Datasets:

beamstation
/

all-restaurants-in-worcester-metro-massachusetts-us-113973

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	census_place string	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github float64	social_username_github float64	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_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_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
MCQD8HL2	Peppercorn's Grille and Tavern	Food and Drink	Restaurants	Restaurant	Restaurant, Bar & grill	455 Park Ave, Worcester, MA 01610	455 Park Ave	Worcester	Massachusetts	Main South	null	1,610	US	true	42.254589	-71.825493	America/New_York	(508) 75-***	2	null	true	Worcester	Massachusetts	US	https	https://epeppercorns.com	epeppercorns.com	epeppercorns.com	com	9,166	2001-02-24	2030-02-24	GoDaddy.com, LLC	null	null	0	0	0	"Family-friendly Italian eatery & bar featuring thin-crust pizzas & Wormtown beers brewed next door.(...TRUNCATED)	4.47	1,035	{"1": 45, "2": 39, "3": 103, "4": 385, "5": 1156}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Serves local s(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour food, Hard liquor, Healthy options, Late(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, Tourists	Brunch reservations recommended, Dinner reservations recommended, 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/peppercornsworcester	peppercornsworcester	https://www.facebook.com/p/peppercorns-grille-tavern-100063107012916	peppercorns-grille-tavern-100063107012916	https://twitter.com/peppercornsma	peppercornsma	https://www.tiktok.com/@peppercorns508	peppercorns508	null	null	null	null	null	null	null	null	null	null	4,463	0.1	null	null	0.07	0.1	1,278	null	null	null	null	272	63	1,758	4.49	null	null	6.57	6.57	https://epeppercorns.com/menus	https://resy.com/cities/worcester-ma/venues/peppercorns-grille-and-tavern	https://resy.com/cities/worcester-ma/venues/peppercorns-grille-and-tavern	2026-03-31T07:11:50.438779+00:00	2.16	1.83	0.1	4,501.89	95	48.6982	0.99	89.4	100	88.2	0.6503	null	0.4963	0.4911	0.5593	0.5448	0.8438	0.3385	74.8	78	null	null	null	70	25	5	81.48	16.67	1.85	85.71	10.08	4.2	stable	declining	null	-3.2	-0.063	-4.1	0	20	54	119	76.4	40.5	84	67	73.9	60	56	642	74	1,077	12,689	1,432	83,345	550,132	111,649	90,559	56	488,774	63	527,160	165,861	101	398,406	462,731	101	506,253	212	789	1,671	16,336	34,483	724,238	1,424,284	724,238	0.327	0.3888	0.5396	0.6112	-0.0193	0.3656	0.1929	0.3935	0.8071	0.1268	0.6847	0.4104	0.5907	0.5896	-0.0704	100	62	100	488,774	364,145	527,160	0.3308	0.4943	0.2834	0.5215	0.5448	62.6	4	314	77.8	0.4974	14.6	0.47	721	10.4	0.1529	165,861	149,065	398,406	0.7719	0.7867	0.4665	0.7955	0.8438	77.5	4.41	662	85.3	0.6723	-0.3	0.06	373	2.9	-0.022	462,731	525,631	506,253	0.3716	Below Average	0.278	0.3165	0.2768	0.3385	Strong	74.8	4.21	671	79.8	Below Average	0.5798	2.4	0.26	364	8.4	0.0705	63	101	101	655	115	competitive	0.0506	19.74	6.5	29	59.7	4.8	2,866	1,022	competitive	0.0154	1.27	0	1	62	37	7,355	5,045	competitive	0.0152	0.32	1	82	17	0.4863	0.6734	0.5137	-0.1531	100	101	153	327	66	0.8255	0.6131	0.9254	0.7003	0.5844	79.1	4.42	890	86.2	0.694	-1.9	0.05	145	2	-0.0437	competitive	0.0115	1	0	60	40	0.7917	1	3.83	0.3919	0.7334	0.6081	-0.2131	100	101	3,042	6,596	1,130	0.8256	0.6176	0.9357	0.7085	0.6184	81.9	4.65	1,594	91.9	0.7822	-4.7	-0.18	-559	-3.7	-0.1319	competitive	0.0065	0.0036	1	0.12	0.7962	0.2094	0.3682	0.7906	0.1521	828,388	62.9	3.88	394	76.6	0.4737	14.3	0.59	641	0.1766	0.8503	0.605	0.8835	0.7167	0.6497	121,710	0.7867	11.6	320,135	95,831	24.3	58.7	7.7	9.2	828,389	665	64.5	4.29	347	80	0.5377	12.7	0.18	688	0.1126	0.8148	0.5768	0.9383	0.6777	0.5482	124	66.51	5.28	0.3328	665	4.84	2,065	2,074	0.4308	4,308.44	0.14	70,299	256	0.0227	226.76	25.56	158.73	2.37	99.01	2.31	99.01	1.32	99.01	0.42	99.01	-5.7	0	6	0	-49.3	null	null	null	null	null	-0.03	21,952	-0.029	0.37	488,772	0.331	0.05	-80,050	0.107	0.68	165,852	0.772	0.01	-8,924	0.013	0.33	462,718	0.372	0.21	-320,566	0.221	0.79	153	0.826	0.5	-584,027	0.62	0.8	3,042	0.826	0.6503	100	0	1,035	0.23	7	0.739	0.8	decelerating	0.23	1.63	7	7	45	135	0.816	0.822	0.822	0.739	0.8	142,983	148,636	148,433	30	413	decelerating	-0.27	null	71.79
