Datasets:

beamstation
/

restaurant-social-ghosts-in-alabama-us-106138-106138

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain float64	emails_count int64	emails_deliverable_count int64	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 int64	last_social_post_days int64	social_post_count int64	first_social_post_days_min int64	first_social_post_days_max int64	last_social_post_days_min int64	last_social_post_days_max int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github float64	social_username_github float64	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	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_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_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 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_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km 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
VPBT4688	Bocca Ristorante	Food and Drink	Restaurants	Restaurant	Restaurant, Northern Italian restaurant	2312 2nd Ave N, Birmingham, AL 35203	2312 2nd Ave N	Birmingham	Alabama	Central City	Central City	35,203	US	true	33.517807	-86.801673	America/Chicago	(205) 20-***	4	null	true	true	null	true	Birmingham	Alabama	US	http	http://boccabirmingham.com	boccabirmingham.com	boccabirmingham.com	com	2,319	2019-12-23	2026-12-23	GoDaddy.com, LLC	[email protected]	null	1	1	Traditional Italian cuisine presented in warm, brick-lined dining area with a bar.	true	true	4.61	382	{"1": 19, "2": 8, "3": 11, "4": 24, "5": 317}	Takeout, Dine-in	Great cocktails, Great coffee, Great dessert, Great wine list, Serves local specialty	Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Hard liquor, Private dining room, Small plates, Wine	Brunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Cozy, Quiet, Romantic, Trendy, Upscale	Groups	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	null	false	true	purchase_dataset@	true	true	4	2023-06-16	2026-02-11	1,048	77	96	1,048	1,048	77	77	https://www.instagram.com/boccabirmingham	boccabirmingham	https://www.facebook.com/boccabirmingham	boccabirmingham	null	null	https://www.tiktok.com/@boccabham	boccabham	null	null	null	null	null	null	null	null	null	null	6,593	0.19	null	0.28	0.18	0.19	448	43	30	488	2.5	null	null	null	null	https://boccabirmingham.com/menus	https://resy.com/cities/birmingham-al/venues/bocca-ristorante	https://resy.com/cities/birmingham-al/venues/bocca-ristorante	2026-04-26T00:01:52.986013+00:00	3.29	1.33	0.1	4,894.12	124.8	194.9807	2.94	92.2	86.1	89.8	0.7386	0.5771	0.4421	0.5001	0.5693	0.602	0.7	0.78	72.1	78.5	100	0	0	90.91	9.09	0	87.5	12.5	0	85.37	14.63	0	improving	declining	0.135	-6.4	-0.1272	-8.2	1	11	24	41	-8.3	7.3	-72.7	77.5	63.5	72	50	74.1	32	303	530	469	4,669	5,945	6,436	297,710	411,663	429,222	319,119	303	23	99	33	38	101	80	