Datasets:

beamstation
/

top-50-restaurant-category-dominators-in-maine-us-174988

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	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 string	social_username_youtube string	social_profile_github float64	social_username_github float64	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
5XK8H6K2	Applebee's Grill + Bar	Food and Drink	Restaurants	Restaurant	Restaurant, American restaurant, Bar & grill, Diner, Family restaurant, Hamburger restaurant, Steak house, Traditional American restaurant	599 Center St, Auburn, ME 04210	599 Center St	Auburn	Maine	null	null	4,210	US	true	44.123806	-70.224612	America/New_York	(207) 78-***	2	null	true	true	null	true	Auburn	Maine	US	https	https://restaurants.applebees.com/en-us/me/auburn/599-center-street-83062	restaurants.applebees.com/en-us/me/auburn/599-center-street-83062	restaurants.applebees.com	com	11,219	1995-07-20	2026-07-19	MarkMonitor, Inc.	null	null	0	0	0	Full-service chain bar & grill providing hearty American eats in an informal setting.	true	true	3.96	1,401	{"1": 139, "2": 95, "3": 238, "4": 482, "5": 866}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Serves local specialty, Sports	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Healthy options, Late-night food, Quick bite, Small plates, Vegetarian options, Wine	Breakfast, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2025-08-20	2026-01-23	231	75	24	231	231	75	75	https://www.instagram.com/applebees	applebees	https://www.facebook.com/applebees	applebees	null	null	null	null	null	null	https://www.youtube.com/user/applebeeing	applebeeing	null	null	null	null	null	null	641,043	1.32	null	0.15	1.42	1.32	2,466	null	null	null	null	null	null	null	null	https://applebees.com/en/menu	null	null	2026-04-06T16:07:16.474020+00:00	2,659.93	0.1	0	27,546.44	637.5	716.3121	0.69	79.2	100	72.7	0.437	null	-0.2919	-0.2919	-0.2919	0.2157	0.4791	0.0951	35.4	35.4	null	null	null	36.36	63.64	0	36.36	63.64	0	36.36	63.64	0	stable	stable	null	0	0	0	11	11	11	100	300	-100	68.5	32.8	64	83	48	98	4	354	4	20	6,601	27	11,094	1,028,276	13,634	11,390	4	471,340	23	254,042	647,255	101	623,345	724,537	60	681,355	41	181	469	3,509	8,749	734,279	1,460,619	734,279	0.0898	0.0372	0.1637	-0.0372	-0.4556	0.4016	0.0004	0.1998	-0.0004	-0.4917	0.1762	0.0817	0.2614	-0.0817	-0.5533	59	22	100	471,340	594,373	254,042	0.3624	0.1964	0.659	0.2018	0.2157	39.7	0.32	644	8.2	0.3953	2.6	-0.25	1,136	-7.2	0.0417	647,255	585,961	623,345	0.1434	0.2183	0.1777	0.2558	0.4791	40.6	0.44	462	8.4	0.5574	1.7	-0.37	1,318	-7.4	-0.1204	724,537	624,936	681,355	0.035	Average	0.1597	0.0929	0.3715	0.0951	Emerging	35.4	0.41	336	10.9	Emerging	0.4369	6.9	-0.34	1,444	-9.9	0.0001	23	101	60	522	134	competitive	0.1116	7	36.4	63.6	0	3,017	1,028	competitive	0.0371	1.27	47	51	2	6,558	5,037	competitive	0.0824	0.19	61	35.6	3.4	0.061	0.3638	-0.061	-0.6557	100	101	102	138	7	0.5324	0.3333	0.9722	0.4074	0.338	46.3	0.49	654	8.5	0.5946	-4	-0.42	1,126	-7.5	-0.1576	competitive	0.0265	0.59	17	78	5	0.6046	0.71	19.24	0.2345	0.5195	-0.2345	-0.8114	100	101	1,646	1,600	200	0.6029	0.601	0.9523	0.5792	0.3089	52	0.65	1,749	10.1	0.7608	-9.7	-0.58	31	-9.1	-0.3238	competitive	0.0101	