Datasets:

beamstation
/

all-restaurants-in-aurora-colorado-us-359860

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 null	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 null	emails_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 null	social_username_twitter null	social_profile_tiktok null	social_username_tiktok null	social_profile_linkedin null	social_username_linkedin null	social_profile_youtube null	social_username_youtube null	social_profile_github null	social_username_github null	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest null	social_username_pinterest null	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers null	tiktok_video_count null	tiktok_heart_count null	tiktok_engagement_rate null	tiktok_engagement_rate_1m null	tiktok_engagement_rate_3m null	tiktok_engagement_rate_6m null	tiktok_engagement_rate_12m null	menu_link string	order_links null	reservation_link null	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 null	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 null	sentiment_negative_pct_30d null	sentiment_neutral_pct_30d null	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 null	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 float64	beam_rank_competition_1km_total float64	beam_rank_competition_1km_reviews float64	beam_rank_competition_5km_category float64	beam_rank_competition_5km_total float64	beam_rank_competition_5km_reviews float64	beam_rank_competition_10km_category float64	beam_rank_competition_10km_total float64	beam_rank_competition_10km_reviews float64	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 float64	beam_competitors_1km_competitor_count float64	beam_competitors_5km_competitor_count float64	beam_competitors_1km_rank_by_score float64	beam_competitors_1km_rank_by_rating float64	beam_competitors_1km_rank_by_reviews float64	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 float64	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 float64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score float64	beam_competitors_5km_rank_by_rating float64	beam_competitors_5km_rank_by_reviews float64	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 float64	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 float64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score float64	beam_competitors_10km_rank_by_rating float64	beam_competitors_10km_rank_by_reviews float64	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 float64	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 float64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius float64	beam_competitors_5km_total_in_radius float64	beam_competitors_10km_total_in_radius float64	beam_competitors_1km_avg_distance_m float64	beam_competitors_1km_closest_competitor_m float64	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 float64	beam_competitors_5km_closest_competitor_m float64	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 float64	beam_competitors_10km_closest_competitor_m float64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count float64	beam_competitors_city_total_in_city float64	beam_competitors_city_rank_by_score float64	beam_competitors_city_rank_by_rating float64	beam_competitors_city_rank_by_reviews float64	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 float64	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 float64	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 float64	beam_competitors_state_total_in_state float64	beam_competitors_state_rank_by_score float64	beam_competitors_state_rank_by_rating float64	beam_competitors_state_rank_by_reviews float64	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 float64	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 float64	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 float64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews float64	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 float64	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 float64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating float64	beam_competitors_country_rank_by_reviews float64	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 float64	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 float64	beam_competitors_city_population_density float64	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 float64	beam_competitors_state_population_density float64	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 null	beam_trends_score_90d_rating null	beam_trends_score_90d_review_count null	beam_trends_score_90d_beam_rating_health null	beam_trends_score_90d_beam_popularity_percentile null	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change float64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change float64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change float64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change float64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change float64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change float64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change float64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change float64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change float64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change float64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio null	beam_trends_sentiment_negative_ratio null	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 null	beam_trends_sentiment_recommend_pct float64
