Datasets:

beamstation
/

top-50-restaurant-category-dominators-in-texas-us-722896

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 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	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 string	social_username_youtube string	social_profile_github float64	social_username_github float64	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest float64	social_username_pinterest float64	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	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max 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_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	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_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_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
Y2WKTDFV	The Original Ninfa's on Navigation	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Restaurant, Tex-Mex restaurant	2704 Navigation Blvd, Houston, TX 77003	2704 Navigation Blvd	Houston	Texas	Second Ward	Second Ward	77,003	US	true	29.75691	-95.342536	America/Chicago	(713) 22-***	2	null	true	Houston	Texas	US	http	http://ninfas.com	ninfas.com	ninfas.com	com	10,631	1997-02-20	2026-10-24	GoDaddy.com, LLC	purchase_dataset@ninfas.com, purchase_dataset@ninfas.com, purchase_dataset@rachelaustinpr.com	realdomain	3	1	2	Longtime casual spot with covered outdoor seating serving fajitas, margaritas & other Mexican fare.	4.36	6,098	{"1": 328, "2": 297, "3": 701, "4": 1515, "5": 5601}	Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great cocktails, Serves local specialty	Breakfast, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible seating	Alcohol, Happy hour food, Late-night food, Organic dishes, Private dining room, Salad bar, Small plates	Breakfast, Seating	Bar onsite, Gender-neutral restroom	Casual, Cozy, Historic, Trendy	College students, Groups, Tourists	Reservations required, Usually a wait	NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/ninfasoriginal	ninfasoriginal	https://www.facebook.com/theoriginalninfas/about	theoriginalninfas	https://twitter.com/ninfasoriginal	ninfasoriginal	null	null	null	null	https://www.youtube.com/channel/uccpik-lbnk8kyh9lwx13usa	uccpik-lbnk8kyh9lwx13usa	null	null	null	null	null	null	12,034	0.45	null	0.42	0.45	0.45	2,332	null	null	null	null	null	null	null	null	null	null	null	null	https://ninfas.com/menu/lunch-dinner	https://fooddiscoveryapp.com/houston/the-original-ninfas-on-navigation	https://fooddiscoveryapp.com/houston/the-original-ninfas-on-navigation	2026-03-24T04:55:50.782655+00:00	0.52	100	0	783.56	8.9	76.284	2.66	87.2	100	82.9	0.6546	null	0.6248	0.6648	0.6721	0.4353	0.9311	0.8452	81.2	83.6	null	null	null	82.93	17.07	83.69	14.89	1.42	83.58	14.37	2.05	stable	stable	null	-2.4	-0.0473	-2.9	41	141	341	80.8	61.2	48	100	81.5	94	3	11,670	3	19	59,016	21	113	675,464	163	117	3	545,678	35	351,424	35,075	101	33,224	69,747	101	41,293	22	13,970	25,215	70,643	129,673	724,238	1,424,284	724,238	0.887	0.2786	0.6356	-0.2786	0.03	0.3593	0.256	0.2865	-0.256	0.3791	0.9345	0.3326	0.694	-0.3326	-0.0284	100	34	100	545,678	481,631	351,424	0.2549	0.3365	0.5214	0.395	0.4353	61.3	3.86	433	75.6	0.466	16.7	0.5	5,636	7.3	0.1887	35,075	71,330	33,224	0.9486	0.8948	0.9555	0.8917	0.9311	80.6	4.49	1,430	87.3	0.7107	-2.6	-0.13	4,639	-4.4	-0.056	69,747	121,580	41,293	0.8979	Below Average	0.8155	0.9441	0.8132	0.8452	Market Leader	80.8	4.49	1,512	87.4	Market Leader	0.7066	-2.8	-0.13	4,557	-4.5	-0.0519	35	101	101	603	121	competitive	0.2921	10.82	14.7	29.4	41.2	14.7	3,336	1,214	competitive	0.0407	1.27	0	39	61	7,346	5,211	competitive	