Datasets:

beamstation
/

top-30-active-restaurant-review-whales-in-hawaii-us-118291

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	census_place string	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	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_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube 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	first_social_post_days_min null	first_social_post_days_max null	last_social_post_days_min null	last_social_post_days_max null	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m null	tiktok_engagement_rate_3m null	tiktok_engagement_rate_6m null	tiktok_engagement_rate_12m null	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	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_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_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall 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_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 null	beam_trends_sentiment_recommend_pct float64
N32FTHD2	Himalayan Kitchen	Food and Drink	Restaurants	Indian restaurant	"Indian restaurant, Halal restaurant, Momo restaurant, Nepalese restaurant, North Eastern Indian res(...TRUNCATED)	1137 11th Ave, Honolulu, HI 96816	1137 11th Ave	Honolulu	Hawaii	Kaimuki	Kaimuki	96,816	US	true	21.282636	-157.800213	Pacific/Honolulu	(808) 73-***	2	Urban Honolulu	true	Honolulu	Hawaii	US	http	http://himalayankitchenhawaii.com	himalayankitchenhawaii.com	himalayankitchenhawaii.com	com	3,088	2017-10-16	2026-10-16	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	Homey Indian/Nepalese spot with a patio offering curries, tandoori breads & other classic fare.	3.85	677	{"1": 112, "2": 41, "3": 44, "4": 125, "5": 394}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Rooftop seating	Lunch, Dinner, Solo dining	Wheelchair accessible parking lot, Wheelchair accessible restroom	"Braille menu, Coffee, Comfort food, Happy hour drinks, Happy hour food, Healthy options, Late-night(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Quiet	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Dinner reservations recommended, Accepts reservations	Checks, Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	3	https://www.instagram.com/himalayankitchenhawaii	himalayankitchenhawaii	https://www.facebook.com/p/himalayan-kitchen-100060829942285	himalayan-kitchen-100060829942285	https://twitter.com/byob_hawaii	byob_hawaii	null	null	null	null	null	null	null	null	null	null	null	null	3,580	2.64	null	0.49	0.56	0.55	287	null	null	null	null	null	null	null	null	null	null	null	null	https://himalayankitchenhawaii.com/menu	https://mymozo.com/myrestaurant/default?companyid=848	https://mymozo.com/myrestaurant/default?companyid=848	2026-03-31T05:10:49.304156+00:00	1.03	9.91	0.2	3,963.55	76.8	66.273	0.99	77	94.4	70.9	0.4013	1	0.4784	0.5089	0.3592	0.803	0.7314	0.5783	73.9	68	100	0	75	25	0	77.78	22.22	0	68	30	2	improving	improving	0.5216	5.9	0.1192	8.7	3	12	27	50	75.3	73.3	64	83	74	60	356	4,257	602	662	7,166	1,097	173,296	1,085,391	246,946	186,175	356	286,708	76	583,442	132,149	101	49,049	333,563	101	517,053	451	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.5117	0.3338	0.5372	0.6662	-0.0588	0.5399	0.2491	0.4471	0.7509	0.0313	0.8476	0.2311	0.5611	0.7689	-0.0827	100	75	100	286,708	150,364	583,442	0.6039	0.7872	0.2074	0.8186	0.803	66.3	4.29	271	83.5	0.5854	9.7	-0.44	406	-12.6	-0.1864	132,149	137,691	49,049	0.8178	0.8008	0.9342	0.8059	0.7314	78.2	4.42	1,290	85.5	0.6365	-2.2	-0.57	-613	-14.6	-0.2375	333,563	220,861	517,053	0.5418	Average	0.681	0.3021	0.6976	0.5783	Market Leader	77.4	4.43	649	86	Average	0.6484	-1.4	-0.58	28	-15.1	-0.2494	76	101	101	238	10	competitive	0.0322	23.87	5.3	17.3	66.7	10.7	2,945	1,426	competitive	0.0052	1.27	0	67	33	7,193	5,010	competitive	0.0103	0.32	1	63	36	0.315	0.6133	0.685	-0.1349	100	101	590	2,793	553	0.8216	0.1637	0.8345	0.2426	0.3361	80.2	4.5	1,337	87.8	0.6792	-4.2	-0.65	-660	-16.9	-0.2802	competitive	0.005	0.44	45	55	0.6281	0.99	2.32	0.2175	0.6705	0.7825	-0.1921	100	101	925	4,325	786	0.8171	0.1575	0.8468	0.2317	0.3307	81.7	4.57	1,364	89.6	0.7272	-5.7	-0.72	-687	-18.7	-0.3282	competitive	0.0049	0.0035	1	0.56	0.6281	0.2094	0.3682	0.7906	0.1102	828,388	62.9	3.88	394	76.6	0.4737	13.1	-0.03	283	-0.0747	0.8159	0.2058	0.7612	0.302	0.3603	149,995	0.6165	-5.7	654,987	197,522	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	13.6	-0.42	395	-0.1005	0.8303	0.131	0.8606	0.2126	0.3091	404	58.58	15.77	0.4904	2,405	2.89	3,463	1,524	0.3862	3,861.6	0.69	14,553	51	0.0937	936.96	10.39	131.58	0.27	99.01	1.07	99.01	0.25	99.01	0.24	99.01	-3.3	0.03	20	0.9	-2.3	null	null	null	null	null	0.02	-34,614	0.047	0.54	286,707	0.604	-0.04	66,296	-0.091	0.85	132,146	0.818	0.04	-63,673	0.084	0.51	333,559	0.542	-0.12	-192,921	0.063	0.63	590	0.822	0.49	-735,748	0.722	0.63	925	0.817	0.399	100	0	677	0.77	23	1	1	accelerating	0.77	5.37	23	23	39	71	0.971	0.972	0.972	1	1	25,602	26,553	26,546	1	1	accelerating	0.4	null	74.35
AV5BM4AN	Koa Pancake House	Food and Drink	Restaurants	Breakfast restaurant	Breakfast restaurant, Pancake restaurant	930 Valkenburgh St #101, Honolulu, HI 96818	930 Valkenburgh St #101	Honolulu	Hawaii	Naval Station Pearl Harbor	Airport	96,818	US	true	21.344101	-157.928757	Pacific/Honolulu	(808) 42-***	2	Urban Honolulu	true	Honolulu	Hawaii	US	http	http://koapancakehouse.com/menu	koapancakehouse.com/menu	koapancakehouse.com	com	6,147	2009-06-01	2026-06-01	Domain.com - Network Solutions, LLC	purchase_dataset@koapancakehouse.com	realdomain	1	1	0	Part of a small, casual chain offering counter-serve American breakfast & lunch dishes.	4.47	1,027	{"1": 30, "2": 28, "3": 71, "4": 242, "5": 712}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Great coffee, Serves local specialty	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Quick bite	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom	Casual, Cozy	College students, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/koapancakehouse	koapancakehouse	https://www.facebook.com/koapancake	koapancake	https://twitter.com/koapancakehouse	koapancakehouse	https://www.tiktok.com/@koapancakehouse._	koapancakehouse._	https://www.linkedin.com/in/cocomi-mehring-6502b7383	cocomi-mehring-6502b7383	null	null	null	null	null	null	null	null	6,392	176.04	null	null	0.97	176.04	477	null	null	null	null	28	0	0	null	null	null	null	null	null	null	null	2026-03-29T20:46:06.232921+00:00	1.85	6.49	0	10,623.21	45.8	66.273	0.98	89.4	100	88.6	0.7401	0.75	0.6695	0.7511	0.7672	0.0622	0.5515	0.6118	83.5	88.4	100	0	84.85	12.12	3.03	90.48	7.94	1.59	89.74	8.33	1.92	improving	declining	0.0805	-4.9	-0.0977	-5.5	2	33	63	156	82.8	55.5	92	83	86.2	58	193	2,121	319	357	3,866	572	87,689	550,193	118,163	95,276	193	619,813	32	641,876	386,490	101	557,078	320,563	101	489,731	158	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.5093	0.2946	0.5412	0.4054	0.1472	0.1757	0.1828	0.1444	0.5172	0.544	0.44	0.2858	0.5227	0.4142	0.1657	100	31	100	619,813	547,558	641,876	0.1562	0.2488	0.1285	0.0786	0.0622	59	3.77	216	67.2	0.299	24.6	0.7	811	21.4	0.4411	386,490	303,644	557,078	0.4781	0.5747	0.2545	0.5995	0.5515	73	4.29	477	82.2	0.5874	