Datasets:

beamstation
/

all-restaurants-in-wyoming-us-128918

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 float64	neighborhood float64	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age 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	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github 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	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_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 int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_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 int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
5NJ84YTA	Pokey's	Food and Drink	Restaurants	Barbecue restaurant	"Barbecue restaurant, American restaurant, Bar, Bar & grill, Caterer, Chicken restaurant, Chicken wi(...TRUNCATED)	408 S Douglas Hwy #2, Gillette, WY 82716	408 S Douglas Hwy #2	Gillette	Wyoming	null	null	82,716	US	true	44.290813	-105.494683	America/Denver	(307) 68-***	2	null	true	Gillette	Wyoming	US	https	https://pokeysbbq.com	pokeysbbq.com	pokeysbbq.com	com	7,097	2006-10-25	2026-10-25	Bluehost Inc.	purchase_dataset@gmail.com, purchase_dataset@khamu.com	null	2	2	0	Down-to-earth joint serving old-school BBQ fare, plus steaks & wild game such as kangaroo & gator.	4.39	1,044	{"1": 46, "2": 33, "3": 84, "4": 194, "5": 706}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, 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, Pr(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/porkeysbbq	porkeysbbq	https://www.facebook.com/pokeysbbq	pokeysbbq	https://twitter.com/khamusolutions	khamusolutions	null	null	https://www.linkedin.com/in/sammy-hoem-b0998719a	sammy-hoem-b0998719a	null	null	null	null	null	null	null	null	192	2.24	null	5.73	3.45	2.24	65	null	null	null	null	null	null	null	null	null	null	null	null	https://pokeysbbq.com	null	null	2026-03-29T14:47:22.830276+00:00	0.57	0.32	0.4	10,007.6	469.1	181.982	0.75	87.8	100	84.5	0.7008	0.5	0.448	0.5561	0.6739	0.6694	0.0223	0.0493	72.4	83.7	100	0	0	72.73	27.27	0	75.86	17.24	6.9	82.76	12.64	4.6	improving	declining	0.052	-11.3	-0.2259	-13.5	1	11	29	87	77.7	49.5	72	83	77.7	58	8	155	8	103	1,856	144	77,925	643,155	103,718	84,638	8	453,961	28	549,099	735,058	85	694,216	737,611	9	734,165	376	116	329	1,525	4,062	724,238	1,424,284	724,238	0.0085	0	0.209	0.1667	0.1444	0.3649	0.162	0.3173	0.0047	0.0361	0.032	0.1607	0.1865	0.006	0.1669	8	27	84	453,961	390,409	549,099	0.3775	0.4592	0.2538	0.6567	0.6694	63.3	3.97	298	80.2	0.5354	14.6	0.42	746	4.3	0.1654	735,058	738,838	694,216	0.0172	0.0122	0.0716	0.0243	0.0223	56.4	3.35	289	69	0.3454	21.5	1.04	755	15.5	0.3554	737,611	732,694	734,165	0.0052	Below Average	0.0117	0.0097	0.0504	0.0493	Emerging	46.6	3.16	30	72.5	Emerging	0.4042	31.3	1.23	1,014	12	0.2966	28	85	9	558	129	competitive	0.1147	8.59	7.4	29.6	51.9	11.1	2,137	1,056	competitive	0.0412	1.07	17.9	39.3	38.1	4.8	7,624	6,228	moderate	0.8118	0.03	37.5	50	12.5	0	0.1788	0.2791	-0.0121	0.0743	100	101	10	56	8	0.9313	0.5725	0.9466	0.6947	0.7863	63.2	4.12	327	77	0.4805	14.7	0.27	717	7.5	0.2203	competitive	0.0309	1.66	1	43	49	7	0.8282	0.77	18.92	0.2822	0.598	-0.1155	-0.2446	100	101	143	696	109	0.916	0.5889	0.9353	0.6408	0.7615	78.8	4.36	994	84.2	0.6727	-0.9	0.03	50	0.3	0.0281	competitive	0.0104	0.0004	1	1.37	0.8237	0.2094	0.3682	-0.0427	-0.0148	828,388	62.9	3.88	394	76.6	0.4737	15	0.51	650	0.2271	0.8696	0.535	0.8912	0.5983	0.7245	105,742	0.7757	7.9	378,286	89,396	24.3	58.7	7.7	9.2	828,389	91	56.6	4.12	256	73.6	0.4179	21.3	0.27	788	0.2829	0.9222	0.4889	0.9333	0.6222	0.7444	8	47.82	42.41	0.8222	91	29.94	334	555	0.9788	9,788.34	1.73	5,769	2	0.1724	1,723.65	131.62	357.14	16.99	117.65	6,590.51	1,111.11	9.57	99.01	1.08	99.01	-8	0	3	0.1	-41.5	null	null	null	null	null	0.05	-21,039	0.029	0.36	453,960	0.378	-0.01	8,437	-0.009	0.03	735,057	0.017	0	3,249	-0.002	0.01	737,610	0.005	0.7	-739,161	0.833	0.83	10	0.931	0.82	-827,521	0.916	0.82	143	0.916	0.7008	66.67	33.33	1,044	0.2	6	0	0.8	stable	0.2	1.4	6	6	16	92	0.774	0.782	0.782	0	0.8	173,580	180,528	180,244	1	3	stable	0.07	null	90.23
