Datasets:

beamstation
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tech-ready-restaurants-in-the-charlotte-concord-gastonia-metro-area-nc-sc-us-139299

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 string	emails_count int64	emails_deliverable_count int64	description float64	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 float64	social_username_twitter float64	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin float64	social_username_linkedin float64	social_profile_youtube float64	social_username_youtube float64	social_profile_github float64	social_username_github float64	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest float64	social_username_pinterest float64	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	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 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_1km_tier_80_100 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 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_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count 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_80_100 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 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 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 float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
PTXGAJZD	Elena's Argentinian Cafe	Food and Drink	Restaurants	Restaurant	Restaurant, Argentinian restaurant, Bakery, Cafe, Caterer, Pasta shop, Pastry shop, Sandwich shop	207 W Main Ave, Gastonia, NC 28052	207 W Main Ave	Gastonia	North Carolina	null	null	28,052	US	true	35.263553	-81.184015	America/New_York	(704) 39-***	2	null	true	true	null	true	Gastonia	North Carolina	US	http	http://elenasargentiniancafe.com	elenasargentiniancafe.com	elenasargentiniancafe.com	com	293	2025-06-19	2026-06-19	Tucows Domains Inc.	purchase_dataset@gmail.com	null	1	1	null	true	false	4.75	568	{"1": 3, "2": 4, "3": 3, "4": 6, "5": 229}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Great coffee, Great dessert, Great tea selection, Serves local specialty	Breakfast, 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	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Table service	Restroom	Casual, Cozy, Quiet, Trendy	Groups	null	Credit cards, Debit cards	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/p/elenas-argentinian-cafe-61571497498270	elenas-argentinian-cafe-61571497498270	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	2026-04-06T14:17:25.154976+00:00	0	3.93	1.7	18,452.82	807.4	280	0.17	95	91.8	95.2	0.634	0.0673	0.043	0.0429	0.0429	0.7314	0.0792	0.1285	52.1	52.1	0	0	100	0	0.61	99.39	0	0.61	99.39	0	0.61	99.39	stable	stable	0.0243	0	0.0001	0	12	163	164	164	98.8	297.6	-77.9	71.9	50.4	8	83	52.3	98	126	111	207	6,942	8,404	10,722	207,021	252,442	300,100	221,676	126	662,453	22	340,894	649,963	119	225,466	657,859	125	520,312	17	286	684	20,493	42,186	734,279	1,460,619	734,279	0.1791	0.1824	0.2674	-0.1151	-0.2244	0.2684	0.1201	0.1787	-0.0528	-0.1357	0.3004	0.1091	0.1479	-0.0418	-0.1049	124	21	118	662,453	588,194	340,894	0.1105	0.2046	0.5426	0.2236	0.7314	