10.6	0.18	550	6.4	0.1527	320,563	269,729	489,731	0.5591	Emerging	0.6134	0.3388	0.6409	0.6118	Average	77.6	4.4	703	85.3	Average	0.6564	6	0.07	324	3.3	0.0837	32	101	101	358	12	competitive	0.1327	9.87	3.2	45.2	51.6	0	3,576	1,420	competitive	0.0211	1.27	2	85	13	7,810	5,058	competitive	0.0144	0.32	1	60	39	0.298	0.6149	0.402	0.0735	100	101	96	1,344	323	0.9716	0.5877	0.9029	0.6791	0.7849	80.1	4.49	1,333	87.7	0.6771	3.5	-0.02	-306	0.9	0.063	competitive	0.0076	0.44	47	53	0.8358	0.99	2.31	0.2105	0.6687	0.4895	0.0197	100	101	73	2,124	429	0.9856	0.5747	0.916	0.6637	0.7704	81.6	4.56	1,366	89.5	0.7252	2	-0.09	-339	-0.9	0.0149	competitive	0.0075	0.0035	1	0.56	0.8414	0.2094	0.3682	0.4906	0.3202	828,388	62.9	3.88	394	76.6	0.4737	20.7	0.59	633	0.2664	0.9807	0.605	0.8776	0.7292	0.7832	15,200	0.837	12	320,135	100,811	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	21.2	0.2	745	0.2406	0.9871	0.5774	0.9181	0.6814	0.7862	31	58.58	34.01	0.9097	2,405	2.89	3,463	1,524	0.3848	3,848.43	0.69	14,553	51	0.0939	938.86	176.15	312.5	4.44	99.01	2.08	99.01	0.58	99.01	0.56	99.01	-3	0	4	-0.1	-33.7	null	null	null	null	null	-0.01	17,415	-0.022	0.18	619,812	0.156	0.02	-54,666	0.072	0.44	386,489	0.478	0.04	-60,683	0.08	0.51	320,561	0.559	0.08	-193,415	0.213	0.84	96	0.972	0.7	-736,600	0.891	0.84	73	0.986	0.7401	100	0	1,027	0.5	15	0.806	0.825	stable	0.5	3.5	15	15	48	169	0.944	0.946	0.946	0.806	0.825	47,774	49,638	49,640	8	11	stable	-0.37	null	92.59
CT48SNQS	Assaggio	Food and Drink	Restaurants	Italian restaurant	Italian restaurant	1450 Ala Moana Blvd Suite 1259, Honolulu, HI 96814	1450 Ala Moana Blvd Suite 1259	Honolulu	Hawaii	Ala Moana	Ala Moana-Kakaako	96,814	US	true	21.290064	-157.84202	Pacific/Honolulu	(808) 94-***	2	Urban Honolulu	true	Honolulu	Hawaii	US	http	http://assaggiohawaii.com	assaggiohawaii.com	assaggiohawaii.com	com	4,857	2012-12-12	2026-12-12	GoDaddy.com, LLC	null	null	0	0	0	Cozy chain eatery for romantic dining offering Italian-American classics & a full bar.	4.12	665	{"1": 51, "2": 24, "3": 70, "4": 175, "5": 358}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great dessert, Great wine list	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Private dining room, Small plates, Veg(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Romantic, Trendy, Upscale	Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	3	https://www.instagram.com/assaggiohonolulu	assaggiohonolulu	https://www.facebook.com/p/assaggio-italian-restaurant-100066745489120	assaggio-italian-restaurant-100066745489120	null	null	null	null	https://www.linkedin.com/company/assaggio	assaggio	null	null	null	null	null	null	null	null	247	2.01	null	1.1	1.58	1.58	521	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/assaggio-5/menu	null	null	2026-03-27T21:29:56.960354+00:00	0.07	3.02	0.7	3,922.63	76.8	66.273	0.99	82.4	94.1	78.5	0.5803	1	0.1	0.6664	0.6101	0.7383	0.7899	0.2801	55	80.5	100	0	60	40	0	82.35	11.76	5.88	76.6	17.02	6.38	improving	declining	0.9	-25.5	-0.5101	-31.7	1	5	17	47	75.2	65.5	64	67	63.9	100	362	3,603	611	673	6,194	1,115	176,773	911,194	252,440	189,844	362	60,869	101	123,968	84,982	101	46,452	532,155	101	615,476	364	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.2773	0.2225	0.4684	0.7775	-0.1113	0.8516	0.1783	0.4329	0.8217	-0.0758	0.8909	0.2398	0.6009	0.7602	-0.2438	100	100	100	60,869	150,364	123,968	0.9155	0.7872	0.8308	0.753	0.7383	72.9	4.29	618	82.1	0.5594	2.2	-0.17	47	-3.6	0.0209	84,982	96,562	46,452	0.8808	0.8575	0.9377	0.8611	0.7899	79.3	4.46	1,307	86.6	0.6547	-4.2	-0.34	-642	-8.1	-0.0744	532,155	446,538	615,476	0.2799	Market Leader	0.3817	0.1694	0.4033	0.2801	Market Leader	72.2	4.28	429	82	Below Average	0.5586	2.9	-0.16	236	-3.5	0.0217	101	101	101	608	28	competitive	0.0107	31.83	0	5	85	10	2,428	1,064	competitive	0.0051	1.27	0	55	45	6,765	5,046	competitive	0.0153	0.32	2	86	12	0.305	0.6154	0.695	-0.2583	100	101	661	2,353	561	0.8004	0.2919	0.8327	0.3744	0.5524	80.2	4.5	1,332	87.8	0.679	-5.1	-0.38	-667	-9.3	-0.0987	competitive	0.005	0.44	46	54	0.6575	0.99	2.32	0.2275	0.674	0.7725	-0.3169	100	101	1,054	3,676	805	0.7924	0.2797	0.8433	0.3637	0.5307	81.7	4.57	1,365	89.5	0.7288	-6.6	-0.45	-700	-11	-0.1485	competitive	0.0048	0.0035	1	0.56	0.6539	0.2094	0.3682	0.7906	-0.0111	828,388	62.9	3.88	394	76.6	0.4737	12.2	0.24	271	0.1066	0.7894	0.3362	0.7563	0.438	0.5554	171,986	0.6435	1.9	545,439	201,545	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	12.7	-0.15	383	0.0808	0.8049	0.2612	0.859	0.3469	0.5358	464	58.58	26.2	0.6772	2,405	2.89	3,463	1,524	0.3845	3,845.34	0.69	14,553	51	0.0938	937.66	1.14	99.01	0.26	99.01	2.33	99.01	0.25	99.01	0.24	99.01	-1.8	0	5	0	-10.2	null	null	null	null	null	-0.02	25,880	-0.036	0.85	60,866	0.916	-0.02	25,993	-0.037	0.89	84,975	0.881	0.01	-14,625	0.021	0.28	532,146	0.28	-0.09	-192,850	0.041	0.66	661	0.8	0.51	-735,619	0.697	0.65	1,054	0.792	0.5803	100	0	665	0.23	7	0.783	0.686	accelerating	0.23	1.63	7	7	14	57	0.816	0.822	0.822	0.783	0.686	142,983	148,636	148,433	11	20	accelerating	0.16	null	84.78
6P4K8PH7	Golden Duck Restaurant	Food and Drink	Restaurants	Cantonese restaurant	Cantonese restaurant	1221 S King St, Honolulu, HI 96814	1221 S King St	Honolulu	Hawaii	Ala Moana	Makiki-Lower Punchbowl-Tantalus	96,814	US	true	21.299493	-157.843609	Pacific/Honolulu	(808) 59-***	2	Urban Honolulu	true	Honolulu	Hawaii	US	https	https://goldenduckhonolulu.com	goldenduckhonolulu.com	goldenduckhonolulu.com	com	49	2026-02-10	2027-02-10	NAMECHEAP INC	null	null	0	0	0	Cheery & casual corner restaurant featuring a lengthy menu of Chinese favorites.	4.15	590	{"1": 43, "2": 18, "3": 54, "4": 160, "5": 313}	No-contact delivery, Delivery, Takeout, Dine-in	Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Small plates, Vegetarian options	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy	Groups	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://grubhub.com/restaurant/golden-duck-chinese-restaurant-1221-s-king-st-honolulu/2612888	null	null	2026-03-23T08:16:08.209468+00:00	0	3.45	4.4	3,871.3	230.7	66.273	0.99	83	92.4	80.2	0.4314	0.25	0.652	0.703	0.6288	0.7712	0.7957	0.3603	82.6	81.4	50	50	75	12.5	12.5	81.82	4.55	13.64	77.5	7.5	15	declining	stable	-0.402	1.2	0.0232	1.5	2	8	22	40	69.8	66.5	0	67	71.2	92	407	3,504	686	754	6,033	1,256	200,456	886,952	290,105	214,980	407	66,834	101	270,839	93,634	101	44,523	541,581	101	637,967	353	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.2679	0.2547	0.4868	0.4953	0.2216	0.8017	0.2175	0.432	0.5325	0.2764	0.8872	0.2598	0.5914	0.4902	0.117	100	100	100	66,834	117,995	270,839	0.9072	0.8318	0.631	0.8271	0.7712	72.5	4.34	488	83.7	0.572	-5.3	-0.19	100	-3.4	-0.1467	93,634	96,562	44,523	0.8695	0.8575	0.9404	0.8523	0.7957	79.1	4.46	1,320	86.4	0.6565	-11.9	-0.31	-732	-6.1	-0.2312	541,581	434,185	637,967	0.2671	Market Leader	0.3978	0.139	0.4284	0.3603	Market Leader	71.7	4.29	383	82.4	Below Average	0.5875	-4.5	-0.14	205	-2.1	-0.1622	101	101	101	660	44	competitive	0.0119	31.83	0	5	85	10	2,913	1,031	competitive	0.0044	1.27	0	55	45	6,804	5,012	competitive	0.0151	0.32	2	87	11	0.305	0.6118	0.445	0.0966	100	101	1,462	2,265	630	0.5593	0.3167	0.8118	0.4222	0.3681	80.2	4.49	1,341	87.7	0.6771	-13	-0.34	-753	-7.4	-0.2518	competitive	0.0044	0.44	46	54	0.5623	0.99	2.32	0.2175	0.675	0.5325	0.0334	100	101	2,310	3,537	910	0.5478	0.3068	0.8231	0.411	0.3544	81.7	4.56	1,366	89.5	0.7279	-14.5	-0.41	-778	-9.2	-0.3026	competitive	0.0043	0.0035	1	0.56	0.5581	0.2094	0.3682	0.5406	0.3402	828,388	62.9	3.88	394	76.6	0.4737	4.3	0.27	194	-0.0484	0.5394	0.354	0.7231	0.4824	0.3851	378,828	0.5389	3.7	530,045	229,031	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	4.8	-0.12	306	-0.0742	0.5691	0.2812	0.8428	0.4002	0.3365	1,024	58.58	-15.06	0.3111	2,405	2.89	3,463	1,524	0.3871	3,871.3	0.69	14,553	51	0.0938	938.31	1.42	99.01	0.2	99.01	2.28	99.01	0.19	99.01	0.18	99.01	2.1	-0.01	7	0.1	-5.8	null	null	null	null	null	-0.02	23,399	-0.033	0.8	66,833	0.907	-0.02	36,503	-0.052	0.89	93,632	0.87	0.01	-15,762	0.022	0.27	541,579	0.267	-0.19	-192,049	-0.2	0.56	1,462	0.559	0.42	-734,363	0.453	0.56	2,310	0.548	0.4253	100	0	588	0.27	8	1	1	accelerating	0.27	1.87	8	8	17	49	0.848	0.854	0.854	1	1	119,524	124,212	124,100	1	1	accelerating	0.17	null	43.52