DSF2RWED	Las Margaritas \| Gillette	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	2107 S Douglas Hwy, Gillette, WY 82718	2107 S Douglas Hwy	Gillette	Wyoming	null	null	82,718	US	true	44.275401	-105.493515	America/Denver	(307) 68-***	2	null	true	Gillette	Wyoming	US	http	http://lasmargaritasgillette.com	lasmargaritasgillette.com	lasmargaritasgillette.com	com	4,017	2015-04-01	2026-04-01	Tucows Domains Inc.	null	null	0	0	0	Venerable, roadside institution providing classic Mexican fare & cocktails in low-key digs.	4.26	981	{"1": 65, "2": 38, "3": 80, "4": 259, "5": 645}	Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Serves local specialty	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, Happy hour food, Hard liquor, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	2	null	null	https://www.facebook.com/lasmargaritasmexicanrestaurantgillette	lasmargaritasmexicanrestaurantgillette	null	null	https://www.tiktok.com/@lasmargaritas.clt	lasmargaritas.clt	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	20	2	19	4.26	null	null	null	4.26	https://places.singleplatform.com/las-margaritas-family-mexican-restaurant-0/menu	null	null	2026-03-24T20:10:16.795032+00:00	0.06	0.16	1	10,224.99	938.5	181.982	0.75	85.2	99.7	83.1	0.6781	1	1	0.6592	0.6285	0.1813	0.056	0.0493	100	81.4	100	0	0	100	0	0	79.17	12.5	8.33	77.97	15.25	6.78	stable	improving	0	18.6	0.3715	22.9	1	3	24	59	79.2	35.1	68	83	97.4	94	11	187	13	144	2,197	236	101,702	784,007	140,902	110,459	11	541,607	51	434,316	738,176	62	720,660	737,611	9	734,165	490	116	329	1,525	4,062	724,238	1,424,284	724,238	0.0085	0	0.209	1	0.791	0.3153	0.21	0.2266	0.79	0.7734	0.0189	0.1072	0.2009	0.8928	0.7991	8	50	61	541,607	512,741	434,316	0.2602	0.295	0.4091	0.28	0.1813	61.4	3.82	378	73.4	0.3814	15	0.44	603	9.7	0.2967	738,176	741,592	720,660	0.0133	0.0088	0.0365	0.0368	0.056	55.4	3.23	221	70.4	0.4003	21	1.03	760	12.7	0.2778	737,611	732,694	734,165	0.0052	Below Average	0.0117	0.0097	0.0504	0.0493	Emerging	46.6	3.16	30	72.5	Emerging	0.4042	29.8	1.1	951	10.6	0.2739	51	62	9	466	77	competitive	0.0493	15.92	8	32	54	6	2,346	1,049	competitive	0.0678	0.78	21.3	41	31.1	6.6	6,177	5,202	moderate	0.8021	0.03	37.5	50	12.5	0	0.1704	0.2726	0.8296	0.7274	100	101	12	67	11	0.916	0.4962	0.9237	0.6565	0.7634	63.2	4.12	328	77	0.4808	13.2	0.14	653	6.1	0.1973	competitive	0.0291	1.66	1	43	49	7	0.7924	0.77	18.92	0.2738	0.594	0.7262	0.406	100	101	186	865	156	0.8904	0.4921	0.9096	0.6076	0.7411	78.8	4.36	1,001	84.2	0.6723	-2.4	-0.1	-20	-1.1	0.0058	competitive	0.0097	0.0004	1	1.37	0.7767	0.2094	0.3682	0.7906	0.6318	828,388	62.9	3.88	394	76.6	0.4737	13.5	0.38	587	0.2044	0.8276	0.4292	0.8584	0.5554	0.6904	140,418	0.7173	6.5	466,850	117,090	24.3	58.7	7.7	9.2	828,389	91	56.6	4.12	256	73.6	0.4179	19.8	0.14	725	0.2602	0.9	0.4222	0.9111	0.5889	0.7222	10	47.82	43.39	0.8333	91	29.94	334	555	0.9807	9,807.2	1.73	5,769	2	0.1735	1,735.04	24.33	196.08	45.93	161.29	6,434.06	1,111.11	8.45	99.01	0.94	99.01	3.4	0	2	0.1	-51	null	null	null	null	null	-0.04	54,757	-0.073	0.32	541,606	0.26	0	4,892	-0.004	0.02	738,174	0.013	0	3,249	-0.002	0.01	737,609	0.005	0.67	-737,801	0.816	0.79	12	0.916	0.77	-825,817	0.89	0.78	186	0.89	0.6781	100	0	981	0.1	3	0.5	0.582	decelerating	0.1	0.7	3	3	12	65	0.557	0.57	0.571	0.5	0.582	331,227	345,950	344,596	3	32	decelerating	0.1	null	91.21
S3YWGCSV	MrJims.Pizza	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Italian restaurant, Pizza delivery, Pizza Takeout	4001 Laramie St Unit B, Cheyenne, WY 82001	4001 Laramie St Unit B	Cheyenne	Wyoming	null	null	82,001	US	true	41.15076	-104.760742	America/Denver	(307) 41-***	2	null	true	Cheyenne	Wyoming	US	https	https://mrjims.pizza/001.cfm	mrjims.pizza/001.cfm	mrjims.pizza	pizza	null	null	null	null	"purchase_dataset@hotmail.com, purchase_dataset@iprimus.com.au, purchase_dataset@mrjims.pizza, purch(...TRUNCATED)	realdomain	4	3	1	Counter-serve chain offering pizza with lots of toppings in original or thinner-crust versions.	4.06	342	{"1": 37, "2": 14, "3": 33, "4": 66, "5": 190}	Outdoor seating, Curbside pickup, 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, All you can eat, Beer, Comfort food, Happy hour drinks, Late-night food, Quick bite, Small(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual, Quiet	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	6	https://www.instagram.com/mrjims.pizza	mrjims.pizza	https://www.facebook.com/ravpizza110	ravpizza110	https://twitter.com/mrjimsforney	mrjimsforney	https://www.tiktok.com/@mrjims.pizzakenner	mrjims.pizzakenner	https://www.linkedin.com/in/mrjim-johnson-a8387411	mrjim-johnson-a8387411	null	null	null	null	null	null	https://www.pinterest.com/hammel0489	hammel0489	393	1.4	null	1.8	1.4	1.4	159	null	null	null	null	7,837	426	12,600	7.25	null	3.98	7.25	7.25	https://mrjims.pizza/menu_all.cfm?store_number=1	null	null	2026-03-24T04:52:05.389866+00:00	12.04	0.18	0	13,689.97	183.8	147.016	1.5	81.2	84.5	75.4	0.5323	null	1	0.6586	0.6212	0.548	0.1289	0.0263	100	81.1	null	null	null	100	0	0	