Datasets:

beamstation
/

tech-ready-restaurants-in-south-carolina-us-320268

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 float64	neighborhood float64	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	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 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 int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count 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 int64	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
QF2FXH8U	CAVA	Food and Drink	Restaurants	Mediterranean restaurant	Mediterranean restaurant	2123 Augusta St A, Greenville, SC 29605	2123 Augusta St A	Greenville	South Carolina	null	null	29,605	US	true	34.824713	-82.393132	America/New_York	(864) 53-***	2	null	true	true	null	true	Greenville	South Carolina	US	http	http://cava.com	cava.com	cava.com	com	10,722	1996-11-26	2026-11-25	Amazon Registrar, Inc.	null	null	0	0	0	"Mediterranean restaurant for thoughtful food with customizable greens & grains bowls, pitas & salad(...TRUNCATED)	true	true	4.61	804	{"1": 40, "2": 16, "3": 25, "4": 58, "5": 660}	Outdoor seating, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Healthy options, Organic dishes, Quick bite, Vegan options, Vegetarian options	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Quiet, Trendy	College students, Family-friendly, Groups, Tourists	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	https://cava.com/menu	null	null	2026-04-06T08:23:46.493166+00:00	0	1.64	2.4	32,550.34	1,212.3	210.2908	0.57	92.2	96.9	89.9	0.7921	0.6159	0.5982	0.6905	0.7186	0.779	0.6295	0.2245	79.9	85.9	83.33	16.67	0	80	16.67	3.33	85.32	11.93	2.75	86.24	11.01	2.75	stable	declining	0.0177	-6	-0.1204	-7	12	60	109	218	10.1	10.1	-40	75.7	72.4	0	67	77.8	98	169	456	301	2,455	6,795	4,108	138,171	389,328	193,040	148,776	169	274,904	27	368,728	527,530	148	283,644	578,924	186	379,516	41	631	1,300	10,795	22,281	734,279	1,460,619	734,279	0.35	0.1356	0.2972	0.4262	0.15	0.483	0.0959	0.247	0.4659	0.2002	0.3784	0.2234	0.3634	0.3384	0.0838	185	26	147	274,904	538,997	368,728	0.6256	0.2705	0.5053	0.1802	0.779	43.4	0.41	510	7.7	0.5786	2.2	-0.16	285	-2.8	0.2135	527,530	571,723	283,644	0.299	0.2371	0.6256	0.2984	0.6295	44.1	0.46	1,026	9.2	0.6031	1.5	-0.21	-231	-4.3	0.189	578,924	466,905	379,516	0.2263	Average	0.3705	0.4944	0.3852	0.2245	Below Average	44.7	0.66	1,108	11.2	Below Average	0.5171	0.9	-0.41	-313	-6.3	0.275	27	148	186	324	1	competitive	0.0566	8.28	23.1	76.9	0	3,181	1,356	competitive	0.0052	1.87	25.9	68	6.1	7,730	5,046	competitive	0.0039	0.59	28.6	64.9	6.5	0.1603	0.3562	0.4015	0.091	187	188	148	259	172	0.8344	0.7146	0.8137	0.7233	0.9237	46.2	0.57	1,231	8.1	0.5982	-0.6	-0.32	-436	-3.2	0.1939	competitive	0.0034	2.36	22.5	70.6	7	0.7923	0.57	12.22	0.3439	0.6822	0.2179	-0.235	195	196	5,726	12,244	1,643	0.6075	0.17	0.8888	0.1772	0.929	57.1	1.51	2,270	23	0.7431	-11.5	-1.26	-1,475	-18.1	0.049	competitive	0.0018	0.0024	0.58	0.22	0.5606	0.059	0.2307	0.5028	0.2165	791,801	41.1	0.94	531	20.4	0.4595	4.5	-0.69	264	0.3326	0.6354	0.5107	0.7917	0.5293	0.8653	286,278	0.6449	-15.5	383,796	164,658	44.5	8.8	46.7	791,802	558	52.4	4.2	473	12.8	0.4669	11.3	-0.02	331	0.337	0.6966	0.2962	0.7325	0.6481	0.8977	169	56.39	