BT49CKYU	Country Buffet	Food and Drink	Restaurants	Buffet restaurant	Buffet restaurant, American restaurant, Breakfast restaurant, Family restaurant, Restaurant	1026 S Sable Blvd, Aurora, CO 80012	1026 S Sable Blvd	Aurora	Colorado	City Center	City Center	80,012	US	true	39.698311	-104.818148	America/Denver	(303) 74-***	0	CLOSED_TEMPORARILY	false	false	null	true	Aurora	Colorado	US	null	null	null	null	null	null	null	null	null	null	null	0	0	Chain buffet restaurant offering a vast variety of American dishes along with desserts.	true	true	2.69	32	{"1": 12, "2": 4, "3": 5, "4": 4, "5": 7}	Dine-in	null	null	null	null	Breakfast, Dinner	null	null	null	null	null	Good for kids	false	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/country-buffet/menu	null	null	2026-04-09T09:48:19.969444+00:00	0	null	6.2	5,218.47	137.5	111.479	1.44	53.8	50.6	34.4	null	null	null	null	null	0.1312	0.4679	0.6553	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	37	19.5	0	33	50	46	870	2,192	1,677	10,840	26,749	21,876	551,393	1,318,714	1,024,088	593,379	870	218,644	41	87,327	270,046	101	71,501	160,164	101	210,709	1,059	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.739	0.0797	0.5404	-0.0797	-0.5404	0.7713	0.1173	0.1717	-0.1173	-0.1717	0.6872	0.1315	0.3836	-0.1315	-0.3836	100	40	100	218,644	181,985	87,327	0.7017	0.7526	0.8828	0.5678	0.1312	44.6	1.27	1,003	17.4	0.3535	-12	0.64	-971	7.6	-0.3535	270,046	348,856	71,501	0.6374	0.5352	0.9056	0.3965	0.4679	49.1	0.89	1,759	11.4	0.5542	-16.5	1.02	-1,727	13.6	-0.5542	160,164	222,624	210,709	0.7827	Strong	0.7004	0.7192	0.638	0.6553	Strong	53.4	1.32	1,481	19.3	Strong	0.6642	-20.8	0.59	-1,449	5.7	-0.6642	41	101	101	668	4	competitive	0.0008	12.73	35	52.5	12.5	3,271	1,241	competitive	0.0002	1.27	11	76	13	7,931	5,001	competitive	0.0002	0.32	2	68	30	0	0.1078	0.5602	-0.1078	-0.5602	100	101	974	421	1,069	0.2806	0.69	0.2113	0.6738	0.0722	53.3	1.34	2,016	17.2	0.658	-20.7	0.57	-1,984	7.8	-0.658	competitive	0.0002	0.23	1	70	29	0.3826	1.44	1.38	0.1422	0.7025	-0.1422	-0.7025	100	101	11,550	5,026	13,511	0.2719	0.6831	0.1484	0.6833	0.0853	51.4	0.68	2,526	8.5	0.8377	-18.8	1.23	-2,494	16.5	-0.8377	competitive	0.0001	0.0004	1.11	0.09	0.3582	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-8.5	0.97	-499	-0.4595	0.2835	0.6553	0.2499	0.6364	0.0391	565,626	0.385	4.6	272,134	592,163	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	-16.2	-1.38	-407	-0.4353	0.2022	0.0603	0.2801	0.654	0.064	860	58.67	-58.67	0	1,079	2.59	3,863	906	0.5218	5,218.47	0.17	57,737	21	0.0437	437.5	0.01	243.9	0	99.01	0	99.01	0	99.01	0	99.01	-6.5	-0.78	0	-9.4	0	null	null	null	null	null	0.3	-249,063	0.342	0.77	218,644	0.702	0.08	-6,435	0.013	0.69	270,046	0.637	0.05	-64,135	0.095	0.74	160,164	0.783	0.25	-255	0.195	0.38	974	0.281	0.26	-2,890	0.199	0.36	11,550	0.272	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
SRQHAPJ9	Blazin' Bite Seafood BBQ and Music Bar	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant, Dim sum restaurant, Restaurant	12203 E Iliff Ave Unit L-S, Aurora, CO 80014	12203 E Iliff Ave Unit L-S	Aurora	Colorado	Heather Ridge	Heather Ridge	80,014	US	true	39.675959	-104.845601	America/Denver	(720) 86-***	3	null	true	true	null	true	Aurora	Colorado	US	https	https://blazinbitebbqmusicbar.com	blazinbitebbqmusicbar.com	blazinbitebbqmusicbar.com	com	162	2025-10-29	2026-10-29	Cloudflare, Inc.	purchase_dataset@beyondmenu.com	null	1	1	null	true	false	4.14	147	{"1": 20, "2": 8, "3": 8, "4": 16, "5": 101}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Cocktails, Comfort food, Hard liquor, Small plates, Wine	Lunch, Dinner, Dessert, Table service	Bar onsite, Restroom	Casual, Trendy	Groups	null	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/61574593498831/mentions	61574593498831	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://blazinbitebbqmusicbar.com/3b06ltpw/blazin-bite-seafood-bbq-and-music-bar-aurora-80014/menu	null	null	2026-04-09T09:40:08.088862+00:00	0	0	5.3	5,218.47	137.5	111.479	1.44	82.8	72.3	76.9	0.5558	null	0.348	0.5221	0.5483	0.2232	0.6905	0.7315	67.4	77.4	null	null	null	64.71	35.29	0	74.23	22.68	3.09	77.08	20.14	2.78	stable	declining	null	-10	-0.2003	-12.9	0	17	97	144	-64.9	-52.8	-100	57.3	9.5	