30	101	85	32	824	2,003	11,888	24,622	786,928	1,595,281	786,928	0.593	0.0672	0.4325	-0.0672	-0.0039	0.7082	0.0651	0.3388	-0.0651	0.0898	0.546	0.0971	0.5671	-0.0971	-0.1385	100	98	100	23	35	33	0.7755	0.6531	0.6735	0.5714	0.602	59.9	4.14	329	83.3	0.5859	17.6	0.47	53	6.5	0.1531	38	24	80	0.63	0.77	0.21	0.74	0.7	76.1	4.4	777	84.9	0.656	1.4	0.21	-395	4.9	0.083	30	14	85	0.71	Strong	0.87	0.16	0.77	0.78	Average	73	4.25	811	81	Average	0.5732	4.5	0.36	-429	8.8	0.1658	99	101	101	622	17	competitive	0.0117	31.19	16.3	22.4	49	12.2	2,714	1,025	competitive	0.0049	1.27	0	0	76	24	7,761	5,203	competitive	0.0047	0.32	2	0	86	12	0.1022	0.5723	-0.1022	-0.1437	100	101	51	24	99	0.5	0.77	0.02	0.66	0.62	76.7	4.41	971	85.5	0.6685	0.8	0.2	-589	4.3	0.0705	competitive	0.0039	0.26	1	0	74	25	0.437	2.95	3.82	0.1301	0.6895	-0.1301	-0.2609	100	101	78	35	101	0.23	0.66	0	0.45	0.33	80.3	4.59	1,186	90.4	0.7529	-2.8	0.02	-804	-0.6	-0.0139	competitive	0.0032	0.0007	1.92	0.16	0.29	0.0328	0.2935	-0.0328	0.1351	849,634	59.7	3.83	389	76.2	0.4652	17.8	0.78	-7	0.2738	0.9083	0.7123	0.6238	0.7692	0.786	76,012	0.7642	13.6	238,839	319,082	23.1	58	4.5	14.4	849,635	599	54.8	4.15	339	75	0.4222	22.7	0.46	43	0.3168	0.9047	0.7124	0.6538	0.7676	0.7993	57	53.14	27.07	0.6338	599	4.98	2,007	518	0.4835	4,835.33	0.2	50,243	37	0.0236	236	1.37	101.01	0.24	99.01	0.22	99.01	0.15	99.01	0.1	99.01	0.6	0	5	-0.1	0	null	null	null	null	null	-0.04	132,814	-0.155	-74.13	339,781	-0.439	0.07	-27,677	0.045	-73.79	4,125	0.001	0.09	-1,082	0.024	-74	282,311	-0.361	-0.08	-2	0.007	-74.04	-118,054	-0.009	-0.06	-975	0.087	-74.02	-117,712	0.08	0.739	100	0	382	0.17	5	0.917	0.824	accelerating	0.17	1.17	5	5	12	43	0.891	0.894	0.894	0.917	0.741	93,178	98,687	98,505	3	29	accelerating	0	null	80.21
4YTY78MM	The Parlor Pizza and Ice Cream Company	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Dessert shop, Family restaurant, Ice cream shop, Pizza delivery, Pizza Takeout	1917 Cogswell Ave Suite 5, Pell City, AL 35125	1917 Cogswell Ave Suite 5	Pell City	Alabama	null	null	35,125	US	true	33.586764	-86.285218	America/Chicago	(205) 81-***	0	OPERATIONAL	true	false	null	true	Pell City	Alabama	US	http	http://theparlorpc.com	theparlorpc.com	theparlorpc.com	com	99	2026-01-20	2027-01-20	Hosting Concepts B.V. d/b/a Registrar.eu	[email protected], [email protected]	null	2	2	null	true	false	4.57	161	{"1": 9, "2": 8, "3": 3, "4": 8, "5": 141}	Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Great dessert, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	Coffee, Comfort food, Quick bite	Lunch, Dinner, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	8	2019-02-23	2026-01-30	2,622	89	69	2,622	2,622	89	89	https://www.instagram.com/jnrs_closet_	jnrs_closet_	https://www.facebook.com/thejnrs	thejnrs	https://twitter.com/storeyears	storeyears	https://www.tiktok.com/@shop.jnr	