VAL6HA2T	Baba Sushi	Food and Drink	Restaurants	Restaurant	Restaurant, Asian restaurant, Chinese restaurant, Japanese restaurant, Stand bar, Sushi restaurant	309 Park Ave, Worcester, MA 01609	309 Park Ave	Worcester	Massachusetts	Main Middle	null	1,609	US	true	42.261986	-71.820168	America/New_York	(508) 75-***	2	null	true	Worcester	Massachusetts	US	http	http://babasushi.com	babasushi.com	babasushi.com	com	7,049	2006-12-12	2029-12-12	Register.com - Network Solutions, LLC	purchase_dataset@babasushi.com	realdomain	1	1	0	Sophisticated sushi & sashimi creations served in a hip atmosphere with mod decor.	4.55	1,137	{"1": 53, "2": 24, "3": 60, "4": 223, "5": 1101}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great tea selection, Great wine list, Serves l(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Hard liquor, Healthy options, Late-night food, Quick bite, Small (...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy, Upscale	College students, Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	3	https://www.instagram.com/baba_sushi	baba_sushi	https://www.facebook.com/ishishabu	ishishabu	null	null	null	null	https://www.linkedin.com/in/rachel-duclos-70b167151	rachel-duclos-70b167151	null	null	null	null	null	null	null	null	2,111	0.87	null	0.46	0.44	0.87	594	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/baba-sushi--hot-pot/menu	https://opentable.com/restaurant/profile/217804	https://opentable.com/restaurant/profile/217804	2026-03-31T07:11:14.304023+00:00	1.02	0.52	0.1	4,340.94	126.6	48.6982	0.99	91	100	89.6	0.5608	null	0.9184	0.7529	0.6026	0.729	0.815	0.3927	95.9	80.1	null	null	null	100	0	0	91.67	0	8.33	75.38	3.08	21.54	stable	improving	null	15.8	0.3158	19.7	0	10	24	65	75.7	32.8	52	83	84.5	60	20	519	21	452	10,246	555	32,738	453,965	40,692	35,151	20	399,846	58	483,065	186,485	101	389,836	440,362	101	505,245	164	789	1,671	16,336	34,483	724,238	1,424,284	724,238	0.3516	0.4038	0.5576	-0.4038	0.3682	0.435	0.2076	0.495	-0.2076	0.4308	0.668	0.4142	0.5501	-0.4142	0.3757	100	57	100	399,846	355,826	483,065	0.4505	0.5063	0.3431	0.6512	0.729	64.3	4.01	345	80.1	0.556	12.2	0.54	792	9.5	0.0048	186,485	170,363	389,836	0.744	0.7568	0.4779	0.7685	0.815	77.1	4.39	672	84.8	0.6626	-0.6	0.16	465	4.8	-0.1018	440,362	493,691	505,245	0.4007	Average	0.3198	0.318	0.3318	0.3927	Strong	75.4	4.24	673	80.8	Below Average	0.598	1.1	0.31	464	8.8	-0.0372	58	101	101	539	26	competitive	0.0547	18.14	7	19.3	64.9	8.8	2,542	1,060	competitive	0.0166	1.27	0	2	63	35	7,325	5,123	competitive	0.0166	0.32	0	81	19	0.4963	0.6693	-0.4963	0.2565	100	101	165	262	23	0.8071	0.6958	0.9747	0.752	0.4409	79.1	4.42	889	86.1	0.6949	-2.6	0.13	248	3.5	-0.1341	competitive	0.0126	1	0	60	40	0.824	1	3.83	0.3719	0.7305	-0.3719	0.1953	100	101	3,378	5,147	493	0.8053	0.6991	0.9719	0.7668	0.4718	81.8	4.65	1,601	91.8	0.7851	-5.3	-0.1	-464	-2.2	-0.2243	competitive	0.0071	0.0036	1	0.12	0.8234	0.2094	0.3682	-0.2094	0.5576	828,388	62.9	3.88	394	76.6	0.4737	13.6	0.67	743	0.0871	0.8305	0.6749	0.9552	0.76	0.532	138,076	0.8212	13	262,933	36,785	24.3	58.7	7.7	9.2	828,389	665	64.5	4.29	347	80	0.5377	12	0.26	790	0.0231	0.7967	0.6672	0.9819	0.7319	0.4187	132	66.51	-8.57	0.256	665	4.84	2,065	2,074	0.4303	4,303.5	0.14	70,299	256	0.0228	227.75	29.93	172.41	2.77	99.01	2.76	99.01	1.6	99.01	0.5	99.01	-11.7	0	1	0	-63.6	null	null	null	null	null	-0.01	-11,220	0.016	0.44	399,845	0.451	0.04	-59,426	0.079	0.67	186,483	0.744	0.01	-18,975	0.025	0.35	440,360	0.401	0.25	-325,042	0.208	0.82	165	0.807	0.53	-583,691	0.6	0.82	3,378	0.805	0.5608	null	null	1,137	0.07	2	0.4	0.432	decelerating	0.07	0.47	2	2	15	71	0.439	0.452	0.454	0.4	0.432	417,455	437,538	435,431	60	1,117	decelerating	-0.23	null	57.94
3Y2GP8RY	Hacienda Don Juan Restaurant	Food and Drink	Restaurants	Latin American restaurant	Latin American restaurant, Mexican restaurant	Main St, Worcester, MA 01610	Main St	Worcester	Massachusetts	University Park	null	1,610	US	true	42.252927	-71.816806	America/New_York	(508) 30-***	1	null	true	Worcester	Massachusetts	US	https	https://haciendadonjuanworcester.com	haciendadonjuanworcester.com	haciendadonjuanworcester.com	com	652	2024-06-17	2026-06-17	HOSTINGER operations, UAB	null	null	0	0	0	Homey spot for classic south-of-the-border dining from tacos to pupusas with fresh juice drinks.	4.1	713	{"1": 81, "2": 28, "3": 64, "4": 160, "5": 458}	Outdoor seating, Delivery, Takeout, Dine-in	Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Coffee, Comfort food, Healthy options, Late-night food, Quick bite, Small plates, Vegetarian option(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Restroom, Wi-Fi	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	https://www.instagram.com/haciendadonjuan59	haciendadonjuan59	https://www.facebook.com/126405267431067	126405267431067	null	null	null	null	null	null	null	null	null	null	null	null	null	null	6	27.78	null	null	null	27.78	3	null	null	null	null	null	null	null	null	null	null	null	null	https://localeats365.com/menu-hacienda	null	null	2026-03-31T06:38:44.477530+00:00	0	0.78	2.4	5,523.88	190.4	48.6982	0.99	82	95.1	77.7	0.5681	null	0.25	0.3856	0.5213	0.529	0.8634	0.3579	62.5	76.1	null	null	null	62.5	37.5	0	73.08	26.92	0	79.03	20.97	0	stable	declining	null	-13.6	-0.2713	-17.9	0	8	26	62	69.8	35.1	68	67	69.9	60	147	1,091	200	2,677	22,473	3,748	162,810	926,082	230,695	175,046	147	549,617	64	590,580	145,429	101	372,895	455,824	101	514,262	415	789	1,671	16,336	34,483	724,238	1,424,284	724,238	0.3313	0.4013	0.5608	0.5987	-0.2275	0.2901	0.1878	0.3939	0.8122	