Datasets:

beamstation
/

all-restaurants-in-melbourne-florida-us-211295

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 float64	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age 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_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
ZMY4Q99D	Salsas Cocina Melbourne	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	5559 N Wickham Rd, Melbourne, FL 32940	5559 N Wickham Rd	Melbourne	Florida	Crossroads Village	null	32,940	US	true	28.198656	-80.67115	America/New_York	(321) 62-***	2	null	true	Melbourne	Florida	US	https	https://oo.viguest.com/?sitename=salsasmelbourne	oo.viguest.com/?sitename=salsasmelbourne	oo.viguest.com	com	4,661	2013-06-26	2026-06-26	Amazon Registrar, Inc.	purchase_dataset@gmail.com	null	1	1	0	null	4.28	836	{"1": 60, "2": 44, "3": 65, "4": 107, "5": 562}	Outdoor seating, Delivery, Onsite services, 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 drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, 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	1	null	null	https://www.facebook.com/salsascocinatitusville	salsascocinatitusville	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://oo.viguest.com/?sitename=salsasmelbourne	null	null	2026-03-30T18:06:48.049402+00:00	0	1.48	4.2	10,748.84	940.3	154.4343	0.37	85.6	97.4	80	0.6272	1	0.6202	0.6465	0.8054	0.5658	0.3958	0.591	81	90.3	100	0	0	80.77	15.38	3.85	81.97	14.75	3.28	89.71	8.33	1.96	improving	declining	0.3798	-9.3	-0.1852	-10.3	3	26	61	204	69.9	55.1	8	67	82.3	58	117	406	146	12,970	49,249	17,618	131,037	765,068	183,088	141,478	117	325,859	10	446,324	513,054	80	589,281	320,563	101	372,882	146	382	701	48,299	85,635	724,238	1,424,284	724,238	0.5305	0.3341	0.6296	0.1659	0.0519	0.3985	0.2083	0.4899	0.2917	0.1916	0.2614	0.1706	0.4493	0.3294	0.2322	100	9	79	325,859	583,679	446,324	0.5504	0.2014	0.393	0.3564	0.5658	65.6	3.71	370	74.9	0.5033	5.3	0.57	466	5.1	0.1239	513,054	554,986	589,281	0.3099	0.2468	0.2114	0.4189	0.3958	69.2	4.09	439	79.7	0.5466	1.7	0.19	397	0.3	0.0806	320,563	335,515	372,882	0.5591	Below Average	0.5266	0.4962	0.5021	0.591	Below Average	77.6	4.36	871	83.5	Average	0.6515	-6.7	-0.08	-35	-3.5	-0.0243	10	80	101	603	43	moderate	0.2005	2.86	11.1	11.1	66.7	11.1	3,179	1,007	competitive	0.0235	1.01	6.3	8.9	70.9	13.9	7,829	5,242	competitive	0.0095	0.32	0	68	32	0.3507	0.6898	0.1493	-0.0083	100	101	239	270	141	0.4518	0.3716	0.6789	0.3761	0.5138	80	4.43	910	85.4	0.6701	-9.1	-0.15	-74	-5.4	-0.0429	competitive	0.0091	0.77	45	55	0.4959	0.37	9.45	0.0663	0.9034	0.4337	-0.2219	100	101	22,410	32,619	16,020	0.5968	0.4118	0.7137	0.4352	0.5972	85.8	4.86	2,648	96.8	0.845	-14.9	-0.58	-1,812	-16.8	-0.2178	competitive	0.0031	0.0005	1	0.04	0.5764	0.2094	0.3682	0.2906	0.3133	828,388	62.9	3.88	394	76.6	0.4737	8	0.4	442	0.1535	0.6601	0.4441	0.8186	0.4711	0.6171	278,943	0.6428	3.4	454,381	150,018	24.3	58.7	7.7	9.2	828,389	313	69	4.37	513	82.2	0.5809	1.9	-0.09	323	0.0463	0.4455	0.3077	0.7051	0.3269	0.4647	172	68.56	16.72	0.5673	313	11.81	847	654	1.0749	10,748.84	0.05	215,382	116	0.0123	122.93	402.11	1,000	5.53	125	0.9	99.01	0.83	99.01	0.1	99.01	-4.2	0	5	0	-26.9	null	null	null	null	null	0.06	-120,447	0.163	0.4	325,859	0.55	0.03	-37,074	0.05	0.26	513,054	0.31	0.02	-43,681	0.058	0.53	320,563	0.559	-0.07	-342,320	-0.124	0.5	239	0.452	-0.33	22,409	-0.337	0.58	22,410	0.597	0.6272	80	20	836	0.47	14	0.889	0.836	stable	0.47	3.27	14	14	43	219	0.937	0.94	0.939	0.889	0.836	52,879	54,947	54,954	2	326	stable	-0.16	null	85.28
TJ4D5MAK	Fiesta Azteca of Suntree	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Bar	Imperial Plaza, 2022, 6765 N Wickham Rd STE 100, Melbourne, FL 32940	Imperial Plaza, 2022, 6765 N Wickham Rd STE 100	Melbourne	Florida	Corplex	null	32,940	US	true	28.2214	-80.675833	America/New_York	(321) 25-***	2	null	true	Melbourne	Florida	US	https	https://facebook.com/fiestaaztecaofsuntree	facebook.com/fiestaaztecaofsuntree	facebook.com	com	10,594	1997-03-29	2034-03-30	RegistrarSafe, LLC	null	null	0	0	0	Casual cantina offering a wide range of Mexican fare & spirits in a colorful Latin-themed setting.	