Datasets:

beamstation
/

tech-ready-restaurants-in-texas-us-130655

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place null	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github null	social_username_github null	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m null	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links null	reservation_link null	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_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category 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 float64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews float64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff float64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating float64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews float64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff float64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating float64	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 float64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff float64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius float64	beam_competitors_5km_total_in_radius float64	beam_competitors_10km_total_in_radius float64	beam_competitors_1km_avg_distance_m float64	beam_competitors_1km_closest_competitor_m float64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_5km_avg_distance_m float64	beam_competitors_5km_closest_competitor_m float64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_10km_avg_distance_m float64	beam_competitors_10km_closest_competitor_m float64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count float64	beam_competitors_city_total_in_city float64	beam_competitors_city_rank_by_score float64	beam_competitors_city_rank_by_rating float64	beam_competitors_city_rank_by_reviews float64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews float64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff float64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_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 float64	beam_competitors_state_total_in_state float64	beam_competitors_state_rank_by_score float64	beam_competitors_state_rank_by_rating float64	beam_competitors_state_rank_by_reviews float64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews float64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff float64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count float64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews float64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff float64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score float64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating float64	beam_competitors_country_rank_by_reviews float64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country float64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business float64	beam_competitors_city_population_density float64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business float64	beam_competitors_state_population_density float64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall null	beam_trends_score_90d_rating null	beam_trends_score_90d_review_count null	beam_trends_score_90d_beam_rating_health null	beam_trends_score_90d_beam_popularity_percentile null	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change float64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change float64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change float64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change float64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change float64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change float64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change float64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change float64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change float64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change float64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d null	beam_trends_sentiment_recommend_pct float64
DRPEEXS7	Wingstop	Food and Drink	Restaurants	Chicken wings restaurant	Chicken wings restaurant	6313 Wooldridge Rd Ste 1, Corpus Christi, TX 78414	6313 Wooldridge Rd Ste 1	Corpus Christi	Texas	South Side	South Side	78,414	US	true	27.684166	-97.365568	America/Chicago	(361) 90-***	2	null	true	true	null	true	Corpus Christi	Texas	US	https	https://wingstop.com/location/wingstop-149-corpus-christi-tx-78414/menu	wingstop.com/location/wingstop-149-corpus-christi-tx-78414/menu	wingstop.com	com	10,631	1997-03-01	2027-12-02	GoDaddy Corporate Domains, LLC	"purchase_dataset@broadridge.com, purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purc(...TRUNCATED)	realdomain	7	5	2	Casual counter-serve chain serving a variety of chicken wings & sides.	true	true	3.22	960	{"1": 289, "2": 88, "3": 99, "4": 190, "5": 810}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Quick bite, Small plates	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Trendy	College students, Family-friendly, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	7	2025-07-10	2026-03-06	273	34	100	273	273	34	34	https://www.instagram.com/wingstop	wingstop	https://www.facebook.com/wingstop	wingstop	https://twitter.com/wingstop	wingstop	https://www.tiktok.com/@wingstopcanada	wingstopcanada	https://www.linkedin.com/company/wingstop-restaurants-inc-	wingstop-restaurants-inc-	https://www.youtube.com/wingstop	wingstop	null	null	null	null	https://www.pinterest.com/wingstop	wingstop	764,945	1.58	null	0.28	0.48	1.58	792	111,200	498	810,500	1.25	null	0.52	0.67	1.25	https://wingstop.com/location/wingstop-149-corpus-christi-tx-78414/menu	null	null	2026-04-06T09:21:31.452757+00:00	240.62	1.2	0	3,172.65	35.7	407.2581	0.38	64.4	99.4	52.3	0.0468	0.9884	0.8055	0.5058	0.3689	0.3164	0.3069	0.0655	90.3	68.4	100	0	90.38	9.62	0	74.63	23.88	1.49	67	31	2	improving	improving	0.1829	21.9	0.4366	32	43	52	67	100	55.2	108	148.1	73.1	88.7	96	100	31.1	98	203	1,772	268	12,838	113,681	16,613	105,170	1,264,074	145,375	113,917	203	38,214	32	257,093	132,353	172	256,483	508,322	151	517,838	331	966	2,001	71,744	132,823	734,279	1,460,619	734,279	0.44	0.0028	0.1625	-0.0028	-0.7649	0.8539	0.043	0.1552	-0.043	-0.7576	0.7992	0.0152	0.2738	-0.0152	-0.8762	150	31	171	38,214	51,934	257,093	0.947	0.9288	0.6549	0.9061	0.3164	51	1.89	640	32.9	0.4312	1.8	-1.85	826	-32.5	-0.3844	132,353	68,818	256,483	0.8214	0.9073	0.6614	0.91	0.3069	52.1	1.99	1,081	32.7	0.5078	0.7	-1.95	385	-32.3	-0.461	508,322	199,452	517,838	0.3185	Market Leader	0.7315	0.3105	0.787	0.0655	Strong	47	1.42	784	26	Average	0.4072	5.8	-1.38	682	-25.6	-0.3604	32	172	151	655	53	competitive	0.0688	9.87	22.6	54.8	22.6	2,984	1,061	competitive	0.0079	2.18	14.6	55.6	29.8	7,709	5,017	competitive	0.0123	