Datasets:

beamstation
/

all-restaurants-in-lawrence-massachusetts-us-109835

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 null	neighborhood null	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place null	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github null	social_username_github null	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m null	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links null	reservation_link null	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d null	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 null	sentiment_negative_pct_30d null	sentiment_neutral_pct_30d null	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 null	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating 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_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_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_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_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_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 null	beam_trends_score_90d_rating null	beam_trends_score_90d_review_count null	beam_trends_score_90d_beam_rating_health null	beam_trends_score_90d_beam_popularity_percentile null	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change 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 null	beam_trends_sentiment_negative_ratio null	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 float64	beam_velocity_reviews_last_90d float64	beam_velocity_reviews_last_365d float64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	beam_velocity_rank_city float64	beam_velocity_rank_state float64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
JYR2JMHJ	CAFETERIA Food Hall	Food and Drink	Restaurants	Restaurant	Restaurant	125 Essex St, Lawrence, MA 01840	125 Essex St	Lawrence	Massachusetts	null	null	1,840	US	true	42.707969	-71.15667	America/New_York	(978) 92-***	2	OPERATIONAL	true	true	null	true	Lawrence	Massachusetts	US	https	https://cafeteriafoodhall.com	cafeteriafoodhall.com	cafeteriafoodhall.com	com	1,095	2023-04-08	2027-04-08	GoDaddy.com, LLC	null	null	0	0	0	null	true	false	0.44	34	{"1": 0, "2": 1, "3": 2, "4": 4, "5": 28}	Outdoor seating, Delivery, Takeout, Dine-in	Fast service	Breakfast, Lunch, Solo dining	Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Late-night food, Quick bite, Small pla(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Trendy	Family-friendly, Groups, LGBTQ+ friendly	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-11-03	2026-02-03	155	63	23	155	155	63	63	https://www.instagram.com/cafeteria_food_hall	cafeteria_food_hall	https://www.facebook.com/61574562437619	61574562437619	https://twitter.com/pnpayano	pnpayano	https://www.tiktok.com/@cafeteriafoodhall	cafeteriafoodhall	null	null	null	null	null	null	null	null	null	null	3,327	2.32	null	1.27	2.32	2.32	158	43	0	0	null	null	null	null	null	https://gotab.io/loc/cafeteriafoodhall/menu/cevichecafetria~ceviche/spot/online-order/order/.m32_eyexamfgwxyltgn5o6ff?select-menu=1	null	null	2026-04-07T06:51:54.388709+00:00	3.73	0	0.3	6,028.92	123	21.8001	0.59	8.8	51.5	8.8	0.8048	null	0.1761	0.2382	0.2382	0.5746	0.5256	0.5668	58.8	61.9	null	null	null	0	0	100	33.33	0	66.67	33.33	0	66.67	stable	declining	null	-3.1	-0.0621	-5	1	3	3	-33.3	33.3	-100	34.3	9.5	72	50	67.6	46	193	70	349	13,092	4,292	24,147	546,781	129,250	1,010,249	588,322	193	686,398	65	681,415	523,386	101	460,373	533,350	101	535,104	35	285	610	16,390	34,846	733,669	1,458,104	733,669	0.2768	0.0198	0.3932	-0.0198	-0.2171	0.1022	0.0043	0.2212	-0.0043	-0.0451	0.2557	0.0312	0.2691	-0.0312	-0.093	100	64	100	686,398	631,208	681,415	0.0792	0.1478	0.0874	0.3212	0.5746	33.3	0.26	182	10.9	0.5077	1	0.18	-148	-2.1	0.2971	523,386	713,559	460,373	0.3048	0.0534	0.3924	0.0297	0.5256	44.2	0.24	723	3.8	0.5709	-9.9	0.2	-689	5	0.2339	533,350	553,557	535,104	0.2858	Emerging	0.2542	0.2875	0.2598	0.5668	Below Average	46.3	0.52	737	8.6	Below Average	0.6393	-12	-0.08	-703	0.2	0.1655	65	101	101	432	0	competitive	0.0029	20.37	73.4	26.6	3,167	1,000	competitive	0.0005	1.27	25	72	3	7,831	5,001	competitive	0.0005	0.32	17	74	9	0.0367	0.3524	-0.0367	-0.1763	100	101	183	67	270	0.4185	0.7827	0.1406	0.7859	0.869	44	0.21	525	3.8	0.6586	-9.7	0.23	-491	5	0.1462	competitive	0.0006	5.2	22	77	1	0.4444	0.59	4.94	0.2632	0.6527	-0.2632	-0.4766	100	101	9,786	3,351	16,331	0.4469	0.8112	0.0817	0.8105	0.7676	50.9	0.4	2,562	5	0.8206	-16.6	0.04	-2,528	3.8	-0.0158	competitive	0.0001	0.0036	1.47	0.07	0.4466	0.059	0.2307	-0.059	-0.0546	791,801	41.1	0.94	531	20.4	