4.27	1,067	{"1": 89, "2": 58, "3": 168, "4": 362, "5": 1074}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Live music, Serves local specialty, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	1	null	null	https://www.facebook.com/fiestaaztecaofsuntree/	fiestaaztecaofsuntree	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://places.singleplatform.com/fiesta-azteca-of-suntree/menu	null	null	2026-03-29T17:30:04.423193+00:00	0	0.53	4	10,748.84	940.1	154.4343	0.37	85.4	100	80.5	0.6484	null	0.7862	0.6544	0.6681	0.7167	0.2314	0.4962	89.3	83.4	null	null	null	90	10	0	80	17.14	2.86	80.72	15.66	3.61	stable	improving	null	5.9	0.1181	7.1	0	10	35	83	68.5	38.5	8	67	87.6	58	47	411	58	7,654	49,690	9,855	62,065	773,424	80,987	67,401	47	103,617	22	426,881	577,624	61	528,772	421,788	101	486,999	151	382	701	48,299	85,635	724,238	1,424,284	724,238	0.4244	0.3451	0.5511	-0.3451	0.2351	0.7071	0.119	0.3763	-0.119	0.4099	0.2037	0.1434	0.4321	-0.1434	0.3541	100	21	60	103,617	143,867	426,881	0.8561	0.7962	0.4192	0.7386	0.7167	70.7	4.3	383	81.8	0.5515	-1.5	-0.03	684	-1.3	0.0969	577,624	680,239	528,772	0.2243	0.0874	0.2924	0.1583	0.2314	67.1	3.84	510	75.4	0.4965	2.1	0.43	557	5.1	0.1519	421,788	351,065	486,999	0.4246	Strong	0.5061	0.3425	0.4875	0.4962	Below Average	75.8	4.35	708	83.3	Average	0.6277	-6.6	-0.08	359	-2.8	0.0207	22	61	101	701	484	competitive	0.1172	6.68	4.8	4.8	81	9.5	3,180	1,146	competitive	0.0337	0.76	10	10	65	15	7,299	5,031	competitive	0.0149	0.32	2	73	25	0.3507	0.6898	-0.3507	0.0964	100	101	263	276	64	0.3945	0.367	0.8509	0.3876	0.5413	80	4.43	910	85.4	0.6701	-10.8	-0.16	157	-4.9	-0.0217	competitive	0.0116	0.77	45	55	0.5232	0.37	9.45	0.0663	0.9063	-0.0663	-0.1201	100	101	25,778	32,962	9,760	0.5367	0.4047	0.8249	0.4469	0.6255	85.9	4.86	2,623	96.9	0.846	-16.7	-0.59	-1,556	-16.4	-0.1976	competitive	0.0041	0.0005	1	0.04	0.5836	0.2094	0.3682	-0.2094	0.418	828,388	62.9	3.88	394	76.6	0.4737	6.3	0.39	673	0.1747	0.6051	0.4364	0.9136	0.4869	0.6469	324,363	0.6471	3.9	460,497	70,791	24.3	58.7	7.7	9.2	828,389	313	69	4.37	513	82.2	0.5809	0.2	-0.1	554	0.0675	0.3974	0.3013	0.8814	0.3333	0.5	188	68.56	15.2	0.516	313	11.81	847	654	1.0749	10,748.84	0.05	215,382	116	0.0122	121.78	137.27	454.55	11.37	163.93	2.21	99.01	1.34	99.01	0.16	99.01	-0.9	0	3	0	-54.4	null	null	null	null	null	0.14	-120,410	0.166	0.71	103,616	0.856	0.04	-32,322	0.044	0.2	577,623	0.224	0.02	-42,695	0.056	0.42	421,784	0.425	-0.04	-342,296	-0.182	0.52	263	0.395	-0.37	25,777	-0.397	0.58	25,778	0.537	0.6484	null	null	1,067	0.17	5	0.333	0.506	decelerating	0.17	1.17	5	5	28	98	0.719	0.729	0.729	0.333	0.506	213,014	221,732	221,154	12	919	decelerating	-0.13	null	83.76
E8ZX6BEW	Big Island Burrito	Food and Drink	Restaurants	Restaurant	Restaurant	814 N Miramar Ave, Indialantic, FL 32903	814 N Miramar Ave	Melbourne	Florida	Melbourne Beach	null	32,903	US	true	28.096873	-80.569133	America/New_York	(321) 73-***	2	null	true	Melbourne	Florida	US	https	https://bigislandmenu.com	bigislandmenu.com	bigislandmenu.com	com	1,932	2020-12-15	2030-12-15	Bluehost Inc.	null	null	0	0	0	Specialty burritos, salads & tacos are offered in a casual setting with indoor picnic benches.	4.4	674	{"1": 49, "2": 20, "3": 31, "4": 97, "5": 495}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Quick bite, Small plates, Vegan options, Vegetarian options, W(...TRUNCATED)	Breakfast, Lunch, Dinner, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy	College students, Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	2	https://www.instagram.com/big_island_birria_boss	big_island_birria_boss	https://www.facebook.com/bigislandburritos	bigislandburritos	null	null	null	null	null	null	null	null	null	null	null	null	null	null	9,085	0.96	null	null	null	0.8	308	null	null	null	null	null	null	null	null	null	null	null	null	https://bigislandmenu.com	null	null	2026-03-29T17:14:29.959390+00:00	10.73	0.32	0.8	10,852.03	470	154.4343	0.37	88	94.3	85.6	0.7076	1	0.2233	0.6604	0.4702	0.8603	0.6482	0.4989	61.2	73.5	100	0	0	66.67	33.33	0	83.33	11.11	5.56	69.23	19.23	11.54	improving	declining	0.7767	-12.3	-0.2469	-16.7	1	6	18	52	69.6	35.1	44	67	69.5	58	139	339	180	15,599	41,838	21,805	174,078	632,550	248,146	186,999	139	87,336	27	222,445	475,695	92	504,793	320,563	101	366,336	116	382	701	48,299	85,635	724,238	1,424,284	724,238	0.5155	0.2975	0.6249	0.7025	-0.2074	0.8319	0.2532	0.527	0.7468	-0.1095	0.4486	0.2874	0.5393	0.7126	-0.1218	100	26	91	87,336	64,628	222,445	0.8785	0.9048	0.6967	0.8313	0.8603	71.4	4.43	524	83.8	0.614	-0.1	-0.03	150	1.8	0.0936	475,695	217,819	504,793	0.3601	0.6907	0.3244	0.7902	0.6482	70.4	4.35	538	85.2	0.6128	0.9	0.05	136	0.4	0.0948	320,563	380,673	366,336	0.5591	Market Leader	0.468	0.5049	0.416	0.4989	Average	77.6	4.33	879	82.2	Average	0.6284	-6.3	0.07	-205	3.4	0.0792	27	92	101	540	19	competitive	0.0472	8.28	3.8	15.4	53.8	26.9	4,077	1,146	competitive	0.0136	1.16	3.3	19.8	51.6	25.3	7,672	5,079	competitive	0.0076	0.32	2	56	42	0.3507	0.6898	0.6493	-0.2723	100	101	229	223	164	0.4725	0.4817	0.6261	0.555	0.6422	80	4.43	910	85.4	0.6701	-8.7	-0.03	-236	0.2	0.0375	competitive	0.0074	0.77	45	55	0.5213	