0.48	24	54	22	0	0.0267	0.4521	-0.0267	-1.0545	170	171	391	1,062	116	0.6504	0.0543	0.8977	0.0543	0.1655	61.4	2.71	1,482	39	0.613	-8.6	-2.67	-16	-38.6	-0.5662	competitive	0.0058	0.13	1.2	32.9	65.9	0	0.5457	0.27	3.28	0.0651	0.819	-0.0651	-1.4214	183	184	31,042	79,158	6,091	0.6297	0.0549	0.9277	0.0548	0.1723	66.7	3.1	3,858	30.7	0.841	-13.9	-3.06	-2,392	-30.3	-0.7942	competitive	0.0021	0.0003	0.67	0.04	0.5466	0.059	0.2307	-0.059	-0.8331	791,801	41.1	0.94	531	20.4	0.4595	11.7	-0.9	935	-0.4127	0.8176	0.1585	0.9101	0.1513	0.1736	143,019	0.6476	-20	648,854	71,077	44.5	8.8	46.7	791,802	94	55.9	3.95	571	18.6	0.3956	7.4	-1.15	389	-0.3482	0.5914	0.0323	0.6559	0.1613	0.1183	39	69.61	-11.92	0.1183	94	5.35	1,870	248	0.7925	7,925.24	0.06	159,265	42	0.0242	242.25	47.31	312.5	0.62	58.14	1.52	66.23	0.33	58.48	0.04	54.35	-12.1	-3.09	552	-49.6	40.2	null	null	null	null	null	0.25	-205,249	0.284	0.85	38,214	0.947	0.17	-128,921	0.177	0.8	132,353	0.821	0.16	-20,663	0.035	0.44	508,322	0.319	0.13	-242	0.221	0.55	391	0.65	0.11	-15,123	0.196	0.55	31,042	0.63	0.0468	null	null	960	8.23	247	1	1	accelerating	8.23	57.63	247	247	253	301	1	1	1	1	1	9	9	9	1	1	accelerating	8.13	null	57.22
EL9D2RBX	Wingstop	Food and Drink	Restaurants	Chicken wings restaurant	Chicken wings restaurant, Chicken restaurant, Restaurant	476 S Farm to Market 548 Ste 120, Forney, TX 75126	476 S Farm to Market 548 Ste 120	Forney	Texas	null	null	75,126	US	true	32.736254	-96.452155	America/Chicago	(469) 77-***	0	null	true	false	null	true	Forney	Texas	US	https	https://wingstop.com/location/wingstop-925-forney-tx-75126/menu	wingstop.com/location/wingstop-925-forney-tx-75126/menu	wingstop.com	com	10,631	1997-03-01	2027-12-02	GoDaddy Corporate Domains, LLC	"purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purcha(...TRUNCATED)	realdomain	8	6	2	null	true	false	4.25	313	{"1": 49, "2": 6, "3": 5, "4": 10, "5": 197}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Quick bite, Small plates	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual	College students, Family-friendly	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	6	2025-07-14	2026-03-09	269	31	92	269	269	31	31	https://www.instagram.com/wingstop	wingstop	https://www.facebook.com/wingstop	wingstop	https://twitter.com/wingstop	wingstop	https://www.tiktok.com/@wingstop	wingstop	https://www.linkedin.com/company/wingstop-restaurants-inc-	wingstop-restaurants-inc-	https://www.youtube.com/wingstop	wingstop	null	null	null	null	null	null	764,945	1.58	null	0.28	0.48	1.58	792	978,900	683	7,700,000	1.94	null	3.36	2.67	1.94	https://wingstop.com/location/wingstop-925-forney-tx-75126/menu	null	null	2026-04-06T09:05:10.327157+00:00	3,810.49	2.53	0	22,489.94	505.2	177.193	0.03	85	83.2	80.8	0.5453	0.8178	0.8567	0.774	0.6606	0.804	0.0875	0.0875	92.8	83	97.01	2.99	97.3	2.25	0.45	92.95	6.64	0.41	86.84	12.78	0.38	stable	improving	-0.0389	9.8	0.1961	11.8	67	222	241	266	84.2	233.8	-9.5	84.9	82.8	88	83	87.2	98	60	105	72	32,997	69,860	46,950	313,994	797,286	482,458	336,181	60	104,887	11	581,869	469,250	111	575,839	703,665	37	729,069	267	124	200	71,744	132,823	734,279	1,460,619	734,279	0.2081	0.047	0.1677	0.7664	0.6563	0.6398	0.4038	0.4662	0.4096	0.3578	0.4349	0.0372	0.1908	0.7762	0.6332	36	10	110	104,887	167,845	581,869	0.8558	0.7716	0.2201	0.871	0.804	47.8	1.32	305	30.3	0.5899	28.9	1.46	-42	35.5	-0.0446	469,250	218,083	575,839	0.3751	0.7091	0.2404	0.767	0.0875	45.4	1.29	539	25.1	0.4126	31.3	1.49	-276	40.7	0.1327	703,665	311,720	729,069	0.0624	Average	0.5807	0.0297	0.787	0.0875	Average	37.8	1.01	131	26	Below Average	0.43	38.9	1.77	132	39.8	0.1153	11	111	37	360	0	moderate	0.0794	3.18	30	50	20	2,528	1,114	competitive	0.0044	1.4	35.5	48.2	16.4	7,119	5,007	competitive	0.0529	0.11	61.1	25	13.9	0	0.0898	0.2556	0.7236	0.5684	117	118	2	38	68	0.9862	0.7379	0.531	0.8897	0.5793	47	1.39	546	27.2	0.4556	29.7	1.39	-283	38.6	0.0897	competitive	0.0041	2.84	30.8	50.4	18.8	0	0.7752	0.03	23.44	0.0598	0.8187	0.7536	0.0053	183	184	1,724	33,264	24,849	0.9791	0.6045	0.705	0.8773	0.5834	66.7	3.1	3,871	30.5	0.8404	10	-0.32	-3,608	35.3	-0.2951	competitive	0.0004	0.0003	0.67	0.04	0.7845	0.059	0.2307	0.7544	0.5933	791,801	41.1	0.94	531	20.4	0.4595	35.6	1.84	-268	0.0858	0.9987	0.7602	0.5351	0.9547	0.5278	984	0.7881	45.4	188,774	367,466	44.5	8.8	46.7	791,802	104	57.6	4.1	400	29	0.5026	23.7	0.73	-87	-0.3331	0.9612	0.7379	0.5534	0.7573	0.1359	4	66.91	-24.8	0.1845	104	49.88	200	570	2.7259	27,259.01	0.06	159,265	42	0.0243	243.04	63.09	909.09	0.2	90.09	28.03	270.27	0.17	84.75	0	54.35	12.9	-0.9	92	-0.3	46	null	null	null	null	null	0.2	-190,694	0.264	0.64	104,887	0.856	0.18	-91,612	0.129	0.43	469,250	0.375	0.18	-19,513	0.038	0.21	703,665	0.062	0.48	-98	0.688	0.78	2	0.986	0.44	-47,121	0.578	0.78	1,724	0.979	0.5453	97.56	2.44	313	3.33	100	1	0.998	accelerating	3.33	23.33	100	100	178	224	1	1	1	1	0.998	317	322	323	1	3	accelerating	0.76	null	77.78
MW7AWY5T	Wingstop	Food and Drink	Restaurants	Chicken wings restaurant	Chicken wings restaurant	5415 S Cooper St Ste 113, Arlington, TX 76017	5415 S Cooper St Ste 113	Arlington	Texas	Southeast Arlington	Southeast	76,017	US	true	32.659042	-97.132174	America/Chicago	(817) 55-***	2	null	true	true	null	true	Arlington	Texas	US	https	https://wingstop.com/location/wingstop-953-arlington-tx-76017/menu	wingstop.com/location/wingstop-953-arlington-tx-76017/menu	wingstop.com	com	10,631	1997-03-01	2027-12-02	GoDaddy Corporate Domains, LLC	"purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purcha(...TRUNCATED)	realdomain	9	7	2	Casual counter-serve chain serving a variety of chicken wings & sides.	true	true	3.25	832	{"1": 263, "2": 53, "3": 65, "4": 113, "5": 386}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Quick bite, Small plates	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Trendy	College students, Family-friendly, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	true	purchase_dataset@	true	true	7	2025-07-14	2026-03-09	269	31	92	269	269	31	31	https://www.instagram.com/wingstop	wingstop	https://www.facebook.com/wingstop	wingstop	https://twitter.com/wingstop	wingstop	https://www.tiktok.com/@wingstop	wingstop	https://www.linkedin.com/company/wingstop-restaurants-inc-	wingstop-restaurants-inc-	https://www.youtube.com/wingstop	wingstop	null	null	null	null	https://www.pinterest.com/wingstop	wingstop	764,945	1.58	null	0.28	0.48	1.58	792	978,900	683	7,700,000	1.94	null	3.36	2.67	1.94	https://wingstop.com/location/wingstop-953-arlington-tx-76017/menu	null	null	2026-04-06T09:04:04.877972+00:00	227.1	0.98	0	2,851.02	29.2	65.97	0.47	65	97.4	54.1	0.0778	0.701	0.6628	0.4894	0.3075	0.083	0.2273	0.3966	83.1	65.4	90.7	9.3	87.5	12.5	0	77.61	22.39	0	67.02	30.85	2.13	stable	improving	0.0382	17.7	0.3553	27.1	43	48	67	94	43.3	104.3	168.8	78.5	77.8	96	100	76.3	98	313	1,752	398	