Datasets:

beamstation
/

all-restaurants-in-shreveport-louisiana-us-189623

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	census_place float64	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age int64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning string	payments string	children string	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github 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	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d float64	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d float64	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_30d int64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio float64	beam_trends_sentiment_negative_ratio float64	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
CRRA2NXA	Wingstop	Food and Drink	Restaurants	Chicken wings restaurant	Chicken wings restaurant	6205 Westport Ave Ste 400, Shreveport, LA 71129	6205 Westport Ave Ste 400	Shreveport	Louisiana	Airport, Pines Road	Airport, Pines Road	71,129	US	true	32.447658	-93.866532	America/Chicago	(318) 82-***	2	null	true	Shreveport	Louisiana	US	https	https://wingstop.com/location/wingstop-513-shreveport-la-71129/menu	wingstop.com/location/wingstop-513-shreveport-la-71129/menu	wingstop.com	com	10,622	1997-03-01	2027-12-02	GoDaddy Corporate Domains, LLC	"purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purchase_dataset@wingstop.com, purcha(...TRUNCATED)	realdomain	11	9	2	Casual counter-serve chain serving a variety of chicken wings & sides.	3.05	459	{"1": 157, "2": 32, "3": 49, "4": 69, "5": 160}	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)	Comfort food, Late-night food, Quick bite, Small plates	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	true	purchase_dataset@	true	true	7	https://www.instagram.com/wingstop	wingstop	https://www.facebook.com/wingstop	wingstop	https://twitter.com/wingstop	wingstop	https://www.tiktok.com/@wingstop	wingstop	https://www.linkedin.com/company/wingstop-restaurants-inc-	wingstop-restaurants-inc-	https://www.youtube.com/wingstop	wingstop	null	null	null	null	https://www.pinterest.com/wingstop	wingstop	764,945	1.58	null	0.28	0.48	1.58	792	null	null	null	null	978,900	683	7,700,000	1.94	3.02	3.36	2.67	1.94	https://wingstop.com/location/wingstop-513-shreveport-la-71129/menu	null	null	2026-03-30T09:52:31.564668+00:00	477.33	0.49	0	4,543.52	58.6	172.6496	1.15	61	88.8	47.9	-0.0115	0.5	0.01	0.2642	0.0324	0.1189	0.0164	0.1356	50.5	51.6	100	0	0	50	50	0	63.64	36.36	0	46.88	40.63	12.5	improving	stable	0.49	-1.1	-0.0224	-2.1	1	4	11	32	64.3	45.1	96	83	54.3	64	236	1,423	355	3,235	19,174	4,612	247,706	1,285,388	368,922	266,198	236	564,543	40	214,687	745,414	36	735,204	615,217	101	580,288	314	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.176	0.1552	0.34	0.3448	-0.33	0.3289	0.2147	0.2585	0.2853	-0.2485	0.0134	0.0857	0.0547	0.4143	-0.0447	100	39	35	564,543	674,494	214,687	0.2298	0.0827	0.7072	0.0523	0.1189	60.8	3.46	530	65.3	0.3484	4.2	-0.41	-71	-17.4	-0.3599	745,414	730,927	735,204	0.0038	0.0223	0.0174	0.1671	0.0164	49.5	3.52	140	75.6	0.3252	15.5	-0.47	319	-27.7	-0.3367	615,217	629,779	580,288	0.1684	Below Average	0.1453	0.2168	0.0851	0.1356	Emerging	67.3	4.06	506	74.5	Emerging	0.4862	-2.3	-1.01	-47	-26.6	-0.4977	40	36	101	482	23	competitive	0.0217	12.41	12.8	23.1	64.1	0	3,729	1,584	competitive	0.0857	0.45	22.9	51.4	25.7	0	7,881	5,066	competitive	0.009	0.32	13	84	3	0.3547	0.532	0.1453	-0.522	100	101	390	779	263	0.5195	0.0512	0.6805	0.0573	0.0341	76.7	4.26	843	80.7	0.6149	-11.7	-1.21	-384	-32.8	-0.6264	competitive	0.0054	0.31	71	29	0.4273	1.16	4.09	0.2607	0.7998	0.2393	-0.7898	100	101	5,834	11,017	3,556	0.4914	0.0436	0.6912	0.0444	0.0357	83.3	4.67	1,201	92	0.8121	-18.3	-1.62	-742	-44.1	-0.8236	competitive	0.0038	0.0007	1	0.18	0.417	0.2094	0.3682	0.2906	-0.3582	828,388	62.9	3.88	394	76.6	0.4737	2.1	-0.83	65	-0.4852	0.4683	0.0436	0.6583	0.0434	0.0356	437,853	0.3979	-28.7	791,687	282,645	24.3	58.7	7.7	9.2	828,389	164	61.1	3.77	453	65.2	0.3057	3.9	-0.72	6	-0.3172	0.4724	0.1104	0.5153	0.1288	0.0736	86	55.9	7.1	0.362	164	5.33	1,876	585	0.4494	4,493.66	0.21	46,578	34	0.0258	257.75	4.72	250	73.52	277.78	0.81	99.01	0.29	99.01	0.15	99.01	-4.6	-0.01	5	-0.1	-21	null	null	null	null	null	-0.05	73,806	-0.098	0.33	564,543	0.23	0	3,808	-0.002	0.01	745,414	0.004	-0.02	21,997	-0.028	0.18	615,217	0.168	-0.01	-420,783	0.036	0.43	390	0.52	0.23	-670,905	0.323	0.42	5,834	0.491	-0.0115	100	0	459	0.1	3	0.667	0.59	stable	0.1	0.7	3	3	9	42	0.557	0.57	0.571	0.667	0.59	331,227	345,950	344,596	2	34	stable	0.03	null	63