8	67	71.5	46	712	1,357	1,189	8,993	18,306	15,895	426,628	898,217	699,118	457,024	712	385,694	22	568,897	184,839	101	78,021	134,748	101	169,210	593	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.7742	0.1106	0.5393	-0.1106	-0.1782	0.5001	0.0792	0.0958	-0.0792	0.2653	0.7387	0.133	0.4906	-0.133	-0.1295	100	21	100	385,694	151,160	568,897	0.4766	0.7941	0.2374	0.8285	0.2232	41.3	1.38	318	27.8	0.3983	-9.4	-0.99	-171	-21	0.1575	184,839	326,101	78,021	0.75	0.5653	0.8969	0.4345	0.6905	50.8	0.95	1,704	12.4	0.6218	-18.9	-0.56	-1,557	-5.6	-0.066	134,748	210,706	169,210	0.8173	Average	0.7165	0.7744	0.6066	0.7315	Strong	54.3	1.37	1,605	18	Strong	0.6853	-22.4	-0.98	-1,458	-11.2	-0.1295	22	101	101	117	14	competitive	0.0216	6.68	33.3	66.7	0	2,939	1,022	competitive	0.0009	1.27	6	74	20	8,190	5,300	competitive	0.0009	0.32	1	66	33	0	0.1078	0.5602	-0.1078	-0.1991	100	101	1,001	601	947	0.2614	0.556	0.3019	0.5707	0.5508	53.3	1.34	2,016	17.2	0.658	-21.4	-0.95	-1,869	-10.4	-0.1022	competitive	0.0007	0.23	1	70	29	0.3619	1.44	1.38	0.1422	0.6949	-0.1422	-0.3338	100	101	11,825	6,647	11,857	0.255	0.5799	0.2536	0.5846	0.5003	51.6	0.7	2,532	8.5	0.8379	-19.7	-0.31	-2,385	-1.7	-0.2821	competitive	0.0006	0.0004	1.11	0.09	0.3521	0.059	0.2307	-0.059	0.1304	791,801	41.1	0.94	531	20.4	0.4595	-9.2	-0.55	-384	0.0963	0.2695	0.551	0.4204	0.5536	0.5397	576,915	0.3992	-13.6	354,318	458,008	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	0.5	-0.16	-292	0.1374	0.4109	0.2514	0.4128	0.5696	0.5983	636	58.67	17.07	0.538	1,079	2.59	3,863	906	0.5218	5,218.47	0.17	57,737	21	0.0439	438.52	4.65	454.55	0.01	99.01	0.01	99.01	0.01	99.01	0	99.01	-33.1	-3.75	0	-70.1	-34.5	null	null	null	null	null	0.22	-195,649	0.269	0.5	385,693	0.477	0	919	0.002	0.74	184,833	0.75	0.02	-22,611	0.039	0.77	134,732	0.817	-0.07	276	-0.199	0.36	1,001	0.261	-0.02	2,313	-0.132	0.35	11,825	0.255	0.5558	null	null	147	0	0	0	0	decelerating	0.4	2.8	12	12	60	149	0.92	0.923	0.923	0.375	0.612	66,515	69,132	69,106	10	36	decelerating	0	null	79.45
6NF84UHL	U&I BBQ KARAOKE BAR	Food and Drink	Restaurants	Chinese restaurant	Chinese restaurant, Barbecue restaurant, Karaoke, Seafood restaurant	1555 S Havana St unit c, Aurora, CO 80012	1555 S Havana St unit c	Aurora	Colorado	Dayton Triangle	Dayton Triangle	80,012	US	true	39.688019	-104.867809	America/Denver	(303) 75-***	2	null	true	true	null	true	Aurora	Colorado	US	https	https://renjianyanhuoui.com	renjianyanhuoui.com	renjianyanhuoui.com	com	1,447	2022-04-23	2027-04-23	NameCheap, Inc.	null	null	0	0	null	true	false	4.17	166	{"1": 19, "2": 6, "3": 11, "4": 17, "5": 111}	No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Great cocktails	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Braille menu, Cocktails, Comfort food, Hard liquor, Late-night food, Private dining (...TRUNCATED)	Lunch, Dinner, Dessert, Table service	Bar onsite, Restroom	Casual	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s)	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://renjianyanhuoui.com	null	null	2026-04-09T08:38:18.760311+00:00	0	0	8.7	5,242.41	137.8	111.479	1.44	83.4	74.1	77.7	0.5739	null	-1	0.7248	0.5297	0.1324	0.7803	0.8619	0	76.5	null	null	null	0	100	0	87.5	12.5	0	78.95	21.05	0	stable	declining	null	-76.5	-1.5297	-100	0	1	8	19	-75	-78.9	-100	46.5	9.5	0	33	25.1	46	688	1,314	1,137	8,724	17,831	15,250	411,089	873,641	666,186	440,259	688	583,450	69	279,679	171,304	101	103,285	151,181	101	86,898	570	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.7894	0.085	0.577	-0.085	-1.577	0.4318	0.0739	0.1309	-0.0739	-1.1309	0.7331	0.1199	0.4995	-0.1199	-1.4995	100	68	100	583,450	347,881	279,679	0.2145	0.5288	0.6246	0.5644	0.1324	37.2	0.78	611	17.3	0.3542	-18.9	-0.77	-447	-17.3	0.2197	171,304	333,509	103,285	0.7685	0.5554	0.8636	0.472	0.7803	51.1	0.93	1,548	13.5	0.6533	-32.8	-0.92	-1,384	-13.5	-0.0794	151,181	232,807	86,898	0.7951	Average	0.687	0.8841	0.5004	0.8619	Strong	53.7	1.28	1,969	14.2	Strong	0.7213	-35.4	-1.27	-1,805	-14.2	-0.1474	69	101	101	540	90	competitive	0.0039	21.65	61.8	33.8	4.4	3,331	1,017	competitive	0.0011	1.27	6	74	20	7,907	5,047	competitive	0.0008	0.32	0	71	29	0	0.1078	0.5583	-0.1078	-1.5583	100	101	1,329	1,226	935	0.0199	0.0943	0.3115	0.0493	0.5781	53.4	1.34	2,025	17.2	0.6554	-35.1	-1.33	-1,861	-17.2	-0.0815	competitive	0.0008	0.23	1	70	29	0.1297	1.44	1.38	0.151	0.6938	-0.151	-1.6938	100	101	15,205	13,288	11,606	0.043	0.163	0.2689	0.1568	0.5269	51.7	0.72	2,530	9.2	0.8328	-33.4	-0.71	-2,366	-9.2	-0.2589	competitive	0.0006	0.0004	1.11	0.09	0.1467	0.059	0.2307	-0.059	-1.2307	791,801	41.1	0.94	531	20.4	0.4595	-22.8	-0.93	-367	0.1144	0.0179	0.1221	0.4394	0	0.561	777,242	0.1756	-20.4	689,823	442,965	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	-16.2	-3.03	-273	0.1501	0.2022	0	0.4314	0	0.6104	860	58.67	24.26	0.6865	1,079	2.59	3,863	906	0.5242	5,242.41	0.17	57,737	21	0.0438	438.21	0.15	144.93	0.01	99.01	0.01	99.01	0.01	99.01	0	99.01	-43.5	-4.16	-2	-77.7	-17.9	null	null	null	null	null	0.19	-71,673	0.105	0.43	583,449	0.215	-0.05	11,966	-0.012	0.73	171,284	0.769	-0.03	55,168	-0.066	0.79	151,132	0.795	-0.29	506	-0.367	0.13	1,329	0.02	-0.2	4,534	-0.27	0.15	15,205	0.043	0.5739	null	null	166	0	0	0	0	decelerating	0.03	0.23	1	1	6	26	0.281	0.292	0.294	0.197	0.121	528,654	556,970	554,104	43	298	decelerating	0	null	83.64