34.5	0.33	540	8.7	0.5596	18.2	1.04	-298	56.6	0.0744	649,963	667,070	225,466	0.14	0.1124	0.7022	0.1314	0.0792	40.5	0.32	1,147	6.2	0.406	12.2	1.05	-905	59.1	0.228	657,859	650,434	520,312	0.1225	Below Average	0.1264	0.3072	0.3152	0.1285	Below Average	41	0.37	777	9.7	Emerging	0.4629	11.7	1	-535	55.6	0.1711	22	119	125	378	0	competitive	0.0209	6.68	66.7	28.6	4.8	0	3,323	1,044	competitive	0.0018	1.5	43.2	55.9	0.8	0	6,875	5,108	competitive	0.0025	0.39	38.7	60.5	0.8	0	0.1222	0.1988	-0.0549	-0.1558	160	161	12	63	168	0.9692	0.8406	0.5707	0.9949	0.8432	40.9	0.34	927	9.7	0.4435	11.8	1.03	-685	55.6	0.1905	competitive	0.0016	1.14	34.4	63.8	1.9	0	0.8111	0.17	8.14	0.2331	0.6571	-0.1658	-0.6141	194	195	6,174	9,689	9,458	0.7594	0.6176	0.6349	0.8845	0.7309	59.9	2.09	2,028	28	0.7467	-7.2	-0.72	-1,786	37.3	-0.1127	competitive	0.0006	0.0014	0.59	0.11	0.6795	0.059	0.2307	0.0083	-0.1877	791,801	41.1	0.94	531	20.4	0.4595	11.6	0.43	-289	0.1745	0.8157	0.6158	0.5169	0.9531	0.6381	144,446	0.6661	44.9	303,927	381,849	44.5	8.8	0	46.7	791,802	256	51	4.12	508	10.9	0.4128	22.7	0.6	60	0.4477	0.9882	0.6588	0.5765	0.8392	0.9686	4	54.59	38.77	0.9608	256	19.9	503	575	1.8453	18,452.82	0.19	53,811	75	0.0377	376.92	4.36	454.55	0.03	84.03	0.06	80	0.03	62.11	0	51.28	-26.3	-3.37	-312	-29.8	-36.3	null	null	null	null	null	-0.35	240,898	-0.311	0.27	662,452	0.111	-0.08	155,733	-0.195	0.3	649,959	0.14	-0.06	81,917	-0.099	0.18	657,847	0.123	0.03	-22	0.055	0.81	12	0.969	-0.12	3,033	-0.113	0.68	6,174	0.759	0.634	0	0	568	1.07	32	0.976	0.992	decelerating	1.07	7.47	32	32	163	291	0.996	0.997	0.997	0.976	0.992	3,162	3,267	3,277	2	24	decelerating	-10.43	null	52.78
5QXV3WV9	Miami Fusion Cafe Lincolnton NC	Food and Drink	Restaurants	Cuban restaurant	Cuban restaurant, Bar, Bar & grill, Coffee shop, Latin American restaurant, Nicaraguan restaurant, Spanish restaurant	2667 E Main St, Lincolnton, NC 28092	2667 E Main St	Lincolnton	North Carolina	null	null	28,092	US	true	35.483489	-81.206052	America/New_York	(704) 24-***	2	null	true	true	null	true	Lincolnton	North Carolina	US	https	https://miamifusioncafenc.com	miamifusioncafenc.com	miamifusioncafenc.com	com	2,003	2020-10-13	2027-10-13	GoDaddy.com, LLC	null	null	0	0	null	true	false	4.76	618	{"1": 17, "2": 7, "3": 17, "4": 27, "5": 563}	Outdoor seating, Curbside pickup, Delivery, Drive-through, Takeout, Dine-in	Fast service, Great cocktails, Great coffee, Great dessert, Live music, Serves local specialty, Sports	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Quick bite, Small plates, Wine	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, 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@	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	2026-04-04T21:57:17.907155+00:00	0	5.35	2.2	43,810.3	2,970.1	170.8861	0.05	95.2	93.1	93.4	0.8419	0.8527	0.8454	0.8454	0.8425	0.4976	0.2565	0.167	92.3	92.1	94.83	1.72	3.45	93.97	3.45	2.59	93.97	3.45	2.59	94.12	3.36	2.52	stable	stable	0.0073	0.2	0.0029	0.2	116	232	232	238	100	289.9	50	78.8	85.9	0	50	91.8	96	31	23	37	6,478	8,143	9,884	190,850	244,207	273,974	204,486	31	501,501	7	123,127	606,289	61	521,030	651,035	12	