0.4595	-6.8	-0.5	-497	0.3453	0.3202	0.5589	0.2543	0.5689	0.8808	536,504	0.372	-11.6	348,218	588,694	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	7	0.89	-199	0.1293	0.5431	0.573	0.3296	0.794	0.5506	121	61.79	-5.91	0.3258	268	11.22	891	4,633	0.5892	5,892.22	0.14	70,299	256	0.0364	364.49	0.09	153.85	0	99.01	0	99.01	0	99.01	0	99.01	-34.6	-4.24	0	-82.4	-17.9	null	null	null	null	null	-0.09	75,617	-0.089	0.1	686,393	0.079	-0.2	186,245	-0.239	0.26	523,359	0.305	-0.1	89,153	-0.11	0.28	533,298	0.286	-0.12	55	-0.159	0.44	183	0.419	-0.05	749	-0.039	0.45	9,786	0.447	0.8048	null	null	34	0	0	0	0	decelerating	0.03	0.23	1	1	6	34	0.242	0.25	0.252	0.289	0.233	655,507	693,414	690,487	72	1,684	decelerating	-0.1	-0.24	88.24
553NRBD4	Chipotle Mexican Grill	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Caterer, Fast food restaurant	93 Turnpike St, North Andover, MA 01845	93 Turnpike St	Lawrence	Massachusetts	null	null	1,845	US	true	42.675983	-71.131775	America/New_York	(978) 68-***	2	null	true	true	null	true	Lawrence	Massachusetts	US	https	https://locations.chipotle.com/ma/north-andover/93-turnpike-st	locations.chipotle.com/ma/north-andover/93-turnpike-st	locations.chipotle.com	com	10,595	1997-04-01	2027-04-02	CSC Corporate Domains, Inc.	"purchase_dataset@chipotle.com, purchase_dataset@chipotle.com, purchase_dataset@chipotle.com, purcha(...TRUNCATED)	null	11	11	0	Casual restaurant offering Mexican fare, including design-your-own burritos, tacos & bowls.	true	true	1.42	860	{"1": 390, "2": 65, "3": 64, "4": 118, "5": 224}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Comfort food, Healthy options, Quick bite, Vegetarian options	Lunch, Dinner, Catering, Counter service, Seating	Restroom	Casual, Trendy	College students, Groups, LGBTQ+ friendly, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-10-30	2026-02-14	159	52	24	159	159	52	52	https://www.instagram.com/chipotle	chipotle	https://www.facebook.com/chipotle	chipotle	null	null	null	null	https://www.linkedin.com/company/chipotle-mexican-grill	chipotle-mexican-grill	https://www.youtube.com/chipotle	chipotle	null	null	null	null	null	null	1,737,621	1.04	null	1.1	1.04	1.04	866	null	null	null	null	null	null	null	null	https://chipotle.com/menu	null	null	2026-04-07T03:41:53.215090+00:00	1,950.19	0.4	0	5,953.5	122.4	21.8001	0.58	28.4	97.8	16.3	-0.2332	null	-0.5	-0.6003	-0.2656	0.401	0.7337	0.3142	25	36.7	null	null	null	25	75	0	15.38	76.92	7.69	36.11	61.11	2.78	stable	declining	null	-11.7	-0.2344	-31.9	8	13	36	23.1	-11.1	-100	45.4	32.8	72	83	32	46	11	344	14	1,993	24,021	2,773	132,209	1,052,795	184,267	142,465	11	556,072	15	528,941	570,905	101	613,157	608,857	101	527,897	14	285	610	16,390	34,846	733,669	1,458,104	733,669	0.1993	0.0382	0.3372	-0.0382	-0.8372	0.234	0.1807	0.0041	-0.1807	-0.5041	0.1648	0.0096	0.2841	-0.0096	-0.7841	100	14	100	556,072	625,177	528,941	0.2505	0.1554	0.2908	0.2018	0.401	37.9	0.27	356	8.2	0.4571	7.5	1.15	504	8.1	-0.6903	570,905	729,653	613,157	0.2429	0.0344	0.1912	0.0252	0.7337	43	0.2	479	3.6	0.6361	2.4	1.22	381	12.7	-0.8693	608,857	656,575	527,897	0.1869	Below Average	0.1181	0.2971	0.0809	0.3142	Emerging	43.5	0.36	756	5.3	Emerging	0.5549	1.9	1.06	104	11	-0.7881	15	101	101	387	11	competitive	0.1472	4.46	50	50	3,054	1,096	competitive	0.0176	1.27	29	70	1	7,394	5,060	competitive	0.0113	0.32	32	63	5	0.0367	0.3524	-0.0367	-0.8524	100	101	60	47	24	0.8115	0.853	0.9265	0.8275	0.0064	44	0.21	525	3.8	0.6586	1.4	1.21	335	12.5	-0.8918	competitive	0.0161	5.2	22	77	1	0.8585	0.59	4.94	0.2632	0.6575	-0.2632	-1.1575	100	101	2,635	2,751	10,252	0.8495	0.8453	0.4226	0.8269	0.0084	50.6	0.36	2,566	4.4	0.8219	-5.2	1.06	-1,706	11.9	-1.0551	competitive	0.0033	0.0036	1.47	0.07	0.7202	0.059	0.2307	-0.059	-0.7307	791,801	41.1	0.94	531	20.4	0.4595	4.3	0.48	329	-0.6927	0.6293	0.6179	0.8096	0.6015	0.0133	291,161	0.68	-4.1	302,217	150,575	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	3.9	-1.98	597	-0.7157	0.4794	0.0262	0.9663	0.8315	0.0075	140	61.79	-11.61	0.3034	268	11.22	891	4,633	0.5892	5,892.22	0.14	70,299	256	0.0365	365.02	216.56	666.67	3.11	99.01	1.27	99.01	2.6	99.01	0.11	99.01	-16	-1.19	32	-22	-33.7	null	null	null	null	null	0.02	-8,527	0.021	0.23	556,071	0.251	-0.29	221,219	-0.284	0.16	570,892	0.243	-0.07	90,370	-0.111	0.2	608,837	0.187	0.41	-132	0.432	0.86	60	0.812	0.34	-9,989	0.566	0.72	2,635	0.85	-0.2332	null	null	830	0.07	2	0.702	0.669	decelerating	0.07	0.47	2	2	10	42	0.732	0.739	0.74	0.702	0.669	156,567	163,872	163,540	13	138	decelerating	-0.03	null	48.31
