Datasets:

beamstation
/

all-restaurants-in-sioux-falls-south-dakota-us-180438

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code float64	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 float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	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 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 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 float64	beam_rank_competition_1km_total float64	beam_rank_competition_1km_reviews float64	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 float64	beam_competitors_5km_competitor_count float64	beam_competitors_1km_rank_by_score float64	beam_competitors_1km_rank_by_rating float64	beam_competitors_1km_rank_by_reviews float64	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_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_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_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_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_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
WJX4V54R	The Burger Den	Food and Drink	Restaurants	Delivery Restaurant	Delivery Restaurant	4001 E 10th St, Sioux Falls, SD 57103	4001 E 10th St	Sioux Falls	South Dakota	null	null	57,103	US	true	43.544475	-96.676799	America/Chicago	(605) 22-***	0	CLOSED_TEMPORARILY	false	false	null	true	Sioux Falls	South Dakota	US	https	https://theburgerden.com	theburgerden.com	theburgerden.com	com	1,997	2020-10-16	2027-10-16	Network Solutions, LLC	null	null	null	true	false	1	1	{"1": 1, "2": 0, "3": 0, "4": 0, "5": 0}	No-contact delivery, Delivery, Takeout	null	null	null	null	null	null	null	null	null	null	null	false	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	2026-04-07T04:04:23.534794+00:00	0	null	5.5	8,322.33	349.3	171.9457	1.36	20	10	0	null	null	null	null	null	0.0756	0.4104	0.3687	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	25.4	19.5	0	50	50	100	521	984	1,254	1,786	3,358	4,568	653,832	1,098,675	1,317,576	705,343	521	491,371	24	388,078	548,124	118	483,861	565,873	122	385,221	53	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.2678	0.0813	0.3176	-0.0813	-0.3176	0.3944	0.0145	0.0797	-0.0145	-0.0797	0.3046	0.0533	0.2495	-0.0533	-0.2495	121	23	117	491,371	451,948	388,078	0.3357	0.3878	0.4793	0.215	0.0756	39.3	0.56	490	8.5	0.3077	-13.9	0.44	-489	-8.5	-0.3077	548,124	531,559	483,861	0.2724	0.2908	0.3615	0.3323	0.4104	43.6	0.52	685	9.9	0.5381	-18.2	0.48	-684	-9.9	-0.5381	565,873	685,177	385,221	0.2434	Below Average	0.0814	0.4868	0.1263	0.3687	Below Average	45.2	0.31	1,096	6.3	Below Average	0.5748	-19.8	0.69	-1,095	-6.3	-0.5748	24	118	122	577	5	competitive	0.0001	7.32	60.9	34.8	4.3	3,375	1,021	competitive	0	1.49	29.9	68.4	1.7	7,807	5,123	competitive	0	0.39	18.2	79.3	2.5	0.0831	0.2842	-0.0831	-0.2842	151	152	520	100	296	0.1925	0.8447	0.5388	0.0016	0.1584	44.7	0.49	1,061	10.4	0.5489	-19.3	0.51	-1,060	-10.4	-0.5489	competitive	0	0.69	19.9	78.1	2	0.4921	1.36	3.51	0.0524	0.3781	-0.0524	-0.3781	190	191	1,905	505	874	0.1705	0.7799	0.619	0.0004	0.1405	48	0.74	1,057	14.2	0.5995	-22.6	0.26	-1,056	-14.2	-0.5995	competitive	0	0.001	0.55	1.17	0.4879	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-15.7	0.06	-530	-0.4595	0.1312	0.5985	0.0937	0	0.0391	685,901	0.2601	-20.4	315,567	700,618	44.5	8.8	46.7	791,802	490	50.6	4.07	388	10.7	0.4251	-25.3	-3.07	-387	-0.4251	0.1104	0	0.0757	0	0.0409	435	55.82	-55.82	0	490	7.84	1,275	884	0.8322	8,322.33	2.44	4,100	4	0.2577	2,576.6	0	416.67	0	84.75	0	81.97	0	65.79	0	52.36	2.6	0	0	0	0	null	null	null	null	null	0.11	-66,080	0.096	0.39	491,371	0.336	-0.18	159,308	-0.203	0.3	548,124	0.272	-0.14	133,613	-0.168	0.27	565,873	0.243	0.47	-110	0.191	0.49	520	0.193	0.48	-312	0.168	0.49	1,905	0.171	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