-0.0606	0.7099	0.4054	0.5969	0.5946	-0.2636	100	63	100	549,617	407,293	590,580	0.2497	0.4362	0.1977	0.5097	0.529	61.2	3.95	265	77.6	0.4929	9.8	0.15	448	0.1	0.0752	145,429	137,691	372,895	0.7989	0.8008	0.5005	0.8162	0.8634	77.9	4.42	692	85.7	0.6793	-6.9	-0.32	21	-8	-0.1112	455,824	514,902	514,262	0.3805	Below Average	0.2912	0.3059	0.3036	0.3579	Strong	75	4.22	655	80.3	Below Average	0.5867	-4	-0.12	58	-2.6	-0.0186	64	101	101	660	5	competitive	0.041	20.05	7.9	31.7	54	6.3	2,646	1,031	competitive	0.0102	1.27	0	0	63	37	7,334	5,140	competitive	0.0108	0.32	1	79	20	0.4863	0.6686	0.5137	-0.3353	100	101	318	624	165	0.6349	0.2824	0.8094	0.3594	0.4604	79	4.42	893	86.1	0.6928	-8	-0.32	-180	-8.4	-0.1247	competitive	0.0079	1	0	61	39	0.5815	1	3.83	0.3719	0.7283	0.6281	-0.395	100	101	6,773	12,670	2,863	0.6139	0.2778	0.8378	0.3507	0.4829	81.8	4.65	1,597	91.9	0.7838	-10.8	-0.55	-884	-14.2	-0.2157	competitive	0.0044	0.0036	1	0.12	0.5802	0.2094	0.3682	0.7906	-0.0349	828,388	62.9	3.88	394	76.6	0.4737	8.1	0.22	319	0.0944	0.6633	0.3247	0.7753	0.4205	0.5406	276,274	0.5953	1.1	554,757	185,777	24.3	58.7	7.7	9.2	828,389	665	64.5	4.29	347	80	0.5377	6.5	-0.19	366	0.0304	0.6205	0.2349	0.8328	0.3223	0.4367	253	66.51	20.66	0.6114	665	4.84	2,065	2,074	0.4323	4,322.96	0.14	70,299	256	0.0227	227.19	16.8	156.25	1.04	99.01	1.16	99.01	0.63	99.01	0.2	99.01	-2.6	-0.01	2	-0.2	-42.7	null	null	null	null	null	-0.02	10,089	-0.013	0.29	549,615	0.25	0.04	-77,814	0.103	0.71	145,427	0.799	0.01	-18,178	0.025	0.33	455,822	0.381	0	-320,401	0.031	0.58	318	0.635	0.28	-580,296	0.408	0.58	6,773	0.614	0.5681	100	0	713	0.1	3	0	0.514	decelerating	0.1	0.7	3	3	18	69	0.557	0.57	0.571	0	0.514	331,227	345,950	344,596	4	15	decelerating	-0.1	null	87.17
Y2VB29BR	Mezcal Tequila Kitchen	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	11 E Central St, Worcester, MA 01605	11 E Central St	Worcester	Massachusetts	Central Business District	null	1,605	US	true	42.266908	-71.79441	America/New_York	(508) 92-***	2	null	true	Worcester	Massachusetts	US	http	http://mezcaltequilakitchen.com	mezcaltequilakitchen.com	mezcaltequilakitchen.com	com	781	2024-02-09	2027-02-09	GoDaddy.com, LLC	null	null	0	0	0	Upmarket Mexican restaurant offering made-to-order guacamole, brunch & an extensive tequila list.	4.07	1,072	{"1": 103, "2": 100, "3": 195, "4": 569, "5": 1181}	Outdoor seating, Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour food, Hard liquor, Healthy options, Late(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Trendy	College students, 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	3	https://www.instagram.com/mezcaltequilakitchen	mezcaltequilakitchen	https://www.facebook.com/mezcaltequilakitchen	mezcaltequilakitchen	null	null	null	null	https://www.linkedin.com/company/niche-hospitality-group	niche-hospitality-group	null	null	null	null	null	null	null	null	3,764	0.78	null	0.55	0.81	0.78	1,873	null	null	null	null	null	null	null	null	null	null	null	null	https://mezcaltequilakitchen.com/menu	https://resy.com/cities/worcester-ma/venues/mezcal-tequila-kitchen	https://resy.com/cities/worcester-ma/venues/mezcal-tequila-kitchen	2026-03-31T06:37:54.372381+00:00	1.82	2.87	0.2	4,358.44	126.8	48.6982	0.99	81.4	100	76.3	0.5668	null	0.9591	0.6367	0.5772	0.6793	0.7417	0.492	98	78.9	null	null	null	100	0	0	80.85	17.02	2.13	76.58	18.02	5.41	stable	improving	null	19.1	0.3819	24.2	0	8	47	111	74.5	53.5	52	67	92.4	60	41	1,114	51	788	22,975	991	59,074	947,025	76,750	64,105	41	292,201	83	435,846	197,164	101	379,636	512,173	101	554,264	422	789	1,671	16,336	34,483	724,238	1,424,284	724,238	0.3174	0.3452	0.5369	-0.3452	0.4304	0.558	0.3176	0.3708	-0.3176	0.5965	0.6519	0.3957	0.5918	-0.3957	0.3755	100	82	100	292,201	244,778	435,846	0.5962	0.6579	0.4072	0.7579	0.6793	66.2	4.15	377	82.2	0.5386	9	-0.08	695	-5.9	0.0282	197,164	205,383	379,636	0.7294	0.7089	0.4916	0.7288	0.7417	76.9	4.36	684	84.1	0.6397	-1.7	-0.29	388	-7.8	-0.0729	512,173	434,185	554,264	0.3061	Average	0.3978	0.252	0.4096	0.492	Strong	73.1	4.29	566	82.1	Below Average	0.6266	2.1	-0.22	506	-5.8	-0.0598	83	101	101	680	20	competitive	0.0335	26.1	4.9	29.3	51.2	14.6	2,633	1,009	competitive	0.0154	1.27	0	1	67	32	7,567	5,014	competitive	0.0186	0.32	2	84	14	0.4863	0.6706	-0.4863	0.2967	100	101	200	645	48	0.7658	0.2537	0.9449	0.3238	0.4501	79	4.43	893	86.2	0.6944	-3.8	-0.36	179	-9.9	-0.1276	competitive	0.0119	1	0	61	39	0.6659	1	3.83	0.3919	0.7334	-0.3919	0.2339	100	101	4,275	12,957	810	0.7546	0.2617	0.9537	0.3218	0.4836	81.9	4.65	1,594	91.9	0.7822	-6.7	-0.58	-522	-15.6	-0.2154	competitive	0.0067	0.0036	1	0.12	0.6664	0.2094	0.3682	-0.2094	0.5991	828,388	62.9	3.88	394	76.6	0.4737	12.3	0.19	678	0.0931	0.7924	0.3083	0.9182	0.3931	0.539	169,486	0.6849	-0.3	568,582	67,138	24.3	58.7	7.7	9.2	828,389	665	64.5	4.29	347	80	0.5377	10.7	-0.22	725	0.0291	0.75	0.2108	0.9563	0.2861	0.4292	165	66.51	12.79	0.4111	665	4.84	2,065	2,074	0.4325	4,324.71	0.14	70,299	256	0.0227	226.76	11.24	120.48	2.38	99.01	3.46	99.01	1.41	99.01	0.45	99.01	-4.8	0	2	0	-39.8	null	null	null	null	null	0	-14,778	0.02	0.56	292,200	0.596	0.03	-52,611	0.069	0.65	197,161	0.729	0	-9,284	0.013	0.32	512,170	0.306	0.09	-320,519	0.162	0.67	200	0.766	0.37	-582,794	0.549	0.67	4,275	0.755	0.5668	null	null	1,072	0.37	11	0.783	0.889	stable	0.37	2.57	11	11	36	137	0.908	0.911	0.911	0.783	0.889	75,655	78,604	78,576	5	69	stable	0.07	null	79.3