35.18	0.9138	558	26.44	378	894	3.255	32,550.34	0.38	26,248	62	0.0865	864.73	32.03	370.37	0.27	67.57	0.15	53.76	0.12	53.19	0.03	51.02	-30.5	-4.36	9	-85	-3	null	null	null	null	null	-0.28	195,663	-0.265	0.48	274,902	0.626	-0.39	363,217	-0.475	0.38	527,527	0.299	-0.18	212,127	-0.272	0.35	578,919	0.226	0.07	-74	0.083	0.79	148	0.834	-0.2	2,757	-0.183	0.56	5,726	0.608	0.7921	76.92	15.38	804	0.67	20	0.909	0.981	accelerating	0.67	4.67	20	20	40	191	0.992	0.993	0.993	0.909	0.981	6,676	6,931	6,948	2	2	accelerating	-0.63	null	90.33
2YYDTBDU	CAVA	Food and Drink	Restaurants	Mediterranean restaurant	Mediterranean restaurant	1156 Woodruff Rd, Greenville, SC 29607	1156 Woodruff Rd	Greenville	South Carolina	null	null	29,607	US	true	34.82641	-82.29956	America/New_York	(864) 79-***	2	OPERATIONAL	true	true	null	true	Greenville	South Carolina	US	http	http://cava.com	cava.com	cava.com	com	10,722	1996-11-26	2026-11-25	Amazon Registrar, Inc.	null	null	0	0	0	"Mediterranean restaurant for thoughtful food with customizable greens & grains bowls, pitas & salad(...TRUNCATED)	true	true	4.46	1,083	{"1": 90, "2": 36, "3": 31, "4": 59, "5": 863}	Outdoor seating, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Comfort food, Healthy options, Organic dishes, Quick bite, Vegan options, Vegetarian optio(...TRUNCATED)	Lunch, Dinner, Counter service, Dessert, Seating	Bar onsite, Restroom	Casual, Trendy	College students, Family-friendly, Groups, Tourists	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	https://cava.com/menu	null	null	2026-04-06T08:08:05.449866+00:00	0	3.19	1.9	32,510.32	1,211.8	210.2908	0.57	89.2	100	85.5	0.7081	0.8554	0.5831	0.6323	0.6925	0.3809	0.3723	0.3381	79.2	84.6	96.15	3.85	0	79.85	19.4	0.75	82.3	16.87	0.82	85.12	13.88	1	improving	declining	0.2723	-5.4	-0.1094	-6.4	26	134	243	598	10.3	-10.4	-41.8	73.2	61.7	0	67	77.8	98	66	666	106	817	9,542	1,299	51,369	561,944	65,674	55,343	66	274,904	55	32,288	514,621	138	246,215	622,284	187	488,069	54	631	1,300	10,795	22,281	734,279	1,460,619	734,279	0.2286	0.218	0.3354	0.5077	0.1465	0.6643	0.1276	0.2849	0.5981	0.197	0.4389	0.1576	0.3392	0.5681	0.1427	186	54	137	274,904	425,710	32,288	0.6256	0.4234	0.9567	0.3169	0.3809	43.4	0.61	1,383	10.8	0.4511	2.4	-0.14	-305	-2	0.257	514,621	474,835	246,215	0.3162	0.3667	0.6749	0.4378	0.3723	44.4	0.61	1,102	12.5	0.5274	1.4	-0.14	-24	-3.7	0.1807	622,284	605,221	488,069	0.1693	Strong	0.1861	0.35	0.3761	0.3381	Average	42.9	0.44	862	11	Below Average	0.5636	2.9	0.03	216	-2.2	0.1445	55	138	187	521	56	competitive	0.0142	17.19	37	57.4	5.6	3,552	1,026	competitive	0.0071	1.74	24.8	68.6	6.6	8,022	5,009	competitive	0.0067	0.59	32.3	62.4	5.4	0.1595	0.356	0.5662	0.1259	187	188	138	185	133	0.8464	0.7974	0.8551	0.7941	0.8497	46.2	0.57	1,229	8.1	0.5986	-0.4	-0.1	-151	0.7	0.1095	competitive	0.0047	2.36	22.5	70.6	7	0.8343	0.57	12.22	0.349	0.6824	0.3767	-0.2005	195	196	5,664	12,031	1,207	0.6125	0.1848	0.9181	0.1866	0.8326	57.2	1.53	2,269	23.4	0.7439	-11.4	-1.06	-1,191	-14.6	-0.0358	competitive	0.0024	0.0024	0.58	0.22	0.5759	0.059	0.2307	0.6667	0.2512	791,801	41.1	0.94	531	20.4	0.4595	4.7	-0.47	547	0.2486	0.6416	0.563	0.8568	0.5689	0.746	281,403	0.6826	-11.6	345,154	113,271	44.5	8.8	46.7	791,802	558	52.4	4.2	473	12.8	