XCK7LUXU	Chianti Restaurant	Food and Drink	Restaurants	Restaurant	Restaurant	6535 Line Ave, Shreveport, LA 71106	6535 Line Ave	Shreveport	Louisiana	Springlake, University Terrace	Springlake, University Terrace	71,106	US	true	32.446134	-93.745673	America/Chicago	(318) 86-***	2	null	true	Shreveport	Louisiana	US	http	http://chiantirestaurant.net	chiantirestaurant.net	chiantirestaurant.net	net	6,571	2008-04-03	2026-04-03	IONOS SE	null	null	0	0	0	"Fine-dining spot for Northern Italian fare offering live music on weekends & an adjacent cigar bar.(...TRUNCATED)	4.46	319	{"1": 16, "2": 10, "3": 15, "4": 48, "5": 224}	Takeout, Dine-in	Great cocktails, Great coffee, Great dessert, Great wine list, Live music, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Private dining room, (...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Cozy, Quiet, Romantic, Trendy, Upscale	Family-friendly, Groups	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards	High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/chiantis.restaurant	chiantis.restaurant	https://www.facebook.com/chiantishreveport	chiantishreveport	https://twitter.com/chiantiadelaide	chiantiadelaide	null	null	https://www.linkedin.com/in/nickmajaika	nickmajaika	null	null	null	null	null	null	null	null	261	8.88	null	null	null	null	67	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-03-24T00:59:56.800615+00:00	0.14	0.98	0.5	4,892.7	101.5	172.6496	1.16	89.2	83.5	87.1	0.7032	null	1	0.8099	0.7216	0.8879	0.5268	0.1882	100	86.1	null	null	null	100	0	0	83.33	0	16.67	84	8	8	stable	improving	null	13.9	0.2784	16.1	0	4	12	25	84.3	61.8	84	83	95.9	94	287	612	445	4,130	8,574	6,020	311,303	565,868	479,122	334,220	287	111,349	28	389,515	331,275	101	298,138	509,619	101	464,164	123	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.2845	0.2252	0.409	0.7748	0.4291	0.7286	0.3858	0.5531	0.6142	0.285	0.5223	0.3108	0.4952	0.6892	0.3429	100	27	100	111,349	117,995	389,515	0.8453	0.8318	0.47	0.7725	0.8879	70.4	4.34	408	82.5	0.6308	10.1	0.11	-93	4.5	0.0724	331,275	431,601	298,138	0.5513	0.4056	0.6003	0.3755	0.5268	74.3	4.2	775	79.1	0.5812	6.2	0.25	-460	7.9	0.122	509,619	615,963	464,164	0.3093	Strong	0.1627	0.3732	0.1172	0.1882	Average	73.2	4.09	745	75.8	Below Average	0.518	7.3	0.36	-430	11.2	0.1852	28	101	101	590	40	competitive	0.0278	8.59	3.7	11.1	59.3	25.9	3,071	1,049	competitive	0.004	1.27	0	1	82	17	7,442	5,205	competitive	0.0042	0.32	1	84	15	0.3547	0.532	0.6453	0.3061	100	101	37	315	320	0.9537	0.6073	0.6098	0.7195	0.7878	76.7	4.26	843	80.7	0.6149	3.8	0.19	-528	6.3	0.0883	competitive	0.0037	0.31	71	29	0.7466	1.16	4.09	0.252	0.791	0.748	0.0471	100	101	686	4,681	4,520	0.9389	0.5858	0.6069	0.6917	0.7537	83.4	4.67	1,197	91.9	0.8126	-2.9	-0.22	-882	-4.9	-0.1094	competitive	0.0026	0.0007	1	0.18	0.7334	0.2094	0.3682	0.7906	0.4699	828,388	62.9	3.88	394	76.6	0.4737	17.6	0.57	-79	0.2295	0.9334	0.5877	0.5671	0.6775	0.728	53,493	0.7198	10.4	334,289	357,969	24.3	58.7	7.7	9.2	828,389	567	59.7	4.22	304	76.6	0.4389	20.8	0.23	11	0.2643	0.9505	0.5442	0.6413	0.6643	0.7544	28	52.99	33.42	0.7067	567	5.33	1,876	585	0.4494	4,493.66	0.21	46,578	34	0.0257	257.08	7.72	357.14	0.16	99.01	0.18	99.01	0.14	99.01	0.07	99.01	5.6	0	2	0.1	4.6	null	null	null	null	null	0.14	-166,854	0.23	0.73	111,346	0.845	-0.02	31,971	-0.043	0.52	331,262	0.551	-0.02	33,282	-0.043	0.28	509,595	0.309	0.31	-421,136	0.47	0.75	37	0.954	0.55	-676,053	0.771	0.73	686	0.939	0.7032	100	0	315	0.13	4	0.789	0.642	accelerating	0.13	0.93	4	4	8	30	0.648	0.66	0.66	0.789	0.642	264,626	275,746	274,862	20	467	accelerating	0.1	null	86.41
57CRBR7L	IHOP	Food and Drink	Restaurants	Breakfast restaurant	"Breakfast restaurant, American restaurant, Brunch restaurant, Diner, Family restaurant, Lunch resta(...TRUNCATED)	8010 Youree Dr, Shreveport, LA 71115	8010 Youree Dr	Shreveport	Louisiana	Springlake, University Terrace	Springlake, University Terrace	71,115	US	true	32.430669	-93.711896	America/Chicago	(318) 79-***	1	null	true	Shreveport	Louisiana	US	https	https://restaurants.ihop.com/en-us/la/shreveport/breakfast-8010-youree-dr-1475	restaurants.ihop.com/en-us/la/shreveport/breakfast-8010-youree-dr-1475	restaurants.ihop.com	com	10,597	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.	3.98	1,116	{"1": 132, "2": 86, "3": 269, "4": 449, "5": 960}	Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fireplace, Great coffee, Great dessert, Great tea selection	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Happy hour food, Organic dishes, Quick bite, Salad bar, Vegetarian options	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating	Restroom	Casual, Cozy, Quiet, Trendy	College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Reservations required	Credit cards, Debit cards	Good for kids, Has changing table(s), High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/ihop	ihop	https://www.facebook.com/ihopbrooklyn253livingston	ihopbrooklyn253livingston	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	null	null	null	null	https://ihop.com/en/menu?storenumber=1475&action=viewmenu	null	null	2026-03-24T00:59:12.379800+00:00	403.33	1.47	0	4,528.75	81.2	172.6496	1.14	79.6	100	72	0.4806	null	0.4	0.4199	0.3639	0.1505	0.4926	0.2208	70	68.2	null	null	null	80	20	0	70.83	29.17	0	64.81	27.78	7.41	stable	stable	null	1.8	0.0361	2.6	0	5	24	54	78.7	64.5	68	100	72	94	31	1,095	33	309	15,380	367	39,836	