BR8SVYDH	Tacos el Comando	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	10955 E Mississippi Ave, Aurora, CO 80012	10955 E Mississippi Ave	Aurora	Colorado	Expo Park	Expo Park	80,012	US	true	39.696989	-104.86079	America/Denver	null	2	CLOSED_TEMPORARILY	true	true	null	true	Aurora	Colorado	US	https	https://tacoselcomando.com	tacoselcomando.com	tacoselcomando.com	com	622	2024-07-26	2029-07-26	IONOS SE	null	null	0	0	null	true	false	4.97	183	{"1": 1, "2": 0, "3": 0, "4": 1, "5": 218}	Curbside pickup, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible parking lot	Coffee, Comfort food, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating	null	Casual	Family-friendly, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	false	true	purchase_dataset@	true	false	2	2024-12-24	2026-02-13	471	55	24	471	471	55	55	https://www.instagram.com/tacoselcomando	tacoselcomando	https://www.facebook.com/tacoselcomando	tacoselcomando	null	null	null	null	null	null	null	null	null	null	null	null	null	null	129	2.84	null	2.84	2.74	2.78	72	null	null	null	null	null	null	null	null	https://tacoselcomando.com/menu	null	null	2026-04-09T08:35:49.967611+00:00	0.25	0.25	0.6	8,255.5	393.3	56.4827	0.19	99.4	75.5	99.5	0.9646	null	0.9605	0.9763	0.9606	0.5623	0.4493	0.1275	98	98	null	null	null	100	0	0	100	0	0	98.48	1.52	0	stable	stable	null	0	-0.0001	0	0	9	15	66	20	-45.5	-100	73.8	32.8	56	50	91.1	46	667	254	1,101	8,506	2,452	14,736	397,215	118,231	637,952	425,373	667	607,412	12	654,552	245,572	101	380,950	448,245	101	515,254	71	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.4546	0.1151	0.2038	-0.1151	0.7454	0.2738	0.0502	0.0828	-0.0502	0.8664	0.6389	0.1516	0.2018	-0.1516	0.7474	100	11	100	607,412	335,340	654,552	0.1829	0.5457	0.1232	0.4964	0.5623	36.5	0.81	223	15.3	0.5041	31.4	3.32	-37	65.9	0.4605	245,572	195,615	380,950	0.67	0.739	0.4972	0.7321	0.4493	49.6	1.38	851	23.5	0.549	18.3	2.75	-665	57.7	0.4156	448,245	243,194	515,254	0.3963	Below Average	0.6729	0.314	0.6355	0.1275	Average	48.3	1.24	791	19.2	Average	0.4621	19.6	2.89	-605	62	0.5025	12	101	101	729	189	moderate	0.0704	3.5	54.5	45.5	0	3,248	1,080	competitive	0.0022	1.27	21	57	22	6,439	5,031	competitive	0.0023	0.32	26	53	21	0	0.1575	0.0795	-0.1575	0.8697	43	44	2	1	27	0.9778	1	0.4222	1	0.9778	40.9	1.04	414	18.5	0.4736	27	3.09	-228	62.7	0.491	competitive	0.0103	1.51	53.5	37.2	9.3	0.8178	0.19	7.93	0.1422	0.7025	-0.1422	0.2467	100	101	539	1,487	11,302	0.9654	0.9058	0.2886	0.9867	0.9734	51.4	0.68	2,526	8.5	0.8377	16.5	3.45	-2,340	72.7	0.1269	competitive	0.0007	0.0004	1.11	0.09	0.7445	0.059	0.2307	-0.059	0.7185	791,801	41.1	0.94	531	20.4	0.4595	26.8	3.19	-345	0.5051	0.9763	0.8799	0.4633	0.9873	0.9829	18,346	0.7935	60.8	94,637	424,182	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	25.9	0.94	-256	0.5445	0.9824	0.7013	0.4471	0.9796	0.9731	20	58.67	40.22	0.9638	1,079	19.4	515	779	0.8028	8,027.52	0.17	57,737	21	0.0437	437.5	49.6	833.33	0.05	99.01	0.05	99.01	1.07	227.27	0.01	99.01	-14.1	-0.84	3	-18.3	-31.7	null	null	null	null	null	-0.06	19,803	-0.017	0.27	607,411	0.183	0.2	-185,692	0.251	0.64	245,567	0.67	0.24	-124,525	0.171	0.45	448,239	0.396	0.03	-2	0.045	0.82	2	0.978	0	-746	0.051	0.74	539	0.965	0.9646	null	null	183	0.07	2	0.687	0.612	decelerating	0.07	0.47	2	2	9	54	0.732	0.739	0.74	0.687	0.612	156,567	163,872	163,540	56	392	decelerating	-0.03	null	76.24
2FPSAREF	Tacos Los Patroncitos	Food and Drink	Restaurants	Restaurant	Restaurant	16981 E Quincy Ave, Aurora, CO 80015	16981 E Quincy Ave	Aurora	Colorado	null	Carriage Place	80,015	US	true	39.639005	-104.78923	America/Denver	(720) 76-***	1	OPERATIONAL	true	true	null	true	Aurora	Colorado	US	null	null	null	null	null	null	null	null	null	null	null	0	0	null	true	false	4.67	12	{"1": 1, "2": 1, "3": 1, "4": 1, "5": 16}	Curbside pickup, Delivery, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible parking lot	Comfort food, Quick bite	Lunch, Dinner	null	Casual	Groups	null	Credit cards, Debit cards	Good for kids	false	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-09T08:33:49.697414+00:00	0	0	7.2	5,214.51	137.6	111.479	1.44	93.4	37.1	91.7	0.7263	null	0.094	0.467	0.7263	0.0491	0.2918	0.7285	54.7	86.3	null	null	null	0	0	100	50	16.67	33.33	75	8.33	16.67	stable	declining	null	-31.6	-0.6323	-36.6	0	2	6	12	-33.3	-33.3	-100	50.7	9.5	0	17	60.8	46	951	565	1,889	11,575	7,263	24,098	592,523	334,074	1,149,934	638,355	951	193,287	22	275,635	380,205	101	286,682	