6HWWL8JK	Egghead Cafe	Food and Drink	Restaurants	Breakfast restaurant	"Breakfast restaurant, Asian fusion restaurant, Brunch restaurant, Cafe, Coffee shop, Espresso bar, (...TRUNCATED)	1210 Dillingham Blvd #8, Honolulu, HI 96817	1210 Dillingham Blvd #8	Honolulu	Hawaii	Kalihi - Palama	Kalihi-Palama	96,817	US	true	21.323334	-157.874275	Pacific/Honolulu	(808) 88-***	2	Urban Honolulu	true	Honolulu	Hawaii	US	https	https://eggheadhonolulu.com	eggheadhonolulu.com	eggheadhonolulu.com	com	3,798	2015-11-06	2026-11-06	Tucows Domains Inc.	purchase_dataset@gmail.com	null	1	1	0	Modern breakfast cafe for classic omelettes, pancakes & coffee, plus signature Taiwanese specials.	4.61	992	{"1": 27, "2": 13, "3": 43, "4": 142, "5": 749}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Great coffee, Great tea selection, Serves local specialty	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Coffee, Comfort food, Happy hour food, Healthy options, Quick bite, Small plates, Vegan options, Ve(...TRUNCATED)	Breakfast, Brunch, Lunch, Catering, Counter service, Dessert, Seating, Table service	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Brunch reservations recommended, Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/egghead_cafe	egghead_cafe	https://www.facebook.com/eggheadhonolulu	eggheadhonolulu	null	null	https://www.tiktok.com/@eggheadhonolulu	eggheadhonolulu	https://www.linkedin.com/company/egghead-cafe	egghead-cafe	null	null	null	null	null	null	null	null	6,126	5.45	null	10.69	5.87	5.45	761	null	null	null	null	14	2	146	13.85	null	null	null	null	https://eggheadhonolulu.com/_files/ugd/93488a_9580fd665c2e47348158aa066aa7e9cd.pdf	null	null	2026-03-23T08:14:24.913351+00:00	1.77	2.16	0	4,374.04	57.5	66.273	0.98	92.2	99.9	91.4	0.813	1	0.6207	0.7563	0.7713	0.5549	0.6805	0.5546	81	88.6	100	0	78.95	15.79	5.26	87.93	8.62	3.45	89.09	7.27	3.64	improving	declining	0.3793	-7.6	-0.1506	-8.6	1	19	58	110	83.6	38.5	84	100	84.3	92	206	1,447	351	394	2,737	648	99,699	388,131	138,098	108,337	206	427,172	91	627,688	207,960	101	320,029	249,368	101	93,984	68	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.7275	0.2506	0.5681	-0.2506	0.0501	0.3881	0.1417	0.3074	-0.1417	0.3108	0.6751	0.2913	0.5125	-0.2913	0.1057	100	90	100	427,172	291,077	627,688	0.4134	0.5946	0.1477	0.7136	0.5549	63.8	4.09	231	81.3	0.5002	16.9	0.52	753	10.1	0.3124	207,960	193,590	320,029	0.7151	0.7255	0.5711	0.7521	0.6805	76.7	4.37	752	84.5	0.6214	4	0.24	232	6.9	0.1912	249,368	220,861	93,984	0.6533	Below Average	0.681	0.8728	0.6814	0.5546	Strong	78.6	4.43	1,301	85.8	Strong	0.6427	2.1	0.18	-317	5.6	0.1699	91	101	101	511	27	competitive	0.0452	28.65	6.7	24.4	56.7	12.2	3,400	1,014	competitive	0.0129	1.27	1	69	30	7,258	5,091	competitive	0.0075	0.32	0	62	38	0.315	0.6156	-0.315	0.0026	100	101	226	906	356	0.9319	0.7209	0.8939	0.7765	0.8802	80.2	4.49	1,331	87.8	0.6773	0.5	0.12	-347	3.6	0.1353	competitive	0.0073	0.44	47	53	0.8572	0.99	2.32	0.2175	0.6693	-0.2175	-0.0511	100	101	308	1,485	475	0.939	0.7033	0.9073	0.763	0.8694	81.8	4.57	1,363	89.6	0.7282	-1.1	0.04	-379	1.8	0.0844	competitive	0.0072	0.0035	1	0.56	0.8588	0.2094	0.3682	-0.2094	0.25	828,388	62.9	3.88	394	76.6	0.4737	17.8	0.73	590	0.3389	0.9374	0.7213	0.8591	0.8114	0.8794	50,230	0.8491	14.8	225,286	116,487	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	18.3	0.34	702	0.3131	0.943	0.72	0.9106	0.7854	0.8839	134	58.58	33.47	0.8956	2,405	2.89	3,463	1,524	0.3842	3,841.93	0.69	14,553	51	0.0936	936.3	20.44	109.89	1.67	99.01	0.56	99.01	0.54	99.01	0.51	99.01	-6.5	0	8	0.1	-47.5	null	null	null	null	null	0.02	-55,749	0.075	0.39	427,171	0.413	-0.01	8,328	-0.012	0.68	207,959	0.715	-0.06	113,545	-0.156	0.73	249,365	0.653	0.11	-193,285	0.173	0.86	226	0.932	0.72	-736,365	0.844	0.86	308	0.939	0.8126	null	null	984	0.17	5	0.389	0.456	decelerating	0.17	1.17	5	5	40	131	0.719	0.729	0.729	0.389	0.456	213,014	221,732	221,154	21	30	decelerating	-0.3	null	92.05
69CNZQ89	100 Sails Restaurant & Bar	Food and Drink	Restaurants	Pacific Rim restaurant	Pacific Rim restaurant, Bar, Buffet restaurant, Live music venue, Restaurant	100 Holomoana St 3rd Floor, Honolulu, HI 96815	100 Holomoana St 3rd Floor	Honolulu	Hawaii	Waikiki	Waikiki	96,815	US	true	21.286192	-157.8403	Pacific/Honolulu	(808) 94-***	4	Urban Honolulu	true	Honolulu	Hawaii	US	http	http://100sails.com	100sails.com	100sails.com	com	3,438	2016-10-31	2026-10-31	GoDaddy.com, LLC	null	null	0	0	0	New American & Pacific Rim fare, plus an upscale buffet including tempura & crab legs.	4.26	1,335	{"1": 61, "2": 44, "3": 149, "4": 333, "5": 785}	Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great dessert, Great wine list, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, All you can eat, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trending, Trendy, Upscale	Family-friendly, Groups, Tourists	"Brunch reservations recommended, Lunch reservations recommended, Reservations required, Dinner rese(...TRUNCATED)	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	2	https://www.instagram.com/100sails	100sails	https://www.facebook.com/100sails	100sails	null	null	null	null	null	null	null	null	null	null	null	null	null	null	14,484	0.66	null	1.3	0.71	0.66	1,182	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/hawaii-prince---prince-court/menu	https://opentable.com/restaurant/profile/40156	https://opentable.com/restaurant/profile/40156	2026-03-19T14:13:52.396978+00:00	4.18	3.02	0.5	3,870.72	115.2	66.273	0.98	85.2	100	81	0.3948	0.5	0.3123	0.3988	0.4355	0.7108	0.7966	0.3655	65.6	71.8	100	0	68.75	25	6.25	73.08	21.15	5.77	78.17	14.79	7.04	improving	declining	0.1877	-6.2	-0.1232	-8.6	1	16	52	142	70.6	40.5	44	83	56.5	84	37	3,074	49	44	5,370	58	12,711	782,741	15,710	13,128	37	77,384	101	113,041	89,213	101	48,139	490,358	101	599,393	296	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.3372	0.2225	0.505	-0.2225	-0.1817	0.8284	0.2533	0.4773	-0.2533	-0.154	0.8879	0.2598	0.6035	-0.2598	-0.2802	100	100	100	77,384	195,666	113,041	0.8925	0.7256	0.8457	0.6348	0.7108	71.9	4.22	632	79.8	0.5494	-0.5	0.04	703	1.2	-0.1593	89,213	96,562	48,139	0.8749	0.8575	0.9355	0.8654	0.7966	79.2	4.46	1,296	86.7	0.6568	