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beam_id
stringlengths
8
8
title
stringlengths
3
42
category_main_group
stringclasses
1 value
category_sub_group
stringclasses
1 value
category
stringlengths
4
24
categories
stringlengths
10
210
address
stringlengths
32
50
street
stringlengths
7
42
city
stringclasses
1 value
state
stringclasses
1 value
borough
stringlengths
4
21
neighborhood
stringlengths
4
40
postal_code
int64
94.1k
94.2k
country
stringclasses
1 value
address_verified
bool
1 class
latitude
float64
37.7
37.8
longitude
float64
-122.51
-122.39
timezone
stringclasses
1 value
phone
stringlengths
14
14
โŒ€
price_level
int64
0
4
business_status
stringclasses
2 values
has_open_hours
bool
1 class
has_price
bool
2 classes
census_place
float64
verified_census_city
bool
1 class
beam_location_name
stringclasses
1 value
beam_state_code
stringclasses
1 value
beam_country_code
stringclasses
1 value
website_protocol
stringclasses
2 values
website
stringlengths
17
90
โŒ€
website_normalized
stringlengths
10
82
โŒ€
website_domain
stringlengths
10
34
โŒ€
website_domain_tld
stringclasses
4 values
website_domain_age
float64
236
11.5k
โŒ€
website_domain_registered
stringdate
1994-11-14 00:00:00
2025-08-14 00:00:00
โŒ€
website_domain_expires
stringdate
2026-04-11 00:00:00
2035-11-29 00:00:00
โŒ€
website_domain_registrar
stringlengths
10
39
โŒ€
emails_list
stringlengths
24
734
โŒ€
emails_list_website_domain
stringclasses
1 value
emails_count
int64
0
26
emails_deliverable_count
int64
0
26
emails_risky_count
int64
0
8
description
stringlengths
67
101
โŒ€
has_about
bool
1 class
has_description
bool
2 classes
rating
float64
0.04
4.35
reviews_total_count
int64
109
12.4k
reviews_per_rating
stringlengths
42
53
service_options
stringlengths
7
98
highlights
stringlengths
12
144
โŒ€
popular_for
stringclasses
10 values
accessibility
stringclasses
9 values
offerings
stringlengths
24
249
โŒ€
dining_options
stringlengths
24
92
โŒ€
amenities
stringclasses
8 values
atmosphere
stringlengths
6
49
โŒ€
crowd
stringlengths
6
91
โŒ€
planning
stringclasses
15 values
payments
stringclasses
6 values
children
stringclasses
9 values
has_popular_times
bool
2 classes
has_website
bool
2 classes
has_email
stringclasses
1 value
has_social
bool
2 classes
has_phone
bool
2 classes
socials_count
int64
0
8
first_social_post_date
stringdate
2015-03-15 00:00:00
2025-11-14 00:00:00
โŒ€
last_social_post_date
stringdate
2022-02-27 00:00:00
2026-03-27 00:00:00
โŒ€
first_social_post_days
float64
144
4.04k
โŒ€
last_social_post_days
float64
11
1.5k
โŒ€
social_post_count
float64
10
114
โŒ€
first_social_post_days_min
float64
144
4.04k
โŒ€
first_social_post_days_max
float64
144
4.04k
โŒ€
last_social_post_days_min
float64
11
1.5k
โŒ€
last_social_post_days_max
float64
11
1.5k
โŒ€
social_profile_instagram
stringlengths
30
54
โŒ€
social_username_instagram
stringlengths
4
28
โŒ€
social_profile_facebook
stringlengths
31
66
โŒ€
social_username_facebook
stringlengths
5
39
โŒ€
social_profile_twitter
stringlengths
24
35
โŒ€
social_username_twitter
stringlengths
4
15
โŒ€
social_profile_tiktok
stringlengths
28
46
โŒ€
social_username_tiktok
stringlengths
4
22
โŒ€
social_profile_linkedin
stringlengths
34
80
โŒ€
social_username_linkedin
stringlengths
4
47
โŒ€
social_profile_youtube
stringclasses
17 values
social_username_youtube
stringclasses
17 values
social_profile_github
stringclasses
4 values
social_username_github
stringclasses
4 values
social_profile_snapchat
float64
social_username_snapchat
float64