0.0011	1.31	0.38	0.7072	0.059	0.2307	-0.059	-0.5226	791,801	41.1	0.94	531	20.4	0.4595	1.2	-0.87	1,249	-0.0225	0.5334	0.2364	0.9362	0.2211	0.414	367,026	0.5651	-19.4	580,639	50,464	44.5	8.8	46.7	791,802	161	52.1	4.18	388	12.2	0.5148	3.2	-0.72	1,013	-0.0747	0.4688	0.1063	0.9813	0.3938	0.3438	86	64.19	13.92	0.45	161	41.56	241	141	2.7188	27,187.56	0.73	13,624	15	0.1284	1,284.07	124.57	434.78	13.78	99.01	67.94	166.67	7.02	99.01	1.01	99.01	-30.8	-3.88	383	-71.7	-37.3	null	null	null	null	null	-0.14	132,276	-0.17	0.4	471,338	0.362	-0.13	86,393	-0.103	0.18	647,252	0.143	0.02	18,802	-0.012	0.09	724,533	0.035	-0.02	30	-0.136	0.6	102	0.532	0.08	358	-0.083	0.71	1,646	0.603	0.437	null	null	1,401	0.07	2	0.742	0.748	decelerating	0.07	0.47	2	2	13	106	0.732	0.739	0.74	0.742	0.748	156,567	163,872	163,540	21	122	decelerating	-0.16	null	77.38
F63XWQMK	Yosaku	Food and Drink	Restaurants	Japanese restaurant	Japanese restaurant, Asian restaurant, Sushi restaurant	1 Danforth St, Portland, ME 04101	1 Danforth St	Portland	Maine	Downtown	Downtown	4,101	US	true	43.654386	-70.257419	America/New_York	(207) 78-***	2	OPERATIONAL	true	true	null	true	Portland	Maine	US	http	http://yosakumaine.com	yosakumaine.com	yosakumaine.com	com	3,681	2016-03-09	2027-03-09	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	Japanese eatery & lounge with a tranquil vibe is known for its sushi rolls & lunchtime bento box.	true	true	4.53	1,393	{"1": 53, "2": 47, "3": 70, "4": 239, "5": 1215}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great tea selection	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Comfort food, Hard liquor, Healthy options, Small plates, Vegan options, Vegetarian options, Wine	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy	College students, Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	2	2025-02-08	2025-11-18	424	141	12	424	424	141	141	https://www.instagram.com/yosakumaine	yosakumaine	https://www.facebook.com/p/yosaku-restaurant-100063619941746	yosaku-restaurant-100063619941746	null	null	null	null	null	null	null	null	null	null	null	null	null	null	5,039	19.06	null	null	15.72	22.85	145	null	null	null	null	null	null	null	null	https://yosakumaine.com	https://resy.com/cities/portland-me/venues/yosaku	https://resy.com/cities/portland-me/venues/yosaku	2026-04-06T04:19:08.676456+00:00	7.37	0.14	0.7	23,833.06	362.1	265.7895	2	90.6	100	89	0.7665	null	0.8995	0.8995	0.9107	0.9703	0.8744	0.3869	95	95.5	null	null	null	100	0	0	100	0	0	100	0	0	stable	stable	null	-0.5	-0.0112	-0.5	8	8	9	100	255.6	-100	81.3	27.4	68	100	93.6	98	3	522	4	21	3,706	28	11,242	476,096	13,828	11,549	3	59,187	101	57,531	428,453	101	601,048	515,862	101	513,720	8	445	1,059	3,509	8,749	734,279	1,460,619	734,279	0.2293	0.1549	0.25	-0.1549	0.6495	0.7226	0.359	0.5449	-0.359	0.3546	0.2672	0.2232	0.3657	-0.2232	0.5338	100	100	100	59,187	545,171	57,531	0.918	0.262	0.9228	0.1555	0.9703	49.7	0.4	1,149	7.1	0.7303	0.7	-0.33	470	-5.9	0.0362	428,453	667,070	601,048	0.4283	0.1124	0.2071	0.1473	0.8744	46.2	0.32	499	6.5	0.6957	4.2	-0.25	1,120	-5.3	0.0708	515,862	721,871	513,720	0.3088	Strong	0.0368	0.316	0.0334	0.3869	Below Average	46.8	0.21	795	4	Below Average	0.5814	3.6	-0.14	824	-2.8	0.1851	101	101	