 Newbury Rd C, Newbury Park, CA 91320	1714 Newbury Rd C	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.183597	-118.918254	America/Los_Angeles	(805) 49-***	2	null	true	Thousand Oaks	California	US	https	https://sumojapaneserestaurants.com	sumojapaneserestaurants.com	sumojapaneserestaurants.com	com	2,094	2020-07-06	2030-07-06	GoDaddy.com, LLC	null	null	0	0	0	"Original rolls & other Japanese eats presented in a warm, contemporary space with sushi bar seating(...TRUNCATED)	4.48	877	{"1": 37, "2": 23, "3": 49, "4": 182, "5": 693}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great tea selection, Rooftop seating	Lunch, Dinner, Solo dining	Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Happy hour drinks, Happy hour food, Hard liquor, Healthy options, Late-ni(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists	Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	3	null	null	https://www.facebook.com/sumonewburypark	sumonewburypark	null	null	https://www.tiktok.com/@sumosushi_np.official	sumosushi_np.official	https://www.linkedin.com/in/haerim-hwang-aaa7b210a	haerim-hwang-aaa7b210a	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	11	7	78	1.42	null	null	null	null	https://sumojapaneserestaurants.com/newburypark	null	null	2026-03-28T20:14:17.307822+00:00	0.01	0.5	1.3	4,677.35	200.7	114.1243	0.14	89.6	98.1	88	0.7398	null	-0.0679	0.2262	0.4615	0.8745	0.4352	0.5971	46.6	73.1	null	null	null	50	50	0	64	36	0	75	25	0	stable	declining	null	-26.5	-0.5294	-36.3	0	6	25	44	71.2	35.1	64	67	60	58	19	160	20	10,753	55,370	14,472	121,770	539,138	169,712	131,685	19	103,617	28	503,382	534,830	82	603,654	496,085	101	617,499	84	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3515	0.3158	0.4891	-0.3158	-0.557	0.6786	0.3951	0.466	-0.3951	-0.5339	0.2631	0.2716	0.474	-0.2716	-0.5419	100	27	81	103,617	137,108	503,382	0.8561	0.805	0.3157	0.7773	0.8745	70.7	4.31	331	82.6	0.6226	1.2	0.17	546	5.4	0.1172	534,830	505,426	603,654	0.2811	0.3099	0.1923	0.4551	0.4352	68.5	4.14	422	80.2	0.5574	3.4	0.34	455	7.8	0.1824	496,085	303,373	617,499	0.3271	Strong	0.5689	0.1666	0.6025	0.5971	Below Average	73.7	4.38	425	84.8	Below Average	0.6529	-1.8	0.1	452	3.2	0.0869	28	82	101	567	12	competitive	0.0893	8.59	11.1	70.4	18.5	3,373	1,006	competitive	0.025	1.03	2.5	16	69.1	12.3	7,947	5,012	competitive	0.0202	0.32	4	76	20	0.38	0.5427	-0.38	-0.6106	100	101	130	109	22	0.5038	0.5577	0.9192	0.6038	0.6923	76.9	4.4	586	85.3	0.6638	-5	0.08	291	2.7	0.076	competitive	0.0148	0.7	64	36	0.6446	0.14	6.06	0.2739	0.8349	-0.2739	-0.9028	100	101	31,079	35,841	12,262	0.6903	0.6366	0.8789	0.714	0.7938	85.1	4.78	1,881	95.3	0.8488	-13.2	-0.3	-1,004	-7.3	-0.109	competitive	0.0046	0.0002	1	0.02	0.7308	0.2094	0.3682	-0.2094	-0.4361	828,388	62.9	3.88	394	76.6	0.4737	9	0.6	483	0.2661	0.6914	0.6135	0.831	0.7105	0.7827	252,981	0.7099	11.4	313,048	139,738	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	2.2	0.11	525	0.1216	0.4842	0.5421	0.9263	0.6053	0.6842	99	76.46	14.92	0.7526	191	7.88	1,270	885	0.4612	4,611.86	0.03	395,382	93	0.0048	47.57	79.66	357.14	6.26	121.95	4.09	99.01	2.18	99.01	0.22	99.01	-6	0	3	-0.1	-48.2	null	null	null	null	null	0.03	-49,824	0.069	0.68	103,616	0.856	0.02	-22,359	0.031	0.26	534,828	0.281	0.03	-36,468	0.049	0.35	496,082	0.327	0.22	-481,552	0.094	0.64	130	0.504	0.04	-164,642	0.049	0.73	31,079	0.69	0.7398	null	null	877	0.1	3	0.25	0.51	decelerating	0.1	0.7	3	3	17	52	0.557	0.57	0.571	0.25	0.51	331,227	345,950	344,596	4	689	decelerating	-0.07	null	91.38