76.92	7.69	15.38	75.86	10.34	13.79	stable	improving	null	18.9	0.3788	23.3	0	2	13	29	81.2	42.8	100	100	94	94	119	381	221	541	2,694	940	299,524	956,433	458,166	321,594	119	249,124	15	325,762	522,493	101	417,011	710,527	92	642,189	659	237	657	1,525	4,062	724,238	1,424,284	724,238	0.0686	0.0797	0.2129	0.9203	0.7741	0.6263	0.1881	0.4142	0.8119	0.5728	0.3256	0.19	0.3332	0.81	0.6538	91	14	100	249,124	244,778	325,762	0.655	0.6579	0.5563	0.5215	0.548	67	4.15	450	77.8	0.4983	11.3	-0.08	-111	-2	0.034	522,493	554,986	417,011	0.2977	0.2468	0.4416	0.1857	0.1289	68.9	4.09	641	76	0.4529	9.4	-0.02	-302	-0.2	0.0794	710,527	710,442	642,189	0.0409	Average	0.0407	0.1334	0.032	0.0263	Below Average	59	3.66	375	70.7	Emerging	0.3574	19.3	0.41	-36	5.1	0.1749	15	101	92	783	595	competitive	0.0511	4.46	0	35.7	42.9	21.4	3,507	1,175	competitive	0.0053	1.27	0	16	73	11	6,446	5,025	competitive	0.0098	0.29	12.1	34.1	51.6	2.2	0.1955	0.3837	0.8045	0.6033	100	101	26	146	129	0.9035	0.4247	0.5058	0.4903	0.6178	72.3	4.09	831	76.3	0.5052	6	-0.02	-492	-0.5	0.0271	competitive	0.0041	1.06	0	3	81	16	0.6405	1.51	11.1	0.2738	0.594	0.7262	0.393	100	101	123	1,078	610	0.9283	0.3644	0.6437	0.4507	0.5673	78.8	4.36	1,001	84.2	0.6723	-0.5	-0.29	-662	-8.4	-0.14	competitive	0.0034	0.0004	1	1.37	0.6738	0.2094	0.3682	0.7906	0.6188	828,388	62.9	3.88	394	76.6	0.4737	15.4	0.19	-55	0.0586	0.8804	0.3083	0.5846	0.3838	0.4991	96,856	0.62	-0.8	568,582	343,597	24.3	58.7	7.7	9.2	828,389	167	61.5	4.14	422	75.2	0.4388	16.8	-0.07	-83	0.0935	0.8855	0.3253	0.5482	0.4096	0.5602	20	53.53	26.59	0.6145	167	15.35	651	687	1.2765	12,764.54	1.73	5,769	2	0.1735	1,735.04	26.1	666.67	0.28	99.01	0.97	108.7	0.16	99.01	0.11	99.01	2.3	0	0	0	-16.2	null	null	null	null	null	0	-19,709	0.027	0.63	249,122	0.655	-0.03	40,973	-0.054	0.33	522,489	0.298	-0.01	18,959	-0.023	0.07	710,521	0.041	0.3	-508,208	0.526	0.64	26	0.904	0.67	-825,880	0.928	0.67	123	0.928	0.5323	100	0	339	0.07	2	0.364	0.515	stable	0.07	0.47	2	2	7	35	0.439	0.452	0.454	0.364	0.515	417,455	437,538	435,431	7	25	stable	0.04	null	80.12
G68WDJ6W	Siam King Thai , Japanese & Chinese Cuisine	Food and Drink	Restaurants	Thai restaurant	Thai restaurant, Chinese restaurant	1679 Sunset Dr, Rock Springs, WY 82901	1679 Sunset Dr	Rock Springs	Wyoming	null	null	82,901	US	true	41.576874	-109.25471	America/Denver	(307) 38-***	2	null	true	Rock Springs	Wyoming	US	https	https://siamkingwy.aiyaorder.us/#	siamkingwy.aiyaorder.us/#	siamkingwy.aiyaorder.us	us	2,114	2020-06-16	2026-06-16	GoDaddy.com, LLC	null	null	0	0	0	"Old-fashioned fixture preparing sushi & other Japanese, Chinese & Thai dishes to eat in or take out(...TRUNCATED)	4.25	447	{"1": 30, "2": 13, "3": 33, "4": 109, "5": 262}	Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Quick bite, Small pla(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://siamkingwy.aiyaorder.us/#	https://siamkingwy.aiyaorder.us/#	https://siamkingwy.aiyaorder.us/#	2026-03-21T17:07:50.357724+00:00	0	0	4.8	13,535.66	2,240.6	193.4783	0.61	85	88.4	82.8	0.6529	null	0.0966	0.2008	0.4126	0.1906	0.1042	0.1723	54.8	70.6	null	null	null	0	0	100	60	30	10	72.73	22.73	4.55	stable	declining	null	-15.8	-0.316	-22.4	0	1	10	22	60.6	9.5	0	67	65.6	88	31	126	45	422	2,221	721	252,207	795,801	376,825	270,989	31	479,065	40	369,833	728,382	47	673,061	698,049	5	715,750	499	88	250	1,525	4,062	724,238	1,424,284	724,238	0.0938	0	0.25	0	-0.1534	0.3666	0.2705	0.3368	-0.2705	-0.2402	0.0567	0.125	0.2875	-0.125	-0.1909	4	39	46	479,065	534,056	369,833	0.344	0.2667	0.4966	0.1065	0.1906	62.8	3.79	421	68.6	0.3854	-5	0.46	26	14.2	0.2675	728,382	705,688	673,061	0.0259	0.0547	0.0998	0.101	0.1042	58	3.73	327	73.8	0.4386	-0.2	0.52	120	9	0.2143	698,049	585,331	715,750	0.0575	Below Average	0.2013	0.0345	0.184	0.1723	Emerging	60.7	4.14	165	77.8	Emerging	0.5094	-2.9	0.11	282	5	0.1435	40	47	5	524	86	competitive	0.0265	12.41	7.7	20.5	69.2	2.6	3,404	1,036	competitive	0.0288	0.59	17.4	30.4	47.8	4.3	6,262	5,209	concentrated	0.4038	0.01	0	75	0	25	0.1852	0.3109	-0.1852	-0.2143	88	89	67	40	37	0.3333	0.6061	0.6364	0.6667	0.7778	60.2	3.77	362	71.6	0.4161	-2.4	0.48	85	11.2	0.2368	competitive	0.0138	1.72	12.5	27.3	55.7	4.5	0.5061	0.62	22.52	0.2738	0.594	-0.2738	-0.4974	100	101	1,114	873	476	0.3469	0.484	0.723	0.6006	0.7149	78.8	4.36	1,001	84.2	0.6723	-21	-0.11	-554	-1.4	-0.0194	competitive	0.0044	0.0004	1	1.37	0.5009	0.2094	0.3682	-0.2094	-0.2716	828,388	62.9	3.88	394	76.6	0.4737	-5.1	0.37	53	0.1792	0.2872	0.4212	0.6518	0.5473	0.6534	588,810	0.4367	6.2	472,886	288,018	24.3	58.7	7.7	9.2	828,389	64	60.7	4.09	361	73.7	0.4712	-2.9	0.16	86	0.1817	0.3175	0.5238	0.6667	0.619	0.746	44	57.39	33.4	0.8413	64	37.41	267	460	1.3536	13,535.66	1.73	5,769	2	0.1735	1,735.04	7.02	250	8.32	212.77	1,630.5	2,000	1.92	112.36	0.2	99.01	-6.9	0	2	-0.1	-56.1	null	null	null	null	null	-0.05	58,980	-0.079	0.37	479,064	0.344	-0.01	10,566	-0.012	0.06	728,380	0.026	-0.01	16,084	-0.019	0.09	698,047	0.058	0.43	-775,417	0.279	0.51	67	0.333	0.5	-824,889	0.347	0.5	1,114	0.347	0.6529	null	null	447	0	0	0	0	decelerating	0.03	0.23	1	1	3	27	0.242	0.25	0.252	0	0.063	655,507	693,414	690,487	2	15	stable	0	-0.24	90.79