shop.jnr	https://www.linkedin.com/company/jrs-innovation-llc	jrs-innovation-llc	https://www.youtube.com/channel/ucox02oxymzi92s1fam51zfg	ucox02oxymzi92s1fam51zfg	null	null	null	null	https://www.pinterest.com/juniorshop	juniorshop	60	23.33	null	null	null	null	12	261	63	2,323	0.92	null	2.86	2.97	1.74	https://theparlorpc.com	null	null	2026-04-25T23:01:27.186261+00:00	1.11	0.08	0.5	20,545.47	376.8	311.1111	0.35	91.4	73.7	88.2	0.776	0.9996	0.7935	0.8156	0.8193	0.8182	0.9487	1	89.7	91	100	0	0	88.89	11.11	0	89.66	10.34	0	89.36	8.51	2.13	improving	stable	0.2061	-1.3	-0.0258	-1.4	8	18	29	47	24.1	53.2	33.3	77.7	32.8	100	80	88	32	33	20	39	6,838	6,667	10,131	446,154	459,692	689,154	477,804	33	3	12	8	3	40	25	1	8	4	41	55	72	11,888	24,622	786,928	1,595,281	786,928	0.8714	-0.2857	0.4789	0.2857	0.2651	0.6273	0.0888	0.3012	-0.0888	0.4428	0.741	0.0494	0.4664	-0.0494	0.2776	7	11	39	3	5	8	0.8182	0.6364	0.3636	0.6364	0.8182	66.3	3.98	517	73	0.3703	11.4	0.59	-356	15.2	0.4022	3	8	25	0.9487	0.8205	0.3846	0.7436	0.9487	63.4	3.96	405	77.4	0.4809	14.3	0.61	-244	10.8	0.2916	1	1	4	1	Average	1	0.5714	0.7143	1	Strong	59.6	3.7	304	77.6	Market Leader	0.5038	18.1	0.87	-143	10.6	0.2687	12	40	8	761	56	moderate	0.0275	3.5	9.1	18.2	63.6	9.1	2,554	1,001	competitive	0.0101	0.5	7.7	20.5	71.8	0	8,532	5,194	moderate	0.0703	0.02	14.3	28.6	57.1	0	0.0346	0.4321	-0.0346	0.3119	55	56	5	13	33	0.9273	0.7818	0.4182	0.7091	0.9273	63.8	4.01	406	77.3	0.4719	13.9	0.56	-245	10.9	0.3006	competitive	0.0072	0.76	7.3	23.6	67.3	1.8	0.7309	0.35	27.12	0.1413	0.7538	-0.1413	-0.0098	181	182	157	88	179	0.1381	0.5193	0.0166	0.3204	0.5635	81.6	4.56	975	89.4	0.7455	-3.9	0.01	-814	-1.2	0.027	competitive	0.0009	0.0013	1.06	0.29	0.216	0.0328	0.2935	-0.0328	0.4505	849,634	59.7	3.83	389	76.2	0.4652	18	0.74	-228	0.3073	0.9128	0.6819	0.4367	0.7205	0.834	72,151	0.7007	12	263,480	477,599	23.1	58	4.5	14.4	849,635	35	64.1	4.32	375	82.1	0.5542	13.6	0.25	-214	0.2183	0.9412	0.6765	0.4118	0.6471	0.9118	3	70.77	19.23	0.8529	35	42.51	235	180	1.7253	17,253.27	0.36	27,758	37	0.0351	351.41	7.58	833.33	1.02	250	49.47	1,250	0.51	178.57	0.01	54.95	-3.4	0.01	2	0.1	-30.7	null	null	null	null	null	0.08	-87,723	0.13	-61.61	-74,713	0.112	0.08	-62,606	0.112	-62.07	350,009	-0.435	-0.14	66,207	-0.052	-62.31	474,235	-0.597	0.01	0	0.001	-61.66	-248,277	0.276	-0.05	461	-0.034	-61.74	-248,236	0.227	0.7725	100	0	161	0.07	2	1	0.726	decelerating	0.07	0.47	2	2	10	41	0.701	0.706	0.707	1	0.672	221,055	234,514	233,522	1	126	decelerating	-0.1	null	90