X6KAEBNZ	Nuovo Restaurant	Food and Drink	Restaurants	Italian restaurant	Italian restaurant	92 Shrewsbury St, Worcester, MA 01604	92 Shrewsbury St	Worcester	Massachusetts	Shrewsbury Street	null	1,604	US	true	42.26364	-71.790426	America/New_York	(508) 79-***	2	null	true	Worcester	Massachusetts	US	https	https://nuovoworcester.com	nuovoworcester.com	nuovoworcester.com	com	5,431	2011-05-18	2026-05-18	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	Upscale, family-friendly spot for Italian-style surf 'n' turf, plus a full bar.	4.55	636	{"1": 17, "2": 12, "3": 30, "4": 125, "5": 458}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great cocktails, Great coffee, Great dessert, Great wine list, Serves local specialty(...TRUNCATED)	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, Private dining room, (...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Cozy, Romantic, Trendy, Upscale	Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Brunch reservations recommended, Dinner reservations recommended, 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/nuovoworcester	nuovoworcester	https://www.facebook.com/nuovoworcester	nuovoworcester	https://twitter.com/nuovoworcester	nuovoworcester	null	null	https://www.linkedin.com/company/nuovo-restaurant	nuovo-restaurant	null	null	null	null	null	null	null	null	2,749	0.72	null	0.6	0.72	0.72	2,224	null	null	null	null	null	null	null	null	null	null	null	null	https://nuovoworcester.com/menu	https://party-request.tripleseat.com/venues/p0mgoofz	https://party-request.tripleseat.com/venues/p0mgoofz	2026-03-31T06:37:34.755899+00:00	1.33	0.78	0.2	4,358.92	95	48.6982	0.99	91	93.5	90.7	0.7936	1	0.9286	0.7129	0.6878	0.7739	0.685	0.4938	96.4	84.4	100	0	0	100	0	0	88.89	11.11	0	85	12.5	2.5	improving	improving	0.0714	12	0.2408	14.2	1	7	18	40	78.1	35.1	60	83	95.7	60	177	520	242	3,182	10,295	4,511	185,492	455,997	266,169	199,085	177	194,973	101	386,455	228,980	101	397,499	490,358	101	548,438	166	789	1,671	16,336	34,483	724,238	1,424,284	724,238	0.3264	0.3996	0.5504	0.3504	0.1996	0.691	0.3225	0.4168	0.4275	0.3332	0.6054	0.3884	0.5694	0.3616	0.1806	100	100	100	194,973	99,951	386,455	0.7297	0.8564	0.474	0.8478	0.7739	68.1	4.37	410	84.2	0.5731	9.7	0.18	226	6.5	0.2205	228,980	258,999	397,499	0.687	0.6343	0.4676	0.6492	0.685	76.3	4.32	663	82.9	0.6226	1.5	0.23	-27	7.8	0.171	490,358	446,538	548,438	0.3348	Strong	0.3817	0.2599	0.4033	0.4938	Average	73.9	4.28	579	82	Below Average	0.6271	3.9	0.27	57	8.7	0.1665	101	101	101	696	53	competitive	0.0153	31.83	1	26	58	15	2,758	1,027	competitive	0.0095	1.27	0	1	72	27	7,508	5,004	competitive	0.0109	0.32	1	81	18	0.4888	0.6711	0.2612	0.0789	100	101	136	262	197	0.8427	0.6958	0.7738	0.783	0.8611	79.1	4.42	894	86.1	0.6926	-1.3	0.13	-258	4.6	0.101	competitive	0.0071	1	0	60	40	0.778	1	3.83	0.3719	0.7301	0.3781	0.0199	100	101	2,608	5,147	3,477	0.8486	0.6991	0.8029	0.8026	0.8677	81.8	4.65	1,604	91.8	0.7856	-4	-0.1	-968	-1.1	0.008	competitive	0.004	0.0036	1	0.12	0.7901	0.2094	0.3682	0.5406	0.3818	828,388	62.9	3.88	394	76.6	0.4737	14.9	0.67	242	0.3199	0.8668	0.6749	0.7442	0.7921	0.8571	108,048	0.7725	14.1	262,933	211,487	24.3	58.7	7.7	9.2	828,389	665	64.5	4.29	347	80	0.5377	13.3	0.26	289	0.2559	0.8343	0.6672	0.7967	0.7681	0.8539	110	66.51	27.46	0.9006	665	4.84	2,065	2,074	0.4328	4,327.76	0.14	70,299	256	0.0228	228.12	2.34	99.01	0.9	99.01	1.18	99.01	0.5	99.01	0.16	99.01	-7.3	0	2	0	-39.6	null	null	null	null	null	0	-4,158	0.006	0.69	194,969	0.73	0.02	-47,862	0.063	0.61	228,974	0.687	0	-21,763	0.029	0.33	490,351	0.335	0.2	-325,071	0.244	0.78	136	0.843	0.49	-584,461	0.643	0.79	2,608	0.849	0.7936	100	0	636	0.1	3	0.105	0.351	decelerating	0.1	0.7	3	3	13	45	0.557	0.57	0.571	0.105	0.351	331,227	345,950	344,596	16	293	decelerating	-0.07	null	93.97