0.4669	12.3	-0.06	610	0.2639	0.7361	0.2675	0.8941	0.7558	0.7953	148	56.39	31.48	0.8294	558	26.44	378	894	3.251	32,510.32	0.38	26,248	62	0.0864	864.39	2.02	181.82	0.5	72.46	0.45	53.48	0.22	53.19	0.06	51.02	-30.3	-3.99	30	-76.6	-21.3	null	null	null	null	null	0.03	10,940	-0.01	0.66	274,903	0.626	-0.2	248,194	-0.321	0.44	514,617	0.316	-0.39	322,266	-0.418	0.23	622,278	0.169	0.11	-84	0.095	0.83	138	0.846	-0.19	2,695	-0.178	0.58	5,664	0.613	0.7081	87.5	9.38	1,083	1.3	39	1	1	stable	1.3	9.1	39	39	103	416	0.997	0.998	0.998	1	1	2,276	2,358	2,368	1	1	stable	-1.53	null	86.58
3DU77UD5	CAVA	Food and Drink	Restaurants	Mediterranean restaurant	Mediterranean restaurant	586 Haywood Rd, Greenville, SC 29607	586 Haywood Rd	Greenville	South Carolina	null	null	29,607	US	true	34.847226	-82.339033	America/New_York	(864) 52-***	2	OPERATIONAL	true	true	null	true	Greenville	South Carolina	US	http	http://cava.com	cava.com	cava.com	com	10,722	1996-11-26	2026-11-25	Amazon Registrar, Inc.	null	null	0	0	0	"Mediterranean restaurant for thoughtful food with customizable greens & grains bowls, pitas & salad(...TRUNCATED)	true	true	4.67	816	{"1": 39, "2": 10, "3": 16, "4": 55, "5": 695}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Healthy options, Organic dishes, Quick bite, Vegan options, Vegetarian options	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://cava.com/menu	null	null	2026-04-06T08:05:39.334170+00:00	0	1.15	2.6	32,547.79	1,212.6	210.2908	0.57	93.4	97.1	92	0.819	0.4325	0.6757	0.7467	0.8085	0.2677	0.491	0.3985	83.8	90.4	72.73	27.27	0	85.71	14.29	0	88.75	11.25	0	91.12	7.48	1.4	declining	declining	-0.2432	-6.6	-0.1328	-7.3	11	42	80	214	5	-21.5	-21.4	76.6	70.1	0	67	82.1	98	168	375	297	2,400	5,749	4,011	135,292	325,410	188,745	145,724	168	461,017	58	182,764	439,038	138	170,553	596,956	186	476,215	38	631	1,300	10,795	22,281	734,279	1,460,619	734,279	0.2465	0.1782	0.3479	0.3016	0.2073	0.5059	0.0621	0.223	0.4177	0.3322	0.506	0.2186	0.3573	0.2612	0.1979	185	57	137	461,017	420,715	182,764	0.3761	0.4303	0.7547	0.3475	0.2677	39.9	0.62	752	11.5	0.4151	5.4	-0.46	61	-8.5	0.4039	439,038	480,548	170,553	0.4149	0.3588	0.7748	0.3181	0.491	46	0.6	1,287	9.6	0.5608	-0.7	-0.44	-474	-6.6	0.2582	596,956	605,221	476,215	0.2024	Average	0.1861	0.3658	0.3198	0.3985	Average	44	0.44	890	9.8	Below Average	0.5855	1.3	-0.28	-77	-6.8	0.2335	58	138	186	462	10	competitive	0.0186	18.14	49.1	45.6	5.3	3,164	1,019	competitive	0.0046	1.74	19.7	73.7	6.6	6,816	5,147	competitive	0.0049	0.59	28.1	66.5	5.4	0.1608	0.3556	0.319	0.1996	187	188	160	304	171	0.8224	0.6623	0.8148	0.658	0.9488	46.2	0.57	1,231	8.1	0.5981	-0.9	-0.41	-418	-5.1	0.2209	competitive	0.0035	2.36	22.5	70.6	7	0.7721	0.57	12.22	0.3439	0.6786	0.1359	-0.1234	195	196	5,914	12,479	1,607	0.5959	0.1515	0.891	0.1637	0.9487	57.1	1.51	2,272	23	0.7416	-11.8	-1.35	-1,459	-20	0.0774	competitive	0.0018	0.0024	0.58	0.22	0.5511	0.059	0.2307	0.4208	0.3245	791,801	41.1	0.94	531	20.4	0.4595	4.2	-0.78	282	0.3595	0.6262	0.4461	0.7969	0.4725	0.8966	293,554	0.6234	-17.4	429,598	160,646	44.5	8.8	46.7	791,802	558	52.4	4.2	473	12.8	0.4669	11.5	0.03	343	0.363	0.7002	0.3214	0.7343	0.5224	0.9246	167	56.39	36.65	0.9372	558	26.44	378	894	3.2548	32,547.79	0.38	26,248	62	0.0866	865.53	3.46	172.41	0.21	72.46	0.24	53.76	0.12	53.19	0.03	51.02	-32	-4.51	11	-89.1	-3.7	null	null	null	null	null	0.07	13,444	-0.01	0.51	461,016	0.376	-0.18	211,484	-0.275	0.51	439,037	0.415	-0.4	310,159	-0.402	0.25	596,951	0.202	0.01	-24	0.027	0.77	160	0.822	-0.24	3,543	-0.238	0.55	5,914	0.596	0.819	75	25	816	0.47	14	0.727	0.889	accelerating	0.47	3.27	14	14	25	216	0.987	0.987	0.987	0.727	0.889	11,432	11,899	11,922	4	7	accelerating	-0.36	null	92.28