LAX45SMB	Patrón Mexican Bar & Grill	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Family restaurant, Restaurant	1620 Newbury Rd # 2, Newbury Park, CA 91320	1620 Newbury Rd # 2	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.183319	-118.915911	America/Los_Angeles	(805) 49-***	2	null	true	Thousand Oaks	California	US	https	https://newburypark.patronmex.com	newburypark.patronmex.com	newburypark.patronmex.com	com	3,429	2016-11-09	2026-11-09	GoDaddy.com, LLC	null	null	0	0	0	null	4.35	449	{"1": 19, "2": 15, "3": 37, "4": 95, "5": 284}	Outdoor seating, Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Serves local specialty	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, La(...TRUNCATED)	Breakfast, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	3	https://www.instagram.com/patronbargrill	patronbargrill	https://www.facebook.com/patronmexbargrill	patronmexbargrill	https://twitter.com/patronmexgrill	patronmexgrill	null	null	null	null	null	null	null	null	null	null	null	null	25	23.67	null	null	null	null	12	null	null	null	null	null	null	null	null	null	null	null	null	https://newburypark.patronmex.com/menu/all-categories	null	null	2026-03-28T19:29:02.638664+00:00	0.02	0.33	1.5	5,745.18	200.9	114.1243	0.14	87	88.4	84.2	0.6768	1	0.573	0.7743	0.6414	0.8985	0.4621	0.5767	78.6	82.1	100	0	0	75	25	0	91.67	8.33	0	86.21	13.79	0	improving	declining	0.427	-3.5	-0.0684	-4.3	1	4	12	29	71.6	32.8	76	50	82.2	58	68	215	79	26,188	75,326	37,033	251,369	690,728	375,334	270,097	68	75,569	24	434,316	528,686	93	604,442	501,715	101	616,987	119	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3423	0.3133	0.499	0.6867	0.074	0.7303	0.3986	0.5182	0.6014	0.0548	0.275	0.2663	0.4488	0.7337	0.1242	100	23	92	75,569	117,995	434,316	0.8951	0.8318	0.4091	0.8186	0.8985	72	4.34	378	83.5	0.6377	0.3	0.01	71	0.7	0.0385	528,686	482,489	604,442	0.2894	0.3395	0.1911	0.4699	0.4621	68.7	4.16	421	80.4	0.5647	3.6	0.19	28	3.8	0.1115	501,715	319,725	616,987	0.3197	Strong	0.5476	0.1673	0.5791	0.5767	Below Average	73.5	4.37	426	84.5	Below Average	0.648	-1.2	-0.02	23	-0.3	0.0282	24	93	101	557	86	competitive	0.0491	7.32	8.7	69.6	21.7	3,320	1,178	competitive	0.0115	1.17	2.2	15.2	69.6	13	8,089	5,340	competitive	0.0104	0.32	4	75	21	0.37	0.5363	0.63	0.0367	100	101	119	153	78	0.5346	0.4	0.7038	0.4423	0.5269	76.9	4.4	590	85.3	0.6644	-4.6	-0.05	-141	-1.1	0.0118	competitive	0.0076	0.7	64	36	0.545	0.14	6.06	0.2639	0.8328	0.7361	-0.2598	100	101	29,477	49,431	30,015	0.7063	0.5025	0.7036	0.5757	0.6872	85	4.78	1,888	95.2	0.8459	-12.7	-0.43	-1,439	-11	-0.1697	competitive	0.0024	0.0002	1	0.02	0.6444	0.2094	0.3682	0.7906	0.2048	828,388	62.9	3.88	394	76.6	0.4737	9.4	0.47	55	0.2025	0.7039	0.5011	0.6529	0.5893	0.6876	242,659	0.6278	7.6	406,572	287,101	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	2.6	-0.02	97	0.058	0.5158	0.3842	0.7316	0.4263	0.4947	93	76.46	13.92	0.6842	191	7.88	1,270	885	0.4646	4,645.57	0.03	395,382	93	0.0048	47.75	24.15	416.67	1.31	107.53	1.09	99.01	0.57	99.01	0.06	99.01	-3.6	0	2	0.1	-32.9	null	null	null	null	null	0.02	-49,809	0.069	0.73	75,566	0.895	0.02	-16,995	0.024	0.28	528,679	0.289	0.02	-32,132	0.043	0.34	501,705	0.32	0.12	-481,563	0.125	0.55	119	0.535	-0.04	-166,244	0.065	0.64	29,477	0.706	0.6762	100	0	449	0.07	2	0.214	0.423	decelerating	0.07	0.47	2	2	8	30	0.439	0.452	0.454	0.214	0.423	417,455	437,538	435,431	9	4,134	decelerating	-0.03	null	90.38