0.37	9.45	0.0663	0.9052	0.9337	-0.4877	100	101	21,699	27,304	17,982	0.6097	0.5042	0.6787	0.5886	0.7077	85.8	4.86	2,584	96.9	0.8462	-14.5	-0.46	-1,910	-11.3	-0.1386	competitive	0.0026	0.0005	1	0.04	0.5987	0.2094	0.3682	0.7906	0.0493	828,388	62.9	3.88	394	76.6	0.4737	8.4	0.52	280	0.2339	0.6728	0.5433	0.7599	0.6316	0.7347	268,427	0.6601	9	370,747	198,529	24.3	58.7	7.7	9.2	828,389	313	69	4.37	513	82.2	0.5809	2.3	0.03	161	0.1267	0.4712	0.4295	0.6474	0.5224	0.6122	164	68.56	20.4	0.7051	313	11.81	847	654	1.0749	10,748.84	0.05	215,382	116	0.012	119.95	22.26	370.37	1.84	108.7	0.58	99.01	0.54	99.01	0.07	99.01	-4.3	-0.01	3	-0.1	-41.1	null	null	null	null	null	0.02	-40,803	0.057	0.83	87,333	0.879	0.03	-58,927	0.08	0.45	475,685	0.36	0.05	-84,087	0.111	0.52	320,540	0.559	-0.05	-342,330	-0.104	0.52	229	0.473	-0.36	21,698	-0.324	0.6	21,699	0.61	0.7076	100	0	674	0.1	3	0.301	0.461	decelerating	0.1	0.7	3	3	15	58	0.557	0.57	0.571	0.301	0.461	331,227	345,950	344,596	48	3,869	decelerating	-0.03	null	88.96
3236CLQL	TELY'S Chinese Restaurant	Food and Drink	Restaurants	Chinese restaurant	Chinese restaurant, Asian restaurant, Seafood restaurant	6450 N Wickham Rd #111, Melbourne, FL 32940	6450 N Wickham Rd #111	Melbourne	Florida	null	null	32,940	US	true	28.217036	-80.675735	America/New_York	(321) 42-***	2	null	true	Melbourne	Florida	US	http	http://telychineserestaurant.com	telychineserestaurant.com	telychineserestaurant.com	com	3,476	2016-09-23	2026-09-23	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	Classic Chinese dishes are doled out with beer & wine in a cheerful, modern dining room.	4.54	923	{"1": 45, "2": 22, "3": 36, "4": 109, "5": 719}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great wine list, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Healthy options, Small plates, Vegan options, Vegetarian optio(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom, Wi-Fi	Casual, Cozy	Family-friendly, Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/telyschineserestaurant	telyschineserestaurant	https://www.facebook.com/p/telys-chinese-restaurant-100043017501382	telys-chinese-restaurant-100043017501382	null	null	https://www.tiktok.com/@halmiskitchen	halmiskitchen	https://www.linkedin.com/in/tely-tse-b47354266	tely-tse-b47354266	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	1,042	175	7,662	5.17	null	5.93	5.17	5.17	https://telychineserestaurant.com	null	null	2026-03-28T20:15:52.212720+00:00	1.23	1.16	0.3	11,227.42	234.4	154.4343	0.37	90.8	98.9	88.8	0.7727	1	0.9072	0.8911	0.855	0.6985	0.2113	0.5426	95.4	92.8	100	0	0	95	5	0	95	5	0	92.94	7.06	0	improving	improving	0.0928	2.6	0.0522	2.8	2	20	40	85	83.2	53.5	84	83	94.4	58	108	256	129	11,715	31,853	15,732	112,409	465,877	156,134	121,768	108	103,617	16	279,450	577,624	78	566,362	416,848	101	463,472	82	382	701	48,299	85,635	724,238	1,424,284	724,238	0.4427	0.3641	0.5677	0.6359	0.3381	0.7345	0.0333	0.3522	0.9667	0.5536	0.2017	0.1474	0.4323	0.8526	0.4735	100	15	77	103,617	223,227	279,450	0.8561	0.6875	0.6192	0.5674	0.6985	70.7	4.18	482	78.6	0.5451	13.1	0.36	441	10.2	0.2276	577,624	645,771	566,362	0.2243	0.1313	0.2421	0.2166	0.2113	67.1	3.94	466	76.6	0.489	16.7	0.6	457	12.2	0.2837	416,848	335,515	463,472	0.4312	Strong	0.5266	0.3741	0.4948	0.5426	Below Average	75.9	4.36	746	83.4	Average	0.6397	7.9	0.18	177	5.4	0.133	16	78	101	377	31	competitive	0.1133	4.77	6.7	0	86.7	6.7	3,254	1,011	competitive	0.0251	0.98	7.8	13	66.2	13	7,523	5,018	competitive	0.0122	0.32	2	71	27	0.3407	0.6907	0.6593	0.2151	100	101	24	163	129	0.945	0.6193	0.7064	0.6583	0.7523	80	4.43	904	85.5	0.6707	3.8	0.11	19	3.3	0.102	competitive	0.0101	0.77	46	54	0.7757	0.37	9.45	0.0563	0.9047	0.9437	0.0011	100	101	1,916	20,522	14,057	0.9644	0.6261	0.7488	0.6945	0.7958	86	4.86	2,623	96.8	0.8509	-2.2	-0.32	-1,700	-8	-0.0782	competitive	0.0035	0.0005	1	0.04	0.7982	0.2094	0.3682	0.7906	0.5376	828,388	62.9	3.88	394	76.6	0.4737	20.9	0.66	529	0.299	0.9825	0.6669	0.8438	0.7351	0.8299	13,832	0.8462	12.2	269,316	129,207	24.3	58.7	7.7	9.2	828,389	313	69	4.37	513	82.2	0.5809	14.8	0.17	410	0.1918	0.9327	0.5833	0.7244	0.6282	0.7276	22	68.56	23.49	0.8205	313	11.81	847	654	1.0676	10,675.5	0.05	215,382	116	0.0122	121.81	128.32	625	6.29	128.21	1.49	99.01	1.02	99.01	0.12	99.01	-2.1	0.01	10	0.1	-30.9	null	null	null	null	null	0.17	-91,492	0.127	0.73	103,617	0.856	0.02	-19,469	0.027	0.2	577,624	0.224	0.03	-47,635	0.063	0.44	416,848	0.431	0.21	-348,105	0.375	0.78	24	0.945	-0.14	1,915	0.031	0.8	1,916	0.964	0.7727	100	0	923	0.37	11	0.8	0.921	stable	0.37	2.57	11	11	37	104	0.908	0.911	0.911	0.8	0.921	75,655	78,604	78,576	3	102	stable	-0.2	null	92.05
