Datasets:

beamstation
/

all-restaurants-in-beaumont-texas-us-110979

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age 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 string	social_username_github string	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d float64	reviews_count_90d float64	reviews_count_180d float64	reviews_count_360d float64	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 float64	beam_rank_competition_1km_total float64	beam_rank_competition_1km_reviews float64	beam_rank_competition_5km_category float64	beam_rank_competition_5km_total float64	beam_rank_competition_5km_reviews float64	beam_rank_competition_10km_category float64	beam_rank_competition_10km_total float64	beam_rank_competition_10km_reviews float64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count float64	beam_competitors_1km_competitor_count float64	beam_competitors_5km_competitor_count float64	beam_competitors_1km_rank_by_score float64	beam_competitors_1km_rank_by_rating float64	beam_competitors_1km_rank_by_reviews float64	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 float64	beam_competitors_5km_rank_by_rating float64	beam_competitors_5km_rank_by_reviews float64	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 float64	beam_competitors_10km_rank_by_rating float64	beam_competitors_10km_rank_by_reviews float64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews float64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff float64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius 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_1km_tier_80_100 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_5km_tier_80_100 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_80_100 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 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 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 float64	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 float64	beam_velocity_reviews_last_90d float64	beam_velocity_reviews_last_365d float64	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 float64	beam_velocity_rank_state float64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
C4YEK3SF	Antojitos La Huasteca Potosina	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	4225 Calder Ave, Beaumont, TX 77706	4225 Calder Ave	Beaumont	Texas	null	null	77,706	US	true	30.085629	-94.146918	America/Chicago	(409) 45-***	1	OPERATIONAL	true	true	null	true	Beaumont	Texas	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.47	152	{"1": 8, "2": 3, "3": 11, "4": 18, "5": 115}	Delivery, Onsite services, Takeout, Dine-in	Fast service	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible seating	Coffee, Comfort food, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dinner, Dessert, Table service	Restroom	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	true	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-06T11:56:54.112743+00:00	0	0.22	5.2	10,739.32	457.8	192.7481	0.17	89.4	72.8	85.5	0.7349	null	0	0.3	0.6777	0.798	0.2834	0.0636	50	83.9	null	null	null	50	50	0	60	40	0	80.95	14.29	4.76	stable	declining	null	-33.9	-0.6777	-40.4	0	2	5	21	-20	-61.9	-100	61	37.4	0	33	61.4	98	173	131	221	41,720	48,968	63,593	422,257	557,334	689,729	452,312	173	15,211	16	95,718	135,555	101	224,580	526,443	46	547,300	72	298	638	71,744	132,823	734,279	1,460,619	734,279	0.4383	0.0822	0.1652	-0.0822	-0.1652	0.9473	0.2759	0.3688	-0.2759	-0.3688	0.7753	0.0645	0.2249	-0.0645	-0.2249	45	15	100	15,211	14,219	95,718	0.9791	0.9806	0.8716	0.9294	0.798	54	2.45	970	35.1	0.5872	-4.3	0.35	-816	18.8	0.1477	135,555	156,174	224,580	0.8173	0.7912	0.7035	0.7168	0.2834	52	1.55	1,149	22.8	0.5004	-2.3	1.25	-995	31.1	0.2345	526,443	150,847	547,300	0.2948	Market Leader	0.7966	0.2713	0.8224	0.0636	Strong	46.5	1.64	704	27.7	Average	0.4049	3.2	1.16	-550	26.2	0.33	16	101	46	592	97	competitive	0.0105	4.77	13.3	53.3	33.3	0	3,330	1,094	competitive	0.0013	1.27	13	57	30	0	6,548	5,054	competitive	0.0048	0.14	28.9	55.6	15.6	0	0.0733	0.2439	-0.0733	-0.2439	100	101	113	82	248	0.5912	0.7044	0.0985	0.854	0.8832	53	1.45	1,238	20.3	0.4786	-3.3	1.35	-1,084	33.6	0.2563	competitive	0.0012	0.45	8	56	36	0	0.4774	0.17	4.6	0.1115	0.8248	-0.1115	-0.8248	100	101	24,187	19,437	62,785	0.7111	0.768	0.255	0.8967	0.7742	59.9	2.05	5,034	15.8	0.8918	-10.2	0.75	-4,880	38.1	-0.1569	competitive	0.0003	0.0001	1.22	0.02	0.5913	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	8.6	1.86	-377	0.2754	0.7514	0.7629	0.4283	0.8987	0.7858	194,902	0.6579	33.5	186,642	451,759	44.5	8.8	0	46.7	791,802	252	54.5	4.15	402	40.5	0.4418	-3.2	0.38	-250	0.296	0.3187	0.5219	0.4382	0.741	0.7689	171	64.08	29.34	0.8486	252	8.67	1,153	524	1.0739	10,739.32	0.03	291,455	42	0.0173	172.72	1.1	625	0.02	99.01	0.23	217.39	0.02	99.01	0	99.01	-11.8	-1.67	2	-31.6	-5.4	null	null	null	null	null	0.08	-71,401	0.099	0.95	15,211	0.979	0.34	-268,129	0.362	0.78	135,555	0.817	0.32	-128,922	0.18	0.44	526,443	0.295	0.1	-97	0.386	0.48	113	0.591	0.14	-29,254	0.365	0.59	24,187	0.711	0.7349	null	null	152	0.03	1	0.25	0.467	stable	0.03	0.23	1	1	3	16	0.507	0.515	0.517	0.25	0.467	253,363	266,224	265,236	11	2,248	stable	0.03	null	88.16