15,660	113,206	20,455	131,732	1,259,356	183,560	141,958	313	36,911	44	156,305	48,637	153	103,029	19,775	172	265,281	330	982	2,096	71,744	132,823	734,279	1,460,619	734,279	0.8764	0.0339	0.4143	0.6384	0.2485	0.9076	0.0407	0.0637	0.6316	0.5991	0.9277	0.0184	0.298	0.6539	0.3648	171	43	152	36,911	21,965	156,305	0.9489	0.9699	0.7902	0.9416	0.083	51.1	2.24	803	36.6	0.3155	8.4	-1.94	57	-31.3	-0.2377	48,637	12,684	103,029	0.9343	0.9827	0.8639	0.91	0.2273	56.3	2.54	1,549	32.7	0.4817	3.2	-2.24	-689	-27.4	-0.4039	19,775	15,932	265,281	0.9724	Market Leader	0.9783	0.6464	0.9673	0.3966	Market Leader	61	2.7	1,350	39	Market Leader	0.5848	-1.5	-2.4	-490	-33.7	-0.507	44	153	172	598	11	competitive	0.0243	13.69	16.3	55.8	27.9	2,895	1,041	competitive	0.0036	1.94	11.8	40.8	47.4	7,314	5,080	competitive	0.0037	0.54	0.6	38	61.4	0	0.0445	0.4859	0.6278	0.1769	164	165	307	844	304	0.733	0.2713	0.7382	0.2412	0.1843	63.9	3.1	1,649	41.7	0.6248	-4.4	-2.8	-789	-36.4	-0.547	competitive	0.0032	0.64	0.6	24.4	75	0	0.596	0.35	2.66	0.0648	0.8193	0.6075	-0.1565	184	185	19,432	69,947	12,824	0.7682	0.1698	0.8478	0.1725	0.1916	66.8	3.1	3,847	30.8	0.8401	-7.3	-2.8	-2,987	-25.5	-0.7623	competitive	0.0012	0.0003	0.66	0.04	0.6125	0.059	0.2307	0.6133	0.4321	791,801	41.1	0.94	531	20.4	0.4595	18.4	-0.64	329	-0.3817	0.9071	0.5293	0.8096	0.5353	0.1826	72,749	0.7645	-15.1	370,595	150,575	44.5	8.8	46.7	791,802	858	56.8	4	506	38.8	0.4693	8.1	0.26	326	-0.43	0.6103	0.4714	0.6896	0.2602	0.1412	332	64.5	-6.19	0.2719	858	4.16	2,404	1,531	0.686	6,860.19	0.06	158,399	42	0.0243	242.84	5.91	227.27	0.13	65.36	0.14	58.14	0.1	60.61	0.01	54.05	-7.7	-2.87	74	-46.9	42.7	null	null	null	null	null	0.47	-445,360	0.609	0.91	36,911	0.949	0.27	-169,288	0.232	0.93	48,637	0.934	0.29	-260,476	0.359	0.88	19,775	0.972	0.16	-250	0.22	0.6	307	0.733	0.16	-20,573	0.26	0.61	19,432	0.768	0.0778	88.64	11.36	832	1.53	46	1	0.987	accelerating	1.53	10.73	46	46	48	89	0.998	0.998	0.998	1	0.987	1,676	1,737	1,743	1	13	accelerating	1.46	null	60.46
GLG8R7LS	Meat & Bread	Food and Drink	Restaurants	Sandwich shop	Sandwich shop	360 Nueces St STE 20, Austin, TX 78701	360 Nueces St STE 20	Austin	Texas	Market District	Downtown	78,701	US	true	30.267073	-97.749808	America/Chicago	(512) 33-***	2	null	true	true	null	true	Austin	Texas	US	http	http://meatandbread.com	meatandbread.com	meatandbread.com	com	5,047	2012-06-14	2026-06-14	GoDaddy.com, LLC	null	null	0	0	0	null	true	true	4.85	580	{"1": 3, "2": 2, "3": 19, "4": 28, "5": 527}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Comfort food, Healthy options, Quick bite, Vegetarian options, Wine	Breakfast, Lunch, Dinner, Catering, Counter service, Seating	Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	false	true	purchase_dataset@	true	true	5	2024-03-02	2026-02-13	768	55	89	768	768	55	55	https://www.instagram.com/meat_and_bread_nyc	meat_and_bread_nyc	https://www.facebook.com/meatandbreadnyc	meatandbreadnyc	https://twitter.com/1meatandbread	1meatandbread	https://www.tiktok.com/@meat.and.bread	meat.and.bread	https://www.linkedin.com/company/meat-and-bread-ltd	meat-and-bread-ltd	null	null	null	null	null	null	null	null	3,490	1.59	null	null	null	null	187	365	85	1,710	2.26	null	1.45	1.63	2.26	https://meatandbread.com/northshore	null	null	2026-04-04T23:21:06.053573+00:00	0.36	12.64	0.1	1,892.69	17.3	90.583	1.15	97	92.1	95.7	0.9147	0.9851	0.9271	0.9626	0.8815	0.9207	0.8564	0.5784	96.4	94.1	100	0	94.44	2.78	2.78	97.3	1.35	1.35	92.09	4.32	3.6	improving	stable	0.058	2.3	0.0456	2.4	15	36	74	139	-2.7	3.6	25	87.6	71.3	80	67	96.1	96	1,170	1,153	1,802	22,860	17,427	30,727	203,099	178,596	293,579	217,514	1,170	24,143	154	19,970	40,941	174	87,227	19,775	170	161,990	33	3,899	7,450	71,744	132,823	734,279	1,460,619	734,279	0.9144	0.0941	0.5177	0.891	0.4073	0.9319	0.0914	0.4537	0.8937	0.4713	0.9058	0.0983	0.5754	0.8868	0.3496	169	153	173	24,143	114,319	19,970	0.9667	0.8441	0.9732	0.6877	0.9207	52.4	1.53	1,637	21.6	0.6631	3.8	-1.2	-1,058	-15	0.2516	40,941	92,982	87,227	0.9443	0.8752	0.8849	0.7944	0.8564	56.9	1.85	1,637	26.3	0.6865	-0.7	-1.52	-1,058	-19.7	0.2282	19,775	23,863	161,990	0.9724	Market Leader	0.9674	0.7841	0.9237	0.5784	Market Leader	61	2.55	1,630	34.1	Market Leader	0.6427	-4.8	-2.22	-1,051	-27.5	0.272	154	174	170	621	20	competitive	0.0023	48.7	11.1	60.1	28.8	2,844	1,017	competitive	0.002	2.2	0	60.1	39.9	7,328	5,004	competitive	0.0021	0.54	1.2	37.9	60.9	0	0.0628	0.6567	0.9223	0.2683	188	189	1,473	3,864	1,015	0.6862	0.1799	0.7842	0.1854	0.9633	62	2.55	2,526	30.5	0.7145	-5.8	-2.22	-1,947	-23.9	0.2002	competitive	0.0012	0.22	0.5	37.2	62.2	0	0.5637	0.74	1.21	0.0595	0.8192	0.9256	0.1058	184	185	24,735	69,720	17,207	0.7045	0.1724	0.7958	0.1786	0.9714	66.7	3.1	3,854	30.7	0.8408	-10.5	-2.77	-3,275	-24.1	0.0739	competitive	0.0008	0.0003	0.66	0.04	0.5723	0.059	0.2307	0.9261	0.6943	791,801	41.1	0.94	531	20.4	0.4595	15.1	-0.61	48	0.4552	0.8689	0.5373	0.7179	0.5513	0.9676	102,716	0.7241	-13.8	363,824	223,057	44.5	8.8	46.7	791,802	406	52.3	4.02	375	26.2	0.4688	19.8	0.93	189	0.4405	0.9012	0.6667	0.6914	0.3877	0.9333	37	63.44	32.75	0.9407	406	1.95	5,116	1,115	0.4937	4,936.5	0.06	158,399	42	0.0243	243.31	0.05	64.94	0.04	57.47	0.04	58.82	0.01	52.91	0.01	54.05	-27	-4.51	18	-88.9	14.6	null	null	null	null	null	-0.03	10,117	-0.013	0.93	24,143	0.967	-0.03	-10,108	0.018	0.91	40,941	0.944	0.1	-98,353	0.142	0.91	19,775	0.972	-0.26	1,158	-0.243	0.56	1,473	0.686	-0.26	21,386	-0.253	0.57	24,735	0.705	0.9147	100	0	580	0.57	17	0.982	0.995	accelerating	0.57	3.97	17	17	35	126	0.99	0.99	0.99	0.982	0.995	8,606	8,948	8,961	2	15	accelerating	0.2	null	95.85
4YV5X76N	Torchy's Tacos	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	2224 W University Dr, Denton, TX 76201	2224 W University Dr	Denton	Texas	null	null	76,201	US	true	33.230225	-97.160484	America/Chicago	(940) 99-***	2	OPERATIONAL	true	true	null	true	Denton	Texas	US	https	https://torchystacos.com	torchystacos.com	torchystacos.com	com	7,015	2007-01-24	2031-01-24	GoDaddy.com, LLC	null	null	0	0	0	"Buzzy chain serving Mexican street-food-style tacos in inventive varieties, including for breakfast(...TRUNCATED)	true	true	4.51	1,084	{"1": 82, "2": 69, "3": 149, "4": 378, "5": 2009}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Sports	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Late-night food, Qu(...TRUNCATED)	Breakfast, Lunch, Dinner, Catering, Counter service, Dessert, Seating	Bar onsite, Restroom	Casual, Trendy	College students, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-04T21:57:17.797732+00:00	0	4.6	3.8	12,708.61	583.1	289.6175	0.13	90.2	100	86.8	0.7467	0.8313	0.9376	0.9231	0.908	0.244	0.0938	0.0347	96.9	95.4	91.67	8.33	97.26	2.74	0	96.08	3.92	0	94.79	4.27	0.95	declining	stable	-0.1063	1.5	0.0296	1.6	12	73	204	422	-28.4	-30.8	-50.7	75.6	59.3	0	67	94	96	28	