0.0386	0.32	43	57	0.1792	0.7895	-0.1792	-0.1239	100	101	1,790	7,717	3	0.8844	0.5053	0.9998	0.563	0.6682	83.5	4.71	1,798	93.1	0.8174	-5.5	-0.35	4,271	-10.2	-0.1627	competitive	0.0327	0.06	18	82	0.8053	2.75	0.36	0.0833	0.8995	-0.0833	-0.2339	100	101	9,849	38,061	21	0.8779	0.5289	0.9997	0.5688	0.6597	85.8	4.83	2,577	96	0.8746	-7.8	-0.47	3,492	-13.1	-0.2199	competitive	0.023	0.0001	1	0.03	0.8097	0.2094	0.3682	-0.2094	0.2974	828,388	62.9	3.88	394	76.6	0.4737	15.1	0.48	5,675	0.181	0.8724	0.5092	0.9998	0.55	0.6559	103,463	0.8017	6.3	399,521	135	24.3	58.7	7.7	9.2	828,389	11,458	60.8	4.25	378	77.7	0.4771	17.2	0.11	5,691	0.1776	0.8775	0.4622	0.9998	0.5273	0.6427	1,386	58.84	23.29	0.5966	11,458	0.43	23,046	1,324	0.078	780.05	0.03	291,455	42	0.0088	88.42	853.07	285.71	16.57	99.01	14.89	99.01	10.67	99.01	5.29	99.01	-8.7	28	0	-38.8	null	null	null	null	null	-0.01	12,476	-0.016	0.36	545,677	0.255	0.01	-22,056	0.028	0.93	35,070	0.949	-0.01	10,414	-0.015	0.89	69,740	0.898	-0.12	-31,669	-0.056	0.81	1,790	0.884	-0.03	-45,118	0.044	0.81	9,849	0.878	0.6547	null	null	6,069	1.2	36	0.99	0.988	stable	1.2	8.4	36	36	125	417	0.985	0.986	0.986	0.99	0.988	13,427	13,922	13,897	18	98	stable	0	null	82.13
LLXQ4J4G	1618 Asian Fusion	Food and Drink	Restaurants	Asian fusion restaurant	Asian fusion restaurant	1618 E Riverside Dr, Austin, TX 78741	1618 E Riverside Dr	Austin	Texas	Riverside	Riverside	78,741	US	true	30.245403	-97.730469	America/Chicago	(737) 33-***	2	null	true	Austin	Texas	US	https	https://1618asianfusion.com	1618asianfusion.com	1618asianfusion.com	com	2,744	2018-09-25	2026-09-25	Squarespace Domains II LLC	purchase_dataset@1618lakeside.com, purchase_dataset@1618lakeside.com	null	2	2	0	Cocktails & classic Asian fusion fare in a contemporary restaurant with patio dining.	4.8	5,377	{"1": 87, "2": 57, "3": 119, "4": 402, "5": 5049}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great tea selection, Live music, Serves local specialty	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, Private dining room, Small plates, Vegan options, Vegetarian options, Wine	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	Family-friendly, Groups, Tourists	Brunch reservations recommended, Lunch reservations recommended, 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	null	null	https://www.facebook.com/1618asianfusion	1618asianfusion	https://twitter.com/1618asian	1618asian	https://www.tiktok.com/@1618asianfusionatx	1618asianfusionatx	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	72	9	473	3.35	null	null	null	null	https://1618asianfusion.com/menu	https://google.com/maps/reserve/v/dine/c/m_pkycykqpc?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/m_pkycykqpc?source=pa&opi=79508299	2026-03-20T12:35:55.082114+00:00	0.01	28.24	0.2	1,932.24	28.1	90.583	1.12	96	100	95.3	0.7443	null	0.9264	0.8418	0.8068	0.4847	0.9516	0.8703	96.3	90.3	null	null	null	96.36	3.64	97.65	1.31	1.04	96.58	1.93	1.49	stable	improving	null	6	0.1196	6.6	55	383	1,344	85.6	48.6	76	100	86.3	86	5	1,368	5	28	20,295	30	175	211,171	246	181	5	537,462	41	292,277	41,692	101	20,427	114,589	101	138,972	9	3,879	7,344	70,643	129,673	724,238	1,424,284	724,238	0.8276	0.3425	0.6833	-0.3425	0.2108	0.391	0.1875	0.2868	-0.1875	0.6073	0.9516	0.2065	0.7117	-0.2065	0.1824	100	40	100	537,462	473,358	292,277	0.2657	0.347	0.6019	0.4409	0.4847	61.5	3.87	473	76.4	0.4802	24.7	0.93	4,904	18.9	0.2628	41,692	35,755	20,427	0.94	0.9461	0.9726	0.9389	0.9516	80.4	4.55	1,608	88.7	0.7253	5.8	0.25	3,769	6.6	0.0177	114,589	107,785	138,972	0.8331	Below Average	0.8361	0.8119	0.8215	0.8703	Market Leader	80.2	4.5	1,199	87.5	Market Leader	0.7134	6	0.3	