JQJY3X6B	Islands	Food and Drink	Restaurants	American restaurant	American restaurant, Bar & grill, Family restaurant, Hamburger restaurant	935 Broadbeck Dr, Thousand Oaks, CA 91320	935 Broadbeck Dr	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.19131	-118.937836	America/Los_Angeles	(805) 49-***	2	null	true	Thousand Oaks	California	US	https	https://islandsrestaurants.com/locations/newbury-park	islandsrestaurants.com/locations/newbury-park	islandsrestaurants.com	com	10,256	1998-03-02	2027-03-01	Network Solutions, LLC	"purchase_dataset@islandsrestaurants.com, purchase_dataset@islandsrestaurants.com, purchase_dataset@(...TRUNCATED)	realdomain	25	23	2	Beachy gourmet burger chain also serving beer & tropical drinks in laid-back surroundings.	4.27	845	{"1": 30, "2": 32, "3": 104, "4": 263, "5": 512}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, 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, La(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/islandsburgers	islandsburgers	https://www.facebook.com/islandsrestaurants	islandsrestaurants	https://twitter.com/islandsburgers	islandsburgers	https://www.tiktok.com/@islandsburgers	islandsburgers	https://www.linkedin.com/company/islands-restaurants	islands-restaurants	null	null	null	null	null	null	null	null	35,076	0.42	null	0.3	0.42	0.42	2,602	null	null	null	null	13,400	268	148,600	5.14	3.55	1.99	2.4	2.33	https://islandsrestaurants.com/menu	null	null	2026-03-28T18:46:33.981238+00:00	27.62	0	0	4,851.56	120.2	114.1243	0.14	85.4	97.6	82.4	0.6352	null	1	0.7026	0.6206	0.6713	0.6129	0.4348	100	81	null	null	null	100	0	0	83.33	12.5	4.17	80	16.92	3.08	stable	improving	null	19	0.3794	23.5	0	2	24	65	75.5	9.5	92	83	96.6	58	22	243	24	11,499	86,632	15,490	128,966	774,460	180,082	139,291	22	89,596	18	434,316	525,572	49	613,252	514,552	101	607,189	137	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3102	0.3267	0.5263	-0.3267	0.307	0.6578	0.3235	0.4039	-0.3235	0.4294	0.3437	0.3003	0.4142	-0.3003	0.4191	100	17	48	89,596	275,368	434,316	0.8756	0.6161	0.4091	0.5273	0.6713	71.3	4.11	378	77.9	0.536	4	0.16	467	4.5	0.0923	525,572	303,644	613,252	0.2935	0.5747	0.1795	0.5995	0.6129	68.8	4.29	410	82.2	0.6036	6.5	-0.02	435	0.2	0.0247	514,552	394,533	607,189	0.303	Strong	0.4495	0.1806	0.4673	0.4348	Below Average	73	4.32	446	83	Below Average	0.6108	2.3	-0.05	399	-0.6	0.0175	18	49	101	360	18	competitive	0.1163	5.41	5.9	88.2	5.9	2,671	1,208	competitive	0.0412	0.61	0	16.7	70.8	12.5	7,584	5,103	competitive	0.0186	0.32	3	79	18	0.38	0.5337	-0.38	0.2996	100	101	87	174	25	0.6692	0.3231	0.9077	0.3808	0.4115	76.8	4.4	586	85.3	0.6649	-1.5	-0.13	259	-2.9	-0.0366	competitive	0.0142	0.7	64	36	0.6369	0.14	6.05	0.2639	0.8314	-0.2639	0.0019	100	101	19,696	56,543	13,652	0.8025	0.4337	0.8651	0.5158	0.6107	84.9	4.77	1,901	95.1	0.8432	-9.6	-0.5	-1,056	-12.7	-0.2149	competitive	0.0044	0.0002	1	0.02	0.7106	0.2094	0.3682	-0.2094	0.4651	828,388	62.9	3.88	394	76.6	0.4737	12.4	0.39	451	0.1546	0.7954	0.4364	0.8213	0.5359	0.6186	167,095	0.6955	5.8	460,497	147,738	