MT9G2JHX	Hardee’s	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant, Hamburger restaurant	1010 E 10th St, Sioux Falls, SD 57103	1010 E 10th St	Sioux Falls	South Dakota	Whittier	null	57,103	US	true	43.547002	-96.713399	America/Chicago	(605) 33-***	2	CLOSED_TEMPORARILY	false	true	null	true	Sioux Falls	South Dakota	US	https	https://locations.hardees.com/sd/sioux-falls/1010-e-10th-st	locations.hardees.com/sd/sioux-falls/1010-e-10th-st	locations.hardees.com	com	10,051	1998-09-30	2026-09-29	GoDaddy.com, LLC	null	null	Fast-food chain serving fried chicken, big burgers & made-from-scratch breakfast biscuits.	true	true	2.08	726	{"1": 67, "2": 47, "3": 114, "4": 194, "5": 304}	Delivery, Drive-through, Takeout, Dine-in	null	null	Wheelchair accessible seating	Coffee, Late-night food	Breakfast, Lunch, Dinner, Dessert, Seating	null	null	Family-friendly	null	Debit cards, NFC mobile payments	Good for kids, Kids' menu	false	true	purchase_dataset@	true	true	5	2025-11-05	2026-02-14	153	52	24	153	153	52	52	https://www.instagram.com/hardees	hardees	https://www.facebook.com/hardees	hardees	https://twitter.com/hardees	hardees	null	null	https://www.linkedin.com/company/hardeesrestaurants	hardeesrestaurants	https://www.youtube.com/user/hardees	hardees	null	null	null	null	null	null	99,339	16.43	null	0.15	16.43	16.43	1,100	null	null	null	null	null	null	null	null	https://order.hardees.com/location/-sd-sioux-falls-1010-e-10th-st/menu	null	null	2026-04-07T00:20:29.145838+00:00	51.6	null	0	5,630.11	81.2	114.2534	2.2	41.6	95.4	31.1	0.1919	null	null	null	null	0.5803	0.6216	0.4163	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	0	null	null	null	51.2	19.5	92	67	50	46	157	804	252	388	2,811	642	186,932	887,602	267,691	200,329	157	575,911	38	464,571	454,089	101	301,567	543,165	101	365,167	36	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.2811	0.0647	0.2993	-0.0647	-0.2993	0.3032	0.0352	0.2319	-0.0352	-0.2319	0.3699	0.0887	0.3024	-0.0887	-0.3024	100	37	100	575,911	491,428	464,571	0.2243	0.3347	0.3768	0.2808	0.5803	37.4	0.49	415	10	0.5094	13.8	1.59	311	21.1	-0.3175	454,089	673,469	301,567	0.395	0.1045	0.6019	0.0815	0.6216	45.7	0.31	991	5.2	0.6006	5.5	1.77	-265	25.9	-0.4087	543,165	703,211	365,167	0.2732	Below Average	0.0592	0.5136	0.0289	0.4163	Below Average	46	0.27	1,139	3.8	Below Average	0.5917	5.2	1.81	-413	27.3	-0.3998	38	101	101	516	88	competitive	0.0452	11.78	56.8	43.2	0	2,895	1,027	competitive	0.0073	1.27	18	80	2	6,455	5,010	competitive	0.0063	0.32	14	84	2	0.1382	0.3831	-0.1382	-0.3831	100	101	58	74	175	0.9084	0.8866	0.7298	0.8835	0.2174	47.8	0.28	1,411	4.3	0.665	3.4	1.8	-685	26.8	-0.4731	competitive	0.0051	0.46	4	94	2	0.8483	2.05	2.48	0.0942	0.4058	-0.0942	-0.4058	100	101	187	378	496	0.9174	0.8351	0.7843	0.8191	0.2249	48.9	0.3	1,455	4.8	0.6956	2.3	1.78	-729	26.3	-0.5037	competitive	0.005	0.0005	1.04	0.63	0.8528	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	10.1	1.14	195	-0.2676	0.7863	0.6734	0.7709	0.6681	0.2294	167,577	0.7478	10.7	257,728	181,112	44.5	8.8	46.7	791,802	490	50.6	4.07	388	10.7	0.4251	7.4	-0.45	243	-0.2332	0.5767	0.1616	0.7342	0.8569	0.2495	207	55.82	-55.82	0	490	5.19	1,925	884	0.7327	7,327.09	1.28	7,791	4	0.1867	1,867.48	20.4	263.16	0.53	99.01	0.4	99.01	0.26	99.01	0.25	99.01	-14.1	-1.75	95	-36.6	0	null	null	null	null	null	-0.15	98,314	-0.122	0.3	575,911	0.224	-0.16	96,145	-0.122	0.37	454,089	0.395	-0.06	73,758	-0.09	0.28	543,165	0.273	0.38	-296	0.47	0.85	58	0.908	0.35	-919	0.417	0.85	187	0.917	0.1919	null	null	623	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
SRA684X9	Quiznos Sandwich Restaurants	Food and Drink	Restaurants	Sandwich shop	Sandwich shop, Takeout Restaurant	5239 26th St, Sioux Falls, SD 57106	5239 26th St	Sioux Falls	South Dakota	null	null	57,106	US	true	43.528699	-96.790074	America/Chicago	(605) 33-***	1	CLOSED_TEMPORARILY	false	true	null	true	Sioux Falls	South Dakota	US	null	null	null	null	null	null	null	null	null	null	null	Known for toasted, build-your-own subs, this counter-serve chain also sells soups, salads & more.	true	true	2	1	{"1": 0, "2": 1, "3": 0, "4": 0, "5": 0}	null	null	null	Wheelchair accessible entrance	Healthy options	Lunch, Dinner	null	Casual	null	null	null	Good for kids	false	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-06T23:52:50.317194+00:00	0	null	9.7	4,835.62	407.9	114.2534	2.21	40	10	0	-0.7339	null	null	null	null	0.4332	0.5827	0.461	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	0	null	null	null	24.9	19.5	0	33	50	44	519	944	1,252	1,784	3,235	4,564	653,262	1,063,565	1,316,595	704,757	519	572,029	19	264,570	422,974	101	210,123	571,099	101	492,044	39	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.2225	0.0873	0.2838	-0.0873	-0.2838	0.3924	0.036	0.1344	-0.036	-0.1344	0.4024	0.0689	0.3521	-0.0689	-0.3521	100	18	100	572,029	474,585	264,570	0.2293	0.3574	0.6449	0.2542	0.4332	37.5	