166	33	5,811	44,146	6,955	50,906	498,783	65,000	54,841	28	255,556	44	131,076	428,453	157	519,773	617,821	125	507,174	180	358	538	71,744	132,823	734,279	1,460,619	734,279	0.3142	0.1123	0.2316	0.719	0.706	0.6853	0.1523	0.2221	0.679	0.7155	0.4761	0.0791	0.2896	0.7522	0.648	124	43	156	255,556	301,524	131,076	0.6516	0.5916	0.824	0.6361	0.244	43.8	0.9	862	19.7	0.4064	2.7	-0.53	1,825	-16.7	0.3403	428,453	223,478	519,773	0.4283	0.702	0.3141	0.8683	0.0938	46.2	1.27	627	30.1	0.4175	0.3	-0.9	2,060	-27.1	0.3292	617,821	379,188	507,174	0.1749	Strong	0.4895	0.3246	0.6761	0.0347	Average	43.1	0.84	812	20.9	Below Average	0.3535	3.4	-0.47	1,875	-17.9	0.3932	44	157	125	606	129	competitive	0.0676	13.69	34.9	53.5	11.6	2,781	1,101	competitive	0.0267	1.99	35.3	42.3	22.4	7,139	5,122	competitive	0.026	0.39	41.9	43.5	14.5	0	0.1497	0.4418	0.6816	0.4958	158	159	159	212	15	0.5881	0.4508	0.9637	0.3782	0.8705	52	1.4	1,125	19.6	0.5328	-5.5	-1.03	1,562	-16.6	0.2139	competitive	0.0149	0.62	8.9	65.2	25.9	0	0.6596	0.13	5.87	0.0648	0.8193	0.7665	0.1183	184	185	43,702	69,489	2,109	0.4795	0.1755	0.975	0.1531	0.8547	66.8	3.1	3,847	30.8	0.8401	-20.3	-2.73	-1,160	-27.8	-0.0934	competitive	0.0038	0.0003	0.66	0.04	0.5369	0.059	0.2307	0.7723	0.7069	791,801	41.1	0.94	531	20.4	0.4595	5.4	-0.57	2,156	0.2872	0.6627	0.5469	0.9723	0.4725	0.8031	264,797	0.7208	-17.4	357,382	21,924	44.5	8.8	46.7	791,802	303	55.5	4.11	432	33.1	0.4358	7.6	0.68	624	0.3018	0.5728	0.6523	0.8742	0.394	0.7483	129	59.83	27.28	0.702	303	11.3	885	549	1.2709	12,708.61	0.06	158,399	42	0.0243	242.84	45.67	227.27	7.16	63.69	6.76	80	2.22	62.89	0.14	54.05	-27	-4.13	1,648	-83.5	-4.6	null	null	null	null	null	-0.03	100,226	-0.133	0.69	255,554	0.652	-0.06	91,312	-0.115	0.48	428,451	0.428	0.11	37,068	-0.04	0.31	617,818	0.175	-0.02	21	0.005	0.66	159	0.588	-0.2	20,627	-0.236	0.54	43,702	0.48	0.7467	91.67	8.33	1,084	0.9	27	1	0.997	stable	0.9	6.3	27	27	76	268	0.995	0.996	0.996	1	0.997	4,156	4,296	4,308	1	26	stable	0.47	null	87.36
TLSA67WM	Torchy's Tacos	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Taco restaurant	1671 E Broad St Suite 101, Mansfield, TX 76063	1671 E Broad St Suite 101	Mansfield	Texas	null	null	76,063	US	true	32.569288	-97.115746	America/Chicago	(817) 50-***	2	OPERATIONAL	true	true	null	true	Mansfield	Texas	US	https	https://torchystacos.com	torchystacos.com	torchystacos.com	com	7,015	2007-01-24	2031-01-24	GoDaddy.com, LLC	null	null	0	0	0	"Buzzy chain serving Mexican street-food-style tacos in inventive varieties, including for breakfast(...TRUNCATED)	true	true	4.58	1,279	{"1": 60, "2": 34, "3": 49, "4": 91, "5": 1035}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Comfort food, Happy hour drinks, Hard liquor, Late-night food, Quick bite(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating	Bar onsite, Restroom	Casual, Trendy	Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-04T21:56:57.282575+00:00	0	3.41	5.3	17,413.71	1,021.9	181.3403	0.08	91.6	100	88.7	0.7731	0.3254	0.6408	0.7396	0.8128	0.6842	0.1874	0.1656	82	90.6	64.71	35.29	82.35	17.65	0	87.04	11.57	1.39	91.55	7.42	1.03	declining	declining	-0.3154	-8.6	-0.172	-9.5	17	68	216	485	-37	-43.9	-25	77	76	0	67	83.1	96	2	95	2	1,426	37,619	1,550	14,230	420,406	17,715	14,784	2	6,827	18	302,778	89,442	131	305,745	230,480	108	644,310	155	210	395	71,744	132,823	734,279	1,460,619	734,279	0.593	0.0894	0.2693	0.2938	0.3303	0.8629	0.1205	0.3942	0.2627	0.2054	0.8104	0.0274	0.2859	0.3558	0.3137	107	17	130	6,827	27,835	302,778	0.9906	0.9619	0.5937	0.9371	0.6842	56.9	2.14	583	36	0.5427	-9.7	-1.88	686	-31.1	0.2304	89,442	49,925	305,745	0.8794	0.9324	0.5964	0.9228	0.1874	53.8	2.12	983	33.6	0.4664	-6.6	-1.86	286	-28.7	0.3067	230,480	58,479	644,310	0.6852	Market Leader	0.9207	0.1422	0.971	0.1656	Market Leader	51.6	2.19	438	39.7	Average	0.4863	-4.4	-1.93	831	-34.8	0.2868	18	131	108	332	75	competitive	0.1134	5.41	11.8	41.2	47.1	3,309	1,176	competitive	0.0098	1.66	18.5	40	41.5	7,946	5,053	competitive	0.0264	0.34	18.7	49.5	31.8	0	0.0108	0.316	0.3724	0.2836	137	138	135	188	47	0.4597	0.2419	0.8145	0.25	0.9073	54.4	2.16	923	34.3	0.5017	-7.2	-1.9	346	-29.4	0.2714	competitive	0.0099	1.44	18.2	36.5	45.3	0	0.5008	0.08	10.27	0.0598	0.8186	0.3234	-0.219	183	184	42,079	70,193	7,393	0.4988	0.1668	0.9123	0.171	0.881	66.7	3.09	3,859	30.7	0.8409	-19.5	-2.83	-2,590	-25.8	-0.0678	competitive	0.0018	0.0003	0.67	0.04	0.5232	0.059	0.2307	0.3242	0.3689	791,801	41.1	0.94	531	20.4	0.4595	6.1	-0.68	738	0.3136	0.6832	0.5153	0.8869	0.5293	0.8406	248,509	0.6939	-15.5	380,690	89,427	44.5	8.8	46.7	791,802	186	59.8	4.06	538	40.4	0.4763	2	0.43	719	0.3033	0.4757	0.6486	0.9946	0.2	0.8595	98	69.63	18.46	0.7514	186	18.87	530	761	1.7414	17,413.71	0.06	159,265	42	0.0242	242.31	128.68	555.56	0.97	76.34	6.96	92.59	0.99	72.46	0.03	54.35	-26.1	-4.33	30	-84.1	13.8	null	null	null	null	null	0.12	-109,640	0.152	0.86	6,826	0.991	0.33	-268,502	0.363	0.81	89,437	0.879	0.35	-365,746	0.491	0.59	230,471	0.685	-0.27	35	-0.138	0.5	135	0.46	-0.27	18,492	-0.21	0.52	42,079	0.499	0.7731	68.18	31.82	1,279	1.17	35	1	0.998	accelerating	1.17	8.17	35	35	61	307	0.997	0.997	0.997	1	0.998	2,747	2,846	2,856	1	13	accelerating	0.7	null	90.51
D53QTA5M	King Buffet	Food and Drink	Restaurants	Buffet restaurant	Buffet restaurant, Chinese restaurant	2402 Texas Ave S, College Station, TX 77840	2402 Texas Ave S	College Station	Texas	Parkway Plaza	South Knoll	77,840	US	true	30.608226	-96.312068	America/Chicago	(979) 48-***	2	OPERATIONAL	true	true	null	true	College Station	Texas	US	https	https://kingbuffetcs.com/index.html	kingbuffetcs.com/index.html	kingbuffetcs.com	com	757	2024-03-13	2027-03-13	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.14	442	{"1": 44, "2": 33, "3": 23, "4": 47, "5": 270}	Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	All you can eat, Comfort food, Private dining room, Quick bite, Salad bar	Lunch, Dinner, Catering, Dessert, Seating, Table service	Restroom	Casual, Quiet, Trendy	College students, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs	true	true	purchase_dataset@	true	true	3	2024-06-14	2024-07-26	664	622	30	664	664	622	622	null	null	https://www.facebook.com/kingbuffetcs	kingbuffetcs	null	null	https://www.tiktok.com/@king.buffet.colle	king.buffet.colle	null	null	https://www.youtube.com/channel/ucznfzrnkinescguwp8drsqq	ucznfzrnkinescguwp8drsqq	null	null	null	null	null	null	null	null	null	null	null	null	null	39	10	47	0.56	null	null	null	null	null	null	null	2026-04-04T21:32:30.511880+00:00	0.05	5.05	0.9	13,447.1	203.2	163.1753	0.12	82.8	88.2	76.7	0.5288	0.7004	0.7865	0.7751	0.648	0.7613	0.642	0.4476	89.3	82.4	90.91	9.09	92.21	5.19	2.6	91.39	7.28	1.32	85.52	12.22	2.26	declining	improving	-0.0861	6.9	0.1385	8.4	22	77	151	221	2	39.4	-14.3	79.5	75.2	52	83	87.1	96	151	331	185	27,658	78,927	38,163	253,736	895,972	