Datasets:

beamstation
/

tech-ready-restaurants-in-kentucky-us-126011

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place 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 int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain float64	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github float64	social_username_github float64	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links float64	reservation_link float64	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_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	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category float64	beam_rank_competition_5km_total float64	beam_rank_competition_5km_reviews float64	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 float64	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 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 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 float64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_5km_avg_distance_m 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_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_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km float64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
2H92LXQS	Bombay Magic	Food and Drink	Restaurants	Indian restaurant	Indian restaurant, Fusion restaurant, Vegetarian restaurant	8449 US-42 St A-B, Florence, KY 41042	8449 US-42 St A-B	Florence	Kentucky	null	null	41,042	US	true	38.978059	-84.6558	America/New_York	(859) 28-***	2	null	true	true	null	true	Florence	Kentucky	US	http	http://bombaymagicveg.com	bombaymagicveg.com	bombaymagicveg.com	com	330	2025-05-13	2028-05-13	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.76	256	{"1": 3, "2": 4, "3": 8, "4": 15, "5": 230}	Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	All you can eat, Comfort food, Healthy options, Small plates, Vegan options, Vegetarian options	Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Quiet	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	2	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/bombaymagicveg	bombaymagicveg	null	null	null	null	null	null	https://www.youtube.com/channel/ucfea-xmzducrdv2vv14ostg	ucfea-xmzducrdv2vv14ostg	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-04T20:39:39.060890+00:00	0	0.89	1.7	56,400.18	1,117.9	152.7273	0.21	95.2	80.3	93.4	0.8736	0.969	0.745	0.8243	0.8736	0.4592	0.246	0.0735	87.2	93.7	100	0	0	86.84	7.89	5.26	91.8	6.56	1.64	94.14	4.3	1.56	improving	declining	0.224	-6.5	-0.1286	-6.9	12	38	122	256	-37.7	-40.6	-5.3	80.5	72.4	16	83	92.5	96	139	60	243	3,826	2,964	6,621	346,966	245,809	541,556	371,410	139	241,230	21	146,880	536,038	148	216,660	651,035	120	582,056	15	232	490	8,313	16,522	734,279	1,460,619	734,279	0.1991	0.0722	0.2125	0.9012	0.6145	0.5853	0.286	0.285	0.6874	0.542	0.4621	0.1397	0.233	0.8337	0.594	119	20	147	241,230	551,499	146,880	0.6708	0.2537	0.8028	0.0682	