Datasets:

beamstation
/

restaurant-social-ghosts-in-indiana-us-340637

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 null	neighborhood null	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 null	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain 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 null	social_username_youtube null	social_profile_github null	social_username_github null	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest null	social_username_pinterest null	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m null	tiktok_engagement_rate_3m null	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 float64	beam_rank_competition_10km_total float64	beam_rank_competition_10km_reviews float64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count float64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating float64	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 float64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff float64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating float64	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 float64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff float64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score float64	beam_competitors_10km_rank_by_rating float64	beam_competitors_10km_rank_by_reviews float64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews float64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff float64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius float64	beam_competitors_5km_total_in_radius float64	beam_competitors_10km_total_in_radius float64	beam_competitors_1km_avg_distance_m float64	beam_competitors_1km_closest_competitor_m float64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_5km_avg_distance_m float64	beam_competitors_5km_closest_competitor_m float64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_10km_avg_distance_m float64	beam_competitors_10km_closest_competitor_m float64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count float64	beam_competitors_city_total_in_city float64	beam_competitors_city_rank_by_score float64	beam_competitors_city_rank_by_rating float64	beam_competitors_city_rank_by_reviews float64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews float64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff float64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count float64	beam_competitors_state_total_in_state float64	beam_competitors_state_rank_by_score float64	beam_competitors_state_rank_by_rating float64	beam_competitors_state_rank_by_reviews float64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews float64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff float64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count float64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews float64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff float64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score float64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating float64	beam_competitors_country_rank_by_reviews float64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country float64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business float64	beam_competitors_city_population_density float64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business float64	beam_competitors_state_population_density float64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall null	beam_trends_score_90d_rating null	beam_trends_score_90d_review_count null	beam_trends_score_90d_beam_rating_health null	beam_trends_score_90d_beam_popularity_percentile null	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change float64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change float64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change float64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change float64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change float64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change float64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change float64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change float64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change float64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change float64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d null	beam_trends_sentiment_recommend_pct float64