482ED79H	T-Joe's Steakhouse & Saloon	Food and Drink	Restaurants	Steak house	Steak house, Bar, Liquor store, Restaurant, Seafood restaurant	12700 Interstate 80 Service Rd, Cheyenne, WY 82009	12700 Interstate 80 Service Rd	Cheyenne	Wyoming	null	null	82,009	US	true	41.158263	-104.659965	America/Denver	(307) 63-***	2	null	true	Cheyenne	Wyoming	US	http	http://tjoescheyenne.com	tjoescheyenne.com	tjoescheyenne.com	com	1,354	2022-07-16	2026-07-16	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	Western-themed hangout offering hearty steaks, sandwiches & sides, plus a full bar & billiards.	4.46	1,058	{"1": 96, "2": 62, "3": 125, "4": 404, "5": 1680}	Outdoor seating, Curbside pickup, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Live music, Serve(...TRUNCATED)	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, He(...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/tjoessteakhouse	tjoessteakhouse	https://www.facebook.com/100063657801450/videos	100063657801450	https://twitter.com/tjoessteakhouse	tjoessteakhouse	https://www.tiktok.com/@tjoessteakhouse	tjoessteakhouse	https://www.linkedin.com/in/sherrie-lyle-17b55714a	sherrie-lyle-17b55714a	null	null	null	null	null	null	null	null	415	2.31	null	null	5.54	2.31	715	null	null	null	null	13	5	7	0.28	null	null	null	null	https://tjoescheyenne.com	null	null	2026-03-21T07:25:32.405566+00:00	0.64	0.81	0.3	12,947.87	220.2	147.016	1.49	89.2	100	86.3	0.7252	null	0.4286	0.7381	0.8016	0.6315	0.0002	0.0303	71.4	90.1	null	null	null	71.43	28.57	0	86.79	11.32	1.89	90.91	7.95	1.14	stable	declining	null	-18.7	-0.373	-20.8	0	7	53	176	82.4	52.2	80	100	75.9	88	28	216	38	90	1,639	122	67,933	561,375	89,375	73,784	28	128,741	2	52,397	746,541	3	740,732	689,671	40	663,679	318	237	657	1,525	4,062	724,238	1,424,284	724,238	0.0764	0.1701	0.3267	-0.1701	-0.014	0.7723	0	1	0	-0.6873	0.0047	0	0.1163	0	0.1964	39	1	2	128,741	322,974	52,397	0.821	0.551	0.9286	0.3457	0.6315	69.8	4.05	756	74.7	0.5234	9.1	0.4	293	11.5	0.2018	746,541	746,543	740,732	0.0023	0.0023	0.01	0.0002	0.0002	46	2.42	85	33.8	-0.1658	32.9	2.03	964	52.4	0.891	689,671	696,607	663,679	0.0686	Strong	0.0588	0.1044	0.0626	0.0303	Emerging	61.6	3.78	330	73.3	Emerging	0.3678	17.3	0.67	719	12.9	0.3574	2	3	40	151	151	concentrated	0.5812	0.32	0	0	100	0	4,620	4,619	concentrated	0.8612	0.03	50	50	0	0	8,811	5,742	competitive	0.0754	0.12	7.7	33.3	48.7	10.3	0.2055	0.3904	-0.2055	-0.0777	100	101	23	80	37	0.9112	0.6911	0.861	0.7529	0.8687	72.3	4.09	824	76.2	0.5033	6.6	0.36	225	10	0.2219	competitive	0.0126	1.06	0	3	81	16	0.8301	1.51	11.1	0.2738	0.5885	-0.2738	-0.2758	100	101	106	627	109	0.9382	0.6292	0.9353	0.6915	0.7942	78.7	4.36	999	84.2	0.6723	0.2	0.09	50	2	0.0529	competitive	0.0104	0.0004	1	1.36	0.8446	0.2094	0.3682	-0.2094	-0.0555	828,388	62.9	3.88	394	76.6	0.4737	16	0.57	655	0.2515	0.8961	0.5877	0.8959	0.6523	0.7612	83,937	0.8035	9.6	334,289	85,382	24.3	58.7	7.7	9.2	828,389	167	61.5	4.14	422	75.2	0.4388	17.4	0.31	627	0.2864	0.8976	0.6386	0.8976	0.7048	0.8614	18	53.53	32.79	0.7771	167	15.35	651	687	1.2656	12,655.53	1.73	5,769	2	0.1733	1,732.56	3,377.51	5,000	7,417.48	3,333.33	56.87	250	1.58	99.01	1.08	99.01	-7.1	-0.01	40	0	-35.2	null	null	null	null	null	0.13	-255,005	0.349	0.77	128,740	0.821	0	3,118	-0.002	0	746,540	0.002	0	1,193	0	0.08	689,670	0.069	0.49	-511,386	0.537	0.83	23	0.911	0.84	-827,558	0.938	0.84	106	0.938	0.7252	null	null	1,049	0.3	9	0.8	0.933	stable	0.3	2.1	9	9	31	194	0.873	0.878	0.878	0.8	0.933	101,285	105,220	105,139	2	3	stable	0.07	null	86.32