0.4592	44.1	0.39	824	4.3	0.4742	7.3	0.16	-564	6.5	0.3994	536,038	418,414	216,660	0.2881	0.4423	0.7139	0.337	0.246	43.9	0.72	1,168	10	0.4884	7.5	-0.17	-908	0.8	0.3852	651,035	546,851	582,056	0.1313	Average	0.2634	0.225	0.3715	0.0735	Average	41.4	0.53	609	10.9	Emerging	0.4161	10	0.02	-349	-0.1	0.4575	21	148	120	553	71	competitive	0.0155	6.37	30	65	5	2,958	1,014	competitive	0.0015	1.87	32	61.9	6.1	0	7,334	5,054	competitive	0.0036	0.38	41.2	53.8	5	0.1507	0.2649	0.8227	0.5621	167	168	26	61	129	0.9056	0.7902	0.5524	0.7902	0.965	43.1	0.6	1,079	8	0.4689	8.3	-0.05	-819	2.8	0.4047	competitive	0.0014	5.75	34.1	61.1	4.8	0.765	0.21	22.53	0.3066	0.6276	0.6668	0.1994	191	192	1,630	4,980	3,217	0.8409	0.4965	0.6897	0.5559	0.9632	54.5	1.04	1,305	16.4	0.7344	-3.1	-0.49	-1,045	-5.6	0.1392	competitive	0.001	0.0018	0.61	0.23	0.6922	0.059	0.2307	0.9144	0.5963	791,801	41.1	0.94	531	20.4	0.4595	10.3	-0.39	-271	0.4141	0.7905	0.5721	0.5325	0.58	0.9448	164,202	0.6476	-9.6	338,150	369,476	44.5	8.8	46.7	791,802	198	54.5	3.99	552	13.6	0.4185	7.8	0.54	-309	0.4477	0.6091	0.6041	0.3706	0.7056	0.9594	78	61.59	32.61	0.9645	198	52.28	191	1,100	5.64	56,400.18	0.42	23,591	43	0.0553	553.21	2.41	476.19	0.02	67.57	0.13	83.33	0.02	59.52	0.01	52.08	-27.4	-4.23	26	-83.2	-5.1	null	null	null	null	null	-0.14	110,025	-0.147	0.59	241,229	0.671	-0.04	174,219	-0.223	0.46	536,036	0.288	0	73,425	-0.088	0.2	651,033	0.131	0.02	-7	0.018	0.77	26	0.906	-0.06	536	-0.049	0.69	1,630	0.841	0.8736	100	0	256	0.67	20	1	0.969	accelerating	0.67	4.67	20	20	30	220	0.992	0.993	0.993	1	0.969	6,676	6,931	6,948	1	2	accelerating	0.34	null	95.24
G8QPF8VB	Yummy Bowl (stir fry Mongolian grill and sushi)	Food and Drink	Restaurants	Restaurant	Restaurant	2060 S Hurstbourne Pkwy, Louisville, KY 40220	2060 S Hurstbourne Pkwy	Hurstbourne Acres	Kentucky	null	null	40,220	US	true	38.217544	-85.589338	America/New_York	(502) 29-***	2	null	true	true	null	true	Hurstbourne Acres	Kentucky	US	https	https://ybyummybowl.com	ybyummybowl.com	ybyummybowl.com	com	410	2025-02-22	2027-02-22	Cloudflare, Inc.	purchase_dataset@beyondmenu.com, purchase_dataset@theyummybowl.com	null	2	0	2	null	true	false	4.62	314	{"1": 9, "2": 8, "3": 12, "4": 33, "5": 249}	Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Comfort food, Healthy options, Quick bite, Vegan options, Vegetarian options, Wine	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Trendy	College students, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	2	2025-11-17	2026-01-05	142	93	24	142	142	93	93	https://www.instagram.com/theyummy_bowl	theyummy_bowl	https://www.facebook.com/theyummybowl	theyummybowl	null	null	null	null	null	null	null	null	null	null	null	null	null	null	1,057	0.18	null	null	0.18	0.18	788	null	null	null	null	null	null	null	null	https://ybyummybowl.com/dzkesxih/ybs-yummy-bowl-louisville-40220/menu	null	null	2026-04-04T19:35:42.441234+00:00	5.39	0.69	0.7	49,178.8	1,156.3	5.0598	0.2	