Datasets:

beamstation
/

all-restaurants-in-merced-metro-california-us-155712

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough float64	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place string	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github string	social_username_github string	social_profile_snapchat float64	social_username_snapchat float64	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links float64	reservation_link float64	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_90d float64	reviews_count_180d float64	reviews_count_360d float64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category float64	beam_rank_competition_5km_total float64	beam_rank_competition_5km_reviews float64	beam_rank_competition_10km_category float64	beam_rank_competition_10km_total float64	beam_rank_competition_10km_reviews float64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count float64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count float64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating float64	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 float64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff float64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score float64	beam_competitors_5km_rank_by_rating float64	beam_competitors_5km_rank_by_reviews float64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews float64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff float64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score float64	beam_competitors_10km_rank_by_rating float64	beam_competitors_10km_rank_by_reviews float64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews float64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff float64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius float64	beam_competitors_5km_total_in_radius float64	beam_competitors_10km_total_in_radius float64	beam_competitors_1km_avg_distance_m float64	beam_competitors_1km_closest_competitor_m float64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m float64	beam_competitors_5km_closest_competitor_m float64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m float64	beam_competitors_10km_closest_competitor_m float64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count float64	beam_competitors_city_total_in_city float64	beam_competitors_city_rank_by_score float64	beam_competitors_city_rank_by_rating float64	beam_competitors_city_rank_by_reviews float64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews float64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff float64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count float64	beam_competitors_state_total_in_state float64	beam_competitors_state_rank_by_score float64	beam_competitors_state_rank_by_rating float64	beam_competitors_state_rank_by_reviews float64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews float64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff float64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count float64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews float64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff float64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score float64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating float64	beam_competitors_country_rank_by_reviews float64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country float64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business float64	beam_competitors_city_population_density float64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business float64	beam_competitors_state_population_density float64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change float64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change float64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change float64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change float64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change float64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change float64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change float64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change float64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change float64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change float64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count float64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d float64	beam_velocity_reviews_last_90d float64	beam_velocity_reviews_last_365d float64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km float64	beam_velocity_rank_5km float64	beam_velocity_rank_10km float64	beam_velocity_rank_city float64	beam_velocity_rank_state float64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