4,178	7.8	0.0296	41	101	101	470	88	competitive	0.2211	12.73	10	25	62.5	2.5	2,755	1,031	competitive	0.0324	1.27	0	41	59	7,328	5,006	competitive	0.0429	0.32	46	54	0.1991	0.752	-0.1991	0.1421	100	101	43	983	5	0.991	0.7812	0.9991	0.8531	0.7359	82	4.63	1,798	90.9	0.7621	4.2	0.17	3,579	4.4	-0.0191	competitive	0.029	0.12	30	70	0.9305	1.15	0.85	0.0833	0.8995	-0.0833	-0.0054	100	101	443	14,548	30	0.9944	0.8188	0.9996	0.8797	0.7881	85.8	4.83	2,577	96	0.8746	0.4	-0.03	2,800	-0.7	-0.1316	competitive	0.0204	0.0001	1	0.03	0.9433	0.2094	0.3682	-0.2094	0.5259	828,388	62.9	3.88	394	76.6	0.4737	23.3	0.92	4,983	0.2693	0.9955	0.8294	0.9998	0.895	0.7875	3,517	0.947	18.7	137,595	203	24.3	58.7	7.7	9.2	828,389	3,396	63.3	4.33	405	79.8	0.5218	22.9	0.47	4,972	0.2212	0.9923	0.7579	0.9988	0.8465	0.7346	27	60.82	1.8	0.362	3,396	1.04	9,619	1,115	0.187	1,869.61	0.03	291,455	42	0.0088	88.42	489.03	243.9	10.47	99.01	18.42	99.01	8.43	99.01	4.18	99.01	-0.7	93	0	-51.4	null	null	null	null	null	-0.04	95,319	-0.128	0.39	537,461	0.266	-0.01	20,807	-0.028	0.95	41,690	0.94	0.01	-15,273	0.017	0.83	114,586	0.833	0.03	-74,480	0.087	0.93	43	0.991	0.08	-54,524	0.16	0.94	443	0.994	0.743	null	null	5,307	0.8	24	1	0.936	decelerating	0.8	5.6	24	24	108	1,579	0.973	0.974	0.974	1	0.936	24,064	24,962	24,958	1	12	decelerating	-0.87	null	62.62
XVXWS72B	Kona Grill - El Paso	Food and Drink	Restaurants	American restaurant	American restaurant, Bar, Bar & grill, Cocktail bar, Restaurant, Seafood restaurant, Steak house, Sushi restaurant	8889 Gateway Blvd W #1740, El Paso, TX 79925	8889 Gateway Blvd W #1740	El Paso	Texas	East El Paso	Cielo Vista	79,925	US	true	31.769966	-106.372496	America/Denver	(915) 24-***	2	null	true	El Paso	Texas	US	https	https://konagrill.com/locations?locations=el-paso%2C79925	konagrill.com/locations?locations=el-paso%2C79925	konagrill.com	com	10,085	1998-08-20	2030-08-19	Network Solutions, LLC	purchase_dataset@konagrill.com, purchase_dataset@konagrill.com, purchase_dataset@konagrill.com, purchase_dataset@konagrill.com, purchase_dataset@konagrill.com, purchase_dataset@konagrill.com, purchase_dataset@konagrill.com, purchase_dataset@konagrill.com, purchase_dataset@konagrill.com, purchase_dataset@konagrill.com, ...	realdomain	22	22	0	Sleek chain with a broad New American menu including low-calorie options, plus sushi & cocktails.	4.53	5,023	{"1": 258, "2": 159, "3": 253, "4": 647, "5": 4340}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Fireplace, Great beer selection, Great cocktails, Great dessert, Great tea selection, Great wine list, 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, Organic dishes, Quick bite, Small plates, Vegetarian options, Wine	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists	Brunch reservations recommended, Dinner reservations recommended, Accepts reservations	Checks, Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/konagrill	konagrill	https://www.facebook.com/konagrill	konagrill	https://twitter.com/konagrill	konagrill	https://www.tiktok.com/@kona.grill	kona.grill	https://www.linkedin.com/company/kona-grill	kona-grill	null	null	null	null	null	null	null	null	46,249	0.95	null	0.72	0.96	0.95	2,374	null	null	null	null	7,465	113	18,700	0.82	3.07	0.69	0.81	0.81	https://places.singleplatform.com/kona-grill--4/menu	https://opentable.com/restaurant/profile/146077	https://opentable.com/restaurant/profile/146077	2026-03-17T22:44:00.725954+00:00	6.81	22.22	0	2,164.37	23.2	99.9011	0.78	90.6	100	88.1	0.7581	null	0.5803	0.7867	0.8649	0.4311	0.3048	0.4106	79	93.2	null	null	null	76.83	23.17	88.74	10.59	0.68	93.46	6.13	0.41	stable	declining	null	-14.2	-0.2846	-15.2	82	