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	5.6	-0.1	493	0.0101	0.6526	0.2895	0.9158	0.3526	0.3842	67	76.46	11	0.5526	191	7.88	1,270	885	0.4614	4,614.38	0.03	395,382	93	0.0048	48.07	135.17	555.56	16.99	204.08	3.46	99.01	2.02	99.01	0.2	99.01	-9.2	0	0	0	-72.9	null	null	null	null	null	0	-32,917	0.046	0.66	89,595	0.876	-0.02	1,686	-0.002	0.34	525,570	0.294	0.02	-23,049	0.032	0.31	514,549	0.303	0.22	-484,563	0.264	0.64	87	0.669	0.06	-176,025	0.161	0.71	19,696	0.803	0.6283	null	null	845	0	0	0	0	decelerating	0.07	0.47	2	2	22	76	0.369	0.381	0.383	0.364	0.249	553,450	582,366	579,993	7	1,358	decelerating	-0.23	-0.73	87.46
B32GA8QE	The Alamo Mexican Grill and Cantina	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	2311 Borchard Rd, Thousand Oaks, CA 91320	2311 Borchard Rd	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.182345	-118.928758	America/Los_Angeles	(805) 49-***	2	null	true	Thousand Oaks	California	US	https	https://alamo-rest.com	alamo-rest.com	alamo-rest.com	com	2,118	2020-06-12	2026-06-12	Squarespace Domains II LLC	purchase_dataset@gmail.com	null	1	1	0	null	4.01	102	{"1": 12, "2": 2, "3": 12, "4": 22, "5": 55}	Outdoor seating, Delivery, Takeout, Dine-in	Fast service, Fireplace, 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, Hard liquor, Healthy options, Pr(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy	Family-friendly, Groups, LGBTQ+ friendly	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	6	https://www.instagram.com/thealamogrill	thealamogrill	https://www.facebook.com/p/alamo-restaurant-group-61561144251918	alamo-restaurant-group-61561144251918	https://twitter.com/alamo	alamo	https://www.tiktok.com/@alamo.restaurant	alamo.restaurant	https://www.linkedin.com/company/alamo-restaurant-group	alamo-restaurant-group	https://www.youtube.com/c/alamorentacar	alamorentacar	null	null	null	null	null	null	1,500	1.53	null	1.91	1.61	1.53	79	null	null	null	null	63	2	122	1.17	null	null	null	null	null	https://tmt.spotapps.co/reservations?spot_id=377419&source=google	https://tmt.spotapps.co/reservations?spot_id=377419&source=google	2026-03-28T18:45:20.169182+00:00	1.18	1.16	0.7	4,723.53	100.7	114.1243	0.14	80.2	67.1	74.5	0.4675	0.5	0.2741	0.2265	0.5047	0.9184	0.4762	0.5267	63.7	75.2	100	0	0	63.64	27.27	9.09	65.22	30.43	4.35	76.74	18.6	4.65	improving	declining	0.2259	-11.5	-0.2306	-15.3	1	11	23	43	70.3	50.5	88	67	69.3	58	179	315	243	55,168	114,641	86,858	467,651	990,004	794,927	503,237	179	101,201	22	563,291	509,933	66	555,228	498,979	101	614,477	168	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3449	0.3433	0.5019	0.1567	-0.2278	0.6711	0.3175	0.5582	0.1825	-0.2841	0.2958	0.2692	0.402	0.2308	-0.1279	100	21	65	101,201	99,951	563,291	0.8595	0.8564	0.2346	0.8596	0.9184	70.8	4.37	287	84.5	0.6518	0.2	-0.36	-185	-10	-0.1864	509,933	505,426	555,228	0.3144	0.3099	0.2568	0.3897	0.4762	69.3	4.14	479	79.3	0.5683	1.7	-0.13	-377	-4.8	-0.1029	498,979	319,725	614,477	0.3234	Strong	0.5476	0.1707	0.5791	0.5267	Below Average	73.6	4.37	431	84.5	Below Average	0.6357	-2.6	-0.36	-329	-10	-0.1703	22	66	101	514	30	competitive	0.0167	6.68	9.5	76.2	14.3	3,063	1,048	competitive	0.0033	0.83	1.5	15.4	67.7	15.4	8,085	5,011	competitive	0.0024	0.32	4	77	19	0.38	0.552	0.12	-0.2779	100	101	139	217	202	0.4654	0.1692	0.2269	0.1808	0.2077	77	4.4	