695,188	15	64	102	20,493	42,186	734,279	1,460,619	734,279	0.2714	0.2766	0.2923	0.5945	0.5531	0.5163	0.0562	0.224	0.8149	0.6214	0.3406	0.1616	0.1115	0.7095	0.7339	11	6	60	501,501	401,255	123,127	0.3222	0.4567	0.8348	0.4011	0.4976	39.1	0.66	883	12.8	0.4853	19.7	1.21	-252	23.2	0.3566	606,289	329,856	521,030	0.1967	0.5605	0.3125	0.6509	0.2565	42	0.94	625	19.9	0.4919	16.8	0.93	6	16.1	0.35	651,035	256,560	695,188	0.1313	Average	0.6549	0.0747	0.7979	0.167	Below Average	41.4	1.19	290	26.5	Below Average	0.4871	17.4	0.68	341	9.5	0.3548	7	61	12	571	146	concentrated	0.1064	1.91	66.7	33.3	0	0	3,196	1,181	competitive	0.0166	0.76	48.3	45	6.7	0	7,261	5,075	moderate	0.1649	0.04	63.6	18.2	18.2	0	0.1804	0.1725	0.6907	0.6729	80	81	6	25	33	0.9375	0.7	0.6	0.7125	0.9375	41.5	0.86	607	19	0.5013	17.3	1.01	24	17	0.3406	competitive	0.0128	3.42	53.8	40	6.3	0	0.765	0.05	29.93	0.2353	0.6583	0.6358	0.1871	194	195	2,761	6,826	5,315	0.8928	0.7367	0.7951	0.7754	0.9585	59.6	2.07	2,041	27.5	0.7477	-0.8	-0.2	-1,410	8.5	0.0942	competitive	0.0016	0.0014	0.59	0.11	0.8167	0.059	0.2307	0.8121	0.6147	791,801	41.1	0.94	531	20.4	0.4595	17.7	0.93	100	0.3824	0.8996	0.6514	0.7382	0.6951	0.9196	78,646	0.7767	15.6	275,300	206,994	44.5	8.8	0	46.7	791,802	57	56.1	4.24	526	22.7	0.5036	11.2	0.54	-26	0.3249	0.8571	0.75	0.4286	0.6071	0.9286	9	65.74	26.76	0.8214	57	72.13	139	474	4.381	43,810.3	0.19	53,811	75	0.0379	379.33	113.27	1,428.57	2.74	163.93	272	833.33	1.64	123.46	0.03	51.28	-15.6	-2.82	177	-56.1	4.7	null	null	null	null	null	-0.02	38,698	-0.044	0.52	501,500	0.322	0.12	-18,921	0.035	0.34	606,288	0.197	0.09	3,619	0.006	0.27	651,034	0.131	0.07	-11	0.145	0.77	6	0.938	0.1	-3,798	0.155	0.82	2,761	0.893	0.8419	95.62	1.46	618	5.33	160	0	1	accelerating	5.33	37.33	160	160	232	338	1	1	1	0	1	80	80	80	1	1	accelerating	3.36	null	90.54
NQDQK29N	Florence Wine and Beer Garden	Food and Drink	Restaurants	Restaurant	Restaurant, Bar, Brewery, Cocktail bar, Family restaurant, Italian restaurant, Pasta shop, Vegetarian restaurant, Wine bar	518 S Church St, Mooresville, NC 28115	518 S Church St	Kannapolis	North Carolina	null	null	28,115	US	true	35.575086	-80.817819	America/New_York	(803) 23-***	0	OPERATIONAL	true	false	null	true	Kannapolis	North Carolina	US	https	https://florencewineandbeergarden.com	florencewineandbeergarden.com	florencewineandbeergarden.com	com	211	2025-09-09	2030-09-09	GoDaddy.com, LLC	purchase_dataset@florencewineandbeergarden.com	realdomain	1	1	null	true	false	4.92	1,328	{"1": 6, "2": 9, "3": 19, "4": 206, "5": 4102}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Comfort food, Healthy options, Quick bite, Vegetarian options, Wine	Lunch, Dinner, Counter service, Dessert, Seating	Bar onsite, Restroom	Casual, Trendy	Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	2	2024-03-13	2026-01-05	756	93	57	756	756	93	93	https://www.instagram.com/florence_wineandbeergarden	florence_wineandbeergarden	null	null	null	null	https://www.tiktok.com/@florentinegardensnj	florentinegardensnj	null	null	null	null	null	null	null	null	null	null	4,740	0.59	null	null	0.59	0.59	84	2,867	52	104,600	0.92	null	null	null	4.13	