2KXN348L	Marco's Pizza	Food and Drink	Restaurants	Pizza Takeout	Pizza Takeout	414 Dowlen Rd, Beaumont, TX 77706	414 Dowlen Rd	Beaumont	Texas	null	South C.A.N.A.	77,706	US	true	30.078932	-94.170864	America/Chicago	(409) 22-***	0	null	true	false	null	true	Beaumont	Texas	US	https	https://marcos.com/our-locations/restaurants/tx/beaumont/marcos-pizza-phelan-blvd-beaumont-1	marcos.com/our-locations/restaurants/tx/beaumont/marcos-pizza-phelan-blvd-beaumont-1	marcos.com	com	11,272	1995-05-30	2030-05-29	Network Solutions, LLC	"purchase_dataset@marcos.com, purchase_dataset@marcos.com, purchase_dataset@marcos.com, purchase_dat(...TRUNCATED)	realdomain	5	5	0	Counter-serve chain serving up a menu of specialty or custom pizzas for takeout or delivery.	true	true	4.07	41	{"1": 8, "2": 1, "3": 1, "4": 1, "5": 30}	Delivery, Onsite services, Takeout	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Comfort food, Quick bite	Lunch, Dinner, Counter service, Dessert	null	Casual	College students	null	Credit cards, Debit cards	Good for kids	true	true	purchase_dataset@	true	true	7	2021-02-23	2026-02-03	1,871	65	45	1,871	1,871	65	65	https://www.instagram.com/marcosworldnyc	marcosworldnyc	https://www.facebook.com/marcospizza	marcospizza	https://twitter.com/marcospizza	marcospizza	https://www.tiktok.com/@marcospizzaelp	marcospizzaelp	null	null	https://www.youtube.com/channel/ucvinl37zmynfdxqfj7eu39q	ucvinl37zmynfdxqfj7eu39q	https://github.com/marcos-mri	marcos-mri	null	null	https://www.pinterest.com/marcoscommarcos	marcoscommarcos	303,743	5.11	null	2.91	3.96	5.11	661	40	7	243	4.04	null	null	null	null	null	null	null	2026-04-06T09:24:41.698857+00:00	263.44	0.31	0	7,280.25	93.3	192.7481	0.14	81.4	54.1	75.6	0.5716	0.75	0.322	0.5511	0.5716	0.3672	0.2049	0.0985	66.1	78.6	100	0	0	55.56	33.33	11.11	71.43	23.81	4.76	75.61	21.95	2.44	improving	declining	0.428	-12.5	-0.2496	-15.9	2	9	21	41	-14.3	-12.2	-33.3	70.5	32.8	100	100	51	98	209	236	289	51,259	83,991	87,547	537,127	953,035	981,370	577,749	209	185,203	26	378,166	245,572	119	296,844	504,567	108	621,717	144	298	638	71,744	132,823	734,279	1,460,619	734,279	0.4319	0.0409	0.2619	-0.0409	-0.4078	0.6803	0.0512	0.0249	-0.0512	-0.1708	0.7114	0.0522	0.2094	-0.0522	-0.3553	107	25	118	185,203	162,208	378,166	0.7468	0.7792	0.4926	0.8133	0.3672	45.4	1.34	500	27	0.4469	-0.8	-1.02	-459	-24.6	0.1247	245,572	96,690	296,844	0.67	0.87	0.6081	0.8544	0.2049	49.6	1.83	1,000	29.3	0.4733	-5	-1.51	-959	-26.9	0.0983	504,567	121,468	621,717	0.3236	Strong	0.8359	0.1723	0.9432	0.0985	Strong	47.1	1.79	501	35.8	Average	0.4398	-2.5	-1.47	-460	-33.4	0.1318	26	119	108	326	111	competitive	0.0033	7.96	28	60	12	0	3,806	1,351	competitive	0.0003	1.5	28.8	44.1	27.1	0	6,252	5,006	competitive	0.0008	0.34	24.3	63.6	12.1	0	0.0575	0.3025	-0.0575	-0.4484	134	135	155	199	203	0.4307	0.2774	0.2555	0.2482	0.573	53.6	1.87	1,072	28.3	0.517	-9	-1.55	-1,031	-25.9	0.0546	competitive	0.0003	0.61	7.5	59	33.6	0	0.3321	0.12	6.23	0.0651	0.8191	-0.0651	-0.965	183	184	47,399	69,804	34,265	0.4353	0.1717	0.5928	0.1468	0.6182	66.7	3.1	3,870	30.5	0.8405	-22.1	-2.78	-3,829	-28.1	-0.2689	competitive	0.0001	0.0003	0.67	0.04	0.4035	0.059	0.2307	-0.059	-0.3766	791,801	41.1	0.94	531	20.4	0.4595	3.5	-0.62	-490	0.1121	0.6046	0.5349	0.2688	0.4277	0.5581	310,542	0.483	-18	366,378	577,392	44.5	8.8	0	46.7	791,802	48	57.1	3.94	486	23.3	0.405	-5.5	-1.77	-445	-0.0094	0.2128	0.0426	0.2128	0.4255	0.4468	38	66.75	-28.51	0.1702	48	11.62	860	524	1.2464	12,463.96	0.06	159,265	42	0.0243	242.97	0.11	384.62	0	84.03	0.01	92.59	0	74.07	0	54.35	-21.4	-3.71	3	-71.3	-2.3	null	null	null	null	null	0.02	-33,492	0.05	0.68	185,203	0.747	0.31	-208,326	0.281	0.71	245,572	0.67	0.26	-132,646	0.185	0.43	504,567	0.324	0.04	-14	0.085	0.33	155	0.431	0.04	4,179	-0.034	0.4	47,399	0.435	0.5716	null	null	41	0.07	2	0	0.844	decelerating	0.07	0.47	2	2	8	39	0.732	0.739	0.74	0	0.844	156,567	163,872	163,540	1	9	decelerating	0	null	70.27
