Datasets:

beamstation
/

restaurant-social-ghosts-in-nebraska-us-178278

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 null	emails_list_website_domain null	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 null	social_username_twitter null	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin null	social_username_linkedin null	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 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_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 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 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 int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius float64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_10km_avg_distance_m 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 int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall 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 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_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 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
R5F55597	Jalisco Restaurant	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	417 D St, Fairbury, NE 68352	417 D St	Fairbury	Nebraska	null	null	68,352	US	true	40.135847	-97.181472	America/Chicago	(402) 72-***	2	OPERATIONAL	true	true	null	true	Fairbury	Nebraska	US	null	null	null	null	null	null	null	null	null	null	null	null	true	false	4.5	370	{"1": 14, "2": 6, "3": 15, "4": 81, "5": 254}	Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Coffee, Comfort food, Healthy options, Quick bite, Small plates	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	Family-friendly, Groups, Tourists	Accepts reservations	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	2026-04-04T19:05:28.902794+00:00	0	0.21	0.8	4,901.76	937	18.2421	0.14	90	85.6	90.5	0.7633	1	1	0.9679	0.8184	0.4081	0.003	0.9939	100	90.9	100	0	100	0	0	100	0	0	95.24	4.76	0	stable	improving	0	9.1	0.1816	10	2	6	9	21	33.3	14.3	0	69.2	42.8	0	33	97.3	94	4	5	4	1,636	3,748	2,535	285,015	513,371	431,747	305,325	4	185,203	5	674,274	748,797	6	732,819	743,655	2	729,771	40	11	20	4,640	10,278	734,279	1,460,619	734,279	0.0127	0	1	1	0	0.5934	0.2352	0.4807	0.7648	0.5193	0.0165	0	-0.0692	1	1.0692	1	4	5	185,203	83,860	674,274	0.7468	0.8852	0.0969	0.9759	0.4081	45.4	1.68	194	44.8	0.4592	9.1	0.72	176	3	0.3041	748,797	755,151	732,819	0.0128	0.004	0.034	0.8716	0.003	32.6	0.02	209	30.3	0.0523	21.9	2.38	161	17.5	0.711	743,655	746,280	729,771	0.0102	Average	0	0.0288	0	0.9939	Emerging	30	0	126	0	Emerging	0.8568	24.5	2.4	244	47.8	-0.0935	5	6	2	235	117	concentrated	0.3229	1.27	25	75	0	1,683	1,226	concentrated	0.2617	0.06	80	20	0	9,300	9,300	concentrated	0.746	0	100	0	0	0	0.0941	0.2577	0.9059	0.7423	10	11	1	5	2	1	0.6	0.9	0.8	1	37.5	0.68	195	33	0.2955	17	1.72	175	14.8	0.4678	moderate	0.1598	1.52	60	40	0	0.85	0.17	9.45	0.1087	0.605	0.8913	0.395	182	183	265	851	1,007	0.9488	0.8369	0.8069	0.8653	0.8712	51.6	0.69	1,231	11.5	0.7058	2.9	1.71	-861	36.3	0.0575	competitive	0.0016	0.0009	0.58	0.48	0.8727	0.059	0.2307	0.941	0.7693	791,801	41.1	0.94	531	20.4	0.4595	13.4	1.46	-161	0.3038	0.8453	0.7091	0.613	0.763	0.8272	121,267	0.7347	27.4	229,422	305,892	44.5	8.8	46.7	791,802	9	45.2	4	184	36.5	0.4363	20.2	0.46	184	0.3423	0.875	0.375	0.75	0.5	0.875	2	60.32	34.19	0.75	9	25.19	397	603	0.4902	4,901.76	0.93	10,777	10	0.1143	1,142.62	1,042.4	2,000	684.71	1,666.67	5,564.68	5,000	255.23	909.09	0.03	54.64	-15.4	-2.1	2	-42.7	-19	null	null	null	null	null	0.24	-382,837	0.521	0.59	185,203	0.747	-0.16	176,148	-0.218	0.02	748,797	0.013	-0.36	139,711	-0.173	0.01	743,655	0.01	0.12	-1	0.167	0.85	1	1	0.22	-1,473	0.293	0.87	265	0.949	0.7633	100	370	0.07	2	0	0.655	stable	0.07	0.47	2	2	6	17	0.732	0.739	0.74	0	0.655	156,567	163,872	163,540	1	75	stable	-0.03	null	91.03