LF6DRPG4	The Prime Rib Restaurant & Wine Cellar	Food and Drink	Restaurants	Steak house	"Steak house, American restaurant, Bar, Family restaurant, Restaurant, Seafood restaurant, Wine cell(...TRUNCATED)	1205 S Douglas Hwy, Gillette, WY 82716	1205 S Douglas Hwy	Gillette	Wyoming	null	null	82,716	US	true	44.283333	-105.493611	America/Denver	(307) 68-***	2	null	true	Gillette	Wyoming	US	http	http://primeribgillette.com	primeribgillette.com	primeribgillette.com	com	6,353	2008-11-07	2026-11-07	GoDaddy.com, LLC	purchase_dataset@vcn.com	null	1	1	0	"Classic steakhouse menu plus a martini bar & vast wine collection in a refined yet relaxed setting.(...TRUNCATED)	4.37	1,143	{"1": 58, "2": 58, "3": 107, "4": 254, "5": 941}	Delivery, Onsite services, Takeout, Dine-in	"Fast service, Fireplace, Great beer selection, Great cocktails, Great dessert, Great wine list, Ser(...TRUNCATED)	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, He(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet, Romantic, Trendy, Upscale	Family-friendly, Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	2	null	null	https://www.facebook.com/primeribgillette	primeribgillette	null	null	null	null	https://www.linkedin.com/company/the-prime-rib-restaurant-and-wine-cellar	the-prime-rib-restaurant-and-wine-cellar	null	null	null	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://primeribgillette.com/menu	https://primeribgillette.com/reservations	https://primeribgillette.com/reservations	2026-03-21T05:30:51.330927+00:00	0	0.16	1.5	9,759.6	940.1	181.982	0.74	87.4	100	83.4	0.6599	1	0.5225	0.5616	0.6121	0.5374	0.024	0.0493	76.1	80.6	100	0	0	81.82	18.18	0	79.55	18.18	2.27	81.82	16.53	1.65	improving	declining	0.4775	-4.5	-0.0896	-5.6	1	11	44	121	73.1	35.1	16	100	78.9	88	4	159	4	31	1,903	36	30,997	665,772	38,545	33,259	4	388,590	33	343,934	737,540	80	717,836	737,611	9	734,165	391	116	329	1,525	4,062	724,238	1,424,284	724,238	0.0085	0	0.209	0	0.4159	0.5209	0.2396	0.2208	-0.2396	0.4041	0.0205	0.1313	0.2139	-0.1313	0.411	8	32	79	388,590	299,032	343,934	0.4654	0.584	0.5318	0.3839	0.5374	64.5	4.08	438	75.4	0.4953	6.3	0.29	702	8	0.1643	737,540	741,031	717,836	0.014	0.0095	0.0403	0.0347	0.024	55.6	3.26	231	70.2	0.3502	15.2	1.11	909	13.2	0.3094	737,611	732,694	734,165	0.0052	Average	0.0117	0.0097	0.0504	0.0493	Emerging	46.6	3.16	30	72.5	Emerging	0.4042	24.2	1.21	1,110	10.9	0.2554	33	80	9	674	144	competitive	0.0752	10.19	0	31.3	62.5	6.3	1,849	1,025	competitive	0.0589	1.01	21.5	39.2	32.9	6.3	6,901	5,719	moderate	0.8249	0.03	37.5	50	12.5	0	0.1804	0.2764	-0.1804	0.3485	100	101	29	58	4	0.7863	0.5649	0.9771	0.6794	0.7481	63.3	4.12	326	77	0.4809	7.5	0.25	814	6.4	0.1787	competitive	0.0338	1.66	1	43	49	7	0.7771	0.77	18.95	0.2838	0.594	-0.2838	0.0309	100	101	405	721	38	0.7621	0.5708	0.9784	0.6181	0.7219	78.8	4.36	1,001	84.2	0.6717	-8	0.01	139	-0.8	-0.0121	competitive	0.0113	0.0004	1	1.37	0.7696	0.2094	0.3682	-0.2094	0.2567	828,388	62.9	3.88	394	76.6	0.4737	7.9	0.49	746	0.1859	0.657	0.5177	0.9564	0.5675	0.6631	281,552	0.705	6.8	392,892	35,790	24.3	58.7	7.7	9.2	828,389	91	56.6	4.12	256	73.6	0.4179	14.2	0.25	884	0.2417	0.7556	0.4778	0.9667	0.6111	0.7	23	47.82	37.68	0.7333	91	29.94	334	555	0.976	9,759.6	1.73	5,769	2	0.1735	1,734.75	56.52	303.03	34.68	125	6,804.46	1,111.11	11.42	99.01	1.27	99.01	-8.2	0	23	0	-60.6	null	null	null	null	null	-0.07	110,387	-0.15	0.52	388,589	0.465	0	4,256	-0.003	0.02	737,539	0.014	0	3,249	-0.002	0.01	737,610	0.005	0.65	-737,784	0.686	0.78	29	0.786	0.77	-825,598	0.762	0.77	405	0.762	0.6596	null	null	1,140	0.1	3	0.5	0.567	decelerating	0.1	0.7	3	3	29	131	0.557	0.57	0.571	0.5	0.567	331,227	345,950	344,596	2	11	decelerating	-0.1	null	85.5
7Y9CUMJF	Ruby Tuesday	Food and Drink	Restaurants	American restaurant	American restaurant	420 E Boxelder Rd, Gillette, WY 82718	420 E Boxelder Rd	Gillette	Wyoming	null	null	82,718	US	true	44.276768	-105.49884	America/Denver	(307) 68-***	2	null	true	Gillette	Wyoming	US	https	https://rubytuesday.com	rubytuesday.com	rubytuesday.com	com	10,382	1997-10-26	2027-10-25	Network Solutions, LLC	null	null	0	0	0	Casual chain with American fare, featuring burgers, a salad bar, cocktails & a convivial vibe.	3.99	1,145	{"1": 122, "2": 73, "3": 134, "4": 317, "5": 659}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Great tea selection, 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, He(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://rubytuesday.com/menu	null	null	2026-03-21T01:10:13.370001+00:00	0	0.05	4.1	9,759.3	1,886.7	181.982	0.74	79.8	100	74.3	0.4958	1	0.1875	0.2582	0.2065	0.1795	0.0617	0.042	59.4	60.3	100	0	0	62.5	37.5	0	66.67	28.21	5.13	59.62	32.69	7.69	improving	stable	0.8125	-0.9	-0.019	-1.5	1	8	39	104	62.2	27.4	0	67	65.9	88	3	235	3	30	2,837	35	30,500	1,012,080	37,940	32,717	3	553,427	52	455,260	737,872	62	719,829	736,724	8	733,789	707	116	329	1,525	4,062	724,238	1,424,284	724,238	0.0095	0	0.2388	1	-0.0513	0.3036	0.2059	0.2381	0.7941	-0.0506	0.0193	0.1072	0.2009	0.8928	-0.0134	7	51	61	