3EQN74Q5	Sonic Drive-In	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, American restaurant, Breakfast restaurant, Chicken restaurant, Delivery servi(...TRUNCATED)	1751 Bellevue Rd, Atwater, CA 95301	1751 Bellevue Rd	Atwater	California	null	null	95,301	US	true	37.360762	-120.612224	America/Los_Angeles	(209) 35-***	2	OPERATIONAL	true	true	null	true	Atwater	California	US	https	https://sonicdrivein.com/locations/us/ca/atwater/1751-bellevue-road/store-6467	sonicdrivein.com/locations/us/ca/atwater/1751-bellevue-road/store-6467	sonicdrivein.com	com	11,024	1996-01-29	2030-03-25	CSC Corporate Domains, Inc.	"purchase_dataset@bcw-global.com, purchase_dataset@sonicdrivein.com, purchase_dataset@sonicdrivein.c(...TRUNCATED)	realdomain	12	1	11	Fast-food burger & fries joint with an old-school feel, including retro drive-in service.	true	true	1.96	631	{"1": 78, "2": 39, "3": 84, "4": 141, "5": 290}	Takeout	null	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Late-night food, Quick bite	Breakfast	Restroom	Casual	Groups	null	Debit cards, NFC mobile payments	Good for kids, Kids' menu	true	true	purchase_dataset@	true	true	8	2024-07-13	2026-02-15	633	51	78	633	633	51	51	https://www.instagram.com/sonicdrivein	sonicdrivein	https://www.facebook.com/sonicdrivein	sonicdrivein	https://twitter.com/sonicdrivein	sonicdrivein	https://www.tiktok.com/@sonicdrivein	sonicdrivein	https://www.linkedin.com/company/sonic-drive-in	sonic-drive-in	https://www.youtube.com/sonicdrivein	sonicdrivein	https://github.com/fractumseraph	fractumseraph	null	null	https://www.pinterest.com/sonicdrivein	sonicdrivein	705,351	1.67	null	2.12	1.67	1.67	2,555	672,300	1,082	4,400,000	4.72	null	1.97	3.4	3.46	https://sonicdrivein.com/menu	null	null	2026-04-07T11:06:01.669181+00:00	816.38	0.13	0	4,308.36	93.2	20.2343	0.09	39.2	93.4	31.2	0.3618	null	1	1	0.6	0.5843	0.2453	0.1342	100	80	null	null	null	100	0	0	100	0	0	80	20	0	stable	improving	null	20	0.4	25	2	3	5	33.3	60	-100	57.8	9.5	100	83	92.8	46	11	38	11	19,684	100,441	27,121	199,100	889,057	287,215	213,262	11	210,005	12	420,742	555,881	28	684,966	199,837	5	731,884	140	39	50	88,794	166,101	733,669	1,458,104	733,669	0.5897	-0.0621	-0.1639	0.0621	1.1639	0.6475	-0.0061	0.1051	0.0061	0.8949	0.3785	0.0099	0.1689	-0.0099	0.8311	4	11	27	210,005	167,845	420,742	0.7133	0.7716	0.4356	0.7671	0.5843	44.8	1.32	457	24.9	0.5106	13	0.64	174	6.3	-0.1488	555,881	138,022	684,966	0.2624	0.8151	0.0968	0.9057	0.2453	43.4	1.63	348	32.4	0.4882	14.4	0.33	283	-1.2	-0.1264	199,837	23,159	731,884	0.7286	Average	0.9683	0.026	0.9916	0.1342	Below Average	52.2	2.56	110	50.3	Average	0.4668	5.6	-0.6	521	-19.1	-0.105	12	28	5	438	74	moderate	0.1114	3.5	27.3	72.7	0	0	2,078	1,173	competitive	0.0629	0.34	37	44.4	18.5	0	8,235	5,907	concentrated	0.5892	0.01	25	75	0	0	-0.0216	0.1295	0.0216	0.8705	37	38	6	19	10	0.8684	0.5263	0.7632	0.5263	0.3421	43.7	1.48	390	28.9	0.4848	14.1	0.48	241	2.3	-0.123	competitive	0.0419	2.17	35.1	51.4	13.5	0	0.7342	0.13	5.06	0.1878	0.7282	-0.1878	0.2718	100	101	7,848	25,100	61,628	0.923	0.7554	0.4012	0.801	0.2464	55.3	1.29	3,728	13.2	0.8695	2.5	0.67	-3,097	18	-0.5077	competitive	0.0017	0.0002	1.28	0.01	0.7162	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	16.7	1.02	100	-0.0977	0.8884	0.6603	0.7382	0.6686	0.3463	87,514	0.7749	10.8	268,234	206,994	44.5	8.8	0	46.7	791,802	34	54.5	4.23	342	32.4	0.5354	14.7	-0.62	251	-0.1726	0.8788	0.0909	0.7879	0.4545	0.303	5	76.18	3.31	0.303	34	11.57	864	1,878	0.4516	4,516.11	0.03	395,382	93	0.0094	94.29	124.2	833.33	39.59	357.14	3,471.2	2,000	17.53	263.16	0.03	99.01	-22.3	-1.83	40	-35.6	-50.6	null	null	null	null	null	0.01	5,478	-0.003	0.65	210,005	0.713	0.28	-135,884	0.189	0.38	555,881	0.262	0.38	-437,376	0.59	0.59	199,837	0.729	0.06	3	-0.079	0.73	6	0.868	0.08	-2,796	0.03	0.72	7,848	0.923	0.3618	null	null	593	0	0	0	0	decelerating	0.03	0.23	1	1	3	17	0.281	0.292	0.294	0.5	0.147	528,654	556,970	554,104	3	4,706	stable	-0.07	null	75.97
MBJNGVH7	IHOP	Food and Drink	Restaurants	Breakfast restaurant	"Breakfast restaurant, American restaurant, Brunch restaurant, Diner, Family restaurant, Lunch resta(...TRUNCATED)	12310 CA-33, Santa Nella, CA 95322	12310 CA-33	Los Banos	California	null	Santa Nella	95,322	US	true	37.109954	-121.014707	America/Los_Angeles	(209) 82-***	2	null	true	true	Santa Nella	true	Los Banos	California	US	https	https://restaurants.ihop.com/en-us/ca/santa-nella/breakfast-12310-south-highway-33-5693	restaurants.ihop.com/en-us/ca/santa-nella/breakfast-12310-south-highway-33-5693	restaurants.ihop.com	com	10,602	1997-03-26	2028-03-27	MarkMonitor, Inc.	null	null	0	0	0	Long-standing chain serving a wide variety of pancakes & other American breakfast & diner fare.	true	true	1.91	117	{"1": 50, "2": 8, "3": 3, "4": 9, "5": 70}	Curbside pickup, Delivery, Takeout, Dine-in	Great coffee	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Happy hour food, Quick bite, Small plates, Vegetarian options	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Quiet	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2025-11-19	2026-03-27	139	11	38	139	139	11	11	https://www.instagram.com/ihop	ihop	https://www.facebook.com/coneyislandihop	