378,367	272,035	151	274,904	36	293,673	270,046	147	281,139	543,165	129	511,564	290	340	565	71,744	132,823	734,279	1,460,619	734,279	0.2892	0.0984	0.3246	0.6245	0.4747	0.5611	0.108	0.3376	0.6149	0.4617	0.6057	0.117	0.3889	0.6059	0.4104	128	35	146	274,904	420,715	293,673	0.6256	0.4303	0.6058	0.3559	0.7613	43.4	0.62	594	11.7	0.5712	13.1	0.09	-177	2.9	-0.0424	270,046	345,164	281,139	0.6374	0.5403	0.6288	0.4879	0.642	49.1	0.9	1,031	14	0.6069	7.4	-0.19	-614	0.6	-0.0781	543,165	533,872	511,564	0.2732	Average	0.2809	0.3189	0.2905	0.4476	Average	46	0.55	801	9.2	Below Average	0.6022	10.5	0.16	-384	5.4	-0.0734	36	147	129	500	86	competitive	0.0197	11.14	37.1	60	2.9	2,856	1,046	competitive	0.0028	1.86	20.5	66.4	13	7,300	5,040	competitive	0.0041	0.41	24.2	69.5	6.3	0	0.093	0.4008	0.6299	0.3985	147	148	42	110	155	0.8808	0.6831	0.5523	0.686	0.4244	50.3	0.95	1,096	15	0.6224	6.2	-0.24	-679	-0.4	-0.0936	competitive	0.0026	1.11	11.6	74.8	13.6	0	0.723	0.12	6.14	0.0598	0.8189	0.6631	-0.0196	183	184	24,187	68,417	20,785	0.7111	0.1884	0.7533	0.1958	0.5628	66.7	3.1	3,869	30.5	0.8406	-10.2	-2.39	-3,452	-15.9	-0.3118	competitive	0.0006	0.0003	0.67	0.04	0.567	0.059	0.2307	0.6639	0.5686	791,801	41.1	0.94	531	20.4	0.4595	15.4	-0.23	-114	0.0693	0.8729	0.5843	0.641	0.596	0.5094	99,661	0.7168	-5.8	328,116	283,765	44.5	8.8	46.7	791,802	295	55.1	4.17	461	20.1	0.5102	14.8	0.58	-41	-0.0219	0.8163	0.6633	0.551	0.602	0.3605	55	61.81	15.51	0.4558	295	12.2	820	907	1.3372	13,372.22	0.06	159,265	42	0.0243	242.95	3.87	277.78	0.08	68.03	0.16	77.52	0.07	67.57	0	54.35	-21.3	-3.4	10	-61.1	-6.9	null	null	null	null	null	-0.23	146,805	-0.197	0.56	274,903	0.626	-0.1	86,126	-0.111	0.61	270,044	0.637	-0.07	95,143	-0.118	0.29	543,163	0.273	0.19	-41	0.132	0.72	42	0.881	-0.05	11,230	-0.129	0.57	24,187	0.711	0.5288	91.67	8.33	442	1.03	31	1	0.995	accelerating	1.03	7.23	31	31	62	147	0.996	0.996	0.996	1	0.995	3,336	3,444	3,456	1	2	accelerating	0.3	null	80.46
QFWAZCUJ	First Watch	Food and Drink	Restaurants	Breakfast restaurant	"Breakfast restaurant, Brunch restaurant, Family restaurant, Health food restaurant, Lunch restauran(...TRUNCATED)	150 E 9th St, Tyler, TX 75701	150 E 9th St	Tyler	Texas	null	null	75,701	US	true	32.327306	-95.300048	America/Chicago	(903) 59-***	2	OPERATIONAL	true	true	null	true	Tyler	Texas	US	http	http://firstwatch.com/locations/tyler	firstwatch.com/locations/tyler	firstwatch.com	com	9,838	1999-05-03	2029-05-03	Network Solutions, LLC	"purchase_dataset@firstwatch.com, purchase_dataset@firstwatch.com, purchase_dataset@firstwatch.com, (...TRUNCATED)	realdomain	12	11	1	Cafe chain for health-minded breakfast, brunch & lunch options such as omelets, salads & soups.	true	true	4.53	1,090	{"1": 57, "2": 45, "3": 57, "4": 164, "5": 1044}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great coffee, Great tea selection, Serves local specialty	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Coffee, Comfort food, Healthy options, Organic dishes, Quick bite, Small plates, Vegan opt(...TRUNCATED)	Breakfast, Brunch, Lunch, Dessert, Seating, Table service	Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-09-16	2026-02-16	205	52	76	205	205	52	52	https://www.instagram.com/firstwatch	firstwatch	https://www.facebook.com/firstwatch	firstwatch	https://twitter.com/first_watch	first_watch	https://www.tiktok.com/@firstwatch	firstwatch	https://www.linkedin.com/company/first-watch-restaurant	first-watch-restaurant	null	null	null	null	null	null	https://www.pinterest.com/firstwatchaz	firstwatchaz	260,368	0.2	null	0.12	0.2	0.2	2,539	55,400	536	655,300	0.91	null	0.23	0.89	0.91	https://firstwatch.com/menu-pdf/january+2025+core+menu/fwr1024_jan25menu_ada_10dp.pdf	null	null	2026-04-04T20:40:05.910634+00:00	417.26	3.57	0	19,021.19	129.7	243.5897	0.09	90.6	100	88	0.7569	0.7725	0.8392	0.8583	0.8915	0.5108	0.3217	0.1066	92	94.6	90.48	9.52	95.89	4.11	0	94.26	5.26	0.48	95.05	4.25	0.71	declining	declining	-0.0667	-2.6	-0.0523	-2.7	21	73	209	424	-30.1	-31.1	-13.7	88.7	74.5	76	100	91.8	96	33	179	40	5,441	42,325	6,484	48,315	476,633	61,341	51,993	33	496,461	11	298,579	454,089	161	294,292	638,179	124	554,882	175	352	556	71,744	132,823	734,279	1,460,619	734,279	0.2846	0.1755	0.2252	0.6074	0.6383	0.4299	0.3419	0.2654	0.441	0.5981	0.483	0.2054	0.2587	0.5775	0.6048	123	10	160	496,461	446,682	298,579	0.3289	0.3952	0.5993	0.6772	0.5108	39.2	0.57	588	21.2	0.4891	20.5	-0.22	779	-15.5	0.2678	454,089	396,467	294,292	0.395	0.4719	0.6115	0.4785	0.3217	45.7	0.77	1,005	13.7	0.5123	14	-0.42	362	-8	0.2446	638,179	379,188	554,882	0.1485	Average	0.4895	0.2612	0.687	0.1066	Average	42.1	0.84	683	21.4	Below Average	0.4464	17.6	-0.49	684	-15.7	0.3105	11	161	124	399	72	moderate	0.1888	3.18	60	30	10	3,213	1,066	competitive	0.0084	2.04	25	67.5	7.5	6,665	5,005	competitive	0.016	0.39	45.5	46.3	8.1	0	0.2424	0.3401	0.5405	0.5234	170	171	28	244	63	0.9389	0.4208	0.8597	0.2919	0.8778	48.9	0.84	1,175	13.2	0.5518	10.8	-0.49	192	-7.5	0.2051	competitive	0.0068	1.13	11.2	78.8	10	0	0.7597	0.09	7.84	0.0651	0.819	0.7178	0.0445	183	184	18,957	69,599	6,685	0.7733	0.1743	0.9207	0.175	0.8652	66.7	3.1	3,858	30.7	0.841	-7	-2.75	-2,491	-25	-0.0841	competitive	0.0019	0.0003	0.67	0.04	0.6378	0.059	0.2307	0.7239	0.6328	791,801	41.1	0.94	531	20.4	0.4595	18.6	-0.59	836	0.2974	0.9091	0.5427	0.8993	0.5411	0.8182	71,080	0.7962	-14.7	360,635	79,643	44.5	8.8	46.7	791,802	310	54.8	4.08	499	21.4	0.4655	19.8	0.81	565	0.2895	0.9482	0.754	0.8544	0.5566	0.8188	17	62.95	25.93	0.7735	310	16.04	624	702	1.885	18,849.66	0.06	159,265	42	0.0242	242.25	356.3	909.09	0.71	62.11	2.56	80.65	0.46	58.48	0.04	54.35	-24.8	-4.18	313	-82.2	10.8	null	null	null	null	null	-0.29	206,159	-0.27	0.43	496,460	0.329	-0.08	149,008	-0.191	0.48	454,086	0.395	0.03	58,947	-0.068	0.28	638,176	0.149	-0.11	19	-0.041	0.76	28	0.939	-0.22	16,958	-0.201	0.64	18,957	0.773	0.7569	90.91	9.09	1,090	0.93	28	1	0.983	accelerating	0.93	6.53	28	28	64	266	0.996	0.996	0.996	1	0.983	3,924	4,055	4,067	1	14	accelerating	0.03	null	88.68