101	526	48	competitive	0.0139	31.83	4	93	3	2,357	1,014	competitive	0.0314	1.27	18	80	2	7,276	5,032	competitive	0.0199	0.32	17	81	2	0.3173	0.5591	-0.3173	0.3404	100	101	123	378	44	0.7632	0.2519	0.9192	0.3722	0.688	49.9	0.35	1,369	5.2	0.7409	0.5	-0.28	250	-4	0.0256	competitive	0.0117	0.56	5	90	5	0.6566	2.02	7.29	0.2445	0.5194	-0.2445	0.3801	100	101	598	1,600	269	0.855	0.601	0.9358	0.5988	0.7376	52.1	0.65	1,749	10.1	0.7602	-1.7	-0.58	-130	-8.9	0.0063	competitive	0.0092	0.0011	1.31	0.38	0.803	0.059	0.2307	-0.059	0.6688	791,801	41.1	0.94	531	20.4	0.4595	9.3	-0.87	1,088	0.307	0.7681	0.2364	0.9242	0.2541	0.8315	181,666	0.6554	-19.2	580,639	59,946	44.5	8.8	46.7	791,802	429	54.5	4.38	332	14.8	0.5421	15.8	0.22	1,061	0.2164	0.9065	0.4416	0.9953	0.4065	0.7336	40	58.44	30.56	0.7033	429	14.62	684	380	2.0018	20,017.69	0.73	13,624	15	0.1283	1,283.49	1.93	99.01	9.88	99.01	3.98	99.01	1.37	99.01	0.84	99.01	-34.9	-4.46	227	-87.8	-40.4	null	null	null	null	null	-0.22	40,688	-0.056	0.72	59,186	0.918	-0.31	151,972	-0.196	0.27	428,452	0.428	-0.08	31,363	-0.034	0.23	515,861	0.309	-0.18	102	-0.199	0.66	123	0.763	-0.07	563	-0.136	0.8	598	0.855	0.7665	null	null	1,393	0.03	1	0.537	0.5	decelerating	0.03	0.23	1	1	8	113	0.507	0.515	0.517	0.537	0.5	253,363	266,224	265,236	19	8	decelerating	-0.14	null	90.29
UH5FA76Z	El Agave's Mexican Restaurant	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Bar, Restaurant	58 Stephen King Dr, Augusta, ME 04330	58 Stephen King Dr	Augusta	Maine	null	null	4,330	US	true	44.348631	-69.787582	America/New_York	(207) 62-***	2	OPERATIONAL	true	true	null	true	Augusta	Maine	US	https	https://elagavesaugusta.com	elagavesaugusta.com	elagavesaugusta.com	com	1,765	2021-06-07	2026-06-07	Squarespace Domains LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.15	1,214	{"1": 126, "2": 52, "3": 81, "4": 208, "5": 775}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Quick bite, Small plates, Vegetarian options, Wine	Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/p/el-agaves-mexican-restaurant-100064472395331	el-agaves-mexican-restaurant-100064472395331	null	null	null	null	null	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://elagavesaugusta.com/menu	null	null	2026-04-05T08:19:23.575759+00:00	0	0.17	3.1	34,504.47	2,351	865.0794	0.51	83	100	78.6	0.567	null	0.736	0.7515	0.7653	0.1108	0.143	0.2594	86.8	88.3	null	null	null	87.5	12.5	0	88.24	11.76	0	88.89	11.11	0	stable	stable	null	-1.5	-0.0293	-1.7	16	17	18	88.2	255.6	-100	70.5	36.8	8	83	84.8	96	4	189	4	29	5,939	39	17,756	885,114	22,291	18,731	4	236,449	18	70,660	655,076	67	553,843	667,498	32	702,678	36	112	319	3,509	8,749	734,279	1,460,619	734,279	0.1744	0.1126	0.3662	-0.1126	0.3698	0.7139	0.0137	0.195	-0.0137	0.541	0.2081	0.0335	0.1785	-0.0335	0.5575	31	17	66	236,449	316,382	70,660	0.6772	0.5717	0.9052	0.4964	0.1108	44.2	0.86	1,078	15.3	0.3396	-1.3	-0.76	164	-13.4	0.2274	655,076	564,598	553,843	0.1334	0.2465	0.2692	0.3965	0.143	40.3	0.47	574	11.4	0.4467	2.6	-0.37	668	-9.5	0.1203	667,498	466,905	702,678	0.1097	Strong	0.3705	0.0647	0.5004	0.2594	Below Average	40.4	0.66	263	14.2	Emerging	0.5328	2.5	-0.56	979	-12.3	0.0342	18	67	32	500	3	competitive	0.0635	5.41	29.4	58.8	11.8	3,629	1,101	