444	1,467	81.9	49.1	68	100	82.2	82	4	1,185	5	38	42,117	40	217	475,082	293	226	4	360,291	68	54,809	353,397	101	81,336	320,563	98	200,929	18	2,340	4,407	70,643	129,673	724,238	1,424,284	724,238	0.5715	0.3843	0.6096	-0.3843	-0.0243	0.61	0.1931	0.3424	-0.1931	0.2429	0.5608	0.2983	0.4264	-0.2983	0.1589	97	67	100	360,291	407,293	54,809	0.5038	0.4362	0.9252	0.3677	0.4311	65	3.95	748	75.1	0.4648	17.6	0.58	4,275	13	0.2831	353,397	526,974	81,336	0.5218	0.2827	0.891	0.2273	0.3048	73.8	4.12	1,146	76.8	0.5205	8.8	0.41	3,877	11.3	0.2274	320,563	408,207	200,929	0.5591	Average	0.4314	0.7281	0.4414	0.4106	Average	77.6	4.31	1,092	82.6	Average	0.6037	5	0.22	3,931	5.5	0.1442	68	101	98	597	79	competitive	0.0911	21.33	7.5	22.4	61.2	9	3,335	1,000	competitive	0.042	1.27	1	86	13	7,799	5,074	competitive	0.0453	0.31	71.1	28.9	0.3797	0.6429	-0.3797	-0.0576	100	101	41	1,394	4	0.9887	0.6357	0.999	0.6984	0.8248	79.4	4.44	1,455	86	0.6829	3.2	0.09	3,568	2.1	0.065	competitive	0.0334	0.15	50	50	0.8859	0.81	1.17	0.0833	0.8995	-0.0833	-0.3142	100	101	2,514	26,985	40	0.9685	0.6645	0.9995	0.7218	0.795	85.8	4.83	2,577	96	0.8746	-3.2	-0.3	2,446	-7.9	-0.1267	competitive	0.0191	0.0001	1	0.03	0.8866	0.2094	0.3682	-0.2094	0.2171	828,388	62.9	3.88	394	76.6	0.4737	19.7	0.65	4,629	0.2742	0.9693	0.6587	0.9997	0.7138	0.7946	24,326	0.8853	11.5	275,911	247	24.3	58.7	7.7	9.2	828,389	2,524	58.8	4.24	367	77.7	0.4629	23.8	0.29	4,656	0.285	0.9901	0.6278	0.9988	0.6976	0.8264	26	57.07	31.01	0.7967	2,524	1.47	6,788	1,011	0.2144	2,144	0.03	291,455	42	0.0088	88.42	83.05	147.06	17.64	99.01	20.48	102.04	11.13	99.01	3.66	99.01	-5.3	83	-0.1	-50.9	null	null	null	null	null	-0.07	109,982	-0.15	0.61	360,290	0.504	-0.06	103,622	-0.139	0.56	353,396	0.522	-0.05	75,706	-0.102	0.57	320,562	0.559	0.16	-219,936	0.26	0.89	41	0.989	0.05	-52,453	0.134	0.89	2,514	0.969	0.7479	null	null	4,961	0.87	26	0.857	0.934	decelerating	0.87	6.07	26	26	158	1,588	0.976	0.977	0.977	0.857	0.934	21,458	22,257	22,246	6	101	decelerating	-1.83	null	88.08

Top 50 Restaurant Category Dominators in Texas, US

Free sample dataset from BeamStation

--Defensible Leaders--

This dataset lists the 30 highest‑volume restaurant establishments in Texas, identified through a state‑ranking approach that highlights the biggest players by review volume. Each record represents a venue that has accumulated a substantial number of reviews, signaling strong consumer engagement and consistent patronage. Updated weekly, the list provides a current snapshot of which restaurants dominate the Texas dining scene in terms of sheer feedback quantity.

Researchers, market analysts, and food‑industry professionals can use this list to pinpoint where dining activity is most concentrated, benchmark competitor performance, or identify venues with robust customer feedback for further study. The focus on review volume makes it especially useful for sentiment analysis, trend detection, and understanding which establishments maintain a visible, ongoing presence in the market.

Access the dataset directly at https://beamstation.com/datasets/722896/ for the latest weekly refresh and detailed venue information.

Dataset Details

Field	Value
Full dataset	30 records
Sample size	3 records
Location	Texas
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-50-restaurant-category-dominators-in-texas-us-722896")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 30 records and unmasked contact data is available at:

Top 50 Restaurant Category Dominators in Texas, US on BeamStation

License

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

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