X7LSTZCS	Villa Colombia Grill	Food and Drink	Restaurants	Restaurant	Restaurant	168 Broadway, Lawrence, MA 01840	168 Broadway	Lawrence	Massachusetts	null	null	1,840	US	true	42.706678	-71.169862	America/New_York	(978) 75-***	0	CLOSED_TEMPORARILY	false	false	null	true	Lawrence	Massachusetts	US	https	https://villacolombiagrill.com	villacolombiagrill.com	villacolombiagrill.com	com	308	2025-06-03	2026-06-03	GoDaddy.com, LLC	null	null	0	0	0	null	true	false	0	0	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 0}	Curbside pickup, No-contact delivery, Takeout, Dine-in	null	Dinner, Solo dining	null	Comfort food	Dinner	Restroom	Casual, Cozy	Groups	null	Credit cards, Debit cards	Good for kids	false	true	purchase_dataset@	true	true	2	2025-06-17	2025-07-01	294	280	2	294	294	280	280	https://www.instagram.com/villa.colombia.grill	villa.colombia.grill	https://www.facebook.com/villacolombiana	villacolombiana	null	null	null	null	null	null	null	null	null	null	null	null	null	null	62	10.48	null	null	null	10.48	2	null	null	null	null	null	null	null	null	null	null	null	2026-04-07T03:38:34.446743+00:00	0.07	null	2.6	6,509.72	246	21.8001	0.59	0	0	50	null	null	null	null	null	0.2603	0.5714	0.5887	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	null	null	32	19.5	68	50	50	46	282	612	612	16,308	35,100	35,100	728,312	1,542,081	1,542,081	786,016	282	717,378	71	668,513	548,124	101	449,574	526,443	101	551,968	257	285	610	16,390	34,846	733,669	1,458,104	733,669	0.2658	0.015	0.433	-0.015	-0.433	0.0671	0.0296	0.1324	-0.0296	-0.1324	0.2425	0.031	0.2683	-0.031	-0.2683	100	70	100	717,378	693,107	668,513	0.0389	0.0672	0.1046	0.2323	0.2603	30.9	0.13	203	8.9	0.4125	1.1	null	-203	41.1	-0.4125	548,124	726,281	449,574	0.2724	0.0384	0.4068	0.018	0.5714	43.6	0.21	741	3.2	0.5848	-11.6	null	-741	46.8	-0.5848	526,443	573,598	551,968	0.2948	Emerging	0.2278	0.265	0.2279	0.5887	Below Average	46.5	0.49	691	8	Below Average	0.6457	-14.5	null	-691	42	-0.6457	71	101	101	544	22	competitive	0	22.28	82.9	17.1	3,162	1,025	competitive	0	1.27	26	73	1	7,290	5,015	competitive	0	0.32	15	77	8	0.0367	0.3524	-0.0367	-0.3524	100	101	203	1	297	0.3514	0.8978	0	0.9233	0.0256	44	0.21	525	3.8	0.6586	-12	null	-525	46.2	-0.6586	competitive	0	5.2	22	77	1	0.4099	0.59	4.94	0.2632	0.6492	-0.2632	-0.6492	100	101	11,001	1	17,201	0.3785	0.9433	0.0255	0.9533	0.0292	50.6	0.36	2,561	4.5	0.8207	-18.6	null	-2,561	45.5	-0.8207	competitive	0	0.0036	1.47	0.07	0.442	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-9.1	null	-531	-0.4595	0.2714	0.9087	0	0.7759	0.0391	575,249	0.3812	29.6	1	717,607	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	-16.4	null	-233	-0.4846	0.2697	0.7041	0	0.8801	0.0187	196	61.79	-61.79	0	268	11.22	891	4,633	0.5892	5,892.22	0.14	70,299	256	0.0364	364.24	0	140.85	0	99.01	0	99.01	0	99.01	0	99.01	-1.9	null	0	0	0	null	null	null	null	null	-0.05	45,678	-0.049	0.07	717,354	0.039	-0.21	206,632	-0.266	0.24	548,045	0.272	-0.12	90,155	-0.112	0.27	526,331	0.295	0.1	-75	0.254	0.41	203	0.351	0.13	-5,648	0.321	0.44	11,001	0.379	null	null	null	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
MZYE7J2Q	Mir Tapas Lounge	Food and Drink	Restaurants	Spanish restaurant	Spanish restaurant	102 Essex St, Lawrence, MA 01840	102 Essex St	Lawrence	Massachusetts	null	null	1,840	US	true	42.7075	-71.156111	America/New_York	(978) 88-***	0	OPERATIONAL	true	false	null	true	Lawrence	Massachusetts	US	http	http://mir-tapas-lounge.keeq.io	mir-tapas-lounge.keeq.io	mir-tapas-lounge.keeq.io	io	1,765	2021-06-07	2028-06-07	NameCheap, Inc.	null	null	0	0	0	null	true	false	0	86	{"1": 6, "2": 5, "3": 11, "4": 19, "5": 45}	Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Live music	null	Wheelchair accessible entrance, Wheelchair accessible parking lot	"Alcohol, Beer, Cocktails, Comfort food, Hard liquor, Late-night food, Quick bite, Small plates, Win(...TRUNCATED)	Dinner, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	false	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/mirtapaslounge	mirtapaslounge	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-07T00:25:19.255952+00:00	0	0	6.6	6,742.99	645.3	29.3546	0.43	0	64.7	0	0.518	null	null	null	1	0.5376	0.5481	0.5493	null	100	null	null	null	null	null	null	null	null	null	100	0	0	stable	stable	null	null	null	null	0	0	1	null	-100	null	29.1	19.5	8	67	50	94	164	379	257	11,506	26,152	19,584	483,373	1,121,818	831,690	518,874	164	688,096	64	691,288	581,747	138	527,647	584,117	136	574,790	206	285	610	16,390	34,846	733,669	1,458,104	733,669	0.2166	0.0148	0.4324	-0.0148	-0.4324	0.1047	0.0105	0.2123	-0.0105	-0.2123	0.1985	0.055	0.324	-0.055	-0.324	135	63	137	688,096	612,789	691,288	0.0771	0.1717	0.0743	0.3475	0.5376	33.2	0.29	164	11.5	