https://florencewineandbeergarden.com/menu	null	null	2026-04-04T17:11:06.851981+00:00	14.63	9.71	0.1	24,012.25	657.7	287.4564	0.11	98.4	100	98.3	0.788	0.2368	0.2251	0.2325	0.2331	0.9895	0.2371	0.3367	61.3	61.7	61.54	0	38.46	59.59	0.41	40	62.35	0.31	37.35	62.2	0.3	37.5	stable	stable	0.0117	-0.4	-0.008	-0.6	26	245	324	328	51.2	198.8	-68.2	84.3	84.5	44	83	65.2	94	2	74	3	320	4,462	399	12,776	138,032	15,778	13,183	2	173,542	12	12,901	555,881	109	443,270	576,326	101	589,944	4	291	607	20,493	42,186	734,279	1,460,619	734,279	0.3031	0.1757	0.3681	0.0635	-0.143	0.7184	0.2483	0.4428	-0.0091	-0.2177	0.3522	0.1799	0.3104	0.0593	-0.0853	100	11	108	173,542	446,682	12,901	0.7627	0.3952	0.9827	0.1157	0.9895	45.7	0.57	1,905	6	0.7848	10.2	0.65	2,437	1.4	0.0032	555,881	443,425	443,270	0.2624	0.4092	0.4151	0.5034	0.2371	43.4	0.67	751	14.5	0.4853	12.5	0.55	3,591	-7.1	0.3027	576,326	379,188	589,944	0.2297	Strong	0.4895	0.2145	0.5595	0.3367	Below Average	44.8	0.84	587	16.2	Below Average	0.5631	11.1	0.38	3,755	-8.8	0.2249	12	109	101	578	181	moderate	0.1717	3.5	27.3	72.7	0	0	3,393	1,081	competitive	0.0508	1.38	39.8	54.6	5.6	0	6,939	5,018	competitive	0.0689	0.32	32	60	8	0	0.2516	0.3988	-0.0124	-0.1737	164	165	5	53	2	0.9894	0.8617	0.9973	0.7367	0.9202	43	0.33	771	8.5	0.5818	12.9	0.89	3,571	-1.1	0.2062	competitive	0.0332	1.77	31.1	65.2	3.7	0	0.9535	0.11	13.28	0.2355	0.6575	0.0037	-0.4324	192	193	4,039	17,167	116	0.842	0.3237	0.9955	0.207	0.9231	59.7	2.09	2,056	27.8	0.7475	-3.8	-0.87	2,286	-20.4	0.0405	competitive	0.0109	0.0014	0.6	0.11	0.7326	0.059	0.2307	0.1802	-0.0056	791,801	41.1	0.94	531	20.4	0.4595	14.8	0.28	3,811	0.3285	0.8649	0.609	0.9914	0.5588	0.8601	105,900	0.8261	-13	309,355	6,786	44.5	8.8	0	46.7	791,802	277	54.3	4.2	450	9.7	0.5173	19	0.77	753	0.4468	0.971	0.7355	0.9819	0.8442	0.9783	9	64.2	33.9	0.9783	277	30.88	324	574	2.3793	23,793.35	0.18	54,372	75	0.0378	378.21	294.7	833.33	25.81	91.74	47.51	99.01	11.03	60.61	1.18	51.81	-27.8	-3.7	3,177	-90.9	22.3	null	null	null	null	null	-0.24	147,906	-0.202	0.72	173,541	0.763	-0.02	70,542	-0.085	0.35	555,874	0.262	0.08	-6,101	0.017	0.3	576,309	0.23	0.01	-14	0.041	0.95	5	0.989	-0.21	3,336	-0.129	0.73	4,039	0.842	0.788	58.62	0	1,328	4.3	129	1	1	accelerating	4.3	30.1	129	129	250	328	1	1	1	1	1	169	171	171	1	1	accelerating	2.4	null	74.32
YYC2YGU9	Botiwalla by Chai Pani	Food and Drink	Restaurants	Indian restaurant	Indian restaurant	Optimist Hall, 1115 N Brevard St UNIT 203, Charlotte, NC 28206	Optimist Hall, 1115 N Brevard St UNIT 203	Charlotte	North Carolina	Optimist Park	Optimist Park	28,206	US	true	35.234166	-80.828036	America/New_York	(980) 29-***	2	null	true	true	null	true	Charlotte	North Carolina	US	http	http://botiwalla.com	botiwalla.com	botiwalla.com	com	3,983	2015-05-13	2026-05-13	IONOS SE	null	null	0	0	null	true	false	4.63	1,169	{"1": 31, "2": 30, "3": 48, "4": 125, "5": 974}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great tea selection	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Quick bite, Small plates, Vegan options, Vegetarian options, Wine	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	