132,075	101	88,903	187	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.8168	0.1511	0.6019	-0.1511	-0.5079	0.6738	-0.02	-0.0384	0.02	0.1324	0.5467	0.0348	0.3546	-0.0348	-0.2606	100	21	100	193,287	269,415	275,635	0.7358	0.6349	0.6302	0.6277	0.0491	45.2	0.99	616	19.4	0.2693	-20.7	-0.07	-604	-2.7	0.457	380,205	341,276	286,682	0.4919	0.5451	0.6215	0.4911	0.2918	47.1	0.91	1,020	14.1	0.503	-22.6	0.01	-1,008	2.6	0.2233	132,075	188,216	88,903	0.8207	Strong	0.7468	0.8815	0.5885	0.7285	Average	54.4	1.47	1,957	17.3	Market Leader	0.6845	-29.9	-0.55	-1,945	-0.6	0.0418	22	101	101	231	66	competitive	0.0009	6.68	33.3	52.4	14.3	3,490	1,440	competitive	0.0001	1.27	22	65	13	8,402	5,051	competitive	0.0001	0.32	1	68	30	1	0.1078	0.5599	-0.1078	-0.4659	100	101	1,195	517	1,132	0.1149	0.62	0.1657	0.6318	0.7923	53.4	1.34	2,014	17.2	0.6547	-28.9	-0.42	-2,002	-0.5	0.0716	competitive	0.0001	0.23	1	70	29	0.2817	1.44	1.38	0.1475	0.6886	-0.1475	-0.5946	100	101	13,749	5,895	14,121	0.1325	0.6289	0.1098	0.6472	0.7383	51.6	0.7	2,522	8.5	0.8382	-27.1	0.22	-2,510	8.2	-0.1119	competitive	0	0.0004	1.11	0.09	0.2746	0.059	0.2307	-0.059	-0.1367	791,801	41.1	0.94	531	20.4	0.4595	-16.6	-0.02	-519	0.2668	0.1073	0.5958	0.191	0.6025	0.7731	704,278	0.279	-3.7	319,769	637,359	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	-11	-0.36	-427	-0.1072	0.2338	0.1976	0.2087	0.6197	0.3516	827	58.67	-33.67	0.2226	1,079	2.59	3,863	906	0.5215	5,214.51	0.17	57,737	21	0.0437	436.86	0.01	454.55	0	99.01	0	99.01	0	99.01	0	99.01	-32.2	-3.75	0	-75	-33.3	null	null	null	null	null	0.23	-190,158	0.263	0.67	193,285	0.736	0.11	-23,479	0.036	0.55	380,190	0.492	0.07	-54,453	0.083	0.82	131,982	0.821	-0.12	227	-0.165	0.28	1,195	0.115	-0.09	1,605	-0.086	0.27	13,749	0.133	0.7263	null	null	12	0	0	0	0	decelerating	0.03	0.23	1	1	5	13	0.281	0.292	0.294	0.267	0.23	528,654	556,970	554,104	152	1,415	decelerating	-0.04	null	75
JC3FLB8R	Fritangas Mexican Restaurant	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Restaurant	e, 15099 E Hampden Ave, Aurora, CO 80014	e, 15099 E Hampden Ave	Aurora	Colorado	null	Meadow Wood	80,014	US	true	39.65338	-104.812757	America/Denver	(303) 76-***	2	OPERATIONAL	true	true	null	true	Aurora	Colorado	US	https	https://fritangas.net	fritangas.net	fritangas.net	net	3,997	2015-04-30	2026-04-30	Bluehost Inc.	null	null	0	0	null	true	false	4.21	1,736	{"1": 175, "2": 68, "3": 152, "4": 393, "5": 1277}	Outdoor seating, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/fritangas-mexican-restaurant-2/menu	null	null	2026-04-09T08:33:13.134158+00:00	0	0	5.6	5,218.47	137.4	111.479	1.43	84.2	100	80.2	0.6157	null	-0.0866	0.5219	0.4843	0.2999	0.5308	0.6189	45.7	74.2	null	null	null	50	50	0	81.13	18.87	0	77.27	22.73	0	stable	declining	null	-28.5	-0.5709	-38.4	0	6	53	88	-77.4	-72.7	-100	55.3	9.5	0	33	62.9	46	31	1,249	37	256	17,027	284	6,481	830,956	7,913	6,642	31	556,072	25	568,897	194,655	101	179,458	114,790	101	90,768	531	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.8307	0.143	0.554	-0.143	-0.4854	0.3972	0.0407	0.3341	-0.0407	-0.2655	0.7156	0.1215	0.3841	-0.1215	-0.3155	100	24	100	556,072	181,985	568,897	0.2505	0.7526	0.2374	0.735	0.2999	37.9	1.27	318	23.5	0.4259	-10.5	-1.13	1,734	-21.4	0.1898	194,655	270,192	179,458	0.7369	0.6396	0.763	0.562	0.5308	50.6	1.11	1,262	16.5	0.5724	-23.2	-0.97	790	-14.4	0.0433	114,790	175,015	90,768	0.8443	Below Average	0.7641	0.879	0.638	0.6189	Strong	55.1	1.53	1,946	19.3	Market Leader	0.6541	-27.7	-1.39	106	-17.2	-0.0384	25	101	101	334	4	competitive	0.2118	7.64	50	50	0	3,589	1,796	competitive	0.016	1.27	5	76	19	7,906	5,226	competitive	0.0104	0.32	1	64	34	1	0.1078	0.5602	-0.1078	-0.4916	100	101	1,124	886	94	0.173	0.2997	0.9315	0.4109	0.6355	53.3	1.34	2,016	17.2	0.658	-25.9	-1.2	36	-15.1	-0.0423	competitive	0.0101	0.23	1	70	29	0.4386	1.44	1.38	0.1475	0.698	-0.1475	-0.6294	100	101	12,960	7,876	1,256	0.1833	0.496	0.921	0.4808	0.5744	51.3	0.65	2,531	8	0.8377	-23.9	-0.51	-479	-5.9	-0.222	competitive	0.008	0.0004	1.11	0.09	0.4984	0.059	0.2307	-0.059	-0.1621	791,801	41.1	0.94	531	20.4	0.4595	-13.7	-0.8	1,521	0.1562	0.1754	0.4169	0.9513	0.3942	0.6134	651,750	0.4806	-18.3	449,046	38,545	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	-4.4	0.04	1,297	0.1847	0.3182	0.3367	0.9731	0.4109	0.6651	734	58.67	25.09	0.705	1,079	2.59	3,863	906	0.5218	5,218.47	0.17	57,737	21	0.0438	438.34	448.44	400	2.56	99.01	1.09	99.01	1.02	99.01	0.65	99.01	-38.2	-4.07	316	-78.1	-31	null	null	null	null	null	0.04	-28,400	0.047	0.4	556,070	0.251	0.11	-66,619	0.093	0.72	194,634	0.737	0.1	-87,231	0.127	0.83	114,725	0.844	-0.18	427	-0.306	0.44	1,124	0.173	-0.08	3,735	-0.221	0.5	12,960	0.183	0.6157	null	null	1,736	0	0	0	0	decelerating	0.2	1.4	6	6	49	97	0.774	0.782	0.782	0.727	0.666	173,580	180,528	180,244	55	445	decelerating	-0.03	null	84.85