social_profile_pinterest
stringclasses
4 values
social_username_pinterest
stringclasses
4 values
instagram_followers
float64
15
1.98M
โŒ€
instagram_engagement_rate
float64
0
195
โŒ€
instagram_engagement_rate_1m
float64
0.06
0.73
โŒ€
instagram_engagement_rate_3m
float64
0.04
59.7
โŒ€
instagram_engagement_rate_6m
float64
0.04
13.2
โŒ€
instagram_engagement_rate_12m
float64
0.01
121
โŒ€
instagram_post_count
float64
0
14.4k
โŒ€
tiktok_followers
float64
0
4.8M
โŒ€
tiktok_video_count
float64
0
1.04k
โŒ€
tiktok_heart_count
float64
0
124M
โŒ€
tiktok_engagement_rate
float64
0.11
22.8
โŒ€
tiktok_engagement_rate_1m
float64
6.99
17.6
โŒ€
tiktok_engagement_rate_3m
float64
0.82
18.1
โŒ€
tiktok_engagement_rate_6m
float64
0.77
13.5
โŒ€
tiktok_engagement_rate_12m
float64
0.11
13.8
โŒ€
menu_link
stringlengths
18
104
โŒ€
order_links
stringlengths
26
92
โŒ€
reservation_link
stringlengths
26
92
โŒ€
last_updated_at
stringlengths
32
32
beam_cross_social_market_penetration
float64
0
549
beam_cross_velocity_quality
float64
0
21.1
beam_cross_social_urgency
float64
0
6.4
beam_cross_per_capita_engagement
float64
1.82k
5.38k
beam_cross_market_saturation_lead
float64
9.6
113
beam_cross_population_adjusted_rank
float64
69.4
131
beam_cross_demand_gap_index
float64
0.66
1.26
beam_rating_score
float64
0.8
87
beam_review_confidence
float64
68
100
beam_rating_health
float64
0.5
59.7
sentiment_avg
float64
0.11
0.94
sentiment_avg_30d
float64
-1
1
โŒ€
sentiment_avg_90d
float64
-0.61
1
sentiment_avg_180d
float64
-0.33
0.95
sentiment_avg_360d
float64
-0.37
0.96
sentiment_percentile_1km
float64
0.27
0.96
sentiment_percentile_5km
float64
0.87
0.96
sentiment_percentile_10km
float64
0.36
0.93
sentiment_score_90d
float64
19.7
100
sentiment_score_360d
float64
31.7
97.9
sentiment_positive_pct_30d
float64
0
100
โŒ€
sentiment_negative_pct_30d
float64
0
100
โŒ€
sentiment_neutral_pct_30d
float64
0
100
โŒ€
sentiment_positive_pct_90d
float64
0
100
sentiment_negative_pct_90d
float64
0
75
sentiment_neutral_pct_90d
float64
0
100
sentiment_positive_pct_180d
float64
0
100
sentiment_negative_pct_180d
float64
0
64.9
sentiment_neutral_pct_180d
float64
0
100
sentiment_positive_pct_360d
float64
0
100
sentiment_negative_pct_360d
float64
0
62.5
sentiment_neutral_pct_360d
float64
0
100
sentiment_trend_30vs90d
stringclasses
3 values
sentiment_trend_90vs360d
stringclasses
3 values
sentiment_diff_30vs90d
float64
-1.61
0.16
โŒ€
sentiment_change_360d
float64
-28.7
27.8
sentiment_diff_90vs360d
float64
-0.58
0.55
sentiment_change_pct_360d
float64
-37.9
44.6
reviews_count_30d
int64
0
4
reviews_count_90d
int64
1
246
reviews_count_180d
int64
1
396
reviews_count_360d
int64
1
471
review_growth_pct_180d
float64
-80
100
review_growth_pct_360d
float64
-60.5
300
review_growth_pct_90d
float64
-100
200
beam_score_overall
float64
32.8
72.6
beam_popularity_percentile
float64
9.5
57.8
beam_social_presence
int64
0
100
beam_data_completeness
int64
33
100
beam_price_value
float64
35.9
97.7
beam_data_freshness
float64
44
100
beam_rank_city_category
int64
4
2.3k
beam_rank_city_overall
int64
367
4.95k
beam_rank_city_reviews
int64
6
3.91k
beam_rank_state_category
int64
32
54.8k
beam_rank_state_overall
int64
7.67k
109k
beam_rank_state_reviews
int64
51
86k
beam_rank_country_category
int64
342
465k
beam_rank_country_overall
int64
67.4k
971k
beam_rank_country_reviews
int64
448
787k
beam_rank_place_global_category
int64
355
499k
beam_rank_category
int64
4
2.3k
beam_rank_competition_1km_category
int64
25.7k
717k
beam_rank_competition_1km_total