coneyislandihop	https://twitter.com/ihop	ihop	null	null	https://www.linkedin.com/company/ihop	ihop	https://www.youtube.com/user/ihop	ihop	null	null	null	null	null	null	756,639	0.57	0.06	0.08	0.57	0.57	2,459	null	null	null	null	null	null	null	null	https://ihop.com/en/menu?storenumber=5693&action=viewmenu%3Futm_source%3Dgoogle	null	null	2026-04-07T10:43:40.320428+00:00	897.56	0	0	8,818.98	104.9	31.6638	0.12	38.2	69.1	26.5	-0.0387	null	1	0.8564	0.0387	0.131	0.093	0.0051	100	51.9	null	null	null	100	0	0	100	0	0	54.55	45.45	0	stable	improving	null	48.1	0.9613	92.7	1	4	11	-50	-63.6	-100	48.6	9.5	68	67	85.4	46	43	65	52	53,438	115,271	83,086	454,944	1,032,467	762,384	487,794	43	166,096	12	37,110	606,289	6	447,039	224,741	2	727,224	141	65	102	88,794	166,101	733,669	1,458,104	733,669	0.2891	1	1	-1	0	0.8728	0.0909	0.2978	-0.0909	0.7022	0.2047	0	0.155	0	0.845	1	11	5	166,096	51,934	37,110	0.7728	0.9288	0.9502	0.8987	0.131	45.9	1.89	1,320	32.3	0.3534	2.7	0.02	-1,203	-5.8	-0.3921	606,289	749,896	447,039	0.1967	0.01	0.41	0.3849	0.093	42	0.07	745	11.1	0.4169	6.6	1.84	-628	15.4	-0.4556	224,741	745,977	727,224	0.6933	Market Leader	0.007	0.0321	0	0.0051	Below Average	51.7	0.01	144	0	Below Average	0.0238	-3.1	1.9	-27	26.5	-0.0625	12	6	2	492	11	moderate	0.008	3.5	27.3	72.7	0	0	1,272	1,061	concentrated	0.0304	0.06	40	60	0	0	6,138	6,138	concentrated	0.4483	0	0	100	0	0	0.0301	0.2896	-0.0301	0.7104	54	55	22	24	49	0.6316	0.5965	0.1579	0.6491	0.0351	44.4	1.12	739	18.5	0.4126	4.2	0.79	-622	8	-0.4513	competitive	0.0029	2.06	33.3	61.1	5.6	0	0.4789	0.12	5.27	0.1878	0.7267	-0.1878	0.2733	100	101	18,714	25,435	81,985	0.8164	0.7522	0.2029	0.7447	0.019	55.3	1.28	3,641	13.2	0.8696	-6.7	0.63	-3,524	13.3	-0.9083	competitive	0.0003	0.0002	1.28	0.01	0.6131	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	7.5	0.97	-414	-0.4982	0.7225	0.6553	0.3842	0.6451	0.0323	217,516	0.6009	6.1	272,134	486,558	44.5	8.8	0	46.7	791,802	45	56.4	3.93	428	24.3	0.4004	-2.1	-1.34	-313	-0.447	0.3409	0.0682	0.25	0.5909	0.0227	30	64.51	-11.88	0.2045	45	11.86	843	1,737	0.8769	8,769	0.03	395,382	93	0.0092	92.08	0.64	833.33	9.27	1,666.67	2,009.51	5,000	0.09	181.82	0	99.01	-10.4	-1.08	2	-22.2	-17.9	null	null	null	null	null	0.57	-462,071	0.628	0.87	166,095	0.773	0	8,333	-0.001	0.2	606,288	0.197	0.24	-458,012	0.615	0.29	224,740	0.693	0.36	-27	0.489	0.48	22	0.632	0.38	-55,329	0.549	0.61	18,714	0.816	-0.0387	null	null	115	0	0	0	0	decelerating	0.03	0.23	1	1	5	25	0.281	0.292	0.294	1	0.116	528,654	556,970	554,104	1	832	decelerating	0	null	51.3
HH3TC9X3	IHOP	Food and Drink	Restaurants	Breakfast restaurant	"Breakfast restaurant, American restaurant, Brunch restaurant, Diner, Family restaurant, Lunch resta(...TRUNCATED)	1315 W Pacheco Blvd, Los Banos, CA 93635	1315 W Pacheco Blvd	Los Banos	California	null	null	93,635	US	true	37.056392	-120.873294	America/Los_Angeles	(209) 25-***	1	null	true	true	null	true	Los Banos	California	US	https	https://restaurants.ihop.com/en-us/ca/los-banos/breakfast-1315-west-pacheco-blvd-3740	restaurants.ihop.com/en-us/ca/los-banos/breakfast-1315-west-pacheco-blvd-3740	restaurants.ihop.com	com	10,602	1997-03-26	2028-03-27	MarkMonitor, Inc.	null	null	0	0	0	Long-standing chain serving a wide variety of pancakes & other American breakfast & diner fare.	true	true	1.99	252	{"1": 44, "2": 15, "3": 23, "4": 39, "5": 147}	Delivery, Dine-in	Great coffee, Great dessert	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Happy hour food, Quick bite, Small plates, Vegetarian options	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2025-11-19	2026-03-27	139	11	38	139	139	11	11	https://www.instagram.com/ihop	ihop	https://www.facebook.com/coneyislandihop	coneyislandihop	https://twitter.com/ihop	ihop	null	null	https://www.linkedin.com/company/ihop	ihop	https://www.youtube.com/user/ihop	ihop	null	null	null	null	null	null	756,639	0.57	0.06	0.08	0.57	0.57	2,459	null	null	null	null	null	null	null	null	https://ihop.com/en/menu?storenumber=3740&action=viewmenu	null	null	2026-04-07T10:42:11.330463+00:00	897.56	0	0	8,789.16	104.4	31.6638	0.12	39.8	80.1	33.7	0.3502	null	1	-0.3218	0.3278	0.1254	0.1492	null	100	66.4	null	null	null	100	0	0	33.33	66.67	0	70.59	29.41	0	stable	improving	null	33.6	0.6722	50.6	1	6	17	-66.7	-76.5	-100	52.1	9.5	68	67	92.6	46	35	55	41	39,052	102,030	56,940	349,286	903,304	545,789	373,894	35	231,883	11	202,641	578,154	28	593,988	null	null	null	139	65	102	88,794	166,101	733,669	1,458,104	733,669	null	null	null	null	null	0.7375	-0.019	0.2966	0.019	0.7034	0.3097	-0.0067	0.2452	0.0067	0.7548	null	10	27	231,883	133,009	202,641	0.6836	0.8188	0.728	0.7157	0.1254	44.3	1.45	719	22.7	0.3498	7.8	0.54	-467	11	0.0004	578,154	371,807	593,988	0.2333	0.5048	0.2163	0.472	0.1492	42.8	0.83	510	13.5	0.4496	9.3	1.16	-258	20.2	-0.0994	null	null	null	null	Strong	null	null	null	null	Below Average	null	null	null	null	null	null	null	null	null	null	null	11	28	null	412	28	moderate	0.0339	3.18	40	50	10	0	2,929	1,287	competitive	0.018	0.34	37	