PPF2NQ9G	K Asian Kitchen	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant	5540 College St, Beaumont, TX 77707	5540 College St	Beaumont	Texas	null	null	77,707	US	true	30.06822	-94.154362	America/Chicago	(409) 84-***	2	OPERATIONAL	true	true	null	true	Beaumont	Texas	US	https	https://themenustar6.com/webspace/menus.php?code=orderkasiankitchen.com	themenustar6.com/webspace/menus.php?code=orderkasiankitchen.com	themenustar6.com	com	1,927	2020-12-29	2026-12-29	IONOS SE	null	null	0	0	0	Fried fish & boiled shellfish turned out in humble, compact quarters with booth seating.	true	true	4.34	832	{"1": 56, "2": 27, "3": 68, "4": 177, "5": 586}	Delivery, Drive-through, Onsite services, Takeout, Dine-in	Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Small plates	Lunch, Dinner	Restroom	Casual, Quiet, Trendy	College students, Groups, Tourists	Accepts reservations, Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, 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	https://themenustar6.com/webspace/menus.php?code=orderkasiankitchen.com	https://themenustar6.com/webspace/menus.php?code=orderkasiankitchen.com	https://themenustar6.com/webspace/menus.php?code=orderkasiankitchen.com	2026-04-06T03:10:37.394776+00:00	0	0.22	3.3	10,739.32	456.9	192.7481	0.17	86.8	97.4	84.3	0.6753	null	0.1621	0.3146	0.5181	0.0449	0.2755	0.1125	58.1	75.9	null	null	null	60	40	0	62.5	25	12.5	78.13	15.63	6.25	stable	declining	null	-17.8	-0.356	-23.5	0	5	8	32	25	-37.5	-100	65.2	27.4	0	67	65	98	65	170	74	15,646	61,232	20,440	131,587	699,702	183,364	141,804	65	671,063	3	361,213	166,974	101	235,739	442,479	101	564,853	97	298	638	71,744	132,823	734,279	1,460,619	734,279	0.4812	0.0484	0.2424	-0.0484	-0.1391	0.1992	-0.5	-0.5643	0.5	0.6676	0.7701	0.0665	0.1969	-0.0665	-0.0936	100	2	100	671,063	732,444	361,213	0.0994	0.016	0.5154	0.006	0.0449	34.1	0.04	518	0.3	0.2607	18.8	2.59	390	46.3	0.4146	166,974	114,811	235,739	0.7742	0.8459	0.6887	0.7646	0.2755	51.2	1.74	1,124	25	0.498	1.7	0.89	-216	21.6	0.1773	442,479	134,753	564,853	0.4036	Emerging	0.8182	0.2478	0.863	0.1125	Strong	48.4	1.72	656	30	Average	0.4511	4.5	0.91	252	16.6	0.2242	3	101	101	570	163	concentrated	0.4673	0.64	100	0	0	0	2,800	1,614	competitive	0.008	1.27	15	60	25	0	6,324	5,043	competitive	0.0137	0.32	25	56	19	0	0.0733	0.2439	-0.0733	-0.1406	100	101	90	100	80	0.6715	0.6387	0.7117	0.7372	0.792	53	1.45	1,238	20.3	0.4786	-0.1	1.18	-330	26.3	0.1967	competitive	0.0073	0.45	8	56	36	0	0.6737	0.17	4.6	0.1115	0.8248	-0.1115	-0.7215	100	101	18,957	21,606	44,919	0.7733	0.7422	0.4674	0.8024	0.6891	59.9	2.05	5,034	15.8	0.8918	-7	0.58	-4,126	30.8	-0.2165	competitive	0.0018	0.0001	1.22	0.02	0.6722	0.059	0.2307	-0.059	-0.1274	791,801	41.1	0.94	531	20.4	0.4595	11.8	1.69	377	0.2158	0.8194	0.7398	0.8214	0.7556	0.6971	141,587	0.7961	26.2	204,912	141,275	44.5	8.8	0	46.7	791,802	252	54.5	4.15	402	40.5	0.4418	7.7	0.13	430	0.2449	0.5657	0.3506	0.7928	0.6653	0.6932	110	64.08	26.7	0.7371	252	8.67	1,153	524	1.0739	10,739.32	0.03	291,455	42	0.0173	172.72	2,183.87	3,333.33	0.64	99.01	1.87	99.01	0.53	99.01	0.03	99.01	-16.2	-1.72	77	-37.8	-36.1	null	null	null	null	null	-0.12	117,230	-0.145	0.2	671,063	0.099	0.38	-283,909	0.381	0.77	166,974	0.774	0.32	-186,362	0.253	0.48	442,479	0.404	0.07	-38	0.158	0.67	90	0.672	0.05	-15,890	0.202	0.67	18,957	0.773	0.6753	null	null	832	0.03	1	0.333	0.349	decelerating	0.03	0.23	1	1	5	27	0.507	0.515	0.517	0.333	0.349	253,363	266,224	265,236	6	545	decelerating	-0.07	null	87.94
CPNW72DF	China Star Buffet	Food and Drink	Restaurants	Buffet restaurant	Buffet restaurant, Restaurant	4260 Dowlen Rd, Beaumont, TX 77706	4260 Dowlen Rd	Beaumont	Texas	null	null	77,706	US	true	30.121252	-94.162813	America/Chicago	(409) 89-***	2	null	true	true	null	true	Beaumont	Texas	US	http	http://chinastarbuffet.site	chinastarbuffet.site	chinastarbuffet.site	site	606	2024-08-11	2026-08-11	Nics Telekomunikasyon A.S.	null	null	0	0	0	null	true	false	3.15	1,041	{"1": 332, "2": 110, "3": 210, "4": 272, "5": 486}	Onsite services, Takeout, Dine-in	Fast service, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, All you can eat, Beer, Coffee, Comfort food, Healthy options, Quick bite, Salad bar, Veget(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Quiet, Trendy	College students, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	3	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/chinastarbuffet	chinastarbuffet	https://twitter.com/balloonboyjimmy	balloonboyjimmy	null	null	https://www.linkedin.com/company/china-star-buffet-restaurant-group-llc	china-star-buffet-restaurant-group-llc	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	2026-04-06T01:44:35.197655+00:00	0	0.32	2.1	12,451.99	205.7	255.7252	0.12	63	100	49.4	0.0274	null	-0.5387	-0.1425	-0.0567	0.3835	0.185	0.152	23.1	47.2	null	null	null	16.67	77.78	5.56	41.18	52.94	5.88	