int64
28
167
beam_rank_competition_1km_reviews
int64
11.6k
694k
beam_rank_competition_5km_category
int64
136k
406k
beam_rank_competition_5km_total
int64
101
191
beam_rank_competition_5km_reviews
int64
21.9k
479k
beam_rank_competition_10km_category
int64
189k
604k
beam_rank_competition_10km_total
int64
101
193
beam_rank_competition_10km_reviews
int64
29.3k
607k
beam_export_rank
int64
5
973
total_city_category
int64
3.61k
3.61k
total_city
int64
6.96k
6.96k
total_state_category
int64
88.8k
88.8k
total_state
int64
166k
166k
total_country_category
int64
734k
734k
total_country
int64
1.46M
1.46M
total_category_global
int64
734k
734k
beam_competitors_10km_competitive_strength
float64
0.19
0.76
beam_competitors_10km_competitor_avg_sentiment_30d
float64
0.07
0.31
beam_competitors_10km_competitor_avg_sentiment_90d
float64
0.3
0.57
beam_competitors_10km_sentiment_diff_30d
float64
-1.31
0.92
beam_competitors_10km_sentiment_diff_90d
float64
-1.14
0.65
beam_competitors_1km_competitive_strength
float64
0.09
0.87
beam_competitors_1km_competitor_avg_sentiment_30d
float64
-0.03
0.3
beam_competitors_1km_competitor_avg_sentiment_90d
float64
0.11
0.52
beam_competitors_1km_sentiment_diff_30d
float64
-0.99
0.86
beam_competitors_1km_sentiment_diff_90d
float64
-0.85
0.7
beam_competitors_5km_competitive_strength
float64
0.34
0.7
beam_competitors_5km_competitor_avg_sentiment_30d
float64
0.13
0.33
beam_competitors_5km_competitor_avg_sentiment_90d
float64
0.41
0.58
beam_competitors_5km_sentiment_diff_30d
float64
-1.26
0.82
beam_competitors_5km_sentiment_diff_90d
float64
-1.02
0.57
beam_competitors_10km_competitor_count
int64
100
192
beam_competitors_1km_competitor_count
int64
27
166
beam_competitors_5km_competitor_count
int64
100
190
beam_competitors_1km_rank_by_score
int64
25.7k
717k
beam_competitors_1km_rank_by_rating
int64
259k
648k
beam_competitors_1km_rank_by_reviews
int64
11.6k
694k
beam_competitors_1km_score_percentile
float64
0.04
0.96
beam_competitors_1km_rating_percentile
float64
0.13
0.65
beam_competitors_1km_reviews_percentile
float64
0.07
0.98
beam_competitors_1km_health_percentile
float64
0.06
0.51
beam_competitors_1km_sentiment_percentile
float64
0.27
0.96
beam_competitors_1km_competitor_avg_score
float64
30.9
52.2
beam_competitors_1km_competitor_avg_rating
float64
0.23
1.02
beam_competitors_1km_competitor_avg_reviews
int64
159
1.97k
beam_competitors_1km_competitor_avg_health
float64
3.8
15.6
beam_competitors_1km_competitor_avg_sentiment
float64
0.41
0.71
beam_competitors_1km_score_diff
float64
-15.4
32.2
beam_competitors_1km_rating_diff
float64
-0.94
3.91
beam_competitors_1km_reviews_diff
int64
-1,072
10.9k
beam_competitors_1km_health_diff
float64
-13
52.2
beam_competitors_1km_sentiment_diff
float64
-0.58
0.32
beam_competitors_5km_rank_by_score
int64
136k
406k
beam_competitors_5km_rank_by_rating
int64
492k
661k
beam_competitors_5km_rank_by_reviews
int64
21.9k
479k
beam_competitors_5km_score_percentile
float64
0.46
0.82
beam_competitors_5km_rating_percentile
float64
0.12
0.34
beam_competitors_5km_reviews_percentile
float64
0.37
0.97
beam_competitors_5km_health_percentile
float64
0.05
0.34
beam_competitors_5km_sentiment_percentile
float64
0.87
0.96
beam_competitors_5km_competitor_avg_score
float64
46.6
52
beam_competitors_5km_competitor_avg_rating
float64
0.33
0.58
beam_competitors_5km_competitor_avg_reviews
int64
693
2.52k
beam_competitors_5km_competitor_avg_health
float64
4.5
10
beam_competitors_5km_competitor_avg_sentiment
float64
0.69
0.75