55.6	7.4	0	null	null	null	null	null	null	null	null	null	0.0301	0.2896	-0.0301	0.7104	54	55	14	23	40	0.7544	0.614	0.3158	0.7018	0.3333	44.3	1.12	737	18.4	0.4054	7.8	0.87	-485	15.3	-0.0552	competitive	0.0063	2.06	33.3	61.1	5.6	0	0.5807	0.12	5.25	0.1878	0.7267	-0.1878	0.2733	100	101	13,747	24,788	72,854	0.8653	0.7586	0.2919	0.8126	0.2378	55.3	1.28	3,641	13.2	0.8696	-3.2	0.71	-3,389	20.5	-0.5194	competitive	0.0007	0.0002	1.28	0.01	0.6613	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	11	1.05	-279	-0.1093	0.8046	0.6631	0.5256	0.6837	0.3365	153,195	0.6785	13.3	266,074	374,932	44.5	8.8	0	46.7	791,802	45	56.4	3.93	428	24.3	0.4004	-0.2	-0.39	-175	-0.0477	0.3864	0.1818	0.4318	0.6136	0.3636	28	64.51	11.38	0.4545	45	11.86	843	1,737	0.8739	8,739.35	0.03	395,382	93	0.0092	92.08	11.46	909.09	3.23	357.14	null	null	0.4	181.82	0	99.01	-12.9	-1.82	-1	-34.3	-23.3	null	null	null	null	null	0.24	-184,280	0.255	0.74	231,882	0.684	0.08	32,130	-0.033	0.31	578,153	0.233	0	0	0	0	-1	0	0.29	-25	0.451	0.58	14	0.754	0.29	-45,598	0.454	0.66	13,747	0.865	0.3502	null	null	253	0	0	0	0	decelerating	0.07	0.47	2	2	14	50	0.369	0.381	null	1	0.16	553,450	582,366	null	1	815	decelerating	-0.23	-0.5	75.49
4TTPE5TQ	Five Guys	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, American restaurant, Hamburger restaurant, Hot dog restaurant, Hot dog stand,(...TRUNCATED)	3572 G St, Merced, CA 95340	3572 G St	Merced	California	null	null	95,340	US	true	37.331523	-120.466703	America/Los_Angeles	(209) 20-***	2	OPERATIONAL	true	true	null	true	Merced	California	US	https	https://restaurants.fiveguys.com/3572-g-street	restaurants.fiveguys.com/3572-g-street	restaurants.fiveguys.com	com	9,617	1999-12-06	2026-12-06	GoDaddy.com, LLC	null	null	0	0	0	Fast-food chain with made-to-order burgers, fries & hot dogs, plus free peanuts while you wait.	true	true	2.38	556	{"1": 32, "2": 29, "3": 72, "4": 109, "5": 313}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Late-night food, Quick bite	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual	Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	5	2025-11-04	2026-02-20	154	46	36	154	154	46	46	https://www.instagram.com/fiveguys	fiveguys	https://www.facebook.com/fiveguys	fiveguys	https://twitter.com/fiveguys	fiveguys	null	null	https://www.linkedin.com/company/five-guys-enterprises	five-guys-enterprises	https://www.youtube.com/channel/ucnpscurqhlcort-vr7neaeg	ucnpscurqhlcort-vr7neaeg	null	null	null	null	null	null	430,403	0.33	null	0.58	0.33	0.33	3,318	null	null	null	null	null	null	null	null	https://fiveguys.com/menu	null	null	2026-04-07T10:10:37.128259+00:00	498.73	0.12	0	7,561.5	166.3	70.4324	0.09	47.6	91.5	41.5	0.5393	null	0.5576	0.5742	0.4234	0.5807	0.5577	0.0179	77.9	71.2	null	null	null	50	0	50	60	0	40	66.67	11.11	22.22	stable	improving	null	6.7	0.1342	9.4	2	5	9	-20	-11.1	-100	52.8	9.5	56	67	79.3	46	58	137	63	21,404	81,420	29,690	212,994	732,669	309,940	228,032	58	20,244	17	287,024	97,631	101	490,049	634,335	6	720,422	119	150	215	88,794	166,101	733,669	1,458,104	733,669	0.1986	-0.0928	-0.2814	0.0928	0.839	0.8582	0.0225	0.0916	-0.0225	0.466	0.7303	0.2049	0.3632	-0.2049	0.1944	5	16	100	20,244	36,552	287,024	0.9721	0.9498	0.6148	0.9329	0.5807	53	2.03	602	35.5	0.5095	-0.2	0.35	-46	6	0.0298	97,631	56,899	490,049	0.8684	0.9231	0.3534	0.9652	0.5577	53.4	2.07	675	37.6	0.5806	-0.6	0.31	-119	3.9	-0.0413	634,335	433,404	720,422	0.1534	Market Leader	0.4163	0.0412	0.4578	0.0179	Strong	42.3	0.72	184	13	Emerging	0.2777	10.5	1.66	372	28.5	0.2616	17	101	6	315	25	competitive	0.0545	5.09	18.8	50	31.3	0	3,207	1,159	competitive	0.0082	1.27	11	59	30	0	5,532	5,036	concentrated	0.3772	0.02	60	40	0	0	0.1466	0.3144	-0.1466	0.2432	100	101	64	67	68	0.5935	0.5677	0.5677	0.5484	0.4323	52.9	1.73	811	30.4	0.5633	-0.1	0.65	-255	11.1	-0.024	competitive	0.0068	1.66	15	53	32	0	0.5781	0.13	6.13	0.1838	0.7283	-0.1838	-0.1707	100	101	12,832	20,994	61,724	0.8741	0.795	0.4004	0.8455	0.4065	55.3	1.28	3,657	13.2	0.8693	-2.5	1.1	-3,101	28.3	-0.33	competitive	0.0015	0.0002	1.28	0.01	0.7082	0.059	0.2307	-0.059	0.3269	791,801	41.1	0.94	531	20.4	0.4595	11.7	1.44	25	0.0798	0.8176	0.7067	0.7085	0.7253	0.521	143,019	0.7516	21.1	231,269	230,522	44.5	8.8	0	46.7	791,802	17	55.6	4.01	497	34	0.4841	3.9	0.01	54	0.0645	0.5625	0.25	0.5	0.5625	0.5	8	75.6	9.04	0.5	17	11.58	863	1,434	0.9391	9,390.73	0.03	395,382	93	0.0092	92.48	29.75	588.24	0.67	99.01	1,422.84	1,666.67	0.46	99.01	0.02	99.01	-18.4	-1.78	5	-34.7	-33.3	null	null	null	null	null	0.11	-101,893	0.142	0.86	20,244	0.972	0.35	-411,805	0.553	0.73	97,631	0.868	0.13	-27,228	0.047	0.2	634,335	0.153	0.04	3	-0.007	0.58	64	0.594	0.13	-24,723	0.249	0.71	12,832	0.874	0.5393	null	null	551	0	0	0	0	decelerating	0.03	0.23	1	1	5	23	0.281	0.292	0.294	0.2	0.147	528,654	556,970	554,104	10	4,706	decelerating	-0.04	null	82.51