46.73	49.53	3.74	stable	declining	null	-24.1	-0.482	-51.1	0	18	51	107	-29.4	-32.7	-100	55.3	32.8	24	83	31.7	98	41	344	47	9,569	114,602	11,966	78,154	1,273,496	104,122	84,270	41	68,039	44	130,683	296,044	74	466,955	469,630	121	532,337	228	298	638	71,744	132,823	734,279	1,460,619	734,279	0.4983	-0.0009	0.1983	0.0009	-0.7577	0.8706	0.0909	0.4254	-0.0909	-0.9848	0.597	0.0625	0.1118	-0.0625	-0.6712	120	43	73	68,039	95,440	130,683	0.9058	0.8696	0.8246	0.8266	0.3835	49.3	1.62	863	27.7	0.4519	-0.3	0.77	546	-0.9	-0.4245	296,044	147,149	466,955	0.6023	0.8031	0.3838	0.8302	0.185	48.6	1.59	712	28	0.4654	0.4	0.8	697	-1.2	-0.438	469,630	89,567	532,337	0.3685	Market Leader	0.8786	0.2911	0.9452	0.152	Average	47.9	1.96	744	36	Average	0.4781	1.1	0.43	665	-9.2	-0.4507	44	74	121	568	67	competitive	0.0366	13.69	25.6	48.8	25.6	0	3,481	1,019	competitive	0.0264	0.93	21.9	57.5	20.5	0	7,079	5,013	competitive	0.0155	0.38	27.5	55.8	16.7	0	0.0579	0.3025	-0.0579	-0.8619	133	134	128	146	40	0.5365	0.4708	0.8577	0.4234	0.1022	53.8	1.88	1,079	28.4	0.5157	-4.8	0.51	330	-1.6	-0.4883	competitive	0.0097	0.6	6.8	59.4	33.8	0	0.6131	0.12	6.21	0.0651	0.819	-0.0651	-1.3784	183	184	38,543	37,158	6,416	0.5406	0.5586	0.9239	0.5109	0.1577	66.7	3.1	3,858	30.7	0.841	-17.7	-0.71	-2,449	-3.9	-0.8136	competitive	0.002	0.0003	0.67	0.04	0.661	0.059	0.2307	-0.059	-0.7901	791,801	41.1	0.94	531	20.4	0.4595	7.9	1.45	878	-0.4321	0.7334	0.7079	0.904	0.6466	0.1685	209,025	0.7769	6.4	230,375	75,910	44.5	8.8	0	46.7	791,802	252	54.5	4.15	402	40.5	0.4418	3.6	-1.15	639	-0.3688	0.4462	0.0558	0.8606	0.3108	0.2669	139	64.08	-2.64	0.2749	252	11.54	867	524	1.2452	12,451.99	0.06	159,265	42	0.0242	242.25	13.38	227.27	6.97	135.14	2.42	82.64	0.94	74.63	0.04	54.35	-12.7	-0.76	374	-22.4	-41.5	null	null	null	null	null	0.16	-118,727	0.165	0.87	68,039	0.906	0.31	-247,008	0.332	0.6	296,044	0.602	0.27	-122,052	0.168	0.5	469,630	0.369	0.27	-80	0.327	0.61	128	0.537	0.24	-14,497	0.19	0.66	38,543	0.541	0.0274	null	null	1,041	0.07	2	1	0.648	decelerating	0.07	0.47	2	2	21	76	0.732	0.739	0.74	1	0.648	156,567	163,872	163,540	1	53	decelerating	-0.33	null	54.12
U5CKS7QC	Kajun Seafood & Wings	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant, Fast food restaurant, Restaurant	597 S 11th St, Beaumont, TX 77701	597 S 11th St	Beaumont	Texas	null	null	77,701	US	true	30.072159	-94.12925	America/Chicago	(409) 83-***	2	OPERATIONAL	true	true	null	true	Beaumont	Texas	US	https	https://sites.google.com/view/kajun-seafood-wings-iii-site/home	sites.google.com/view/kajun-seafood-wings-iii-site/home	sites.google.com	com	10,433	1997-09-15	2028-09-14	MarkMonitor, Inc.	null	null	0	0	0	null	true	false	4.47	562	{"1": 20, "2": 10, "3": 37, "4": 125, "5": 388}	Delivery, Drive-through, Takeout, Dine-in	Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Small plates	Lunch, Dinner, Seating	Restroom	Casual, Cozy, Quiet, 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	2026-04-06T00:16:18.582394+00:00	0	0.22	3.7	10,739.32	457.1	192.7481	0.17	89.4	91.7	88.6	0.7361	null	0.8333	0.7516	0.7242	0.3082	0.3109	0.0644	91.7	86.2	null	null	null	83.33	0	16.67	81.25	6.25	12.5	84.85	9.09	6.06	stable	improving	null	5.5	0.1091	6.4	0	6	16	33	-25	-27.3	-100	68.9	27.4	0	50	97.3	98	105	130	120	23,442	48,634	31,599	209,112	553,055	303,495	223,891	105	144,946	25	161,606	158,019	101	289,755	492,396	90	548,350	71	298	638	71,744	132,823	734,279	1,460,619	734,279	0.4441	0.0396	0.1762	-0.0396	0.8238	0.7802	-0.071	0.2221	0.071	0.7779	0.7687	0.0789	0.2161	-0.0789	0.7839	89	24	100	144,946	184,905	161,606	0.8016	0.7488	0.7831	0.7302	0.3082	46.5	1.26	792	23.3	0.4286	8.2	1.19	-216	23.6	0.3075	158,019	76,553	289,755	0.7859	0.897	0.6175	0.8456	0.3109	51.4	1.94	1,014	28.8	0.509	3.3	0.51	-438	18.1	0.2271	492,396	179,564	548,350	0.3391	Strong	0.7582	0.2699	0.7891	0.0644	Strong	47.4	1.51	701	26.1	Average	0.4058	7.3	0.94	-125	20.8	0.3303	25	101	90	504	81	competitive	0.0294	7.64	41.7	45.8	12.5	0	2,993	1,133	competitive	0.0056	1.27	15	59	26	0	6,459	5,039	competitive	0.0091	0.28	30.3	50.6	19.1	0	0.0733	0.2439	-0.0733	0.7561	100	101	75	111	130	0.7299	0.5985	0.5292	0.7482	0.8869	53	1.45	1,238	20.3	0.4786	1.7	1	-662	26.6	0.2575	competitive	0.0046	0.45	8	56	36	0	0.6303	0.17	4.6	0.1115	0.8248	-0.1115	0.1752	100	101	16,245	24,071	50,110	0.8055	0.7131	0.4057	0.8043	0.7758	59.9	2.05	5,034	15.8	0.8918	-5.2	0.4	-4,458	31.1	-0.1557	competitive	0.0011	0.0001	1.22	0.02	0.6578	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	13.6	1.51	45	0.2766	0.8484	0.7149	0.7167	0.7574	0.7875	118,824	0.7688	26.5	224,810	224,000	44.5	8.8	0	46.7	791,802	252	54.5	4.15	402	40.5	0.4418	8.2	0.28	160	0.3117	0.5936	0.4622	0.6693	0.4263	0.7968	103	64.08	29.8	0.8645	252	8.67	1,153	524	1.0739	10,739.32	0.03	291,455	42	0.0173	172.72	8.66	400	0.32	99.01	0.84	111.11	0.21	99.01	0.01	99.01	-16	-2.03	16	-41.9	-36.1	null	null	null	null	null	0.28	-216,247	0.299	0.78	144,946	0.802	0.39	-324,110	0.435	0.77	158,019	0.786	0.3	-144,817	0.2	0.44	492,396	0.339	0.01	-33	0.148	0.63	75	0.73	0.02	-14,163	0.18	0.66	16,245	0.806	0.7361	null	null	562	0.03	1	0.333	0.349	decelerating	0.03	0.23	1	1	5	21	0.507	0.515	0.517	0.333	0.349	253,363	266,224	265,236	6	545	decelerating	-0.1	null	90.88