JEMSQ5XM	Mason Inn	Food and Drink	Restaurants	Bar & grill	Bar & grill, Sports bar	1 W Main St, Pittsboro, IN 46167	1 W Main St	Indianapolis	Indiana	null	null	46,167	US	true	39.863713	-86.467329	America/Indianapolis	(317) 89-***	2	OPERATIONAL	true	true	null	true	Indianapolis	Indiana	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.65	556	{"1": 10, "2": 7, "3": 28, "4": 87, "5": 431}	Curbside pickup, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Serves local specialty, Sports	Dinner, Solo dining	Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Food, Food at bar, Happy hour drinks, Happy hour fo(...TRUNCATED)	Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Historic	Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	null	true	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/mason-inn/menu	null	null	2026-04-06T16:37:16.962002+00:00	0	2.11	3.2	1,425.96	94.4	109.1892	2.95	93	91.5	92.1	0.8188	1	0.9259	0.8259	0.8572	0.9348	0.0028	0.1656	96.3	92.9	100	0	0	100	0	0	93.33	6.67	0	93.94	3.03	3.03	improving	improving	0.0741	3.4	0.0687	3.7	1	6	15	33	-20	-27.3	-50	70.5	42.8	0	33	95.2	98	1,098	1,391	1,562	4,628	5,760	6,316	211,083	348,645	306,779	225,989	1,098	660,159	5	717,732	578,154	2	752,746	613,390	86	608,000	84	3,463	6,744	14,546	28,146	734,279	1,460,619	734,279	0.1774	0.1861	0.3778	0.8139	0.5332	0.0739	0.0195	-0.3046	0.9805	1.2156	0.2608	0	1	1	-0.089	85	4	1	660,159	701,291	717,732	0.1135	0.0559	0.0391	0.0353	0.9348	34.6	0.11	96	2.1	0.6775	4.3	-0.01	466	-0.1	0.1413	578,154	337,326	752,746	0.2333	0.5502	0.0078	0.5842	0.0028	42.8	0.92	52	17.3	0.0416	-3.9	-0.82	510	-15.3	0.7772	613,390	624,936	608,000	0.1808	Emerging	0.1597	0.1905	0.2803	0.1656	Below Average	43.3	0.41	538	9	Emerging	0.4863	-4.4	-0.31	24	-7	0.3325	5	2	86	83	7	concentrated	0.5941	1.27	75	25	0	1,628	1,628	concentrated	0.9153	0.01	0	100	0	6,950	5,265	competitive	0.0121	0.27	28.2	71.8	0	0	0.3007	0.6332	0.6993	0.2778	180	181	1,810	1,886	882	0.5033	0.4564	0.7591	0.4149	0.9244	54	0.76	1,589	11.6	0.7195	-15.1	-0.66	-1,027	-9.6	0.0993	competitive	0.002	0.19	0.6	81.1	18.3	0.566	2.26	1.1	0.2693	0.6518	0.7307	0.2592	192	193	9,414	11,135	3,660	0.3933	0.2628	0.7651	0.3078	0.9326	58.3	1.54	1,699	22.5	0.7316	-19.4	-1.44	-1,137	-20.5	0.0872	competitive	0.0017	0.002	0.7	0.16	0.4657	0.059	0.2307	0.941	0.6803	791,801	41.1	0.94	531	20.4	0.4595	-2.2	-0.84	31	0.3593	0.4367	0.326	0.711	0.3812	0.8964	443,820	0.4858	-18.4	512,321	228,543	44.5	8.8	46.7	791,802	262	51.7	4.17	328	10.1	0.5575	3.6	0.65	228	0.2611	0.4789	0.5824	0.7663	0.6437	0.8506	136	68.87	25.86	0.8391	262	2.04	4,900	925	0.3243	3,242.73	0.28	35,341	72	0.0481	480.72	3,529.31	2,000	8,377.91	5,000	1.48	116.28	0.04	55.25	0.03	51.81	-30	-4.55	7	-90.1	-2.3	null	null	null	null	null	-0.48	441,464	-0.584	0.07	660,159	0.114	0.23	-116,161	0.163	0.26	578,154	0.233	0.01	7,973	-0.001	0.18	613,390	0.181	-0.12	460	-0.121	0.57	1,810	0.503	-0.2	2,834	-0.168	0.47	9,414	0.393	0.8188	100	0	556	0.07	2	0.636	0.71	stable	0.07	0.47	2	2	6	36	0.732	0.739	0.74	0.636	0.71	156,567	163,872	163,540	19	71	stable	0	null	94.22
ZXGB74QP	Yum Noodles	Food and Drink	Restaurants	Restaurant	Restaurant	6601 Broadway, Merrillville, IN 46410	6601 Broadway	Hobart	Indiana	null	null	46,410	US	true	41.498444	-87.335501	America/Chicago	(219) 23-***	1	OPERATIONAL	true	true	null	true	Hobart	Indiana	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.95	263	{"1": 1, "2": 0, "3": 2, "4": 6, "5": 260}	Onsite services, Takeout, Dine-in	Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Healthy options, Quick bite, Small plates, Vegetarian options	Lunch, Dinner, Table service	Restroom	Casual, Cozy, Quiet	Groups	null	Credit cards, Debit cards	Good for kids	true	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-06T13:56:16.190918+00:00	0	0.06	5.8	48,998.39	1,576.4	233.7963	0.14	99	80.7	98.9	0.8456	null	0.2104	0.6268	0.7735	0.1344	0.2623	0.3004	60.5	88.7	null	null	null	38.1	4.76	57.14	70.53	3.16	26.32	82.08	1.73	16.18	stable	declining	null	-28.2	-0.5631	-31.8	0	21	95	173	-55.8	-51.4	-100	64.8	27.4	0	33	65.5	98	107	9	145	7,202	1,942	10,531	342,569	125,235	533,502	366,713	107	486,511	13	432,198	433,806	101	127,439	515,862	101	519,638	3	167	287	14,546	28,146	734,279	1,460,619	734,279	0.2404	0.041	0.2406	0.1587	-0.087	0.3029	-0.0265	0.1617	0.2262	-0.0081	0.5408	0.0112	0.2453	0.1885	-0.0917	100	12	100	486,511	642,415	432,198	0.3425	0.1327	0.4203	0.0489	0.1344	39.4	0.24	446	3.1	0.3554	-3.8	0.51	-190	12.5	0.4902	433,806	443,425	127,439	0.4214	0.4092	0.8317	0.2147	0.2623	46.1	0.67	1,438	7.7	0.4938	-10.5	0.08	-1,182	7.9	0.3518	515,862	685,177	519,638	0.3088	Below Average	0.0814	0.3081	0.0558	0.3004	Average	46.8	0.31	779	4.7	Below Average	0.5499	-11.2	0.44	-523	10.9	0.2957	13	101	101	715	232	moderate	0.0456	3.82	33.3	66.7	0	3,267	1,053	competitive	0.0018	1.27	22	73	5	8,313	5,192	competitive	0.0033	0.32	14	84	2	0	0.0319	0.2634	0.1678	-0.1098	100	101	134	33	134	0.2486	0.8192	0.2486	0.8475	0.9492	47.1	0.52	1,458	5.7	0.5025	-11.5	0.23	-1,202	9.9	0.3431	competitive	0.0018	1.45	12	83	5	0.4198	0.14	15.83	0.2676	0.6803	