YD4ZB445	La Scala Ristorante	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Restaurant	183 Shrewsbury St, Worcester, MA 01604	183 Shrewsbury St	Worcester	Massachusetts	Shrewsbury Street	null	1,604	US	true	42.265706	-71.785363	America/New_York	(508) 75-***	2	null	true	Worcester	Massachusetts	US	https	https://lascalaworcester.com	lascalaworcester.com	lascalaworcester.com	com	1,213	2022-12-04	2026-12-04	Squarespace Domains II LLC	purchase_dataset@square-cafe.com, purchase_dataset@gmail.com, purchase_dataset@gmail.com	null	3	3	0	Small, family-friendly restaurant offering Italian fare in a lively setting, plus patio tables.	4.46	340	{"1": 15, "2": 7, "3": 16, "4": 63, "5": 235}	Outdoor seating, Curbside pickup, Dine-in	Fast service, Great cocktails, Great dessert, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating	Comfort food, Healthy options	Lunch, Dinner, Dessert, Seating	Bar onsite, Restroom	Casual, Cozy, Romantic, Trendy	Groups	Usually a wait	Debit cards, NFC mobile payments	High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/lascalaworcester	lascalaworcester	https://www.facebook.com/p/la-scala-ristorante-100087919857536	la-scala-ristorante-100087919857536	https://twitter.com/coupmeworcester	coupmeworcester	https://www.tiktok.com/@lascalaworcesterr	lascalaworcesterr	https://www.linkedin.com/in/dave-purvis-875ba627a	dave-purvis-875ba627a	null	null	null	null	null	null	null	null	389	2.12	null	null	1.21	2.12	286	null	null	null	null	13	6	381	4.78	null	null	null	4.85	null	null	null	2026-03-31T06:37:02.076831+00:00	0.19	1.31	0.5	4,531.43	76	48.6982	1	89.2	84.4	88.5	0.7797	1	0.3333	0.3333	0.5247	0.6893	0.7848	0.4848	66.7	76.2	100	0	0	66.67	33.33	0	66.67	33.33	0	75	21.88	3.13	improving	declining	0.6667	-9.5	-0.1914	-12.5	1	3	6	32	80.8	63.5	92	83	74.5	60	314	658	465	6,112	13,063	9,299	300,348	565,650	459,639	322,485	314	259,803	53	334,708	186,485	101	370,369	484,631	101	537,506	219	789	1,671	16,336	34,483	724,238	1,424,284	724,238	0.3291	0.3913	0.5388	0.6087	-0.2055	0.6169	0.3173	0.4239	0.6827	-0.0906	0.6758	0.3616	0.5895	0.6384	-0.2562	100	52	100	259,803	244,778	334,708	0.6406	0.6579	0.5443	0.8186	0.6893	66.8	4.15	444	83.5	0.5419	14.7	0.31	-104	5	0.2378	186,485	170,363	370,369	0.744	0.7568	0.5039	0.7631	0.7848	77.1	4.39	695	84.7	0.6532	4.4	0.07	-355	3.8	0.1265	484,631	458,520	537,506	0.3426	Average	0.3657	0.2746	0.3907	0.4848	Strong	74.1	4.27	604	81.8	Below Average	0.6247	7.4	0.19	-264	6.7	0.155	53	101	101	565	14	competitive	0.0145	16.55	5.8	21.2	59.6	13.5	2,560	1,040	competitive	0.0049	1.27	0	0	68	32	7,629	5,047	competitive	0.0056	0.32	1	79	20	0.4863	0.6706	0.5137	-0.3373	100	101	46	348	346	0.9437	0.5947	0.6028	0.7118	0.8473	79	4.43	893	86.2	0.6944	2.5	0.03	-553	2.3	0.0853	competitive	0.0038	1	0	61	39	0.7367	1	3.83	0.3819	0.7327	0.6181	-0.3994	100	101	804	6,769	6,597	0.9525	0.6072	0.6262	0.7201	0.8562	81.8	4.65	1,596	91.9	0.7794	-0.3	-0.19	-1,256	-3.4	0.0003	competitive	0.0021	0.0036	1	0.12	0.751	0.2094	0.3682	0.7906	-0.0349	828,388	62.9	3.88	394	76.6	0.4737	18.6	0.58	-54	0.306	0.9525	0.5965	0.5852	0.7259	0.8392	37,982	0.7355	11.9	327,240	342,992	24.3	58.7	7.7	9.2	828,389	665	64.5	4.29	347	80	0.5377	17	0.17	-7	0.242	0.9367	0.5648	0.6069	0.6898	0.8389	39	66.51	26.3	0.8524	665	4.84	2,065	2,074	0.4325	4,324.71	0.14	70,299	256	0.0227	227.06	2.1	188.68	0.24	99.01	0.31	99.01	0.14	99.01	0.05	99.01	1.8	0	2	0	4.5	null	null	null	null	null	0.04	-32,781	0.045	0.62	259,797	0.641	0.02	-44,395	0.059	0.68	186,477	0.744	-0.01	-12,137	0.017	0.33	484,621	0.343	0.16	-320,673	0.34	0.74	46	0.944	0.46	-586,265	0.747	0.75	804	0.953	0.7797	100	0	340	0.17	5	0.316	0.561	accelerating	0.17	1.17	5	5	6	39	0.719	0.729	0.729	0.316	0.561	213,014	221,732	221,154	7	187	accelerating	0.14	null	92.81
U8ZWGGYN	Prezo Grille & Bar	Food and Drink	Restaurants	Bar & grill	Bar & grill	229 1/2 E Main St, Milford, MA 01757	229 1/2 E Main St	Franklin Town	Massachusetts	Milford	null	1,757	US	true	42.151624	-71.493516	America/New_York	(508) 63-***	2	Milford	true	Franklin Town	Massachusetts	US	https	https://prezogrille.com	prezogrille.com	prezogrille.com	com	7,483	2005-10-04	2026-10-04	GoDaddy.com, LLC	null	null	0	0	0	Lively, trendy spot serving Italian chow, pizza & sushi, plus 20+ craft brews & cocktails.	4.33	988	{"1": 43, "2": 29, "3": 86, "4": 335, "5": 670}	Delivery, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Live music, Li(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Food, Food at bar, Happy hour drinks, Happy hour fo(...TRUNCATED)	Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	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	6	https://www.instagram.com/prezoma	prezoma	null	null	https://twitter.com/prezoma	prezoma	https://www.tiktok.com/@user4887093710988	user4887093710988	https://www.linkedin.com/in/christopher-oliveri-a8641221a	christopher-oliveri-a8641221a	https://www.youtube.com/channel/uccm6j6j0bzxfbkllygxfgtw	uccm6j6j0bzxfbkllygxfgtw	null	null	null	null	https://www.pinterest.com/prezomilford	prezomilford	1,995	0.57	null	0.22	0.5	0.59	1,256	null	null	null	null	11	7	42	2.53	null	null	null	null	null	https://resy.com/cities/providence-ri/venues/prezo-grille-and-bar	https://resy.com/cities/providence-ri/venues/prezo-grille-and-bar	2026-03-31T06:32:03.792095+00:00	5.99	0.04	0.3	19,244.94	387.1	212.6316	0.16	86.6	99.8	85.8	0.6899	null	1	0.5025	0.5736	0.4774	0.3847	0.4793	100	78.7	null	null	null	100	0	0	75	25	0	80	18.46	1.54	