NN8F3JG6	Subway	Food and Drink	Restaurants	Sandwich shop	Sandwich shop, Caterer, Fast food restaurant, Takeout Restaurant, Restaurant	105 Kennings Rd #10, Crosby, TX 77532	105 Kennings Rd #10	Houston	Texas	null	null	77,532	US	true	29.889436	-95.062087	America/Chicago	(281) 32-***	2	OPERATIONAL	true	true	null	true	Houston	Texas	US	https	https://restaurants.subway.com/united-states/tx/crosby/105-kenning-rd	restaurants.subway.com/united-states/tx/crosby/105-kenning-rd	restaurants.subway.com	com	11,040	1996-01-17	2027-01-18	CSC Corporate Domains, Inc.	purchase_dataset@gmail.com	null	1	1	0	Casual counter-serve chain for build-your-own sandwiches & salads, with health-conscious options.	true	true	3.3	149	{"1": 45, "2": 10, "3": 11, "4": 17, "5": 65}	Delivery, Onsite services, Takeout, Dine-in	Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Healthy options, Quick bite, Vegetarian options	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert	Restroom	Casual, Quiet	Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	5	2025-11-06	2026-02-25	154	43	36	154	154	43	43	https://www.instagram.com/subway	subway	https://www.facebook.com/subway	subway	https://twitter.com/subway	subway	null	null	https://www.linkedin.com/company/subway	subway	https://www.youtube.com/user/subway	subway	null	null	null	null	null	null	1,440,864	0.03	null	0.02	0.03	0.03	1,661	null	null	null	null	null	null	null	null	https://subway.com/en-us/restaurant/7977-0/menu/?segment_code=0	null	null	2026-04-04T20:23:41.741145+00:00	62.52	0	0	771.89	7.4	76.284	2.75	66	72.5	55	0.1295	0.9299	0.7342	0.5817	0.2775	0.1892	0.3614	0.0803	86.7	63.9	100	0	88.89	11.11	0	80.95	19.05	0	65.38	34.62	0	improving	improving	0.1957	22.8	0.4567	35.7	14	18	21	26	71.4	176.9	133.3	71.9	70.1	56	100	82.4	94	7,682	22,252	12,108	41,979	112,405	64,126	425,215	1,252,021	695,989	455,490	7,682	41,090	29	248,796	578,154	40	711,816	709,869	43	714,219	328	13,987	25,282	71,744	132,823	734,279	1,460,619	734,279	0.2022	0.0183	0.1119	0.9116	0.7025	0.8525	0.0673	0.2567	0.8626	0.5577	0.3354	0.0302	0.2697	0.8997	0.5447	42	28	39	41,090	59,847	248,796	0.9431	0.9181	0.666	0.8648	0.1892	50.8	1.83	651	29.9	0.3839	3.6	-1.28	-503	-19.1	-0.2544	578,154	190,721	711,816	0.2333	0.7455	0.0615	0.8649	0.3614	42.8	1.4	284	29.9	0.5242	11.6	-0.85	-136	-19.1	-0.3947	709,869	332,680	714,219	0.0543	Market Leader	0.5524	0.0493	0.7198	0.0803	Below Average	37.2	0.95	216	22.9	Below Average	0.4233	17.2	-0.4	-68	-12.1	-0.2938	29	40	43	471	18	competitive	0.008	8.91	17.9	60.7	21.4	2,532	1,038	competitive	0.0132	0.5	48.7	30.8	20.5	8,048	5,485	competitive	0.0161	0.13	59.5	38.1	2.4	0	0.0665	0.6969	0.8634	0.1175	181	182	5,708	13,818	5,941	0.6417	0.138	0.6292	0.143	0.2226	64.3	2.77	2,683	34.3	0.7662	-9.9	-2.22	-2,535	-23.5	-0.6367	competitive	0.0003	0.1	0.6	33.7	64.1	1.7	0.4868	1.83	0.51	0.0598	0.8187	0.8701	-0.0043	183	184	28,044	68,797	28,826	0.6653	0.1841	0.6577	0.1889	0.2137	66.7	3.1	3,871	30.5	0.8404	-12.3	-2.55	-3,723	-19.7	-0.7109	competitive	0.0002	0.0003	0.67	0.04	0.5187	0.059	0.2307	0.8709	0.5837	791,801	41.1	0.94	531	20.4	0.4595	13.3	-0.39	-383	-0.33	0.8438	0.5721	0.4216	0.58	0.2009	122,500	0.6356	-9.6	338,150	457,068	44.5	8.8	46.7	791,802	1,390	51	3.75	430	26.1	0.3633	-1.9	-0.75	-295	-0.3093	0.3564	0.1066	0.4104	0.2419	0.2102	893	59.37	0.33	0.3125	1,390	0.79	12,732	1,324	0.2107	2,107.32	0.06	159,265	42	0.0243	243.04	0.65	344.83	1.73	250	2.58	232.56	0	54.95	0	54.35	-9	-2.59	14	-39.9	8.3	null	null	null	null	null	0.33	-227,984	0.315	0.85	41,090	0.943	0.25	-123,406	0.172	0.34	578,154	0.233	0.17	-14,303	0.031	0.2	709,869	0.054	0.16	-3,115	0.203	0.49	5,708	0.642	0.23	-21,653	0.274	0.52	28,044	0.665	0.1295	100	0	149	0.47	14	0.988	0.992	accelerating	0.47	3.27	14	14	15	23	0.987	0.987	0.987	0.988	0.992	11,432	11,899	11,922	7	20	accelerating	0.47	null	63.09
3NHHSCG5	Chowpatty Chat	Food and Drink	Restaurants	Indian restaurant	Indian restaurant, Fast food restaurant, Modern Indian restaurant, Vegetarian restaurant	5711 Hillcroft Ave # A-3, Houston, TX 77036	5711 Hillcroft Ave # A-3	Houston	Texas	Sharpstown	Sharpstown	77,036	US	true	29.720503	-95.500658	America/Chicago	(832) 20-***	2	null	true	true	null	true	Houston	Texas	US	http	http://chowpattychat.com	chowpattychat.com	chowpattychat.com	com	2,089	2020-07-20	2026-07-20	GoDaddy.com, LLC	null	null	0	0	0	"Restaurant serving Indian dishes in a modern black & white space with Bollywood prints on the walls(...TRUNCATED)	true	true	4.25	1,296	{"1": 176, "2": 84, "3": 132, "4": 361, "5": 1460}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Cocktails, Coffee, Comfort food, Happy hour drinks, Healthy options, Organic dishes, Quick(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists	null	Checks, Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2024-05-24	2026-01-05	685	94	24	685	685	94	94	https://www.instagram.com/chowpatty.chat	chowpatty.chat	https://www.facebook.com/chowpattychathillcroft	chowpattychathillcroft	null	null	null	null	https://www.linkedin.com/in/nirman-shah-a2584416	nirman-shah-a2584416	https://www.youtube.com/channel/ucbkxkk3zsf7ggdvpbw2j2kw	ucbkxkk3zsf7ggdvpbw2j2kw	null	null	null	null	null	null	486	19.25	null	null	12.69	22.9	121	null	null	null	null	null	null	null	null	https://chowpattychat.com/menu	null	null	2026-04-04T20:21:58.578170+00:00	0.04	74	0.6	2,465.84	12.4	135.9517	1.84	85	100	80.5	0.5841	0.6797	0.7825	0.8388	0.8007	0.485	0.7024	0.738	89.1	90	92.31	7.69	97.41	2.59	0	96.89	2.91	0.19	94.32	5.15	0.53	declining	stable	-0.1028	-0.9	-0.0182	-1	13	270	515	563	4.9	91.8	-85.6	82.9	51.4	84	100	86.7	94	371	13,688	403	1,366	69,389	1,482	13,687	792,741	16,987	14,187	371	391,174	101	243,813	19,364	170	104,353	12,954	167	90,451	264	13,987	25,282	71,744	132,823	734,279	1,460,619	734,279	0.9446	0.0749	0.5825	0.6048	0.2024	0.6059	0.0456	0.2189	0.6341	0.566	0.9298	0.0445	0.491	0.6352	0.2939	166	100	169	391,174	205,080	243,813	0.4691	0.7216	0.6728	0.7444	0.485	41.2	1.19	658	23.9	0.4817	19.5	-0.03	1,555	-10.4	0.1024	19,364	44,728	104,353	0.9732	0.9394	0.8622	0.88	0.7024	58.8	2.16	1,543	30.8	0.6256	1.9	-1	670	-17.3	-0.0415	12,954	29,056	90,451	0.9818	Average	0.9602	0.8795	0.9144	0.738	Market Leader	61.9	2.48	1,948	33.4	Market Leader	0.6871	-1.2	-1.32	265	-19.9	-0.103	101	170	167	485	10	competitive	0.0325	31.83	45	43	12	3,198	1,011	competitive	0.0084	2.15	1.8	52.1	46.2	7,604	5,015	competitive	0.0068	0.53	0	33.7	65.7	0.6	0.0673	0.6986	0.6124	0.0863	179	180	3,677	10,898	776	0.7688	0.3143	0.9516	0.1486	0.6397	64.3	2.77	2,662	34.6	0.765	-3.6	-1.61	-449	-21.1	-0.1809	competitive	0.0046	0.1	0.6	33.5	64.2	1.7	0.6873	1.85	0.5	0.0651	0.8191	0.6146	-0.0342	183	184	17,443	52,766	3,189	0.7917	0.3637	0.9622	0.1938	0.6349	66.7	3.1	3,870	30.5	0.8405	-6	-1.94	-1,657	-17	-0.2564	competitive	0.0031	0.0003	0.67	0.04	0.7144	0.059	0.2307	0.6207	0.5542	791,801	41.1	0.94	531	20.4	0.4595	19.6	0.22	1,682	0.1246	0.9193	0.6068	0.9582	0.5915	0.5732	63,129	0.8372	-6.9	311,121	33,050	44.5	8.8	46.7	791,802	12,620	52.9	4.12	396	32.7	0.4743	24.8	0.77	865	0.1187	0.9509	0.6815	0.9719	0.4091	0.5565	612	60.85	19.2	0.5461	12,620	0.78	12,875	1,324	0.2068	2,067.79	0.06	159,265	42	0.0243	242.97	10.58	99.01	0.71	58.82	0.46	59.88	0.21	55.56	0.1	54.35	-26.2	-3.07	967	-66.4	-38.9	null	null	null	null	null	0.09	-66,498	0.097	0.61	391,166	0.469	0.08	-88,815	0.123	0.93	19,353	0.973	0.04	-58,035	0.086	0.94	12,937	0.982	-0.12	3,518	-0.221	0.69	3,677	0.769	-0.1	16,825	-0.2	0.71	17,443	0.792	0.5841	92.31	7.69	1,296	1.23	37	1	0.988	decelerating	1.23	8.63	37	37	289	321	0.997	0.997	0.997	1	0.988	2,514	2,605	2,617	1	9	decelerating	-0.24	null	80.94