1,017,078	49,750	42,870	31	453,961	47	282,274	386,490	101	424,144	493,312	101	485,732	256	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.2961	0.2502	0.4085	0.2498	-0.0085	0.4212	0.2446	0.2078	0.2554	0.1922	0.4645	0.3458	0.4828	0.1542	-0.0828	100	46	100	453,961	520,027	282,274	0.3775	0.2854	0.6153	0.2033	0.1505	63.3	3.81	480	71.7	0.3666	12.4	0.17	631	0.6	0.114	386,490	376,191	424,144	0.4781	0.4789	0.432	0.4405	0.4926	73	4.24	633	80	0.5725	2.7	-0.26	478	-7.7	-0.0919	493,312	585,331	485,732	0.331	Average	0.2013	0.3441	0.1543	0.2208	Average	73.8	4.14	710	77	Below Average	0.5341	1.9	-0.16	401	-4.7	-0.0535	47	101	101	537	4	competitive	0.0479	14.64	6.5	21.7	63	8.7	2,914	1,002	competitive	0.0172	1.27	0	8	73	19	7,813	5,011	competitive	0.0154	0.32	0	86	14	0.3497	0.5363	0.1503	-0.1363	100	101	103	576	35	0.8744	0.2951	0.9585	0.3927	0.522	76.7	4.26	843	80.8	0.6169	-1	-0.28	268	-8.5	-0.1363	competitive	0.013	0.31	71	29	0.7259	1.16	4.09	0.262	0.7906	0.238	-0.3906	100	101	2,055	8,405	343	0.8191	0.2657	0.9699	0.3472	0.4826	83.4	4.67	1,198	92	0.8105	-7.7	-0.69	-87	-19.7	-0.3299	competitive	0.0092	0.0007	1	0.18	0.6983	0.2094	0.3682	0.2906	0.0318	828,388	62.9	3.88	394	76.6	0.4737	12.8	0.1	717	0.0069	0.8072	0.2579	0.943	0.3226	0.4414	157,359	0.6831	-4.3	611,169	46,819	24.3	58.7	7.7	9.2	828,389	567	59.7	4.22	304	76.6	0.4389	16	-0.24	807	0.0417	0.8622	0.2155	0.9611	0.3357	0.4682	78	52.99	23.72	0.5371	567	5.33	1,876	585	0.4493	4,492.81	0.21	46,578	34	0.0257	257.12	22.97	212.77	2.97	99.01	2.38	99.01	1.69	99.01	0.84	99.01	-10	0	19	0	-30.1	null	null	null	null	null	-0.05	61,031	-0.082	0.42	453,960	0.378	0	-11,108	0.015	0.46	386,488	0.478	-0.01	16,975	-0.022	0.3	493,310	0.331	0.29	-423,976	0.394	0.73	103	0.874	0.51	-674,684	0.651	0.7	2,055	0.819	0.4806	100	0	1,111	0.2	6	0.75	0.75	accelerating	0.2	1.4	6	6	14	63	0.774	0.782	0.782	0.75	0.75	173,580	180,528	180,244	3	37	accelerating	0.17	null	76.71
L2XDZJNG	Copeland's of New Orleans	Food and Drink	Restaurants	Cajun restaurant	Cajun restaurant, Bar, Creole restaurant, Restaurant, Southern restaurant (US)	1665 E Bert Kouns Industrial Loop, Shreveport, LA 71105	1665 E Bert Kouns Industrial Loop	Shreveport	Louisiana	Springlake, University Terrace	Springlake, University Terrace	71,105	US	true	32.430989	-93.712974	America/Chicago	(318) 79-***	2	null	true	Shreveport	Louisiana	US	https	https://copelandsofneworleans.com	copelandsofneworleans.com	copelandsofneworleans.com	com	9,436	2000-05-30	2026-05-30	GoDaddy.com, LLC	purchase_dataset@alcopeland.com, purchase_dataset@copelandsatlanta.com	null	2	2	0	New Orleans-based chain offering a lengthy menu of Cajun-Creole classics, plus signature drinks.	3.97	1,154	{"1": 199, "2": 111, "3": 173, "4": 406, "5": 1346}	No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great tea selecti(...TRUNCATED)	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, Pr(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet, Romantic, Trendy, Upscale	College students, Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	5	https://www.instagram.com/copelands	copelands	https://www.facebook.com/copelandsneworleans	copelandsneworleans	https://twitter.com/copelands_nola	copelands_nola	null	null	https://www.linkedin.com/company/copelands-of-new-orleans	copelands-of-new-orleans	https://www.youtube.com/user/copelandsneworleans	copelandsneworleans	null	null	null	null	null	null	11,640	0.09	null	null	0.09	0.09	2,562	null	null	null	null	null	null	null	null	null	null	null	null	https://order.myguestaccount.com/menu/5ede7b7795b70176188b456d	https://google.com/maps/reserve/v/dine/c/lopvtxuux7o?source=pa&opi=79508299	https://google.com/maps/reserve/v/dine/c/lopvtxuux7o?source=pa&opi=79508299	2026-03-24T00:58:50.397051+00:00	6.2	7.82	0	4,495.52	81.2	172.6496	1.14	79.4	100	72.3	0.4301	null	0.7511	0.5312	0.6563	0.1492	0.5582	0.2136	87.6	82.8	null	null	null	85	10	5	75.68	21.62	2.7	82.02	15.73	2.25	stable	improving	null	4.8	0.0948	5.8	0	20	74	267	78.5	60.4	56	100	82.8	94	15	1,100	16	164	15,457	204	28,098	1,022,463	35,040	30,108	15	453,961	48	261,293	370,414	101	438,779	501,715	101	478,112	260	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.292	0.2502	0.3964	-0.2502	0.2865	0.4298	0.25	0.216	-0.25	0.4669	0.4728	0.3658	0.4918	-0.3658	0.1911	100	47	100	453,961	520,027	261,293	0.3775	0.2854	0.644	0.1992	0.1492	63.3	3.81	495	71.6	0.3659	11.8	0.15	641	0.4	0.0642	370,414	362,026	438,779	0.4997	0.4973	0.4125	0.4771	0.5582	73.4	4.25	616	80.5	0.5891	1.7	-0.29	520	-8.5	-0.159	501,715	592,280	478,112	0.3197	Average	0.1927	0.3545	0.1509	0.2136	Average	73.5	4.13	723	76.9	Below Average	0.5308	1.6	-0.17	413	-4.9	-0.1007	48	101	101	524	44	competitive	0.0465	14.96	6.4	21.3	66	6.4	2,980	1,005	competitive	0.0181	1.27	0	6	73	21	7,827	5,002	competitive	0.0155	0.32	0	87	13	0.3547	0.5335	-0.3547	0.1494	100	101	111	583	23	0.8646	0.2854	0.9732	0.3841	0.4622	76.7	4.26	843	80.8	0.6174	-1.6	-0.3	293	-8.8	-0.1873	competitive	0.0133	0.31	71	29	0.7234	1.16	4.09	0.2707	