stable	improving	null	21.3	0.4264	27.1	0	3	24	65	78.2	32.8	88	67	97.2	60	18	269	22	1,368	16,902	1,927	100,432	708,571	139,136	109,110	18	325,859	31	395,384	626,474	53	665,127	573,076	101	664,520	302	270	520	16,336	34,483	724,238	1,424,284	724,238	0.2728	0.2243	0.5496	-0.2243	-0.0153	0.4896	0.383	0.3668	-0.383	0.1675	0.2083	0.2436	0.4339	-0.2436	0.1004	100	30	52	325,859	407,293	395,384	0.5504	0.4362	0.462	0.435	0.4774	65.6	3.95	404	76.3	0.4781	10.8	0.38	584	9.5	0.2118	626,474	457,743	665,127	0.1594	0.3717	0.1102	0.4113	0.3847	65.3	4.18	339	79.6	0.5434	11.1	0.15	649	6.2	0.1465	573,076	351,065	664,520	0.2249	Average	0.5061	0.1032	0.5314	0.4793	Below Average	69.9	4.35	328	83.9	Below Average	0.6231	6.5	-0.02	660	1.9	0.0668	31	53	101	550	89	competitive	0.0754	9.55	6.7	16.7	76.7	0	3,091	1,095	competitive	0.053	0.66	1.9	32.7	55.8	9.6	7,922	5,270	competitive	0.0293	0.32	11	82	7	0.4704	0.6185	-0.4704	-0.0842	100	101	77	161	22	0.7532	0.4744	0.9327	0.6154	0.6474	75.7	4.32	628	83	0.6334	0.7	0.01	360	2.8	0.0565	competitive	0.0155	1.43	1	77	22	0.7234	0.16	22.76	0.3819	0.7318	-0.3819	-0.1975	100	101	3,447	9,229	1,484	0.8015	0.4663	0.9161	0.6177	0.6841	81.8	4.65	1,607	91.8	0.7849	-5.4	-0.32	-619	-6	-0.095	competitive	0.0061	0.0036	1	0.12	0.7353	0.2094	0.3682	-0.2094	0.1661	828,388	62.9	3.88	394	76.6	0.4737	13.5	0.45	594	0.2162	0.8276	0.4828	0.8601	0.6406	0.708	140,418	0.7339	9.2	419,892	115,707	24.3	58.7	7.7	9.2	828,389	28	67.2	4.24	375	80.6	0.5498	9.2	0.09	613	0.1401	0.7778	0.7037	0.9259	0.8148	0.8148	7	73.27	17.47	0.8519	28	30.07	333	475	1.8869	18,869.25	0.14	70,299	256	0.0229	228.6	56.79	322.58	28.14	188.68	8.57	99.01	2.4	99.01	0.37	99.01	-1.3	0	1	0	-53.5	null	null	null	null	null	-0.02	18,880	-0.026	0.49	325,859	0.55	0.03	8,239	-0.009	0.21	626,474	0.159	0.01	-16,944	0.024	0.27	573,076	0.225	0.35	-490,077	0.354	0.72	77	0.753	0.44	-583,622	0.596	0.74	3,447	0.802	0.6899	null	null	988	0.07	2	0.375	0.457	decelerating	0.07	0.47	2	2	12	73	0.439	0.452	0.454	0.375	0.457	417,455	437,538	435,431	5	99	decelerating	-0.03	null	90.74
TQRZ5Q8Q	Sachi Japanese Steak House And Sushi Bar	Food and Drink	Restaurants	Japanese restaurant	Japanese restaurant, Japanese steakhouse, Restaurant, Steak house, Sushi restaurant	200 Union St b106, Westborough, MA 01581	200 Union St b106	Marlborough	Massachusetts	Westborough	null	1,581	US	true	42.270674	-71.610127	America/New_York	(508) 36-***	2	Westborough	true	Marlborough	Massachusetts	US	https	https://sachisteakhouse.com	sachisteakhouse.com	sachisteakhouse.com	com	4,099	2015-01-09	2027-01-09	GoDaddy.com, LLC	null	null	0	0	0	"Chefs prepare grilled fare tableside at this festive, contemporary Japanese eatery with a full bar.(...TRUNCATED)	4.27	482	{"1": 31, "2": 16, "3": 40, "4": 103, "5": 300}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great tea selection, Great wine list	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, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Romantic, Trendy	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	4	https://www.instagram.com/sachisteakhouse	sachisteakhouse	https://www.facebook.com/sachisteakhouse	sachisteakhouse	null	null	https://www.tiktok.com/@sachi.says	sachi.says	https://www.linkedin.com/in/oscar-li-a27456359	oscar-li-a27456359	null	null	null	null	null	null	null	null	14	21.43	null	null	null	null	1	null	null	null	null	37,300	236	1,900,000	5.09	4.67	1.12	1.29	2.53	https://sachisteakhouse.com	null	null	2026-03-31T04:50:33.608278+00:00	89.23	0.16	0	19,214.43	455.7	138.3562	0.2	85.4	89.5	82.2	0.6386	1	0.552	0.7892	0.6881	0.8913	0.1042	0.607	77.6	84.4	100	0	0	75	12.5	12.5	88.24	5.88	5.88	85.29	8.82	5.88	improving	declining	0.448	-6.8	-0.1361	-8.1	1	8	17	34	76.9	45.1	84	83	80.7	60	95	353	137	4,428	18,726	6,520	238,594	776,289	353,631	256,462	95	96,359	18	513,115	616,297	47	584,848	455,824	101	555,104	342	301	620	16,336	34,483	724,238	1,424,284	724,238	0.3793	0.4266	0.592	0.3234	-0.04	0.7149	0.3676	0.6212	0.3824	-0.0692	0.1494	0.279	0.3982	0.471	0.1538	100	17	46	96,359	50,041	513,115	0.8661	0.9259	0.3024	0.9245	0.8913	71	4.46	324	86.5	0.633	6.6	-0.19	158	-4.3	0.0056	616,297	709,027	584,848	0.1729	0.0504	0.2173	0.0539	0.1042	65.7	3.71	444	71.7	0.4386	11.9	0.56	38	10.5	0.2	455,824	351,065	555,104	0.3805	Strong	0.5061	0.2508	0.5314	0.607	Emerging	75	4.35	564	83.9	Below Average	0.6553	2.6	-0.08	-82	-1.7	-0.0167	18	47	101	279	51	competitive	0.0805	5.41	0	5.9	88.2	5.9	2,641	1,210	competitive	0.0231	0.59	6.5	10.9	80.4	2.2	8,027	5,181	competitive	0.0085	0.32	2	78	20	0.4062	0.6195	0.3438	-0.0675	100	101	61	194	104	0.8185	0.4077	0.6935	0.4673	0.5327	76.7	4.37	661	84.6	0.6768	0.9	-0.1	-179	-2.4	-0.0382	competitive	0.0072	1.75	0	80	20	0.6577	0.2	18.35	0.3819	0.7318	0.3681	-0.1798	100	101	2,734	10,326	4,876	0.8421	0.4079	0.7236	0.4837	0.593	81.8	4.65	1,607	91.8	0.7849	-4.2	-0.38	-1,125	-9.6	-0.1463	competitive	