End of preview. Expand in Data Studio

Tech-Ready Restaurants in Texas, US

Free sample dataset from BeamStation

The "Tech-Ready Restaurants in Texas, US" dataset lists 333 established eateries across Texas that are primed for digital upgrades. Each record represents a restaurant with a Beam Score above 70 and recent sentiment scores exceeding 10 over the past 30 days, indicating strong customer satisfaction and financial stability. Despite their performance, these venues currently lack both online reservation systems and online ordering capabilities, making them ideal candidates for technology adoption and modernization efforts. The dataset is refreshed weekly to reflect the latest scores and sentiment trends, ensuring users have up-to-date information for outreach, partnership, or investment decisions. Technology vendors, consultants, and investors looking to target low‑hanging fruit in the hospitality sector can use this list to identify restaurants that have the budget and demand but need the tech infrastructure to capture more revenue and improve guest experience. For more details, visit the dataset page at https://beamstation.com/datasets/130655/.

Dataset Details

Field	Value
Full dataset	333 records
Sample size	33 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, ... (498 total)

Column List

#	Column
1	`beam_id`
2	`title`
3	`category_main_group`
4	`category_sub_group`
5	`category`
6	`categories`
7	`address`
8	`street`
9	`city`
10	`state`
11	`borough`
12	`neighborhood`
13	`postal_code`
14	`country`
15	`address_verified`
16	`latitude`
17	`longitude`
18	`timezone`
19	`phone`
20	`price_level`
21	`business_status`
22	`has_open_hours`
23	`has_price`
24	`census_place`
25	`verified_census_city`
26	`beam_location_name`
27	`beam_state_code`
28	`beam_country_code`
29	`website_protocol`
30	`website`
31	`website_normalized`
32	`website_domain`
33	`website_domain_tld`
34	`website_domain_age`
35	`website_domain_registered`
36	`website_domain_expires`
37	`website_domain_registrar`
38	`emails_list`
39	`emails_list_website_domain`
40	`emails_count`
41	`emails_deliverable_count`
42	`emails_risky_count`
43	`description`
44	`has_about`
45	`has_description`
46	`rating`
47	`reviews_total_count`
48	`reviews_per_rating`
49	`service_options`
50	`highlights`
51	`popular_for`
52	`accessibility`
53	`offerings`
54	`dining_options`
55	`amenities`
56	`atmosphere`
57	`crowd`
58	`planning`
59	`payments`
60	`children`
61	`has_popular_times`
62	`has_website`
63	`has_email`
64	`has_social`
65	`has_phone`
66	`socials_count`
67	`first_social_post_date`
68	`last_social_post_date`
69	`first_social_post_days`
70	`last_social_post_days`
71	`social_post_count`
72	`first_social_post_days_min`
73	`first_social_post_days_max`
74	`last_social_post_days_min`
75	`last_social_post_days_max`
76	`social_profile_instagram`
77	`social_username_instagram`
78	`social_profile_facebook`
79	`social_username_facebook`
80	`social_profile_twitter`
81	`social_username_twitter`
82	`social_profile_tiktok`
83	`social_username_tiktok`
84	`social_profile_linkedin`
85	`social_username_linkedin`
86	`social_profile_youtube`
87	`social_username_youtube`
88	`social_profile_github`
89	`social_username_github`
90	`social_profile_snapchat`
91	`social_username_snapchat`
92	`social_profile_pinterest`
93	`social_username_pinterest`
94	`instagram_followers`
95	`instagram_engagement_rate`
96	`instagram_engagement_rate_1m`
97	`instagram_engagement_rate_3m`
98	`instagram_engagement_rate_6m`
99	`instagram_engagement_rate_12m`
100	`instagram_post_count`
101	`tiktok_followers`
102	`tiktok_video_count`
103	`tiktok_heart_count`
104	`tiktok_engagement_rate`
105	`tiktok_engagement_rate_1m`
106	`tiktok_engagement_rate_3m`
107	`tiktok_engagement_rate_6m`
108	`tiktok_engagement_rate_12m`
109	`menu_link`
110	`order_links`
111	`reservation_link`
112	`last_updated_at`
113	`beam_cross_social_market_penetration`
114	`beam_cross_velocity_quality`
115	`beam_cross_social_urgency`
116	`beam_cross_per_capita_engagement`
117	`beam_cross_market_saturation_lead`
118	`beam_cross_population_adjusted_rank`
119	`beam_cross_demand_gap_index`
120	`beam_rating_score`
121	`beam_review_confidence`
122	`beam_rating_health`
123	`sentiment_avg`
124	`sentiment_avg_30d`
125	`sentiment_avg_90d`
126	`sentiment_avg_180d`
127	`sentiment_avg_360d`
128	`sentiment_percentile_1km`
129	`sentiment_percentile_5km`
130	`sentiment_percentile_10km`
131	`sentiment_score_90d`
132	`sentiment_score_360d`
133	`sentiment_positive_pct_30d`
134	`sentiment_negative_pct_30d`
135	`sentiment_neutral_pct_30d`
136	`sentiment_positive_pct_90d`
137	`sentiment_negative_pct_90d`
138	`sentiment_neutral_pct_90d`
139	`sentiment_positive_pct_180d`
140	`sentiment_negative_pct_180d`
141	`sentiment_neutral_pct_180d`
142	`sentiment_positive_pct_360d`
143	`sentiment_negative_pct_360d`
144	`sentiment_neutral_pct_360d`
145	`sentiment_trend_30vs90d`
146	`sentiment_trend_90vs360d`
147	`sentiment_diff_30vs90d`
148	`sentiment_change_360d`
149	`sentiment_diff_90vs360d`
150	`sentiment_change_pct_360d`
151	`reviews_count_30d`
152	`reviews_count_90d`
153	`reviews_count_180d`
154	`reviews_count_360d`
155	`review_growth_pct_180d`
156	`review_growth_pct_360d`
157	`review_growth_pct_90d`
158	`beam_score_overall`
159	`beam_popularity_percentile`
160	`beam_social_presence`
161	`beam_data_completeness`
162	`beam_price_value`
163	`beam_data_freshness`
164	`beam_rank_city_category`
165	`beam_rank_city_overall`
166	`beam_rank_city_reviews`
167	`beam_rank_state_category`
168	`beam_rank_state_overall`
169	`beam_rank_state_reviews`
170	`beam_rank_country_category`
171	`beam_rank_country_overall`
172	`beam_rank_country_reviews`
173	`beam_rank_place_global_category`
174	`beam_rank_category`
175	`beam_rank_competition_1km_category`
176	`beam_rank_competition_1km_total`
177	`beam_rank_competition_1km_reviews`
178	`beam_rank_competition_5km_category`
179	`beam_rank_competition_5km_total`
180	`beam_rank_competition_5km_reviews`
181	`beam_rank_competition_10km_category`
182	`beam_rank_competition_10km_total`
183	`beam_rank_competition_10km_reviews`
184	`beam_export_rank`
185	`total_city_category`
186	`total_city`
187	`total_state_category`
188	`total_state`
189	`total_country_category`
190	`total_country`
191	`total_category_global`
192	`beam_competitors_10km_competitive_strength`
193	`beam_competitors_10km_competitor_avg_sentiment_30d`
194	`beam_competitors_10km_competitor_avg_sentiment_90d`
195	`beam_competitors_10km_sentiment_diff_30d`
196	`beam_competitors_10km_sentiment_diff_90d`
197	`beam_competitors_1km_competitive_strength`
198	`beam_competitors_1km_competitor_avg_sentiment_30d`
199	`beam_competitors_1km_competitor_avg_sentiment_90d`
200	`beam_competitors_1km_sentiment_diff_30d`
201	`beam_competitors_1km_sentiment_diff_90d`
202	`beam_competitors_5km_competitive_strength`
203	`beam_competitors_5km_competitor_avg_sentiment_30d`
204	`beam_competitors_5km_competitor_avg_sentiment_90d`
205	`beam_competitors_5km_sentiment_diff_30d`
206	`beam_competitors_5km_sentiment_diff_90d`
207	`beam_competitors_10km_competitor_count`
208	`beam_competitors_1km_competitor_count`
209	`beam_competitors_5km_competitor_count`
210	`beam_competitors_1km_rank_by_score`
211	`beam_competitors_1km_rank_by_rating`
212	`beam_competitors_1km_rank_by_reviews`
213	`beam_competitors_1km_score_percentile`
214	`beam_competitors_1km_rating_percentile`
215	`beam_competitors_1km_reviews_percentile`
216	`beam_competitors_1km_health_percentile`
217	`beam_competitors_1km_sentiment_percentile`
218	`beam_competitors_1km_competitor_avg_score`
219	`beam_competitors_1km_competitor_avg_rating`
220	`beam_competitors_1km_competitor_avg_reviews`
221	`beam_competitors_1km_competitor_avg_health`
222	`beam_competitors_1km_competitor_avg_sentiment`
223	`beam_competitors_1km_score_diff`
224	`beam_competitors_1km_rating_diff`
225	`beam_competitors_1km_reviews_diff`
226	`beam_competitors_1km_health_diff`
227	`beam_competitors_1km_sentiment_diff`
228	`beam_competitors_5km_rank_by_score`
229	`beam_competitors_5km_rank_by_rating`
230	`beam_competitors_5km_rank_by_reviews`
231	`beam_competitors_5km_score_percentile`
232	`beam_competitors_5km_rating_percentile`
233	`beam_competitors_5km_reviews_percentile`
234	`beam_competitors_5km_health_percentile`
235	`beam_competitors_5km_sentiment_percentile`
236	`beam_competitors_5km_competitor_avg_score`
237	`beam_competitors_5km_competitor_avg_rating`
238	`beam_competitors_5km_competitor_avg_reviews`
239	`beam_competitors_5km_competitor_avg_health`
240	`beam_competitors_5km_competitor_avg_sentiment`
241	`beam_competitors_5km_score_diff`
242	`beam_competitors_5km_rating_diff`
243	`beam_competitors_5km_reviews_diff`
244	`beam_competitors_5km_health_diff`
245	`beam_competitors_5km_sentiment_diff`
246	`beam_competitors_10km_rank_by_score`
247	`beam_competitors_10km_rank_by_rating`
248	`beam_competitors_10km_rank_by_reviews`
249	`beam_competitors_10km_score_percentile`
250	`beam_competitors_1km_competitive_tier`
251	`beam_competitors_10km_rating_percentile`
252	`beam_competitors_10km_reviews_percentile`
253	`beam_competitors_10km_health_percentile`
254	`beam_competitors_10km_sentiment_percentile`
255	`beam_competitors_5km_competitive_tier`
256	`beam_competitors_10km_competitor_avg_score`
257	`beam_competitors_10km_competitor_avg_rating`
258	`beam_competitors_10km_competitor_avg_reviews`
259	`beam_competitors_10km_competitor_avg_health`
260	`beam_competitors_10km_competitive_tier`
261	`beam_competitors_10km_competitor_avg_sentiment`
262	`beam_competitors_10km_score_diff`
263	`beam_competitors_10km_rating_diff`
264	`beam_competitors_10km_reviews_diff`
265	`beam_competitors_10km_health_diff`
266	`beam_competitors_10km_sentiment_diff`
267	`beam_competitors_1km_total_in_radius`
268	`beam_competitors_5km_total_in_radius`
269	`beam_competitors_10km_total_in_radius`
270	`beam_competitors_1km_avg_distance_m`
271	`beam_competitors_1km_closest_competitor_m`
272	`beam_competitors_1km_market_type`
273	`beam_competitors_1km_review_share`
274	`beam_competitors_1km_density_per_sqkm`
275	`beam_competitors_1km_tier_below_40`
276	`beam_competitors_1km_tier_40_59`
277	`beam_competitors_1km_tier_60_79`
278	`beam_competitors_1km_tier_80_100`
279	`beam_competitors_5km_avg_distance_m`
280	`beam_competitors_5km_closest_competitor_m`
281	`beam_competitors_5km_market_type`
282	`beam_competitors_5km_review_share`
283	`beam_competitors_5km_density_per_sqkm`