U72D4MER	Del Taco	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, American restaurant, Breakfast restaurant, Hamburger restaurant, Takeout Rest(...TRUNCATED)	29025 Plaza Dr, Santa Nella, CA 95322	29025 Plaza Dr	Los Banos	California	null	Santa Nella	95,322	US	true	37.111437	-121.016564	America/Los_Angeles	(209) 82-***	2	OPERATIONAL	true	true	Santa Nella	true	Los Banos	California	US	https	https://locations.deltaco.com/us/ca/santa-nella/29025-plaza-dr	locations.deltaco.com/us/ca/santa-nella/29025-plaza-dr	locations.deltaco.com	com	9,982	1998-12-07	2028-12-06	Network Solutions, LLC	null	null	0	0	0	Fast-food chain for Mexican standards like tacos, burritos & quesadillas plus breakfast.	true	true	2.58	1,829	{"1": 231, "2": 121, "3": 309, "4": 395, "5": 776}	Delivery, Drive-through, Onsite services, Takeout, Dine-in	null	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Healthy options, Late-night food, Quick bite, Vegetarian options	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	3	2025-11-05	2026-02-24	153	42	36	153	153	42	42	https://www.instagram.com/deltaco	deltaco	https://www.facebook.com/deltaco	deltaco	null	null	null	null	https://www.linkedin.com/company/del-taco	del-taco	null	null	null	null	null	null	null	null	98,133	0.34	null	0.23	0.34	0.34	2,123	null	null	null	null	null	null	null	null	https://order.deltaco.com/menu/del-taco-972	null	null	2026-04-07T09:56:57.386926+00:00	116.41	0	0	5,959.31	263.7	31.6638	0.09	51.6	100	26.8	0.2887	null	null	0.5	0.2867	0.0507	0.1629	0.0051	null	64.3	null	null	null	null	null	null	75	25	0	60	40	0	stable	stable	null	null	null	null	0	4	5	-100	-100	null	55.5	19.5	40	83	90.7	46	4	53	4	2,797	100,524	3,512	26,004	889,661	32,510	27,788	4	255,556	10	296,216	497,452	8	92,887	224,741	2	727,224	98	65	102	88,794	166,101	733,669	1,458,104	733,669	0.2891	1	1	-1	-1	0.686	0.1111	0.3923	-0.1111	-0.3923	0.5852	0	0.2171	0	-0.2171	1	9	7	255,556	135,423	296,216	0.6516	0.8154	0.6026	0.8987	0.0507	43.8	1.44	591	32.3	0.2725	11.7	1.14	1,238	-5.5	0.0162	497,452	283,679	92,887	0.3388	0.6216	0.8774	0.5789	0.1629	44.8	1.07	1,603	17.1	0.456	10.7	1.51	226	9.7	-0.1673	224,741	745,977	727,224	0.6933	Strong	0.007	0.0321	0	0.0051	Average	51.7	0.01	144	0	Below Average	0.0238	3.8	2.57	1,685	26.8	0.2649	10	8	2	493	103	moderate	0.2559	2.86	33.3	66.7	0	0	1,344	1,031	moderate	0.1402	0.09	28.6	71.4	0	0	6,303	6,303	concentrated	0.927	0	0	100	0	0	0.0301	0.3081	-0.0301	-0.3081	54	55	11	15	5	0.8246	0.7544	0.9298	0.6667	0.2982	44.2	1.11	708	18.5	0.4065	11.3	1.47	1,121	8.3	-0.1178	competitive	0.0457	2.06	33.3	61.1	5.6	0	0.8351	0.12	5.24	0.1841	0.7246	-0.1841	-0.7246	100	101	10,078	18,566	14,342	0.9012	0.8183	0.8605	0.748	0.1985	55.4	1.28	3,636	13.2	0.8698	0.1	1.3	-1,807	13.6	-0.5811	competitive	0.005	0.0002	1.28	0.01	0.8641	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	14.4	1.64	1,298	-0.1708	0.8596	0.7332	0.9393	0.6466	0.2881	110,089	0.8456	6.4	210,236	48,021	44.5	8.8	0	46.7	791,802	12	57.9	3.67	752	19.1	0.403	2.7	-0.07	407	-0.1192	0.5455	0.3636	0.8182	0.8182	0.3636	6	73.04	-4.1	0.1818	12	11.86	843	1,737	0.8393	8,393	0.03	395,382	93	0.0092	91.95	655.09	1,000	196.52	1,250	8,593.56	5,000	20.86	181.82	0.25	99.01	-9.8	-1.06	688	-34.3	10	null	null	null	null	null	0.48	-425,581	0.577	0.69	255,556	0.652	0.36	-80,904	0.116	0.59	497,452	0.339	0.24	-458,012	0.615	0.29	224,741	0.693	0.35	-26	0.468	0.84	11	0.825	0.38	-48,250	0.48	0.86	10,078	0.901	0.2887	null	null	1,159	0	0	0	0	stable	0	0	0	0	0	15	null	null	null	0	0	null	null	null	6	3,379	stable	null	null	67.34
JJVMJAWU	The Burger Den	Food and Drink	Restaurants	Delivery Restaurant	Delivery Restaurant	1128 W 13th St, Merced, CA 95341	1128 W 13th St	Merced	California	null	null	95,341	US	true	37.300555	-120.495737	America/Los_Angeles	(209) 72-***	0	null	true	false	null	true	Merced	California	US	https	https://theburgerden.com	theburgerden.com	theburgerden.com	com	1,997	2020-10-16	2027-10-16	Network Solutions, LLC	null	null	0	0	0	null	true	false	3	3	{"1": 0, "2": 0, "3": 0, "4": 1, "5": 2}	No-contact delivery, Takeout	null	null	Wheelchair accessible entrance, Wheelchair accessible parking lot	null	null	null	null	null	null	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-07T09:53:08.209962+00:00	0	0	6.8	9,422.35	611	70.4324	0.13	60	20.1	66.7	0.3308	null	null	null	-0.3308	0.6593	0.431	0.033	null	33.5	null	null	null	null	null	null	null	null	null	0	100	0	stable	stable	null	null	null	null	0	0	1	null	-100	null	40	19.5	0	33	50	46	145	64	200	77,000	51,675	141,111	632,730	482,219	1,263,833	682,196	145	19,670	34	348,227	132,353	101	527,647	680,094	8	739,829	54	150	215	88,794	166,101	733,669	1,458,104	733,669	0.2711	-0.1429	-0.1545	0.1429	0.1545	0.844	0.3473	0.4167	-0.3473	-0.4167	0.69	0.1171	0.2658	-0.1171	-0.2658	7	33	100	19,670	12,198	348,227	0.9729	0.9833	0.5328	0.98	0.6593	53.1	2.52	532	47.1	0.5343	-13.1	0.48	-529	19.6	-0.2035	132,353	73,414	527,647	0.8214	0.9013	0.3036	0.9466	0.431	52.1	1.96	615	35.6	0.5438	-12.1	1.04	-612	31.1	-0.213	680,094	175,015	739,829	0.0932	Market Leader	0.7641	0.0154	0.841	0.033	Strong	39.6	1.53	52	28.7	Below Average	0.349	0.4	1.47	-49	38	-0.0182	34	101	8	617	2	