-7.8	-0.2	39	-5.7	-0.2667	490,358	366,297	599,393	0.3348	Market Leader	0.4867	0.1911	0.5239	0.3655	Market Leader	73.9	4.34	463	83.8	Below Average	0.5892	-2.5	-0.08	872	-2.8	-0.1991	101	101	101	617	16	competitive	0.0207	31.83	0	4	89	7	2,169	1,097	competitive	0.0102	1.27	0	56	44	6,455	5,056	competitive	0.028	0.32	0	81	19	0.305	0.6154	-0.305	-0.2921	100	101	1,021	2,012	81	0.6941	0.3899	0.9758	0.4377	0.3251	80.2	4.5	1,332	87.8	0.679	-8.8	-0.24	3	-6.8	-0.2889	competitive	0.0099	0.44	46	54	0.6873	0.99	2.32	0.2275	0.6756	-0.2275	-0.3523	100	101	1,591	3,152	58	0.6892	0.3777	0.9889	0.4273	0.318	81.7	4.57	1,361	89.6	0.7296	-10.3	-0.31	-26	-8.6	-0.3395	competitive	0.0097	0.0035	1	0.56	0.6857	0.2094	0.3682	-0.2094	-0.0449	828,388	62.9	3.88	394	76.6	0.4737	8.5	0.38	941	-0.0836	0.676	0.4292	0.9835	0.4988	0.3524	265,890	0.6942	4.4	466,850	13,635	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	9	-0.01	1,053	-0.1094	0.6988	0.3731	0.9859	0.421	0.2987	722	58.58	-24.08	0.2762	2,405	2.89	3,463	1,524	0.3845	3,845.34	0.69	14,553	51	0.0935	934.98	4.28	99.01	1.04	99.01	7.84	99.01	0.99	99.01	0.94	99.01	-7.2	0	22	-0.1	-57.8	null	null	null	null	null	-0.03	26,693	-0.037	0.83	77,383	0.893	-0.02	30,224	-0.043	0.89	89,211	0.875	0.01	-27,916	0.038	0.34	490,356	0.335	-0.06	-192,490	-0.065	0.69	1,021	0.694	0.55	-735,082	0.594	0.69	1,591	0.689	0.3901	null	null	1,318	0.23	7	0.667	0.625	decelerating	0.23	1.63	7	7	31	160	0.816	0.822	0.822	0.667	0.625	142,983	148,636	148,433	2	4	decelerating	-0.2	null	34.5
NGL9C87Y	Bogart's Café	Food and Drink	Restaurants	Restaurant	"Restaurant, Açaí shop, Breakfast restaurant, Cafe, Coffee shop, Lunch restaurant, Pancake restaur(...TRUNCATED)	3045 Monsarrat Ave, Honolulu, HI 96815	3045 Monsarrat Ave	Honolulu	Hawaii	Diamond Head / Kapahulu / St. Louis Heights	Diamond Head-Kapahulu-St. Louis	96,815	US	true	21.268804	-157.813718	Pacific/Honolulu	(808) 73-***	2	Urban Honolulu	true	Honolulu	Hawaii	US	http	http://bogartscafe.com	bogartscafe.com	bogartscafe.com	com	4,099	2015-01-09	2034-01-09	GoDaddy.com, LLC	"purchase_dataset@bogartscafe.com, purchase_dataset@bogartscafe.com, purchase_dataset@bogartscafe.co(...TRUNCATED)	realdomain	3	2	1	Cash-only coffeehouse offering up java, pastries, bagels & other light fare in a relaxed setting.	4.46	1,178	{"1": 43, "2": 29, "3": 111, "4": 334, "5": 930}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert, Great tea selection, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Organic dishes, Quick(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Cozy, Trendy	College students, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	purchase_dataset@	true	true	4	https://www.instagram.com/bogartscafe	bogartscafe	https://www.facebook.com/bogartscafe	bogartscafe	https://twitter.com/bogarts_cafe	bogarts_cafe	null	null	https://www.linkedin.com/in/michael-barnette-18730327	michael-barnette-18730327	null	null	null	null	null	null	null	null	10,864	1.09	null	2.67	2.03	1.16	1,830	null	null	null	null	null	null	null	null	null	null	null	null	https://bogartscafe.com/honolulu-bogart-s-cafe-food-menu	null	null	2026-03-19T09:28:39.485857+00:00	3.14	7.79	0	3,902.41	57.3	66.273	0.98	89.2	100	87.6	0.7337	0.875	0.8729	0.8343	0.8489	0.662	0.771	0.5146	93.6	92.4	100	0	91.18	5.88	2.94	92.93	6.06	1.01	94.21	4.74	1.05	stable	stable	0.0021	1.2	0.024	1.3	4	34	99	190	84.8	56.7	72	100	92.5	84	68	2,158	94	83	3,930	113	22,813	560,700	28,568	24,304	68	459,193	48	150,369	123,333	101	59,913	375,571	101	534,132	163	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.4554	0.2663	0.5544	0.7337	0.3223	0.5349	0.0851	0.4476	0.9149	0.4291	0.8524	0.2611	0.5657	0.7389	0.311	100	47	100	459,193	364,145	150,369	0.3705	0.4943	0.7948	0.7136	0.662	63.2	4	588	81.3	0.533	22.3	0.46	590	6.3	0.2002	123,333	127,059	59,913	0.8293	0.816	0.9196	0.8111	0.771	78.4	4.43	1,229	85.6	0.6489	7.1	0.03	-51	2	0.0843	375,571	286,724	534,132	0.4859	Average	0.5909	0.2791	0.6177	0.5146	Market Leader	76.7	4.39	612	85	Average	0.6326	8.8	0.07	566	2.6	0.1006	48	101	101	702	13	competitive	0.0409	14.96	10.6	25.5	55.3	8.5	2,315	1,002	competitive	0.0095	1.27	0	62	38	7,222	5,008	competitive	0.0189	0.32	0	70	30	0.305	0.611	0.695	0.2657	100	101	68	1,382	141	0.98	0.5754	0.9576	0.6421	0.7717	80.1	4.49	1,337	87.7	0.6774	5.4	-0.03	-159	-0.1	0.0558	competitive	0.0087	0.44	46	54	0.8519	0.99	2.31	0.2075	0.6676	0.7925	0.2091	100	101	24	2,245	98	0.9953	0.5529	0.9809	0.6281	0.7554	81.6	4.57	1,364	89.5	0.7265	3.9	-0.11	-186	-1.9	0.0067	competitive	0.0086	0.0035	1	0.56	0.8583	0.2094	0.3682	0.7906	0.5085	828,388	62.9	3.88	394	76.6	0.4737	22.6	0.58	784	0.2595	0.9932	0.5965	0.9693	0.6987	0.773	5,325	0.867	11	327,240	25,256	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	23.1	0.19	896	0.2337	0.995	0.5657	0.9746	0.6448	0.7741	12	58.58	31.15	0.8328	2,405	2.89	3,463	1,524	0.386	3,860.33	0.69	14,553	51	0.0937	937.07	16.71	208.33	0.9	99.01	3.56	99.01	0.76	99.01	0.73	99.01	-1.8	0.02	58	0.5	-39.1	null	null	null	null	null	-0.04	52,666	-0.071	0.53	459,188	0.371	-0.03	55,285	-0.077	0.85	123,324	0.829	0.03	-52,234	0.069	0.46	375,562	0.486	0.1	-193,443	0.221	0.85	68	0.98	0.72	-736,649	0.9	0.86	24	0.995	0.7332	100	0	1,162	0.6	18	0.954	0.948	stable	0.6	4.2	18	18	54	223	0.958	0.959	0.959	0.954	0.948	36,509	37,921	37,916	20	40	stable	-0.3	null	89.73
HE6WRFJU	Legend Seafood Restaurant	Food and Drink	Restaurants	Chinese restaurant	Chinese restaurant, Dim sum restaurant, Seafood restaurant	100 N Beretania St #108, Honolulu, HI 96817	100 N Beretania St #108	Honolulu	Hawaii	Downtown	Downtown	96,817	US	true	21.314273	-157.861563	Pacific/Honolulu	(808) 53-***	2	Urban Honolulu	true	Honolulu	Hawaii	US	https	https://legendseafoodrestaurant.com	legendseafoodrestaurant.com	legendseafoodrestaurant.com	com	1,195	2022-12-22	2026-12-22	Wild West Domains, LLC	null	null	0	0	0	"Dim sum & other Cantonese-style dishes are supplied at this casual, long-standing Chinese mainstay.(...TRUNCATED)	4.21	1,120	{"1": 46, "2": 30, "3": 144, "4": 357, "5": 607}	Onsite services, Takeout, Dine-in	Fast service, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Comfort food, Hard liquor, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual	Groups, Tourists	Dinner reservations recommended, Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	3	https://www.instagram.com/legendseafoodrestaurant	legendseafoodrestaurant	https://www.facebook.com/p/legend-seafood-restaurant-100066301466736	legend-seafood-restaurant-100066301466736	null	null	https://www.tiktok.com/@legendseafoodrestaurant	legendseafoodrestaurant	null	null	null	null	null	null	null	null	null	null	412	2.91	null	null	null	null	10	null	null	null	null	13	15	30	1.5	null	null	null	null	https://places.singleplatform.com/legend-seafood-restaurant/menu	https://autoreserve.com/restaurants/lvrctza6yjfzlhyitmdi	https://autoreserve.com/restaurants/lvrctza6yjfzlhyitmdi	2026-03-19T07:47:35.992197+00:00	0.12	1.29	0.5	3,973.97	76.8	66.273	0.98	84.2	100	81.1	0.6439	0.5	0.8206	0.6026	0.5749	0.8817	0.777	0.4865	91	78.7	100	0	100	0	0	80	10	10	78.21	11.54	10.26	declining	improving	-0.3206	12.3	0.2457	15.6	2	12	30	78	76.7	35.1	64	83	90.2	84	96	3,285	133	132	5,685	184	38,403	