competitive	0.0318	0.84	50	42.4	7.6	6,548	5,095	competitive	0.1321	0.1	58.1	32.3	9.7	0.0419	0.2208	-0.0419	0.5152	108	109	53	60	24	0.6	0.4846	0.8231	0.5462	0.5615	41.4	0.53	604	10.5	0.5085	1.5	-0.43	638	-8.6	0.0585	competitive	0.0187	0.72	50	41.7	8.3	0.6323	0.52	23.66	0.2611	0.5711	-0.2611	0.1649	185	186	1,898	2,983	205	0.5423	0.2595	0.9511	0.3022	0.4548	54.3	0.89	1,224	15.1	0.7452	-11.4	-0.79	18	-13.2	-0.1782	competitive	0.0055	0.002	0.71	0.74	0.5801	0.059	0.2307	-0.059	0.5053	791,801	41.1	0.94	531	20.4	0.4595	1.8	-0.84	711	0.1075	0.5519	0.326	0.8831	0.3674	0.5526	352,405	0.5835	-18.5	512,321	92,466	44.5	8.8	46.7	791,802	102	52.8	4.14	437	12.3	0.4616	12.4	0.32	777	0.1017	0.7624	0.4653	0.9703	0.5347	0.5743	25	61.62	18.21	0.5347	102	57.15	175	126	3.4504	34,504.47	1.36	7,364	15	0.1663	1,662.79	40.27	555.56	10.08	149.25	174.61	312.5	3.49	91.74	0.3	53.76	-27	-4.05	36	-76.5	-18.3	null	null	null	null	null	-0.01	73,799	-0.097	0.71	236,448	0.677	0.1	-23,460	0.042	0.21	655,074	0.133	0.05	7,064	0.002	0.17	667,496	0.11	0	-8	0.072	0.63	53	0.6	-0.03	194	-0.045	0.58	1,898	0.542	0.567	null	null	1,214	0.13	4	0	0.662	decelerating	0.13	0.93	4	4	16	181	0.889	0.893	0.893	0	0.662	73,239	76,413	76,398	3	19	decelerating	-0.17	null	79.98
7JWVYZSH	McDonald's	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich shop	435 Kennedy Memorial Dr, Waterville, ME 04901	435 Kennedy Memorial Dr	Waterville	Maine	null	null	4,901	US	true	44.545347	-69.675939	America/New_York	(207) 87-***	1	OPERATIONAL	true	true	null	true	Waterville	Maine	US	https	https://mcdonalds.com/us/en-us/location/me/waterville/435-kennedy-memorial-dr/24486.html	mcdonalds.com/us/en-us/location/me/waterville/435-kennedy-memorial-dr/24486.html	mcdonalds.com	com	11,592	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dataset@gmail.com, purchase_dataset@us.mcd.com, purchase_dataset@gmail.com, purchase_dataset@gov.mcdonalds.com, purchase_dataset@us.mcd.com, purchase_dataset@us.mcd.com, purchase_dataset@us.mcd.com, purchase_dataset@mcdonalds.com.sa, purchase_dataset@u...	realdomain	35	30	5	Classic, long-running fast-food chain known for its burgers & fries.	true	true	3.57	1,181	{"1": 216, "2": 132, "3": 367, "4": 396, "5": 593}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert	Wi-Fi	Casual	Groups	null	Debit cards, NFC mobile payments	Good for kids birthday, Has changing table(s), Kids' menu	true	true	purchase_dataset@	true	true	5	2025-09-02	2026-03-04	218	35	101	218	218	35	35	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	null	null	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,513,935	0.37	null	0.22	0.37	0.37	493	5,300,000	347	37,200,000	4.88	null	2.18	2.32	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-05T07:18:47.619271+00:00	34,898.32	0.02	0	28,241.64	914.4	231.6514	0.38	71.4	100	58.2	0.176	null	-0.621	-0.621	-0.621	0.163	0.2666	0.3169	18.9	18.9	null	null	null	20	80	0	20	80	0	20	80	0	stable	stable	null	0	0	0	5	5	5	100	300	-100	66.2	27.4	92	100	33.7	96	3	334	3	35	7,307	48	21,626	1,188,718	27,124	23,013	3	564,138	15	472,203	696,309	79	659,668	717,917	22	713,991	48	168	403	3,509	8,749	734,279	1,460,619	734,279	0.1435	0.2046	0.1754	-0.2046	-0.7964	0.2107	0.1356	0.2452	-0.1356	