competitive	0.0002	10.5	9.1	60.6	30.3	0	2,646	1,001	competitive	0	1.27	15	60	25	0	8,938	6,266	moderate	0.0082	0.02	57.1	28.6	14.3	0	0.1397	0.3131	-0.1397	-0.3131	100	101	125	32	154	0.2	0.7935	0.0065	0.9355	0.2	52.9	1.73	813	30.3	0.5617	-12.9	1.27	-810	36.4	-0.2309	competitive	0	1.66	15	53	32	0	0.32	0.13	6.13	0.1878	0.7267	-0.1878	-0.7267	100	101	38,809	13,730	97,674	0.6205	0.8651	0.0468	0.9765	0.2243	55.3	1.28	3,641	13.2	0.8696	-15.3	1.72	-3,638	53.5	-0.5388	competitive	0	0.0002	1.28	0.01	0.5218	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-1.1	2.06	-528	-0.1287	0.467	0.7888	0.1302	0.9571	0.3203	419,837	0.4625	46.3	165,105	679,483	44.5	8.8	0	46.7	791,802	134	60.7	4.15	461	37.4	0.5868	-14.5	0.35	-458	0.4132	0.0902	0.6767	0.0226	0.8271	0.985	122	79.88	-79.88	0	134	11.58	863	1,434	0.9422	9,422.35	0.03	395,382	93	0.0092	92.08	0	294.12	0	99.01	0.66	1,250	0	99.01	0	99.01	-13.7	-1.67	0	-33.3	0	null	null	null	null	null	0.32	-363,775	0.5	0.84	19,670	0.973	0.36	-395,464	0.531	0.69	132,353	0.821	0.23	-32,386	0.055	0.27	680,094	0.093	0.04	-24	0.155	0.32	125	0.2	0.19	-44,238	0.443	0.52	38,809	0.621	0.3308	null	null	3	0	0	0	0	stable	0	0	0	0	0	2	null	null	null	0	0	null	null	null	1	43	stable	null	null	0
BFTR8JBZ	In-N-Out Burger	Food and Drink	Restaurants	Hamburger restaurant	"Hamburger restaurant, American restaurant, Diner, Fast food restaurant, Lunch restaurant, Restauran(...TRUNCATED)	28900 Henry Miller Ave, Santa Nella, CA 95322	28900 Henry Miller Ave	Los Banos	California	null	Santa Nella	95,322	US	true	37.101008	-121.014563	America/Los_Angeles	(800) 78-***	2	OPERATIONAL	true	true	Santa Nella	true	Los Banos	California	US	https	https://locations.in-n-out.com/267	locations.in-n-out.com/267	locations.in-n-out.com	com	11,141	1995-10-03	2026-10-02	GoDaddy.com, LLC	null	null	0	0	0	Classic burger chain serving customizable burgers, hand-cut fries & shakes.	true	true	4.47	7,309	{"1": 120, "2": 99, "3": 349, "4": 1261, "5": 5506}	Drive-through, Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Late-night food, Quick bite	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Trendy	College students, Family-friendly, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	2	2025-11-06	2026-02-24	152	42	36	152	152	42	42	https://www.instagram.com/innout	innout	null	null	null	null	null	null	https://www.linkedin.com/company/in-n-out-burger	in-n-out-burger	null	null	null	null	null	null	null	null	979,438	0.65	null	0.91	0.65	0.65	652	null	null	null	null	null	null	null	null	https://in-n-out.com/menu.aspx	null	null	2026-04-07T09:52:48.937178+00:00	1,161.85	1.14	0	5,998.72	392.8	31.6638	0.09	89.4	100	12.5	0.7513	null	0.6081	0.785	0.7479	0.0509	0.4357	0.0051	80.4	87.4	null	null	null	84.62	15.38	0	92	4	4	88.15	9.63	2.22	stable	declining	null	-7	-0.1398	-8	13	50	135	-48	-61.5	-100	57	9.5	44	67	83	46	6	20	6	6,542	46,887	8,344	73,961	442,002	98,137	79,773	6	347,133	14	281,277	95,505	4	274,583	224,741	2	727,224	6	65	102	88,794	166,101	733,669	1,458,104	733,669	0.2891	1	1	-1	-0.3919	0.5601	0.0769	0.2433	-0.0769	0.3648	0.8366	0	0.4264	0	0.1817	1	13	3	347,133	339,467	281,277	0.5282	0.5402	0.6225	0.7134	0.0509	42	0.8	609	22.6	0.2728	15	3.67	6,700	-10.1	0.4785	95,505	7,862	274,583	0.8713	0.9894	0.6375	0.9873	0.4357	53.5	2.72	1,044	43.5	0.5451	3.5	1.75	6,265	-31	0.2062	224,741	745,977	727,224	0.6933	Average	0.007	0.0321	0	0.0051	Market Leader	51.7	0.01	144	0	Below Average	0.0238	5.3	4.46	7,165	12.5	0.7275	14	4	2	451	87	competitive	0.4798	4.14	38.5	61.5	0	0	1,195	1,147	concentrated	0.7	0.04	0	100	0	0	5,145	5,145	concentrated	0.9807	0	0	100	0	0	0.0301	0.2968	-0.0301	0.3113	54	55	8	4	1	0.8772	0.9474	1	0.5965	0.9123	44.2	1.08	606	18.8	0.398	12.8	3.39	6,703	-6.3	0.3533	competitive	0.1825	2.06	33.3	61.1	5.6	0	0.9351	0.12	5.24	0.1878	0.729	-0.1878	-0.1209	100	101	8,705	7,791	139	0.9146	0.9242	0.9987	0.6968	0.7231	55.5	1.31	3,658	13.7	0.8669	1.5	3.16	3,651	-1.2	-0.1156	competitive	0.0196	0.0002	1.28	0.01	0.9427	0.059	0.2307	-0.059	0.3774	791,801	41.1	0.94	531	20.4	0.4595	15.9	3.53	6,778	0.2918	0.879	0.8951	0.9979	0.5871	0.8101	94,843	0.9195	-7.9	82,839	1,626	44.5	8.8	0	46.7	791,802	12	57.9	3.67	752	19.1	0.403	19.4	0.86	294	0.3254	1	1	0.7273	1	1	1	73.04	15.84	0.9091	12	11.86	843	1,737	0.7189	7,189.45	0.03	395,382	93	0.0093	92.52	2,302.51	714.29	4,900.4	2,500	9,617.31	5,000	333.15	181.82	3.84	99.01	-17.8	-0.06	6,263	-76.3	-25.6	null	null	null	null	null	0.32	-288,017	0.392	0.56	347,133	0.528	0.45	-471,292	0.633	0.84	95,505	0.871	0.24	-458,012	0.615	0.29	224,741	0.693	0.12	-9	0.163	0.94	8	0.877	0.16	-17,514	0.177	0.94	8,705	0.915	0.7513	null	null	1,046	0	0	0	0	decelerating	0.33	2.33	10	10	34	156	0.892	0.896	0.896	0	0.863	87,059	90,435	90,390	1	234	stable	0.23	null	89.01