0.7961	-0.2707	-0.1132	100	101	2,217	8,515	240	0.8044	0.2567	0.9793	0.3416	0.4305	83.4	4.67	1,196	92.1	0.8119	-8.3	-0.71	-60	-20.1	-0.3818	competitive	0.0094	0.0007	1	0.18	0.6926	0.2094	0.3682	-0.2094	0.3147	828,388	62.9	3.88	394	76.6	0.4737	12.2	0.08	742	-0.0436	0.7894	0.2489	0.9548	0.3181	0.3898	171,986	0.6769	-4.6	618,464	37,134	24.3	58.7	7.7	9.2	828,389	567	59.7	4.22	304	76.6	0.4389	15.4	-0.26	832	-0.0088	0.8516	0.2102	0.9717	0.3304	0.4205	84	52.99	18.64	0.4788	567	5.33	1,876	585	0.4491	4,491.48	0.21	46,578	34	0.0257	256.77	21.66	208.33	3.28	99.01	2.39	99.01	1.77	99.01	0.89	99.01	-7.5	0.01	18	0.4	-35.3	null	null	null	null	null	-0.05	65,640	-0.088	0.43	453,960	0.378	0	-18,656	0.025	0.47	370,412	0.5	-0.01	22,900	-0.03	0.29	501,712	0.32	0.28	-421,062	0.381	0.72	111	0.865	0.5	-674,522	0.636	0.69	2,217	0.804	0.4301	null	null	1,136	1.07	32	1	0.963	stable	1.07	7.47	32	32	81	317	0.982	0.983	0.983	1	0.963	15,899	16,476	16,458	1	6	stable	0.47	null	71.63
87LKTK4P	Raising Cane's Chicken Fingers	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant, American restaurant, Chicken restaurant, Southern restaurant (US)	6823 Pines Rd, Shreveport, LA 71129	6823 Pines Rd	Shreveport	Louisiana	Airport, Pines Road	Airport, Pines Road	71,129	US	true	32.445034	-93.861932	America/Chicago	(318) 60-***	2	null	true	Shreveport	Louisiana	US	https	https://locations.raisingcanes.com/la/shreveport/6823-pines-road	locations.raisingcanes.com/la/shreveport/6823-pines-road	locations.raisingcanes.com	com	10,101	1998-08-04	2026-08-03	GoDaddy Corporate Domains, LLC	null	null	0	0	0	Fast-food chain specializing in fried chicken fingers, crinkle-cut fries & Texas toast.	4.41	1,132	{"1": 52, "2": 35, "3": 104, "4": 278, "5": 958}	Curbside pickup, Drive-through, Onsite services, Takeout, Dine-in	Active military discounts	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Late-night food, Quick bite	Lunch, Dinner, Counter service, Seating	Restroom	Casual	Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	1	null	null	https://www.facebook.com/raisingcaneschickenfingers	raisingcaneschickenfingers	null	null	null	null	null	null	null	null	null	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://raisingcanes.com/menu	null	null	2026-03-24T00:46:13.159106+00:00	0	2.18	1.9	4,460.99	408.8	172.6496	1.14	88.2	100	85.4	0.6832	1	0.7934	0.645	0.712	0.0924	0.0248	0.1233	89.7	85.6	100	0	0	90	0	10	82.35	14.71	2.94	86.17	10.64	3.19	improving	improving	0.2066	4.1	0.0814	4.8	1	10	34	94	77.7	67.2	8	83	89.4	94	23	676	24	252	9,435	299	34,340	619,286	42,732	36,886	23	557,199	38	215,967	744,214	40	730,691	621,109	101	583,489	137	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.1684	0.1452	0.3303	0.8548	0.3308	0.3272	0.1858	0.2684	0.8142	0.3927	0.0218	0.1282	0.0824	0.8718	0.5787	100	37	39	557,199	687,537	215,967	0.2396	0.0659	0.7055	0.0379	0.0924	61	3.39	529	63.7	0.3294	13.2	1.03	595	21.9	0.3538	744,214	715,353	730,691	0.0054	0.0421	0.0233	0.1497	0.0248	51.4	3.67	173	75.2	0.352	22.8	0.75	951	10.4	0.3312	621,109	637,643	583,489	0.1602	Below Average	0.135	0.2126	0.0768	0.1233	Emerging	66.9	4.04	499	74.1	Emerging	0.4776	7.3	0.38	625	11.5	0.2056	38	40	101	545	48	competitive	0.0543	11.78	13.5	18.9	67.6	0	3,569	1,050	competitive	0.143	0.5	20.5	51.3	25.6	2.6	7,573	5,306	competitive	0.022	0.32	14	84	2	0.3547	0.532	0.6453	0.1291	100	101	134	335	26	0.8354	0.5841	0.9683	0.678	0.7695	76.7	4.26	843	80.7	0.6149	-2.5	0.16	281	4.9	0.0683	competitive	0.0132	0.31	71	29	0.7999	1.16	4.09	0.252	0.7994	0.748	-0.1383	100	101	2,490	4,981	309	0.7805	0.5593	0.9731	0.6475	0.7285	83.3	4.67	1,203	91.9	0.809	-9.1	-0.25	-79	-6.3	-0.1258	competitive	0.0093	0.0007	1	0.18	0.7719	0.2094	0.3682	0.7906	0.2929	828,388	62.9	3.88	394	76.6	0.4737	11.3	0.54	730	0.2095	0.7622	0.5609	0.9493	0.6316	0.698	194,464	0.758	9	356,797	41,597	24.3	58.7	7.7	9.2	828,389	164	61.1	3.77	453	65.2	0.3057	13.1	0.65	671	0.3775	0.8896	0.7914	0.9632	0.8589	0.8957	19	55.9	32.72	0.9202	164	5.33	1,876	585	0.4494	4,493.66	0.21	46,578	34	0.0258	258.23	29.45	263.16	204.45	250	4.86	99.01	1.73	99.01	0.86	99.01	-1.1	0.01	13	0.1	-28.2	null	null	null	null	null	-0.05	82,199	-0.109	0.33	557,199	0.24	-0.01	4,416	-0.003	0.02	744,214	0.005	-0.02	23,784	-0.031	0.17	621,109	0.16	0.36	-421,039	0.352	0.8	134	0.835	0.58	-674,249	0.612	0.77	2,490	0.781	0.6832	100	0	1,124	0.3	9	0.974	0.953	accelerating	0.3	2.1	9	9	21	113	0.873	0.878	0.878	0.974	0.953	101,285	105,220	105,139	2	43	accelerating	0.2	null	88.62