0.52	630	9.4	0.4666	-12.6	1.48	-629	-9.4	-1.2005	422,974	726,281	210,123	0.4354	0.0384	0.7225	0.018	0.5827	46.3	0.21	1,184	3.2	0.5883	-21.4	1.79	-1,183	-3.2	-1.3222	571,099	685,177	492,044	0.2367	Below Average	0.0814	0.3448	0.064	0.461	Average	45	0.31	852	4.9	Below Average	0.6067	-20.1	1.69	-851	-4.9	-1.3406	19	101	101	419	9	competitive	0.0001	5.73	61.1	38.9	0	3,121	1,094	competitive	0	1.27	9	89	2	7,027	5,022	competitive	0	0.32	24	73	3	0.1382	0.3831	-0.1382	-0.3831	100	101	560	76	603	0.132	0.8835	0.0497	0.0683	0	47.8	0.28	1,411	4.3	0.665	-22.9	1.72	-1,410	-4.3	-1.3989	competitive	0	0.46	4	94	2	0.3328	2.05	2.48	0.0942	0.4033	-0.0942	-0.4033	100	101	1,958	390	2,138	0.1453	0.8291	0.0644	0.2053	0.0004	49	0.3	1,445	4.7	0.6946	-24.1	1.7	-1,444	-4.7	-1.4285	competitive	0	0.0005	1.04	0.63	0.3261	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-16.2	1.06	-530	-1.1934	0.1186	0.664	0.0937	0	0.0022	695,871	0.2747	-20.4	264,097	700,618	44.5	8.8	46.7	791,802	490	50.6	4.07	388	10.7	0.4251	-25.4	-2.07	-387	-1.159	0.1084	0.0348	0.0757	0	0	437	55.82	-55.82	0	490	5.19	1,925	884	0.7327	7,327.09	1.28	7,791	4	0.1855	1,854.5	0	526.32	0	99.01	0	99.01	0	99.01	0	99.01	-2	0	0	0	0	null	null	null	null	null	-0.02	104,322	-0.13	0.39	572,029	0.229	-0.14	113,042	-0.144	0.4	422,974	0.435	-0.12	64,549	-0.077	0.22	571,099	0.237	0.3	-49	0.097	0.33	560	0.132	0.28	-182	0.108	0.33	1,958	0.145	-0.7339	null	null	1	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
5X66YBGW	Long John Silver's	Food and Drink	Restaurants	Seafood restaurant	Seafood restaurant, Fast food restaurant	712 S Minnesota Ave, Sioux Falls, SD 57104	712 S Minnesota Ave	Sioux Falls	South Dakota	All Saints	All Saints	57,104	US	true	43.538818	-96.730954	America/Chicago	(605) 33-***	1	CLOSED_TEMPORARILY	false	true	null	true	Sioux Falls	South Dakota	US	https	https://ljsilvers.com	ljsilvers.com	ljsilvers.com	com	10,942	1996-04-19	2026-12-15	GoDaddy.com, LLC	null	null	Counter-serve chain offering fried fish & seafood combos, plus chicken & sides.	true	true	5	1	{"1": 0, "2": 0, "3": 0, "4": 0, "5": 1}	null	null	null	Wheelchair accessible entrance, Wheelchair accessible seating	Comfort food	Lunch, Dinner	null	Casual	null	null	null	Good for kids	false	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	2026-04-06T23:28:03.070409+00:00	0	null	3.2	7,327.09	246.3	114.2534	2.05	100	10	100	0.9613	null	null	null	null	0.5901	0.6411	0.3256	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	0	null	null	null	53.6	19.5	0	50	50	44	516	222	1,242	1,776	958	4,540	651,103	197,520	1,311,360	702,249	516	501,501	51	290,305	406,389	101	191,461	604,389	101	543,206	4	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.1731	0.0852	0.2106	-0.0852	-0.2106	0.426	0.0851	0.3046	-0.0851	-0.3046	0.4312	0.0626	0.3491	-0.0626	-0.3491	100	50	100	501,501	457,477	290,305	0.3222	0.3801	0.6104	0.4289	0.5901	39.1	0.55	598	13.5	0.5123	14.5	4.45	-597	86.5	0.449	406,389	691,601	191,461	0.4573	0.0805	0.7472	0.0415	0.6411	46.6	0.28	1,230	4.2	0.6066	7	4.72	-1,229	95.8	0.3547	604,389	716,706	543,206	0.1929	Average	0.043	0.2768	0.0234	0.3256	Average	43.7	0.23	715	3.5	Emerging	0.5591	9.9	4.77	-714	96.5	0.4022	51	101	101	606	37	competitive	0	15.92	54	44	2	3,169	1,056	competitive	0	1.27	12	86	2	6,050	5,006	competitive	0	0.32	26	71	3	0.1382	0.3831	-0.1382	-0.3831	100	101	32	39	603	0.9519	0.9379	0.0497	0.9969	0.9783	47.8	0.28	1,411	4.3	0.665	5.8	4.72	-1,410	95.7	0.2963	competitive	0	0.46	4	94	2	0.677	2.05	2.48	0.0842	0.4088	-0.0842	-0.4088	100	101	124	192	2,015	0.9448	0.9104	0.1161	0.9939	0.9756	49	0.3	1,435	4.8	0.6962	4.6	4.7	-1,434	95.2	0.2651	competitive	0	0.0005	1.04	0.63	0.6859	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	12.5	4.06	-530	0.5018	0.8314	0.903	0.0937	0.9938	0.9822	132,222	0.6316	79.6	72,259	700,618	44.5	8.8	46.7	791,802	490	50.6	4.07	388	10.7	0.4251	3.3	0.93	-387	0.5362	0.4683	0.6585	0.0757	0.9939	0.9857	261	55.82	-55.82	0	490	5.19	1,925	884	0.7327	7,327.09	1.28	7,791	4	0.1842	1,841.91	0	196.08	0	99.01	0	99.01	0	99.01	0	99.01	-2	0	0	0	0	null	null	null	null	null	0	28,888	-0.03	0.43	501,501	0.322	-0.17	120,210	-0.154	0.43	406,389	0.457	-0.08	56,522	-0.066	0.17	604,389	0.193	0.3	-452	0.72	0.68	32	0.952	0.31	-1,544	0.696	0.69	124	0.945	0.9613	null	null	1	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