830,740	47,916	41,313	96	111,349	101	507,503	123,333	101	237,887	279,105	101	113,107	328	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.6837	0.2239	0.5602	0.2761	0.2762	0.7089	0.2125	0.4777	0.2875	0.3587	0.7762	0.29	0.5813	0.21	0.2551	100	100	100	111,349	50,041	507,503	0.8453	0.9259	0.3102	0.9221	0.8817	70.4	4.46	328	86.4	0.6269	7.1	-0.25	792	-5.3	0.0174	123,333	137,691	237,887	0.8293	0.8008	0.6809	0.8267	0.777	78.4	4.42	840	85.9	0.6508	-0.9	-0.21	280	-4.8	-0.0065	279,105	269,729	113,107	0.6141	Strong	0.6134	0.847	0.6099	0.4865	Strong	78.2	4.4	1,255	84.9	Strong	0.6251	-0.7	-0.19	-135	-3.8	0.0192	101	101	101	501	6	competitive	0.033	31.83	0	9	80	11	3,217	1,457	competitive	0.0132	1.27	0	61	39	5,946	5,002	competitive	0.0088	0.32	0	65	35	0.315	0.6133	0.185	0.2231	100	101	466	2,146	191	0.8596	0.352	0.9432	0.4413	0.6486	80.2	4.5	1,337	87.8	0.6792	-2.7	-0.29	-217	-6.7	-0.0349	competitive	0.0083	0.44	45	55	0.7324	0.99	2.32	0.2175	0.6705	0.2825	0.1659	100	101	703	3,355	157	0.8618	0.339	0.9695	0.4296	0.6262	81.7	4.57	1,364	89.6	0.7272	-4.2	-0.36	-244	-8.5	-0.0829	competitive	0.0081	0.0035	1	0.56	0.7373	0.2094	0.3682	0.2906	0.4682	828,388	62.9	3.88	394	76.6	0.4737	14.6	0.33	726	0.1706	0.8586	0.3937	0.9474	0.5017	0.641	114,813	0.7458	4.5	496,650	43,155	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	15.1	-0.06	838	0.1448	0.8723	0.329	0.9617	0.426	0.6373	305	58.58	29.67	0.7862	2,405	2.89	3,463	1,524	0.3862	3,861.6	0.69	14,553	51	0.0937	936.96	10.91	99.01	1.73	99.01	0.78	99.01	0.69	99.01	0.66	99.01	-4.3	-0.01	14	-0.2	-60.1	null	null	null	null	null	0.01	-25,810	0.036	0.71	111,342	0.845	0.01	-6,292	0.007	0.78	123,316	0.829	-0.06	95,031	-0.129	0.68	279,082	0.614	-0.02	-193,045	0.101	0.73	466	0.86	0.6	-735,970	0.767	0.74	703	0.862	0.6443	100	0	1,110	0.1	3	0.772	0.82	decelerating	0.1	0.7	3	3	17	81	0.557	0.57	0.571	0.772	0.82	331,227	345,950	344,596	16	16	decelerating	-0.1	null	88.25
X4P2UDW7	Waioli Kitchen & Bake Shop	Food and Drink	Restaurants	Restaurant	Restaurant, Bakery, Coffee shop	2950 Manoa Rd, Honolulu, HI 96822	2950 Manoa Rd	Honolulu	Hawaii	Manoa	Manoa	96,822	US	true	21.31606	-157.812361	Pacific/Honolulu	(808) 74-***	2	Urban Honolulu	true	Honolulu	Hawaii	US	https	https://waiolikitchen.com	waiolikitchen.com	waiolikitchen.com	com	2,873	2018-05-19	2028-05-19	GoDaddy.com, LLC	purchase_dataset@manoaheritagecenter.org	null	1	1	0	"Cozy & relaxing spot with old Hawaii charm to enjoy a tropical patio with coffee, tea & light bites(...TRUNCATED)	4.72	650	{"1": 11, "2": 5, "3": 20, "4": 83, "5": 529}	Outdoor seating, Onsite services, Takeout, Dine-in	Fireplace, Great coffee, Great dessert, Great tea selection, Serves local specialty	Breakfast, Lunch, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Coffee, Comfort food, Healthy options, Organic dishes, Private dining room, Quick bite, Small plate(...TRUNCATED)	Breakfast, Brunch, Lunch, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual, Cozy, Historic, Quiet, Trendy	Family-friendly, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	2	https://www.instagram.com/waiolikitchen	waiolikitchen	https://www.facebook.com/waiolikitchen	waiolikitchen	null	null	null	null	null	null	null	null	null	null	null	null	null	null	7,777	4.72	null	null	0.76	0.76	917	null	null	null	null	null	null	null	null	null	null	null	null	https://waiolikitchen.com/menus	null	null	2026-03-12T09:21:59.872992+00:00	2.25	6.47	0.2	4,056.75	115	66.273	0.99	94.4	93.8	94.6	0.8674	1	0.8829	0.8737	0.8396	0.4058	0.745	0.6359	94.1	92	100	0	95.45	4.55	0	93.18	4.55	2.27	92.16	3.92	3.92	improving	stable	0.1171	2.1	0.0433	2.3	5	22	44	102	85.8	70.5	68	83	94.5	70	372	1,020	626	690	1,991	1,140	181,179	279,437	259,325	194,526	372	600,442	28	664,562	123,333	101	51,907	313,973	101	501,694	29	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.5216	0.2788	0.5963	0.7212	0.2917	0.1458	0.1296	0.3273	0.8704	0.5607	0.8511	0.2286	0.5623	0.7714	0.3257	100	27	100	600,442	626,276	664,562	0.1819	0.1455	0.098	0.4753	0.4058	59.7	3.62	189	77	0.4574	26.8	1.1	461	17.6	0.4101	123,333	137,691	51,907	0.8293	0.8008	0.9304	0.8059	0.745	78.4	4.42	1,273	85.5	0.6407	8.1	0.3	-623	9.1	0.2268	313,973	236,527	501,694	0.5677	Emerging	0.6588	0.3228	0.7055	0.6359	Market Leader	77.7	4.42	680	86.1	Average	0.6619	8.8	0.3	-30	8.5	0.2056	28	101	101	833	690	competitive	0.1132	8.59	14.8	25.9	51.9	7.4	4,255	2,695	competitive	0.0051	1.27	0	61	39	6,228	5,003	competitive	0.0095	0.32	0	67	33	0.305	0.6115	0.695	0.2765	100	101	59	658	576	0.9824	0.7986	0.8279	0.8644	0.9295	80.2	4.49	1,342	87.7	0.6775	6.3	0.23	-692	6.9	0.19	competitive	0.0048	0.44	46	54	0.8809	0.99	2.32	0.2175	0.6724	0.7825	0.2156	100	101	9	1,095	828	0.9983	0.7825	0.839	0.853	0.9234	81.7	4.57	1,366	89.5	0.7286	4.8	0.15	-716	5.1	0.1389	competitive	0.0047	0.0035	1	0.56	0.8858	0.2094	0.3682	0.7906	0.5198	828,388	62.9	3.88	394	76.6	0.4737	23.6	0.84	256	0.3938	0.9963	0.7917	0.7501	0.883	0.9306	2,921	0.8611	18	168,526	206,654	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	24.1	0.45	368	0.368	0.9983	0.8007	0.8557	0.876	0.9347	4	58.58	36.71	0.9522	2,405	2.89	3,463	1,524	0.3874	3,873.9	0.69	14,553	51	0.0938	938.35	128.06	357.14	0.26	99.01	0.9	99.01	0.23	99.01	0.22	99.01	4.6	0	3	0	-4.7	null	null	null	null	null	0	-12,953	0.019	0.15	600,441	0.182	-0.04	55,285	-0.077	0.85	123,317	0.829	0.04	-79,345	0.105	0.52	313,948	0.568	0.13	-193,452	0.223	0.88	59	0.982	0.75	-736,664	0.903	0.89	9	0.998	0.8675	100	0	650	0.5	15	0.932	0.921	accelerating	0.5	3.5	15	15	35	118	0.944	0.946	0.946	0.932	0.921	47,774	49,638	49,640	30	57	accelerating	0	null	95.29
TM2Q4F5S	The Boiling Crab	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant, Crab house, Family restaurant, Restaurant	330 Coral St, Honolulu, HI 96813	330 Coral St	Honolulu	Hawaii	Downtown	Ala Moana-Kakaako	96,813	US	true	21.298021	-157.861007	Pacific/Honolulu	(808) 51-***	4	Urban Honolulu	true	Honolulu	Hawaii	US	http	http://theboilingcrab.com	theboilingcrab.com	theboilingcrab.com	com	7,257	2006-05-18	2026-05-19	GoDaddy.com, LLC	null	null	0	0	0	"Casual small chain offering boiled-in-bag Cajun-spiced crawfish, oysters, shrimp & other shellfish.