3UATT578	Checkers	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant, American restaurant, Chicken restaurant, Hamburger restaurant, Sandwich shop	4215 E Lucas Dr, Beaumont, TX 77708	4215 E Lucas Dr	Beaumont	Texas	null	T.A.C.T.I.C.	77,708	US	true	30.119177	-94.142966	America/Chicago	(409) 33-***	1	OPERATIONAL	true	true	null	true	Beaumont	Texas	US	https	https://checkersandrallys.com/location/-1524565	checkersandrallys.com/location/-1524565	checkersandrallys.com	com	4,313	2014-06-18	2026-06-18	GoDaddy.com, LLC	null	null	0	0	0	null	true	false	4.13	430	{"1": 37, "2": 8, "3": 57, "4": 90, "5": 236}	Outdoor seating, Delivery, Drive-through, Onsite services, Takeout	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom	Late-night food, Quick bite	Lunch, Dinner, Dessert, Seating	Restroom	Casual	Family-friendly	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	6	2024-01-10	2026-03-06	820	34	89	820	820	34	34	https://www.instagram.com/checkersrallys	checkersrallys	https://www.facebook.com/checkersrallys	checkersrallys	https://twitter.com/checkersrallys	checkersrallys	https://www.tiktok.com/@checkersrallys	checkersrallys	null	null	https://www.youtube.com/channel/uc5chdaddb5d8iwah3erex7q	uc5chdaddb5d8iwah3erex7q	null	null	null	null	null	null	151,949	0.17	null	0.17	0.17	0.17	1,572	102,600	283	387,800	1.11	null	4.38	2.81	2.01	https://places.singleplatform.com/checkers-707/menu	null	null	2026-04-05T21:01:57.549512+00:00	131.79	0.46	0	7,001.01	130.2	192.7481	0.14	82.6	87.8	76.3	0.5267	null	1	0.8824	0.706	0.077	0.2715	0.2084	100	85.3	null	null	null	100	0	0	94.12	5.88	0	85.19	11.11	3.7	stable	improving	null	14.7	0.294	17.2	0	5	17	54	-41.2	-63	-100	72.1	9.5	80	67	95.6	98	126	223	148	28,123	79,701	38,870	258,655	904,336	386,593	277,253	126	572,029	7	327,990	138,626	101	339,304	378,635	101	485,261	136	298	638	71,744	132,823	734,279	1,460,619	734,279	0.5555	0.0282	0.2292	-0.0282	0.7708	0.4266	0	-0.2026	0	1.2026	0.7525	0.074	0.2729	-0.074	0.7271	100	6	100	572,029	327,576	327,990	0.2293	0.5564	0.5598	0.4089	0.077	37.5	0.83	554	13	0.3093	19.3	1.05	-127	20.5	0.2174	138,626	94,695	339,304	0.8128	0.8726	0.5521	0.8632	0.2715	51.9	1.84	921	29.8	0.4967	4.9	0.04	-494	3.7	0.03	378,635	111,651	485,261	0.4867	Average	0.8489	0.3538	0.8533	0.2084	Strong	49.4	1.84	869	29.4	Average	0.5093	7.4	0.04	-442	4.1	0.0174	7	101	101	309	58	concentrated	0.1138	1.91	50	50	0	0	2,933	1,123	competitive	0.0046	1.27	17	54	29	0	6,543	5,106	competitive	0.0049	0.32	17	66	17	0	0.0733	0.2438	-0.0733	0.7562	100	101	59	153	150	0.7883	0.4453	0.4562	0.5073	0.562	52.8	1.44	1,238	20	0.4802	4	0.44	-811	13.5	0.0465	competitive	0.0034	0.45	8	56	36	0	0.5858	0.17	4.58	0.1115	0.8248	-0.1115	0.1752	100	101	13,483	31,328	53,402	0.8387	0.627	0.3666	0.6746	0.4985	59.9	2.05	5,034	15.8	0.8918	-3.1	-0.17	-4,607	17.7	-0.3651	competitive	0.0008	0.0001	1.22	0.02	0.6336	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	15.7	0.94	-104	0.0672	0.8766	0.6523	0.6466	0.6828	0.5071	96,746	0.7403	13.1	274,427	279,381	44.5	8.8	0	46.7	791,802	48	57.1	3.94	486	23.3	0.405	6.2	0	-56	0.1093	0.617	0.3191	0.4894	0.617	0.6596	19	66.75	20.25	0.8085	48	8.67	1,153	524	1.0737	10,737.24	0.03	291,455	42	0.0173	172.72	129.59	1,428.57	0.21	99.01	0.24	99.01	0.12	99.01	0.01	99.01	-20.3	-2.24	-2	-42.7	-56	null	null	null	null	null	0	124,456	-0.157	0.43	572,029	0.229	0.37	-333,916	0.448	0.75	138,626	0.813	0.34	-216,136	0.291	0.56	378,635	0.487	-0.01	9	-0.022	0.59	59	0.788	0.02	-1,027	0.018	0.63	13,483	0.839	0.5267	null	null	430	0	0	0	0	decelerating	0.1	0.7	3	3	12	55	0.557	0.57	0.571	0.315	0.325	331,227	345,950	344,596	32	4,283	decelerating	-0.03	null	85.18