3YEYPLPL	Ramon’s Tacos	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	486 Sutter St, Planada, CA 95365	486 Sutter St	Merced	California	null	null	95,365	US	true	37.294893	-120.320876	America/Los_Angeles	(209) 99-***	2	OPERATIONAL	true	true	Planada	true	Merced	California	US	https	https://instagram.com/ramonstacos_	instagram.com/ramonstacos_	instagram.com	com	7,974	2004-06-04	2034-06-04	RegistrarSafe, LLC	null	null	0	0	0	null	true	false	0.35	35	{"1": 3, "2": 1, "3": 1, "4": 2, "5": 28}	Onsite services, Takeout, Dine-in	Fast service	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Comfort food, Quick bite, Small plates	Lunch, Dinner	Restroom	Casual	Family-friendly, Groups, Tourists	null	null	Good for kids	true	true	purchase_dataset@	true	true	1	2022-09-29	2026-02-23	1,286	43	12	1,286	1,286	43	43	https://www.instagram.com/ramonstacos_/	ramonstacos_	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	1,591	6.47	null	4.78	5.93	5.03	37	null	null	null	null	null	null	null	null	null	null	null	2026-04-07T09:11:34.007413+00:00	1.84	0.16	3.7	10,031.98	612.1	70.4324	0.13	7	51.9	5.7	0.735	null	0	0	0	null	null	null	50	50	null	null	null	50	50	0	50	50	0	50	50	0	stable	stable	null	0	0	0	4	4	4	100	300	-100	33.9	27.4	60	50	60.5	46	134	175	172	66,017	112,347	113,239	547,573	1,000,972	1,012,494	589,202	134	1	2	2	1	2	2	1	2	2	153	150	215	88,794	166,101	733,669	1,458,104	733,669	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	1	null	2	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	1	null	2	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	1	null	2	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	134	60.7	4.15	461	37.4	0.5868	-9.6	-1.15	-427	0.196	0.1429	0.0526	0.1128	0.3308	0.782	115	79.88	-12.14	0.1353	134	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	-32.3	-4.09	1	-79.6	-34.4	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0.735	null	null	34	0.03	1	0.269	0.549	decelerating	0.03	0.23	1	1	5	17	null	null	null	0.269	0.549	null	null	null	15	1,776	decelerating	null	null	84.85
RFQXR44L	El Huateque	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Taco restaurant	20080 CA-33, Dos Palos, CA 93620	20080 CA-33	Dos Palos	California	null	null	93,620	US	true	36.995083	-120.635337	America/Los_Angeles	(209) 73-***	0	CLOSED_TEMPORARILY	false	false	null	true	Dos Palos	California	US	https	https://instagram.com/el_huateque_209	instagram.com/el_huateque_209	instagram.com	com	7,974	2004-06-04	2034-06-04	RegistrarSafe, LLC	null	null	0	0	0	null	true	false	0	13	{"1": 0, "2": 0, "3": 0, "4": 1, "5": 12}	Curbside pickup, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Comfort food, Quick bite, Small plates	Lunch, Dinner	null	Casual	Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids	false	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	https://www.instagram.com/el_huateque_209?igsh=ogq5zdc2odk2za==	el_huateque_209	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-07T09:10:22.760633+00:00	0	0	3.2	1,607.45	298	3.0102	0.21	0	38.2	0	0.9981	null	1	1	1	0.5321	0.9067	null	100	100	null	null	null	100	0	0	100	0	0	100	0	0	stable	stable	null	0	0	0	1	1	4	100	0	-100	27.7	9.5	8	50	95.4	46	5	8	8	71,671	134,970	128,222	591,340	1,209,881	1,145,786	637,022	5	429,464	2	676,141	527,530	4	723,717	null	null	null	243	5	8	88,794	166,101	733,669	1,458,104	733,669	null	null	null	null	null	0.4841	0	-0.0764	0	1.0764	0.377	0	0.9457	0	0.0543	null	1	3	429,464	27,835	676,141	0.418	0.9619	0.0944	0.9579	0.5321	40.5	2.14	191	39.3	0.4953	-12.8	-2.14	-178	-39.3	0.5028	527,530	140,314	723,717	0.299	0.8122	0.0459	0.8949	0.9067	44.1	1.62	247	31.7	0.7133	-16.4	-1.62	-234	-31.7	0.2848	null	null	null	null	Average	null	null	null	null	Below Average	null	null	null	null	null	null	null	null	null	null	null	2	4	null	983	983	concentrated	0.0637	0.32	0	100	0	0	1,131	1,033	concentrated	0.0172	0.04	33.3	66.7	0	0	null	null	null	null	null	null	null	null	null	0	0.6902	0	0.3098	4	5	5	5	5	0	0	0	0	1	43.2	1.75	233	33.6	0.6588	-15.5	-1.75	-220	-33.6	0.3393	concentrated	0.0138	1.15	25	75	0	0	0	0.21	2.98	0.1878	0.7267	-0.1878	0.2733	100	101	72,875	58,826	94,647	0.2897	0.3792	0.0781	0.3835	0.9736	55.3	1.28	3,641	13.2	0.8696	-27.6	-1.28	-3,628	-13.2	0.1285	competitive	0	0.0002	1.28	0.01	0.2531	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	-13.4	-0.94	-518	0.5386	0.1819	0	0.1951	0	0.9881	644,915	0.1313	-20.4	695,148	634,293	44.5	8.8	0	46.7	791,802	4	49.9	4.43	149	21.1	0.7117	-22	null	-136	0.2864	0	1	0	0	1	4	89.67	-5.05	0	4	6.9	1,450	1,661	0.1607	1,607.45	0.03	395,382	93	0.0092	92.08	40.61	5,000	2.97	2,500	null	null	1.89	2,000	0	99.01	-43.1	-4.92	0	-100	-42.9	null	null	null	null	null	0.26	-214,292	0.293	0.48	429,462	0.418	0.03	-36,299	0.056	0.38	527,528	0.299	0	0	0	0	-2	0	-0.6	3	-0.75	0	5	0	-0.3	33,975	-0.323	0.25	72,875	0.29	0.9981	null	null	13	0	0	0	0	decelerating	0.03	0.23	1	1	1	13	0.242	0.25	null	0	0.197	655,507	693,414	null	2	6,258	accelerating	0.03	0	84.62