Q4HJS329	China House	Food and Drink	Restaurants	Chinese restaurant	Chinese restaurant	3800 Old Cheney Rd, Lincoln, NE 68516	3800 Old Cheney Rd	Lincoln	Nebraska	null	null	68,516	US	true	40.756607	-96.664222	America/Chicago	(402) 42-***	2	OPERATIONAL	true	true	null	true	Lincoln	Nebraska	US	null	null	null	null	null	null	null	null	null	null	null	Unassuming counter-serve restaurant dishing up hearty portions of familiar Chinese fare.	true	true	4.62	373	{"1": 10, "2": 6, "3": 16, "4": 48, "5": 287}	Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Comfort food, Healthy options, Quick bite, Small plates, Vegetarian options	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Quiet	College students, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	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	2026-04-04T07:20:46.956433+00:00	0	1.1	5.1	5,459.94	271.5	162.2607	0.69	92.4	85.8	91.2	0.8252	1	1	1	0.8916	0.3381	0.3969	0.3102	100	94.6	100	0	100	0	0	100	0	0	96.55	3.45	0	stable	improving	0	5.4	0.1084	5.7	3	5	12	29	-16.7	-31	80	74.3	60.1	0	50	98.7	94	327	493	541	1,626	2,837	2,519	283,551	381,637	429,193	303,773	327	429,464	20	414,618	443,992	116	453,793	565,873	138	471,711	21	765	1,725	4,640	10,278	734,279	1,460,619	734,279	0.2906	0.0937	0.2731	0.9063	0.7269	0.4189	0.0362	0.1654	0.9638	0.8346	0.3788	0.1192	0.3167	0.8808	0.6833	137	19	115	429,464	446,682	414,618	0.418	0.3952	0.4438	0.4488	0.3381	40.5	0.57	463	14	0.438	2.6	-0.44	-96	-11.3	0.3872	443,992	511,615	453,793	0.4082	0.3173	0.4012	0.337	0.3969	45.9	0.55	734	10	0.5344	-2.8	-0.42	-367	-7.3	0.2908	565,873	540,416	471,711	0.2434	Average	0.2724	0.3718	0.3103	0.3102	Below Average	45.2	0.54	901	9.6	Below Average	0.5535	-2.1	-0.41	-534	-6.9	0.2717	20	116	138	540	85	competitive	0.04	6.05	36.8	63.2	0	3,002	1,233	competitive	0.0043	1.46	19.1	73.9	7	7,392	5,144	competitive	0.003	0.44	17.5	80.3	2.2	0	0.0852	0.2925	0.9148	0.7075	177	178	203	823	197	0.7639	0.0463	0.7731	0.0544	0.9792	44.9	0.68	898	12.8	0.5111	-1.8	-0.55	-531	-10.1	0.3141	competitive	0.0023	0.67	19.8	76.8	3.4	0.5514	0.69	2.73	0.1099	0.6054	0.8901	0.3946	182	183	1,695	4,960	1,010	0.6729	0.0483	0.8067	0.055	0.9327	51.6	0.7	1,229	11.6	0.7076	-8.5	-0.57	-862	-8.9	0.1176	competitive	0.0016	0.0009	0.58	0.48	0.5257	0.059	0.2307	0.941	0.7693	791,801	41.1	0.94	531	20.4	0.4595	2	-0.81	-164	0.3657	0.558	0.3979	0.6111	0.4529	0.9032	347,577	0.5259	-17.7	461,663	307,420	44.5	8.8	46.7	791,802	680	51.3	4.06	392	12.1	0.4099	6.3	0.94	-25	0.4113	0.5979	0.6996	0.592	0.3594	0.944	272	55.84	39.5	0.9691	680	6.08	1,645	1,097	0.546	5,459.94	0.93	10,777	10	0.114	1,139.9	16.02	500	0.19	86.21	0.09	72.46	0.05	56.18	0.03	54.64	-24.6	-4.49	1	-88.3	27.3	null	null	null	null	null	0	-23,142	0.039	0.42	429,463	0.418	-0.1	51,412	-0.062	0.38	443,990	0.408	-0.14	129,585	-0.163	0.29	565,865	0.243	-0.09	-172	0.203	0.55	203	0.764	-0.12	-442	0.096	0.53	1,695	0.673	0.8252	100	373	0.1	3	0.784	0.824	accelerating	0.1	0.7	3	3	5	30	0.834	0.839	0.839	0.784	0.824	104,497	109,172	109,042	3	12	accelerating	0.07	null	95.71