Y2V63UT5	Popeyes Louisiana Kitchen	Food and Drink	Restaurants	Chicken restaurant	Chicken restaurant, Cajun restaurant, Fast food restaurant, Restaurant, Seafood restaurant	4459 Pines Rd, Shreveport, LA 71119	4459 Pines Rd	Shreveport	Louisiana	Western Hills and Yarborough Subdivision	Western Hills and Yarborough Subdivision	71,119	US	true	32.453441	-93.86514	America/Chicago	(318) 63-***	2	null	true	Shreveport	Louisiana	US	https	https://popeyes.com/store-locator/store/restaurant_83494	popeyes.com/store-locator/store/restaurant_83494	popeyes.com	com	10,491	1997-07-10	2027-07-09	CSC Corporate Domains, Inc.	"purchase_dataset@whopper.com, purchase_dataset@popeyes.com, purchase_dataset@abmc-us.com, purchase_(...TRUNCATED)	realdomain	6	1	5	Louisiana-inspired fast-food chain known for its crispy fried chicken, chicken sandwiches & fries.	3.35	1,178	{"1": 307, "2": 126, "3": 180, "4": 263, "5": 542}	Outdoor seating, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Late-night food, Quick bite, Small plates	Lunch, Dinner, Counter service, Dessert, Seating	Restroom, Wi-Fi	Casual, Trendy	College students, Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	8	https://www.instagram.com/popeyes	popeyes	https://www.facebook.com/popeyes	popeyes	https://twitter.com/popeyes	popeyes	https://www.tiktok.com/@popeyes	popeyes	https://www.linkedin.com/company/popeyes-louisiana-kitchen	popeyes-louisiana-kitchen	https://www.youtube.com/user/popeyes	popeyes	https://github.com/popeyes-secret-menu-discover-food	popeyes-secret-menu-discover-food	null	null	https://www.pinterest.com/popeyes	popeyes	568,220	0.98	null	0.54	0.98	0.98	1,132	null	null	null	null	311,000	547	1,600,000	0.9	4.97	0.14	0.9	0.9	https://popeyes.com/explore-menu	null	null	2026-03-24T00:29:22.008079+00:00	302.89	3.42	0	4,533.67	50.8	172.6496	1.14	67	100	54.6	0.1268	0.8333	0.6389	0.1744	0.0006	0.0453	0.0341	0.1139	81.9	50	100	0	0	83.33	16.67	0	57.45	38.3	4.26	49.43	47.13	3.45	improving	improving	0.1944	31.9	0.6383	63.8	3	18	47	87	77.3	70.1	92	100	75.5	94	7	1,357	8	111	18,493	134	22,926	1,241,901	28,705	24,429	7	571,577	31	145,585	741,824	45	732,007	621,109	101	577,759	304	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.1706	0.1552	0.3183	0.7198	0.2567	0.3449	0.15	0.2515	0.725	0.3235	0.0319	0.1477	0.1111	0.7273	0.4639	100	30	44	571,577	696,094	145,585	0.2204	0.0546	0.8014	0.0211	0.0453	60.6	3.33	593	60.3	0.2735	13.5	0.03	577	-5.6	-0.1467	741,824	690,967	732,007	0.0085	0.0734	0.0216	0.3617	0.0341	53.5	3.8	165	78.9	0.3706	20.6	-0.44	1,005	-24.2	-0.2438	621,109	637,643	577,759	0.1602	Below Average	0.135	0.2202	0.073	0.1139	Emerging	66.9	4.04	512	73.9	Emerging	0.4706	7.2	-0.68	658	-19.2	-0.3438	31	45	101	527	74	competitive	0.0617	9.55	13.3	23.3	63.3	0	3,147	1,027	competitive	0.1388	0.56	15.9	47.7	34.1	2.3	8,035	5,310	competitive	0.0224	0.32	15	83	2	0.346	0.5346	0.529	0.0404	100	101	137	741	10	0.828	0.0927	0.9878	0.1988	0.2366	76.7	4.27	842	81	0.6204	-2.6	-0.91	328	-26.3	-0.4936	competitive	0.0137	0.31	71	29	0.6554	1.16	4.09	0.262	0.791	0.613	-0.216	100	101	2,570	10,544	127	0.7745	0.0837	0.989	0.169	0.2081	83.4	4.67	1,198	92	0.8131	-9.3	-1.31	-28	-37.3	-0.6863	competitive	0.0097	0.0007	1	0.18	0.6316	0.2094	0.3682	0.6656	0.2068	828,388	62.9	3.88	394	76.6	0.4737	11.2	-0.52	776	-0.3469	0.7592	0.0793	0.9671	0.1514	0.1841	196,961	0.6176	-21.9	761,320	27,013	24.3	58.7	7.7	9.2	828,389	567	59.7	4.22	304	76.6	0.4389	14.4	-0.86	866	-0.3121	0.8127	0.0671	0.9876	0.1837	0.2332	105	52.99	7.55	0.4117	567	5.33	1,876	585	0.449	4,489.67	0.21	46,578	34	0.0257	257.25	38.05	322.58	192.76	222.22	5	99.01	1.88	99.01	0.94	99.01	-3.8	0.01	15	0.1	-26.9	null	null	null	null	null	-0.08	129,434	-0.173	0.34	571,576	0.22	-0.01	4,461	-0.003	0.03	741,823	0.009	-0.02	25,695	-0.034	0.17	621,106	0.16	0.21	-421,036	0.344	0.66	137	0.828	0.44	-674,169	0.606	0.63	2,570	0.775	0.1268	100	0	1,170	0.47	14	1	0.92	accelerating	0.47	3.27	14	14	33	102	0.937	0.94	0.939	1	0.92	52,879	54,947	54,954	1	26	accelerating	0.2	null	60.54
AMXYMDAS	Sabores Dominican Bar & Grill Restaurant	Food and Drink	Restaurants	Bar & grill	Bar & grill, Bar, Restaurant	820 Shreveport Barksdale Hwy, Shreveport, LA 71105	820 Shreveport Barksdale Hwy	Shreveport	Louisiana	Broadmoor, Anderson Island, Shreve Isle	Broadmoor, Anderson Island, Shreve Isle.	null	US	true	32.481669	-93.713407	America/Chicago	(318) 35-***	2	null	true	Shreveport	Louisiana	US	https	https://saboresdominicanbargrillrestaurantla.com	saboresdominicanbargrillrestaurantla.com	saboresdominicanbargrillrestaurantla.com	com	742	2024-03-19	2027-03-19	GoDaddy.com, LLC	null	null	0	0	0	Dominican classics, plus casual American grub, served in a modest cafe with a convivial vibe.	4.46	257	{"1": 17, "2": 6, "3": 12, "4": 29, "5": 191}	Delivery, Takeout, Dine-in	Fast service, Fireplace, Live music, Live performances, Serves local specialty, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Comfort food, Food, Food at bar, Hard liquor, Quick bite, Small plates, W(...TRUNCATED)	Lunch, Dinner, Dessert, Table service	Restroom	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Kids' menu	true	purchase_dataset@	true	true	1	https://www.instagram.com/saboresbarandgrill	saboresbarandgrill	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	216	2.31	null	null	null	null	20	null	null	null	null	null	null	null	null	null	null	null	null	https://saboresdominicanbargrillrestaurantla.com	null	null	2026-03-20T21:34:24.625080+00:00	0.12	0.49	1.6	4,564.04	409.1	