-0.0679	-0.5267	100	101	8,598	4,625	12,480	0.4454	0.7028	0.1997	0.7163	0.8869	53.3	0.73	2,384	9.3	0.8053	-17.7	0.02	-2,128	6.3	0.0403	competitive	0.0011	0.0011	1.35	0.08	0.4489	0.059	0.2307	0.1407	-0.0771	791,801	41.1	0.94	531	20.4	0.4595	-5.5	-0.19	-275	0.3861	0.3505	0.587	0.529	0.5993	0.9229	512,392	0.475	-4.8	326,492	372,224	44.5	8.8	46.7	791,802	151	55.5	3.99	678	11.3	0.424	-3.6	0.84	-415	-0.0412	0.2933	0.72	0.3533	0.8	0.4	107	66.23	-38.34	0.1533	151	33.61	298	432	4.8998	48,998.39	0.15	67,855	72	0.0351	351.29	20.84	769.23	0.03	99.01	0.11	99.01	0.03	99.01	0.01	99.01	-31.9	-4.2	-3	-83.2	-31.7	null	null	null	null	null	-0.03	-40,147	0.062	0.3	486,509	0.343	0.07	5,781	-0.002	0.54	433,794	0.421	-0.06	46,455	-0.054	0.24	515,827	0.309	-0.15	37	-0.203	0.42	134	0.249	-0.16	1,333	-0.071	0.45	8,598	0.445	0.8456	0	0	263	0.03	1	0.375	0.447	decelerating	0.03	0.23	1	1	24	88	0.507	0.515	0.517	0.375	0.447	253,363	266,224	265,236	13	669	decelerating	-0.3	null	83.59
2K563XYK	Torchy's Tacos	Food and Drink	Restaurants	Taco restaurant	Taco restaurant	11826 Sylo Xing Suite 602, Bldg 6, Zionsville, IN 46077	11826 Sylo Xing Suite 602, Bldg 6	Zionsville	Indiana	null	null	46,077	US	true	39.953805	-86.243892	America/Indianapolis	(317) 34-***	2	CLOSED_TEMPORARILY	true	true	null	false	Zionsville	Indiana	US	https	https://torchystacos.com	torchystacos.com	torchystacos.com	com	7,014	2007-01-24	2031-01-24	GoDaddy.com, LLC	null	null	0	0	0	"Buzzy chain serving Mexican street-food-style tacos in inventive varieties, including for breakfast(...TRUNCATED)	true	false	4.8	187	{"1": 5, "2": 2, "3": 4, "4": 13, "5": 177}	Onsite services, Takeout, Dine-in	Fast service	Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Alcohol, Beer, Comfort food, Happy hour drinks, Quick bite	Breakfast, Lunch, Dinner	Bar onsite, Restroom	Casual	null	null	Credit cards, Debit cards	Good for kids	false	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-06T08:43:30.491112+00:00	0	327.66	0.3	16.34	46.6	22.7273	0.84	96	75.8	95.2	0.8849	0.8147	0.8849	0.8849	0.8849	0.7778	0.1874	0.2837	94.2	94.2	92.31	3.85	3.85	95.72	2.67	1.6	95.72	2.67	1.6	95.72	2.67	1.6	declining	stable	-0.0702	0	0	0	26	187	187	187	100	300	-58.3	76.1	62.9	0	67	93.3	98	1	6	2	8,179	3,427	12,341	394,263	214,557	632,100	422,218	1	144,946	14	671,748	585,471	123	538,658	519,488	160	530,480	25	5	20	14,546	28,146	734,279	1,460,619	734,279	0.2887	0.1719	0.3574	0.6322	0.5298	0.552	0.2204	0.3552	0.5837	0.532	0.2503	0.1341	0.2629	0.67	0.6243	159	13	122	144,946	242,573	671,748	0.8016	0.6712	0.1002	0.7032	0.7778	46.5	1.07	198	22.2	0.5781	22.6	2.81	2	49.8	0.3068	585,471	564,598	538,658	0.2239	0.2465	0.2893	0.4451	0.1874	42.6	0.47	598	12.7	0.4664	26.5	3.41	-398	59.3	0.4185	519,488	546,851	530,480	0.3041	Average	0.2634	0.2936	0.2701	0.2837	Below Average	46.7	0.53	749	8.8	Below Average	0.5432	22.4	3.35	-549	63.2	0.3417	14	123	160	523	0	competitive	0.072	4.14	30.8	53.8	15.4	3,335	1,026	competitive	0.0027	1.55	33.6	64.8	1.6	7,478	5,004	competitive	0.0017	0.51	18.2	76.7	5	0	0.1297	0.2117	0.6744	0.6755	4	5	1	3	1	1	0.5	1	0.75	1	39.4	1.97	15	61.3	0.281	29.7	1.91	185	10.7	0.6039	concentrated	0.7663	0.02	50	50	0	0.85	3.53	0.51	0.2599	0.6508	0.5442	0.2364	192	193	301	2,060	6,499	0.9801	0.8676	0.5826	0.9702	0.9706	58.1	1.52	1,700	22.2	0.7306	11	2.36	-1,500	49.8	0.1543	competitive	0.0006	0.002	0.7	0.16	0.8271	0.059	0.2307	0.7451	0.6565	791,801	41.1	0.94	531	20.4	0.4595	28	2.94	-331	0.4254	0.9823	0.8655	0.4773	0.9726	0.9522	13,706	0.7957	51.6	105,990	413,135	44.5	8.8	46.7	791,802	19	53.2	4	342	17.2	0.3801	24.1	0.81	-155	0.5281	1	0.6667	0.5	1	1	1	56.82	43.18	1	19	1.31	7,651	176	0.002	19.93	0.28	35,341	72	0.0481	481.08	51.83	714.29	0.07	81.3	0.03	62.5	5,871.9	2,000	0	51.81	-8.5	-0.91	46	-23.5	-18.7	null	null	null	null	null	0.12	-103,547	0.145	0.55	144,946	0.802	-0.15	154,207	-0.195	0.25	585,471	0.224	-0.11	108,714	-0.136	0.29	519,488	0.304	-0.05	0	0	0.85	1	1	0.12	-2,145	0.144	0.83	301	0.98	0.8849	93.94	3.03	187	1.57	47	1	1	stable	1.57	10.97	47	47	151	151	0.998	0.998	0.998	1	1	1,601	1,661	1,668	1	1	stable	-3.56	null	90.85