0.003	0.0036	1	0.12	0.6763	0.2094	0.3682	0.5406	0.1838	828,388	62.9	3.88	394	76.6	0.4737	14.7	0.39	88	0.1649	0.8614	0.4364	0.6706	0.531	0.633	112,567	0.6767	5.6	460,497	272,447	24.3	58.7	7.7	9.2	828,389	246	68.2	4.27	366	80.8	0.5807	9.4	0	116	0.0579	0.8122	0.3592	0.6898	0.4245	0.4939	46	74.11	13.92	0.5878	246	23.93	418	730	1.5823	15,823.46	0.14	70,299	256	0.0229	228.6	64.88	555.56	5.32	212.77	0.72	99.01	0.52	99.01	0.09	99.01	-2.4	0	3	0.2	-22.3	null	null	null	null	null	0.15	-153,950	0.213	0.71	96,358	0.866	-0.02	32,126	-0.041	0.15	616,296	0.173	0.03	-52,787	0.071	0.38	455,823	0.381	0.24	-466,264	0.389	0.66	61	0.819	0.38	-584,335	0.637	0.68	2,734	0.842	0.6386	100	0	482	0.1	3	0	0.388	stable	0.1	0.7	3	3	9	40	0.557	0.57	0.571	0	0.388	331,227	345,950	344,596	3	100	stable	-0.07	null	88.03
TAV3AHUQ	Post Office Pub Restaurant	Food and Drink	Restaurants	American restaurant	"American restaurant, Bar & grill, Breakfast restaurant, Brunch restaurant, Caterer, Family restaura(...TRUNCATED)	1 Ray St, North Grafton, MA 01536	1 Ray St	Worcester	Massachusetts	North Grafton	null	1,536	US	true	42.232461	-71.707492	America/New_York	(508) 83-***	2	null	true	Worcester	Massachusetts	US	http	http://postofficepub.com	postofficepub.com	postofficepub.com	com	6,720	2007-11-06	2031-11-06	GoDaddy.com, LLC	purchase_dataset@verizon.net	null	1	0	1	Old-timey American restaurant & bar decorated with U.S. Postal Service memorabilia.	4.26	1,109	{"1": 56, "2": 53, "3": 158, "4": 441, "5": 756}	Outdoor seating, 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 food, Hard liquor, Private dining room, (...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Groups, Tourists	Brunch reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/postofficepub	postofficepub	https://www.facebook.com/thepostofficepub	thepostofficepub	https://twitter.com/postofficepubma	postofficepubma	null	null	https://www.linkedin.com/in/jeanne-lazzaro-7a3686189	jeanne-lazzaro-7a3686189	null	null	null	null	null	null	https://www.pinterest.com/hesterzampinop4	hesterzampinop4	1,022	0.99	null	0.28	0.28	0.3	529	null	null	null	null	null	null	null	null	null	null	null	null	https://postofficepub.com/wp-content/uploads/2024/04/post-office-pub-menu-4-2024.pdf	https://opentable.com/restaurant/profile/1458022	https://opentable.com/restaurant/profile/1458022	2026-03-31T04:45:39.356921+00:00	0.49	1.04	0.4	4,347.47	76.1	48.6982	0.99	85.2	100	83.1	0.6807	null	0.4514	0.413	0.5168	0.9245	0.2738	0.767	72.6	75.8	null	null	null	76.92	23.08	0	71.74	23.91	4.35	76.04	17.71	6.25	stable	declining	null	-3.2	-0.0654	-4.2	0	13	46	96	74.7	36.8	68	83	77.3	60	28	926	30	586	18,904	722	42,279	783,102	52,966	45,547	28	89,596	7	506,198	633,771	43	684,767	233,466	101	417,505	345	789	1,671	16,336	34,483	724,238	1,424,284	724,238	0.5982	0.477	0.6538	-0.477	-0.2626	0.7079	0.2917	0.226	-0.2917	0.1652	0.1562	0.1825	0.4265	-0.1825	-0.0353	100	6	42	89,596	82,114	506,198	0.8756	0.8804	0.312	0.8914	0.9245	71.3	4.4	329	85.4	0.6572	3.8	-0.14	780	-2.3	0.0235	633,771	563,634	684,767	0.1501	0.2362	0.0842	0.3143	0.2738	65	4.08	307	78.2	0.5108	10.1	0.18	802	4.9	0.1699	233,466	236,527	417,505	0.6742	Strong	0.6588	0.436	0.6726	0.767	Emerging	78.8	4.42	813	85.7	Average	0.6899	-3.7	-0.16	296	-2.6	-0.0092	7	43	101	775	265	concentrated	0.3595	1.91	0	16.7	50	33.3	3,378	1,145	competitive	0.0792	0.53	2.4	21.4	69	7.1	7,809	5,049	competitive	0.0135	0.32	0	62	38	0.4963	0.6747	-0.4963	-0.2835	100	101	211	519	32	0.7566	0.3984	0.9644	0.5063	0.6361	79.1	4.42	889	86.2	0.6937	-4	-0.16	220	-3.1	-0.013	competitive	0.0123	1	0	60	40	0.7115	1	3.83	0.3719	0.7335	-0.3719	-0.3423	100	101	4,275	10,479	670	0.7546	0.3989	0.9618	0.5148	0.6716	81.8	4.65	1,605	91.8	0.7827	-6.7	-0.39	-496	-8.7	-0.102	competitive	0.0069	0.0036	1	0.12	0.71	0.2094	0.3682	-0.2094	0.023	828,388	62.9	3.88	394	76.6	0.4737	12.2	0.38	715	0.207	0.7894	0.4292	0.942	0.5554	0.6943	171,986	0.7271	6.5	466,850	47,662	24.3	58.7	7.7	9.2	828,389	665	64.5	4.29	347	80	0.5377	10.6	-0.03	762	0.143	0.7425	0.3539	0.9699	0.4699	0.6099	168	66.51	21.71	0.6506	665	4.84	2,065	2,074	0.4305	4,304.85	0.14	70,299	256	0.0228	228.3	1,292.27	1,428.57	62.69	232.56	1.81	99.01	1.52	99.01	0.47	99.01	-10.8	0	0	0	-58.6	null	null	null	null	null	0.03	-57,081	0.08	0.71	89,595	0.876	-0.01	-4,599	0.008	0.16	633,770	0.15	0.04	-74,140	0.097	0.6	233,462	0.674	0.14	-324,996	0.158	0.71	211	0.757	0.41	-582,794	0.549	0.71	4,275	0.755	0.6807	null	null	1,109	0.13	4	0.522	0.554	decelerating	0.13	0.93	4	4	33	106	0.648	0.66	0.66	0.522	0.554	264,626	275,746	274,862	12	255	decelerating	-0.17	null	88.22