5D36NNHV	Aya Mediterranean Cuisine	Food and Drink	Restaurants	Restaurant	Restaurant, Lebanese restaurant, Mediterranean restaurant, Moroccan restaurant	936 E New Haven Ave, Melbourne, FL 32901	936 E New Haven Ave	Melbourne	Florida	Camps Of Melbourne	null	32,901	US	true	28.078486	-80.604879	America/New_York	(321) 32-***	2	null	true	Melbourne	Florida	US	http	http://ayamediterranean.com	ayamediterranean.com	ayamediterranean.com	com	1,457	2022-04-04	2026-04-04	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	null	4.72	792	{"1": 22, "2": 12, "3": 22, "4": 56, "5": 684}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great dessert	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Halal food, Hard liquor, Healthy options, Quick bit(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Trendy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	purchase_dataset@	true	true	3	https://www.instagram.com/ayamediterraneancuisine	ayamediterraneancuisine	https://www.facebook.com/ayamediterraneancuisine	ayamediterraneancuisine	null	null	https://www.tiktok.com/@amediterranean	amediterranean	null	null	null	null	null	null	null	null	null	null	522	20.22	7.28	5.45	5.1	7.34	19	null	null	null	null	13,600	34	3,400,000	13.67	null	null	null	13.67	https://ayamediterranean.com/menu	https://google.com/maps/reserve/v/dine/c/nrduie_27o8?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/nrduie_27o8?source=pa&opi=79508299	2026-03-28T17:45:32.518982+00:00	16.06	2.22	0	13,555.08	312.4	154.4343	0.37	94.4	96.6	93.1	0.8561	1	0.8097	0.7139	0.6767	0.9256	0.771	0.5193	90.5	83.8	100	0	0	90.48	9.52	0	85.45	12.73	1.82	83.22	15.38	1.4	improving	improving	0.1903	6.7	0.133	8	2	21	55	143	84.4	72.7	76	67	91.6	58	122	148	152	13,656	20,042	18,685	141,585	279,143	198,613	152,621	122	128,741	39	159,156	244,856	101	353,336	286,203	101	298,377	36	382	701	48,299	85,635	724,238	1,424,284	724,238	0.5555	0.2739	0.6161	0.7261	0.1809	0.7943	0.2895	0.5059	0.7105	0.2911	0.6513	0.3362	0.6007	0.6638	0.1963	100	38	100	128,741	163,351	159,156	0.821	0.7702	0.7829	0.8773	0.9256	69.8	4.27	579	85	0.6583	15.1	0.45	213	8.1	0.1883	244,856	170,363	353,336	0.6657	0.7568	0.5267	0.7347	0.771	76	4.39	715	84.2	0.6489	8.9	0.33	77	8.9	0.1977	286,203	394,533	298,377	0.6044	Strong	0.4495	0.5963	0.435	0.5193	Strong	78.1	4.32	961	82.5	Average	0.6338	6.8	0.4	-169	10.6	0.2128	39	101	101	289	0	competitive	0.0348	12.1	5.3	18.4	50	26.3	3,628	1,491	competitive	0.011	1.27	0	2	63	35	7,325	5,096	competitive	0.0082	0.32	0	63	37	0.3407	0.6918	0.6593	0.1052	100	101	16	85	146	0.9656	0.8005	0.6674	0.8303	0.8876	80	4.43	905	85.4	0.67	4.9	0.29	-113	7.7	0.1766	competitive	0.0087	0.77	46	54	0.8266	0.37	9.45	0.0563	0.9044	0.9437	-0.1074	100	101	1,160	13,080	15,643	0.9783	0.7606	0.7205	0.819	0.8841	86	4.86	2,585	96.8	0.8512	-1.1	-0.14	-1,793	-3.7	-0.0046	competitive	0.0031	0.0005	1	0.04	0.8356	0.2094	0.3682	0.7906	0.4288	828,388	62.9	3.88	394	76.6	0.4737	22	0.84	398	0.3729	0.9903	0.7917	0.804	0.8529	0.9137	7,562	0.8748	16.5	168,526	162,059	24.3	58.7	7.7	9.2	828,389	313	69	4.37	513	82.2	0.5809	15.9	0.35	279	0.2657	0.9583	0.7724	0.6955	0.8045	0.8654	14	68.56	24.41	0.8462	313	11.81	847	654	1.0691	10,690.97	0.05	215,382	116	0.012	120.04	12.09	256.41	1.2	99.01	0.67	99.01	0.75	99.01	0.09	99.01	-1	0	13	0	-7.6	null	null	null	null	null	0.02	-50,250	0.07	0.79	128,740	0.821	0.06	-110,602	0.146	0.65	244,854	0.666	0.02	-46,498	0.061	0.56	286,201	0.604	0.26	-348,113	0.396	0.83	16	0.966	-0.12	1,159	0.045	0.84	1,160	0.978	0.8466	100	0	792	0.7	21	0.822	0.895	accelerating	0.7	4.9	21	21	46	169	0.967	0.968	0.968	0.822	0.895	29,230	30,345	30,326	14	809	accelerating	0.17	null	92.97
6TELKH9S	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	1980 N Wickham Rd #6768, Melbourne, FL 32935	1980 N Wickham Rd #6768	Melbourne	Florida	Indian River Groves And Gardens	null	32,935	US	true	28.139121	-80.672201	America/New_York	(321) 24-***	1	null	true	Melbourne	Florida	US	https	https://mcdonalds.com/us/en-us/location/fl/melbourne/1980-wickham-rd/6768.html	mcdonalds.com/us/en-us/location/fl/melbourne/1980-wickham-rd/6768.html	mcdonalds.com	com	11,585	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dat(...TRUNCATED)	null	30	24	6	Classic, long-running fast-food chain known for its burgers & fries.	