591	85.5	0.6678	-6	-0.39	-489	-11	-0.2024	competitive	0.0017	0.7	64	36	0.305	0.14	6.06	0.2739	0.8337	0.2261	-0.5596	100	101	33,383	76,077	62,451	0.6675	0.2455	0.383	0.3098	0.3959	84.9	4.78	1,882	95.2	0.8417	-13.9	-0.77	-1,780	-20.7	-0.3763	competitive	0.0005	0.0002	1	0.02	0.4556	0.2094	0.3682	0.2906	-0.0941	828,388	62.9	3.88	394	76.6	0.4737	8.1	0.13	-292	-0.0083	0.6633	0.2795	0.3524	0.3573	0.4253	276,274	0.4549	-2.1	593,283	535,367	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	1.3	-0.36	-250	-0.1528	0.4474	0.1211	0.2526	0.1526	0.1947	106	76.46	6.87	0.3684	191	7.88	1,270	885	0.4652	4,652.35	0.03	395,382	93	0.0048	47.61	2.78	454.55	0.11	151.52	0.06	99.01	0.03	99.01	0	99.01	2.1	0.01	4	1	14.8	null	null	null	null	null	0.04	-81,855	0.114	0.67	101,199	0.86	-0.01	4,194	-0.005	0.3	509,925	0.314	0.03	-37,442	0.05	0.34	498,967	0.323	-0.12	-481,543	0.056	0.31	139	0.465	-0.2	-162,338	0.026	0.46	33,383	0.668	0.4654	100	0	102	0.23	7	1	0.855	stable	0.23	1.63	7	7	20	52	0.816	0.822	0.822	1	0.855	142,983	148,636	148,433	1	1,067	stable	-0.07	null	83.33
JLJC5VK7	Habanero Mexican Grill USA	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	520 N Ventu Park Rd STE 110, Newbury Park, CA 91320	520 N Ventu Park Rd STE 110	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.187065	-118.909416	America/Los_Angeles	(805) 37-***	2	null	true	Thousand Oaks	California	US	https	https://habaneromexicangrills.com	habaneromexicangrills.com	habaneromexicangrills.com	com	1,490	2022-03-02	2027-03-02	GoDaddy.com, LLC	null	null	0	0	0	null	4.29	517	{"1": 29, "2": 18, "3": 46, "4": 115, "5": 316}	Outdoor seating, Curbside pickup, Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, 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, Happy hour food, Hard liquor, Healthy op(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	Family-friendly, Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/habaneromexicangrill	habaneromexicangrill	https://www.facebook.com/habanerolondonky	habanerolondonky	https://twitter.com/habaneromexgrll	habaneromexgrll	https://www.tiktok.com/@habanero_mexicangrill	habanero_mexicangrill	https://www.linkedin.com/in/charly-zawacki-5799ba15	charly-zawacki-5799ba15	null	null	null	null	null	null	null	null	1,043	10.43	null	8.29	3.97	10.43	343	null	null	null	null	5	9	10	2.37	null	null	null	2.37	https://habaneromexicangrills.com/menu	https://habamexigrill.com/contact-reservations	https://habamexigrill.com/contact-reservations	2026-03-28T17:43:04.469004+00:00	0.82	0.33	0.5	5,124.19	120.3	114.1243	0.14	85.8	90.5	82.4	0.6519	null	0.8833	0.5681	0.744	0.8347	0.5891	0.5865	94.2	87.2	null	null	null	100	0	0	81.82	18.18	0	90	10	0	stable	improving	null	7	0.1393	8	0	2	11	20	76.1	42.8	92	50	93.3	58	60	238	70	22,920	84,084	32,081	225,356	755,771	331,265	242,086	60	146,073	14	377,308	459,815	101	595,153	507,047	101	619,348	134	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3386	0.3033	0.4889	-0.3033	0.3944	0.6957	0.4231	0.3365	-0.4231	0.5468	0.3802	0.3017	0.5147	-0.3017	0.3686	100	13	100	146,073	163,351	377,308	0.7969	0.7702	0.4863	0.7187	0.8347	69.3	4.27	416	81.4	0.6002	7.5	0.02	101	1	0.0517	459,815	318,282	595,153	0.3815	0.555	0.2036	0.5921	0.5891	70.9	4.28	432	82.1	0.5972	5.9	0.01	85	0.3	0.0547	507,047	319,725	619,348	0.3128	Strong	0.5476	0.1642	0.5868	0.5865	