XTC5SL5V	Hong Kong Taste	Food and Drink	Restaurants	Chinese restaurant	Chinese restaurant	678 Clanton Market Pl, Clanton, AL 35045	678 Clanton Market Pl	Clanton	Alabama	null	null	35,045	US	true	32.850223	-86.633525	America/Chicago	(205) 75-***	2	OPERATIONAL	true	true	null	true	Clanton	Alabama	US	http	http://hongkongtasteclanton.com	hongkongtasteclanton.com	hongkongtasteclanton.com	com	2,193	2020-04-27	2027-04-27	Tucows Domains Inc.	null	null	0	0	null	true	false	4.63	371	{"1": 12, "2": 3, "3": 13, "4": 59, "5": 288}	Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Comfort food, Quick bite, Small plates, Vegetarian options	Lunch, Dinner, Dessert, Seating	Restroom	Casual, Quiet	null	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	4	2023-11-03	2026-03-10	908	50	66	908	908	50	50	null	null	https://www.facebook.com/hkkitchensac	hkkitchensac	https://twitter.com/kongchunkyy	kongchunkyy	https://www.tiktok.com/@hong.kong.taste	hong.kong.taste	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	10	46	160	0.49	null	1.36	1.94	1.89	https://hongkongtasteclanton.com	null	null	2026-04-25T17:11:24.828616+00:00	0.04	0.07	1	21,586.78	946.9	275.8621	0.32	92.6	85.7	92.7	0.8196	-1	0.6667	0.8813	0.8193	0.8	0.7895	1	83.3	91	0	100	0	83.33	16.67	0	94.12	5.88	0	92	8	0	declining	declining	-1.6667	-7.7	-0.1526	-8.5	1	6	17	25	-29.4	-4	-50	76.2	42.8	48	60	98.6	32	20	16	24	4,748	5,626	6,562	303,293	390,305	438,273	325,054	20	1	6	3	5	20	10	3	13	10	29	39	57	11,888	24,622	786,928	1,595,281	786,928	0.7083	0.0577	0.3865	-0.0577	0.6135	0.82	0	0.3403	0	0.6597	0.6947	0.1276	0.5662	-0.1276	0.4338	12	5	19	1	2	3	1	0.8	0.6	0.8	0.8	62.2	3.27	390	69.9	0.4218	14	1.36	-19	22.8	0.4023	5	6	10	0.7895	0.7368	0.5263	0.8421	0.7895	64.1	3.84	414	78.5	0.5543	12.1	0.79	-43	14.2	0.2698	3	1	10	0.8333	Market Leader	1	0.25	1	1	Strong	70.1	3.95	823	71.6	Strong	0.423	6.1	0.68	-452	21.1	0.4011	6	20	13	633	16	concentrated	0.1598	1.59	20	0	80	0	2,918	1,001	competitive	0.0451	0.24	10.5	15.8	73.7	0	7,049	5,036	moderate	0.0362	0.04	0	0	91.7	8.3	0.0799	0.4576	-0.0799	0.5424	39	40	8	10	21	0.8205	0.7692	0.4872	0.8462	0.7949	65.9	3.86	515	76.2	0.5097	10.3	0.77	-144	16.5	0.3144	competitive	0.0181	0.65	7.7	12.8	76.9	2.6	0.7051	0.33	29.31	0.1421	0.7523	-0.1421	0.2477	180	181	167	46	171	0.0778	0.75	0.0556	0.8278	0.8111	81.6	4.55	980	89.4	0.7445	-5.4	0.08	-609	3.3	0.0796	competitive	0.0021	0.0013	1.07	0.29	0.2728	0.0328	0.2935	-0.0328	0.7065	849,634	59.7	3.83	389	76.2	0.4652	16.5	0.8	-18	0.3589	0.8768	0.7254	0.6168	0.8462	0.8967	102,487	0.7534	16.5	227,318	325,032	23.1	58	4.5	14.4	849,635	29	65.9	4.33	358	80.6	0.5851	10.3	0.3	13	0.239	0.8214	0.5714	0.5714	0.7857	0.7143	6	75.57	19.82	0.8571	29	44.48	225	145	2.2896	22,895.76	0.36	27,913	37	0.0351	351.21	255.28	1,666.67	20.3	500	13.1	769.23	3.29	250	0.04	55.25	3.3	0	3	0	15.4	null	null	null	null	null	0.11	-153,260	0.225	-65.91	58,996	-0.062	0.01	-27,049	0.065	-66.08	307,953	-0.379	0.14	-55,668	0.101	-66.06	252,468	-0.309	0.08	-6	0.171	-65.73	-283,362	0.167	0.04	-1,707	0.151	-65.77	-282,920	0.223	0.8241	100	0	371	0.07	2	1	0.783	stable	0.07	0.47	2	2	7	24	0.701	0.706	0.707	1	0.71	221,055	234,514	233,522	1	54	stable	0.04	null	95.39