V339WYBA	McDonald's	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant	721 E 8th St, Sioux Falls, SD 57103	721 E 8th St	Sioux Falls	South Dakota	Whittier	null	57,103	US	true	43.548324	-96.717307	America/Chicago	(605) 33-***	1	CLOSED_TEMPORARILY	false	true	null	true	Sioux Falls	South Dakota	US	http	http://mcdonalds.com	mcdonalds.com	mcdonalds.com	com	11,590	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	null	null	Classic, long-running fast-food chain known for its burgers, fries & shakes.	true	true	1.5	4	{"1": 1, "2": 0, "3": 1, "4": 1, "5": 1}	null	Fast service, Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Counter service, Dessert	null	Casual	Groups	null	Credit cards	Good for kids, High chairs, Kids' menu	false	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	https://mcdonalds.com/content/us/en/food/full_menu/full_menu_explorer.html	null	null	2026-04-06T23:28:02.714761+00:00	0	null	9.1	4,835.62	407.6	114.2534	2.21	30	23.3	25	0.0312	null	null	null	null	0.7539	0.4817	0.3804	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	0	null	null	null	29.7	19.5	0	50	50	44	491	901	1,174	1,691	3,104	4,264	626,128	1,006,669	1,245,957	674,977	491	486,511	69	374,392	505,948	101	341,536	536,787	101	341,062	43	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.2989	0.0815	0.2868	-0.0815	-0.2868	0.407	0.055	0.2552	-0.055	-0.2552	0.3136	0.063	0.2695	-0.063	-0.2695	100	68	100	486,511	441,183	374,392	0.3425	0.4023	0.4978	0.3388	0.7539	39.4	0.58	504	11.3	0.5683	-9.7	0.92	-500	13.7	-0.5371	505,948	708,720	341,536	0.3274	0.0596	0.5491	0.0382	0.4817	44.6	0.25	917	4.1	0.5581	-14.9	1.25	-913	20.9	-0.5269	536,787	690,400	341,062	0.2816	Average	0.0753	0.5455	0.0334	0.3804	Below Average	46.2	0.3	1,189	4	Below Average	0.5791	-16.5	1.2	-1,185	21	-0.5479	69	101	101	664	85	competitive	0.0001	21.65	48.5	50	1.5	3,275	1,013	competitive	0	1.27	24	75	1	6,375	5,032	competitive	0	0.32	15	82	3	0.1382	0.3831	-0.1382	-0.3831	100	101	508	81	571	0.2112	0.8758	0.1025	0.8711	0.1227	47.8	0.28	1,411	4.3	0.665	-18.1	1.22	-1,407	20.7	-0.6338	competitive	0	0.46	4	94	2	0.378	2.05	2.48	0.0942	0.4033	-0.0942	-0.4033	100	101	1,718	436	2,106	0.2497	0.8104	0.0818	0.8086	0.1157	49	0.3	1,445	4.7	0.6946	-19.3	1.2	-1,441	20.3	-0.6634	competitive	0	0.0005	1.04	0.63	0.3675	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-11.4	0.56	-527	-0.4283	0.2289	0.6218	0.1419	0.6364	0.1694	609,225	0.3207	4.6	298,608	672,093	44.5	8.8	46.7	791,802	63	50.4	3.82	392	4.4	0.3654	-14.4	-0.82	-388	-0.3342	0.1774	0.129	0.0968	0.9516	0.129	51	62.7	-62.7	0	63	5.19	1,925	884	0.7327	7,327.09	1.28	7,791	4	0.1855	1,854.5	0	144.93	0	99.01	0	99.01	0	99.01	0	99.01	-12.8	-1.75	0	-25	0	null	null	null	null	null	-0.19	174,865	-0.228	0.41	486,511	0.343	-0.14	98,602	-0.123	0.31	505,948	0.327	-0.04	64,255	-0.077	0.3	536,787	0.282	0.29	-72	0.13	0.38	508	0.211	0.27	-315	0.164	0.37	1,718	0.25	0.0312	null	null	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
M62RH9WT	Outback Steakhouse	Food and Drink	Restaurants	Steak house	"Steak house, American restaurant, Australian restaurant, Bar, Bar & grill, Gluten-free restaurant, (...TRUNCATED)	2411 S Carolyn Ave, Sioux Falls, SD 57106	2411 S Carolyn Ave	Sioux Falls	South Dakota	null	null	57,106	US	true	43.52449	-96.779326	America/Chicago	(605) 36-***	2	OPERATIONAL	true	true	null	true	Sioux Falls	South Dakota	US	https	https://locations.outback.com/south-dakota/sioux-falls/2411-south-carolyn-avenue	locations.outback.com/south-dakota/sioux-falls/2411-south-carolyn-avenue	locations.outback.com	com	10,529	1997-06-09	2026-12-19	MarkMonitor, Inc.	null	null	Boisterous Australian-themed chain serving steaks, seafood & other hearty steakhouse fare.	true	true	4.11	2,693	{"1": 174, "2": 105, "3": 243, "4": 531, "5": 1647}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Braille menu, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Healt(...TRUNCATED)	Lunch, Dinner, Catering, Dessert, Seating	Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi	Casual, Cozy, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations, Usually a wait	Checks, Debit cards	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	2	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/outbacksteakhouse.dallas.tx.4456	outbacksteakhouse.dallas.tx.4456	null	null	null	null	https://www.linkedin.com/company/outback-steakhouse	