4WLTVVJN	Rosies Italian Pizzeria	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Italian restaurant	10225 Ocean Hwy unit #310, Pawleys Island, SC 29585	10225 Ocean Hwy unit #310	Georgetown	South Carolina	null	null	29,585	US	true	33.437019	-79.132511	America/New_York	(843) 31-***	2	OPERATIONAL	true	true	null	true	Georgetown	South Carolina	US	https	https://rosiesitalianpizzeria.com	rosiesitalianpizzeria.com	rosiesitalianpizzeria.com	com	166	2025-10-24	2026-10-24	NAMECHEAP INC	null	null	0	0	0	null	true	false	4.82	645	{"1": 11, "2": 5, "3": 13, "4": 28, "5": 589}	Curbside pickup, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Coffee, Comfort food, Quick bite, Small plates, Wine	Lunch, Dinner, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	Family-friendly, Groups, Locals, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2025-11-17	2026-02-18	142	49	24	142	142	49	49	https://www.instagram.com/rosiesitalianpizzeria	rosiesitalianpizzeria	https://www.facebook.com/rosiesitalianpizzeria	rosiesitalianpizzeria	null	null	null	null	https://www.linkedin.com/in/coreen-wilson-a2310a390	coreen-wilson-a2310a390	null	null	null	null	null	null	null	null	73	32.16	null	47.49	32.16	32.16	53	null	null	null	null	null	null	null	null	https://qr.imenupro.com/1rxb-7	null	null	2026-04-04T21:56:34.653709+00:00	0.44	1.27	0.4	45,690.59	830.8	121.4953	0.24	96.4	93.7	95.5	0.9041	0.8182	0.9187	0.9397	0.9191	0.7459	0.7027	0.425	95.9	96	90.91	9.09	0	95.89	4.11	0	96.93	2.63	0.44	95.85	3.46	0.69	declining	stable	-0.1005	-0.1	-0.0004	-0.1	22	73	228	289	-36	1	-9.6	87.7	75.4	76	67	95.6	96	15	10	20	3,190	3,555	5,456	182,249	198,805	260,399	195,385	15	162,317	13	101,290	518,884	17	562,183	145,587	8	563,373	19	68	109	10,795	22,281	734,279	1,460,619	734,279	0.6664	0.2364	0.5771	0.5942	0.3342	0.7112	-0.0286	0.2989	0.8592	0.6124	0.3284	0.153	0.5769	0.6776	0.3344	7	12	16	162,317	391,919	101,290	0.7777	0.4695	0.8641	0.3766	0.7459	46	0.68	950	12.2	0.5651	12	-0.14	-304	-1.5	0.339	518,884	432,734	562,183	0.3102	0.4226	0.2583	0.5003	0.7027	44.3	0.69	561	14.4	0.6257	13.7	-0.15	85	-3.7	0.2784	145,587	72,862	563,373	0.8026	Strong	0.9014	0.2499	0.9598	0.425	Below Average	53.9	2.07	660	37.8	Strong	0.5948	4.1	-1.53	-14	-27.1	0.3093	13	17	8	484	45	moderate	0.0536	3.82	33.3	58.3	8.3	3,040	1,121	competitive	0.0672	0.2	25	75	0	6,597	5,629	moderate	0.1226	0.02	14.3	42.9	42.9	0.0027	0.2216	0.8279	0.6897	51	52	5	12	18	0.9259	0.7963	0.6852	0.7963	1	41.4	0.51	570	12.7	0.4839	16.6	0.03	76	-2	0.4202	competitive	0.0218	2.6	45.1	49	5.9	0.8148	0.25	25.13	0.3439	0.6822	0.4867	0.2291	195	196	971	11,996	2,210	0.933	0.1876	0.8504	0.1882	0.9819	57.1	1.51	2,270	23	0.7431	0.9	-0.97	-1,624	-12.3	0.161	competitive	0.0015	0.0024	0.58	0.22	0.6846	0.059	0.2307	0.7716	0.6806	791,801	41.1	