MJDTE5FE	The Curry Kitchen	Food and Drink	Restaurants	Restaurant	Restaurant, Indian restaurant	3799 McFarland Blvd E, Tuscaloosa, AL 35405	3799 McFarland Blvd E	Tuscaloosa	Alabama	null	Greater Alberta	35,405	US	true	33.173709	-87.523865	America/Chicago	(205) 24-***	1	null	true	true	null	true	Tuscaloosa	Alabama	US	http	http://thecurrykitchen.us	thecurrykitchen.us	thecurrykitchen.us	us	710	2024-05-19	2026-05-19	GoDaddy.com, LLC	[email protected]	null	1	1	null	true	false	4.82	795	{"1": 20, "2": 4, "3": 7, "4": 47, "5": 746}	Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great tea selection, Serves local specialty, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, All you can eat, Beer, Cocktails, Comfort food, Halal food, Hard liquor, Healthy options, Small plates, Vegan options, Vegetarian options, Wine	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet	Family-friendly, Groups, Tourists	null	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2024-07-14	2025-11-24	654	156	20	654	654	156	156	https://www.instagram.com/thecurrykitchenus	thecurrykitchenus	https://www.facebook.com/p/the-curry-kitchen-us-61562718581462	the-curry-kitchen-us-61562718581462	https://twitter.com/cathyba60984368	cathyba60984368	null	null	https://www.linkedin.com/company/curry-kitchen	curry-kitchen	null	null	null	null	null	null	null	null	92	10.65	null	null	5.71	6.3	10	null	null	null	null	null	null	null	null	https://thecurrykitchen.azurewebsites.net/home/menu	null	null	2026-04-25T16:08:37.256829+00:00	0.12	0.55	0.3	9,096.18	224.2	245.283	1.13	96.4	96.7	96.5	0.5082	0.1258	0.1374	0.3789	0.5472	0.84	0.5043	0.3559	56.9	77.4	25	0	75	26.19	0	73.81	44.58	0	55.42	62.11	2.48	35.4	stable	declining	-0.0116	-20.5	-0.4098	-26.5	24	42	83	161	1.2	4.3	71.4	78	38.5	92	80	54.2	32	68	110	92	2,171	3,040	2,841	147,060	211,621	197,396	158,635	68	1	26	10	13	118	43	21	119	23	2	433	1,001	11,888	24,622	786,928	1,595,281	786,928	0.8661	0.066	0.4018	-0.066	-0.2654	0.88	0	0.2236	0	-0.0872	0.8385	0.0554	0.2628	-0.0554	-0.1264	118	25	117	1	2	10	1	0.96	0.64	0.96	0.84	57.9	3.52	546	63.4	0.2496	20.1	1.3	249	33.1	0.2732	13	6	43	0.8974	0.9573	0.641	0.9573	0.5043	66.6	4.1	613	76.4	0.4903	11.4	0.72	182	20.1	0.0325	21	5	23	0.8305	Market Leader	0.9661	0.8136	0.9746	0.3559	Market Leader	68.9	4.24	511	80.7	Market Leader	0.5525	9.1	0.58	284	15.8	-0.0297	26	118	119	566	64	competitive	0.0551	7.96	8	40	52	0	3,067	1,140	competitive	0.011	1.49	3.4	11.1	82.1	3.4	6,823	5,029	competitive	0.013	0.38	4.2	3.4	81.4	11	0.0689	0.4852	-0.0689	-0.3488	129	130	30	6	45	0.7752	0.9612	0.6589	0.9767	0.3333	71.4	4.27	636	81.5	0.5841	6.6	0.55	159	15	-0.0613	competitive	0.0096	0.69	3.9	0	82.9	13.2	0.7961	1.14	9.25	0.1421	0.756	-0.1421	-0.6196	180	181	152	8	130	0.1611	0.9611	0.2833	0.9778	0.0389	81.6	4.55	