outback-steakhouse	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://outback.com/menu/sioux-falls	null	null	2026-04-06T22:59:44.763958+00:00	0	0	0.3	7,327.09	122.8	114.2534	2.01	82.2	100	29.2	0.5144	null	0.6459	0.4021	0.4255	0.3774	0.7043	0.348	82.3	71.3	null	null	null	83.33	16.67	0	70.97	29.03	0	72.13	27.87	0	stable	improving	null	11	0.2204	15.4	0	12	31	61	-22.6	-21.3	-100	54.8	9.5	16	67	80.5	44	67	636	90	137	2,266	197	77,890	700,717	103,761	83,995	67	374,530	30	31,821	422,974	101	252,041	591,798	101	545,507	9	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.1943	0.0518	0.232	-0.0518	0.4139	0.5723	0.0458	0.2432	-0.0458	0.4027	0.3828	0.0827	0.3818	-0.0827	0.2641	100	29	100	374,530	520,703	31,821	0.4913	0.2953	0.9573	0.1759	0.3774	41.5	0.44	1,390	7.6	0.45	13.3	3.67	1,303	21.6	0.0644	422,974	735,035	252,041	0.4354	0.0283	0.6672	0.0142	0.7043	46.3	0.18	1,090	2.8	0.6262	8.5	3.93	1,603	26.4	-0.1118	591,798	674,530	545,507	0.2091	Average	0.0952	0.2736	0.0682	0.348	Below Average	44.2	0.33	709	5	Emerging	0.5672	10.6	3.78	1,984	24.2	-0.0528	30	101	101	623	91	competitive	0.0626	9.23	41.4	55.2	3.4	2,904	1,029	competitive	0.0241	1.27	9	90	1	7,170	5,085	competitive	0.0366	0.32	28	69	3	0.1382	0.3831	-0.1382	0.2628	100	101	23	47	17	0.9658	0.9286	0.9752	0.8804	0.4922	47.8	0.28	1,411	4.3	0.665	7	3.83	1,282	24.9	-0.1506	competitive	0.0187	0.46	4	94	2	0.9575	2.05	2.48	0.0942	0.4125	-0.0942	0.2334	100	101	91	223	29	0.9609	0.9034	0.9878	0.816	0.4893	49	0.3	1,450	4.8	0.6955	5.8	3.81	1,243	24.4	-0.1811	competitive	0.0182	0.0005	1.04	0.63	0.9517	0.059	0.2307	-0.059	0.4152	791,801	41.1	0.94	531	20.4	0.4595	13.7	3.17	2,162	0.0549	0.8499	0.879	0.9724	0.6585	0.4939	117,710	0.8954	8.8	95,434	21,810	44.5	8.8	46.7	791,802	490	50.6	4.07	388	10.7	0.4251	14.5	0.04	653	0.0858	0.8282	0.3006	0.8753	0.9857	0.5542	85	55.82	21.4	0.5869	490	5.19	1,925	884	0.7327	7,327.09	1.28	7,791	4	0.1862	1,861.55	39.24	333.33	5.82	99.01	13.38	99.01	3.51	99.01	3.32	99.01	-17.2	0	1,652	-46.4	-59.5	null	null	null	null	null	-0.07	89,527	-0.115	0.57	374,528	0.491	-0.21	127,106	-0.163	0.38	422,971	0.435	-0.09	56,935	-0.067	0.19	591,794	0.209	0.32	-197	0.321	0.96	23	0.966	0.28	-528	0.244	0.95	91	0.961	0.5144	null	null	1,041	0	0	0	0	decelerating	0.07	0.47	2	2	18	70	0.439	0.452	0.454	0.2	0.524	417,455	437,538	435,431	5	20	decelerating	-0.33	null	76.27
6CTKMNCW	KFC Sioux Falls	Food and Drink	Restaurants	Restaurant	"Restaurant, Buffet restaurant, Caterer, Chicken restaurant, Fast food restaurant, Takeout Restauran(...TRUNCATED)	1200 S Minnesota Ave, Sioux Falls, SD 57105	1200 S Minnesota Ave	Sioux Falls	South Dakota	All Saints	All Saints	57,105	US	true	43.534683	-96.730893	America/Chicago	(605) 33-***	0	CLOSED_TEMPORARILY	false	false	null	true	Sioux Falls	South Dakota	US	null	null	null	null	null	null	null	null	null	null	null	Fast-food chain known for its buckets of fried chicken, plus wings & sides.	true	true	1.67	3	{"1": 2, "2": 0, "3": 0, "4": 1, "5": 0}	null	null	null	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible seating	null	Lunch, Dinner	null	Casual	Groups	null	null	Good for kids	false	false	purchase_dataset@	false	true	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-06T22:51:55.216578+00:00	0	null	6.3	7,327.09	247.1	114.2534	2.05	33.4	20.1	33.3	0.0721	null	null	null	null	0.5773	0.6988	0.2363	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	0	0	0	0	null	null	null	29.6	19.5	0	33	50	44	497	921	1,194	1,709	3,171	4,332	633,349	1,039,271	1,265,074	682,885	497	575,911	22	279,679	380,205	101	145,410	606,613	101	599,862	41	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.1557	0.0769	0.2527	-0.0769	-0.2527	0.336	0.0476	0.1535	-0.0476	-0.1535	0.4705	0.0956	0.3669	-0.0956	-0.3669	100	21	100	575,911	594,373	279,679	0.2243	0.1964	0.6246	0.2063	0.5773	37.4	0.32	611	8.3	0.5085	-7.8	1.35	-608	25	-0.4364	380,205	673,469	145,410	0.4919	0.1045	0.808	0.056	0.6988	47.1	0.31	1,370	4.6	0.6244	-17.5	1.36	-1,367	28.7	-0.5523	606,613	699,199	599,862	0.1899	Below Average	0.0643	0.2014	0.0521	0.2363	Average	43.6	0.28	560	4.6	Emerging	0.5226	-14	1.39	-557	28.7	-0.4505	22	101	101	468	5	competitive	0.0002	6.68	66.7	33.3	0	3,181	1,021	competitive	0	1.27	10	88	2	6,291	5,002	competitive	0.0001	0.32	28	69	3	0.1382	0.3831	-0.1382	-0.3831	100	101	510	79	580	0.2081	0.8789	0.087	0.8882	