0.94	531	20.4	0.4595	16.9	-0.4	115	0.4446	0.8907	0.5713	0.7436	0.5796	0.9628	85,647	0.7507	-9.7	338,787	202,722	44.5	8.8	46.7	791,802	62	47.2	4.32	283	27	0.3742	24.3	0.64	338	0.5312	0.9672	0.4426	0.8033	0.459	0.9836	3	45.2	51.4	0.9836	62	60.69	165	428	3.4572	34,572.18	0.38	26,248	62	0.0865	864.73	28.74	769.23	45.15	588.24	150.37	1,250	4.73	192.31	0.02	51.02	-24.1	-4.29	37	-85	22.9	null	null	null	null	null	-0.16	102,528	-0.139	0.71	162,316	0.778	-0.19	126,304	-0.16	0.33	518,883	0.31	0.1	-198,081	0.274	0.67	145,586	0.803	-0.04	2	-0.036	0.81	5	0.926	-0.15	303	-0.019	0.68	971	0.933	0.9041	91.67	8.33	645	1.07	32	1	1	accelerating	1.07	7.47	32	32	66	226	0.996	0.997	0.997	1	1	3,162	3,267	3,277	1	1	accelerating	0.6	null	95.64
XHSTSK69	Harry’s Hoagie Shoppe	Food and Drink	Restaurants	Sandwich shop	Sandwich shop	1700 E North St suite a, Greenville, SC 29607	1700 E North St suite a	Greenville	South Carolina	null	null	29,607	US	true	34.86035	-82.373452	America/New_York	(864) 90-***	2	null	true	true	null	true	Greenville	South Carolina	US	https	https://harryshoagies.com	harryshoagies.com	harryshoagies.com	com	1,484	2022-03-16	2027-03-16	Squarespace Domains LLC	purchase_dataset@harrys.com, purchase_dataset@harryshoagies.com	realdomain	2	1	1	null	true	false	4.83	723	{"1": 11, "2": 3, "3": 17, "4": 29, "5": 662}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Comfort food, Quick bite, Vegetarian options, Wine	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom	Casual, Cozy, Trendy	College students, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	2	2024-11-27	2025-12-17	497	112	12	497	497	112	112	https://www.instagram.com/harrys_hoagies	harrys_hoagies	https://www.facebook.com/p/harrys-hoagie-shoppe-100088042899111	harrys-hoagie-shoppe-100088042899111	null	null	null	null	null	null	null	null	null	null	null	null	null	null	5,668	2.12	null	null	0.71	2.27	146	null	null	null	null	null	null	null	null	null	null	null	2026-04-04T19:46:15.716366+00:00	8.02	1.15	0.3	15,167.39	560.7	112.9754	0.98	96.6	95.3	95.6	0.9108	0.8587	0.8891	0.9015	0.9058	0.9387	0.5006	0.1635	94.5	95.3	94.44	5.56	0	94.12	3.92	1.96	94.87	3.42	1.71	95.49	3.38	1.13	stable	stable	-0.0304	-0.8	-0.0167	-0.8	18	51	117	266	-12.8	-23.3	5.9	87.2	73	56	83	96.2	94	196	218	346	2,829	3,417	4,771	159,519	190,821	224,947	171,289	196	201,523	9	354,783	548,124	178	274,583	645,616	178	430,515	14	631	1,300	10,795	22,281	734,279	1,460,619	734,279	0.2492	0.119	0.2815	0.7397	0.6366	0.6334	0.2496	0.5258	0.6091	0.3923	0.3874	0.1748	0.3438	0.6839	0.5743	177	8	177	201,523	279,753	354,783	0.7248	0.6209	0.524	0.3725	0.9387	45	0.96	525	12.1	0.682	11	-0.63	197	-5.6	0.2288	548,124	531,559	274,583	0.2724	0.2908	0.6375	0.3681	0.5006	43.6	0.52	1,044	10.7	0.5636	12.4	-0.19	-322	-4.2	0.3472	645,616	580,335	430,515	0.1384	Average	0.2195	0.4266	0.3297	0.1635	Below Average	41.7	0.48	995	10	Below Average	0.485	14.3	-0.15	-273	-3.5	0.4258	9	178	178	647	7	moderate	0.1466	2.55	25	62.5	12.5	3,094	1,145	competitive	0.0039	2.25	29.4	64.4	6.2	7,650	5,005	competitive	0.0041	0.56	34.5	61	4.5	0.1587	0.3536	0.7	0.5645	187	188	28	212	188	0.9706	0.7625	0.7963	0.7538	0.9902	46.1	0.57	1,231	8.1	0.5976	9.9	-0.24	-509	-1.6	0.3132	competitive	0.0031	2.36	22.5	70.6	