980	89.4	0.7474	-3.6	0.27	-185	7.1	-0.2246	competitive	0.0045	0.0013	1.07	0.29	0.4378	0.0328	0.2935	-0.0328	-0.1571	849,634	59.7	3.83	389	76.2	0.4652	18.3	0.99	406	0.0576	0.9192	0.8273	0.8129	0.9136	0.4952	66,811	0.8598	20.3	143,838	158,685	23.1	58	4.5	14.4	849,635	324	56.5	4.17	324	75.4	0.4423	21.5	0.65	471	0.0805	0.9195	0.8297	0.8607	0.9226	0.517	27	55.48	-7.37	0.3251	324	12.95	772	530	0.8243	8,243.37	0.36	27,913	37	0.0351	351.25	30.34	384.62	1.2	84.75	1.7	84.03	0.92	76.92	0.2	55.25	-2.2	-0.01	10	-0.2	3.4	null	null	null	null	null	0.04	-19,009	0.053	-87.9	494,011	-0.646	0.05	25,550	-0.01	-87.88	437,449	-0.563	0.01	31,962	-0.015	-87.99	493,500	-0.639	0	-5	0.016	-87.41	-31,232	-0.006	-0.02	219	-0.014	-87.55	-30,249	-0.048	0.5228	0	0	795	0.17	5	1	0.765	decelerating	0.17	1.17	5	5	21	145	0.891	0.894	0.894	1	0.765	93,178	98,687	98,505	1	8	decelerating	0.07	null	48.11
WLMFRVQE	Highway 77 Fish Market Restaurant LLC	Food and Drink	Restaurants	Restaurant	Restaurant, Bar & grill, Oyster bar restaurant, Seafood market	74551 AL-77, Lincoln, AL 35096	74551 AL-77	Lincoln	Alabama	null	null	35,096	US	true	33.576658	-86.127795	America/Chicago	(205) 76-***	2	OPERATIONAL	true	true	null	true	Lincoln	Alabama	US	https	https://hwy77fishmarket.com	hwy77fishmarket.com	hwy77fishmarket.com	com	3,124	2017-10-09	2027-10-09	HOSTINGER operations, UAB	null	null	0	0	null	true	false	4.68	788	{"1": 16, "2": 11, "3": 35, "4": 87, "5": 637}	Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Serves local specialty, Sports	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, Private dining room, Quick bite, Small plates, Wine	Lunch, Dinner, 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, SNAP/EBT	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2022-07-21	2026-01-17	1,378	102	15	1,378	1,378	102	102	null	null	https://www.facebook.com/p/hwy-77-fish-market-100063654636231	hwy-77-fish-market-100063654636231	null	null	https://www.tiktok.com/@hwy77fishmarket	hwy77fishmarket	https://www.linkedin.com/in/christina-hester-6265a6252	christina-hester-6265a6252	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	84	5	57	1.47	null	null	4.1	4.1	https://facebook.com/pg/241403399252623/menu	null	null	2026-04-25T14:13:51.314334+00:00	0.11	0.33	0.2	11,486.92	609.1	205.8824	0.34	93.6	96.6	92.1	0.4228	0.2244	0.3753	0.3739	0.3489	0	0.4737	0.4	68.8	67.4	100	0	0	66.67	11.11	22.22	63.89	11.11	25	68.54	8.99	22.47	declining	stable	-0.1509	1.4	0.0264	2.1	1	18	36	89	0	-19.1	-83.3	74.6	49.5	72	60	58.7	32	1	6	3	5	4,831	2,883	389	334,235	200,105	409	1	1	2	1	3	20	3	1	6	2	15	1	32	111	24,622	5,303	1,595,281	5,303	0.88	0	0.4824	0	-0.0799	1	1	0.4	-1	0.0025	0.9105	0.0856	0.3294	-0.0856	0.0731	5	1	19	1	1	1	1	1	1	1	0	61.6	3.96	481	72.8	0.4765	13	0.72	307	19.3	-0.0528	3	2	3	0.8947	0.9474	0.8947	0.9474	0.4737	61.4	3.55	360	