Below Average	73.3	4.37	421	84.6	Below Average	0.6504	3.5	-0.08	96	-2.2	0.0015	14	101	101	562	21	competitive	0.0873	4.14	15.4	69.2	15.4	3,023	1,183	competitive	0.0118	1.27	0	11	74	15	7,780	5,002	competitive	0.0121	0.32	5	74	21	0.38	0.5332	-0.38	0.3501	100	101	74	171	69	0.7115	0.3462	0.7385	0.3808	0.4731	76.8	4.4	589	85.3	0.6647	0	-0.11	-72	-2.9	-0.0128	competitive	0.0087	0.7	64	36	0.61	0.14	6.05	0.2639	0.8328	-0.2639	0.0505	100	101	15,514	55,569	26,182	0.8443	0.4427	0.7414	0.512	0.6462	85	4.78	1,885	95.2	0.8456	-8.2	-0.49	-1,368	-12.8	-0.1937	competitive	0.0027	0.0002	1	0.02	0.6929	0.2094	0.3682	-0.2094	0.5151	828,388	62.9	3.88	394	76.6	0.4737	13.9	0.41	123	0.1782	0.8391	0.4515	0.689	0.5359	0.652	130,958	0.6778	5.8	447,808	257,183	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	7.1	-0.08	165	0.0337	0.6895	0.3211	0.7632	0.3526	0.4474	60	76.46	14.79	0.7421	191	7.88	1,270	885	0.464	4,640.22	0.03	395,382	93	0.0048	47.67	76.22	714.29	1.4	99.01	1.47	99.01	0.76	99.01	0.07	99.01	0.5	0	1	0	-26.5	null	null	null	null	null	0.02	-41,027	0.057	0.7	146,072	0.797	0.02	-35,859	0.049	0.38	459,809	0.382	0.01	-29,374	0.04	0.34	507,039	0.313	0.19	-481,608	0.302	0.61	74	0.712	0.01	-180,207	0.203	0.69	15,514	0.844	0.6519	null	null	517	0.07	2	0.214	0.423	stable	0.07	0.47	2	2	7	22	0.439	0.452	0.454	0.214	0.423	417,455	437,538	435,431	9	4,134	stable	0.04	null	91.25
E8UFMM8B	Daphne's	Food and Drink	Restaurants	Greek restaurant	Greek restaurant, Californian restaurant, Caterer, Mediterranean restaurant, Restaurant	1015 Broadbeck Dr Unit F (6, Thousand Oaks, CA 91320	1015 Broadbeck Dr Unit F (6	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.19232	-118.937836	America/Los_Angeles	(805) 37-***	2	null	true	Thousand Oaks	California	US	https	https://order.toasttab.com/online/daphnes-thousand-oaks-1015-broadbeck-drive	order.toasttab.com/online/daphnes-thousand-oaks-1015-broadbeck-drive	order.toasttab.com	com	5,077	2012-05-06	2026-05-06	Amazon Registrar, Inc.	null	null	0	0	0	Chain offering Greek mainstays & healthful options in a modern setting with counter service.	4.25	159	{"1": 12, "2": 7, "3": 11, "4": 24, "5": 105}	Outdoor seating, Delivery, 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, Small plates, Vegan options, Vegetarian options	Lunch, Dinner, Catering, Dessert, Seating	Restroom	Casual, Quiet	College students, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://order.toasttab.com/online/daphnes-thousand-oaks-1015-broadbeck-drive	null	null	2026-03-28T16:58:46.869512+00:00	0	0.33	6.7	4,666.13	604	114.1243	0.14	85	73.5	80.5	0.6415	null	1	0.1966	0.0553	0.6318	0.6146	0.4453	100	52.8	null	null	null	100	0	0	60	40	0	53.85	46.15	0	stable	improving	null	47.2	0.9447	89.4	0	1	5	13	67.5	57.8	0	50	96.4	58	148	255	193	48,194	89,936	72,941	417,290	798,402	680,950	448,536	148	89,596	17	345,336	534,830	48	661,958	507,047	101	590,854	142	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3207	0.3342	0.5229	-0.3342	0.4771	0.6875	0.2813	0.3562	-0.2813	0.6438	0.3192	0.328	0.4232	-0.328	0.5768	100	16	47	89,596	291,077	345,336	0.8756	0.5946	0.5297	0.4927	0.6318	71.3	4.09	437	77.3	0.5235	-3.2	0.16	-278	3.2	0.1142	534,830	303,644	661,958	0.2811	0.5747	0.1145	0.5995	0.6146	68.5	4.29	344	82.2	0.604	-0.4	-0.04	-185	-1.7	0.0337	507,047	394,533	590,854	0.3128	Strong	