XMNS7KPH	Black Bear Diner Beaumont	Food and Drink	Restaurants	American restaurant	American restaurant, Breakfast restaurant, Family restaurant, Hamburger restaurant	5405 Walden Rd, Beaumont, TX 77705	5405 Walden Rd	Beaumont	Texas	null	Tyrrell Park	77,705	US	true	30.037074	-94.156055	America/Chicago	(409) 84-***	2	null	true	true	null	true	Beaumont	Texas	US	https	https://blackbeardiner.com/location/beaumont	blackbeardiner.com/location/beaumont	blackbeardiner.com	com	9,555	2000-02-10	2034-02-10	Network Solutions, LLC	"purchase_dataset@blackbeardiner.com, purchase_dataset@blackbeardiner.com, purchase_dataset@blackbea(...TRUNCATED)	realdomain	25	24	1	Easygoing chain serving familiar all-day comfort food & desserts in a woodsy setting.	true	true	4.18	1,017	{"1": 194, "2": 87, "3": 168, "4": 516, "5": 2237}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert, Great tea selection, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Healthy options, Late-night food, Quick bite, Small plates, Ve(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Trendy	Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	false	true	purchase_dataset@	true	true	6	2025-01-14	2026-02-03	450	65	24	450	450	65	65	https://www.instagram.com/blackbeardiner	blackbeardiner	https://www.facebook.com/blackbeardiner	blackbeardiner	https://twitter.com/blackbeardiner	blackbeardiner	null	null	https://www.linkedin.com/company/black-bear-diners-inc	black-bear-diners-inc	https://www.youtube.com/user/blackbeardiner	blackbeardiner	null	null	null	null	https://www.pinterest.com/blackbeardiner	blackbeardiner	48,932	0.49	null	0.45	0.4	0.4	2,178	null	null	null	null	null	null	null	null	https://blackbeardiner.com/menus/?store=beau	null	null	2026-04-05T13:39:04.583730+00:00	56.44	0.16	0	12,245.91	102.1	255.7252	0.12	83.6	100	78.6	0.5841	null	0.3654	0.2261	0.1705	0.4871	0.1319	0.1367	68.3	58.5	null	null	null	68.75	31.25	0	61.29	35.48	3.23	59.15	39.44	1.41	stable	improving	null	9.8	0.1949	16.8	0	16	62	142	-48.4	-54.9	-100	72.9	27.4	64	100	60.8	96	46	213	53	11,422	75,656	14,521	92,562	860,651	125,505	99,715	46	7,181	10	16,889	443,992	85	486,307	442,479	134	547,300	127	298	638	71,744	132,823	734,279	1,460,619	734,279	0.4818	0.0832	0.2417	-0.0832	-0.1698	0.9876	0	0.4435	0	-0.3716	0.5108	-0.0073	0.1063	0.0073	-0.0344	133	9	84	7,181	4,195	16,889	0.9902	0.9943	0.9774	0.9275	0.4871	56.7	3.06	1,732	34.9	0.4823	8.3	1.12	1,470	-9.9	0.1018	443,992	149,444	486,307	0.4082	0.8	0.3582	0.8632	0.1319	45.9	1.58	681	29.8	0.4411	19.1	2.6	2,521	-4.8	0.143	442,479	150,847	547,300	0.4036	Market Leader	0.7966	0.2713	0.8761	0.1367	Average	48.4	1.64	704	30.8	Average	0.4684	16.6	2.54	2,498	-5.8	0.1157	10	85	134	452	169	moderate	0.1704	2.86	11.1	44.4	44.4	0	4,144	2,315	competitive	0.053	1.07	33.3	53.6	13.1	0	7,625	5,008	competitive	0.0331	0.42	29.3	47.4	23.3	0	0.0579	0.3042	-0.0579	-0.2323	133	134	26	36	9	0.9088	0.8723	0.9708	0.4197	0.6022	53.6	1.85	1,056	28.3	0.5165	11.4	2.33	2,146	-3.3	0.0676	competitive	0.0223	0.6	7.5	59.4	33.1	0	0.9164	0.12	6.18	0.0648	0.8195	-0.0648	-0.7476	184	185	11,715	15,517	1,440	0.8598	0.8148	0.9829	0.4997	0.6357	66.7	3.11	3,857	30.7	0.8399	-1.7	1.07	-655	-5.7	-0.2558	competitive	0.0045	0.0003	0.66	0.04	0.8832	0.059	0.2307	-0.059	-0.1588	791,801	41.1	0.94	531	20.4	0.4595	23.9	3.24	2,671	0.1246	0.9573	0.8826	0.9816	0.6364	0.5732	33,243	0.9421	4.6	92,599	14,567	44.5	8.8	0	46.7	791,802	252	54.5	4.15	402	40.5	0.4418	20	0.03	615	0.1451	0.9084	0.2829	0.8526	0.9402	0.5498	23	64.08	16.22	0.4701	252	11.54	867	524	1.2186	12,186.2	0.06	158,399	42	0.0243	243.47	290.43	1,000	28.13	117.65	10.93	74.63	4.97	74.63	0.2	54.05	-14	-0.01	2,192	-53.6	-48.6	null	null	null	null	null	0.22	-117,912	0.164	0.99	7,181	0.99	0.33	-188,065	0.256	0.51	443,992	0.408	0.21	-96,045	0.132	0.48	442,479	0.404	0.19	-10	0.042	0.92	26	0.909	0.16	1,289	-0.01	0.88	11,715	0.86	0.5841	null	null	1,017	0.03	1	0.333	0.428	decelerating	0.03	0.23	1	1	38	148	0.507	0.515	0.517	0.333	0.428	253,363	266,224	265,236	2	565	decelerating	-0.04	null	77.48
6SN7JQSH	Freddy's Frozen Custard & Steakburgers	Food and Drink	Restaurants	Hamburger restaurant	Hamburger restaurant	4490 Crow Rd, Beaumont, TX 77706	4490 Crow Rd	Beaumont	Texas	null	null	77,706	US	true	30.122743	-94.155767	America/Chicago	(409) 23-***	0	null	true	false	null	true	Beaumont	Texas	US	https	https://freddys.com/location/beaumont-tx	freddys.com/location/beaumont-tx	freddys.com	com	10,115	1998-07-30	2028-07-29	NAMECHEAP INC	purchase_dataset@freddysusa.com, purchase_dataset@gmail.com, purchase_dataset@freddysusa.com	null	3	3	0	null	true	false	4.3	70	{"1": 9, "2": 1, "3": 4, "4": 10, "5": 56}	Delivery, Drive-through, Onsite services, Dine-in	Great dessert	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite	Lunch, Dinner, Counter service, Dessert	Restroom	Casual, Trendy	College students, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-06-10	2026-02-07	303	61	73	303	303	61	61	https://www.instagram.com/freddysusa	freddysusa	https://www.facebook.com/freddysusa	freddysusa	https://twitter.com/freddysusa	freddysusa	https://www.tiktok.com/@freddysusa	freddysusa	