553,427	505,090	455,260	0.2446	0.3049	0.3809	0.28	0.1795	61.1	3.83	364	73.4	0.3806	-1.7	0.17	777	1	0.1152	737,872	741,747	719,829	0.0135	0.0085	0.0376	0.0316	0.0617	55.5	3.22	224	69.9	0.4057	3.9	0.78	917	4.5	0.0901	736,724	731,794	733,789	0.0064	Below Average	0.0129	0.0103	0.1575	0.042	Emerging	48.2	3.21	34	77.1	Emerging	0.3925	11.2	0.79	1,107	-2.7	0.1033	52	62	8	662	213	competitive	0.0579	16.23	7.8	33.3	52.9	5.9	2,213	1,053	competitive	0.0771	0.78	23	37.7	32.8	6.6	6,574	5,214	moderate	0.828	0.02	28.6	57.1	14.3	0	0.1704	0.2807	0.8296	-0.0932	100	101	67	84	3	0.4809	0.3588	0.9847	0.4962	0.5725	63.4	4.12	326	77.1	0.4826	-4	-0.12	815	-2.7	0.0132	competitive	0.0338	1.66	1	42	50	7	0.5954	0.77	18.98	0.2738	0.594	0.7262	-0.4065	100	101	1,047	1,142	37	0.3866	0.3201	0.979	0.4198	0.5213	78.8	4.36	1,001	84.2	0.6723	-19.4	-0.36	140	-9.8	-0.1765	competitive	0.0113	0.0004	1	1.37	0.5444	0.2094	0.3682	0.7906	-0.1807	828,388	62.9	3.88	394	76.6	0.4737	-3.5	0.12	747	0.0221	0.3219	0.2663	0.9568	0.3556	0.4574	559,862	0.4957	-2.2	596,827	35,420	24.3	58.7	7.7	9.2	828,389	91	56.6	4.12	256	73.6	0.4179	2.8	-0.12	885	0.0779	0.5111	0.2667	0.9778	0.4222	0.5111	44	47.82	33.41	0.6	91	29.94	334	555	0.9759	9,759.3	1.73	5,769	2	0.1735	1,735.04	33.48	192.31	59.37	161.29	6,856.03	1,250	11.44	99.01	1.27	99.01	-9.3	0.01	1	0	-69.1	null	null	null	null	null	-0.04	47,488	-0.063	0.3	553,426	0.245	0	4,588	-0.004	0.02	737,871	0.014	0	2,859	-0.001	0.01	736,723	0.006	0.47	-736,311	0.379	0.6	67	0.481	0.54	-824,956	0.387	0.54	1,047	0.387	0.4958	100	0	1,141	0.03	1	0	0.338	decelerating	0.03	0.23	1	1	18	110	0.281	0.292	0.294	0	0.338	528,654	556,970	554,104	2	31	decelerating	-0.2	null	81.23
BV6WXMTP	The Railyard - Gillette	Food and Drink	Restaurants	American restaurant	American restaurant	113 S Gillette Ave, Gillette, WY 82716	113 S Gillette Ave	Gillette	Wyoming	null	null	82,716	US	true	44.293659	-105.503624	America/Denver	(307) 68-***	2	null	true	Gillette	Wyoming	US	https	https://railyardrestaurants.com	railyardrestaurants.com	railyardrestaurants.com	com	1,484	2022-03-08	2028-03-08	GoDaddy.com, LLC	null	null	0	0	0	null	4.18	919	{"1": 62, "2": 60, "3": 67, "4": 185, "5": 542}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Fireplace, Great beer selection, Great cocktails, Great dessert, Great wine list, Ser(...TRUNCATED)	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, He(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Historic, Quiet, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Dinner reservations recommended, Accepts reservations	Checks, Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	3	https://www.instagram.com/railyardrestaurant	railyardrestaurant	https://www.facebook.com/railyardgillette	railyardgillette	null	null	https://www.tiktok.com/@the.railyard.lara	the.railyard.lara	null	null	null	null	null	null	null	null	null	null	33	3.54	null	null	null	null	243	null	null	null	null	377	30	4,550	4.67	2.34	5.62	4.67	4.67	https://railyardrestaurants.com/store/19447	https://google.com/maps/reserve/v/dine/c/elebr4gzcpi?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/elebr4gzcpi?source=pa&opi=79508299	2026-03-21T01:10:13.321371+00:00	1.13	0.26	0.5	10,287.14	627	181.982	0.75	83.6	98.8	79.4	0.5706	1	0.507	0.3129	0.3993	0.4332	0.0336	0.0493	75.4	70	100	0	0	75	25	0	66.67	31.11	2.22	70.68	27.07	2.26	improving	improving	0.493	5.4	0.1077	7.7	2	20	45	133	74.7	38.5	76	67	77.8	88	12	203	15	161	2,408	268	113,241	860,466	157,324	122,658	12	627,313	28	604,631	728,382	85	685,918	737,611	9	734,165	557	116	329	1,525	4,062	724,238	1,424,284	724,238	0.0085	0	0.209	1	0.222	0.1437	0.1312	0.225	0.8688	0.206	0.0411	0.1607	0.2153	0.8393	0.2157	8	27	84	627,313	657,144	604,631	0.1463	0.1052	0.1788	0.4409	0.4332	58.7	3.53	253	76.4	0.4654	12.6	0.65	658	3	0.1037	728,382	732,826	685,918	0.0259	0.0199	0.0826	0.0357	0.0336	58	3.49	305	70.3	0.3695	13.3	0.69	606	9.1	0.1996	737,611	732,694	734,165	0.0052	Emerging	0.0117	0.0097	0.0504	0.0493	Emerging	46.6	3.16	30	72.5	Emerging	0.4042	24.7	1.02	881	6.9	0.1649	28	85	9	592	7	competitive	0.1176	8.59	18.5	37	33.3	11.1	2,336	1,039	competitive	0.0343	1.07	14.3	36.9	44	4.8	8,013	6,011	moderate	0.7901	0.03	37.5	50	12.5	0	0.1704	0.2783	0.8296	0.1527	100	101	27	70	13	0.7939	0.4733	0.9084	0.6107	0.6565	63.3	4.12	328	77	0.4818	8	0.06	583	2.4	0.0873	competitive	0.027	1.66	1	43	49	7	0.7321	0.77	18.95	0.2838	0.594	0.7162	-0.163	100	101	390	954	181	0.7714	0.4379	0.8945	0.5254	0.6117	78.8	4.36	1,001	84.2	0.6717	-7.5	-0.18	-90	-4.8	-0.1026	competitive	0.009	0.0004	1	1.37	0.7083	