3.55	1,167	{"1": 248, "2": 107, "3": 247, "4": 305, "5": 630}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert, Seating	Wi-Fi	Casual	Family-friendly, Groups	null	Debit cards, NFC mobile payments	Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	null	null	null	null	https://www.pinterest.com/mcdonalds	mcdonalds	5,513,935	0.37	null	0.21	0.37	0.37	493	null	null	null	null	5,300,000	347	37,200,000	4.88	1.32	1.88	2.37	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-03-28T07:52:57.224959+00:00	6,509.96	0.73	0	11,200.19	190.8	154.4343	0.37	71	100	59	0.1942	0.5	0.5628	0.3198	0.2127	0.642	0.4906	0.6731	78.1	60.6	100	0	0	76.19	14.29	9.52	65.96	29.79	4.26	60.87	35.87	3.26	declining	improving	-0.0628	17.5	0.3501	28.9	1	21	47	92	70.9	40.5	92	83	76	58	17	578	17	3,570	72,483	4,437	25,033	1,194,568	31,299	26,755	17	249,124	28	253,070	472,470	101	483,367	199,629	101	355,639	222	382	701	48,299	85,635	724,238	1,424,284	724,238	0.6275	0.3121	0.6272	0.1879	-0.0518	0.6138	0.4017	0.4292	0.0983	0.1462	0.4419	0.2475	0.5265	0.2525	0.0489	100	27	100	249,124	347,466	253,070	0.655	0.5176	0.6551	0.6776	0.642	67	4.02	501	80.6	0.5267	4.7	-0.47	666	-21.6	-0.3325	472,470	258,999	483,367	0.3643	0.6343	0.3529	0.6065	0.4906	70.5	4.32	563	82.3	0.572	1.2	-0.77	604	-23.3	-0.3778	199,629	269,729	355,639	0.7193	Average	0.6134	0.5192	0.5791	0.6731	Average	79.2	4.4	892	84.5	Average	0.6701	-7.5	-0.85	275	-25.5	-0.4759	28	101	101	670	122	competitive	0.0795	8.59	7.4	11.1	66.7	14.8	2,951	1,009	competitive	0.0203	1.27	0	14	74	12	8,039	5,411	competitive	0.0129	0.32	0	51	49	0.3507	0.6898	0.1493	-0.1144	100	101	226	403	19	0.4839	0.078	0.9587	0.1078	0.1284	80	4.43	910	85.4	0.6701	-8.3	-0.88	257	-26.4	-0.4759	competitive	0.0127	0.77	45	55	0.5046	0.37	9.45	0.0563	0.9032	0.4437	-0.3278	100	101	21,182	49,279	3,705	0.619	0.1181	0.9336	0.1635	0.1981	85.9	4.86	2,591	96.8	0.8471	-14.2	-1.31	-1,424	-37.8	-0.6529	competitive	0.0045	0.0005	1	0.04	0.5631	0.2094	0.3682	0.2906	0.2072	828,388	62.9	3.88	394	76.6	0.4737	8.8	-0.33	773	-0.2795	0.6852	0.1171	0.9662	0.1787	0.2138	258,178	0.5991	-17.6	729,462	27,723	24.3	58.7	7.7	9.2	828,389	67	65.3	3.96	492	71.2	0.4124	6.4	-0.41	675	-0.2182	0.5455	0.2121	0.9697	0.2424	0.2576	31	70.35	0.81	0.3485	67	11.81	847	654	1.0749	10,748.84	0.05	215,382	116	0.012	120.3	63.17	357.14	4.13	99.01	1.67	99.01	1.6	99.01	0.2	99.01	-7.9	0	7	0.1	-56.6	null	null	null	null	null	0.01	-24,310	0.033	0.61	249,124	0.655	0.03	-25,285	0.034	0.44	472,470	0.364	0.06	-138,126	0.182	0.63	199,629	0.719	-0.06	-342,333	-0.092	0.5	226	0.484	-0.38	21,181	-0.315	0.56	21,182	0.619	0.1942	100	0	1,167	0.23	7	0.742	0.736	decelerating	0.23	1.63	7	7	34	98	0.816	0.822	0.822	0.742	0.736	142,983	148,636	148,433	6	825	decelerating	-0.1	null	71.16
EKRM7SC7	Around the World Cafe Bakery	Food and Drink	Restaurants	European restaurant	European restaurant, American restaurant	119 5th Ave, Indialantic, FL 32903	119 5th Ave	Melbourne	Florida	Indialantic by the Sea	null	32,903	US	true	28.091063	-80.567476	America/New_York	(321) 46-***	2	null	true	Melbourne	Florida	US	https	https://atworldcafe.com	atworldcafe.com	atworldcafe.com	com	307	2025-05-28	2026-05-28	GMO Internet, Inc.	purchase_dataset@yahoo.com, purchase_dataset@gmail.com	null	2	2	0	"Quaint bakeshop offering classic European pastries, cafe dishes & coffee in an easygoing atmosphere(...TRUNCATED)	4.61	1,035	{"1": 50, "2": 26, "3": 23, "4": 73, "5": 852}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert, Great tea selection, Live music, Serves local specialty	Breakfast, Lunch, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, All you can eat, Beer, Cocktails, Coffee, Comfort food, Happy hour food, Healthy options, (...TRUNCATED)	Breakfast, Brunch, Lunch, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet, Trendy	Family-friendly, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	null	null	https://www.facebook.com/worldcafelive	worldcafelive	https://twitter.com/worldcafelive	worldcafelive	https://www.tiktok.com/@the_world_cafe	the_world_cafe	https://www.linkedin.com/company/world-cafe-live	world-cafe-live	https://www.youtube.com/c/worldcafe	worldcafe	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	1,190	81	6,633	8.04	null	3.52	9.99	8.04	https://atworldcafe.com	null	null	2026-03-25T01:41:06.373857+00:00	1.4	1.16	0.3	11,521.05	187.6	154.4343	0.37	92.2	100	90.3	0.4065	null	0.584	0.4708	0.3778	0.8685	0.7353	0.5865	79.2	68.9	null	null	null	76.47	0	23.53	75	2.08	22.92	75.47	4.72	19.81	stable	improving	null	10.3	0.2062	14.9	0	17	48	106	81.9	43.5	92	100	62.3	96	81	214	95	9,651	27,053	12,578	83,279	387,981	111,548	90,490	81	66,834	22	237,989	488,307	81	519,283	264,631	101	330,468	65	382	701	48,299	85,635	724,238	1,424,284	724,238	0.5773	0.3158	0.6502	-0.3158	-0.0973	0.8272	0.3611	0.5329	-0.3611	0.02	0.4648	0.2706	0.5206	-0.2706	0.0323	100	21	80	66,834	88,233	237,989	0.9072	0.8722	0.6755	0.7725	0.8685	72.5	4.39	512	82.5	0.619	6.2	