QKFAL6KH	Chopsticks Chinese Cuisine	Food and Drink	Restaurants	Chinese restaurant	Chinese restaurant	6891 A St Suite 215, Lincoln, NE 68510	6891 A St Suite 215	Lincoln	Nebraska	null	null	68,510	US	true	40.798445	-96.626782	America/Chicago	(402) 48-***	2	null	true	true	null	true	Lincoln	Nebraska	US	https	https://chopstickslincoln.com/#	chopstickslincoln.com/#	chopstickslincoln.com	com	3,969	2015-05-27	2026-05-27	GoDaddy.com, LLC	null	null	Lo mein, fried rice & other Chinese favorites whipped up in an unassuming setting.	true	true	4.63	1,030	{"1": 57, "2": 14, "3": 19, "4": 74, "5": 867}	No-contact delivery, Onsite services, Takeout, Dine-in	Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Vegetarian options	Lunch, Dinner, Counter service, Seating	Restroom	Casual, Cozy, Quiet	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2024-05-11	2026-02-19	697	48	41	697	697	48	48	https://www.instagram.com/chopstix.inks	chopstix.inks	https://www.facebook.com/chopstickschinesecuisine	chopstickschinesecuisine	null	null	https://www.tiktok.com/@chopstickslincoln	chopstickslincoln	null	null	null	null	null	null	null	null	null	null	2,662	6.2	null	12.02	6.2	6.2	134	58	5	731	6.49	null	1.55	1.55	1.55	https://chopstickslincoln.com/order	https://chopstickslincoln.com/#	https://chopstickslincoln.com/#	2026-04-04T07:20:08.725293+00:00	1.63	2.55	0.3	5,823.03	91	163.1723	0.68	92.6	100	91.3	0.8072	1	0.8773	0.8925	0.8555	0.2866	0.3449	0.2684	93.9	92.8	100	0	94.87	5.13	0	94.51	5.49	0	92.47	6.45	1.08	improving	stable	0.1227	1.1	0.0218	1.2	6	39	91	186	-14.3	-16.1	-53.8	82.9	40.5	76	83	93.3	94	83	477	109	382	2,757	515	84,796	367,937	113,725	91,394	83	481,447	9	600,254	474,144	118	391,558	571,099	147	491,280	19	765	1,725	4,640	10,278	734,279	1,460,619	734,279	0.2878	0.0539	0.2436	0.9461	0.6303	0.3603	0.2466	0.1501	0.7534	0.7238	0.3636	0.1029	0.3401	0.8971	0.5338	146	8	117	481,447	339,467	600,254	0.349	0.5402	0.1955	0.4858	0.2866	39.5	0.8	286	15	0.4216	12.8	-0.58	745	-10.7	0.3856	474,144	571,723	391,558	0.3688	0.2371	0.4832	0.2672	0.3449	45.3	0.46	834	8.6	0.5193	7	-0.24	197	-4.3	0.2879	571,099	521,348	491,280	0.2367	Below Average	0.298	0.3458	0.3485	0.2684	Below Average	45	0.57	854	10.4	Below Average	0.5367	7.3	-0.35	177	-6.1	0.2705	9	118	147	72	1	moderate	0.3105	2.55	50	37.5	12.5	3,194	1,452	competitive	0.0105	1.49	17.1	77.8	5.1	7,047	5,025	competitive	0.0082	0.46	19.9	77.4	2.7	0	0.0847	0.2935	0.9153	0.5804	178	179	25	809	69	0.9711	0.0625	0.9213	0.0648	0.9745	44.9	0.68	894	12.8	0.5122	7.4	-0.46	137	-8.5	0.295	competitive	0.0064	0.67	19.7	77	3.4	0.6836	0.68	2.75	0.1044	0.6016	0.8956	0.2723	182	183	383	3,756	343	0.9245	0.2426	0.9345	0.0619	0.9184	51.6	0.69	1,227	11.6	0.7061	0.7	-0.47	-196	-7.3	0.1011	competitive	0.0046	0.0009	0.58	0.48	0.7229	0.059	0.2307	0.941	0.6432	791,801	41.1	0.94	531	20.4	0.4595	11.2	-0.72	500	0.3477	0.8084	0.496	0.848	0.5175	0.8836	150,255	0.7265	-16.1	394,914	120,240	44.5	8.8	46.7	791,802	680	51.3	4.06	392	12.1	0.4099	22.2	0.75	628	0.3922	0.9838	0.6583	0.8925	0.6775	0.9323	11	55.84	36.07	0.9264	680	6.12	1,635	1,097	0.5468	5,468.15	0.93	10,777	10	0.1139	1,138.6	964.36	1,111.11	1.09	84.75	0.67	68.03	0.41	55.87	0.21	54.64	-33.6	-4.4	13	-86.9	-35.3	null	null	null	null	null	-0.05	-10,234	0.022	0.36	481,446	0.349	-0.12	81,564	-0.101	0.36	474,143	0.369	-0.16	155,838	-0.197	0.29	571,098	0.237	-0.22	21	-0.025	0.68	25	0.971	-0.17	353	-0.07	0.72	383	0.925	0.8072	100	1,030	0.23	7	0.973	0.969	decelerating	0.23	1.63	7	7	35	112	0.956	0.958	0.958	0.973	0.969	32,390	33,778	33,811	2	4	decelerating	-0.24	null	92.3