172.6496	1.16	89.2	80.4	86.4	0.7591	-1	0.2324	0.549	0.5655	0.2353	0.6437	0.1626	61.6	78.3	0	100	0	50	25	25	76.92	15.38	7.69	77.5	17.5	5	declining	declining	-1.2324	-16.7	-0.3331	-21.3	1	4	13	40	73.3	42.8	48	83	70.7	86	311	613	496	4,644	8,591	6,922	347,129	566,635	543,498	372,730	311	416,468	32	393,928	239,488	101	280,207	512,173	101	469,320	124	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.2793	0.2583	0.389	-1.2583	-0.0031	0.4179	0.2661	0.3063	-1.2661	0.0796	0.6171	0.2692	0.5422	-1.2692	-0.1563	100	31	100	416,468	465,413	393,928	0.428	0.3583	0.464	0.4525	0.2353	64	3.88	405	76.6	0.4031	10.8	0.58	-148	9.8	0.356	239,488	332,976	280,207	0.6728	0.5357	0.6243	0.5056	0.6437	76.1	4.27	794	80.9	0.6116	-1.3	0.19	-537	5.5	0.1475	512,173	620,926	469,320	0.3061	Average	0.1565	0.3662	0.1041	0.1626	Average	73.1	4.08	737	75.3	Below Average	0.5038	1.7	0.38	-480	11.1	0.2553	32	101	101	692	2	competitive	0.02	9.87	9.7	22.6	61.3	6.5	3,851	1,003	competitive	0.0032	1.27	0	0	74	26	6,861	5,001	competitive	0.0035	0.32	1	78	21	0.3547	0.532	-1.3547	-0.1461	100	101	116	310	344	0.8537	0.6183	0.5817	0.7049	0.8585	76.7	4.26	843	80.7	0.6149	-1.9	0.2	-586	5.7	0.1442	competitive	0.003	0.31	71	29	0.7015	1.16	4.09	0.262	0.7866	-1.262	-0.4007	100	101	2,328	4,579	5,053	0.7953	0.594	0.5612	0.6706	0.8311	83.4	4.67	1,198	92	0.8133	-8.6	-0.21	-941	-5.6	-0.0542	competitive	0.0021	0.0007	1	0.18	0.6647	0.2094	0.3682	-1.2094	0.0177	828,388	62.9	3.88	394	76.6	0.4737	11.9	0.58	-137	0.2854	0.7803	0.5965	0.5204	0.6583	0.8111	179,432	0.6472	9.8	327,240	396,571	24.3	58.7	7.7	9.2	828,389	94	55.1	4.39	92	80.9	0.4683	19.7	0.07	165	0.2908	0.9355	0.4301	0.9032	0.5484	0.7634	7	51.61	40.36	0.6774	94	5.33	1,876	585	0.4494	4,493.66	0.21	46,578	34	0.0257	257.16	4.02	312.5	0.1	99.01	0.12	99.01	0.09	99.01	0.05	99.01	8	-0.03	8	-1.2	-9.2	null	null	null	null	null	-0.02	9,941	-0.013	0.42	416,468	0.428	0	1,030	-0.003	0.62	239,488	0.673	-0.02	28,698	-0.037	0.28	512,173	0.306	0.26	-421,057	0.37	0.7	116	0.854	0.48	-674,411	0.627	0.66	2,328	0.795	0.7591	0	100	251	0.07	2	0.4	0.534	stable	0.07	0.47	2	2	6	43	0.439	0.452	0.454	0.4	0.534	417,455	437,538	435,431	2	54	stable	0	null	91.97
LRXD675G	Superior's Steakhouse	Food and Drink	Restaurants	Steak house	Steak house	855 Pierremont Rd #120, Shreveport, LA 71106	855 Pierremont Rd #120	Shreveport	Louisiana	Cedar Grove, Lynbrook	Ceder Grove, Lynbrook	71,106	US	true	32.453517	-93.747824	America/Chicago	(318) 21-***	4	null	true	Shreveport	Louisiana	US	http	http://superiorssteakhouse.com	superiorssteakhouse.com	superiorssteakhouse.com	com	8,678	2002-06-27	2026-06-27	GoDaddy.com, LLC	purchase_dataset@superiorssteakhouse.com, purchase_dataset@superiorssteakhouse.com	realdomain	2	2	0	"Polished chophouse furnishing classic cuts & fine wines in a dark-wood setting with outdoor tables.(...TRUNCATED)	4.42	904	{"1": 57, "2": 34, "3": 47, "4": 109, "5": 671}	Outdoor seating, Onsite services, Takeout, Dine-in	"Fast service, Fireplace, Great beer selection, Great cocktails, Great coffee, Great dessert, Great (...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Hard liquor, Healthy options, Private dining r(...TRUNCATED)	Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Cozy, Romantic, Trendy, Upscale	Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	4	https://www.instagram.com/superiorssteakhouse	superiorssteakhouse	null	null	https://twitter.com/superiorssteak	superiorssteak	https://www.tiktok.com/@superiorssteakhou	superiorssteakhou	https://www.linkedin.com/company/superiors-steakhouse	superiors-steakhouse	null	null	null	null	null	null	null	null	2,555	0.34	null	0.34	0.34	0.34	676	null	null	null	null	75	39	82	1.13	2.67	0.81	1.09	1.13	https://superiorssteakhouse.com/menu	https://opentable.com/restaurant/profile/2219	https://opentable.com/restaurant/profile/2219	2026-03-20T20:18:51.685830+00:00	1.36	0.74	0.1	4,554.74	101.2	172.6496	1.15	88.4	98.6	85	0.6955	1	0.7727	0.9074	0.6768	0.8341	0.4813	0.1723	88.6	83.8	100	0	0	90.91	9.09	0	96.3	3.7	0	84.81	13.92	1.27	improving	improving	0.2273	4.8	0.0959	5.7	1	11	27	79	80.3	35.1	72	100	88.6	86	90	664	136	1,196	9,280	1,704	116,154	609,440	161,574	125,740	90	89,596	26	289,422	326,653	101	294,347	507,047	101	457,704	136	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.2866	0.2227	0.4272	-0.2227	0.3805	0.7577	0.4467	0.51	-0.4467	0.2977	0.516	0.3083	0.4919	-0.3083	0.3158	100	25	100	89,596	176,073	289,422	0.8756	0.7525	0.6057	0.6724	0.8341	71.3	4.25	475	80.5	0.5999	9.9	0.17	429	4.5	0.0953	326,653	457,743	294,347	0.5573	0.3717	0.6053	0.3278	0.4813	74.4	4.18	779	78.4	0.5696	6.8	0.24	125	6.6	0.1256	507,047	620,926	457,704	0.3128	Strong	0.1565	0.3819	0.1065	0.1723	Average	73.3	4.08	755	75.4	Below Average	0.5094	7.9	0.34	149	9.6	0.1858	26	101	101	367	74	competitive	0.0708	7.96	4	12	56	28	3,307	1,252	competitive	0.0115	1.27	0	1	82	17	7,505	5,020	competitive	0.0118	0.32	1	82	17	0.3547	0.5323	-0.3547	0.2754	100	101	25	335	98	0.9695	0.5841	0.8817	0.6683	0.7817	