7	0.8559	0.57	12.19	0.3439	0.6752	0.5148	0.2429	195	196	1,320	12,124	1,799	0.9091	0.1786	0.8781	0.1831	0.9843	57.1	1.51	2,275	23	0.7399	-1.1	-1.18	-1,553	-16.5	0.1709	competitive	0.0016	0.0024	0.58	0.22	0.6807	0.059	0.2307	0.7997	0.6874	791,801	41.1	0.94	531	20.4	0.4595	14.9	-0.61	191	0.4513	0.8663	0.5373	0.7697	0.5503	0.9658	104,870	0.7386	-13.9	363,824	182,080	44.5	8.8	46.7	791,802	71	52.3	3.9	471	10.2	0.3816	18.7	1.03	230	0.5285	0.9571	0.7429	0.7	0.6571	0.9571	4	59.01	37.76	0.9714	71	26.44	378	894	3.2561	32,560.66	0.38	26,248	62	0.0867	866.54	215	1,111.11	0.15	56.18	0.17	56.18	0.1	53.19	0.03	51.02	-29.2	-4.51	27	-89.3	-3	null	null	null	null	null	-0.13	38,873	-0.05	0.63	201,523	0.725	-0.42	398,249	-0.521	0.39	548,124	0.272	-0.2	239,423	-0.308	0.25	645,616	0.138	0.01	1	-0.001	0.86	28	0.971	-0.19	1,160	-0.079	0.68	1,320	0.909	0.9108	94.44	5.56	723	0.73	22	1	0.998	accelerating	0.73	5.13	22	22	43	169	0.993	0.994	0.994	1	0.998	5,821	6,034	6,045	1	1	accelerating	0.3	null	96.81
A8KALRK6	Vampire Penguin - Mount Pleasant _ Charleston	Food and Drink	Restaurants	Dessert restaurant	Dessert restaurant	1220 Ben Sawyer Blvd Ste U, Mt Pleasant, SC 29464	1220 Ben Sawyer Blvd Ste U	Charleston	South Carolina	null	null	29,464	US	true	32.796106	-79.859955	America/New_York	(843) 28-***	1	null	true	true	null	true	Charleston	South Carolina	US	http	http://vampirepenguincharleston.com	vampirepenguincharleston.com	vampirepenguincharleston.com	com	276	2025-07-06	2026-07-06	GoDaddy.com, LLC	null	null	0	0	0	null	true	false	5	102	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 103}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Great dessert	Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee	Catering, Counter service, Dessert, Seating, Table service	null	Casual, Trendy	College students, Family-friendly, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards	Good for kids	false	true	purchase_dataset@	true	true	3	2025-10-26	2026-03-01	164	38	69	164	164	38	38	https://www.instagram.com/vampirepenguin_charleston	vampirepenguin_charleston	https://www.facebook.com/vampirepenguinchs	vampirepenguinchs	null	null	https://www.tiktok.com/@vampirepenguinchs	vampirepenguinchs	null	null	null	null	null	null	null	null	null	null	426	3.42	null	4.16	3.42	3.42	82	57	46	301	2.38	null	3.17	2.38	2.38	https://online.skytab.com/926f12b883f86910c34844cdbc4834c0	null	null	2026-04-04T17:26:30.634538+00:00	0.28	1.29	0.6	7,086.5	179.5	237.0892	2.11	100	67.1	100	0.7703	0.3949	0.3652	0.5314	0.7703	0.637	0.5475	0.3287	68.3	88.5	87.5	0	12.5	78.79	0	21.21	82	2	16	91.18	0.98	7.84	stable	declining	0.0297	-20.2	-0.4051	-22.8	8	33	50	102	32	29.4	-27.3	78.9	54	76	67	67	94	534	7	1,261	7,022	20	14,056	466,325	894	789,562	500,237	534	511,389	41	520,360	527,530	128	322,502	578,924	185	240,688	1	806	1,912	10,795	22,281	734,279	1,460,619	734,279	0.3959	0.2299	0.3908	0.1174	-0.0455	0.2733	0.2345	0.2571	0.1128	0.0882	0.3436	0.3342	0.4142	0.0131	-0.0689	184	40	127	511,389	594,373	520,360	0.3093	0.1964	0.3022	0.2717	0.637	38.9	0.32	364	9.8	0.5271	16	1.25	-261	21.3	0.2432	527,530	621,334	322,502	0.299	0.1724	0.5743	0.1584	0.5475	44.1	0.39	951	6.7	0.5774	10.8	1.18	-848	24.4	0.1929	578,924	491,041	240,688	0.2263	Below