LHVCJ2F4	HoneyBee Asian Bistro & Sushi	Food and Drink	Restaurants	Asian restaurant	Asian restaurant, Asian fusion restaurant, Japanese restaurant, Sushi restaurant, Sushi takeaway	18541 E Hampden Ave Ste 126, Aurora, CO 80013	18541 E Hampden Ave Ste 126	Aurora	Colorado	Seven Hills	Seven Hills	80,013	US	true	39.654813	-104.771189	America/Denver	(303) 40-***	2	OPERATIONAL	true	true	null	true	Aurora	Colorado	US	http	http://honeybeeasianbistro.com	honeybeeasianbistro.com	honeybeeasianbistro.com	com	6,256	2009-02-21	2027-02-21	NAMECHEAP INC	null	null	0	0	Informal option for a long, varied menu of Asian standards, with free WiFi for diners.	true	true	4.26	865	{"1": 84, "2": 38, "3": 41, "4": 118, "5": 596}	No-contact delivery, Delivery, Takeout, Dine-in	Fast service, Great cocktails, Great tea selection, Serves local specialty	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, Quick bite, Small pla(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	2	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/honeybeeasianbistro	honeybeeasianbistro	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.mealkeyway.com/customer/release/index?mid=41306f5052484e324e576737413155795768677456673d3d#/main	null	null	2026-04-09T08:31:10.418044+00:00	0	0.72	1.2	5,218.47	68.4	111.479	1.43	85.2	97.9	81.3	0.5749	null	0.6192	0.6672	0.7042	0.0731	0.1866	0.54	81	85.2	null	null	null	83.33	0	16.67	85.37	12.2	2.44	88.5	10.62	0.88	stable	declining	null	-4.2	-0.085	-4.9	0	6	41	113	-70.7	-78.8	-100	67	27.4	16	83	77.6	46	247	1,179	380	3,224	16,152	4,704	124,059	784,841	172,521	133,860	247	407,730	24	194,973	417,339	101	369,663	203,983	101	139,066	488	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.7251	0.1411	0.5204	-0.1411	-0.2336	0.5866	-0.0487	0.0752	0.0487	0.2116	0.4973	0.0911	0.2936	-0.0911	-0.0068	100	23	100	407,730	279,753	194,973	0.4471	0.6209	0.7383	0.6665	0.0731	40.9	0.96	731	20.8	0.305	15.3	1.93	140	33.3	0.2699	417,339	333,509	369,663	0.4426	0.5554	0.512	0.5128	0.1866	46.4	0.93	869	14.8	0.4661	9.8	1.96	2	39.3	0.1088	203,983	268,073	139,066	0.7223	Average	0.6393	0.8146	0.5202	0.54	Average	52.1	1.15	1,716	14.8	Strong	0.6314	4.1	1.74	-845	39.3	-0.0565	24	101	101	352	35	competitive	0.0492	7.32	60.9	21.7	17.4	3,601	2,009	competitive	0.0099	1.27	27	62	11	7,740	5,077	competitive	0.0051	0.32	5	71	24	0	0.1078	0.5602	-0.1078	-0.2734	100	101	170	271	345	0.8756	0.799	0.7467	0.9072	0.5707	53.3	1.34	2,016	17.2	0.658	2.9	1.55	-1,145	36.9	-0.0831	competitive	0.0043	0.23	1	70	29	0.8139	1.44	1.38	0.1457	0.6862	-0.1457	-0.3994	100	101	2,428	3,534	5,370	0.8462	0.7764	0.662	0.8784	0.5253	51.8	0.74	2,514	9.1	0.8351	4.4	2.15	-1,643	45	-0.2602	competitive	0.0035	0.0004	1.11	0.09	0.77	0.059	0.2307	-0.059	0.0561	791,801	41.1	0.94	531	20.4	0.4595	15.1	1.95	340	0.1154	0.8689	0.7751	0.8124	0.8997	0.5621	102,716	0.8238	33.7	177,029	148,343	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	13.2	0.11	426	0.1937	0.7811	0.3627	0.8024	0.8692	0.6744	233	58.67	26.21	0.7375	1,079	2.59	3,863	906	0.5218	5,218.47	0.17	57,737	21	0.0435	435.44	24.24	416.67	0.98	99.01	0.26	99.01	0.19	99.01	0.12	99.01	-15.9	-1.37	7	-27.2	-14.1	null	null	null	null	null	0.24	-173,613	0.24	0.59	407,729	0.447	0.14	-45,865	0.066	0.5	417,338	0.443	0.12	-89,436	0.127	0.73	203,982	0.722	0.15	-233	0.18	0.81	170	0.876	0.16	-3,627	0.239	0.77	2,428	0.846	0.5749	null	null	865	0.03	1	0.375	0.368	decelerating	0.03	0.23	1	1	10	71	0.507	0.515	0.517	0.375	0.368	253,363	266,224	265,236	9	51	decelerating	-0.04	null	78.7
XEF4YUJD	Casa Tequila Grill	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	5350 S Parker Rd, Aurora, CO 80015	5350 S Parker Rd	Aurora	Colorado	null	null	80,015	US	true	39.617385	-104.818048	America/Denver	(720) 76-***	2	OPERATIONAL	true	true	null	true	Aurora	Colorado	US	https	https://casatequilagrillaurora.com	casatequilagrillaurora.com	casatequilagrillaurora.com	com	20	2026-03-20	2027-03-20	Tucows Domains Inc.	null	null	0	0	null	true	false	4.8	217	{"1": 5, "2": 5, "3": 7, "4": 5, "5": 209}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, 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, Hard liquor, Quick bite, Small p(...TRUNCATED)	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2025-07-19	2026-01-24	264	75	64	264	264	75	75	https://www.instagram.com/casatequilagrill	casatequilagrill	https://www.facebook.com/p/casa-tequila-grill-61576785902785	casa-tequila-grill-61576785902785	null	null	null	null	null	null	null	null	null	null	null	null	null	null	24	6.94	null	null	6.94	6.94	122	null	null	null	null	null	null	null	null	https://casatequila-grill.com/order	null	null	2026-04-09T08:29:43.555547+00:00	0.01	0	1.4	5,580.63	27.4	111.479	1.44	96	77.9	94	0.8948	null	0.9361	0.8338	0.8948	0.1986	0.2517	0.7643	96.8	94.7	null	null	null	96.67	3.33	0	91.86	8.14	0	94.93	4.61	0.46	stable	stable	null	2.1	0.0413	2.2	0	30	86	217	-30.2	-44.7	-100	75.4	9.5	92	67	97.7	46	632	410	1,023	8,105	4,704	13,804	