TSDDXCET	Dutch Pantry	Food and Drink	Restaurants	Restaurant	Restaurant, Coffee shop, Deli, Grocery store	2402 J St, Auburn, NE 68305	2402 J St	Auburn	Nebraska	null	null	68,305	US	true	40.379719	-95.839195	America/Chicago	(402) 27-***	1	OPERATIONAL	true	true	null	true	Auburn	Nebraska	US	null	null	null	null	null	null	null	null	null	null	null	null	true	false	4.89	187	{"1": 0, "2": 0, "3": 2, "4": 16, "5": 169}	Outdoor seating, Onsite services, Takeout, Dine-in	Great coffee, Great dessert, Serves local specialty	Lunch, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Coffee, Comfort food, Quick bite, Small plates	Lunch, Dessert, Seating	Restroom	Casual, Cozy, Quiet	Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments, SNAP/EBT	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/dutch-pantry-2/menu	null	null	2026-04-04T01:00:44.404236+00:00	0	0.24	0.8	4,951.01	827.9	16.2866	0.14	97.8	75.8	98.9	0.3887	0.0252	0.3881	0.4275	0.3129	0.244	0.0877	null	69.4	65.6	0	100	37.5	0	62.5	46.15	0	53.85	30	0	70	declining	improving	-0.3629	3.8	0.0752	5.8	2	8	13	30	23.1	6.7	-25	63.3	42.8	0	33	45.7	94	4	1	5	2,322	1,132	3,911	394,248	154,883	632,037	422,200	4	692,844	3	690,721	750,429	8	734,907	null	null	null	1	15	32	4,640	10,278	734,279	1,460,619	734,279	null	null	null	null	null	0.0542	0	-0.4994	0.0252	0.5204	0.0181	0.1466	0.2941	-0.1214	-0.2731	null	2	7	692,844	737,500	690,721	0.0709	0.0111	0.075	0.0065	0.244	32.9	0.02	165	0.4	0.4064	17.6	3.04	22	61.6	-0.0177	750,429	746,568	734,907	0.0107	0.0147	0.0312	0.5506	0.0877	32	0.1	198	16.1	0.4128	18.5	2.96	-11	45.9	-0.0241	null	null	null	null	Emerging	null	null	null	null	Emerging	null	null	null	null	null	null	null	null	null	null	null	3	8	null	172	171	concentrated	0.3624	0.64	100	0	0	1,907	1,197	moderate	0.1187	0.09	100	0	0	null	null	null	null	null	null	null	null	null	0.114	0.1178	-0.0888	-0.0968	9	10	1	2	4	1	0.875	0.625	1	0.375	32.2	0.08	191	12.6	0.4114	18.3	2.98	-4	49.4	-0.0227	moderate	0.0982	1.59	100	0	0	0.85	0.16	8.35	0.1087	0.605	-0.0835	-0.584	182	183	529	679	1,526	0.8975	0.8699	0.7078	0.9613	0.4162	51.6	0.69	1,231	11.5	0.7058	-1.1	2.37	-1,044	50.5	-0.3171	competitive	0.0008	0.0009	0.58	0.48	0.8323	0.059	0.2307	-0.0338	-0.2097	791,801	41.1	0.94	531	20.4	0.4595	9.4	2.12	-344	-0.0708	0.7706	0.797	0.4643	0.9408	0.3696	179,831	0.6866	41.6	159,743	423,389	44.5	8.8	46.7	791,802	14	39	3.95	115	33.9	0.2316	21.8	0.95	72	0.7154	1	0.3077	0.7692	1	1	1	31.67	66.6	1	14	25.94	386	614	0.4951	4,951.01	0.93	10,777	10	0.1143	1,142.62	1,313.36	3,333.33	140.79	1,250	null	null	96.36	1,000	0.01	54.64	-21.6	-1.83	2	-36.9	-22.7	null	null	null	null	null	-0.19	178,978	-0.227	0.05	692,844	0.071	-0.2	96,651	-0.113	0.02	750,429	0.011	0	0	0	0	0	0	0.02	0	0	0.85	1	1	0.14	-849	0.171	0.83	529	0.898	0.3887	0	187	0.07	2	0.742	0.67	stable	0.07	0.47	2	2	5	23	0.732	0.739	null	0.742	0.67	156,567	163,872	null	21	124	stable	0.07	null	33.14