0.2094	0.3682	0.7906	0.0628	828,388	62.9	3.88	394	76.6	0.4737	8.4	0.3	517	0.0954	0.6728	0.3727	0.8406	0.458	0.5418	268,427	0.6331	2.8	514,204	131,781	24.3	58.7	7.7	9.2	828,389	91	56.6	4.12	256	73.6	0.4179	14.7	0.06	655	0.1512	0.7667	0.4	0.8889	0.5333	0.6111	22	47.82	35.53	0.6667	91	29.94	334	555	0.9828	9,828.16	1.73	5,769	2	0.1735	1,734.75	138.21	357.14	11.78	117.65	6,242.78	1,111.11	7.29	99.01	0.81	99.01	-7.7	0	4	0	-45.7	null	null	null	null	null	0.01	-3,487	0.006	0.14	627,312	0.146	-0.01	10,566	-0.012	0.04	728,380	0.026	0	3,249	-0.002	0.01	737,609	0.005	0.61	-737,786	0.694	0.73	27	0.794	0.71	-825,613	0.771	0.71	390	0.771	0.5691	100	0	911	0.17	5	1	0.868	decelerating	0.17	1.17	5	5	29	138	0.719	0.729	0.729	1	0.868	213,014	221,732	221,154	1	8	decelerating	-0.26	null	83.35
N83RG9TZ	L'Osteria Mondello	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Pizza restaurant	1507 Stillwater Ave STE D, Cheyenne, WY 82009	1507 Stillwater Ave STE D	Cheyenne	Wyoming	null	null	82,009	US	true	41.158708	-104.804928	America/Denver	(307) 77-***	2	null	true	Cheyenne	Wyoming	US	https	https://facebook.com/profile.php?id=100089266542531	facebook.com/profile.php?id=100089266542531	facebook.com	com	10,594	1997-03-29	2034-03-30	RegistrarSafe, LLC	null	null	0	0	0	"Quaint destination for Sicilian & thin-crust pizzas & traditional Italian entrees, plus a full bar.(...TRUNCATED)	4.67	940	{"1": 28, "2": 15, "3": 28, "4": 93, "5": 771}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great dessert, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Healthy options, Private dining room, Quick bite, Small plates(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating	Restroom	Casual, Cozy, Quiet	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	1	null	null	https://www.facebook.com/profile.php?id=100089266542531	100089266542531	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-03-20T20:21:53.596326+00:00	0	0.63	1.4	12,534.39	1,100.8	147.016	1.49	93.4	99.1	92.3	0.8359	null	0.8813	0.9116	0.8964	0.2661	0.1875	0.0114	94.1	94.8	null	null	null	94.74	5.26	0	95.24	1.59	3.17	94.77	3.49	1.74	stable	stable	null	-0.7	-0.0151	-0.7	0	19	63	172	76	40.5	8	83	93.7	86	51	134	81	153	1,037	254	109,053	324,496	151,347	118,223	51	281,235	37	90,856	485,101	101	419,724	724,956	40	678,963	173	237	657	1,525	4,062	724,238	1,424,284	724,238	0.0399	0.0513	0.2198	-0.0513	0.6674	0.6417	0.1389	0.307	-0.1389	0.5802	0.3479	0.1905	0.3567	-0.1905	0.5305	39	36	100	281,235	398,893	90,856	0.6113	0.4478	0.876	0.2115	0.2661	66.4	3.96	665	71.9	0.4141	10.3	0.71	275	20.4	0.4218	485,101	546,062	419,724	0.3475	0.2584	0.4379	0.2166	0.1875	70.1	4.1	638	76.6	0.4796	6.6	0.57	302	15.7	0.3563	724,956	726,591	678,963	0.022	Average	0.0197	0.0839	0.0123	0.0114	Below Average	55.7	3.41	295	65.9	Emerging	0.2726	21	1.26	645	26.4	0.5633	37	101	40	486	33	competitive	0.0378	11.46	2.8	22.2	61.1	13.9	2,910	1,066	competitive	0.0145	1.27	0	10	79	11	6,388	5,007	competitive	0.0756	0.12	17.9	35.9	46.2	0	0.1955	0.3779	-0.1955	0.5093	100	101	34	51	55	0.8726	0.8031	0.7915	0.8687	0.9459	72.3	4.09	816	76.2	0.5027	4.4	0.58	124	16.1	0.3332	competitive	0.0114	1.06	0	3	81	16	0.8274	1.51	11.1	0.2738	0.594	-0.2738	0.2932	100	101	176	407	170	0.895	0.7586	0.9015	0.8268	0.909	78.8	4.36	1,001	84.2	0.6723	-2.1	0.31	-61	8.1	0.1636	competitive	0.0093	0.0004	1	1.37	0.856	0.2094	0.3682	-0.2094	0.519	828,388	62.9	3.88	394	76.6	0.4737	13.8	0.79	546	0.3622	0.8362	0.7609	0.8483	0.8337	0.904	133,301	0.8173	15.7	191,387	125,475	24.3	58.7	7.7	9.2	828,389	167	61.5	4.14	422	75.2	0.4388	15.2	0.53	518	0.3971	0.8554	0.7651	0.8072	0.8494	0.9518	25	53.53	39.27	0.9337	167	15.35	651	687	1.2534	12,534.39	1.73	5,769	2	0.1735	1,735.04	14.28	270.27	2.11	99.01	57.16	250	1.3	99.01	0.87	99.01	4.4	0	10	0	-44.4	null	null	null	null	null	-0.06	90,075	-0.123	0.64	281,233	0.611	-0.03	48,503	-0.064	0.35	485,099	0.348	-0.01	8,151	-0.009	0.04	724,954	0.022	0.49	-508,200	0.495	0.83	34	0.873	0.85	-825,827	0.895	0.86	176	0.895	0.8359	null	null	934	0.23	7	1	1	decelerating	0.23	1.63	7	7	42	191	0.816	0.822	0.822	1	1	142,983	148,636	148,433	1	1	decelerating	-0.14	null	92.8