A2WCXLYY	Taqueria Los Gordos	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant	6698 N Winton Way, Winton, CA 95388	6698 N Winton Way	Atwater	California	null	null	95,388	US	true	37.38462	-120.613064	America/Los_Angeles	(209) 35-***	1	OPERATIONAL	true	true	Winton	true	Atwater	California	US	http	http://taquerialosgordos.com	taquerialosgordos.com	taquerialosgordos.com	com	3,499	2016-09-06	2026-09-06	GoDaddy.com, LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	2.56	847	{"1": 41, "2": 28, "3": 70, "4": 165, "5": 544}	Outdoor seating, Takeout, Dine-in	Fast service, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Healthy options, Late-night food, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dinner, Seating	Restroom, Wi-Fi	Casual, Cozy, Trendy	Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	5	2016-11-15	2025-11-06	3,430	152	57	3,430	3,430	152	152	https://www.instagram.com/taquerialosgordos	taquerialosgordos	https://www.facebook.com/p/taqueria-los-gordos-livingston-100064627196918	taqueria-los-gordos-livingston-100064627196918	https://twitter.com/taq_losgordos	taq_losgordos	https://www.tiktok.com/@taquerialosgordosbtx	taquerialosgordosbtx	https://www.linkedin.com/in/scheylee-rivera-82a4a821b	scheylee-rivera-82a4a821b	null	null	null	null	null	null	null	null	52	3.3	null	null	null	null	7	259	27	509	4.55	null	null	5.49	5.14	null	null	null	2026-04-07T04:38:32.231756+00:00	0.3	0.6	0.2	4,650.96	99.5	20.2343	0.12	51.2	97.6	42.9	0.6636	null	0.5792	0.6033	0.5729	0.8419	0.2819	0.0917	79	78.6	null	null	null	80	20	0	81.82	18.18	0	77.27	18.18	4.55	stable	stable	null	0.4	0.0063	0.5	5	11	22	-9.1	-9.1	-100	70.1	60.1	92	83	80.8	100	6	25	6	14,295	68,634	19,338	154,461	627,578	217,218	165,976	6	369,039	3	735,855	523,386	35	649,901	464,512	8	736,188	100	39	50	88,794	166,101	733,669	1,458,104	733,669	0.4442	0.1074	0.1076	-0.1074	0.4716	0.4915	0.5	0.463	-0.5	0.1162	0.3957	-0.0235	0.1557	0.0235	0.4235	7	2	34	369,039	30,586	735,855	0.4988	0.958	0.015	0.9682	0.8419	41.6	2.1	24	41.8	0.6091	28.5	0.46	823	1.1	0.0545	523,386	172,289	649,901	0.3048	0.7699	0.1428	0.8201	0.2819	44.2	1.48	416	27.5	0.5	25.9	1.08	431	15.4	0.1636	464,512	29,056	736,188	0.3751	Average	0.9602	0.0203	0.9941	0.0917	Below Average	48	2.48	78	55.2	Average	0.4339	22.1	0.08	769	-12.3	0.2297	3	35	8	360	222	concentrated	0.9464	0.64	50	50	0	0	3,611	2,641	competitive	0.0565	0.43	32.4	55.9	11.8	0	8,188	5,086	moderate	0.6094	0.02	28.6	57.1	14.3	0	-0.0216	0.1409	0.0216	0.4383	37	38	1	15	5	1	0.6316	0.8947	0.5789	0.7632	43.4	1.46	384	28.6	0.4767	26.7	1.1	463	14.3	0.1869	competitive	0.0562	2.17	35.1	54.1	10.8	0	0.8579	0.13	5.02	0.1586	0.6803	-0.1586	-0.1011	200	201	4,014	29,428	8,601	0.9604	0.7138	0.9164	0.719	0.7417	62.7	2.52	2,299	36.5	0.7686	7.4	0.04	-1,452	6.4	-0.105	competitive	0.0018	0.0005	0.64	0.03	0.8732	0.059	0.2307	-0.059	0.3485	791,801	41.1	0.94	531	20.4	0.4595	29	1.62	316	0.2041	0.9864	0.7306	0.8061	0.733	0.6798	10,444	0.8556	22.5	212,327	153,297	44.5	8.8	0	46.7	791,802	34	54.5	4.23	342	32.4	0.5354	23.8	0.02	400	0.1404	1	0.3333	0.8485	0.6061	0.6364	1	76.18	14.13	0.6667	34	11.57	864	1,878	0.4449	4,448.55	0.05	197,691	93	0.0116	116.3	8,956.14	3,333.33	31.89	285.71	3,713.1	1,250	31.59	263.16	0.03	49.75	-8.1	-1.76	109	-40.2	13.3	null	null	null	null	null	0.27	-314,606	0.427	0.49	369,038	0.499	0.21	-99,561	0.14	0.4	523,385	0.305	0.4	-247,968	0.337	0.44	464,511	0.375	0.06	-6	0.158	0.86	1	1	0.14	-11,886	0.12	0.87	4,014	0.96	0.6636	null	null	742	0.1	3	0.667	0.898	accelerating	0.1	0.7	3	3	5	23	0.834	0.839	0.839	0.667	0.898	104,497	109,172	109,042	2	532	accelerating	0.03	null	85.14

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All Restaurants in Merced (Metro), California, US

Free sample dataset from BeamStation

All Restaurants in Merced (Metro), California, US is a weekly‑updated collection of 250 restaurant profiles covering the Merced metropolitan area. Each record includes every available column from the source export, such as name, address, cuisine type, contact information, hours of operation, and any additional attributes provided by the data provider. The dataset is ideal for local analysts, market researchers, or developers building location‑based services who need a comprehensive, up‑to‑date view of dining establishments in Merced. Because the file is refreshed every week, users can track openings, closures, and changes in restaurant details without having to scrape multiple sources. The straightforward structure—one row per venue with all fields preserved—makes it easy to load into spreadsheets, databases, or analytical tools for tasks like competitive analysis, demand forecasting, or mapping applications. Access the dataset directly via the provided URL to begin working with the most recent Merced restaurant information.

Dataset Details

Field	Value
Full dataset	250 records
Sample size	25 records
Location	Merced, CA
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-merced-metro-california-us-155712")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 250 records and unmasked contact data is available at:

All Restaurants in Merced (Metro), California, US on BeamStation

License

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

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