https://www.linkedin.com/company/freddy-s-p-a-	freddy-s-p-a-	https://www.youtube.com/freddysusa	freddysusa	null	null	null	null	null	null	110,800	0.16	null	0.13	0.16	0.16	3,041	15,700	257	162,400	2.97	null	4.04	2.98	2.97	null	null	null	2026-04-05T13:27:34.224189+00:00	96.1	0.61	0	7,132.03	108.6	192.7481	0.14	86	61.7	82.9	0.6344	null	0.7322	0.6344	0.6344	0.2527	0.2007	0.1287	86.6	81.7	null	null	null	94.12	5.88	0	82.86	12.86	4.29	82.86	12.86	4.29	stable	improving	null	4.9	0.0978	6	0	17	70	70	-51.4	-2.9	-100	74	32.8	88	83	75.8	96	192	184	256	47,918	65,675	78,797	500,298	751,082	876,320	537,429	192	75,305	36	100,723	285,400	72	422,944	500,692	132	543,968	108	298	638	71,744	132,823	734,279	1,460,619	734,279	0.4664	0.0038	0.1609	-0.0038	0.2781	0.8877	0.0461	0.3858	-0.0461	0.0532	0.6157	0.0948	0.1732	-0.0948	0.2658	131	35	71	75,305	73,320	100,723	0.896	0.8996	0.8649	0.8602	0.2527	49	1.74	952	29.6	0.4097	15.9	1.35	-872	22.9	0.2247	285,400	158,422	422,944	0.6169	0.7881	0.4418	0.8031	0.2007	48.8	1.54	783	26.7	0.4717	16.1	1.55	-703	25.8	0.1627	500,692	117,579	543,968	0.3286	Market Leader	0.8409	0.2757	0.9185	0.1287	Average	47.2	1.81	713	33.7	Average	0.4631	17.7	1.28	-633	18.8	0.1713	36	72	132	541	151	competitive	0.0024	11.14	25.7	51.4	22.9	0	3,039	1,049	competitive	0.0014	0.9	22.5	54.9	22.5	0	6,924	5,002	competitive	0.0009	0.42	29	55	16	0	0.0579	0.3014	-0.0579	0.1376	133	134	27	95	188	0.9051	0.6496	0.3139	0.708	0.6679	53.6	1.86	1,080	28.1	0.5161	11.3	1.23	-1,000	24.4	0.1183	competitive	0.0006	0.6	7.5	59.4	33.1	0	0.6511	0.12	6.18	0.0648	0.8196	-0.0648	-0.3806	184	185	11,965	29,223	30,879	0.8568	0.6519	0.6335	0.7334	0.7037	66.8	3.1	3,853	30.7	0.8409	-1.9	-0.01	-3,773	21.8	-0.2065	competitive	0.0001	0.0003	0.66	0.04	0.7283	0.059	0.2307	-0.059	0.2083	791,801	41.1	0.94	531	20.4	0.4595	23.8	2.15	-451	0.1749	0.9565	0.8005	0.3339	0.8899	0.6387	33,846	0.7229	32.1	157,122	526,179	44.5	8.8	0	46.7	791,802	48	57.1	3.94	486	23.3	0.405	18.1	0.21	-416	0.2817	1	0.5532	0.2553	0.9149	0.8085	1	66.75	19.92	0.766	48	11.54	867	524	1.2457	12,457.02	0.06	158,399	42	0.0243	243.24	0.06	277.78	0.02	138.89	0.01	75.76	0	74.63	0	54.05	-11.2	-1.19	20	-30.8	-23.1	null	null	null	null	null	0.22	-173,188	0.24	0.89	75,305	0.896	0.31	-233,212	0.314	0.62	285,400	0.617	0.25	-87,878	0.124	0.47	500,692	0.329	0.12	-34	0.133	0.65	27	0.905	0.18	-4,812	0.065	0.73	11,965	0.857	0.6344	null	null	70	0.07	2	0.8	0.601	decelerating	0.07	0.47	2	2	15	52	0.732	0.739	0.74	0.8	0.601	156,567	163,872	163,540	1	368	decelerating	-0.06	null	84.62
L8E4MG2C	Courville's	Food and Drink	Restaurants	Mobile caterer	Mobile caterer, Event planner, Event venue, Live music venue, Lunch restaurant, Meat processor	1744 Rose Ln, Beaumont, TX 77713	1744 Rose Ln	Beaumont	Texas	null	null	77,713	US	true	30.060601	-94.235247	America/Chicago	(409) 86-***	2	OPERATIONAL	true	true	null	true	Beaumont	Texas	US	https	https://courvillestx.com	courvillestx.com	courvillestx.com	com	1,350	2022-07-29	2026-07-29	Squarespace Domains LLC	purchase_dataset@courvillestx.com, purchase_dataset@courvillestx.com	realdomain	2	2	0	null	true	false	4.74	168	{"1": 1, "2": 1, "3": 9, "4": 19, "5": 140}	No-contact delivery, Delivery, Takeout, Dine-in	null	null	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	null	null	null	null	null	null	Credit cards, Debit cards	null	false	true	purchase_dataset@	true	true	4	2022-09-24	2026-01-27	1,293	72	42	1,293	1,293	72	72	https://www.instagram.com/courvillestx	courvillestx	https://www.facebook.com/courvillestx	courvillestx	https://twitter.com/unclelucius	unclelucius	https://www.tiktok.com/@courvillestx	courvillestx	null	null	null	null	null	null	null	null	null	null	1,865	1.79	null	1.79	1.79	1.79	571	338	20	339	4.58	null	null	null	null	null	null	null	2026-04-05T10:21:23.311387+00:00	2.15	0	0.4	13,019.38	153.6	255.7252	0.12	94.8	74.3	93.5	0.6956	null	0.4082	0.4356	0.687	null	null	null	70.4	84.4	null	null	null	100	0	0	100	0	0	100	0	0	stable	declining	null	-14	-0.2788	-16.6	0	1	2	6	0	-33.3	-100	73.8	9.5	84	83	69.8	96	168	43	214	40,621	24,769	61,281	409,118	265,764	662,099	438,154	168	null	null	null	null	null	null	null	null	null	20	298	638	71,744	132,823	734,279	1,460,619	734,279	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	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	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	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	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	252	54.5	4.15	402	40.5	0.4418	17.3	0.68	-234	0.4548	0.8606	0.7012	0.4502	0.4183	0.9482	35	64.08	35.32	0.9602	252	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	-24.9	-2.38	2	-46.4	-42.9	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	0.6956	null	null	168	0	0	0	0	decelerating	0	0	0	0	1	5	null	null	null	0	0	null	null	null	1	79	decelerating	null	null	68.45