(...TRUNCATED)	4.21	803	{"1": 52, "2": 42, "3": 70, "4": 168, "5": 481}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Cocktails, Comfort food, Hard liquor, Wine	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://theboilingcrab.com/menu/honolulu	null	null	2026-03-07T16:34:47.701153+00:00	0	1.72	4.2	3,845.34	230.6	66.273	0.98	84.2	96.8	79.8	0.5982	1	1	0.7065	0.586	0.8139	0.7549	0.5767	100	79.3	100	0	100	0	0	88.89	11.11	0	81.25	17.19	1.56	stable	improving	0	20.7	0.414	26.1	1	7	27	64	66.1	36.8	0	50	94.2	60	268	3,289	464	512	5,691	859	138,933	832,148	194,687	149,838	268	228,288	101	606,814	118,881	101	65,216	391,656	101	491,424	331	2,529	5,005	4,177	8,403	724,238	1,424,284	724,238	0.4642	0.3255	0.5593	0.6745	0.4131	0.6075	0.1845	0.4623	0.8155	0.5101	0.8526	0.2598	0.5472	0.7402	0.4252	100	100	100	228,288	42,000	606,814	0.6836	0.9377	0.1758	0.9358	0.8139	67.4	4.48	251	87	0.5902	-0.7	-0.27	552	-7.2	0.0076	118,881	127,059	65,216	0.8352	0.816	0.9125	0.8215	0.7549	78.5	4.43	1,206	85.8	0.6438	-11.8	-0.22	-403	-6	-0.046	391,656	286,724	491,424	0.4648	Average	0.5909	0.3366	0.6409	0.5767	Market Leader	76.4	4.39	700	85.3	Average	0.648	-9.7	-0.18	103	-5.5	-0.0502	101	101	101	530	22	competitive	0.031	31.83	0	25	66	9	3,448	1,002	competitive	0.0066	1.27	0	60	40	6,477	5,057	competitive	0.0113	0.32	0	74	26	0.305	0.6154	0.695	0.357	100	101	1,513	2,146	440	0.5432	0.352	0.8688	0.4022	0.5826	80.2	4.5	1,332	87.8	0.679	-13.5	-0.29	-529	-8	-0.0812	competitive	0.006	0.44	46	54	0.5835	0.99	2.32	0.2275	0.674	0.7725	0.2984	100	101	2,382	3,355	614	0.5329	0.339	0.8808	0.3935	0.5575	81.7	4.57	1,365	89.5	0.7288	-15	-0.36	-562	-9.7	-0.131	competitive	0.0059	0.0035	1	0.56	0.5791	0.2094	0.3682	0.7906	0.6042	828,388	62.9	3.88	394	76.6	0.4737	3.8	0.33	409	0.1241	0.5231	0.3937	0.8078	0.467	0.5776	392,417	0.5697	3.2	496,650	158,947	24.3	58.7	7.7	9.2	828,389	2,405	62.4	4.27	282	79.6	0.4995	4.3	-0.06	521	0.0983	0.5528	0.329	0.8877	0.3785	0.5678	1,066	58.58	22.07	0.5819	2,405	2.89	3,463	1,524	0.3845	3,845.34	0.69	14,553	51	0.0938	937.66	9.62	99.01	0.44	99.01	1.29	99.01	0.36	99.01	0.34	99.01	-0.9	0	1	0	-44.3	null	null	null	null	null	0.04	-73,835	0.101	0.61	228,286	0.684	-0.03	48,660	-0.068	0.85	118,858	0.835	0	-23,028	0.03	0.46	391,631	0.465	-0.17	-191,998	-0.216	0.58	1,513	0.543	0.44	-734,291	0.438	0.58	2,382	0.533	0.5978	100	0	803	0.13	4	0.421	0.343	decelerating	0.13	0.93	4	4	21	80	0.648	0.66	0.66	0.421	0.343	264,626	275,746	274,862	31	62	decelerating	0	null	80.65

Top 30% Active Restaurant Review Whales in Hawaii, US

Free sample dataset from BeamStation

--High-Volume, Active targets--

This dataset lists the Top 30% Active Restaurant Review Whales in Hawaii, US, focusing on establishments that demonstrate strong foot traffic and review volume. Each record represents a restaurant that ranks within the Top 10% of its local market for proven activity over the past 30 days, assessed within a 10‑km radius. The collection includes 820 records, refreshed weekly to capture the latest trends. It is designed for professionals in payment processing, POS systems, and supply chain sales who need high‑velocity, actively transacting accounts. Validation is performed using an "Active Heartbeat" signal to confirm ongoing engagement. For more details, visit https://beamstation.com/datasets/118291/.

Dataset Details

Field	Value
Full dataset	820 records
Sample size	10 records
Location	Hawaii
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (484 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	`census_place`
22	`verified_census_city`
23	`beam_location_name`
24	`beam_state_code`
25	`beam_country_code`
26	`website_protocol`
27	`website`
28	`website_normalized`
29	`website_domain`
30	`website_domain_tld`
31	`website_domain_age`
32	`website_domain_registered`
33	`website_domain_expires`
34	`website_domain_registrar`
35	`emails_list`
36	`emails_list_website_domain`
37	`emails_count`
38	`emails_deliverable_count`
39	`emails_risky_count`
40	`description`
41	`rating`
42	`reviews_total_count`
43	`reviews_per_rating`
44	`service_options`
45	`highlights`
46	`popular_for`
47	`accessibility`
48	`offerings`
49	`dining_options`
50	`amenities`
51	`atmosphere`
52	`crowd`
53	`planning`
54	`payments`
55	`children`
56	`has_website`
57	`has_email`
58	`has_social`
59	`has_phone`
60	`socials_count`
61	`social_profile_instagram`
62	`social_username_instagram`
63	`social_profile_facebook`
64	`social_username_facebook`
65	`social_profile_twitter`
66	`social_username_twitter`
67	`social_profile_tiktok`
68	`social_username_tiktok`
69	`social_profile_linkedin`
70	`social_username_linkedin`
71	`social_profile_youtube`
72	`social_username_youtube`
73	`social_profile_github`
74	`social_username_github`
75	`social_profile_snapchat`
76	`social_username_snapchat`
77	`social_profile_pinterest`
78	`social_username_pinterest`
79	`instagram_followers`
80	`instagram_engagement_rate`
81	`instagram_engagement_rate_1m`
82	`instagram_engagement_rate_3m`
83	`instagram_engagement_rate_6m`
84	`instagram_engagement_rate_12m`
85	`instagram_post_count`
86	`first_social_post_days_min`
87	`first_social_post_days_max`
88	`last_social_post_days_min`
89	`last_social_post_days_max`
90	`tiktok_followers`
91	`tiktok_video_count`
92	`tiktok_heart_count`
93	`tiktok_engagement_rate`
94	`tiktok_engagement_rate_1m`
95	`tiktok_engagement_rate_3m`
96	`tiktok_engagement_rate_6m`
97	`tiktok_engagement_rate_12m`
98	`menu_link`
99	`order_links`
100	`reservation_link`
101	`last_updated_at`
102	`beam_cross_social_market_penetration`
103	`beam_cross_velocity_quality`
104	`beam_cross_social_urgency`
105	`beam_cross_per_capita_engagement`
106	`beam_cross_market_saturation_lead`
107	`beam_cross_population_adjusted_rank`
108	`beam_cross_demand_gap_index`
109	`beam_rating_score`
110	`beam_review_confidence`
111	`beam_rating_health`
112	`sentiment_avg`
113	`sentiment_avg_30d`
114	`sentiment_avg_90d`
115	`sentiment_avg_180d`
116	`sentiment_avg_360d`
117	`sentiment_percentile_1km`
118	`sentiment_percentile_5km`
119	`sentiment_percentile_10km`
120	`sentiment_score_90d`
121	`sentiment_score_360d`
122	`sentiment_positive_pct_30d`
123	`sentiment_negative_pct_30d`
124	`sentiment_neutral_pct_30d`
125	`sentiment_positive_pct_90d`
126	`sentiment_negative_pct_90d`
127	`sentiment_neutral_pct_90d`
128	`sentiment_positive_pct_180d`
129	`sentiment_negative_pct_180d`
130	`sentiment_neutral_pct_180d`
131	`sentiment_positive_pct_360d`
132	`sentiment_negative_pct_360d`
133	`sentiment_neutral_pct_360d`
134	`sentiment_trend_30vs90d`
135	`sentiment_trend_90vs360d`
136	`sentiment_diff_30vs90d`
137	`sentiment_change_360d`
138	`sentiment_diff_90vs360d`
139	`sentiment_change_pct_360d`
140	`reviews_count_30d`
141	`reviews_count_90d`
142	`reviews_count_180d`
143	`reviews_count_360d`
144	`beam_score_overall`
145	`beam_popularity_percentile`
146	`beam_social_presence`
147	`beam_data_completeness`
148	`beam_price_value`
149	`beam_data_freshness`
150	`beam_rank_city_category`
151	`beam_rank_city_overall`
152	`beam_rank_city_reviews`
153	`beam_rank_state_category`
154	`beam_rank_state_overall`
155	`beam_rank_state_reviews`
156	`beam_rank_country_category`
157	`beam_rank_country_overall`
158	`beam_rank_country_reviews`
159	`beam_rank_place_global_category`
160	`beam_rank_category`
161	`beam_rank_competition_1km_category`
162	`beam_rank_competition_1km_total`
163	`beam_rank_competition_1km_reviews`
164	`beam_rank_competition_5km_category`
165	`beam_rank_competition_5km_total`
166	`beam_rank_competition_5km_reviews`
167	`beam_rank_competition_10km_category`
168	`beam_rank_competition_10km_total`
169	`beam_rank_competition_10km_reviews`
170	`beam_export_rank`
171	`total_city_category`
172	`total_city`
173	`total_state_category`
174	`total_state`
175	`total_country_category`
176	`total_country`
177	`total_category_global`
178	`beam_competitors_10km_competitive_strength`
179	`beam_competitors_10km_competitor_avg_sentiment_30d`
180	`beam_competitors_10km_competitor_avg_sentiment_90d`
181	`beam_competitors_10km_sentiment_diff_30d`
182	`beam_competitors_10km_sentiment_diff_90d`
183	`beam_competitors_1km_competitive_strength`
184	`beam_competitors_1km_competitor_avg_sentiment_30d`