beam_competitors_5km_score_diff
float64
-17.3
22.3
beam_competitors_5km_rating_diff
float64
-0.5
3.96
beam_competitors_5km_reviews_diff
int64
-1,554
10.2k
beam_competitors_5km_health_diff
float64
-7.8
51.6
beam_competitors_5km_sentiment_diff
float64
-0.64
0.21
beam_competitors_10km_rank_by_score
int64
189k
604k
beam_competitors_10km_rank_by_rating
int64
305k
618k
beam_competitors_10km_rank_by_reviews
int64
29.3k
607k
beam_competitors_10km_score_percentile
float64
0.19
0.74
beam_competitors_1km_competitive_tier
stringclasses
5 values
beam_competitors_10km_rating_percentile
float64
0.17
0.59
beam_competitors_10km_reviews_percentile
float64
0.19
0.96
beam_competitors_10km_health_percentile
float64
0.06
0.48
beam_competitors_10km_sentiment_percentile
float64
0.36
0.93
beam_competitors_5km_competitive_tier
stringclasses
3 values
beam_competitors_10km_competitor_avg_score
float64
43.7
52.5
beam_competitors_10km_competitor_avg_rating
float64
0.42
1.03
beam_competitors_10km_competitor_avg_reviews
int64
542
2.55k
beam_competitors_10km_competitor_avg_health
float64
4.7
13.5
beam_competitors_10km_competitive_tier
stringclasses
4 values
beam_competitors_10km_competitor_avg_sentiment
float64
0.57
0.75
beam_competitors_10km_score_diff
float64
-17.9
21.8
beam_competitors_10km_rating_diff
float64
-0.94
3.7
beam_competitors_10km_reviews_diff
int64
-1,497
11.1k
beam_competitors_10km_health_diff
float64
-12.3
50.3
beam_competitors_10km_sentiment_diff
float64
-0.61
0.35
beam_competitors_1km_total_in_radius
int64
28
167
beam_competitors_5km_total_in_radius
int64
101
191
beam_competitors_10km_total_in_radius
int64
101
193
beam_competitors_1km_avg_distance_m
int64
269
833
beam_competitors_1km_closest_competitor_m
int64
1
214
beam_competitors_1km_market_type
stringclasses
1 value
beam_competitors_1km_review_share
float64
0
0.16
beam_competitors_1km_density_per_sqkm
float64
8.59
52.8
beam_competitors_1km_tier_below_40
float64
0
78.6
beam_competitors_1km_tier_40_59
float64
19.6
95
beam_competitors_1km_tier_60_79
float64
0
20
beam_competitors_1km_tier_80_100
float64
0
1.2
beam_competitors_5km_avg_distance_m
int64
2.19k
3.94k
beam_competitors_5km_closest_competitor_m
int64
1k
2.05k
beam_competitors_5km_market_type
stringclasses
1 value
beam_competitors_5km_review_share
float64
0
0.05
beam_competitors_5km_density_per_sqkm
float64
1.27
2.42
beam_competitors_5km_tier_below_40
float64
0
19.7
beam_competitors_5km_tier_40_59
float64
76.9
96
beam_competitors_5km_tier_60_79
float64
3
10
beam_competitors_5km_tier_80_100
float64
0
0.6
beam_competitors_10km_avg_distance_m
int64
5.75k
8.53k
beam_competitors_10km_closest_competitor_m
int64
5k
5.6k
beam_competitors_10km_market_type
stringclasses
1 value
beam_competitors_10km_review_share
float64
0
0.08
beam_competitors_10km_density_per_sqkm
float64
0.32
0.61
beam_competitors_10km_tier_below_40
float64
0
32.6
beam_competitors_10km_tier_40_59
float64
59.4
94
beam_competitors_10km_tier_60_79
float64
6
21
beam_competitors_10km_tier_80_100
float64
0
0.5
beam_competitors_city_competitor_avg_sentiment_30d
float64
0.21
0.31
beam_competitors_city_competitor_avg_sentiment_90d
float64
0.55
0.57
beam_competitors_city_sentiment_diff_30d
float64
-1.31
0.79
beam_competitors_city_sentiment_diff_90d
float64
-1.15
0.45
beam_competitors_city_competitor_count
int64
100
190
beam_competitors_city_total_in_city
int64
101
191
beam_competitors_city_rank_by_score
int64
11
2.98k
beam_competitors_city_rank_by_rating
int64
266
4.02k
beam_competitors_city_rank_by_reviews