Q4KRVF2L	Chop Stix Asian Bistro	Food and Drink	Restaurants	Asian restaurant	Asian restaurant, Bistro, Restaurant	1313 Dewar Dr, Rock Springs, WY 82901	1313 Dewar Dr	Rock Springs	Wyoming	null	null	82,901	US	true	41.576723	-109.235715	America/Denver	(307) 38-***	2	null	true	Rock Springs	Wyoming	US	http	http://chopstixasianbistro.com/rocksprings/appetizers.html	chopstixasianbistro.com/rocksprings/appetizers.html	chopstixasianbistro.com	com	4,885	2012-11-14	2027-11-14	GoDaddy.com, LLC	null	null	0	0	0	Unassuming Asian eatery serving Chinese, Japanese & Thai dishes, along with cocktails.	3.92	370	{"1": 45, "2": 25, "3": 32, "4": 73, "5": 190}	Delivery, Takeout, Dine-in	Fast service, Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Quick bite, Small pla(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	College students, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	3	null	null	https://www.facebook.com/chopstixriverton	chopstixriverton	https://twitter.com/asuwb	asuwb	null	null	https://www.linkedin.com/in/phuong-pham-995070236	phuong-pham-995070236	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-03-20T12:13:35.779382+00:00	0	0.04	2.3	13,568.39	745.3	193.4783	0.61	78.4	85.6	71.9	0.4871	1	1	0.3182	0.4752	0.6672	0.0527	0.1723	100	73.8	100	0	0	100	0	0	60	40	0	71.43	28.57	0	stable	improving	0	26.2	0.5248	35.5	1	2	10	21	68.3	27.4	24	83	94.7	86	40	172	57	514	2,930	879	285,868	1,051,654	434,475	306,975	40	427,172	13	342,394	718,372	74	650,989	698,049	5	715,750	746	88	250	1,525	4,062	724,238	1,424,284	724,238	0.0938	0	0.25	1	0.75	0.4738	0.3125	0.4153	0.6875	0.5847	0.0707	0.1582	0.2804	0.8418	0.7196	4	12	73	427,172	364,145	342,394	0.4134	0.4943	0.5337	0.3785	0.6672	63.8	4	439	75.3	0.5347	5.2	-0.08	-69	-3.4	-0.049	718,372	705,688	650,989	0.0389	0.0547	0.1291	0.0426	0.0527	59.5	3.73	360	70.9	0.3967	9.5	0.19	10	1	0.089	698,049	585,331	715,750	0.0575	Average	0.2013	0.0345	0.184	0.1723	Emerging	60.7	4.14	165	77.8	Emerging	0.5094	8.3	-0.22	205	-5.9	-0.0237	13	74	5	648	103	moderate	0.0656	3.82	16.7	8.3	66.7	8.3	2,264	1,058	competitive	0.0139	0.93	12.3	30.1	54.8	2.7	6,969	6,654	concentrated	0.3592	0.01	0	75	0	25	0.1739	0.3006	0.8261	0.6994	88	89	37	61	46	0.6364	0.3939	0.5455	0.4646	0.5657	60.1	3.78	363	71.8	0.418	8.9	0.14	7	0.1	0.0677	competitive	0.0115	1.72	12.5	28.4	54.5	4.5	0.5364	0.62	22.48	0.2738	0.594	0.7262	0.406	100	101	520	1,210	579	0.6921	0.291	0.6624	0.3802	0.5102	78.8	4.36	1,001	84.2	0.6723	-9.8	-0.44	-631	-12.3	-0.1866	competitive	0.0037	0.0004	1	1.37	0.5629	0.2094	0.3682	0.7906	0.6318	828,388	62.9	3.88	394	76.6	0.4737	6.1	0.04	-24	0.012	0.5987	0.2325	0.6056	0.3167	0.4466	329,770	0.4909	-4.7	632,470	326,199	24.3	58.7	7.7	9.2	828,389	64	60.7	4.09	361	73.7	0.4712	8.3	-0.17	9	0.0145	0.5714	0.2857	0.5556	0.381	0.4762	28	57.39	25.03	0.6349	64	37.41	267	460	1.3568	13,568.39	1.73	5,769	2	0.1735	1,735.04	43.07	769.23	1.93	135.14	1,290.41	2,000	1.31	112.36	0.14	99.01	1	0	6	-0.1	-33.3	null	null	null	null	null	-0.01	-14,971	0.02	0.47	427,171	0.413	-0.02	18,004	-0.021	0.07	718,371	0.039	-0.01	16,084	-0.019	0.09	698,048	0.058	0.46	-775,447	0.582	0.54	37	0.636	0.56	-825,483	0.692	0.56	520	0.692	0.4857	100	0	367	0.03	1	0	0.571	decelerating	0.03	0.23	1	1	4	21	0.281	0.292	0.294	0	0.571	528,654	556,970	554,104	1	3	decelerating	0	null	82.42

End of preview. Expand in Data Studio

All Restaurants in Wyoming, US

Free sample dataset from BeamStation

This dataset provides a complete export of every restaurant operating in Wyoming, United States. It contains 1,277 records, each representing a single establishment with its full profile and all available data columns. The information is refreshed on a weekly basis, ensuring users have access to the most current listings. Researchers, market analysts, app developers, and hospitality professionals can use this collection to study regional dining trends, perform competitive analysis, build location‑based services, or support supply‑chain planning. Because the file includes every column present in the source, users can examine attributes such as business names, addresses, contact details, cuisine categories, and any other fields provided by the original provider without needing to join additional sources. Access the dataset directly via the URL: https://beamstation.com/datasets/128918/. The weekly update cadence makes it suitable for both historical comparisons and timely decision‑making.

Dataset Details

Field	Value
Full dataset	1,277 records
Sample size	50 records
Location	Wyoming
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (484 total)

Column List

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/all-restaurants-in-wyoming-us-128918")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 1,277 records and unmasked contact data is available at:

All Restaurants in Wyoming, US on BeamStation

License

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

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