0.4495	0.2025	0.4809	0.4453	Below Average	73.3	4.32	482	83.2	Below Average	0.6138	-5.2	-0.07	-323	-2.7	0.0239	17	48	101	369	26	competitive	0.0222	5.09	6.3	87.5	6.3	2,589	1,056	competitive	0.0097	0.6	0	17	72.3	10.6	7,557	5,005	competitive	0.0033	0.32	3	78	19	0.37	0.5358	-0.37	0.4642	100	101	174	179	169	0.3308	0.3077	0.35	0.3115	0.4308	76.9	4.4	592	85.4	0.6654	-8.8	-0.15	-433	-4.9	-0.0277	competitive	0.0027	0.7	64	36	0.3296	0.14	6.06	0.2539	0.8297	-0.2539	0.1703	100	101	43,829	59,248	55,982	0.5645	0.4064	0.4469	0.4546	0.6216	85	4.78	1,893	95.2	0.8458	-16.9	-0.53	-1,734	-14.7	-0.2081	competitive	0.0008	0.0002	1	0.02	0.4818	0.2094	0.3682	-0.2094	0.6318	828,388	62.9	3.88	394	76.6	0.4737	5.2	0.37	-235	0.164	0.5691	0.4212	0.4229	0.4869	0.6317	354,169	0.4808	3.9	472,886	477,184	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	-1.6	-0.12	-193	0.0195	0.3105	0.2632	0.3789	0.2842	0.4	131	76.46	10.16	0.4895	191	7.88	1,270	885	0.4666	4,666.13	0.03	395,382	93	0.0048	47.88	4.95	588.24	0.95	208.33	0.11	99.01	0.07	99.01	0.01	99.01	9.6	0	1	0.1	14.8	null	null	null	null	null	-0.02	7,098	-0.01	0.69	89,595	0.876	-0.02	-2,119	0.004	0.32	534,829	0.281	0.01	-25,506	0.035	0.32	507,046	0.313	-0.09	-481,508	-0.079	0.33	174	0.331	-0.17	-151,892	-0.077	0.48	43,829	0.565	0.6377	null	null	159	0.07	2	0.5	0.27	accelerating	0.07	0.47	2	2	4	15	0.439	0.452	0.454	0.5	0.27	417,455	437,538	435,431	2	151	accelerating	0.07	null	86.62
NNGA6MVS	Spumoni Italian Restaurant	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Takeout Restaurant, Pizza delivery	1714 Newbury Rd, Newbury Park, CA 91320	1714 Newbury Rd	Thousand Oaks	California	Newbury Park	Newbury Park	91,320	US	true	34.183578	-118.918124	America/Los_Angeles	(805) 49-***	3	null	true	Thousand Oaks	California	US	http	http://spumoninewburypark.com	spumoninewburypark.com	spumoninewburypark.com	com	3,962	2015-05-26	2026-05-26	GoDaddy.com, LLC	purchase_dataset@gmail.com, purchase_dataset@pizzaporta.com	null	2	2	0	null	4.49	98	{"1": 5, "2": 1, "3": 6, "4": 15, "5": 72}	Delivery, Takeout, Dine-in	Fast service, Great dessert	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Coffee, Comfort food, Wine	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy	Groups	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/spumoninewburypark	spumoninewburypark	https://www.facebook.com/324276821111719	324276821111719	https://twitter.com/spumonicafe	spumonicafe	https://www.tiktok.com/@spumoninewburypark	spumoninewburypark	null	null	null	null	null	null	null	null	null	null	739	0.95	null	null	0.95	0.95	626	null	null	null	null	195	68	388	3.45	5.14	0.78	3.45	3.45	https://spumoninewburypark.com/menu	null	null	2026-03-28T16:24:27.707117+00:00	0.58	0	0.8	4,827.11	150.8	114.1243	0.14	89.8	66.5	87.8	0.7128	null	1	1	0.3333	0.8936	0.4286	0.5971	100	66.7	null	null	null	100	0	0	100	0	0	66.67	33.33	0	stable	improving	null	33.3	0.6667	49.9	0	3	3	6	71.7	9.5	84	67	96.6	58	180	158	246	55,658	54,913	87,874	471,200	535,400	803,619	507,114	180	77,384	26	432,835	544,047	84	609,228	496,085	101	617,499	83	250	413	87,651	163,016	724,238	1,424,284	724,238	0.3515	0.3158	0.4891	-0.3158	0.5109	0.7273	0.4267	0.4698	-0.4267	0.5302	0.2559	0.2651	0.4598	-0.2651	0.5402	100	25	83	77,384	124,082	432,835	0.8925	0.823	0.4112	0.8055	0.8936	71.9	4.33	379	83.2	0.6345	0.5	0.16	