0.132	47.8	0.28	1,411	4.3	0.665	-18.2	1.39	-1,408	29	-0.5929	competitive	0	0.46	4	94	2	0.373	2.05	2.48	0.0842	0.4088	-0.0842	-0.4088	100	101	1,727	422	1,971	0.2471	0.8151	0.1331	0.8499	0.1235	49	0.3	1,435	4.8	0.6962	-19.4	1.37	-1,432	28.5	-0.6241	competitive	0	0.0005	1.04	0.63	0.3833	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	-11.5	0.73	-528	-0.3874	0.2261	0.6325	0.1302	0.6789	0.1808	610,543	0.3193	12.9	289,197	679,483	44.5	8.8	46.7	791,802	490	50.6	4.07	388	10.7	0.4251	-17.4	-1.57	-385	-0.353	0.184	0.0552	0.1145	0.8528	0.182	400	55.82	-55.82	0	490	5.19	1,925	884	0.7327	7,327.09	1.28	7,791	4	0.1842	1,841.91	0	454.55	0	99.01	0	99.01	0	99.01	0	99.01	-3.3	-0.33	0	0	0	null	null	null	null	null	-0.13	133,405	-0.169	0.34	575,911	0.224	-0.19	123,638	-0.159	0.47	380,205	0.492	-0.05	41,882	-0.046	0.16	606,613	0.19	0.32	-94	0.165	0.37	510	0.208	0.33	-377	0.194	0.38	1,727	0.247	0.0721	null	null	3	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
APBW6YKB	The Sandbar & Grill	Food and Drink	Restaurants	Bar & grill	Bar & grill, Family restaurant, Fine dining restaurant, Restaurant, Sports bar	2310 S Marion Rd Unit 100, Sioux Falls, SD 57106	2310 S Marion Rd Unit 100	Sioux Falls	South Dakota	null	null	57,106	US	true	43.524486	-96.790329	America/Chicago	(605) 27-***	2	CLOSED_TEMPORARILY	false	true	null	true	Sioux Falls	South Dakota	US	http	http://thesandbarsf.com	thesandbarsf.com	thesandbarsf.com	com	4,131	2014-12-15	2026-12-15	GoDaddy.com, LLC	null	null	Spacious sports bar with rustic-modern decor featuring a comfort food menu & outdoor seating.	true	true	2.74	1,135	{"1": 40, "2": 39, "3": 102, "4": 310, "5": 644}	Outdoor seating, Delivery, Takeout, Dine-in	"Fast service, Fireplace, Great beer selection, Great cocktails, Great wine list, Live music, Live p(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Food, Food at bar, Happy hour drinks, Happy hour fo(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	false	true	purchase_dataset@	true	true	3	2023-08-26	2023-10-30	955	890	12	955	955	890	890	https://www.instagram.com/thesandbarsf	thesandbarsf	https://www.facebook.com/groups/176314233473	groups/176314233473	null	null	https://www.tiktok.com/@thesandbar	thesandbar	null	null	null	null	null	null	null	null	null	null	917	0.49	null	null	null	null	634	272	0	0	null	null	null	null	null	https://order.online/store/the-sandbar--grill-464722	null	null	2026-04-06T21:43:11.450217+00:00	0.48	0	0.5	4,825.08	135.5	114.2534	2.19	54.8	100	44.1	0.6514	null	null	null	0.2462	0.1981	0.6121	0.4693	null	62.3	null	null	null	null	null	null	null	null	null	50	25	25	stable	stable	null	null	null	null	0	0	0	4	null	-100	null	50.9	19.5	40	67	50	44	90	582	138	204	2,102	340	108,018	626,882	149,434	116,913	90	587,037	20	310,455	439,038	101	215,851	568,615	101	487,242	24	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.2258	0.0773	0.3078	-0.0773	-0.3078	0.3547	0.0795	0.1629	-0.0795	-0.1629	0.392	0.0603	0.3387	-0.0603	-0.3387	100	19	100	587,037	502,873	310,455	0.2099	0.3191	0.5833	0.1438	0.1981	37.1	0.47	574	6.8	0.3878	13.8	2.27	561	37.3	0.2636	439,038	726,281	215,851	0.4149	0.0384	0.715	0.018	0.6121	46	0.21	1,170	3.2	0.5976	4.9	2.53	-35	40.9	0.0538	568,615	685,177	487,242	0.2401	Below Average	0.0814	0.3511	0.064	0.4693	Below Average	45.1	0.31	864	4.9	Below Average	0.6094	5.8	2.43	271	39.2	0.042	20	101	101	507	89	competitive	0.0943	6.05	63.2	36.8	0	2,961	1,060	competitive	0.0096	1.27	10	88	2	7,074	5,040	competitive	0.013	0.32	23	74	3	0.1382	0.3831	-0.1382	-0.3831	100	101	61	62	102	0.9037	0.9053	0.8432	0.9161	0.6786	47.6	0.25	1,402	3.8	0.6667	3.3	2.49	-267	40.3	-0.0153	competitive	0.008	0.46	5	93	2	0.886	2.05	2.47	0.0842	0.4074	-0.0842	-0.4074	100	101	203	308	217	0.9113	0.8665	0.906	0.8839	0.6607	49	0.3	1,456	4.8	0.693	1.9	2.44	-321	39.3	-0.0416	competitive	0.0077	0.0005	1.04	0.63	0.8963	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	9.8	1.8	604	0.1919	0.7797	0.7547	0.8666	0.7403	0.6624	172,662	0.7983	23.7	193,177	105,464	44.5	8.8	46.7	791,802	490	50.6	4.07	388	10.7	0.4251	7.9	0.18	556	0.2453	0.591	0.3476	0.8384	0.9591	0.7669	199	55.82	33.86	0.8569	490	5.19	1,925	884	0.7283	7,283.1	1.28	7,791	4	0.1869	1,868.77	88.88	500	0.92	99.01	1.68	99.01	0.64	99.01	0.6	99.01	-14.1	-1.56	191	-39.8	0	null	null	null	null	null	0.04	56,292	-0.065	0.35	587,037	0.21	-0.16	138,680	-0.177	0.39	439,038	0.415	-0.12	62,065	-0.073	0.23	568,615	0.24	0.3	-300	0.477	0.89	61	0.904	0.28	-926	0.421	0.9	203	0.911	0.6514	null	null	944	0	0	0	0	stable	0	0	0	0	0	6	null	null	null	0	0	null	null	null	19	55	stable	null	null	88.35