-0.8662	0.1253	0.1593	0.255	-0.1593	-0.876	21	14	78	564,138	732,444	472,203	0.2398	0.016	0.3667	0.0662	0.163	37.7	0.04	408	4.2	0.3714	6.2	0.08	1,296	-2.9	-0.1954	696,309	614,753	659,668	0.08	0.1812	0.13	0.3889	0.2666	38.4	0.4	398	11.2	0.4952	5.5	-0.28	1,306	-9.9	-0.3192	717,917	466,905	713,991	0.0437	Below Average	0.3705	0.0497	0.4466	0.3169	Emerging	36.3	0.66	217	12.7	Emerging	0.5559	7.6	-0.54	1,487	-11.4	-0.3799	15	79	22	406	2	competitive	0.2297	4.46	57.1	42.9	0	3,558	1,319	competitive	0.052	0.99	52.6	46.2	1.3	7,685	5,061	competitive	0.2719	0.07	66.7	28.6	4.8	0.161	0.2972	-0.161	-0.9182	138	139	40	59	4	0.7914	0.6684	0.984	0.3743	0.1658	40	0.28	418	6.8	0.5841	3.9	-0.16	1,286	-5.5	-0.4081	competitive	0.0287	3.8	50.7	47.1	2.2	0.8123	0.34	34.87	0.2525	0.5708	-0.2525	-1.1918	186	187	1,733	2,748	100	0.5821	0.3259	0.9763	0.2363	0.156	54.1	0.88	1,225	15	0.7465	-10.2	-0.76	479	-13.7	-0.5705	competitive	0.0074	0.002	0.71	0.74	0.6235	0.059	0.2307	-0.059	-0.8517	791,801	41.1	0.94	531	20.4	0.4595	2.8	-0.82	1,173	-0.2835	0.5828	0.3775	0.9308	0.2707	0.2215	327,932	0.6256	-19.1	476,774	54,725	44.5	8.8	46.7	791,802	154	51.6	4.37	306	9.1	0.5391	10.4	-0.69	875	-0.3543	0.7386	0.0719	0.9869	0.5425	0.1373	41	65.44	3.36	0.3399	154	87.19	115	436	3.6421	36,420.9	1.37	7,325	15	0.1673	1,672.59	527.53	666.67	27.09	126.58	739.3	454.55	8.24	71.94	0.55	53.48	-27.4	-3.45	528	-56.9	-24.8	null	null	null	null	null	-0.09	106,466	-0.133	0.21	564,138	0.24	0.02	30,935	-0.029	0.13	696,309	0.08	0.01	6,112	0.005	0.14	717,917	0.044	0.23	-28	0.152	0.81	40	0.791	0.05	182	-0.042	0.62	1,733	0.582	0.176	null	null	1,181	0.03	1	0.286	0.301	decelerating	0.03	0.23	1	1	5	81	0.507	0.515	0.517	0.286	0.301	253,363	266,224	265,236	7	57	decelerating	0	null	68.22
ZEU2MNQP	Wendy's	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant, Hamburger restaurant, Restaurant	329 Main St, Waterville, ME 04901	329 Main St	Waterville	Maine	null	null	4,901	US	true	44.565206	-69.636663	America/New_York	(207) 87-***	2	OPERATIONAL	true	true	null	true	Waterville	Maine	US	https	https://locations.wendys.com/united-states/me/waterville/329-main-street	locations.wendys.com/united-states/me/waterville/329-main-street	locations.wendys.com	com	11,085	1995-12-01	2026-11-30	MarkMonitor Inc.	null	null	0	0	0	Fast-food burger chain serving sides such as chili & baked potatoes.	true	true	3.85	1,173	{"1": 141, "2": 83, "3": 223, "4": 374, "5": 649}	Delivery, Drive-through, Onsite services, Takeout, Dine-in	null	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/wendys	wendys	https://twitter.com/wendys	wendys	null	null	https://www.linkedin.com/company/wendys-international	wendys-international	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://menu.wendys.com/en_us/categories	null	null	2026-04-05T07:18:22.309091+00:00	0	0.02	2.4	26,828.41	1,525.1	231.6514	0.38	77	100	68.8	0.3843	null	-0.7821	-0.7821	-0.7821	0.1442	0.3036	0.4273	10.9	10.9	null	null	null	0	80	20	0	80	20	0	80	20	stable	stable	null	0	0	0	5	5	5	100	300	-100	62.3	42.8	24	83	31.2	96	4	304	4	37	6,828	51	23,014	1,084,495	28,834	24,543	4	525,663	20	194,973	707,985	82	699,852	718,745	12	714,219	43	168	403	3,509	8,749	734,279	1,460,619	734,279	0.0379	0.1818	0.4131	