int64
3
1.22k
beam_competitors_city_score_percentile
float64
0.28
1
beam_competitors_city_rating_percentile
float64
0.03
0.94
beam_competitors_city_reviews_percentile
float64
0.71
1
beam_competitors_city_health_percentile
float64
0.03
0.96
beam_competitors_city_sentiment_percentile
float64
0.12
0.98
beam_competitors_city_competitor_avg_score
float64
50.5
52.4
beam_competitors_city_competitor_avg_rating
float64
0.49
0.64
beam_competitors_city_competitor_avg_reviews
int64
1.52k
2.41k
beam_competitors_city_competitor_avg_health
float64
6.2
10.3
beam_competitors_city_competitor_avg_sentiment
float64
0.74
0.76
beam_competitors_city_score_diff
float64
-17.9
21.9
beam_competitors_city_rating_diff
float64
-0.59
3.86
beam_competitors_city_reviews_diff
int64
-1,439
10k
beam_competitors_city_health_diff
float64
-9.5
49.7
beam_competitors_city_sentiment_diff
float64
-0.65
0.2
beam_competitors_city_market_type
stringclasses
1 value
beam_competitors_city_review_share
float64
0
0.05
beam_competitors_city_density_per_sqkm
float64
0.17
0.32
beam_competitors_city_tier_below_40
float64
0
1
beam_competitors_city_tier_40_59
float64
87.8
92
beam_competitors_city_tier_60_79
float64
7
11.1
beam_competitors_city_tier_80_100
float64
0
0.5
beam_competitors_city_competitive_strength
float64
0.37
0.97
beam_competitors_city_underserved_score
float64
0.67
1.27
beam_competitors_city_competition_intensity
float64
0.58
1.14
beam_competitors_state_competitor_avg_sentiment_30d
float64
0.16
0.19
beam_competitors_state_competitor_avg_sentiment_90d
float64
0.68
0.73
beam_competitors_state_sentiment_diff_30d
float64
-1.19
0.84
beam_competitors_state_sentiment_diff_90d
float64
-1.33
0.28
beam_competitors_state_competitor_count
int64
100
200
beam_competitors_state_total_in_state
int64
101
201
beam_competitors_state_rank_by_score
int64
347
71.9k
beam_competitors_state_rank_by_rating
int64
7.97k
92.2k
beam_competitors_state_rank_by_reviews
int64
20
54.8k
beam_competitors_state_score_percentile
float64
0.3
1
beam_competitors_state_rating_percentile
float64
0.09
0.92
beam_competitors_state_reviews_percentile
float64
0.47
1
beam_competitors_state_health_percentile
float64
0.11
0.93
beam_competitors_state_sentiment_percentile
float64
0.12
0.99
beam_competitors_state_competitor_avg_score
float64
55.3
62.6
beam_competitors_state_competitor_avg_rating
float64
1.28
2.52
beam_competitors_state_competitor_avg_reviews
int64
2.28k
3.76k
beam_competitors_state_competitor_avg_health
float64
13.2
36.5
beam_competitors_state_competitor_avg_sentiment
float64
0.77
0.87
beam_competitors_state_score_diff
float64
-27.2
17.2
beam_competitors_state_rating_diff
float64
-2.47
3.06
beam_competitors_state_reviews_diff
int64
-2,733
8.77k
beam_competitors_state_health_diff
float64
-35.5
39.3
beam_competitors_state_sentiment_diff
float64
-0.76
0.17
beam_competitors_state_market_type
stringclasses
1 value
beam_competitors_state_review_share
float64
0
0.03
beam_competitors_state_density_per_sqkm
float64
0
0
beam_competitors_state_underserved_score
float64
0.64
1.28
beam_competitors_state_competition_intensity
float64
0.01
0.03
beam_competitors_state_competitive_strength
float64
0.4
0.97
beam_competitors_country_competitor_avg_sentiment_30d
float64
0.06
0.06
beam_competitors_country_competitor_avg_sentiment_90d
float64
0.23
0.23
beam_competitors_country_sentiment_diff_30d
float64
-1.06
0.94
beam_competitors_country_sentiment_diff_90d
float64
-0.84
0.77
beam_competitors_country_competitor_count
int64
792k
792k