0.4969	-4.1	-0.29	-78	-11.5	0.0211	581,747	713,559	527,647	0.2284	0.0534	0.3036	0.0382	0.5481	42.7	0.24	615	4.1	0.5776	-13.6	-0.24	-529	-4.1	-0.0596	584,117	599,050	574,790	0.2195	Emerging	0.1947	0.2347	0.1972	0.5493	Emerging	44.5	0.45	629	7.5	Below Average	0.6341	-15.4	-0.45	-543	-7.5	-0.1161	64	138	136	440	39	competitive	0.0083	20.05	74.6	25.4	3,021	1,005	competitive	0.001	1.74	35.8	62	2.2	7,978	5,003	competitive	0.001	0.43	25.9	67.4	6.7	0.0426	0.375	-0.0426	-0.375	135	136	220	279	164	0.2939	0	0.476	0	0.3962	42.7	0.22	445	4.1	0.6538	-13.6	-0.22	-359	-4.1	-0.1358	competitive	0.0014	7.02	33.3	65.9	0.7	0.2604	0.43	6.47	0.2618	0.6574	-0.2618	-0.6574	192	193	15,221	16,897	9,219	0.1427	0.0124	0.481	0.0461	0.4112	57	1.36	1,747	20.9	0.7464	-27.9	-1.36	-1,661	-20.9	-0.2284	competitive	0.0003	0.007	0.76	0.16	0.2051	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-12	-0.94	-445	0.0585	0.2146	0	0.3428	0	0.4977	620,557	0.1887	-20.4	695,148	519,180	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	-19.3	null	-147	0.0334	0.2097	0.7041	0.4382	0	0.427	210	61.79	24.09	0.588	268	15.14	660	4,633	0.6743	6,742.99	0.27	36,614	256	0.0477	477.17	0.68	156.25	0.01	72.46	0.01	73.53	0.02	73.53	0	51.81	-25.8	-4.05	0	-73.3	0	null	null	null	null	null	-0.06	59,929	-0.068	0.1	688,095	0.077	-0.26	244,606	-0.315	0.2	581,744	0.228	-0.17	143,927	-0.182	0.22	584,114	0.22	-0.04	-9	0.034	0.26	220	0.294	-0.03	722	-0.035	0.21	15,221	0.143	0.518	null	null	86	0	0	0	0	stable	0	0	0	0	0	1	null	null	null	0	0	null	null	null	2	11	stable	null	null	85.88
U8LB9XGD	Little Caesars Pizza	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Fast food restaurant, Pizza delivery, Pizza Takeout	360 Broadway, Lawrence, MA 01841	360 Broadway	Lawrence	Massachusetts	null	null	1,841	US	true	42.711292	-71.173972	America/New_York	(978) 20-***	1	OPERATIONAL	true	true	null	true	Lawrence	Massachusetts	US	https	https://littlecaesars.com/en-us/store/8659	littlecaesars.com/en-us/store/8659	littlecaesars.com	com	10,784	1996-09-27	2027-09-26	GoDaddy Corporate Domains, LLC	"purchase_dataset@lcecorp.com, purchase_dataset@littlecaesarsfundraising.com, purchase_dataset@littl(...TRUNCATED)	realdomain	18	2	16	"Carry-out chain featuring chicken wings, signature breadsticks & pizza tossed from housemade dough.(...TRUNCATED)	true	true	0.03	362	{"1": 72, "2": 8, "3": 44, "4": 56, "5": 183}	Delivery, Takeout	null	Lunch, Dinner	Wheelchair accessible entrance, Wheelchair accessible parking lot	Comfort food, Late-night food, Quick bite, Small plates	Lunch, Dinner, Dessert	null	Casual	College students, Family-friendly	null	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	7	2025-09-09	2026-02-12	210	54	74	210	210	54	54	https://www.instagram.com/littlecaesars	littlecaesars	https://www.facebook.com/littlecaesarspizzafordhamrd15520005	littlecaesarspizzafordhamrd15520005	https://twitter.com/littlecaesars	littlecaesars	https://www.tiktok.com/@littlecaesarspizza	littlecaesarspizza	https://www.linkedin.com/company/little-caesars	little-caesars	https://www.youtube.com/littlecaesarspizza	littlecaesarspizza	null	null	null	null	https://www.pinterest.com/littlecaesarsfundraising	littlecaesarsfundraising	602,542	0.33	null	0.48	0.33	0.33	1,225	965,400	587	19,000,000	2.54	null	2.27	2.16	2.54	null	null	null	2026-04-07T00:02:54.551712+00:00	1,083.5	0.2	0	6,086.63	70.2	21.8001	0.59	0.6	85.3	0.6	0.3637	null	0.3314	0.3314	0.3314	0.4135	0.5404	0.6117	66.6	66.6	null	null	null	66.67	33.33	0	66.67	33.33	0	66.67	33.33	0	stable	stable	null	0	0	0	3	3	3	100	300	-100	43.6	27.4	96	83	70	46	75	277	101	5,796	19,738	8,775	289,123	867,827	438,796	309,691	75	711,323	72	652,302	536,038	101	470,630	529,983	101	540,296	186	285	610	16,390	34,846	733,669	1,458,104	733,669	0.2612	0.0149	0.4251	-0.0149	-0.0937	0.0798	0.0292	0.1579	-0.0292	0.1735	0.2555	0.0211	0.2594	-0.0211	0.072	100	71	100	711,323	685,574	652,302	0.0467	0.0776	0.1261	0.1802	0.4135	31.5	0.15	226	7.7	0.4608	12.1	-0.12	136	-7.1	-0.0971	536,038	685,389	470,630	0.2881	0.0886	0.3789	0.0595	0.5404	43.9	0.29	706	4.7	0.5753	-0.3	-0.26	-344	-4.1	-0.2116	529,983	592,955	540,296	0.2903	Emerging	0.2029	0.2806	0.1911	0.6117	Below Average	46.4	0.46	723	7.4	Below Average	0.6521	-2.8	-0.43	-361	-6.8	-0.2884	72	101	101	625	26	competitive	0.022	22.6	84.5	15.5	3,304	1,020	competitive	0.0051	1.27	25	72	3	7,402	5,003	competitive	0.005	0.32	13	80	7	0.0367	0.3495	-0.0367	-0.0181	100	101	73	219	93	0.7636	0.262	0.7061	0.3131	0.2907	44	0.21	529	3.8	0.6612	-0.4	-0.18	-167	-3.2	-0.2975	competitive	0.0068	5.2	23	76	1	0.5958	0.59	4.94	0.2632	0.6527	-0.2632	-0.3213	100	101	3,625	