92.4	83.3	90.6	0.7069	0.0986	0.3028	0.5366	0.6589	0.1628	0.1696	0.4556	65.1	82.9	0	0	100	25.58	0	74.42	61.02	5.93	33.05	74.29	6.12	19.59	declining	declining	-0.2042	-17.8	-0.3561	-21.5	12	43	118	245	-27.1	-29.8	-16.3	76.4	70.9	32	83	61.3	94	6	5	9	3,489	4,562	5,912	313,236	382,141	481,141	335,378	6	506,557	70	132,681	570,905	167	286,682	469,630	164	404,794	26	10	18	8,313	16,522	734,279	1,460,619	734,279	0.3673	0.1586	0.4173	-0.0619	-0.3518	0.5246	0.1601	0.1667	-0.0634	-0.1012	0.3762	0.1366	0.2474	-0.0399	-0.1819	163	69	166	506,557	365,044	132,681	0.3157	0.5056	0.822	0.5175	0.1628	39	0.74	858	15.9	0.3713	9.1	-0.24	-547	-5.6	0.3356	570,905	518,039	286,682	0.2429	0.3085	0.6215	0.3418	0.1696	43	0.54	1,020	10.1	0.459	5.1	-0.04	-709	0.2	0.2479	469,630	540,416	404,794	0.3685	Average	0.2724	0.4608	0.2338	0.4556	Below Average	47.9	0.54	1,052	8.1	Below Average	0.6049	0.2	-0.04	-741	2.2	0.102	70	167	164	507	6	competitive	0.0052	21.96	53.6	42	4.3	3,672	1,077	competitive	0.0018	2.11	33.1	59	7.8	0	7,607	5,036	competitive	0.0018	0.52	9.2	84.7	6.1	0.4235	0.4772	-0.3268	-0.4117	10	11	7	5	6	0.4545	0.6364	0.5455	0.6364	0.3636	45.5	1.06	961	26.1	0.5717	2.6	-0.56	-650	-15.8	0.1352	moderate	0.0314	11.11	40	50	10	0.5364	0.21	23.25	0.3099	0.6261	-0.2132	-0.5606	191	192	2,593	6,376	3,019	0.7476	0.3604	0.7091	0.4323	0.819	54.5	1.04	1,310	16.7	0.7341	-6.4	-0.54	-999	-6.4	-0.0272	competitive	0.0012	0.0018	0.61	0.23	0.6199	0.059	0.2307	0.0377	-0.1652	791,801	41.1	0.94	531	20.4	0.4595	7	-0.44	-220	0.2474	0.7087	0.5663	0.5728	0.5777	0.7442	228,446	0.6252	-10.1	341,579	337,734	44.5	8.8	46.7	791,802	9	62	4.48	572	24.3	0.6273	1.7	-0.31	-270	0.1457	0.375	0	0.375	0.5	0.625	6	58.98	30.63	0.75	9	51.1	196	2,174	4.909	49,090.44	0.42	23,591	43	0.0555	555.1	0.27	142.86	0.03	59.88	0.03	60.98	9.83	909.09	0.02	52.08	-30.3	-4.1	17	-77.5	-5.3	null	null	null	null	null	0.15	-32,222	0.051	0.52	506,554	0.316	-0.18	270,547	-0.349	0.38	570,879	0.243	-0.24	196,285	-0.254	0.37	469,577	0.369	-0.05	2	-0.182	0.54	7	0.455	-0.11	1,432	-0.136	0.62	2,593	0.748	0.7069	0	0	314	0.53	16	0	0.983	accelerating	0.53	3.73	16	16	34	109	0.989	0.989	0.989	0	0.983	9,446	9,824	9,843	1	16	accelerating	0.1	null	80.19
AQUK96BB	Mirage Mediterranean	Food and Drink	Restaurants	Mediterranean restaurant	Mediterranean restaurant	4100 Preston Hwy, Louisville, KY 40213	4100 Preston Hwy	Louisville	Kentucky	Prestonia	Prestonia	40,213	US	true	38.192588	-85.72868	America/New_York	(502) 36-***	2	OPERATIONAL	true	true	null	true	Louisville	Kentucky	US	http	http://miragemediterranean.com	miragemediterranean.com	miragemediterranean.com	com	4,799	2013-02-16	2027-02-16	Name.com, Inc.	purchase_dataset@gmail.com	null	1	1	0	Casual option with a patio offering kebabs, falafel & other classic comfort fare, plus pastries.	