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	null	null	null	2026-04-04T12:14:30.726330+00:00	0	26.79	3.9	3,759.58	111.3	174.559	1.61	92.6	100	90.6	0.8166	0.8781	0.9335	0.9316	0.9347	0.7381	0.6253	0.1646	96.7	96.7	95.83	4.17	0	98.41	1.59	0	98.44	1.56	0	98.51	1.49	0	declining	stable	-0.0554	0	-0.0012	0	24	63	64	67	96.9	276.1	14.3	77.4	75	0	50	95.6	94	195	1,845	249	699	11,954	891	23,652	367,401	29,636	25,235	195	347,133	32	528,941	290,716	184	116,041	539,932	186	320,540	27	3,419	7,338	20,493	42,186	734,279	1,460,619	734,279	0.4225	0.1243	0.2534	0.7632	0.6801	0.4296	0.2589	0.3244	0.6286	0.6091	0.6816	0.2027	0.3903	0.6848	0.5432	185	31	183	347,133	415,740	528,941	0.5282	0.437	0.2908	0.4409	0.7381	42	0.63	356	13.8	0.5621	5.3	-0.34	852	-8.5	0.2545	290,716	290,737	116,041	0.6099	0.6122	0.8468	0.5479	0.6253	48.7	1.05	1,487	16	0.6018	-1.4	-0.76	-279	-10.7	0.2148	539,932	397,282	320,540	0.2773	Average	0.4657	0.5728	0.4191	0.1646	Strong	46.1	0.8	1,234	12	Average	0.4857	1.2	-0.51	-26	-6.7	0.3309	32	184	186	427	33	competitive	0.0987	9.87	41.9	54.8	3.2	0	2,787	1,156	competitive	0.0044	2.33	14.2	72.7	13.1	0	7,937	5,011	competitive	0.0053	0.59	28.6	60.5	10.8	0	0.2378	0.5429	0.6497	0.3906	187	188	935	2,868	419	0.7663	0.2792	0.8976	0.119	0.9451	52.4	1	1,758	13.9	0.6911	-5.1	-0.71	-550	-8.6	0.1255	competitive	0.0037	0.23	0.5	81.8	17.6	0	0.6596	1.62	1.12	0.2341	0.6638	0.6534	0.2697	195	196	10,356	20,801	2,532	0.5975	0.1975	0.9024	0.2014	0.9439	59.7	2.08	2,040	27.6	0.7485	-12.4	-1.79	-832	-22.3	0.0681	competitive	0.003	0.0014	0.59	0.11	0.569	0.059	0.2307	0.8285	0.7028	791,801	41.1	0.94	531	20.4	0.4595	6.2	-0.65	677	0.3571	0.6861	0.5258	0.878	0.5353	0.894	246,243	0.6956	-15.1	372,726	96,443	44.5	8.8	0	46.7	791,802	3,154	51	4.04	453	14	0.4263	11.3	0.66	688	0.3886	0.7101	0.6127	0.929	0.5725	0.9125	906	55.38	37.57	0.9328	3,154	2.14	4,677	1,077	0.376	3,759.58	0.19	53,535	75	0.0381	381.06	97.39	312.5	0.2	54.35	0.28	53.76	0.13	53.19	0.09	51.02	-28.4	-4.34	79	-85.4	-4.6	null	null	null	null	null	-0.14	62,130	-0.078	0.43	347,132	0.528	-0.2	162,949	-0.214	0.68	290,712	0.61	-0.17	208,227	-0.267	0.42	539,928	0.277	-0.17	158	-0.04	0.66	935	0.766	-0.26	4,839	-0.181	0.57	10,356	0.598	0.8166	96.15	3.85	1,169	1	30	0.98	0.967	accelerating	1	7	30	30	63	279	0.996	0.996	0.996	0.98	0.967	3,519	3,637	3,648	2	8	accelerating	0.33	null	92.94
CZK8WMAF	Naked Farmer	Food and Drink	Restaurants	New American restaurant	New American restaurant, American restaurant, Takeout Restaurant	2725 South Blvd Suite A, Charlotte, NC 28209	2725 South Blvd Suite A	Charlotte	North Carolina	Sedgefield	Sedgefield	28,209	US	true	35.200365	-80.866308	America/New_York	(704) 64-***	2	CLOSED_TEMPORARILY	true	true	null	true	Charlotte	North Carolina	US	https	https://eatnakedfarmer.com	eatnakedfarmer.com	eatnakedfarmer.com	com	2,367	2019-10-15	2027-10-15	GoDaddy.com, LLC	null	null	0	0	null	true	false	4.8	331	{"1": 5, "2": 7, "3": 8, "4": 19, "5": 388}	Outdoor seating, Delivery, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Healthy options, Organic dishes, Vegan options, Vegetarian options	Lunch, Dinner, Seating	Restroom	Casual	Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	null	Credit cards, Debit cards	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://eatnakedfarmer.com/menu	null	null	2026-04-04T10:03:16.452413+00:00	0	181.08	1.1	3,735.51	110	173.6305	1.63	96	84	94.6	0.8007	0.8273	0.787	0.787	0.787	0.376	0.5491	0.2477	89.3	89.3	95.08	3.83	1.09	94.1	4.26	1.64	94.1	4.26	1.64	94.1	4.26	1.64	stable	stable	0.0403	0	0	0	183	305	305	305	100	300	80	76.7	87.4	0	50	80.5	94	1,587	1,150	2,644	9,747	7,093	16,033	304,185	213,468	465,063	325,713	1,587	556,072	41	233,831	353,575	182	108,403	508,322	186	357,394	11	3,419	7,338	20,493	42,186	734,279	1,460,619	734,279	0.4278	0.1299	0.2662	0.6969	0.5208	0.4411	-0.0007	0.1194	0.8275	0.6676	0.6329	0.1851	0.3679	0.6417	0.4191	185	40	181	556,072	406,045	233,831	0.2505	0.4501	0.6861	0.4894	0.376	37.9	0.65	672	15.1	0.4496	33.6	3.76	-245	52.1	0.3511	353,575	337,326	108,403	0.5268	0.5502	0.8568	0.4622	0.5491	47.6	0.92	1,523	13.2	0.5779	23.9	3.49	-1,096	54	0.2228	508,322	388,186	357,394	0.3185	Average	0.4775	0.5238	0.4828	0.2477	Average	47	0.82	1,155	13.7	Average	0.5277	24.5	3.59	-728	53.5	0.273	41	182	186	551	5	competitive	0.0156	12.73	52.5	40	7.5	0	3,142	1,034	competitive	0.0015	2.3	17.1	71.3	11.6	0	7,215	5,025	competitive	0.002	0.59	23.2	65.9	10.8	0	0.234	0.5411	0.5928	0.2459	186	187	26	376	957	0.9939	0.9082	0.7659	0.9721	0.9324	52.4	0.99	1,756	13.6	0.6891	19.1	3.42	-1,329	53.6	0.1116	competitive	0.0013	0.23	0	82.8	17.2	0	0.8998	1.63	1.11	0.2319	0.6606	0.5949	0.1264	195	196	544	3,162	7,238	0.9786	0.8777	0.7191	0.936	0.9328	59.7	2.08	2,053	27.8	0.7481	11.8	2.33	-1,626	39.4	0.0526	competitive	0.0011	0.0014	0.59	0.11	0.8705	0.059	0.2307	0.7678	0.5563	791,801	41.1	0.94	531	20.4	0.4595	30.4	3.47	-104	0.3412	0.991	0.8929	0.6466	0.9604	0.8759	6,917	0.8582	46.8	84,508	279,381	44.5	8.8	0	46.7	791,802	3,154	51	4.04	453	14	0.4263	21.4	0.69	-311	0.5352	0.9546	0.6248	0.3882	0.9746	0.9683	140	55.38	-55.38	0	3,154	2.13	4,702	1,077	0.3736	3,735.51	0.19	53,535	75	0.0384	383.56	2.45	243.9	0.02	54.95	0.04	53.76	0.02	53.48	0.01	51.02	-1.3	-0.42	325	-28.9	4.4	null	null	null	null	null	0.15	-43,471	0.067	0.44	556,072	0.251	-0.25	241,825	-0.319	0.63	353,575	0.527	-0.16	152,659	-0.194	0.43	508,322	0.319	0.25	-1,075	0.267	0.9	26	0.994	0.25	-7,245	0.29	0.87	544	0.979	0.8007	95.11	3.8	331	6.7	201	1	1	accelerating	6.7	46.9	201	201	305	305	1	1	1	1	1	28	28	28	1	1	accelerating	3.3	null	60
7YWG54VP	NC Mix Grill	Food and Drink	Restaurants	Halal restaurant	Halal restaurant	1618 Jake Alexander Blvd W, Salisbury, NC 28147	1618 Jake Alexander Blvd W	Salisbury	North Carolina	null	null	28,147	US	true	35.682648	-80.506252	America/New_York	(980) 43-***	2	OPERATIONAL	true	true	null	true	Salisbury	North Carolina	US	https	https://ncmixgrill.com	ncmixgrill.com	ncmixgrill.com	com	258	2025-07-24	2026-07-24	NAMECHEAP INC	null	null	0	0	null	true	false	4.99	198	{"1": 0, "2": 0, "3": 0, "4": 1, "5": 203}	Curbside pickup, Delivery, Drive-through, Takeout, Dine-in	null	Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Comfort food, Quick bite	null	null	Casual	null	null	Credit cards, Debit