CJELK9UM	The Breakroom Pub and Grill	Food and Drink	Restaurants	Bar & grill	Bar & grill, Pub	138 S Michigan St, Argos, IN 46501	138 S Michigan St	Plymouth	Indiana	null	null	46,501	US	true	41.236866	-86.245242	America/Indianapolis	(574) 89-***	2	OPERATIONAL	true	true	null	true	Plymouth	Indiana	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.79	215	{"1": 1, "2": 1, "3": 7, "4": 24, "5": 182}	Onsite services, Takeout, Dine-in	"Bar games, Fast service, Great beer selection, Great cocktails, Karaoke, Live music, Live performan(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Food, Food at bar, Hard liquor, Late-night food, Qu(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-06T08:42:23.569414+00:00	0	0.23	2.9	12,373.21	2,125.6	65.764	0.1	95.8	77.8	95.8	0.9081	null	0.9987	0.9769	0.9048	0.9791	0.0004	null	99.9	95.2	null	null	null	100	0	0	100	0	0	98.08	1.92	0	stable	improving	null	4.7	0.0939	4.9	0	7	22	52	-36.4	-46.2	-100	73	57.8	0	33	99.1	98	17	9	21	7,810	3,575	11,633	374,012	222,959	592,392	400,480	17	511,389	2	733,228	664,963	3	270,724	null	null	null	31	38	58	14,546	28,146	734,279	1,460,619	734,279	null	null	null	null	null	0.4249	0	0.2876	0.9907	0.7101	0.4646	0	-0.5	0.9907	1.4977	null	1	2	511,389	10,553	733,228	0.3093	0.9856	0.0185	0.9823	0.9791	38.9	2.59	35	48.6	0.7511	1.8	-2.44	178	-45.3	0.157	664,963	190,721	270,724	0.1204	0.7455	0.6426	0.9353	0.0004	39.9	1.4	1,052	34.6	-0.0625	0.8	-1.25	-839	-31.3	0.9706	null	null	null	null	Average	null	null	null	null	Average	null	null	null	null	null	null	null	null	null	null	null	2	3	null	27	27	concentrated	0.8589	0.32	100	0	0	1,222	1,172	concentrated	0.092	0.03	50	50	0	null	null	null	null	null	null	null	null	null	0.0556	0.0091	0.9351	0.9886	36	37	18	19	18	0.5526	0.5	0.5526	0.4737	0.9211	39.8	0.96	400	20.1	0.4516	0.9	-0.81	-187	-16.8	0.4565	competitive	0.0146	1.82	55.6	38.9	5.6	0.5368	0.13	14.03	0.2641	0.6533	0.7266	0.3444	192	193	8,493	10,023	6,735	0.453	0.3483	0.5677	0.3819	0.9777	58.2	1.54	1,737	22.5	0.7314	-17.5	-1.39	-1,524	-19.2	0.1767	competitive	0.0006	0.002	0.7	0.16	0.456	0.059	0.2307	0.9317	0.767	791,801	41.1	0.94	531	20.4	0.4595	-0.4	-0.79	-318	0.4486	0.4866	0.4329	0.4901	0.487	0.9646	404,320	0.4715	-17.1	438,548	403,053	44.5	8.8	46.7	791,802	34	54	4.14	313	23.5	0.4777	3.1	0.57	-98	0.4217	0.5152	0.5152	0.6061	0.4545	0.9697	17	65.38	31.22	0.9394	34	35.25	284	517	1.411	14,110.05	0.28	35,341	72	0.0491	491.42	7,376.59	5,000	84.58	3,333.33	null	null	2.12	270.27	0	51.81	-29.3	-4.64	1	-92.5	8.3	null	null	null	null	null	-0.08	150,196	-0.193	0.42	511,389	0.309	0.2	-43,132	0.068	0.46	664,963	0.12	0	0	0	0	0	0	-0.09	3	-0.047	0.54	18	0.553	-0.16	2,520	-0.149	0.46	8,493	0.453	0.9081	100	0	215	0.07	2	0.5	0.71	accelerating	0.07	0.47	2	2	4	46	0.732	0.739	null	0.5	0.71	156,567	163,872	null	7	71	accelerating	-0.1	null	97.17
NRJLF2ET	1830 Chophouse	Food and Drink	Restaurants	American restaurant	"American restaurant, Bar & grill, Caterer, Family restaurant, Italian restaurant, Pasta shop, Salad(...TRUNCATED)	111 W Main St, Lebanon, IN 46052	111 W Main St	Lebanon	Indiana	null	null	46,052	US	true	40.047408	-86.468603	America/Indianapolis	(765) 48-***	2	null	true	true	null	true	Lebanon	Indiana	US	https	https://1830chophouse.com	1830chophouse.com	1830chophouse.com	com	2,036	2020-09-10	2028-09-10	Wix.com Ltd.	purchase_dataset@kdchophouse.com, purchase_dataset@1830chophouse.com, purchase_dataset@owner.com	realdomain	3	2	1	null	true	false	4.52	815	{"1": 35, "2": 25, "3": 41, "4": 95, "5": 639}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Fireplace, Great beer selection, Great cocktails, Great coffee, Great dessert, Great (...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Quiet, Romantic, Trendy, Upscale	Family-friendly, Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs	true	true	purchase_dataset@	true	true	5	2025-08-20	2026-02-03	231	64	45	231	231	64	64	https://www.instagram.com/1830chophouse	1830chophouse	https://www.facebook.com/1830chophouse	1830chophouse	https://twitter.com/boonecochamber	boonecochamber	https://www.tiktok.com/@chophouse1830	chophouse1830	https://www.linkedin.com/company/1830-chophouse	1830-chophouse	null	null	null	null	null	null	null	null	1,189	0.37	null	0.29	0.4	0.37	1,135	59	11	609	6.4	null	null	2.78	6.4	https://1830chophouse.com/menu	https://1830chophouse.com/reservations	https://1830chophouse.com/reservations	2026-04-05T11:30:23.977878+00:00	3.57	1.15	0.3	17,341.24	242.4	137.4663	0.15	90.4	97.1	87.1	0.7359	null	0.7364	0.735	0.7519	0.4443	0.0118	0.0052	86.8	87.6	null	null	null	84.38	12.5	3.13	85.59	11.86	2.54	86.93	11.06	2.01	stable	stable	null	-0.8	-0.0155	-0.9	0	64	118	199	8.5	28.6	-100	84.6	55.1	92	83	88.1	96	14	22	16	2,959	8,226	3,809	135,537	489,109	189,124	145,981	14	572,029	11	569,903	592,364	31	515,959	736,519	5	628,963	196	51	79	14,546	28,146	734,279	1,460,619	734,279	0.1607	0	-0.4012	0.6913	1.1574	0.3599	0.0864	0.1187	0.6049	0.6375	0.3511	-0.0971	0.0781	0.7884	0.6781	4	10	30	572,029	252,225	569,903	0.2293	0.6579	0.236	0.8484	0.4443	37.5	1.04	317	28.9	0.4699	18.2	-0.73	518	-23.2	0.266	592,364	326,101	515,959	0.2145	0.5653	0.3192	0.7079	0.0118	42.4	0.95	633	22.4	0.2487	13.3	-0.64	202	-16.7	0.4872	736,519	485,013	628,963	0.0196	Below Average	0.3466	0.1627	0.6828	0.0052	Below Average	33	0.63	480	21.2	Emerging	0.0327	22.7	-0.32	355	-15.5	0.7032	11	31	5	382	100	moderate	0.2083	3.18	50	50	0	2,106	1,260	competitive	0.0421	0.38	