ZZAWA7J7	DaDa Gastropub	Food and Drink	Restaurants	Gastropub	Gastropub, Bar, Restaurant	402 N Main Ave, Sioux Falls, SD 57104	402 N Main Ave	Sioux Falls	South Dakota	Downtown	Downtown	57,104	US	true	43.551818	-96.727744	America/Chicago	(605) 44-***	0	OPERATIONAL	true	false	null	true	Sioux Falls	South Dakota	US	http	http://dadagastropub.com	dadagastropub.com	dadagastropub.com	com	2,006	2020-10-09	2030-10-09	GoDaddy.com, LLC	null	null	null	true	false	4.23	14	{"1": 0, "2": 0, "3": 1, "4": 0, "5": 13}	Curbside pickup, Takeout, Dine-in	null	null	null	"Alcohol, Arcade games, Beer, Cocktails, Dancing, Food, Food at bar, Happy hour drinks, Happy hour f(...TRUNCATED)	null	Restroom	null	null	null	null	null	false	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	https://dadagastropub.com/menu	https://google.com/maps/reserve/v/dine/c/wzpjhv44cn8?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/wzpjhv44cn8?source=pa&opi=79508299	2026-04-06T21:37:23.735813+00:00	0	0.49	5	4,835.62	406	114.2534	2.21	84.6	39.2	78.6	0.6014	null	0.6199	0.6199	0.6199	0.7452	0.4697	0.3677	81	81	null	null	null	90.91	0	9.09	90.91	0	9.09	90.91	0	9.09	stable	stable	null	0	0	0	0	11	11	11	100	300	-100	51.2	27.4	0	33	59.4	44	456	182	1,059	1,577	817	3,782	589,510	164,071	1,140,558	635,023	456	450,697	67	386,023	505,948	101	257,468	552,138	101	416,063	8	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.2669	0.0542	0.2499	-0.0542	0.37	0.4235	0.0665	0.2432	-0.0665	0.3767	0.345	0.0722	0.2785	-0.0722	0.3414	100	66	100	450,697	436,045	386,023	0.3899	0.4096	0.4821	0.425	0.7452	40.1	0.59	492	13.4	0.5648	11.1	3.64	-478	65.2	0.0366	505,948	713,559	257,468	0.3274	0.0534	0.66	0.0252	0.4697	44.6	0.24	1,079	3.6	0.5547	6.6	3.99	-1,065	75	0.0467	552,138	674,530	416,063	0.2615	Average	0.0952	0.4458	0.0521	0.3677	Below Average	45.7	0.33	1,027	4.6	Below Average	0.5744	5.5	3.9	-1,013	74	0.027	67	101	101	603	20	competitive	0.0004	21.01	42.4	56.1	1.5	3,336	1,084	competitive	0.0001	1.27	23	76	1	6,281	5,018	competitive	0.0001	0.32	18	79	3	0.1382	0.3831	-0.1382	0.2368	100	101	58	45	539	0.9084	0.9317	0.1646	0.9891	0.6009	47.8	0.28	1,411	4.3	0.665	3.4	3.95	-1,397	74.3	-0.0636	competitive	0.0001	0.46	4	94	2	0.6922	2.05	2.48	0.0942	0.4037	-0.0942	0.2162	100	101	187	221	2,076	0.9174	0.9043	0.0953	0.9861	0.5959	48.9	0.3	1,451	4.8	0.6968	2.3	3.93	-1,437	73.8	-0.0954	competitive	0.0001	0.0005	1.04	0.63	0.6668	0.059	0.2307	-0.059	0.3892	791,801	41.1	0.94	531	20.4	0.4595	10.1	3.29	-517	0.1419	0.7863	0.885	0.1989	0.9842	0.5949	167,577	0.6397	58.2	90,713	631,378	44.5	8.8	46.7	791,802	490	50.6	4.07	388	10.7	0.4251	7.1	0.93	-375	0.0749	0.5665	0.6585	0.2045	0.9877	0.5276	212	55.82	-55.82	0	490	5.19	1,925	884	0.7327	7,327.09	1.28	7,791	4	0.1862	1,862.37	0	149.25	0	99.01	0	99.01	0	99.01	0	99.01	-13.9	-0.62	1	-13.7	-42.1	null	null	null	null	null	-0.17	144,366	-0.188	0.42	450,697	0.39	-0.13	106,017	-0.133	0.35	505,948	0.327	-0.05	64,732	-0.077	0.27	552,138	0.262	0.19	-298	0.472	0.69	58	0.908	0.16	-942	0.427	0.67	187	0.917	0.6014	null	null	13	0.03	1	0	1	decelerating	0.03	0.23	1	1	12	12	0.507	0.515	0.517	0	1	253,363	266,224	265,236	1	1	decelerating	-0.04	null	9.09
M9V799HW	Applebee's Grill + Bar	Food and Drink	Restaurants	Restaurant	"Restaurant, American restaurant, Bar & grill, Diner, Family restaurant, Hamburger restaurant, Steak(...TRUNCATED)	4001 W 41st St, Sioux Falls, SD 57106	4001 W 41st St	Sioux Falls	South Dakota	null	null	57,106	US	true	43.510384	-96.777992	America/Chicago	(605) 36-***	2	null	true	true	null	true	Sioux Falls	South Dakota	US	https	https://restaurants.applebees.com/en-us/sd/sioux-falls/4001-west-41st-street-77006	restaurants.applebees.com/en-us/sd/sioux-falls/4001-west-41st-street-77006	restaurants.applebees.com	com	11,219	1995-07-20	2026-07-19	MarkMonitor, Inc.	null	null	Full-service chain bar & grill providing hearty American eats in an informal setting.	