6,510	13,760	0.7941	0.6287	0.2265	0.6463	0.2236	50.9	0.4	2,562	5	0.8206	-7.3	-0.37	-2,200	-4.4	-0.4569	competitive	0.0014	0.0036	1.47	0.07	0.5742	0.059	0.2307	-0.059	0.1007	791,801	41.1	0.94	531	20.4	0.4595	2.5	-0.91	-169	-0.0958	0.5736	0.1407	0.6079	0.1681	0.348	335,187	0.454	-19.8	666,313	309,958	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	16.4	-0.44	129	-0.1192	0.8277	0.1573	0.7453	0.2772	0.3146	47	61.79	16.2	0.4719	268	11.22	891	4,633	0.5936	5,935.86	0.14	70,299	256	0.0364	364.49	4.85	138.89	0.26	99.01	0.25	99.01	0.46	99.01	0.02	99.01	-34.9	-3.72	1	-65.6	-34.4	null	null	null	null	null	-0.11	78,383	-0.092	0.08	711,322	0.047	-0.18	178,094	-0.228	0.26	536,031	0.288	-0.14	106,053	-0.132	0.26	529,966	0.29	-0.01	31	-0.1	0.6	73	0.764	0.01	474	-0.025	0.57	3,625	0.794	0.3637	null	null	362	0.03	1	0.492	0.552	decelerating	0.03	0.23	1	1	4	27	0.507	0.515	0.517	0.492	0.552	253,363	266,224	265,236	12	337	decelerating	-0.04	null	77.84
2BNRH2ZQ	Mr Grill Food Truck	Food and Drink	Restaurants	Restaurant	Restaurant	183 Haverhill St, Lawrence, MA 01840	183 Haverhill St	Lawrence	Massachusetts	null	null	1,840	US	true	42.710882	-71.160543	America/New_York	(929) 68-***	3	OPERATIONAL	true	true	null	true	Lawrence	Massachusetts	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	0	6	{"1": 1, "2": 0, "3": 0, "4": 0, "5": 5}	Curbside pickup, No-contact delivery, Delivery, Takeout, Dine-in	null	null	null	Comfort food, Quick bite	Dinner	null	Casual	Groups	null	null	Good for kids	false	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-06T19:34:27.304983+00:00	0	0.2	8.9	5,892.22	493.4	21.8001	0.59	0	28.2	0	0.6106	null	null	null	0.3511	0.5083	0.5206	0.5929	null	67.6	null	null	null	null	null	null	null	null	null	33.33	0	66.67	stable	stable	null	null	null	null	0	0	3	null	-100	null	25.4	52.4	0	17	72.3	44	240	487	484	14,607	30,003	29,659	620,766	1,256,598	1,230,684	669,100	240	700,178	88	656,712	527,530	101	460,373	519,488	101	548,707	240	285	610	16,390	34,846	733,669	1,458,104	733,669	0.2787	0.01	0.4057	-0.01	-0.4057	0.096	0.0128	0.1326	-0.0128	-0.1326	0.2571	0.031	0.2946	-0.031	-0.2946	100	87	100	700,178	653,793	656,712	0.0612	0.1183	0.1202	0.2628	0.5083	32.4	0.22	220	9.6	0.4884	-7	-0.22	-214	-9.6	0.1222	527,530	703,449	460,373	0.299	0.066	0.3924	0.0382	0.5206	44.1	0.26	723	4.1	0.5694	-18.7	-0.26	-717	-4.1	0.0412	519,488	553,557	548,707	0.3041	Emerging	0.2542	0.2694	0.2598	0.5929	Below Average	46.7	0.52	700	8.6	Below Average	0.6469	-21.3	-0.52	-694	-8.6	-0.0363	88	101	101	605	92	competitive	0.0003	27.69	80.5	19.5	3,291	1,076	competitive	0.0001	1.27	24	73	3	7,779	5,016	competitive	0.0001	0.32	14	77	9	0.0367	0.3524	-0.0367	-0.3524	100	101	266	254	287	0.1502	0.115	0.0799	0.1374	0.5112	44	0.21	525	3.8	0.6586	-18.6	-0.21	-519	-3.8	-0.048	competitive	0.0001	5.2	22	77	1	0.1185	0.59	4.94	0.2632	0.6479	-0.2632	-0.6479	100	101	14,278	6,718	17,698	0.1957	0.5921	0.0029	0.5891	0.4322	50.7	0.4	2,572	5	0.821	-25.3	-0.4	-2,566	-5	-0.2104	competitive	0	0.0036	1.47	0.07	0.2568	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-15.7	-0.94	-525	0.1511	0.1312	0	0.159	0	0.6067	685,901	0.1002	-20.4	695,148	660,600	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	-23.1	null	-228	0.126	0.1461	0.7041	0.1573	0	0.5356	229	61.79	-1.79	0.3446	268	11.22	891	4,633	0.5892	5,892.22	0.14	70,299	256	0.0366	365.92	0	113.64	0	99.01	0	99.01	0	99.01	0	99.01	-25.7	-4.2	1	-80	32.9	null	null	null	null	null	-0.1	92,058	-0.111	0.1	700,150	0.061	-0.19	181,834	-0.234	0.26	527,458	0.299	-0.11	87,228	-0.108	0.28	519,372	0.304	-0.09	9	-0.019	0.12	266	0.15	0.08	-1,243	0.075	0.26	14,278	0.196	0.6106	null	null	6	0.03	1	0.588	0.532	accelerating	0.03	0.23	1	1	1	4	0.507	0.515	0.517	0.588	0.532	253,363	266,224	265,236	27	644	accelerating	0.03	null	60
QSEUEWWG	Mac Mac Mac	Food and Drink	Restaurants	American restaurant	American restaurant	144 S Union St, Lawrence, MA 01843	144 S Union St	Lawrence	Massachusetts	null	null	1,843	US	true	42.697901	-71.153191	America/New_York	null	0	CLOSED_TEMPORARILY	false	false	null	true	Lawrence	Massachusetts	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	0	3	{"1": 3, "2": 0, "3": 0, "4": 0, "5": 0}	Delivery, Dine-in	Fast service	Solo dining	Wheelchair accessible parking lot	Comfort food, Quick bite	Dinner	null	Casual	null	null	Credit cards, Debit cards	null	false	false	purchase_dataset@	false	false	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-06T19:31:27.266077+00:00	0	0	9.4	5,892.22	493.7	21.8001	0.59	0	20.1	0	-1	null	null	null	-1	0.3704	0.6782	0.4291	null	0	null	null	null	null	null	null	null	null	null	0	100	0	stable	stable	