40	56.7	3.3	9,738	9,662	concentrated	0.3031	0.01	75	25	0	0	-0.0243	0.1105	0.7156	0.6457	50	51	4	31	14	0.9412	0.4118	0.7451	0.3529	0.8235	40.7	0.93	543	21.8	0.3271	15	-0.62	292	-16.1	0.4088	competitive	0.0298	1.11	44	54	2	0.7235	0.15	12.21	0.2654	0.6504	0.4259	0.1058	192	193	1,892	9,177	2,486	0.877	0.4099	0.8404	0.4129	0.8443	58.3	1.54	1,694	22.5	0.7312	-2.6	-1.23	-859	-16.8	0.0047	competitive	0.0026	0.002	0.7	0.16	0.7259	0.059	0.2307	0.6323	0.5255	791,801	41.1	0.94	531	20.4	0.4595	14.6	-0.63	304	0.2764	0.8623	0.532	0.8029	0.5411	0.7872	107,992	0.7454	-14.7	368,280	155,844	44.5	8.8	46.7	791,802	38	53.9	3.93	423	23.1	0.4443	22.3	0.54	392	0.2989	0.973	0.5405	0.7838	0.4595	0.7297	2	69.35	20.38	0.7027	38	30.01	333	371	1.6298	16,298.16	0.28	35,341	72	0.0479	479.36	434.03	909.09	17.75	322.58	918.61	2,000	8.9	196.08	0.07	51.81	-30.6	-4.21	35	-81.4	-23.6	null	null	null	null	null	-0.31	367,502	-0.487	0.36	572,028	0.229	0.17	-37,455	0.059	0.35	592,363	0.215	0.08	33,520	-0.031	0.16	736,518	0.02	-0.12	3	-0.059	0.72	4	0.941	-0.12	1,766	-0.114	0.73	1,892	0.877	0.7359	83.33	16.67	815	0.47	14	1	0.969	stable	0.47	3.27	14	14	52	171	0.987	0.987	0.987	1	0.969	11,432	11,899	11,922	1	16	stable	-0.63	null	88.94
2QYF3V8L	Tres Caminos Mexican Grill	Food and Drink	Restaurants	Restaurant	"Restaurant, Bar & grill, Burrito restaurant, Caterer, Mexican restaurant, Mexican torta restaurant,(...TRUNCATED)	229 Grand Valley Blvd, Martinsville, IN 46151	229 Grand Valley Blvd	Martinsville	Indiana	null	null	46,151	US	true	39.416062	-86.410921	America/Indianapolis	(765) 34-***	2	OPERATIONAL	true	true	null	true	Martinsville	Indiana	US	https	https://doordash.com/store/tres-caminos-mexican-grill-martinsville-36998625	doordash.com/store/tres-caminos-mexican-grill-martinsville-36998625	doordash.com	com	4,677	2013-06-18	2031-06-18	MarkMonitor Inc.	purchase_dataset@hotmail.com	null	1	1	0	null	true	false	4.5	860	{"1": 35, "2": 28, "3": 50, "4": 160, "5": 662}	Delivery, Drive-through, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2025-04-02	2025-04-02	371	371	3	371	371	371	371	null	null	https://www.facebook.com/caseyvilleauthenticmexican	caseyvilleauthenticmexican	null	null	https://www.tiktok.com/@3amigosmexicangri	3amigosmexicangri	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	1	0	null	null	null	null	null	https://places.singleplatform.com/los-tres-caminos-2/menu	https://ordertrescaminosmexicangrill.com	https://ordertrescaminosmexicangrill.com	2026-04-05T02:24:24.581013+00:00	0	0.2	1.5	17,981.06	509.4	86.5191	0.12	90	97.8	88.1	0.7567	null	0.9586	0.936	0.7994	0.1127	0.1666	0.4683	97.9	90	null	null	null	100	0	0	94.74	0	5.26	86.79	3.77	9.43	stable	improving	null	7.9	0.1592	8.8	0	5	19	53	-47.4	-62.3	-100	79.8	60.1	24	83	95.5	96	8	22	9	2,721	8,626	3,478	125,094	510,428	174,027	134,948	8	151,761	8	306,221	567,177	29	577,636	436,575	2	741,024	215	46	62	14,546	28,146	734,279	1,460,619	734,279	0.4471	0	0.4009	0.9863	0.5473	0.7362	0.1429	0.3695	0.8434	0.5787	0.35	0.0874	0.3225	0.8989	0.6257	1	7	28	151,761	140,623	306,221	0.7923	0.8083	0.5891	0.8648	0.1127	46.3	1.42	579	29.9	0.341	3.1	-1.33	356	-28.3	0.4157	567,177	301,078	577,636	0.2476	0.5987	0.2379	0.6037	0.1666	43.1	1.02	536	18	0.4577	6.3	-0.93	399	-16.4	0.299	436,575	52,681	741,024	0.4112	Strong	0.9283	0.0138	0.9817	0.4683	Below Average	48.5	2.24	42	42.9	Average	0.6091	0.9	-2.15	893	-41.3	0.1476	8	29	2	282	101	moderate	0.1874	2.23	28.6	57.1	14.3	1,894	1,072	competitive	0.0586	0.36	39.3	57.1	3.6	6,871	6,871	concentrated	0.957	0	0	100	0	0	0.1392	0.3602	0.8471	0.588	42	43	9	34	9	0.8182	0.2045	0.8182	0.1364	0.8409	43.7	1.09	511	21.6	0.4703	5.7	-1	424	-20	0.2864	competitive	0.0418	1.75	35.7	59.5	4.8	0.6341	0.13	15.38	0.2641	0.6522	0.7222	0.296	192	193	4,011	11,500	2,333	0.7395	0.2402	0.8505	0.2596	0.8709	58.2	1.54	1,738	22.5	0.7309	-8.8	-1.45	-803	-20.9	0.0258	competitive	0.0028	0.002	0.7	0.16	0.623	0.059	0.2307	0.9273	0.7175	791,801	41.1	0.94	531	20.4	0.4595	8.3	-0.85	404	0.2972	0.7439	0.2971	0.8276	0.3214	0.8179	200,782	0.635	-18.8	533,656	136,375	44.5	8.8	46.7	791,802	41	55.8	4.19	402	22.2	0.496	13.4	0.74	458	0.2647	0.925	0.8	0.85	0.175	0.775	4	71.67	20.12	0.75	41	35.2	284	497	1.7981	17,981.06	0.28	35,341	72	0.0492	491.89	351.09	1,250	34.36	344.83	9,158.71	5,000	17.44	232.56	0.08	51.81	-24.2	-4.4	80	-86.5	27.3	null	null	null	null	null	-0.02	38,076	-0.05	0.74	151,759	0.792	0.17	-38,631	0.061	0.35	567,175	0.248	-0.06	86,951	-0.109	0.45	436,573	0.411	-0.1	-5	0.128	0.63	9	0.818	-0.1	-195	0.021	0.62	4,011	0.74	0.7567	100	0	860	0.1	3	0.7	0.757	accelerating	0.1	0.7	3	3	5	53	0.834	0.839	0.839	0.7	0.757	104,497	109,172	109,042	6	328	accelerating	0.07	null	91.04