-0.1818	-1.1952	0.3594	0.2544	0.2947	-0.2544	-1.0768	0.1146	0.1579	0.2224	-0.1579	-1.0045	11	19	81	525,663	689,325	194,973	0.2905	0.0725	0.7383	0.1635	0.1442	38.6	0.14	731	7.3	0.3612	-1.4	-0.06	739	-6.1	0.0231	707,985	585,961	699,852	0.0649	0.2183	0.0772	0.3928	0.3036	37.7	0.44	315	11.3	0.5067	-0.5	-0.36	1,155	-10.1	-0.1224	718,745	735,356	714,219	0.0426	Below Average	0.0202	0.0493	0.0124	0.4273	Emerging	36.2	0.11	216	2.2	Emerging	0.5956	1	-0.03	1,254	-1	-0.2113	20	82	12	653	154	competitive	0.0958	6.05	47.4	52.6	0	2,714	1,059	competitive	0.0545	1.03	55.6	43.2	1.2	6,594	5,024	moderate	0.3824	0.04	72.7	27.3	0	0.161	0.2984	-0.161	-1.0805	138	139	93	74	9	0.4973	0.5722	0.9519	0.3476	0.2727	40	0.28	419	6.8	0.5825	-2.8	-0.2	1,051	-5.6	-0.1982	competitive	0.0248	3.8	50	47.8	2.2	0.6561	0.34	34.87	0.258	0.5712	-0.258	-1.3533	186	187	2,667	3,092	156	0.3571	0.2346	0.9626	0.2102	0.2753	54.2	0.88	1,218	15.1	0.7487	-17	-0.8	252	-13.9	-0.3644	competitive	0.0064	0.002	0.71	0.74	0.502	0.059	0.2307	-0.059	-1.0128	791,801	41.1	0.94	531	20.4	0.4595	-3.9	-0.86	939	-0.0752	0.3912	0.2667	0.9105	0.2541	0.3657	479,904	0.5096	-19.2	556,571	70,777	44.5	8.8	46.7	791,802	17	53.3	4.08	373	6.1	0.3843	3.2	-0.41	800	0.0092	0.5625	0.1875	1	0.6875	0.625	7	65.2	13.51	0.6875	17	87.19	115	436	3.6569	36,568.74	1.37	7,325	15	0.1663	1,663.15	91.69	500	29.73	121.95	1,462.41	833.33	6.13	71.94	0.42	53.48	-27.4	-3.77	303	-67.5	-7.7	null	null	null	null	null	0.05	-24,525	0.041	0.36	525,663	0.291	0	34,131	-0.033	0.11	707,985	0.065	-0.04	39,340	-0.04	0.04	718,745	0.043	0.14	-18	0.1	0.66	93	0.497	-0.01	240	-0.056	0.5	2,667	0.357	0.3843	null	null	1,173	0.07	2	0.643	0.647	stable	0.07	0.47	2	2	5	98	0.732	0.739	0.74	0.643	0.647	156,567	163,872	163,540	5	38	stable	0.04	null	78.48

Top 50 Restaurant Category Dominators in Maine, US

Free sample dataset from BeamStation

--Defensible Leaders-- Top 50 ranked high-volume restaurants.

Each venue with massive review volume. The safest bets.

Uses State Rank to find the absolute biggest players.

This dataset lists the fifty restaurants in Maine that dominate their categories by review volume, updated weekly to reflect the latest consumer feedback. It is ideal for market analysts, restaurant investors, and location‑based service providers who need a reliable snapshot of the state’s most visited dining establishments. By focusing on review count as a proxy for popularity, the list highlights venues that consistently attract large numbers of diners, offering a defensible view of market leadership. Users can leverage this information for competitive analysis, site selection, or partnership outreach. Access the full list at https://beamstation.com/datasets/174988/.

Dataset Details

Field	Value
Full dataset	50 records
Sample size	5 records
Location	Maine
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/top-50-restaurant-category-dominators-in-maine-us-174988")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 50 records and unmasked contact data is available at:

Top 50 Restaurant Category Dominators in Maine, US on BeamStation

License

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

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