true	true	4.54	1,045	{"1": 61, "2": 29, "3": 71, "4": 234, "5": 1035}	Outdoor seating, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee, Great dessert, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Vegetarian options	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet, Trendy	Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2025-06-04	2026-03-09	308	30	81	308	308	30	30	https://www.instagram.com/mirage.mediterranean	mirage.mediterranean	https://www.facebook.com/p/mirage-mediterranean-restaurant-100083238853498	mirage-mediterranean-restaurant-100083238853498	https://twitter.com/miragecincy	miragecincy	https://www.tiktok.com/@mirajgrill	mirajgrill	https://www.linkedin.com/in/charlotte-richardson-171b2a179	charlotte-richardson-171b2a179	null	null	null	null	null	null	null	null	9,126	0.11	null	null	0.11	0.11	156	996	118	101,100	7.53	1.53	3.02	2.56	7.53	null	null	null	2026-04-04T17:41:48.890264+00:00	5.71	4.73	0	9,066.4	62.9	108.0893	1.72	90.8	100	89.4	0.788	0.8366	0.7724	0.8249	0.7977	0.099	0.2429	0.6741	88.6	89.9	90	0	10	90	6.67	3.33	91.53	5.08	3.39	90.78	7.09	2.13	improving	stable	0.0642	-1.3	-0.0253	-1.4	10	30	59	141	1.7	-14.9	0	89.4	70.5	92	100	89.1	94	132	818	173	780	5,498	1,151	74,692	466,157	99,169	80,561	132	645,200	12	278,830	449,058	166	314,067	314,205	157	250,063	31	978	2,146	8,313	16,522	734,279	1,460,619	734,279	0.5495	0.1684	0.5247	0.6682	0.2492	0.2611	0.2142	0.138	0.6224	0.6359	0.4983	0.0742	0.3508	0.7624	0.4231	156	11	165	645,200	693,107	278,830	0.1331	0.0672	0.6258	0.3256	0.099	35.2	0.13	612	11	0.3302	24.3	0.12	818	-7.3	0.4578	449,058	345,164	314,067	0.4016	0.5403	0.5854	0.5307	0.2429	45.8	0.9	967	15.4	0.4874	13.7	-0.65	463	-11.7	0.3006	314,205	444,079	250,063	0.5724	Below Average	0.4019	0.6667	0.3003	0.6741	Average	50.3	0.7	1,383	9.4	Average	0.6694	9.2	-0.45	47	-5.7	0.1186	12	166	157	741	82	moderate	0.1752	3.5	72.7	27.3	0	3,851	1,327	competitive	0.0089	2.1	27.9	62.4	9.7	0	7,469	5,014	competitive	0.0066	0.5	3.8	83.3	12.8	0.1742	0.5188	0.6624	0.2551	154	155	47	479	131	0.9598	0.5721	0.8865	0.524	0.8725	50.6	0.79	1,348	11.1	0.6895	8.9	-0.54	82	-7.4	0.0985	competitive	0.0068	0.9	3.2	83.1	13.6	0.8215	1.73	3.17	0.3072	0.6261	0.5294	0.1478	190	191	479	8,232	659	0.9535	0.2064	0.9364	0.2071	0.9076	54.4	1.03	1,317	16.2	0.7342	5.1	-0.78	113	-12.5	0.0538	competitive	0.0057	0.0018	0.61	0.23	0.7242	0.059	0.2307	0.7776	0.5432	791,801	41.1	0.94	531	20.4	0.4595	18.4	-0.69	899	0.3285	0.9071	0.5107	0.9063	0.5018	0.8601	72,749	0.7879	-16.7	383,796	74,133	44.5	8.8	46.7	791,802	880	50.5	4.17	386	16.7	0.4278	27	0.5	648	0.3644	0.9886	0.5415	0.8635	0.5984	0.8669	11	53.21	37.22	0.8396	880	6.26	1,598	1,434	0.8432	8,431.51	0.42	23,715	43	0.0556	555.52	306.96	833.33	0.79	60.24	0.43	63.69	0.47	64.52	0.32	52.36	-25.8	-4.29	405	-85.8	15	null	null	null	null	null	0.07	-16,918	0.033	0.26	645,199	0.133	-0.1	157,966	-0.203	0.5	449,056	0.402	-0.15	127,677	-0.166	0.55	314,200	0.572	-0.02	22	-0.019	0.82	47	0.96	-0.14	378	-0.036	0.72	479	0.954	0.788	90	0	1,045	0.5	15	1	0.931	accelerating	0.5	3.5	15	15	28	119	0.988	0.988	0.988	1	0.931	10,355	10,774	10,795	1	2	accelerating	0.27	null	90.02