93HSNCJ5	Albion Pizza Depot	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	112 N Orange St, Albion, IN 46701	112 N Orange St	Kendallville	Indiana	null	null	46,701	US	true	41.3961	-85.4236	America/Indianapolis	(260) 63-***	2	OPERATIONAL	true	true	null	true	Kendallville	Indiana	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.6	428	{"1": 9, "2": 10, "3": 17, "4": 71, "5": 324}	Delivery, Onsite services, Takeout, Dine-in	Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Small plates	Lunch, Dinner, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet, Trendy	College students, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-05T00:24:09.102136+00:00	0	0.1	5	12,251.97	1,013	39.9361	0.19	92	87.7	91.6	0.8132	null	1	0.9036	0.8364	0.8029	0.3872	0.1904	100	91.8	null	null	null	100	0	0	100	0	0	96.15	3.85	0	stable	improving	null	8.2	0.1636	8.9	0	2	13	26	-69.2	-69.2	-100	69.5	37.4	0	33	98.9	96	12	9	12	5,642	6,667	7,881	259,302	400,970	387,731	277,952	12	102,048	4	393,965	464,149	3	692,034	750,725	3	748,062	113	23	32	14,546	28,146	734,279	1,460,619	734,279	0.0014	0	0	1	1	0.7412	0	0.6667	1	0.3333	0.3947	0	0.7792	1	0.2208	2	3	2	102,048	107,904	393,965	0.8596	0.8528	0.4716	0.8757	0.8029	47.9	1.56	484	30.6	0.5894	-9.9	-1.48	-53	-29	0.2238	464,149	210,435	692,034	0.3816	0.7195	0.0874	0.8009	0.3872	45.5	1.32	333	26.6	0.5317	-7.5	-1.24	98	-25	0.2815	750,725	746,280	748,062	0.0011	Strong	0	0.0033	0.7644	0.1904	Below Average	21.3	0	1	25	Emerging	0.5	16.7	0.08	430	-23.4	0.3132	4	3	3	239	103	concentrated	0.2288	0.95	0	100	0	3,107	1,313	concentrated	0.3929	0.03	0	100	0	8,293	7,619	concentrated	0.9977	0.01	100	0	0	0	0.0301	0.1147	0.9699	0.8853	24	25	21	19	13	0.2	0.2	0.52	0.2	0.88	43.5	1.3	524	21.3	0.4111	-5.5	-1.22	-93	-19.7	0.4021	competitive	0.0331	1.46	37.5	62.5	0	0.296	0.2	10.16	0.2641	0.6545	0.7359	0.3455	192	193	9,800	11,853	4,305	0.3689	0.214	0.7236	0.2596	0.9284	58.2	1.54	1,690	22.5	0.7314	-20.2	-1.46	-1,259	-20.9	0.0818	competitive	0.0013	0.002	0.7	0.16	0.4288	0.059	0.2307	0.941	0.7693	791,801	41.1	0.94	531	20.4	0.4595	-3.1	-0.86	-100	0.3537	0.4124	0.2667	0.6487	0.3214	0.8903	463,090	0.4396	-18.8	556,571	277,708	44.5	8.8	46.7	791,802	21	54.8	3.87	420	24.5	0.4957	2.1	1.13	8	0.3189	0.5	0.9	0.55	0.15	0.85	11	79.61	16.63	0.9	21	23.37	428	626	1.2252	12,251.97	0.28	35,341	72	0.0478	478.32	523.35	2,500	1,543.62	3,333.33	9,953.76	3,333.33	10.97	400	0.02	51.81	-27.8	-4.52	6	-89.9	4.6	null	null	null	null	null	0.09	-167,026	0.232	0.74	102,047	0.86	0.04	60,465	-0.074	0.39	464,148	0.382	0	10,777	-0.001	0	750,724	0.001	-0.24	4	-0.16	0.3	21	0.2	-0.16	1,624	-0.088	0.43	9,800	0.369	0.8132	100	0	428	0.03	1	1	0.501	stable	0.03	0.23	1	1	3	25	0.507	0.515	0.517	1	0.501	253,363	266,224	265,236	1	282	stable	0.03	null	96.25
GG66Y8TR	Big Walt's Wings & More	Food and Drink	Restaurants	Restaurant	Restaurant	2311 E 34th St, Indianapolis, IN 46218	2311 E 34th St	Indianapolis	Indiana	null	null	46,218	US	true	39.817891	-86.122388	America/Indianapolis	(317) 92-***	1	OPERATIONAL	true	true	null	true	Indianapolis	Indiana	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.6	518	{"1": 11, "2": 12, "3": 27, "4": 76, "5": 402}	Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible parking lot	Comfort food, Quick bite, Small plates	Breakfast, Lunch, Dinner, Dessert	null	Casual, Trendy	College students	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/big-walts-wings-and-more/menu	null	null	2026-04-05T00:05:23.551576+00:00	0	0.91	5.6	3,242.73	109.4	195.6757	2.26	92	90.5	90.3	0.7947	-0.2634	0.3364	0.7507	0.7149	0.1663	0.4787	0.6791	66.8	85.7	0	100	0	66.67	33.33	0	91.67	8.33	0	85.71	11.43	2.86	declining	declining	-0.5998	-18.9	-0.3785	-22.1	1	3	12	35	-50	-65.7	0	66.5	52.4	0	33	63.3	96	1,158	1,576	1,658	4,910	6,657	6,753	224,374	400,408	328,785	240,287	1,158	689,673	18	301,123	523,386	150	475,656	254,619	163	227,866	112	3,463	6,744	14,546	28,146	734,279	1,460,619	734,279	0.5741	0.2968	0.5207	-0.5602	-0.516	0.2531	-0.0118	0.0631	-0.2516	-0.0584	0.3182	0.1553	0.2819	-0.4187	-0.2772	162	17	149	689,673	631,208	301,123	0.075	0.1478	0.596	0.1087	0.1663	33.1	0.26	585	5.8	0.3731	2.2	-0.17	-57	-3.9	0.4216	523,386	538,167	475,656	0.3048	0.282	0.3724	0.2672	0.4787	44.2	0.51	698	8.6	0.5573	-8.9	-0.42	-170	-6.7	0.2374	254,619	485,013	227,866	0.653	Below Average	0.3466	0.6963	0.2953	0.6791	Below Average	51.2	0.63	1,435	9.3	Average	0.6708	-15.9	-0.54	-907	-7.4	0.1239	18	150	163	765	58	competitive	0.0504	5.41	64.7	35.3	0	3,715	1,018	competitive	0.0051	1.9	28.9	67.1	4	6,799	5,005	competitive	0.0023	0.52	0.6	87.7	11.7	0	0.3007	0.6332	-0.5641	-0.6285	180	181	2,213	1,995	929	0.3944	0.419	0.7463	0.4007	0.9037	54	0.76	1,589	11.6	0.7195	-18.7	-0.67	-1,061	-9.7	0.0752	competitive	0.0018	0.19	0.6	81.1	18.3	0.5074	2.26	1.1	0.2742	0.6525	-0.5376	-0.6478	192	193	10,971	11,500	3,804	0.294	0.2402	0.7561	