76.6	4.26	845	80.7	0.6148	4.6	0.16	59	4.3	0.0804	competitive	0.0106	0.31	72	28	0.8276	1.16	4.08	0.252	0.7968	-0.252	0.0109	100	101	531	4,981	1,308	0.9527	0.5593	0.8861	0.6308	0.7469	83.3	4.67	1,202	91.9	0.8096	-2.1	-0.25	-298	-6.9	-0.1144	competitive	0.0075	0.0007	1	0.18	0.8147	0.2094	0.3682	-0.2094	0.4395	828,388	62.9	3.88	394	76.6	0.4737	18.3	0.54	510	0.2215	0.947	0.5609	0.8387	0.6136	0.7159	42,345	0.7987	8.4	356,797	133,382	24.3	58.7	7.7	9.2	828,389	567	59.7	4.22	304	76.6	0.4389	21.5	0.2	600	0.2563	0.9647	0.5194	0.894	0.6113	0.7473	20	52.99	35.51	0.7721	567	5.33	1,876	585	0.4504	4,503.85	0.21	46,578	34	0.0258	258.04	50.13	384.62	1.31	99.01	1.4	99.01	1.12	99.01	0.56	99.01	0.1	0	8	0.2	-48.8	null	null	null	null	null	0	-19,559	0.027	0.76	89,595	0.876	-0.01	19,917	-0.027	0.52	326,649	0.557	-0.02	37,575	-0.05	0.29	507,040	0.313	0.39	-421,148	0.486	0.83	25	0.97	0.62	-676,208	0.784	0.81	531	0.953	0.6952	null	null	899	0.1	3	0.429	0.29	decelerating	0.1	0.7	3	3	15	95	0.557	0.57	0.571	0.429	0.29	331,227	345,950	344,596	5	62	decelerating	-0.2	null	88.5
ARC6Z9AN	William B's Steakhouse	Food and Drink	Restaurants	Steak house	Steak house	315 Clyde Fant Pkwy, Shreveport, LA 71101	315 Clyde Fant Pkwy	Shreveport	Louisiana	Downtown Riverfront	Downtown Riverfront	71,101	US	true	32.518172	-93.745557	America/Chicago	(877) 42-***	4	null	true	Shreveport	Louisiana	US	https	https://samstownshreveport.boydgaming.com/dine/william-bs-steakhouse-sh	samstownshreveport.boydgaming.com/dine/william-bs-steakhouse-sh	samstownshreveport.boydgaming.com	com	10,896	1996-05-31	2026-05-30	GoDaddy.com, LLC	null	null	0	0	0	Prime cuts of beef in elegant contemporary surrounds from a steakhouse within a hotel & casino.	4.1	114	{"1": 15, "2": 2, "3": 10, "4": 15, "5": 71}	Takeout, Dine-in	Great beer selection, Great cocktails, Great coffee, Great dessert, Great wine list	Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Private dining room, Small plates, Veg(...TRUNCATED)	Dinner, Dessert, Seating, Table service	Restroom	Cozy, Quiet, Romantic, Trendy	Family-friendly, Groups, Tourists	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs	true	purchase_dataset@	true	true	3	null	null	https://www.facebook.com/samstown	samstown	null	null	null	null	https://www.linkedin.com/company/samstownshreveport	samstownshreveport	https://www.youtube.com/samstownshreveport	samstownshreveport	null	null	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://opentable.com/r/william-bs-steakhouse-shreveport	https://opentable.com/r/william-bs-steakhouse-shreveport	2026-03-20T20:17:13.854497+00:00	0	0.98	2.5	4,493.66	135.6	172.6496	1.16	82	68.7	75.4	0.5371	1	0.2	0.2	0.154	0.1431	0.3355	0.4285	60	57.7	100	0	0	60	40	0	60	40	0	55.56	44.44	0	improving	stable	0.8	2.3	0.046	4	2	5	5	9	68.8	61.8	24	83	66.2	86	399	1,000	717	6,193	14,220	10,139	456,318	929,822	767,738	490,947	399	617,256	63	612,197	409,097	101	347,221	406,932	101	433,675	231	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.4025	0.3317	0.4936	0.6683	-0.4936	0.2059	0.0847	0.2177	0.9153	-0.2177	0.4284	0.2408	0.4867	0.7592	-0.4867	100	62	100	617,256	505,090	612,197	0.1597	0.3049	0.1686	0.2848	0.1431	59.1	3.83	246	73.5	0.3626	9.3	0.27	-132	1.9	0.1703	409,097	516,378	347,221	0.4481	0.2958	0.5349	0.2273	0.3355	72.4	4.13	722	76.8	0.5295	-4	-0.03	-608	-1.4	0.0034	406,932	482,499	433,675	0.4449	Below Average	0.3343	0.4142	0.3147	0.4285	Average	76.1	4.25	791	80.5	Average	0.609	-7.7	-0.15	-677	-5.1	-0.0761	63	101	101	550	48	competitive	0.0074	19.74	9.7	41.9	40.3	8.1	3,625	1,105	competitive	0.0016	1.27	0	1	89	10	7,520	5,015	competitive	0.0014	0.32	0	70	30	0.3547	0.532	0.6453	-0.532	100	101	293	520	448	0.6415	0.3671	0.4549	0.4549	0.5902	76.7	4.26	843	80.7	0.6149	-8.3	-0.16	-729	-5.3	-0.082	competitive	0.0014	0.31	71	29	0.5032	1.16	4.09	0.262	0.7866	0.738	-0.7866	100	101	4,647	7,703	6,740	0.5941	0.3267	0.4142	0.3981	0.5336	83.4	4.67	1,198	92	0.8133	-15	-0.57	-1,084	-16.6	-0.2804	competitive	0.001	0.0007	1	0.18	0.4599	0.2094	0.3682	0.7906	-0.3682	828,388	62.9	3.88	394	76.6	0.4737	5.5	0.22	-280	0.0592	0.579	0.3247	0.3682	0.3771	0.4997	346,051	0.4395	-1.2	554,757	522,369	24.3	58.7	7.7	9.2	828,389	567	59.7	4.22	304	76.6	0.4389	8.7	-0.12	-190	0.094	0.6378	0.2915	0.4929	0.3922	0.5424	203	52.99	27.74	0.5866	567	5.33	1,876	585	0.4494	4,493.66	0.21	46,578	34	0.0257	257.16	0.55	158.73	0.02	99.01	0.02	99.01	0.02	99.01	0.01	99.01	4.8	-0.05	5	-1.7	24.6	null	null	null	null	null	0.01	12,560	-0.015	0.21	617,252	0.16	-0.02	37,752	-0.05	0.43	409,090	0.448	0	-14,321	0.019	0.4	406,921	0.445	0.06	-420,880	0.158	0.5	293	0.642	0.27	-672,092	0.426	0.46	4,647	0.594	0.5329	100	0	113	0.13	4	0.571	0.4	accelerating	0.13	0.93	4	4	6	10	0.648	0.66	0.66	0.571	0.4	264,626	275,746	274,862	3	51	accelerating	0.06	null	80.73