WSAGCUK9	Esters Farm Cafe & Catering	Food and Drink	Restaurants	Restaurant	Restaurant, Caterer, Event venue	4900 Park City-Bon Ayr Rd, Park City, KY 42160	4900 Park City-Bon Ayr Rd	Park City	Kentucky	null	null	42,160	US	true	37.088716	-86.053789	America/Chicago	(270) 54-***	2	null	true	true	null	true	Park City	Kentucky	US	https	https://estersfarm.com	estersfarm.com	estersfarm.com	com	5,088	2012-05-03	2028-05-03	Register.com - Network Solutions, LLC	purchase_dataset@gmail.com, purchase_dataset@outlook.com	null	2	2	0	null	true	false	4.64	169	{"1": 3, "2": 3, "3": 11, "4": 18, "5": 135}	Outdoor seating, Curbside pickup, Onsite services, Takeout, Dine-in	Great coffee, Great dessert, Live music, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Coffee, Comfort food, Healthy options, Private dining room, Quick bite, Vegetarian options	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Historic, Quiet, Trendy	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2026-01-01	2026-02-25	97	42	24	97	97	42	42	https://www.instagram.com/estersfarm_parkcityky	estersfarm_parkcityky	https://www.facebook.com/estersfarm	estersfarm	null	null	null	null	https://www.linkedin.com/in/gabe-esters-ba0798a4	gabe-esters-ba0798a4	null	null	null	null	null	null	https://www.pinterest.com/estersfarm	estersfarm	1,213	1.56	null	1.94	1.56	1.56	705	null	null	null	null	null	null	null	null	https://estersfarm.com	null	null	2026-04-04T16:52:04.205080+00:00	5.92	0.62	0	18,161.71	515.6	24.8447	0.19	92.8	74.3	89.9	0.8186	0.6133	0.709	0.8022	0.8022	0.926	null	0.0655	85.5	90.1	81.82	18.18	0	84.62	11.54	3.85	89.13	6.52	4.35	89.13	6.52	4.35	declining	declining	-0.0957	-4.6	-0.0932	-5.1	11	26	46	46	13	126.1	26.9	83.3	69.5	72	83	88.1	94	2	2	3	4,443	4,316	7,997	408,393	361,934	660,606	437,385	2	385,694	3	391,020	null	null	null	657,859	21	371,562	21	4	6	8,313	16,522	734,279	1,460,619	734,279	0.3437	0.0472	0.1706	0.5661	0.5559	0.3534	0.4225	0.4298	0.1908	0.2967	null	null	null	null	null	20	2	null	385,694	693,107	391,020	0.4766	0.0672	0.4755	0.0424	0.926	41.3	0.13	487	2.6	0.6683	14.8	0.56	-317	10.3	0.1503	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	657,859	388,186	371,562	0.1225	Below Average	0.4775	0.505	0.5911	0.0655	null	41	0.82	1,125	17.4	Below Average	0.4071	15.1	-0.13	-955	-4.5	0.4115	3	null	21	692	682	concentrated	0.1486	0.64	50	50	0	null	null	null	null	null	null	null	null	null	8,629	6,657	competitive	0.0075	0.06	45	45	10	0.3319	0.2115	0.2814	0.515	3	4	1	1	2	1	1	0.6667	1	0.6667	42.6	0.14	366	2.5	0.5265	13.5	0.55	-196	10.4	0.2921	concentrated	0.1341	0.79	33.3	66.7	0	0.9	0.22	20.81	0.3047	0.6244	0.3086	0.1021	191	192	803	3,522	3,776	0.9217	0.6576	0.6358	0.6711	0.9333	54.5	1.04	1,316	16.4	0.7341	1.6	-0.35	-1,146	-3.5	0.0845	competitive	0.0007	0.0018	0.61	0.23	0.7567	0.059	0.2307	0.5543	0.4958	791,801	41.1	0.94	531	20.4	