70.1	0.3843	13.2	1.13	428	22	0.0394	1	2	2	1	Market Leader	0.8	0.8	0.8	0.4	Market Leader	59.9	3.97	256	68.4	Market Leader	0.5039	14.7	0.71	532	23.7	-0.0802	2	20	6	815	815	concentrated	0.621	0.32	0	0	100	0	2,548	1,115	competitive	0.1034	0.24	10.5	21.1	68.4	0	8,462	6,958	concentrated	0.3814	0.02	20	20	60	0	0.1577	0.3649	-0.1577	0.0376	23	24	3	3	3	0.913	0.913	0.913	0.913	0.3913	62.3	3.72	357	73.1	0.4495	12.3	0.96	431	19	-0.0258	competitive	0.0875	0.34	8.7	17.4	73.9	0	0.913	0.44	20.93	0.1413	0.7565	-0.1413	-0.354	181	182	173	30	134	0.0497	0.8398	0.2652	0.8011	0.0055	81.6	4.55	985	89.4	0.7459	-7	0.13	-197	2.7	-0.3222	competitive	0.0044	0.0013	1.06	0.29	0.3514	0.018	0.2024	-0.018	0.2001	5,465	56.1	3.7	209	80.5	0.4291	18.5	0.98	579	-0.0054	0.9281	0.5497	0.9253	0.6867	0.4317	387	0.8137	11.6	2,415	409	30.5	49.6	1.1	18.7	5,466	1	74.6	4.68	788	92.1	0.4237	0	0	0	0	0	0	0	0	0	1	32.18	0	0	1	33.6	298	102	1.2003	12,002.92	0.36	27,758	37	0.0355	354.7	3,855.93	5,000	106.94	500	1,454.76	1,666.67	76.59	416.67	0.19	54.95	-4.3	0	8	-0.2	-1	null	null	null	null	null	0.19	-276,522	0.391	-78.55	217,195	-0.275	0.04	-37,100	0.081	-78.96	468,872	-0.592	0.04	-10,175	0.05	-78.99	533,151	-0.678	-0.02	1	-0.044	-78.3	-181,136	0.183	-0.05	895	-0.067	-78.41	-179,643	0.055	0.4237	50	50	788	0.2	6	1	1	stable	0.2	1.4	6	6	19	92	0.915	0.917	0.917	1	1	74,544	78,967	78,820	1	1	stable	-0.03	null	32.18

Restaurant Social Ghosts in Alabama, US

Free sample dataset from BeamStation

Restaurant Social Ghosts in Alabama, US is a weekly‑updated collection of 56 restaurant records located across Alabama. Each entry highlights establishments that receive strong customer ratings yet exhibit minimal or absent activity on social media platforms. This contrast points to a gap between product quality and online visibility, making the data especially useful for marketing agencies seeking prospects that could benefit from targeted social‑media growth strategies. By focusing on venues with high satisfaction scores but limited digital footprints, users can identify candidates for outreach, pitch growth‑oriented services, and design campaigns aimed at boosting follower counts and engagement. The dataset is refreshed every week to keep the leads current, and it can be accessed directly via the provided URL for integration into prospecting tools or CRM systems.

Dataset Details

Field	Value
Full dataset	56 records
Sample size	5 records
Location	Alabama
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/restaurant-social-ghosts-in-alabama-us-106138")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 56 records and unmasked contact data is available at:

Restaurant Social Ghosts in Alabama, US on BeamStation

License

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

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