372,669	214,244	589,758	399,020	632	564,138	26	406,781	400,969	101	295,289	95,037	101	69,718	123	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.8627	0.1294	0.6212	-0.1294	0.3621	0.3083	0.0156	0.3316	-0.0156	0.6517	0.5384	0.0418	0.2669	-0.0418	0.7164	100	25	100	564,138	551,499	406,781	0.2398	0.2537	0.4543	0.2672	0.1986	37.7	0.39	471	9.7	0.388	8.9	0.25	-253	2.7	0.5068	400,969	326,101	295,289	0.4644	0.5653	0.6102	0.5365	0.2517	46.7	0.95	1,003	15.6	0.4903	-0.1	-0.31	-785	-3.2	0.4045	95,037	142,766	69,718	0.8709	Below Average	0.8075	0.907	0.6308	0.7643	Average	56	1.68	2,074	19	Market Leader	0.6941	-9.4	-1.04	-1,856	-6.6	0.2007	26	101	101	550	6	competitive	0.0182	7.96	52	48	0	3,231	1,073	competitive	0.0022	1.27	26	61	13	7,495	5,462	competitive	0.0011	0.32	0	64	34	2	0.1078	0.5602	-0.1078	0.4231	100	101	439	541	879	0.676	0.6016	0.3527	0.6075	0.9374	53.3	1.34	2,016	17.2	0.658	-6.7	-0.7	-1,798	-4.8	0.2368	competitive	0.0011	0.23	1	70	29	0.5567	1.44	1.38	0.1422	0.6935	-0.1422	0.2898	100	101	5,206	6,130	10,886	0.6701	0.6138	0.315	0.6201	0.937	51.3	0.66	2,518	8.1	0.838	-4.7	-0.02	-2,300	4.3	0.0568	competitive	0.0009	0.0004	1.11	0.09	0.5467	0.059	0.2307	-0.059	0.7526	791,801	41.1	0.94	531	20.4	0.4595	5.5	-0.3	-313	0.4353	0.6656	0.58	0.4948	0.5868	0.9579	262,459	0.5887	-8	332,123	399,221	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	18.1	0.76	-222	0.4575	0.8924	0.6531	0.4759	0.603	0.9406	115	58.67	33.64	0.8933	1,079	2.59	3,863	906	0.5218	5,218.47	0.17	57,737	21	0.0436	436.07	3.31	384.62	0.05	99.01	0.01	99.01	0.01	99.01	0.01	99.01	-38.7	-4.16	1	-81.6	-63.5	null	null	null	null	null	0.03	13,950	-0.009	0.31	564,137	0.24	0.13	-36,927	0.054	0.54	400,964	0.464	0.06	-23,091	0.041	0.86	95,003	0.871	-0.23	423	-0.313	0.56	439	0.676	-0.22	4,844	-0.306	0.55	5,206	0.67	0.8948	null	null	217	0	0	0	0	decelerating	0.57	3.97	17	17	48	220	0.954	0.956	0.956	0.959	0.94	39,738	41,255	41,258	10	87	stable	-0.16	null	94.39
ZRRUE8X3	Makalu Restaurant	Food and Drink	Restaurants	Restaurant	Restaurant	9355 E Colfax Ave, Aurora, CO 80010	9355 E Colfax Ave	Aurora	Colorado	North Aurora Division	North Aurora	80,010	US	true	39.740403	-104.879158	America/Denver	(720) 28-***	1	CLOSED_TEMPORARILY	false	true	null	true	Aurora	Colorado	US	https	https://busifi.org/details/makalu-restaurant-chijgbu	busifi.org/details/makalu-restaurant-chijgbu	busifi.org	org	220	2025-09-01	2026-09-01	NAMECHEAP INC	null	null	0	0	null	true	false	5	2	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 2}	Curbside pickup, No-contact delivery, Delivery, Takeout, Dine-in	null	null	null	null	null	null	null	null	null	Debit cards, NFC mobile payments	null	false	true	purchase_dataset@	true	true	2	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/businessdotorg	businessdotorg	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-09T08:29:43.553662+00:00	0	0	6.5	5,242.41	69	111.479	1.44	100	15.9	100	0.4465	null	null	null	null	0.5225	0.6198	0.9446	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	0	null	null	null	55.9	19.5	16	50	50	46	1,079	185	2,212	12,480	1,757	26,736	644,993	83,526	1,297,650	695,739	1,079	560,131	53	630,899	199,619	101	199,229	176,176	101	40,182	40	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.7601	0.077	0.6082	-0.077	-0.6082	0.3335	0.0746	0.2938	-0.0746	-0.2938	0.7037	0.0659	0.3438	-0.0659	-0.3438	100	52	100	560,131	272,821	630,899	0.2451	0.6303	0.1546	0.7206	0.5225	37.8	0.98	252	22.9	0.4925	-16.8	-0.98	-250	-22.9	-0.046	199,619	273,473	199,229	0.7302	0.6353	0.7369	0.5789	0.6198	50.5	1.1	1,211	17.1	0.6	-29.5	-1.1	-1,209	-17.1	-0.1535	176,176	318,626	40,182	0.7617	Below Average	0.5715	0.9465	0.439	0.9446	Strong	52.9	0.99	2,337	12.5	Strong	0.7661	-31.9	-0.99	-2,335	-12.5	-0.3196	53	101	101	635	52	competitive	0.0002	16.55	59.6	28.8	11.5	3,330	1,007	competitive	0	1.27	11	67	22	8,012	5,067	competitive	0	0.32	0	80	20	0	0.1078	0.5583	-0.1078	-0.5583	100	101	1,279	1,232	1,326	0.056	0.0007	0.0177	0.0493	0.4352	53.4	1.34	2,025	17.2	0.6554	-32.4	-1.34	-2,023	-17.2	-0.2089	competitive	0	0.23	1	70	29	0.0279	1.44	1.38	0.1422	0.6949	-0.1422	-0.6949	100	101	14,648	12,788	15,375	0.078	0.1644	0.0261	0.1823	0.3923	51.6	0.7	2,532	8.5	0.8379	-30.6	-0.7	-2,530	-8.5	-0.3914	competitive	0	0.0004	1.11	0.09	0.0883	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-20.1	-0.94	-529	-0.013	0.0461	0	0.1152	0	0.4233	754,530	0.053	-20.4	695,148	688,718	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	-30.7	null	-437	0.0112	0.0668	0.8006	0.0974	0	0.4564	1,007	58.67	-58.67	0	1,079	2.59	3,863	906	0.5242	5,242.41	0.17	57,737	21	0.0439	438.52	0	188.68	0	99.01	0	99.01	0	99.01	0	99.01	-37	-5	0	-100	0	null	null	null	null	null	0.08	-24,341	0.042	0.33	560,125	0.245	0.04	-47,487	0.067	0.7	199,568	0.73	-0.16	127,446	-0.167	0.76	175,921	0.762	-0.36	346	-0.249	0.03	1,279	0.056	-0.3	2,832	-0.162	0.09	14,648	0.078	0.4465	null	null	2	0	0	0	0	stable	0	0	0	0	0	1	null	null	null	0	0	null	null	null	200	1,761	stable	0	null	null