-281	4.6	0.0849	544,047	505,426	609,228	0.2688	0.3099	0.1847	0.4477	0.4286	68.2	4.14	415	80.1	0.5556	4.2	0.35	-317	7.7	0.1638	496,085	303,373	617,499	0.3271	Strong	0.5689	0.1666	0.6025	0.5971	Below Average	73.7	4.38	425	84.8	Below Average	0.6529	-1.3	0.11	-327	3	0.0665	26	84	101	534	8	competitive	0.0102	7.96	8	72	20	3,312	1,004	competitive	0.0028	1.06	2.4	16.9	68.7	12	7,938	5,002	competitive	0.0023	0.32	4	76	20	0.37	0.5358	-0.37	0.4642	100	101	118	108	204	0.55	0.5885	0.2192	0.5808	0.6231	76.9	4.4	592	85.4	0.6654	-4.5	0.09	-494	2.4	0.054	competitive	0.0017	0.7	64	36	0.4623	0.14	6.06	0.2739	0.8323	-0.2739	0.1677	100	101	28,825	34,894	63,080	0.7128	0.6467	0.3768	0.7105	0.7657	84.9	4.78	1,882	95.2	0.8447	-12.5	-0.29	-1,784	-7.4	-0.1253	competitive	0.0005	0.0002	1	0.02	0.5922	0.2094	0.3682	-0.2094	0.6318	828,388	62.9	3.88	394	76.6	0.4737	9.5	0.61	-296	0.2457	0.7071	0.6221	0.347	0.7043	0.7527	240,080	0.5735	11.2	306,364	539,869	24.3	58.7	7.7	9.2	828,389	191	69.7	4.37	352	83.4	0.6182	2.7	0.12	-254	0.1012	0.5211	0.5737	0.2421	0.5895	0.6105	91	76.46	12.32	0.6263	191	7.88	1,270	885	0.4666	4,666.13	0.03	395,382	93	0.0048	47.6	1.05	384.62	0.08	119.05	0.05	99.01	0.03	99.01	0	99.01	-0.5	0	0	0	-26.2	null	null	null	null	null	0.02	-36,856	0.052	0.73	77,382	0.893	0.02	-19,766	0.027	0.26	544,042	0.269	0.02	-33,935	0.045	0.35	496,074	0.327	0.04	-481,564	0.14	0.46	118	0.55	-0.06	-166,896	0.072	0.59	28,825	0.713	0.7194	null	null	98	0	0	0	0	decelerating	0.07	0.47	2	2	3	7	0.369	0.381	0.383	0.091	0.156	553,450	582,366	579,993	10	1,302	accelerating	0	-0.03	88.78

End of preview. Expand in Data Studio

All Restaurants in Thousand Oaks, California, US

Free sample dataset from BeamStation

The All Restaurants in Thousand Oaks, California, US dataset provides a complete export of every dining establishment recorded in the city. It contains 199 records, each representing a single restaurant profile with all available columns such as name, address, cuisine type, contact information, and any additional attributes supplied by the source. The data is refreshed on a weekly basis, ensuring that users have access to the most current listings. Researchers, market analysts, food‑delivery planners, and local business developers can use this collection to study restaurant density, analyze culinary trends, or support site‑selection decisions for new ventures. Because the dataset includes every venue within Thousand Oaks, it offers a reliable foundation for comparative studies, competitive analysis, or demographic‑linked investigations without needing to supplement with external sources. Access the dataset directly via the provided URL to download the latest weekly snapshot and integrate it into your workflow.

Dataset Details

Field	Value
Full dataset	199 records
Sample size	19 records
Location	Thousand Oaks
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (484 total)

Column List

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/all-restaurants-in-thousand-oaks-california-us-165923")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 199 records and unmasked contact data is available at:

All Restaurants in Thousand Oaks, California, US on BeamStation

License

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

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