Average	0.3387	0.6792	0.5231	0.3287	Below Average	44.7	0.62	1,404	14.9	Below Average	0.5603	10.2	0.95	-1,301	16.2	0.21	41	128	185	549	62	competitive	0.007	12.73	55	45	0	3,093	1,131	competitive	0.0009	1.62	24.4	70.1	5.5	7,422	5,018	competitive	0.0004	0.59	28.3	65.2	6.5	0.2631	0.4927	0.0842	-0.1474	187	188	76	205	389	0.9358	0.8245	0.667	0.8288	0.8921	49.5	0.72	1,625	12	0.6674	5.4	0.85	-1,522	19.1	0.1029	competitive	0.0003	0.53	11.8	78.6	9.6	0.8217	1.22	6.16	0.3439	0.6752	0.0034	-0.3299	195	196	1,562	3,344	4,260	0.8926	0.7733	0.711	0.7844	0.9142	57.1	1.51	2,275	23	0.7399	-2.2	0.06	-2,172	8.1	0.0304	competitive	0.0002	0.0024	0.58	0.22	0.8023	0.059	0.2307	0.2883	0.1146	791,801	41.1	0.94	531	20.4	0.4595	13.8	0.63	-428	0.3108	0.8513	0.6261	0.3663	0.6681	0.8367	116,631	0.6383	10.7	295,533	500,739	44.5	8.8	46.7	791,802	754	53.5	4.3	415	15.4	0.467	13.6	0.7	-324	0.0223	0.8008	0.6574	0.324	0.7676	0.4489	149	51.08	-29.39	0.3134	754	12.45	803	426	2.0233	20,233.38	0.38	26,248	62	0.0867	866.54	0.49	243.9	0.01	78.13	0	54.05	0	53.19	0	51.02	-24.5	-3.43	14	-68.9	-21	null	null	null	null	null	-0.25	183,384	-0.239	0.27	511,389	0.309	-0.32	290,330	-0.377	0.34	527,530	0.299	-0.31	340,155	-0.442	0.4	578,924	0.226	0.15	-140	0.122	0.82	76	0.936	0.09	45	0	0.8	1,562	0.893	0.7703	75	0	102	0.4	12	1	0.909	stable	0.4	2.8	12	12	32	91	0.983	0.983	0.983	1	0.909	14,348	14,937	14,962	1	2	stable	0.17	null	66.34
T887X2D6	Come Back Shack	Food and Drink	Restaurants	Hamburger restaurant	Hamburger restaurant, American restaurant	1132 Bowman Rd Suite G, Mt Pleasant, SC 29464	1132 Bowman Rd Suite G	Charleston	South Carolina	null	null	29,464	US	true	32.811163	-79.852465	America/New_York	(843) 96-***	2	null	true	true	null	true	Charleston	South Carolina	US	https	https://comebackshack.com	comebackshack.com	comebackshack.com	com	5,319	2011-09-15	2034-09-15	NAMECHEAP INC	purchase_dataset@comebackshack.com	realdomain	1	1	0	null	true	false	4.46	819	{"1": 52, "2": 19, "3": 37, "4": 106, "5": 654}	Outdoor seating, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Comfort food, Quick bite	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Trendy	College students, Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-11-29	2026-02-08	130	59	24	130	130	59	59	https://www.instagram.com/comebackshack	comebackshack	https://www.facebook.com/comebackshack	comebackshack	https://twitter.com/comebackshack	comebackshack	null	null	https://www.linkedin.com/company/the-comeback-shack	the-comeback-shack	null	null	null	null	null	null	null	null	4,535	0.7	null	0.57	0.7	0.7	673	null	null	null	null	null	null	null	null	https://comebackshack.com/mt-pleasant-menu	null	null	2026-04-04T17:26:30.580305+00:00	3.02	0.74	0.1	6,887.73	134.3	237.0892	2.09	89.2	97.1	86.8	0.7111	0.9463	0.8782	0.8583	0.7591	0.0922	0.5632	0.3519	93.9	88	100	0	0	95.51	2.25	2.25	95.24	2.86	1.9	88.51	8.05	3.45	improving	improving	0.0681	5.9	0.1191	6.7	49	89	105	174	69.5	104.6	65.2	85.4	79.9	60	83	92.2	94	187	1,082	330	2,390	9,571	3,990	134,651	563,254	187,801	145,053	187	525,663	18	399,821	544,189	140	376,616	571,099	176	209,972	55	806	1,912	10,795	22,281	734,279	1,460,619	734,279	0.4074	0.2374	0.3967	0.7114	0.4818	0.3439	0.0824	0.155	0.8664	0.7235	0.3163	0.2945	0.3893	