0.4595	15	-0.25	-361	0.3591	0.8676	0.5833	0.4461	0.5893	0.8962	103,813	0.6559	-7.5	329,527	437,633	44.5	8.8	46.7	791,802	4	59.5	4.49	314	3.4	0.6081	12.6	0.22	-156	0.2237	1	0.3333	0.6667	1	0.6667	1	84.47	10.05	0.6667	4	48.86	205	161	1.7883	17,882.74	0.42	23,591	43	0.0558	557.86	220.82	3,333.33	null	null	0.56	476.19	179.75	2,500	0	52.08	-26.2	-3.95	15	-77.4	-1.4	null	null	null	null	null	-0.4	230,364	-0.308	0.35	385,693	0.477	0	0	0	0	-1	0	0.19	-11,094	0.026	0.34	657,857	0.123	0.1	0	0	0.9	1	1	0.02	393	-0.037	0.76	803	0.922	0.8186	81.82	18.18	169	0.43	13	0.973	0.973	accelerating	0.43	3.03	13	13	24	41	0.985	null	0.985	0.973	0.973	12,740	null	13,284	2	24	accelerating	0.13	null	92.22
KWRMSREU	Milano Italian restaurant	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Caterer, Lunch restaurant	1745 Midland Trail, Shelbyville, KY 40065	1745 Midland Trail	Shelbyville	Kentucky	null	null	40,065	US	true	38.213356	-85.24575	America/New_York	(502) 43-***	2	null	true	true	null	true	Shelbyville	Kentucky	US	http	http://milanoky.com	milanoky.com	milanoky.com	com	1,238	2022-11-17	2026-11-17	Cloudflare, Inc.	null	null	0	0	0	null	true	false	4.26	1,062	{"1": 93, "2": 49, "3": 72, "4": 188, "5": 771}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great cocktails, Great dessert, Great wine list, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Private dining room, Small plates, Vegetarian options, Wine	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards	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/p/milano-italian-restaurant-61583012701728	milano-italian-restaurant-61583012701728	null	null	null	null	https://www.linkedin.com/in/marcoleojazz	marcoleojazz	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://milano-ky.com	null	null	2026-04-04T13:59:30.733928+00:00	0	0.81	2	20,726.77	674.5	86.758	0.32	85.2	100	81.1	0.6285	0.1816	0.1468	0.2933	0.3597	0.5425	0.0599	0.0541	57.3	68	60	40	0	51.72	41.38	6.9	61.02	33.9	5.08	65.25	30.51	4.24	stable	declining	0.0348	-10.7	-0.2129	-15.7	10	29	59	118	-1.7	-1.7	3.4	71.7	68.5	16	67	61.6	94	3	35	3	627	9,003	925	62,874	783,961	82,278	67,877	3	637,064	17	517,038	510,371	37	403,933	727,845	24	670,727	43	60	104	8,313	16,522	734,279	1,460,619	734,279	0.1155	0.0046	0.1444	0.1275	-0.1087	0.1605	0.0961	0.3583	0.036	-0.3226	0.4263	-0.0665	0.245	0.1986	-0.2093	23	16	36	637,064	714,942	517,038	0.1438	0.0367	0.3066	0.0745	0.5425	35.5	0.08	367	4.6	0.4983	8.2	0.09	806	-2	0.1302	510,371	356,493	403,933	0.3218	0.525	0.4668	0.5842	0.0599	44.5	0.87	814	17.3	0.3872	-0.8	-0.7	359	-14.7	0.2413	727,845	567,121	670,727	0.0308	Emerging	0.2368	0.1071	0.3531	0.0541	Average	34.9	0.5	367	10.5	Emerging	0.392	8.8	-0.33	806	-7.9	0.2365	17	37	24	522	101	competitive	0.1665	5.09	75	25	0	2,889	1,104	competitive	0.0385	0.46	25	69.4	5.6	0	9,194	8,270	competitive	0.122	0.07	69.6	26.1	4.3	0.001	0.2946	0.1311	-0.2589	56	57	27	23	8	0.5254	0.6271	0.8814	0.5763	0.6949	