648VJ2WX	Sushi Gen shreveport	Food and Drink	Restaurants	Japanese restaurant	Japanese restaurant, Asian restaurant	6607 Line Ave, Shreveport, LA 71106	6607 Line Ave	Shreveport	Louisiana	Springlake, University Terrace	Springlake, University Terrace	71,106	US	true	32.445802	-93.745505	America/Chicago	(318) 21-***	2	null	true	Shreveport	Louisiana	US	http	http://sushigensb.com	sushigensb.com	sushigensb.com	com	2,314	2019-11-29	2026-11-29	Tucows Domains Inc.	null	null	0	0	0	Laid-back eatery offering creative sushi rolls & Japanese mains, with cocktails & a patio.	4.49	508	{"1": 17, "2": 13, "3": 27, "4": 103, "5": 349}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Hard liquor, Healthy options, Private dining r(...TRUNCATED)	Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Quiet, Romantic, Trendy	College students, Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	purchase_dataset@	true	true	2	null	null	https://www.facebook.com/sushigenbossier	sushigenbossier	null	null	null	null	null	null	https://www.youtube.com/channel/ucvlxwrd0zyzreow0uuuo5yw	ucvlxwrd0zyzreow0uuuo5yw	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-03-20T17:56:37.343785+00:00	0	0	2	4,493.66	203.1	172.6496	1.15	89.8	90.2	89.2	0.7392	null	1	0.519	0.5995	0.877	0.5273	0.1882	100	80	null	null	null	100	0	0	72.73	27.27	0	76.67	23.33	0	stable	improving	null	20	0.4005	25	0	2	11	30	70.6	9.5	16	83	97.4	86	217	576	331	2,933	8,000	4,170	228,534	530,425	336,636	245,508	217	114,112	27	393,928	322,019	101	305,770	509,619	101	464,164	115	740	1,670	10,801	22,080	724,238	1,424,284	724,238	0.2845	0.2252	0.409	-0.2252	0.591	0.7227	0.4006	0.5297	-0.4006	0.4703	0.5241	0.3108	0.4974	-0.3108	0.5026	100	26	100	114,112	124,082	393,928	0.8415	0.823	0.464	0.753	0.877	70.3	4.33	405	82.1	0.6241	1	0.16	103	7.1	0.1146	322,019	431,601	305,770	0.5635	0.4056	0.5901	0.3755	0.5273	74.5	4.2	767	79.1	0.5813	-3.2	0.29	-259	10.1	0.1574	509,619	615,963	464,164	0.3093	Strong	0.1627	0.3732	0.1172	0.1882	Average	73.2	4.09	745	75.8	Below Average	0.518	-1.9	0.4	-237	13.4	0.2207	27	101	101	587	40	competitive	0.046	8.28	3.8	11.5	57.7	26.9	3,028	1,016	competitive	0.0066	1.27	0	1	81	18	7,456	5,167	competitive	0.0068	0.32	1	84	15	0.3547	0.532	-0.3547	0.468	100	101	214	292	245	0.7378	0.6402	0.7024	0.7634	0.8366	76.7	4.26	843	80.7	0.6149	-5.4	0.23	-335	8.5	0.1238	competitive	0.006	0.31	71	29	0.6979	1.16	4.09	0.2707	0.7903	-0.2707	0.2097	100	101	3,542	4,296	3,187	0.6894	0.6189	0.7231	0.7583	0.8031	83.4	4.67	1,197	92	0.8145	-12.1	-0.18	-689	-2.8	-0.0758	competitive	0.0042	0.0007	1	0.18	0.6784	0.2094	0.3682	-0.2094	0.6318	828,388	62.9	3.88	394	76.6	0.4737	8.4	0.61	114	0.265	0.6728	0.6221	0.6845	0.7483	0.781	268,427	0.6611	12.6	306,364	260,872	24.3	58.7	7.7	9.2	828,389	567	59.7	4.22	304	76.6	0.4389	11.6	0.27	204	0.2998	0.7314	0.5742	0.7473	0.7191	0.8039	152	52.99	38.5	0.8569	567	5.33	1,876	585	0.4494	4,493.66	0.21	46,578	34	0.0257	256.92	21.17	370.37	0.43	99.01	0.46	99.01	0.36	99.01	0.18	99.01	0.2	0	3	0.1	-59.3	null	null	null	null	null	0.14	-178,472	0.246	0.72	114,111	0.842	-0.02	22,715	-0.031	0.52	322,017	0.564	-0.02	33,282	-0.043	0.28	509,616	0.309	0.26	-420,959	0.254	0.7	214	0.738	0.49	-673,197	0.521	0.68	3,542	0.689	0.7387	null	null	506	0	0	0	0	decelerating	0.07	0.47	2	2	9	35	0.369	0.381	0.383	0.167	0.338	553,450	582,366	579,993	4	75	decelerating	0.07	-0.3	91.49

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All Restaurants in Shreveport, Louisiana, US

Free sample dataset from BeamStation

This dataset provides a complete export of every restaurant operating in Shreveport, Louisiana, United States. It contains 350 records, each representing a distinct establishment and includes all available columns such as name, address, cuisine type, contact information, hours of operation, and any additional attributes sourced from the original provider. The data is refreshed on a weekly basis, ensuring that users have access to the most current listings for analysis, mapping, or application development. Researchers, urban planners, food‑industry analysts, and developers building local‑search tools can rely on this comprehensive list to study market saturation, demographic trends, or to power recommendation engines. Because the file includes every column available from the source, no preprocessing is required to retrieve useful fields, making it ready for immediate ingestion into GIS software, spreadsheets, or machine‑learning pipelines. Access the dataset directly via the provided URL to download the latest weekly snapshot.

Dataset Details

Field	Value
Full dataset	350 records
Sample size	25 records
Location	Shreveport
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (484 total)

Column List

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

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/all-restaurants-in-shreveport-louisiana-us-189623")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 350 records and unmasked contact data is available at:

All Restaurants in Shreveport, Louisiana, US on BeamStation

License

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

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