0.22	511	7.8	-0.2125	488,307	149,065	519,283	0.3433	0.7867	0.3048	0.8739	0.7353	70	4.41	521	86.9	0.6377	8.7	0.2	502	3.4	-0.2312	264,631	335,515	330,468	0.6333	Market Leader	0.5266	0.5533	0.4875	0.5865	Average	78.4	4.36	923	83.3	Average	0.6504	0.3	0.25	100	7	-0.2439	22	81	101	286	11	competitive	0.0869	6.68	4.8	14.3	47.6	33.3	3,665	1,031	competitive	0.024	1.02	2.5	21.3	50	26.3	7,748	5,091	competitive	0.011	0.32	0	57	43	0.3507	0.6943	-0.3507	-0.1414	100	101	102	130	105	0.7661	0.6904	0.7615	0.7248	0.2592	80	4.43	903	85.5	0.6744	-1.3	0.18	120	4.8	-0.2679	competitive	0.0112	0.77	45	55	0.742	0.37	9.45	0.0563	0.9045	-0.0563	-0.3516	100	101	8,437	17,501	10,681	0.8461	0.6812	0.8083	0.7417	0.3498	85.9	4.86	2,594	96.8	0.8469	-7.2	-0.25	-1,571	-6.5	-0.4404	competitive	0.0039	0.0005	1	0.04	0.7853	0.2094	0.3682	-0.2094	0.1847	828,388	62.9	3.88	394	76.6	0.4737	15.8	0.73	629	-0.0672	0.891	0.7213	0.8746	0.7811	0.3673	88,196	0.8352	13.7	225,286	103,227	24.3	58.7	7.7	9.2	828,389	313	69	4.37	513	82.2	0.5809	9.7	0.24	510	-0.1744	0.7532	0.6571	0.7821	0.7019	0.2212	78	68.56	-45.8	0.1506	313	11.81	847	654	1.0664	10,663.69	0.05	215,382	116	0.012	120.45	75.44	454.55	5.74	123.46	1.2	99.01	1.25	99.01	0.15	99.01	-4.6	0	10	0	-44.5	null	null	null	null	null	0.02	-47,406	0.066	0.83	66,833	0.907	0.03	-48,642	0.066	0.46	488,306	0.343	0.07	-112,530	0.149	0.58	264,630	0.633	0.18	-348,027	0.197	0.74	102	0.766	-0.13	8,436	-0.088	0.79	8,437	0.846	0.4065	null	null	1,023	0.37	11	0	0.75	decelerating	0.37	2.57	11	11	43	125	0.908	0.911	0.911	0	0.75	75,655	78,604	78,576	1	6	decelerating	0.17	null	22.76
T4H3RUZY	Thai kitchen	Food and Drink	Restaurants	Thai restaurant	Thai restaurant, Asian restaurant	1729 N Wickham Rd, Melbourne, FL 32935	1729 N Wickham Rd	Melbourne	Florida	Blake	null	32,935	US	true	28.135256	-80.670903	America/New_York	(321) 25-***	2	null	true	Melbourne	Florida	US	https	https://thaikitchen-melbourne.com	thaikitchen-melbourne.com	thaikitchen-melbourne.com	com	110	2025-12-11	2027-12-11	PDR Ltd. d/b/a PublicDomainRegistry.com	purchase_dataset@hotmail.com	null	1	1	0	Traditional Thai fare, such as lemongrass noodles & papaya salad, served in a simple space.	4.64	372	{"1": 14, "2": 9, "3": 9, "4": 32, "5": 307}	Delivery, Takeout, Dine-in	Fast service, Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegan options, Vege(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	4	https://www.instagram.com/kindthaikitchen	kindthaikitchen	https://www.facebook.com/thaikitchenmlb	thaikitchenmlb	https://twitter.com/phadthaifood	phadthaifood	null	null	https://www.linkedin.com/in/stephen-hanton-11873767	stephen-hanton-11873767	null	null	null	null	null	null	null	null	168	6.99	null	6.02	6.01	6.01	198	null	null	null	null	null	null	null	null	null	null	null	null	https://thaikitchenmelbournefl.smiledining.com	https://thaikitchenmelbourne.com	https://thaikitchenmelbourne.com	2026-03-24T18:20:16.446448+00:00	0.2	0.11	0.7	11,491.71	234.6	154.4343	0.37	92.8	85.7	91.4	0.8436	null	1	0.8824	0.7845	0.731	0.4735	0.6507	100	89.2	null	null	null	100	0	0	94.12	5.88	0	89.47	10.53	0	stable	improving	null	10.8	0.2155	12.1	0	8	17	38	82.8	27.4	84	100	98.3	94	199	196	273	22,165	25,277	32,956	284,621	358,848	432,313	305,634	199	108,619	12	112,252	423,669	101	438,779	208,143	101	349,567	55	382	701	48,299	85,635	724,238	1,424,284	724,238	0.6254	0.3121	0.6232	0.6879	0.3768	0.797	0.3182	0.3547	0.6818	0.6453	0.4797	0.316	0.56	0.684	0.44	100	11	100	108,619	230,473	112,252	0.849	0.6778	0.8468	0.5502	0.731	70.5	4.17	633	78.3	0.5567	9.4	0.47	-264	13	0.2869	423,669	273,647	438,779	0.4293	0.6141	0.4125	0.5921	0.4735	72	4.31	616	82.1	0.5676	7.9	0.33	-247	9.2	0.276	208,143	269,729	349,567	0.7077	Strong	0.6134	0.5276	0.5791	0.6507	Average	79.1	4.4	899	84.5	Average	0.6652	0.8	0.24	-530	6.8	0.1784	12	101	101	479	25	moderate	0.0503	3.5	0	0	90.9	9.1	2,563	1,044	competitive	0.006	1.27	0	9	77	14	7,719	5,045	competitive	0.0041	0.32	0	50	50	0.3407	0.6898	0.6593	0.3102	100	101	80	117	233	0.8188	0.7271	0.4679	0.7592	0.883	80	4.43	910	85.4	0.67	-0.1	0.21	-541	5.9	0.1736	competitive	0.004	0.77	45	55	0.686	0.37	9.45	0.0563	0.9021	0.9437	0.0979	100	101	6,196	16,202	27,222	0.887	0.703	0.5136	0.7699	0.8889	85.7	4.86	2,631	96.8	0.8434	-5.8	-0.22	-2,262	-5.5	0.0002	competitive	0.0014	0.0005	1	0.04	0.7198	0.2094	0.3682	0.7906	0.6318	828,388	62.9	3.88	394	76.6	0.4737	17	0.76	-25	0.3699	0.9202	0.7419	0.6049	0.8086	0.9109	64,180	0.7721	14.7	207,994	326,738	24.3	58.7	7.7	9.2	828,389	313	69	4.37	513	82.2	0.5809	10.9	0.27	-144	0.2627	0.7981	0.6987	0.4712	0.7308	0.859	64	68.56	25.73	0.8782	313	11.81	847	654	1.0741	10,740.92	0.05	215,382	116	0.0122	122.16	25.34	833.33	0.35	99.01	0.17	99.01	0.16	99.01	0.02	99.01	-1.2	0	0	0	-33.7	null	null	null	null	null	-0.01	1,826	-0.003	0.8	108,619	0.849	0.01	-28,707	0.038	0.48	423,669	0.429	0.07	-129,612	0.171	0.63	208,143	0.708	0.12	-348,049	0.249	0.69	80	0.819	-0.2	6,195	-0.047	0.72	6,196	0.887	0.8436	100	0	369	0.03	1	0	0.114	decelerating	0.03	0.23	1	1	9	43	0.281	0.292	0.294	0	0.114	528,654	556,970	554,104	7	389	decelerating	-0.17	null	94.29