Restaurant Social Ghosts in Nebraska, US

Free sample dataset from BeamStation

The Restaurant Social Ghosts in Nebraska, US dataset spotlights 40 high‑rated eateries that have minimal or no social media presence. Each record represents a restaurant located somewhere in Nebraska with a rating above 4.5 stars but fewer than 100 followers—or lacking any social profiles altogether. Updated weekly, this list is ideal for marketing agencies looking to uncover hidden gems where great food meets limited online visibility. By targeting these establishments, agencies can pitch tailored growth strategies that boost follower counts, drive engagement, and ultimately increase foot traffic. The dataset includes essential fields such as restaurant name, location within Nebraska, current rating, and any existing social media handles or follower counts. Users can quickly filter or sort to prioritize the most promising prospects for outreach campaigns. Whether you are crafting a local influencer plan, designing paid social ads, or consulting on brand development, this weekly refreshed collection provides a focused starting point for turning under‑promoted culinary talent into thriving online brands. Access the full list via the provided URL to begin your next growth‑focused initiative.

Dataset Details

Field	Value
Full dataset	40 records
Sample size	4 records
Location	Nebraska
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-nebraska-us-178278")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 40 records and unmasked contact data is available at:

Restaurant Social Ghosts in Nebraska, US on BeamStation

License

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

Downloads last month: 32

Number of rows:

Total file size:

56.8 kB