SMWWK78L	Lupe Tortilla Mexican Restaurant	Food and Drink	Restaurants	Tex-Mex restaurant	Tex-Mex restaurant, Bar, Bar & grill, Mexican restaurant, Restaurant	2050 I-10 S, Beaumont, TX 77707	2050 I-10 S	Beaumont	Texas	null	South 23rd Street	77,707	US	true	30.057684	-94.138362	America/Chicago	(409) 34-***	1	OPERATIONAL	true	true	null	true	Beaumont	Texas	US	https	https://originallupetortilla.com	originallupetortilla.com	originallupetortilla.com	com	3,664	2016-03-28	2027-03-28	GoDaddy.com, LLC	null	null	0	0	0	Regional Tex-Mex chain known for its homemade tortillas & variety of margaritas.	true	true	4.1	0	{"1": 154, "2": 90, "3": 203, "4": 460, "5": 1141}	Outdoor seating, Curbside pickup, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Live music, Serves local specialty, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), 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	https://originallupetortilla.com/our-menu.html	null	null	2026-04-05T06:31:08.947040+00:00	0	null	6.6	9,320.19	468.4	192.7481	0.17	0	0	50	null	null	null	null	null	0.6376	0.1313	0.0648	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	29.4	19.5	0	67	50	96	292	612	612	70,336	137,142	137,142	720,109	1,514,379	1,514,379	777,086	292	84,733	9	11,227	380,205	101	492,551	539,932	63	552,715	238	298	638	71,744	132,823	734,279	1,460,619	734,279	0.3992	-0.0013	0.1359	0.0013	-0.1359	0.9432	0	0.2852	0	-0.2852	0.5463	0.0203	0.162	-0.0203	-0.162	62	8	100	84,733	13,947	11,227	0.8835	0.981	0.9849	0.7605	0.6376	48.6	2.46	1,998	24.6	0.5273	-19.1	null	-1,998	25.4	-0.5273	380,205	138,022	492,551	0.4919	0.8151	0.3501	0.9057	0.1313	47.1	1.63	671	32.4	0.4408	-17.6	null	-671	17.6	-0.4408	539,932	225,131	552,715	0.2773	Market Leader	0.697	0.2641	0.7177	0.0648	Average	46.1	1.31	689	22.8	Below Average	0.4063	-16.6	null	-689	27.2	-0.4063	9	101	63	419	63	moderate	0	2.55	37.5	25	37.5	0	3,155	1,001	competitive	0	1.27	32	49	19	0	7,177	5,025	competitive	0	0.2	33.9	46.8	19.4	0	0.0234	0.3352	-0.0234	-0.3352	100	101	257	1	237	0.0657	0.9453	0.1204	0.5657	0.0511	54.2	2.05	1,074	31	0.5213	-24.7	null	-1,074	19	-0.5213	competitive	0	0.45	4	63	33	0	0.346	0.17	4.7	-0.002	0.8245	0.002	-0.8245	100	101	81,139	1	11,314	0.0371	0.9203	0.8608	0.5609	0.1671	74.6	4.43	2,961	45.6	0.7946	-45.1	null	-2,961	4.4	-0.7946	competitive	0	0.0001	1.22	0.03	0.5492	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-11.6	null	-531	-0.4595	0.2235	0.9087	0	0.7759	0.0391	612,771	0.362	29.6	1	717,607	44.5	8.8	0	46.7	791,802	252	54.5	4.15	402	40.5	0.4418	-25.1	null	-402	-0.4418	0.1992	0.7689	0	0.4382	0.0279	202	64.08	-64.08	0	252	8.67	1,153	524	0.932	9,320.19	0.03	291,455	42	0.0102	101.61	0	1,111.11	0	99.01	0	158.73	0	99.01	0	99.01	0	null	0	0	0	null	null	null	null	null	0.94	84,733	0.884	0.94	84,733	0.884	0.55	380,205	0.492	0.55	380,205	0.492	0.4	539,932	0.277	0.4	539,932	0.277	0.35	257	0.066	0.35	257	0.066	0.55	81,139	0.037	0.55	81,139	0.037	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

End of preview. Expand in Data Studio

All Restaurants in Beaumont, Texas, US

Free sample dataset from BeamStation

This dataset provides a complete export of every restaurant operating in Beaumont, Texas, United States. It contains 294 records, each representing a distinct establishment with all available profile columns included. The information is refreshed on a weekly basis, ensuring users have access to the most current listings, contact details, cuisine types, and any other attributes provided by the source. Researchers, market analysts, food‑service professionals, and developers building local dining guides or recommendation tools can rely on this collection for accurate, up‑to‑date coverage of the Beaumont restaurant landscape. By focusing on a single city, the file allows detailed geographic analysis without the noise of broader national datasets. Access the dataset directly via the provided URL to download the latest version and integrate it into your workflows or analytical pipelines.

Dataset Details

Field	Value
Full dataset	294 records
Sample size	29 records
Location	Beaumont
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/all-restaurants-in-beaumont-texas-us-110979")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 294 records and unmasked contact data is available at:

All Restaurants in Beaumont, Texas, US on BeamStation

License

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

Downloads last month: 57

Number of rows:

Total file size:

146 kB