S36ZQ24M	Clintons Bar & Grille	Food and Drink	Restaurants	Bar & grill	Bar & grill, American restaurant, Steak house	27 High St, Clinton, MA 01510	27 High St	Leominster	Massachusetts	Clinton	null	1,510	US	true	42.416542	-71.684578	America/New_York	(978) 59-***	3	Clinton	true	Leominster	Massachusetts	US	https	https://clintonsbargrille.com	clintonsbargrille.com	clintonsbargrille.com	com	4,340	2014-05-13	2026-05-13	GoDaddy.com, LLC	null	null	0	0	0	"Familiar American eats with a twist are featured at this choice venue with a comfortable atmosphere(...TRUNCATED)	4.55	1,152	{"1": 41, "2": 23, "3": 54, "4": 221, "5": 904}	Outdoor seating, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great wine list, (...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Food, Food at bar, Hard liquor, Healthy options, La(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy, Upscale	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	https://www.instagram.com/sbredtruckclub	sbredtruckclub	https://www.facebook.com/clintonsbargrille	clintonsbargrille	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2,433	1.19	null	null	0.12	0.4	2,173	null	null	null	null	null	null	null	null	null	null	null	null	https://clintonsbargrille.com/menu.html	https://clintonsbargrille.com/reservation.html	https://clintonsbargrille.com/reservation.html	2026-03-31T02:40:14.361183+00:00	5.55	0.69	0.3	13,273.59	861.4	177.193	0.21	91	100	90.3	0.7928	1	0.8231	0.7717	0.7745	0.8758	0.3577	0.2165	91.2	88.7	100	0	0	91.3	8.7	0	87.72	10.53	1.75	88.52	9.84	1.64	improving	stable	0.1769	2.5	0.0486	2.8	3	23	57	122	80.5	54	56	83	91.5	60	4	116	4	388	10,244	484	28,499	453,908	35,517	30,549	4	116,879	19	618,546	497,686	16	715,174	621,109	57	676,908	162	206	423	16,336	34,483	724,238	1,424,284	724,238	0.1948	0.2537	0.4833	0.7463	0.2739	0.6472	0.1111	0.5026	0.8889	0.2546	0.3003	0.3333	0.5003	0.6667	0.2569	56	18	15	116,879	82,114	618,546	0.8377	0.8804	0.16	0.8879	0.8758	70.2	4.4	240	85.3	0.6234	10.6	0.15	912	5	0.1694	497,686	347,451	715,174	0.3307	0.5162	0.0438	0.4625	0.3577	69.7	4.26	239	80.3	0.5358	11.1	0.29	913	10	0.257	621,109	470,409	676,908	0.1602	Average	0.3494	0.0866	0.3552	0.2165	Below Average	66.9	4.26	300	81.2	Emerging	0.5322	13.9	0.29	852	9.1	0.2606	19	16	57	330	50	competitive	0.2106	5.73	0	5.6	88.9	5.6	2,320	1,262	competitive	0.2431	0.19	0	13.3	80	6.7	8,361	5,152	competitive	0.0642	0.18	23.2	64.3	12.5	0.3121	0.5671	0.6879	0.1901	100	101	15	60	4	0.9369	0.7117	0.9865	0.7793	0.8468	74.6	4.3	577	82.3	0.6283	6.2	0.25	575	8	0.1645	competitive	0.0196	1.3	1	82	17	0.8842	0.21	17.04	0.3819	0.7328	0.6181	0.0244	100	101	1,060	5,147	401	0.9382	0.6991	0.9772	0.7876	0.8687	81.8	4.65	1,595	91.9	0.7842	-1	-0.1	-443	-1.6	0.0086	competitive	0.0072	0.0036	1	0.12	0.8782	0.2094	0.3682	0.7906	0.389	828,388	62.9	3.88	394	76.6	0.4737	17.9	0.67	758	0.3191	0.9394	0.6749	0.9611	0.7811	0.8561	48,574	0.8666	13.7	262,933	31,903	24.3	58.7	7.7	9.2	828,389	20	63.3	4.24	254	80.8	0.5937	17.5	0.31	898	0.1991	1	0.9474	1	0.9474	0.9474	1	78.92	13.34	0.7368	20	22.84	438	570	1.3172	13,171.85	0.14	70,299	256	0.0227	226.86	443.38	526.32	591.17	625	41.28	175.44	3.84	99.01	0.51	99.01	-2.5	0.01	36	0.2	-41.7	null	null	null	null	null	0.05	-90,482	0.125	0.65	116,879	0.838	0.04	-59,503	0.08	0.3	497,686	0.331	0.04	-21,993	0.031	0.19	621,109	0.16	0.55	-537,352	0.594	0.88	15	0.937	0.59	-586,009	0.733	0.88	1,060	0.938	0.7928	100	0	1,152	0.4	12	0.857	0.969	stable	0.4	2.8	12	12	39	141	0.92	0.923	0.923	0.857	0.969	66,515	69,132	69,106	2	7	stable	-0.1	null	92.26

End of preview. Expand in Data Studio

All Restaurants in Worcester (Metro), Massachusetts, US

Free sample dataset from BeamStation

This dataset provides a complete weekly export of every restaurant operating in the Worcester metropolitan area of Massachusetts, United States. It contains 1,316 records, each representing a distinct dining establishment captured from the most recent refresh. The data includes all available columns for each venue, such as the restaurant name, physical address, telephone number, cuisine classification, operating hours, and geographic coordinates, enabling detailed spatial and categorical analysis. Researchers, urban planners, food‑industry analysts, and local business developers can use this information to map dining density, identify service gaps, study market trends, or support location‑based decision making. Because the file is refreshed every week, users can track openings, closures, and updates in near real time, making it a reliable foundation for both longitudinal studies and short‑term operational planning within the Worcester metro region.

Dataset Details

Field	Value
Full dataset	1,316 records
Sample size	25 records
Location	Worcester, MA
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-worcester-metro-massachusetts-us-113973")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 1,316 records and unmasked contact data is available at:

All Restaurants in Worcester (Metro), Massachusetts, US on BeamStation

License

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

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