0.2849	0.9124	58.3	1.54	1,697	22.6	0.7328	-23	-1.45	-1,169	-20.7	0.0619	competitive	0.0016	0.002	0.7	0.16	0.4165	0.059	0.2307	-0.3224	-0.226	791,801	41.1	0.94	531	20.4	0.4595	-5.8	-0.85	-3	0.3352	0.3431	0.2971	0.6963	0.3674	0.8685	518,246	0.4352	-18.5	533,656	240,136	44.5	8.8	46.7	791,802	3,064	50.1	4.06	398	13	0.4342	7.8	0.74	119	0.3764	0.602	0.5952	0.6768	0.4802	0.8939	1,211	59.29	36.45	0.9425	3,064	2.04	4,900	925	0.3243	3,242.73	0.28	35,341	72	0.048	480.29	25.4	555.56	0.26	66.67	0.05	61.35	0.03	55.25	0.03	51.81	-29.6	-4.51	11	-88.6	19.6	null	null	null	null	null	-0.01	34,550	-0.034	0.25	689,672	0.075	-0.2	165,442	-0.212	0.32	523,358	0.305	-0.19	104,706	-0.135	0.57	254,520	0.653	-0.12	429	-0.111	0.51	2,213	0.394	-0.18	2,348	-0.133	0.42	10,971	0.294	0.7947	0	100	518	0.03	1	0.445	0.447	accelerating	0.03	0.23	1	1	2	34	0.507	0.515	0.517	0.445	0.447	253,363	266,224	265,236	161	669	accelerating	-0.04	null	93.82
3Z7CYC2N	Joe's Butcher Shop and Fish Market	Food and Drink	Restaurants	Butcher shop deli	Butcher shop deli, Gourmet grocery store, Restaurant, Seafood market	111 W Main St #110, Carmel, IN 46032	111 W Main St #110	Carmel	Indiana	null	null	46,032	US	true	39.978213	-86.128824	America/Indianapolis	(317) 84-***	0	null	true	false	null	true	Carmel	Indiana	US	http	http://joesbutchershop.com	joesbutchershop.com	joesbutchershop.com	com	7,511	2005-09-14	2030-09-14	GoDaddy.com, LLC	purchase_dataset@gmail.com, purchase_dataset@joesbutchershop.com	realdomain	2	2	0	null	true	false	4.78	467	{"1": 11, "2": 6, "3": 4, "4": 31, "5": 414}	Delivery, In-store pickup, In-store shopping, Onsite services	null	null	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	null	null	Gender-neutral restroom, Wi-Fi	null	LGBTQ+ friendly	Quick visit	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	7	2025-10-28	2026-02-26	162	41	36	162	162	41	41	https://www.instagram.com/joes_butchershop	joes_butchershop	https://www.facebook.com/joesbutchershop	joesbutchershop	https://twitter.com/joesbutchershop	joesbutchershop	https://www.tiktok.com/@joesbutchershop	joesbutchershop	https://www.linkedin.com/in/joelazzara	joelazzara	null	null	null	null	null	null	null	null	3,692	0.82	null	0.4	0.82	0.82	1,114	2	0	0	null	null	null	null	null	https://joesnextdoor.com/order-for-pickup	null	null	2026-04-04T23:58:00.625499+00:00	6.33	0.13	0.2	10,830.9	109.7	223.9583	0.27	95.6	89	95.3	0.8689	null	0.1479	0.6447	0.7609	0.8184	0.4335	0.5303	57.4	88	null	null	null	20	0	80	69.57	4.35	26.09	83.02	5.66	11.32	stable	declining	null	-30.6	-0.613	-34.8	0	5	23	53	-56.5	-62.3	-100	78.2	27.4	84	83	68.2	96	100	85	132	5,349	3,687	7,401	243,605	229,193	361,019	261,255	100	241,230	42	384,050	518,884	140	509,707	321,369	170	391,914	34	282	568	14,546	28,146	734,279	1,460,619	734,279	0.5083	0.1819	0.5024	-0.146	-0.3545	0.569	0.1262	0.385	-0.0903	-0.2371	0.2991	0.0864	0.3779	-0.0505	-0.23	169	41	139	241,230	356,404	384,050	0.6708	0.5175	0.4848	0.4894	0.8184	44.1	0.76	494	15.1	0.5969	1.5	-0.66	-28	-13	0.272	518,884	558,136	509,707	0.3102	0.2559	0.3275	0.3554	0.4335	44.3	0.48	643	10.4	0.5445	1.3	-0.38	-177	-8.3	0.3244	321,369	397,282	391,914	0.563	Average	0.4657	0.4779	0.4233	0.5303	Below Average	50.2	0.8	1,081	12.1	Average	0.6285	-4.6	-0.7	-615	-10	0.2404	42	140	170	342	36	competitive	0.0225	13.05	34.1	58.5	7.3	2,605	1,067	competitive	0.0052	1.77	28.1	65.5	6.5	8,290	5,669	competitive	0.0025	0.54	8.3	79.9	11.8	0	0.1376	0.4272	-0.1017	-0.2793	171	172	92	135	79	0.6984	0.5344	0.7443	0.5738	0.9508	45.1	0.41	627	7.6	0.6094	0.5	-0.31	-161	-5.5	0.2595	competitive	0.0043	1.32	23.4	71.3	5.3	0.663	0.27	7.73	0.2641	0.6501	-0.2282	-0.5022	192	193	6,045	11,853	4,281	0.609	0.214	0.7253	0.2849	0.9644	58.3	1.56	1,721	22.8	0.7282	-12.7	-1.46	-1,255	-20.7	0.1407	competitive	0.0014	0.002	0.7	0.16	0.5254	0.059	0.2307	-0.0231	-0.0828	791,801	41.1	0.94	531	20.4	0.4595	4.5	-0.84	-65	0.4094	0.6354	0.326	0.6671	0.3942	0.9416	286,278	0.5521	-18.3	512,321	263,231	44.5	8.8	46.7	791,802	260	55.6	4.27	411	13.2	0.5422	11.4	0.63	56	-0.1071	0.7876	0.7259	0.6448	0.4942	0.2625	54	67.62	-33.05	0.1853	260	17.14	583	768	1.0743	10,742.81	0.28	35,341	72	0.0487	486.83	5.06	238.1	0.27	71.43	0.06	58.82	0.19	58.14	0.02	51.81	-35.4	-4.67	1	-93.2	-39.8	null	null	null	null	null	-0.15	113,131	-0.151	0.57	241,229	0.671	-0.28	223,016	-0.288	0.3	518,883	0.31	-0.23	142,345	-0.186	0.51	321,368	0.563	-0.14	55	-0.183	0.66	92	0.698	-0.28	4,900	-0.313	0.53	6,045	0.609	0.8689	0	0	467	0.03	1	0	0.714	decelerating	0.03	0.23	1	1	10	48	0.507	0.515	0.517	0	0.714	253,363	266,224	265,236	1	2	decelerating	-0.1	null	93.35