8VLU6B52	Fujiyama Japanese Seafood and Steak	Food and Drink	Restaurants	Japanese restaurant	Japanese restaurant, Asian restaurant, Japanese steakhouse, Seafood restaurant	5000 N Wickham Rd #111, Melbourne, FL 32940	5000 N Wickham Rd #111	Melbourne	Florida	Pineda Ridge	null	32,940	US	true	28.190422	-80.673244	America/New_York	(321) 25-***	2	null	true	Melbourne	Florida	US	http	http://fujiyamamelbourne.com	fujiyamamelbourne.com	fujiyamamelbourne.com	com	2,778	2018-08-22	2027-08-22	GoDaddy.com, LLC	null	null	0	0	0	Japanese restaurant offering hibachi-style dishes & a sushi bar in a relaxed setting.	4.3	1,021	{"1": 89, "2": 67, "3": 140, "4": 416, "5": 1640}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Healthy options, Pr(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, 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	1	null	null	https://www.facebook.com/p/fujiyama-seafood-steak-100063743103321	fujiyama-seafood-steak-100063743103321	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://order.mealkeyway.com/merchant/494f333949423277686749496f5169704a6138652f513d3d/main	https://order.mealkeyway.com/merchant/494f333949423277686749496f5169704a6138652f513d3d/main	https://order.mealkeyway.com/merchant/494f333949423277686749496f5169704a6138652f513d3d/main	2026-03-22T06:29:08.577000+00:00	0	0.85	3.9	10,721.91	940	154.4343	0.37	86	100	81.7	0.6584	null	0.8509	0.673	0.6449	0.1369	0.3693	0.5932	92.5	82.2	null	null	null	88.89	0	11.11	83.33	11.11	5.56	82.14	14.29	3.57	stable	improving	null	10.3	0.206	12.5	0	9	36	84	74.2	51.5	8	83	89.5	90	89	397	104	10,173	48,026	13,358	91,039	743,473	123,231	98,871	89	571,577	10	532,756	522,493	81	539,659	307,371	101	388,982	140	382	701	48,299	85,635	724,238	1,424,284	724,238	0.5436	0.3482	0.639	-0.3482	0.1933	0.1797	0.3472	0.3944	-0.3472	0.4379	0.2701	0.1897	0.4514	-0.1897	0.3809	100	9	80	571,577	715,679	532,756	0.2204	0.029	0.276	0.0937	0.1369	60.6	3.1	310	68	0.3592	10.7	1.2	710	13.7	0.2992	522,493	571,556	539,659	0.2977	0.2259	0.2776	0.4477	0.3693	68.9	4.07	497	80.1	0.5391	2.4	0.23	523	1.6	0.1193	307,371	303,373	388,982	0.5766	Emerging	0.5689	0.4743	0.5471	0.5932	Below Average	77.8	4.38	851	84.1	Average	0.652	-6.5	-0.08	169	-2.4	0.0064	10	81	101	545	76	moderate	0.2677	2.86	22.2	11.1	66.7	0	3,296	1,085	competitive	0.025	1.02	6.3	10	68.8	15	7,648	5,006	competitive	0.0118	0.32	0	66	34	0.3507	0.6898	-0.3507	0.1425	100	101	229	266	108	0.4725	0.3899	0.7546	0.4266	0.5596	80	4.43	908	85.4	0.6698	-8.7	-0.13	112	-3.7	-0.0114	competitive	0.0111	0.77	45	55	0.5323	0.37	9.45	0.0563	0.9032	-0.0563	-0.0709	100	101	21,871	31,752	10,681	0.6066	0.4259	0.8083	0.4793	0.638	85.9	4.86	2,591	96.8	0.8471	-14.6	-0.56	-1,571	-15.1	-0.1887	competitive	0.0039	0.0005	1	0.04	0.6129	0.2094	0.3682	-0.2094	0.4641	828,388	62.9	3.88	394	76.6	0.4737	8.4	0.42	626	0.1847	0.6728	0.4594	0.8725	0.5172	0.6613	268,427	0.6687	5.1	441,283	105,049	24.3	58.7	7.7	9.2	828,389	313	69	4.37	513	82.2	0.5809	2.3	-0.07	507	0.0775	0.4712	0.3333	0.7756	0.3782	0.5224	164	68.56	13.72	0.4679	313	11.81	847	654	1.0722	10,721.91	0.05	215,382	116	0.012	120.3	716.72	1,000	6.27	123.46	1.4	99.01	1.23	99.01	0.15	99.01	-2.2	0	10	0.1	-36.1	null	null	null	null	null	0.01	-23,769	0.033	0.18	571,576	0.22	0.03	-30,010	0.041	0.27	522,492	0.298	0.03	-65,679	0.087	0.54	307,370	0.577	-0.03	-342,330	-0.104	0.53	229	0.473	-0.34	21,870	-0.327	0.61	21,871	0.607	0.6584	null	null	1,020	0.27	8	0.6	0.662	stable	0.27	1.87	8	8	27	100	0.848	0.854	0.854	0.6	0.662	119,524	124,212	124,100	3	222	stable	0	null	82.28