null	null	null	null	0	0	3	null	-100	null	16.3	19.5	0	17	50	44	245	503	501	14,902	30,865	30,703	638,275	1,291,254	1,277,455	688,160	245	695,839	49	677,899	527,530	101	500,963	581,452	99	519,971	243	285	610	16,390	34,846	733,669	1,458,104	733,669	0.2373	0.0158	0.3462	-0.0158	-0.3462	0.084	0.0174	0.168	-0.0174	-0.168	0.2328	0.0299	0.3158	-0.0299	-0.3158	98	48	100	695,839	668,754	677,899	0.0669	0.0988	0.0921	0.2672	0.3704	32.7	0.19	188	9.7	0.4479	-16.4	-0.19	-185	-9.7	-1.4479	527,530	726,281	500,963	0.299	0.0384	0.3389	0.0211	0.6782	44.1	0.21	657	3.4	0.618	-27.8	-0.21	-654	-3.4	-1.618	581,452	605,221	519,971	0.2228	Emerging	0.1861	0.3077	0.1595	0.4291	Below Average	44.6	0.44	778	6.9	Below Average	0.5962	-28.3	-0.44	-775	-6.9	-1.5962	49	101	99	649	0	competitive	0.0003	15.28	72.9	27.1	3,054	1,001	competitive	0	1.27	23	76	1	7,261	5,002	competitive	0	0.31	27.6	64.3	8.2	0.0367	0.3524	-0.0367	-0.3524	100	101	312	254	291	0.0064	0.115	0.0735	0.1374	0	44	0.21	525	3.8	0.6586	-27.7	-0.21	-522	-3.8	-1.6586	competitive	0.0001	5.2	22	77	1	0.0591	0.59	4.94	0.2632	0.6527	-0.2632	-0.6527	100	101	17,203	6,718	17,068	0.0325	0.5921	0.0376	0.5891	0.0001	50.9	0.4	2,562	5	0.8206	-34.6	-0.4	-2,559	-5	-1.8206	competitive	0	0.0036	1.47	0.07	0.2019	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-24.8	-0.94	-528	-1.4595	0.0055	0	0.1302	0	0	787,144	0.0413	-20.4	695,148	679,483	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	-32	null	-230	-1.4846	0.015	0.7041	0.1423	0	0	264	61.79	-28.46	0.2322	268	11.22	891	4,633	0.5892	5,892.22	0.14	70,299	256	0.0364	364.49	0	204.08	0	99.01	0	101.01	0	99.01	0	99.01	-6	-1	0	0	0	null	null	null	null	null	0	8,652	0	0.08	695,838	0.067	-0.26	227,172	-0.293	0.23	527,524	0.299	-0.07	72,241	-0.087	0.24	581,438	0.223	0.01	7	-0.007	0.06	312	0.006	0.17	-398	0.028	0.2	17,203	0.033	-1	null	null	3	0	0	0	0	stable	0	0	0	0	0	3	null	null	null	0	0	null	null	null	8	377	stable	null	null	33.33
9NMSBBBZ	Fabiano's Pizza, Seafood & Grill	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant, Grill, Italian restaurant, Seafood restaurant	133 Main St, North Andover, MA 01845	133 Main St	Lawrence	Massachusetts	null	null	1,845	US	true	42.702392	-71.130717	America/New_York	(978) 20-***	1	CLOSED_TEMPORARILY	false	true	null	true	Lawrence	Massachusetts	US	https	https://fabianospizzana.com	fabianospizzana.com	fabianospizzana.com	com	null	null	null	null	null	null	0	0	0	null	true	false	2.62	120	{"1": 17, "2": 5, "3": 7, "4": 10, "5": 80}	No-contact delivery, Delivery, Takeout, Dine-in	null	null	Wheelchair accessible entrance	Coffee, Comfort food, Small plates	Lunch, Dinner, Dessert	null	null	null	null	Debit cards, NFC mobile payments	Good for kids	false	true	purchase_dataset@	true	true	2	2022-06-16	2023-05-20	1,391	1,053	12	1,391	1,391	1,053	1,053	https://www.instagram.com/fabianos_pizza_seafood_grill	fabianos_pizza_seafood_grill	https://www.facebook.com/fabianospizzaseafoodandgrill	fabianospizzaseafoodandgrill	null	null	null	null	null	null	null	null	null	null	null	null	null	null	210	11.63	null	null	null	null	96	null	null	null	null	null	null	null	null	https://fabianospizzana.com/order	null	null	2026-04-06T18:07:41.534321+00:00	0.24	null	0.9	6,577.49	245.1	21.8001	0.59	52.4	69.4	48.3	0.3478	null	null	null	null	0.6958	0.558	0.5269	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	null	null	53.6	19.5	68	67	50	100	152	258	230	10,583	18,197	17,454	450,151	785,138	751,327	482,584	152	590,468	20	620,336	544,189	101	512,137	552,138	101	567,843	5	285	610	16,390	34,846	733,669	1,458,104	733,669	0.2257	0.0297	0.3946	-0.0297	-0.3946	0.14	0.1049	0.2218	-0.1049	-0.2218	0.2302	0.02	0.2933	-0.02	-0.2933	100	19	100	590,468	724,558	620,336	0.205	0.0246	0.1688	0.2323	0.6958	37	0.06	264	8.9	0.5467	16.6	2.56	-144	39.4	-0.1989	544,189	697,690	512,137	0.2776	0.0729	0.3241	0.0524	0.558	43.7	0.27	639	4.5	0.5807	9.9	2.35	-519	43.8	-0.2329	552,138	624,936	567,843	0.2615	Emerging	0.1597	0.2439	0.1847	0.5269	Below Average	45.7	0.41	648	7.3	Below Average	0.6275	7.9	2.21	-528	41	-0.2797	20	101	101	403	20	competitive	0.0234	6.05	63.2	36.8	3,094	1,023	competitive	0.0019	1.27	27	69	4	7,432	5,055	competitive	0.0018	0.32	17	77	6	0.0367	0.3524	-0.0367	-0.3524	100	101	9	38	192	0.9744	0.8818	0.3898	0.8786	0.2843	44	0.21	525	3.8	0.6586	9.6	2.41	-405	44.5	-0.3108	competitive	0.0023	5.2	22	77	1	0.7712	0.59	4.94	0.2632	0.6605	-0.2632	-0.6605	100	101	927	1,826	15,400	0.9474	0.897	0.1344	0.931	0.2141	50.8	0.4	2,566	5	0.8215	2.8	2.22	-2,446	43.3	-0.4737	competitive	0.0005	0.0036	1.47	0.07	0.6884	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	12.5	1.68	-411	-0.1117	0.8314	0.7385	0.3881	0.7661	0.3346	132,222	0.6705	27.9	205,996	483,576	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	6.2	-0.14	-113	-0.1368	0.5206	0.2247	0.4719	0.8764	0.2996	128	61.79	-61.79	0	268	11.22	891	4,633	0.5892	5,892.22	0.14	70,299	256	0.0365	364.98	5.46	500	0.04	99.01	0.03	99.01	0.05	99.01	0	99.01	-7.5	-1.48	0	-27.5	0	null	null	null	null	null	-0.13	132,796	-0.168	0.14	590,462	0.205	-0.21	194,503	-0.25	0.23	544,163	0.278	-0.12	96,409	-0.119	0.23	552,074	0.262	0.41	-185	0.601	0.77	9	0.974	0.39	-11,799	0.669	0.69	927	0.947	0.3478	null	null	120	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