cards	Good for kids	true	true	purchase_dataset@	true	true	2	2025-11-23	2026-01-15	136	83	9	136	136	83	83	https://www.instagram.com/ncmixgrill	ncmixgrill	https://www.facebook.com/ncmixgrill	ncmixgrill	null	null	null	null	null	null	null	null	null	null	null	null	null	null	230	2.27	null	0.87	2.27	2.27	9	null	null	null	null	null	null	null	null	null	null	null	2026-04-04T05:35:41.866881+00:00	0.91	1.89	0.8	35,393.94	812.8	237.3737	0.09	99.8	76.6	100	0.7771	0.7471	0.7487	0.7464	0.7464	null	null	null	87.4	87.3	100	0	0	98.18	0	1.82	98.28	0	1.72	98.28	0	1.72	stable	stable	-0.0016	0.1	0.0023	0.1	19	110	174	174	26.4	152.9	-48.2	79.8	60.2	56	67	74.6	94	113	17	163	11,904	3,556	20,517	386,136	113,575	615,931	413,455	113	null	null	null	null	null	null	null	null	null	1	163	282	20,493	42,186	734,279	1,460,619	734,279	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	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	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	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	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	141	55.6	4.27	541	16.4	0.4659	26.6	0.72	-366	0.5286	1	0.7429	0.3	1	0.9857	1	67.26	32.74	0.9786	141	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	-10	-0.6	44	-14.7	-21.9	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	0.7771	100	0	198	1.03	31	1	1	stable	1.03	7.23	31	31	113	174	null	null	null	1	1	null	null	null	1	1	stable	null	null	44.51

Tech-Ready Restaurants in the Charlotte-Concord-Gastonia Metro Area, NC-SC, US

Free sample dataset from BeamStation

The "Low Hanging Fruit." They have the budget but need the tech. This dataset spotlights restaurants in the Charlotte‑Concord‑Gastonia metro area (NC‑SC) that are well‑established (Beam Score > 70) and showing strong recent sentiment (last‑30‑day score > 10) yet currently lack both online reservation and online ordering capabilities. With 64 records refreshed weekly, it provides a ready‑to‑act list of venues primed for technology adoption and modernization. Users such as hospitality consultants, POS vendors, reservation platform sales teams, and digital transformation advisors can quickly identify prospects that already demonstrate financial stability and customer approval but are missing key digital channels. The dataset includes each establishment’s Beam Score, recent sentiment metric, and flags for missing reservation and ordering features, enabling targeted outreach and tailored solution pitches. For direct access, visit the dataset page at https://beamstation.com/datasets/139299/.

Dataset Details

Field	Value
Full dataset	64 records
Sample size	6 records
Location	Charlotte-Concord-Gastonia, NC-SC
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-the-charlotte-concord-gastonia-metro-area-nc-sc-us-139299")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 64 records and unmasked contact data is available at:

Tech-Ready Restaurants in the Charlotte-Concord-Gastonia Metro Area, NC-SC, US on BeamStation

License

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

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