beam_competitors_country_competitor_avg_score
float64
41.1
41.1
beam_competitors_country_competitor_avg_rating
float64
0.94
0.94
beam_competitors_country_competitor_avg_reviews
int64
531
531
beam_competitors_country_competitor_avg_health
float64
20.4
20.4
beam_competitors_country_competitor_avg_sentiment
float64
0.46
0.46
beam_competitors_country_score_diff
float64
-8.3
31.5
beam_competitors_country_rating_diff
float64
-0.9
3.41
beam_competitors_country_reviews_diff
int64
-422
11.9k
beam_competitors_country_sentiment_diff
float64
-0.35
0.48
beam_competitors_country_score_percentile
float64
0.29
0.99
beam_competitors_country_rating_percentile
float64
0.16
0.89
beam_competitors_country_reviews_percentile
float64
0.37
1
beam_competitors_country_health_percentile
float64
0.16
0.93
beam_competitors_country_sentiment_percentile
float64
0.19
0.98
beam_competitors_country_rank_by_score
int64
4.82k
562k
beam_competitors_country_competitive_strength
float64
0.36
0.95
beam_competitors_country_health_diff
float64
-19.9
39.3
beam_competitors_country_rank_by_rating
int64
86.4k
649k
beam_competitors_country_rank_by_reviews
int64
425
495k
beam_competitors_country_tier_40_59
float64
44.5
44.5
beam_competitors_country_tier_60_79
float64
8.8
8.8
beam_competitors_country_tier_80_100
float64
0
0
beam_competitors_country_tier_below_40
float64
46.7
46.7
beam_competitors_country_total_in_country
int64
792k
792k
beam_competitors_city_siblings_competitor_count
int64
158
3.44k
beam_competitors_city_siblings_competitor_avg_score
float64
45.5
55
beam_competitors_city_siblings_competitor_avg_rating
float64
3.75
4.3
beam_competitors_city_siblings_competitor_avg_reviews
int64
282
361
beam_competitors_city_siblings_competitor_avg_health
float64
5.7
12.1
beam_competitors_city_siblings_competitor_avg_sentiment
float64
0.4
0.62
beam_competitors_city_siblings_score_diff
float64
-8.5
26.9
beam_competitors_city_siblings_rating_diff
float64
-1.09
0.8
beam_competitors_city_siblings_reviews_diff
int64
-257
4.11k
beam_competitors_city_siblings_sentiment_diff
float64
-0.46
0.49
beam_competitors_city_siblings_score_percentile
float64
0.24
1
beam_competitors_city_siblings_rating_percentile
float64
0.07
0.7
beam_competitors_city_siblings_reviews_percentile
float64
0.36
1
beam_competitors_city_siblings_health_percentile
float64
0.17
0.99
beam_competitors_city_siblings_sentiment_percentile
float64
0.11
0.97
beam_competitors_city_siblings_rank_by_score
int64
6
2.62k
beam_competitors_city_siblings_competitor_avg_recommend_pct
float64
54.1
76.5
beam_competitors_city_siblings_recommend_pct_diff
float64
-65.44
41.8
beam_competitors_city_siblings_recommend_pct_percentile
float64
0
0.97
beam_competitors_city_siblings_total_siblings
int64
158
3.44k
beam_competitors_city_businesses_per_10k_pop
float64
1.14
2.17
beam_competitors_city_population_per_business
int64
4.6k
8.74k
beam_competitors_city_population_density
int64
1.46k
1.46k
beam_competitors_city_reviews_per_capita
float64
0.26
0.33
beam_competitors_city_reviews_per_10k_pop
float64
2.65k
3.35k
beam_competitors_state_businesses_per_10k_pop
float64
0.03
0.05
beam_competitors_state_population_per_business
int64
198k
395k
beam_competitors_state_population_density
int64
93
93
beam_competitors_state_reviews_per_capita
float64
0.01
0.01
beam_competitors_state_reviews_per_10k_pop
float64
91.7
119
beam_competitors_1km_hhi_contribution
float64
0.01
248
beam_competitors_1km_hhi_minimum
float64
59.9
357
beam_competitors_5km_hhi_contribution
float64