185	`beam_competitors_1km_competitor_avg_sentiment_90d`
186	`beam_competitors_1km_sentiment_diff_30d`
187	`beam_competitors_1km_sentiment_diff_90d`
188	`beam_competitors_5km_competitive_strength`
189	`beam_competitors_5km_competitor_avg_sentiment_30d`
190	`beam_competitors_5km_competitor_avg_sentiment_90d`
191	`beam_competitors_5km_sentiment_diff_30d`
192	`beam_competitors_5km_sentiment_diff_90d`
193	`beam_competitors_10km_competitor_count`
194	`beam_competitors_1km_competitor_count`
195	`beam_competitors_5km_competitor_count`
196	`beam_competitors_1km_rank_by_score`
197	`beam_competitors_1km_rank_by_rating`
198	`beam_competitors_1km_rank_by_reviews`
199	`beam_competitors_1km_score_percentile`
200	`beam_competitors_1km_rating_percentile`
201	`beam_competitors_1km_reviews_percentile`
202	`beam_competitors_1km_health_percentile`
203	`beam_competitors_1km_sentiment_percentile`
204	`beam_competitors_1km_competitor_avg_score`
205	`beam_competitors_1km_competitor_avg_rating`
206	`beam_competitors_1km_competitor_avg_reviews`
207	`beam_competitors_1km_competitor_avg_health`
208	`beam_competitors_1km_competitor_avg_sentiment`
209	`beam_competitors_1km_score_diff`
210	`beam_competitors_1km_rating_diff`
211	`beam_competitors_1km_reviews_diff`
212	`beam_competitors_1km_health_diff`
213	`beam_competitors_1km_sentiment_diff`
214	`beam_competitors_5km_rank_by_score`
215	`beam_competitors_5km_rank_by_rating`
216	`beam_competitors_5km_rank_by_reviews`
217	`beam_competitors_5km_score_percentile`
218	`beam_competitors_5km_rating_percentile`
219	`beam_competitors_5km_reviews_percentile`
220	`beam_competitors_5km_health_percentile`
221	`beam_competitors_5km_sentiment_percentile`
222	`beam_competitors_5km_competitor_avg_score`
223	`beam_competitors_5km_competitor_avg_rating`
224	`beam_competitors_5km_competitor_avg_reviews`
225	`beam_competitors_5km_competitor_avg_health`
226	`beam_competitors_5km_competitor_avg_sentiment`
227	`beam_competitors_5km_score_diff`
228	`beam_competitors_5km_rating_diff`
229	`beam_competitors_5km_reviews_diff`
230	`beam_competitors_5km_health_diff`
231	`beam_competitors_5km_sentiment_diff`
232	`beam_competitors_10km_rank_by_score`
233	`beam_competitors_10km_rank_by_rating`
234	`beam_competitors_10km_rank_by_reviews`
235	`beam_competitors_10km_score_percentile`
236	`beam_competitors_1km_competitive_tier`
237	`beam_competitors_10km_rating_percentile`
238	`beam_competitors_10km_reviews_percentile`
239	`beam_competitors_10km_health_percentile`
240	`beam_competitors_10km_sentiment_percentile`
241	`beam_competitors_5km_competitive_tier`
242	`beam_competitors_10km_competitor_avg_score`
243	`beam_competitors_10km_competitor_avg_rating`
244	`beam_competitors_10km_competitor_avg_reviews`
245	`beam_competitors_10km_competitor_avg_health`
246	`beam_competitors_10km_competitive_tier`
247	`beam_competitors_10km_competitor_avg_sentiment`
248	`beam_competitors_10km_score_diff`
249	`beam_competitors_10km_rating_diff`
250	`beam_competitors_10km_reviews_diff`
251	`beam_competitors_10km_health_diff`
252	`beam_competitors_10km_sentiment_diff`
253	`beam_competitors_1km_total_in_radius`
254	`beam_competitors_5km_total_in_radius`
255	`beam_competitors_10km_total_in_radius`
256	`beam_competitors_1km_avg_distance_m`
257	`beam_competitors_1km_closest_competitor_m`
258	`beam_competitors_1km_market_type`
259	`beam_competitors_1km_review_share`
260	`beam_competitors_1km_density_per_sqkm`
261	`beam_competitors_1km_tier_below_40`
262	`beam_competitors_1km_tier_40_59`
263	`beam_competitors_1km_tier_60_79`
264	`beam_competitors_1km_tier_80_100`
265	`beam_competitors_5km_avg_distance_m`
266	`beam_competitors_5km_closest_competitor_m`
267	`beam_competitors_5km_market_type`
268	`beam_competitors_5km_review_share`
269	`beam_competitors_5km_density_per_sqkm`
270	`beam_competitors_5km_tier_below_40`
271	`beam_competitors_5km_tier_40_59`
272	`beam_competitors_5km_tier_60_79`
273	`beam_competitors_5km_tier_80_100`
274	`beam_competitors_10km_avg_distance_m`
275	`beam_competitors_10km_closest_competitor_m`
276	`beam_competitors_10km_market_type`
277	`beam_competitors_10km_review_share`
278	`beam_competitors_10km_density_per_sqkm`
279	`beam_competitors_10km_tier_below_40`
280	`beam_competitors_10km_tier_40_59`
281	`beam_competitors_10km_tier_60_79`
282	`beam_competitors_10km_tier_80_100`
283	`beam_competitors_city_competitor_avg_sentiment_30d`
284	`beam_competitors_city_competitor_avg_sentiment_90d`
285	`beam_competitors_city_sentiment_diff_30d`
286	`beam_competitors_city_sentiment_diff_90d`
287	`beam_competitors_city_competitor_count`
288	`beam_competitors_city_total_in_city`
289	`beam_competitors_city_rank_by_score`
290	`beam_competitors_city_rank_by_rating`
291	`beam_competitors_city_rank_by_reviews`
292	`beam_competitors_city_score_percentile`
293	`beam_competitors_city_rating_percentile`
294	`beam_competitors_city_reviews_percentile`
295	`beam_competitors_city_health_percentile`
296	`beam_competitors_city_sentiment_percentile`
297	`beam_competitors_city_competitor_avg_score`
298	`beam_competitors_city_competitor_avg_rating`
299	`beam_competitors_city_competitor_avg_reviews`
300	`beam_competitors_city_competitor_avg_health`
301	`beam_competitors_city_competitor_avg_sentiment`
302	`beam_competitors_city_score_diff`
303	`beam_competitors_city_rating_diff`
304	`beam_competitors_city_reviews_diff`
305	`beam_competitors_city_health_diff`
306	`beam_competitors_city_sentiment_diff`
307	`beam_competitors_city_market_type`
308	`beam_competitors_city_review_share`
309	`beam_competitors_city_density_per_sqkm`
310	`beam_competitors_city_tier_below_40`
311	`beam_competitors_city_tier_40_59`
312	`beam_competitors_city_tier_60_79`
313	`beam_competitors_city_tier_80_100`
314	`beam_competitors_city_competitive_strength`
315	`beam_competitors_city_underserved_score`
316	`beam_competitors_city_competition_intensity`
317	`beam_competitors_state_competitor_avg_sentiment_30d`
318	`beam_competitors_state_competitor_avg_sentiment_90d`
319	`beam_competitors_state_sentiment_diff_30d`
320	`beam_competitors_state_sentiment_diff_90d`
321	`beam_competitors_state_competitor_count`
322	`beam_competitors_state_total_in_state`
323	`beam_competitors_state_rank_by_score`
324	`beam_competitors_state_rank_by_rating`
325	`beam_competitors_state_rank_by_reviews`
326	`beam_competitors_state_score_percentile`
327	`beam_competitors_state_rating_percentile`
328	`beam_competitors_state_reviews_percentile`
329	`beam_competitors_state_health_percentile`
330	`beam_competitors_state_sentiment_percentile`
331	`beam_competitors_state_competitor_avg_score`
332	`beam_competitors_state_competitor_avg_rating`
333	`beam_competitors_state_competitor_avg_reviews`
334	`beam_competitors_state_competitor_avg_health`
335	`beam_competitors_state_competitor_avg_sentiment`
336	`beam_competitors_state_score_diff`
337	`beam_competitors_state_rating_diff`
338	`beam_competitors_state_reviews_diff`
339	`beam_competitors_state_health_diff`
340	`beam_competitors_state_sentiment_diff`
341	`beam_competitors_state_market_type`
342	`beam_competitors_state_review_share`
343	`beam_competitors_state_density_per_sqkm`