H3UPLMX2	Sal's Pizza \| Tewksbury, MA	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	1700 Shawsheen St, Tewksbury, MA 01876	1700 Shawsheen St	Lawrence	Massachusetts	null	null	1,876	US	true	42.621591	-71.184675	America/New_York	(978) 62-***	2	null	true	true	null	true	Lawrence	Massachusetts	US	https	https://sals.com/sals-pizza-tewksbury	sals.com/sals-pizza-tewksbury	sals.com	com	8,484	2003-01-14	2031-01-14	GoDaddy.com, LLC	"purchase_dataset@nambawansuper.com.pg, purchase_dataset@salsclinic.com, purchase_dataset@lupolico.c(...TRUNCATED)	null	3	1	2	Branch of a pizzeria chain offering 19-inch, 3-pound pies & specialty toppings, plus calzones.	true	true	1.4	31	{"1": 9, "2": 2, "3": 2, "4": 3, "5": 15}	Delivery, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Comfort food, Quick bite, Vegetarian options	Lunch, Dinner, Dessert	Restroom	Casual	Groups, Tourists	null	Credit cards, Debit cards	Good for kids	false	true	purchase_dataset@	true	true	6	2025-10-06	2026-02-16	183	50	24	183	183	50	50	https://www.instagram.com/salspizzaofficial	salspizzaofficial	https://www.facebook.com/salspizzaofficial	salspizzaofficial	https://twitter.com/brooklyn_sal	brooklyn_sal	https://www.tiktok.com/@hayatimzeesals	hayatimzeesals	https://www.linkedin.com/company/salspizzaofficial	salspizzaofficial	null	null	null	null	null	null	null	null	3,159	9.23	null	0.8	9.17	9.23	805	94	0	0	null	null	null	null	null	null	null	null	2026-04-06T18:06:32.272320+00:00	3.55	0.2	0.2	6,436.07	81.8	21.8001	0.59	28	50.2	22.6	0.2044	null	null	-1	0.4227	0.9612	0.5398	0.5939	null	71.1	null	null	null	null	null	null	0	100	0	75	25	0	stable	stable	null	null	null	null	0	1	4	-100	-100	null	60.4	52.4	100	100	90	100	196	294	357	13,281	20,911	24,754	554,068	916,800	1,032,150	596,320	196	173,542	4	295,404	531,927	42	581,456	526,443	101	552,715	15	285	610	16,390	34,846	733,669	1,458,104	733,669	0.2279	0.0851	0.4041	-0.0851	-0.4041	0.5029	0.3333	0.4896	-0.3333	-0.4896	0.3162	0.0362	0.2993	-0.0362	-0.2993	100	3	41	173,542	701,291	295,404	0.7627	0.0559	0.6036	0.0353	0.9612	45.7	0.11	592	2.1	0.7116	14.7	1.29	-561	20.5	-0.5072	531,927	427,845	581,456	0.2936	0.4297	0.2328	0.3596	0.5398	44	0.7	530	10.5	0.5751	16.4	0.7	-499	12.1	-0.3707	526,443	668,832	552,715	0.2948	Average	0.1025	0.2641	0.0939	0.5939	Below Average	46.5	0.34	689	5.6	Below Average	0.6472	13.9	1.06	-658	17	-0.4428	4	42	101	120	106	concentrated	0.0172	0.95	33.3	66.7	3,902	2,090	competitive	0.0014	0.52	36.6	51.2	12.2	7,993	5,134	competitive	0.0004	0.32	10	87	3	0.0367	0.3524	-0.0367	-0.3524	100	101	3	48	272	0.9936	0.8498	0.1342	0.8435	0.2236	44	0.21	525	3.8	0.6586	16.4	1.19	-494	18.8	-0.4542	competitive	0.0006	5.2	22	77	1	0.6927	0.59	4.94	0.2632	0.6527	-0.2632	-0.6527	100	101	422	2,786	16,379	0.9758	0.8431	0.0788	0.8414	0.1506	50.9	0.4	2,562	5	0.8206	9.5	1	-2,531	17.6	-0.6162	competitive	0.0001	0.0036	1.47	0.07	0.6669	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	19.3	0.46	-500	-0.2551	0.9164	0.617	0.2476	0.6262	0.236	65,432	0.6259	2.2	302,873	593,914	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	16	-0.61	-203	-0.2554	0.8165	0.1348	0.3146	0.839	0.2247	50	61.79	4.88	0.382	268	11.22	891	4,633	0.5892	5,892.22	0.14	70,299	256	0.0364	364.49	2.95	2,500	0.02	238.1	0	99.01	0	99.01	0	99.01	-5	-2.1	1	-37.4	42.9	null	null	null	null	null	-0.39	148,478	-0.203	0.5	173,540	0.763	0	65,556	-0.079	0.32	531,918	0.294	-0.16	111,182	-0.139	0.23	526,398	0.295	0.39	-163	0.533	0.69	3	0.994	0.44	-10,590	0.602	0.67	422	0.976	0.2044	null	null	30	0.03	1	0.492	0.552	accelerating	0.03	0.23	1	1	1	8	0.507	0.515	0.517	0.492	0.552	253,363	266,224	265,236	12	337	accelerating	0.03	null	66.67