4QZWR59E	Pane E Vino Italian Restaurant, Deli & Bakery	Food and Drink	Restaurants	Italian restaurant	Italian restaurant, Restaurant	1800 W Hibiscus Blvd #122, Melbourne, FL 32901	1800 W Hibiscus Blvd #122	Melbourne	Florida	null	null	32,901	US	true	28.086307	-80.652694	America/New_York	(321) 67-***	2	null	true	Melbourne	Florida	US	https	https://paneevinoitalianrestaurant.com	paneevinoitalianrestaurant.com	paneevinoitalianrestaurant.com	com	2,129	2020-06-01	2026-06-01	GoDaddy.com, LLC	null	null	0	0	0	Italian mains, pasta dishes & desserts, plus an ample wine list offered in a welcoming restaurant.	4.04	1,107	{"1": 143, "2": 68, "3": 80, "4": 155, "5": 710}	Outdoor seating, 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, Small plates, Vegetar(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet, Romantic, Trendy, Upscale	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	2	null	null	https://www.facebook.com/paneevinoitalianrestaurant	paneevinoitalianrestaurant	null	null	https://www.tiktok.com/@panevinoontheriver	panevinoontheriver	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	305	10	13,700	13.27	null	7.89	13.27	13.27	https://paneevinoitalianrestaurant.com	https://paneevinoitalianrestaurant.com	https://paneevinoitalianrestaurant.com	2026-03-19T11:31:23.031972+00:00	0.36	0.74	1.6	12,175.21	469.9	154.4343	0.37	80.8	100	74.1	0.5017	1	0.0887	0.236	0.1551	0.4055	0.6246	0.5562	54.4	57.8	100	0	0	53.33	40	6.67	59.46	37.84	2.7	56.79	39.51	3.7	improving	declining	0.9113	-3.4	-0.0664	-5.9	1	15	37	81	73.4	50.5	68	83	61.6	84	26	497	32	5,522	60,184	6,910	43,043	967,098	54,016	46,389	26	281,235	30	86,255	250,162	101	312,506	257,078	101	309,076	186	382	701	48,299	85,635	724,238	1,424,284	724,238	0.5837	0.2703	0.6538	-0.2703	-0.6302	0.6745	0.1365	0.4094	-0.1365	-0.3858	0.6279	0.3564	0.5797	-0.3564	-0.5561	100	29	100	281,235	322,974	86,255	0.6113	0.551	0.8823	0.3299	0.4055	66.4	4.05	673	74.4	0.4573	7.3	-0.01	434	-0.3	0.0435	250,162	258,999	312,506	0.6583	0.6343	0.5811	0.6138	0.6246	75.9	4.32	760	82.4	0.6066	-2.2	-0.28	347	-8.3	-0.1058	257,078	351,065	309,076	0.6431	Strong	0.5061	0.5821	0.4875	0.5562	Average	78.5	4.35	949	83.3	Average	0.6431	-4.8	-0.31	158	-9.2	-0.1423	30	101	101	697	51	competitive	0.0537	9.23	6.9	24.1	51.7	17.2	3,319	1,013	competitive	0.0144	1.27	0	2	65	33	7,241	5,001	competitive	0.0115	0.32	0	59	41	0.3507	0.6898	-0.3507	-0.6662	100	101	193	347	34	0.555	0.2018	0.9243	0.2317	0.3372	80	4.43	910	85.4	0.6701	-6.3	-0.39	197	-11.3	-0.1693	competitive	0.012	0.77	45	55	0.5599	0.37	9.45	0.0663	0.9063	-0.0663	-0.8827	100	101	17,292	40,386	5,253	0.6879	0.2754	0.9054	0.32	0.4456	85.8	4.86	2,583	96.9	0.8459	-12.1	-0.82	-1,476	-22.8	-0.3451	competitive	0.0043	0.0005	1	0.04	0.6294	0.2094	0.3682	-0.2094	-0.3446	828,388	62.9	3.88	394	76.6	0.4737	10.8	0.16	713	0.0271	0.7472	0.2933	0.941	0.3507	0.4643	206,838	0.6692	-2.5	581,288	48,464	24.3	58.7	7.7	9.2	828,389	313	69	4.37	513	82.2	0.5809	4.7	-0.33	594	-0.0801	0.5321	0.1506	0.9327	0.1795	0.3013	146	68.56	9.79	0.3718	313	11.81	847	654	1.0749	10,748.84	0.05	215,382	116	0.012	119.93	28.83	333.33	2.06	99.01	1.33	99.01	1.44	99.01	0.18	99.01	1.5	0.01	26	0.4	-43.5	null	null	null	null	null	-0.04	44,208	-0.061	0.67	281,234	0.611	0.03	-60,155	0.079	0.63	250,159	0.658	0.05	-80,677	0.106	0.58	257,073	0.643	-0.01	-342,366	-0.021	0.56	193	0.555	-0.32	17,291	-0.246	0.63	17,292	0.688	0.5008	null	null	1,098	0.23	7	0.3	0.417	stable	0.23	1.63	7	7	26	92	0.816	0.822	0.822	0.3	0.417	142,983	148,636	148,433	6	719	stable	-0.24	null	78.35

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All Restaurants in Melbourne, Florida, US

Free sample dataset from BeamStation

All Restaurants in Melbourne, Florida, US is a curated export that lists every dining establishment operating within the city limits. The dataset contains 265 records, each representing a single restaurant profile with all available columns such as name, address, cuisine type, contact information, hours of operation, and any additional attributes provided by the source. Updated on a weekly basis, the file reflects the most recent openings, closures, and modifications, making it a reliable resource for market analysts, local business developers, and researchers who need an up‑to‑date snapshot of Melbourne’s restaurant landscape. Because the refresh cadence is weekly, users can track trends over time without worrying about stale entries. The straightforward structure—one row per venue with exhaustive columns—supports tasks ranging from competitive analysis and site selection to demographic studies and food‑culture mapping. Access the dataset directly at https://beamstation.com/datasets/211295/ to download the latest version and integrate it into your workflow.

Dataset Details

Field	Value
Full dataset	265 records
Sample size	25 records
Location	Melbourne
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-melbourne-florida-us-211295")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 265 records and unmasked contact data is available at:

All Restaurants in Melbourne, Florida, US on BeamStation

License

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

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