0.6543	0.4892	175	17	139	525,663	520,703	399,821	0.2905	0.2953	0.4636	0.3212	0.0922	38.6	0.44	478	10.9	0.3244	19.5	0.06	390	-1.5	0.3867	544,189	614,753	376,616	0.2776	0.1812	0.5029	0.2329	0.5632	43.7	0.4	858	8	0.5823	14.4	0.1	10	1.4	0.1288	571,099	502,837	209,972	0.2367	Below Average	0.3224	0.7201	0.5004	0.3519	Below Average	45	0.6	1,483	14.2	Average	0.5686	13.1	-0.1	-615	-4.8	0.1425	18	140	176	537	3	competitive	0.0966	5.41	47.1	47.1	5.9	2,849	1,017	competitive	0.0072	1.77	25.9	70.5	3.6	8,285	5,596	competitive	0.0033	0.56	27.4	65.7	6.9	0.2563	0.487	0.6925	0.3915	187	188	51	500	161	0.9563	0.5642	0.863	0.5582	0.7825	49.4	0.71	1,621	11.7	0.6699	8.7	-0.21	-753	-2.3	0.0412	competitive	0.0029	0.53	12.3	78.1	9.6	0.8107	1.22	6.15	0.3439	0.6786	0.6049	0.1999	195	196	959	12,004	1,508	0.9344	0.1869	0.8978	0.1874	0.8401	57.1	1.51	2,275	23	0.7421	1	-1.01	-1,407	-13.6	-0.031	competitive	0.002	0.0024	0.58	0.22	0.6992	0.059	0.2307	0.8898	0.6478	791,801	41.1	0.94	531	20.4	0.4595	17	-0.44	337	0.2516	0.8918	0.5663	0.8116	0.5727	0.7504	84,756	0.7701	-11	341,579	148,949	44.5	8.8	46.7	791,802	754	53.5	4.3	415	15.4	0.467	19.5	0.47	351	0.222	0.9509	0.5803	0.753	0.5657	0.7039	37	51.08	35.75	0.7849	754	12.45	803	426	2.0175	20,174.74	0.38	26,248	62	0.0867	866.69	93.22	555.56	0.52	71.43	0.11	56.82	0.08	53.19	0.04	51.02	-22.6	-3.91	123	-76.2	7.5	null	null	null	null	null	0.1	-85,118	0.122	0.34	525,663	0.291	-0.36	321,304	-0.418	0.32	544,189	0.278	-0.31	339,594	-0.441	0.41	571,099	0.237	0.11	-112	0.1	0.81	51	0.956	-0.07	-89	0.008	0.7	959	0.934	0.7111	100	0	819	2.13	64	1	1	accelerating	2.13	14.93	64	64	81	174	0.999	0.999	0.999	1	1	868	895	895	1	1	accelerating	2	null	88.05

Tech-Ready Restaurants in South Carolina, US

Free sample dataset from BeamStation

The "Tech-Ready Restaurants in South Carolina, US" dataset lists 76 established dining establishments in South Carolina that show strong financial health and positive recent customer sentiment but have yet to adopt online reservation or online ordering systems. Each record represents a restaurant with a Beam Score above 70 and a sentiment rating greater than 10 over the last 30 days, indicating both operational stability and satisfied patrons. Updated weekly, the dataset highlights a clear opportunity for technology providers, hospitality consultants, and investors seeking to introduce digital ordering, reservation platforms, or broader modernization solutions to venues that already possess the budget and customer base to benefit from such upgrades. Users can leverage this list to target outreach, pilot new tech solutions, or assess market readiness for hospitality innovation within the state. For more details, visit the dataset page at https://beamstation.com/datasets/320268/.

Dataset Details

Field	Value
Full dataset	76 records
Sample size	7 records
Location	South Carolina
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-south-carolina-us-320268")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 76 records and unmasked contact data is available at:

Tech-Ready Restaurants in South Carolina, US on BeamStation

License

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

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