7B66QSYR	Garlic Breath Pizza	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	733 Turnpike St #7, North Andover, MA 01845	733 Turnpike St #7	Lawrence	Massachusetts	null	null	1,845	US	true	42.661038	-71.110947	America/New_York	(978) 25-***	2	null	true	true	null	true	Lawrence	Massachusetts	US	https	https://garlicbreathpizza.com	garlicbreathpizza.com	garlicbreathpizza.com	com	1,341	2022-08-05	2026-08-05	NAMECHEAP INC	null	null	0	0	0	null	true	false	3.14	290	{"1": 13, "2": 6, "3": 8, "4": 25, "5": 243}	Onsite services, Takeout, Dine-in	Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual	null	null	Credit cards, Debit cards	Good for kids	true	true	purchase_dataset@	true	true	3	2024-07-12	2025-06-24	634	287	12	634	634	287	287	https://www.instagram.com/garlicbreathpizza	garlicbreathpizza	null	null	https://twitter.com/garlicbreathpiz	garlicbreathpiz	null	null	https://www.linkedin.com/in/cia-moglia-a084bb45	cia-moglia-a084bb45	null	null	null	null	null	null	null	null	8,355	4.23	null	null	null	0.68	36	null	null	null	null	null	null	null	null	null	null	null	2026-04-06T17:08:36.884720+00:00	9.38	0.2	0	6,195.36	161.9	21.8001	0.59	62.8	82.1	61.7	0.7978	null	0.7865	0.6555	0.663	0.8545	0.3875	0.4374	89.3	83.2	null	null	null	90	10	0	84	16	0	83.93	16.07	0	stable	improving	null	6.1	0.1235	7.3	10	25	56	-20	-28.6	-100	68.4	27.4	76	83	89.1	100	93	171	128	6,825	10,901	10,475	324,860	439,284	501,693	347,781	93	481,447	4	585,645	664,963	94	692,461	589,089	101	551,246	2	285	610	16,390	34,846	733,669	1,458,104	733,669	0.1934	0.0339	0.3547	-0.0339	0.4318	0.2191	0	0.6314	0	0.1551	0.094	0.0261	0.2395	-0.0261	0.547	100	3	93	481,447	705,521	585,645	0.349	0.0498	0.2151	0.0299	0.8545	39.5	0.1	301	1.8	0.6163	28.9	3.04	-11	59.9	0.1815	664,963	703,449	692,461	0.1204	0.066	0.0868	0.2781	0.3875	39.9	0.26	332	8.8	0.5318	28.5	2.88	-42	52.9	0.266	589,089	674,530	551,246	0.2126	Below Average	0.0952	0.266	0.0725	0.4374	Emerging	44.3	0.33	693	5.1	Emerging	0.5989	24.1	2.81	-403	56.6	0.1989	4	94	101	467	33	concentrated	0.2431	0.95	66.7	33.3	3,347	1,920	competitive	0.0093	1.18	43	55.9	1.1	7,770	5,112	competitive	0.0042	0.32	24	72	4	0.0367	0.345	-0.0367	0.4415	100	101	1	35	121	1	0.8914	0.6166	0.9968	0.8594	43.7	0.18	530	3.2	0.6569	24.7	2.96	-240	58.5	0.1409	competitive	0.0054	5.2	23	77	0	0.8524	0.59	4.9	0.2632	0.6514	-0.2632	0.1351	100	101	77	1,351	14,144	0.9956	0.924	0.205	0.9845	0.7525	50.5	0.36	2,570	4.5	0.8211	17.9	2.78	-2,280	57.2	-0.0233	competitive	0.0011	0.0036	1.47	0.07	0.7369	0.059	0.2307	-0.059	0.5558	791,801	41.1	0.94	531	20.4	0.4595	27.3	2.2	-241	0.3383	0.9789	0.8058	0.5571	0.9396	0.8723	16,310	0.8004	41.3	152,869	350,104	44.5	8.8	46.7	791,802	268	48.6	4.11	233	9.5	0.4846	25	0.43	60	0.3196	0.9888	0.4195	0.6742	0.9963	0.8989	4	61.79	30.08	0.8464	268	11.22	891	4,633	0.5944	5,943.93	0.14	70,299	256	0.0366	365.55	590.9	2,500	0.86	106.38	0.17	99.01	0.3	99.01	0.01	99.01	-14.6	-1.5	-1	-29.4	-43.5	null	null	null	null	null	-0.44	388,768	-0.523	0.22	481,446	0.349	-0.04	75,340	-0.088	0.09	664,954	0.12	-0.11	98,691	-0.123	0.19	589,056	0.213	0.04	-10	0.033	0.85	1	1	-0.05	-749	0.045	0.74	77	0.996	0.7978	null	null	293	0.03	1	0.492	0.552	decelerating	0.03	0.23	1	1	15	57	0.507	0.515	0.517	0.492	0.552	253,363	266,224	265,236	12	337	decelerating	-0.17	null	88.62

End of preview. Expand in Data Studio

All Restaurants in Lawrence, Massachusetts, US

Free sample dataset from BeamStation

This dataset provides a complete export of every restaurant operating in Lawrence, Massachusetts, United States. It contains 282 records, each representing a distinct establishment with all available profile columns filled in. The information is refreshed on a weekly basis, ensuring that users have access to the most current listings, contact details, cuisine types, and any other attributes provided by the source. Researchers, urban planners, food‑industry analysts, and developers building local‑guide applications will find this collection useful for mapping dining options, analyzing market saturation, or creating recommendation engines. Because the file includes every column offered by the source, there is no need to merge additional tables; all relevant signals are already present. Access the dataset directly via the provided URL to download the latest version and integrate it into your workflow or analysis pipeline.

Dataset Details

Field	Value
Full dataset	282 records
Sample size	28 records
Location	Lawrence
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (498 total)

Column List

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/all-restaurants-in-lawrence-massachusetts-us-109835")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 282 records and unmasked contact data is available at:

All Restaurants in Lawrence, Massachusetts, US on BeamStation

License

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

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