41.9	0.69	640	13.7	0.4542	1.8	-0.52	533	-11.1	0.1743	competitive	0.0317	2.13	39.3	55.4	5.4	0.6627	0.33	13.58	0.3107	0.6272	-0.1786	-0.5915	191	192	4,092	8,415	906	0.6023	0.1857	0.9127	0.1874	0.7244	54.5	1.04	1,310	16.4	0.7348	-10.8	-0.87	-137	-13.8	-0.1063	competitive	0.0047	0.0018	0.61	0.23	0.5704	0.059	0.2307	0.0731	-0.195	791,801	41.1	0.94	531	20.4	0.4595	2.6	-0.77	642	0.169	0.5767	0.4574	0.8727	0.4451	0.6307	332,818	0.6297	-17.8	421,576	100,702	44.5	8.8	46.7	791,802	52	53.8	4.21	422	19	0.4699	7.7	-0.21	629	0.1682	0.5686	0.2549	0.9804	0.4706	0.6471	23	67.99	18.03	0.6275	52	32.4	309	657	2.0727	20,726.77	0.42	23,591	43	0.0555	555.25	277.3	588.24	14.82	270.27	148.77	416.67	10.05	175.44	0.22	52.08	-29	-4.09	125	-78.6	-4.5	null	null	null	null	null	-0.22	150,055	-0.19	0.16	637,063	0.144	0.21	-90,216	0.128	0.43	510,370	0.322	0.05	14,286	-0.006	0.12	727,844	0.031	-0.06	11	-0.182	0.66	27	0.525	-0.13	1,231	-0.114	0.57	4,092	0.602	0.6285	54.55	45.45	1,062	0.37	11	1	0.971	accelerating	0.37	2.57	11	11	26	109	0.98	0.981	0.981	1	0.971	16,343	17,025	17,062	1	3	accelerating	0	null	84.61

Tech-Ready Restaurants in Kentucky, US

Free sample dataset from BeamStation

The "Tech-Ready Restaurants in Kentucky, US" dataset contains 50 records of well‑established dining establishments across the state that show strong recent performance but have not yet adopted key digital conveniences. Each entry includes a Beam Score above 70, indicating solid brand health and operational stability, and a sentiment score from the last 30 days exceeding 10, reflecting positive customer feedback. Despite these strengths, the restaurants lack both online reservation systems and online ordering capabilities, marking them as prime candidates for technology‑focused upgrades. Updated on a weekly basis, the dataset provides a current snapshot of where investment in reservation platforms, mobile ordering, or integrated POS solutions could yield immediate returns. It is useful for technology vendors, consultants, and investors seeking to identify low‑hanging fruit in the hospitality sector—businesses with the budget and readiness to modernize but still reliant on traditional, offline processes. By focusing on Kentucky’s restaurant landscape, the file enables targeted outreach, market sizing, and partnership planning for firms offering reservation or ordering solutions. Access the full dataset at https://beamstation.com/datasets/126011/.

Dataset Details

Field	Value
Full dataset	50 records
Sample size	5 records
Location	Kentucky
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/tech-ready-restaurants-in-kentucky-us-126011")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 50 records and unmasked contact data is available at:

Tech-Ready Restaurants in Kentucky, US on BeamStation

License

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

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