true	true	2.28	1,243	{"1": 112, "2": 56, "3": 136, "4": 324, "5": 629}	Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Great dessert, 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)	Breakfast, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet, Trendy	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	2025-08-18	2026-02-12	232	54	84	232	232	54	54	https://www.instagram.com/applebees	applebees	https://www.facebook.com/applebees	applebees	https://twitter.com/applebees	applebees	https://www.tiktok.com/@applebees	applebees	null	null	https://www.youtube.com/user/applebeeing	applebeeing	null	null	null	null	null	null	641,043	1.32	null	0.15	1.42	1.32	2,466	56,866	479	496,969	2.07	null	0.22	1.98	2.07	https://applebees.com/en/menu	null	null	2026-04-06T19:31:27.431541+00:00	333.01	0.4	0	7,428.13	48.9	114.2534	2.03	45.6	100	35.2	0.4855	null	0.5809	0.4757	0.455	0.1936	0.626	0.4667	79	72.8	null	null	null	80	20	0	76.47	23.53	0	74.42	23.26	2.33	stable	improving	null	6.2	0.1259	8.5	0	5	17	43	-41.2	-53.5	-100	57.4	27.4	80	67	79.9	44	52	735	66	107	2,611	146	60,054	818,523	78,188	64,826	52	604,163	53	168,077	488,527	101	277,090	589,089	101	514,097	32	567	1,445	2,090	5,342	733,669	1,458,104	733,669	0.199	0.0589	0.2665	-0.0589	0.3144	0.332	0.0677	0.1383	-0.0677	0.4426	0.3482	0.0565	0.2952	-0.0565	0.2857	100	52	100	604,163	681,702	168,077	0.1872	0.0826	0.7744	0.0867	0.1936	36.6	0.16	779	5.1	0.3859	20.8	2.12	464	30.1	0.0996	488,527	708,720	277,090	0.3502	0.0596	0.6342	0.0231	0.626	45	0.25	1,039	3.5	0.602	12.4	2.03	204	31.7	-0.1165	589,089	699,199	514,097	0.2126	Below Average	0.0643	0.3155	0.0598	0.4667	Below Average	44.3	0.28	794	4.8	Emerging	0.6086	13.1	2	449	30.4	-0.1231	53	101	101	517	116	competitive	0.0298	16.55	55.8	44.2	0	2,629	1,023	competitive	0.0118	1.27	20	78	2	6,976	5,053	competitive	0.0154	0.32	27	71	2	0.1382	0.3773	-0.1382	0.2036	100	101	13	69	94	0.9783	0.8944	0.8556	0.8944	0.4472	47.6	0.26	1,401	3.9	0.6684	9.8	2.02	-158	31.3	-0.1829	competitive	0.0088	0.46	5	93	2	0.9163	2.05	2.47	0.0942	0.4058	-0.0942	0.1751	100	101	57	353	189	0.9748	0.8469	0.9182	0.8552	0.4511	48.9	0.3	1,455	4.8	0.6956	8.5	1.98	-212	30.4	-0.2101	competitive	0.0085	0.0005	1.04	0.63	0.9194	0.059	0.2307	-0.059	0.3502	791,801	41.1	0.94	531	20.4	0.4595	16.3	1.34	712	0.026	0.8837	0.6951	0.8832	0.6911	0.4625	91,168	0.827	14.8	240,547	92,359	44.5	8.8	46.7	791,802	490	50.6	4.07	388	10.7	0.4251	18.3	-0.22	679	0.0568	0.9427	0.2168	0.9059	0.8671	0.499	27	55.82	26.96	0.6953	490	5.19	1,925	884	0.7277	7,277.49	1.28	7,791	4	0.1867	1,867.48	8.86	188.68	1.4	99.01	2.38	99.01	0.77	99.01	0.72	99.01	-20.8	-1.74	178	-39.9	-40.4	null	null	null	null	null	-0.06	107,870	-0.134	0.33	604,156	0.187	-0.16	134,672	-0.172	0.35	488,512	0.35	-0.13	72,886	-0.088	0.2	589,060	0.213	0.2	-71	0.112	0.92	13	0.978	0.18	-153	0.071	0.92	57	0.975	0.4855	null	null	1,067	0.03	1	0.4	0.539	decelerating	0.03	0.23	1	1	8	44	0.507	0.515	0.517	0.4	0.539	253,363	266,224	265,236	28	75	decelerating	-0.14	null	81.8

End of preview. Expand in Data Studio

All Restaurants in Sioux Falls, South Dakota, US

Free sample dataset from BeamStation

This dataset contains a complete export of every restaurant located in Sioux Falls, South Dakota, United States. It includes 559 records, each representing a distinct establishment, and provides all available columns for each profile—such as name, address, cuisine type, contact information, hours of operation, and any other attributes captured in the source. The data is refreshed on a weekly basis, ensuring that users have access to the most current listings. Researchers, market analysts, app developers, and local business owners can use this collection to study the dining landscape, perform competitive analysis, build location‑based services, or support urban planning initiatives. Because the file is a full city‑level export, it offers a granular view of the restaurant sector without any sampling or filtering. For direct access, visit the dataset page at https://beamstation.com/datasets/180438/.

Dataset Details

Field	Value
Full dataset	559 records
Sample size	55 records
Location	Sioux Falls
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-sioux-falls-south-dakota-us-180438")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 559 records and unmasked contact data is available at:

All Restaurants in Sioux Falls, South Dakota, US on BeamStation

License

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

Downloads last month: 34

Number of rows:

Total file size:

232 kB