K4RHCVAJ	bb.q Chicken Village on the Park (Aurora)	Food and Drink	Restaurants	Restaurant	Restaurant, Chicken restaurant, Korean restaurant	2495 S Havana St unit H, Aurora, CO 80014	2495 S Havana St unit H	Aurora	Colorado	Dayton Triangle	Dayton Triangle	80,014	US	true	39.672178	-104.866622	America/Denver	(720) 88-***	1	null	true	true	null	true	Aurora	Colorado	US	https	https://bbqchicken.com	bbqchicken.com	bbqchicken.com	com	8,434	2003-03-07	2027-03-07	GoDaddy.com, LLC	null	null	0	0	null	true	false	4.36	613	{"1": 52, "2": 16, "3": 36, "4": 54, "5": 452}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Cocktails, Comfort food, Quick bite, Small plates	Lunch, Dinner, Dessert, Seating	Bar onsite, Restroom	Casual, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	false	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://order.online/store/-22965659/?pickup=true&hidemodal=true	null	null	2026-04-09T08:26:00.094448+00:00	0	1.45	6.5	5,242.41	137.5	111.479	1.44	87.2	92.9	82.7	0.6749	null	0.7473	0.704	0.7083	0.6713	0.4803	0.8443	87.4	85.4	null	null	null	88.89	11.11	0	83.78	13.51	2.7	84.47	13.59	1.94	stable	stable	null	2	0.039	2.3	0	9	37	103	-51.4	-65	-100	62.3	32.8	0	33	84.2	46	370	1,027	564	4,685	14,155	7,114	192,550	679,261	276,697	206,296	370	294,436	85	179,429	204,700	101	85,784	134,748	101	90,096	405	1,204	2,416	13,922	29,156	734,279	1,460,619	734,279	0.801	0.1258	0.585	-0.1258	0.0901	0.6493	0.074	0.3197	-0.074	0.3554	0.7583	0.1	0.3618	-0.1	0.3133	100	84	100	294,436	290,501	179,429	0.5992	0.6064	0.7591	0.5678	0.6713	43	0.93	758	17.4	0.5383	-9.9	-0.85	-152	-15.9	0.1366	204,700	242,624	85,784	0.7236	0.6763	0.8867	0.5336	0.4803	50.4	1.2	1,647	15.5	0.5577	-17.3	-1.12	-1,041	-14	0.1172	134,748	222,624	90,096	0.8173	Average	0.7004	0.8799	0.5516	0.8443	Strong	54.3	1.32	1,950	15.9	Market Leader	0.7158	-21.2	-1.24	-1,344	-14.4	-0.0409	85	101	101	564	19	competitive	0.0094	26.74	40.5	46.4	13.1	3,335	1,012	competitive	0.0037	1.27	7	73	20	7,919	5,006	competitive	0.0031	0.32	0	69	30	1	0.1078	0.5583	-0.1078	0.1168	100	101	964	1,058	559	0.2909	0.1922	0.5884	0.3351	0.7216	53.4	1.34	2,025	17.2	0.6554	-20.3	-1.26	-1,419	-15.7	0.0195	competitive	0.003	0.23	1	70	29	0.3505	1.44	1.38	0.1422	0.6987	-0.1422	-0.0236	100	101	11,449	10,770	7,923	0.2782	0.3035	0.5015	0.3656	0.6565	51.6	0.7	2,527	8.5	0.8384	-18.5	-0.62	-1,921	-7	-0.1635	competitive	0.0024	0.0004	1.11	0.09	0.3528	0.059	0.2307	-0.059	0.4444	791,801	41.1	0.94	531	20.4	0.4595	-8	-0.86	75	0.2154	0.2942	0.2667	0.7286	0.3051	0.6965	557,316	0.4162	-18.9	556,571	214,610	44.5	8.8	46.7	791,802	1,079	52	4.03	439	20.8	0.4353	2.1	0.15	174	0.2403	0.4425	0.3822	0.7004	0.3024	0.7347	600	58.67	26.48	0.743	1,079	2.59	3,863	906	0.5242	5,242.41	0.17	57,737	21	0.0438	437.75	0.89	117.65	0.13	99.01	0.1	99.01	0.09	99.01	0.06	99.01	-32.4	-4.28	-7	-81.2	-5.7	null	null	null	null	null	0.03	4,134	0	0.65	294,432	0.599	0.14	-71,781	0.1	0.76	204,672	0.724	-0.06	57,765	-0.071	0.8	134,643	0.817	-0.22	267	-0.188	0.35	964	0.291	-0.17	2,174	-0.124	0.35	11,449	0.278	0.6749	null	null	613	0.07	2	0.694	0.613	decelerating	0.07	0.47	2	2	9	111	0.732	0.739	0.74	0.694	0.613	156,567	163,872	163,540	51	532	decelerating	-0.06	null	85.13

End of preview. Expand in Data Studio

All Restaurants in Aurora, Colorado, US

Free sample dataset from BeamStation

This dataset provides a complete export of every restaurant operating in Aurora, Colorado, United States. It contains 1,184 records, each representing a distinct establishment and includes all available columns from the source—such as name, address, cuisine type, contact information, hours of operation, and any additional attributes supplied by the data provider. The file is refreshed on a weekly basis, ensuring that users have access to the most current listings for the city. Researchers, urban planners, hospitality analysts, and developers building location‑based applications can use this data to study market saturation, conduct competitive analyses, or power recommendation engines. Because the dataset is a full city‑level export with no sampling, it supports both aggregate statistical work and detailed point‑of‑interest mapping. Access the latest version directly via the provided URL to integrate up‑to‑date restaurant information into your workflows or analyses.

Dataset Details

Field	Value
Full dataset	1,184 records
Sample size	118 records
Location	Aurora
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-aurora-colorado-us-359860")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 1,184 records and unmasked contact data is available at:

All Restaurants in Aurora, Colorado, US on BeamStation

License

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

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