284	`beam_competitors_5km_tier_below_40`
285	`beam_competitors_5km_tier_40_59`
286	`beam_competitors_5km_tier_60_79`
287	`beam_competitors_5km_tier_80_100`
288	`beam_competitors_10km_avg_distance_m`
289	`beam_competitors_10km_closest_competitor_m`
290	`beam_competitors_10km_market_type`
291	`beam_competitors_10km_review_share`
292	`beam_competitors_10km_density_per_sqkm`
293	`beam_competitors_10km_tier_below_40`
294	`beam_competitors_10km_tier_40_59`
295	`beam_competitors_10km_tier_60_79`
296	`beam_competitors_10km_tier_80_100`
297	`beam_competitors_city_competitor_avg_sentiment_30d`
298	`beam_competitors_city_competitor_avg_sentiment_90d`
299	`beam_competitors_city_sentiment_diff_30d`
300	`beam_competitors_city_sentiment_diff_90d`
301	`beam_competitors_city_competitor_count`
302	`beam_competitors_city_total_in_city`
303	`beam_competitors_city_rank_by_score`
304	`beam_competitors_city_rank_by_rating`
305	`beam_competitors_city_rank_by_reviews`
306	`beam_competitors_city_score_percentile`
307	`beam_competitors_city_rating_percentile`
308	`beam_competitors_city_reviews_percentile`
309	`beam_competitors_city_health_percentile`
310	`beam_competitors_city_sentiment_percentile`
311	`beam_competitors_city_competitor_avg_score`
312	`beam_competitors_city_competitor_avg_rating`
313	`beam_competitors_city_competitor_avg_reviews`
314	`beam_competitors_city_competitor_avg_health`
315	`beam_competitors_city_competitor_avg_sentiment`
316	`beam_competitors_city_score_diff`
317	`beam_competitors_city_rating_diff`
318	`beam_competitors_city_reviews_diff`
319	`beam_competitors_city_health_diff`
320	`beam_competitors_city_sentiment_diff`
321	`beam_competitors_city_market_type`
322	`beam_competitors_city_review_share`
323	`beam_competitors_city_density_per_sqkm`
324	`beam_competitors_city_tier_below_40`
325	`beam_competitors_city_tier_40_59`
326	`beam_competitors_city_tier_60_79`
327	`beam_competitors_city_tier_80_100`
328	`beam_competitors_city_competitive_strength`
329	`beam_competitors_city_underserved_score`
330	`beam_competitors_city_competition_intensity`
331	`beam_competitors_state_competitor_avg_sentiment_30d`
332	`beam_competitors_state_competitor_avg_sentiment_90d`
333	`beam_competitors_state_sentiment_diff_30d`
334	`beam_competitors_state_sentiment_diff_90d`
335	`beam_competitors_state_competitor_count`
336	`beam_competitors_state_total_in_state`
337	`beam_competitors_state_rank_by_score`
338	`beam_competitors_state_rank_by_rating`
339	`beam_competitors_state_rank_by_reviews`
340	`beam_competitors_state_score_percentile`
341	`beam_competitors_state_rating_percentile`
342	`beam_competitors_state_reviews_percentile`
343	`beam_competitors_state_health_percentile`
344	`beam_competitors_state_sentiment_percentile`
345	`beam_competitors_state_competitor_avg_score`
346	`beam_competitors_state_competitor_avg_rating`
347	`beam_competitors_state_competitor_avg_reviews`
348	`beam_competitors_state_competitor_avg_health`
349	`beam_competitors_state_competitor_avg_sentiment`
350	`beam_competitors_state_score_diff`
351	`beam_competitors_state_rating_diff`
352	`beam_competitors_state_reviews_diff`
353	`beam_competitors_state_health_diff`
354	`beam_competitors_state_sentiment_diff`
355	`beam_competitors_state_market_type`
356	`beam_competitors_state_review_share`
357	`beam_competitors_state_density_per_sqkm`
358	`beam_competitors_state_underserved_score`
359	`beam_competitors_state_competition_intensity`
360	`beam_competitors_state_competitive_strength`
361	`beam_competitors_country_competitor_avg_sentiment_30d`
362	`beam_competitors_country_competitor_avg_sentiment_90d`
363	`beam_competitors_country_sentiment_diff_30d`
364	`beam_competitors_country_sentiment_diff_90d`
365	`beam_competitors_country_competitor_count`
366	`beam_competitors_country_competitor_avg_score`
367	`beam_competitors_country_competitor_avg_rating`
368	`beam_competitors_country_competitor_avg_reviews`
369	`beam_competitors_country_competitor_avg_health`
370	`beam_competitors_country_competitor_avg_sentiment`
371	`beam_competitors_country_score_diff`
372	`beam_competitors_country_rating_diff`
373	`beam_competitors_country_reviews_diff`
374	`beam_competitors_country_sentiment_diff`
375	`beam_competitors_country_score_percentile`
376	`beam_competitors_country_rating_percentile`
377	`beam_competitors_country_reviews_percentile`
378	`beam_competitors_country_health_percentile`
379	`beam_competitors_country_sentiment_percentile`
380	`beam_competitors_country_rank_by_score`
381	`beam_competitors_country_competitive_strength`
382	`beam_competitors_country_health_diff`
383	`beam_competitors_country_rank_by_rating`
384	`beam_competitors_country_rank_by_reviews`
385	`beam_competitors_country_tier_40_59`
386	`beam_competitors_country_tier_60_79`
387	`beam_competitors_country_tier_80_100`
388	`beam_competitors_country_tier_below_40`
389	`beam_competitors_country_total_in_country`
390	`beam_competitors_city_siblings_competitor_count`
391	`beam_competitors_city_siblings_competitor_avg_score`
392	`beam_competitors_city_siblings_competitor_avg_rating`
393	`beam_competitors_city_siblings_competitor_avg_reviews`
394	`beam_competitors_city_siblings_competitor_avg_health`
395	`beam_competitors_city_siblings_competitor_avg_sentiment`
396	`beam_competitors_city_siblings_score_diff`
397	`beam_competitors_city_siblings_rating_diff`
398	`beam_competitors_city_siblings_reviews_diff`
399	`beam_competitors_city_siblings_sentiment_diff`
400	`beam_competitors_city_siblings_score_percentile`
401	`beam_competitors_city_siblings_rating_percentile`
402	`beam_competitors_city_siblings_reviews_percentile`
403	`beam_competitors_city_siblings_health_percentile`
404	`beam_competitors_city_siblings_sentiment_percentile`
405	`beam_competitors_city_siblings_rank_by_score`
406	`beam_competitors_city_siblings_competitor_avg_recommend_pct`
407	`beam_competitors_city_siblings_recommend_pct_diff`
408	`beam_competitors_city_siblings_recommend_pct_percentile`
409	`beam_competitors_city_siblings_total_siblings`
410	`beam_competitors_city_businesses_per_10k_pop`
411	`beam_competitors_city_population_per_business`
412	`beam_competitors_city_population_density`
413	`beam_competitors_city_reviews_per_capita`
414	`beam_competitors_city_reviews_per_10k_pop`
415	`beam_competitors_state_businesses_per_10k_pop`
416	`beam_competitors_state_population_per_business`
417	`beam_competitors_state_population_density`
418	`beam_competitors_state_reviews_per_capita`
419	`beam_competitors_state_reviews_per_10k_pop`
420	`beam_competitors_1km_hhi_contribution`
421	`beam_competitors_1km_hhi_minimum`
422	`beam_competitors_5km_hhi_contribution`
423	`beam_competitors_5km_hhi_minimum`
424	`beam_competitors_10km_hhi_contribution`
425	`beam_competitors_10km_hhi_minimum`
426	`beam_competitors_city_hhi_contribution`
427	`beam_competitors_city_hhi_minimum`
428	`beam_competitors_state_hhi_contribution`
429	`beam_competitors_state_hhi_minimum`
430	`beam_trends_score_30d_beam_score_overall`
431	`beam_trends_score_30d_rating`
432	`beam_trends_score_30d_review_count`
433	`beam_trends_score_30d_beam_rating_health`
434	`beam_trends_score_30d_beam_popularity_percentile`
435	`beam_trends_score_90d_beam_score_overall`
436	`beam_trends_score_90d_rating`
437	`beam_trends_score_90d_review_count`
438	`beam_trends_score_90d_beam_rating_health`
439	`beam_trends_score_90d_beam_popularity_percentile`
440	`beam_trends_competitive_1km_30d_strength_change`
441	`beam_trends_competitive_1km_30d_rank_change`
442	`beam_trends_competitive_1km_30d_percentile_change`
443	`beam_trends_competitive_1km_90d_strength_change`
444	`beam_trends_competitive_1km_90d_rank_change`
445	`beam_trends_competitive_1km_90d_percentile_change`
446	`beam_trends_competitive_5km_30d_strength_change`
447	`beam_trends_competitive_5km_30d_rank_change`
448	`beam_trends_competitive_5km_30d_percentile_change`
449	`beam_trends_competitive_5km_90d_strength_change`
450	`beam_trends_competitive_5km_90d_rank_change`
451	`beam_trends_competitive_5km_90d_percentile_change`
452	`beam_trends_competitive_10km_30d_strength_change`
453	`beam_trends_competitive_10km_30d_rank_change`
454	`beam_trends_competitive_10km_30d_percentile_change`
455	`beam_trends_competitive_10km_90d_strength_change`
456	`beam_trends_competitive_10km_90d_rank_change`
457	`beam_trends_competitive_10km_90d_percentile_change`
458	`beam_trends_competitive_city_30d_strength_change`
459	`beam_trends_competitive_city_30d_rank_change`
460	`beam_trends_competitive_city_30d_percentile_change`
461	`beam_trends_competitive_city_90d_strength_change`
462	`beam_trends_competitive_city_90d_rank_change`
463	`beam_trends_competitive_city_90d_percentile_change`
464	`beam_trends_competitive_state_30d_strength_change`
465	`beam_trends_competitive_state_30d_rank_change`
466	`beam_trends_competitive_state_30d_percentile_change`
467	`beam_trends_competitive_state_90d_strength_change`
468	`beam_trends_competitive_state_90d_rank_change`
469	`beam_trends_competitive_state_90d_percentile_change`
470	`beam_trends_sentiment_current_sentiment`
471	`beam_trends_sentiment_positive_ratio`
472	`beam_trends_sentiment_negative_ratio`
473	`beam_trends_sentiment_review_count`
474	`beam_trends_velocity_reviews_per_day`
475	`beam_trends_velocity_reviews_per_month`
476	`beam_trends_velocity_percentile_city`
477	`beam_trends_velocity_percentile_state`
478	`beam_trends_velocity_trend`
479	`beam_velocity_reviews_per_day`
480	`beam_velocity_reviews_per_week`
481	`beam_velocity_reviews_per_month`
482	`beam_velocity_reviews_last_30d`
483	`beam_velocity_reviews_last_90d`
484	`beam_velocity_reviews_last_365d`
485	`beam_velocity_percentile_1km`
486	`beam_velocity_percentile_5km`
487	`beam_velocity_percentile_10km`
488	`beam_velocity_percentile_city`
489	`beam_velocity_percentile_state`
490	`beam_velocity_rank_1km`
491	`beam_velocity_rank_5km`
492	`beam_velocity_rank_10km`
493	`beam_velocity_rank_city`
494	`beam_velocity_rank_state`
495	`beam_velocity_trend`
496	`beam_velocity_change_30d`
497	`beam_velocity_change_90d`
498	`beam_trends_sentiment_recommend_pct`

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/tech-ready-restaurants-in-texas-us-130655")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 333 records and unmasked contact data is available at:

Tech-Ready Restaurants in Texas, US on BeamStation

License

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

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