344	`beam_competitors_state_underserved_score`
345	`beam_competitors_state_competition_intensity`
346	`beam_competitors_state_competitive_strength`
347	`beam_competitors_country_competitor_avg_sentiment_30d`
348	`beam_competitors_country_competitor_avg_sentiment_90d`
349	`beam_competitors_country_sentiment_diff_30d`
350	`beam_competitors_country_sentiment_diff_90d`
351	`beam_competitors_country_competitor_count`
352	`beam_competitors_country_competitor_avg_score`
353	`beam_competitors_country_competitor_avg_rating`
354	`beam_competitors_country_competitor_avg_reviews`
355	`beam_competitors_country_competitor_avg_health`
356	`beam_competitors_country_competitor_avg_sentiment`
357	`beam_competitors_country_score_diff`
358	`beam_competitors_country_rating_diff`
359	`beam_competitors_country_reviews_diff`
360	`beam_competitors_country_sentiment_diff`
361	`beam_competitors_country_score_percentile`
362	`beam_competitors_country_rating_percentile`
363	`beam_competitors_country_reviews_percentile`
364	`beam_competitors_country_health_percentile`
365	`beam_competitors_country_sentiment_percentile`
366	`beam_competitors_country_rank_by_score`
367	`beam_competitors_country_competitive_strength`
368	`beam_competitors_country_health_diff`
369	`beam_competitors_country_rank_by_rating`
370	`beam_competitors_country_rank_by_reviews`
371	`beam_competitors_country_tier_40_59`
372	`beam_competitors_country_tier_60_79`
373	`beam_competitors_country_tier_80_100`
374	`beam_competitors_country_tier_below_40`
375	`beam_competitors_country_total_in_country`
376	`beam_competitors_city_siblings_competitor_count`
377	`beam_competitors_city_siblings_competitor_avg_score`
378	`beam_competitors_city_siblings_competitor_avg_rating`
379	`beam_competitors_city_siblings_competitor_avg_reviews`
380	`beam_competitors_city_siblings_competitor_avg_health`
381	`beam_competitors_city_siblings_competitor_avg_sentiment`
382	`beam_competitors_city_siblings_score_diff`
383	`beam_competitors_city_siblings_rating_diff`
384	`beam_competitors_city_siblings_reviews_diff`
385	`beam_competitors_city_siblings_sentiment_diff`
386	`beam_competitors_city_siblings_score_percentile`
387	`beam_competitors_city_siblings_rating_percentile`
388	`beam_competitors_city_siblings_reviews_percentile`
389	`beam_competitors_city_siblings_health_percentile`
390	`beam_competitors_city_siblings_sentiment_percentile`
391	`beam_competitors_city_siblings_rank_by_score`
392	`beam_competitors_city_siblings_competitor_avg_recommend_pct`
393	`beam_competitors_city_siblings_recommend_pct_diff`
394	`beam_competitors_city_siblings_recommend_pct_percentile`
395	`beam_competitors_city_siblings_total_siblings`
396	`beam_competitors_city_businesses_per_10k_pop`
397	`beam_competitors_city_population_per_business`
398	`beam_competitors_city_population_density`
399	`beam_competitors_city_reviews_per_capita`
400	`beam_competitors_city_reviews_per_10k_pop`
401	`beam_competitors_state_businesses_per_10k_pop`
402	`beam_competitors_state_population_per_business`
403	`beam_competitors_state_population_density`
404	`beam_competitors_state_reviews_per_capita`
405	`beam_competitors_state_reviews_per_10k_pop`
406	`beam_competitors_1km_hhi_contribution`
407	`beam_competitors_1km_hhi_minimum`
408	`beam_competitors_5km_hhi_contribution`
409	`beam_competitors_5km_hhi_minimum`
410	`beam_competitors_10km_hhi_contribution`
411	`beam_competitors_10km_hhi_minimum`
412	`beam_competitors_city_hhi_contribution`
413	`beam_competitors_city_hhi_minimum`
414	`beam_competitors_state_hhi_contribution`
415	`beam_competitors_state_hhi_minimum`
416	`beam_trends_score_30d_beam_score_overall`
417	`beam_trends_score_30d_rating`
418	`beam_trends_score_30d_review_count`
419	`beam_trends_score_30d_beam_rating_health`
420	`beam_trends_score_30d_beam_popularity_percentile`
421	`beam_trends_score_90d_beam_score_overall`
422	`beam_trends_score_90d_rating`
423	`beam_trends_score_90d_review_count`
424	`beam_trends_score_90d_beam_rating_health`
425	`beam_trends_score_90d_beam_popularity_percentile`
426	`beam_trends_competitive_1km_30d_strength_change`
427	`beam_trends_competitive_1km_30d_rank_change`
428	`beam_trends_competitive_1km_30d_percentile_change`
429	`beam_trends_competitive_1km_90d_strength_change`
430	`beam_trends_competitive_1km_90d_rank_change`
431	`beam_trends_competitive_1km_90d_percentile_change`
432	`beam_trends_competitive_5km_30d_strength_change`
433	`beam_trends_competitive_5km_30d_rank_change`
434	`beam_trends_competitive_5km_30d_percentile_change`
435	`beam_trends_competitive_5km_90d_strength_change`
436	`beam_trends_competitive_5km_90d_rank_change`
437	`beam_trends_competitive_5km_90d_percentile_change`
438	`beam_trends_competitive_10km_30d_strength_change`
439	`beam_trends_competitive_10km_30d_rank_change`
440	`beam_trends_competitive_10km_30d_percentile_change`
441	`beam_trends_competitive_10km_90d_strength_change`
442	`beam_trends_competitive_10km_90d_rank_change`
443	`beam_trends_competitive_10km_90d_percentile_change`
444	`beam_trends_competitive_city_30d_strength_change`
445	`beam_trends_competitive_city_30d_rank_change`
446	`beam_trends_competitive_city_30d_percentile_change`
447	`beam_trends_competitive_city_90d_strength_change`
448	`beam_trends_competitive_city_90d_rank_change`
449	`beam_trends_competitive_city_90d_percentile_change`
450	`beam_trends_competitive_state_30d_strength_change`
451	`beam_trends_competitive_state_30d_rank_change`
452	`beam_trends_competitive_state_30d_percentile_change`
453	`beam_trends_competitive_state_90d_strength_change`
454	`beam_trends_competitive_state_90d_rank_change`
455	`beam_trends_competitive_state_90d_percentile_change`
456	`beam_trends_sentiment_current_sentiment`
457	`beam_trends_sentiment_positive_ratio`
458	`beam_trends_sentiment_negative_ratio`
459	`beam_trends_sentiment_review_count`
460	`beam_trends_velocity_reviews_per_day`
461	`beam_trends_velocity_reviews_per_month`
462	`beam_trends_velocity_percentile_city`
463	`beam_trends_velocity_percentile_state`
464	`beam_trends_velocity_trend`
465	`beam_velocity_reviews_per_day`
466	`beam_velocity_reviews_per_week`
467	`beam_velocity_reviews_per_month`
468	`beam_velocity_reviews_last_30d`
469	`beam_velocity_reviews_last_90d`
470	`beam_velocity_reviews_last_365d`
471	`beam_velocity_percentile_1km`
472	`beam_velocity_percentile_5km`
473	`beam_velocity_percentile_10km`
474	`beam_velocity_percentile_city`
475	`beam_velocity_percentile_state`
476	`beam_velocity_rank_1km`
477	`beam_velocity_rank_5km`
478	`beam_velocity_rank_10km`
479	`beam_velocity_rank_city`
480	`beam_velocity_rank_state`
481	`beam_velocity_trend`
482	`beam_velocity_change_30d`
483	`beam_velocity_change_90d`
484	`beam_trends_sentiment_recommend_pct`

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/top-30-active-restaurant-review-whales-in-hawaii-us-118291")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 820 records and unmasked contact data is available at:

Top 30% Active Restaurant Review Whales in Hawaii, US on BeamStation

License

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

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