DCFJ3XHR	Chick-fil-A	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Caterer, Chicken restaurant, Delivery service, Family r(...TRUNCATED)	7606 E US Hwy 36, Avon, IN 46123	7606 E US Hwy 36	Indianapolis	Indiana	null	null	46,123	US	true	39.763593	-86.388339	America/Indianapolis	(317) 45-***	1	null	true	true	null	true	Indianapolis	Indiana	US	https	https://chick-fil-a.com	chick-fil-a.com	chick-fil-a.com	com	11,119	1995-10-25	2026-10-24	CSC Corporate Domains, Inc.	null	null	0	0	0	null	true	false	4.56	297	{"1": 12, "2": 6, "3": 10, "4": 41, "5": 229}	No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	null	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom	Coffee, Healthy options, Quick bite	Breakfast, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom, Wi-Fi	Casual	Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), 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://chick-fil-a.com/locations/in/hwy-36-beechwood-dr-in/menu	null	null	2026-04-04T23:28:53.707614+00:00	0	11.58	3.4	1,425.96	94.4	109.1892	2.95	91.2	82.5	90.2	0.7148	0.9849	0.6449	0.7138	0.7111	0.5787	0.087	0.2347	82.2	85.6	100	0	0	86.36	13.64	0	87.72	7.02	5.26	87.69	10	2.31	improving	declining	0.34	-3.4	-0.0662	-4	4	22	57	130	-22.8	-32.3	-45.5	71.4	65.5	0	50	78.3	96	1,569	1,772	2,368	6,845	7,508	9,914	322,548	447,188	497,633	345,303	1,569	218,644	21	194,347	592,364	86	329,589	515,862	141	495,455	153	3,463	6,744	14,546	28,146	734,279	1,460,619	734,279	0.284	0.1716	0.3243	0.8133	0.1497	0.5467	0.2527	0.25	0.7322	0.224	0.3504	0.1154	0.1998	0.8695	0.2742	140	20	85	218,644	631,208	194,347	0.7017	0.1478	0.7391	0.0609	0.5787	44.6	0.26	732	3.9	0.5089	-3.6	-0.07	-434	-0.2	0.2059	592,364	511,615	329,589	0.2145	0.3173	0.5649	0.3509	0.087	42.4	0.55	938	10.3	0.4122	-1.4	-0.36	-640	-6.6	0.3026	515,862	599,050	495,455	0.3088	Average	0.1947	0.3402	0.1655	0.2347	Below Average	46.8	0.45	843	7	Below Average	0.5219	-5.8	-0.26	-545	-3.3	0.1929	21	86	141	465	148	competitive	0.0199	6.37	25	75	0	3,267	1,044	competitive	0.0037	1.08	35.3	62.4	2.4	7,268	5,165	competitive	0.0025	0.45	16.4	78.6	5	0	0.3007	0.6332	0.6842	-0.1592	180	181	1,560	1,338	1,264	0.5717	0.6277	0.6547	0.6086	0.8025	54	0.76	1,589	11.6	0.7195	-13	-0.57	-1,291	-7.9	-0.0047	competitive	0.001	0.19	0.6	81.1	18.3	0.6134	2.26	1.1	0.2641	0.6526	0.7208	-0.1786	192	193	8,403	9,907	5,602	0.4583	0.3575	0.6404	0.3862	0.8168	58.3	1.57	1,697	22.7	0.7291	-17.3	-1.38	-1,399	-19	-0.0143	competitive	0.0009	0.002	0.7	0.16	0.4827	0.059	0.2307	0.9259	0.2433	791,801	41.1	0.94	531	20.4	0.4595	-0.1	-0.75	-233	0.2553	0.495	0.476	0.5632	0.5018	0.756	397,575	0.5098	-16.7	409,027	345,264	44.5	8.8	46.7	791,802	3,064	50.1	4.06	398	13	0.4342	8.6	-0.06	-105	0.2917	0.6232	0.2589	0.5547	0.5527	0.7813	1,146	59.29	30.35	0.7946	3,064	2.04	4,900	925	0.3243	3,242.73	0.28	35,341	72	0.048	480.31	3.98	476.19	0.14	116.28	0.06	70.92	0.01	55.25	0.01	51.81	-31.1	-4.38	10	-86.6	-7.2	null	null	null	null	null	-0.2	132,032	-0.178	0.55	218,644	0.702	0.12	-18,523	0.034	0.35	592,364	0.215	-0.03	49,571	-0.058	0.28	515,862	0.309	-0.05	519	-0.139	0.61	1,560	0.572	-0.16	3,422	-0.209	0.48	8,403	0.458	0.7148	100	0	297	0.23	7	0.945	0.965	accelerating	0.23	1.63	7	7	12	113	0.956	0.958	0.958	0.945	0.965	32,390	33,778	33,811	15	46	accelerating	-0.14	null	89

End of preview. Expand in Data Studio

Restaurant Social Ghosts in Indiana, US

Free sample dataset from BeamStation

Restaurant Social Ghosts in Indiana, US is a weekly‑updated collection of 225 dining establishments that excel in food quality but have minimal or absent social‑media footprints. Each record includes the restaurant’s name, address, contact details, and any existing social‑media handles or follower counts, allowing users to spot venues with strong culinary reputations yet limited online visibility. Marketing agencies, consultants, and freelance growth specialists can use this list to identify prospects for social‑media strategy services, content creation, or paid‑media campaigns aimed at boosting brand awareness and driving foot traffic. Local chambers of commerce, tourism boards, or economic‑development groups may also find the dataset valuable for supporting small‑business outreach programs. By focusing on Indiana‑based eateries, the dataset offers a geographically scoped, actionable target list for anyone looking to help great‑performing restaurants improve their digital distribution. Access the full dataset at https://beamstation.com/datasets/340637/.

Dataset Details

Field	Value
Full dataset	225 records
Sample size	22 records
Location	Indiana
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-indiana-us-340637")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 225 records and unmasked contact data is available at:

Restaurant Social Ghosts in Indiana, US on BeamStation

License

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

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