0
28.6
beam_competitors_5km_hhi_minimum
float64
52.4
99
beam_competitors_10km_hhi_contribution
float64
0
71.2
beam_competitors_10km_hhi_minimum
float64
51.8
99
beam_competitors_city_hhi_contribution
float64
0
24
beam_competitors_city_hhi_minimum
float64
52.4
99
beam_competitors_state_hhi_contribution
float64
0
10.9
beam_competitors_state_hhi_minimum
float64
49.8
99
beam_trends_score_30d_beam_score_overall
float64
-40.9
-2.4
beam_trends_score_30d_rating
float64
-4.63
-0.04
beam_trends_score_30d_review_count
int64
-239
8.64k
beam_trends_score_30d_beam_rating_health
float64
-92.3
-21.7
beam_trends_score_30d_beam_popularity_percentile
float64
-72.7
17.9
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
-0.36
0.18
beam_trends_competitive_1km_30d_rank_change
int64
-99,624
231k
beam_trends_competitive_1km_30d_percentile_change
float64
-0.31
0.14
beam_trends_competitive_1km_90d_strength_change
float64
0.09
0.87
beam_trends_competitive_1km_90d_rank_change
int64
25.7k
717k
beam_trends_competitive_1km_90d_percentile_change
float64
0.04
0.97
beam_trends_competitive_5km_30d_strength_change
float64
-0.42
-0.24
beam_trends_competitive_5km_30d_rank_change
int64
96.4k
291k
beam_trends_competitive_5km_30d_percentile_change
float64
-0.38
-0.13
beam_trends_competitive_5km_90d_strength_change
float64
0.34
0.7
beam_trends_competitive_5km_90d_rank_change
int64
136k
406k
beam_trends_competitive_5km_90d_percentile_change
float64
0.46
0.82
beam_trends_competitive_10km_30d_strength_change
float64
-0.38
0.11
beam_trends_competitive_10km_30d_rank_change
int64
-13,983
358k
beam_trends_competitive_10km_30d_percentile_change
float64
-0.47
0.02
beam_trends_competitive_10km_90d_strength_change
float64
0.19
0.76
beam_trends_competitive_10km_90d_rank_change
int64
189k
604k
beam_trends_competitive_10km_90d_percentile_change
float64
0.19
0.74
beam_trends_competitive_city_30d_strength_change
float64
-0.26
0.49
beam_trends_competitive_city_30d_rank_change
int64
-2,973
1.57k
beam_trends_competitive_city_30d_percentile_change
float64
-0.38
0.72
beam_trends_competitive_city_90d_strength_change
float64
0.37
0.97
beam_trends_competitive_city_90d_rank_change
int64
11
2.98k
beam_trends_competitive_city_90d_percentile_change
float64
0.28
1
beam_trends_competitive_state_30d_strength_change
float64
-0.26
0.39
beam_trends_competitive_state_30d_rank_change
int64
-67,402
42.9k
beam_trends_competitive_state_30d_percentile_change
float64
-0.41
0.67
beam_trends_competitive_state_90d_strength_change
float64
0.4
0.97
beam_trends_competitive_state_90d_rank_change
int64
347
71.9k
beam_trends_competitive_state_90d_percentile_change
float64
0.3
1
beam_trends_sentiment_current_sentiment
float64
0.11
0.94
beam_trends_sentiment_positive_ratio
float64
0
100
โŒ€
beam_trends_sentiment_negative_ratio
float64
0
100
โŒ€
beam_trends_sentiment_review_count
int64
104
4.48k
beam_trends_velocity_reviews_per_day
float64
0
0.4
beam_trends_velocity_reviews_per_month
float64
0
12
beam_trends_velocity_percentile_city
float64
0
1
beam_trends_velocity_percentile_state
float64
0
0.99
beam_trends_velocity_trend
stringclasses
3 values
beam_velocity_reviews_per_day
float64
0.03
1.3
beam_velocity_reviews_per_week
float64
0.23
9.1
beam_velocity_reviews_per_month
float64
1
39
beam_velocity_reviews_last_30d
int64
1
39
beam_velocity_reviews_last_90d
int64
2
284
beam_velocity_reviews_last_365d
int64
3
2.62k
beam_velocity_percentile_1km
float64
0.24
0.99
beam_velocity_percentile_5km
float64
0.25
0.99
beam_velocity_percentile_10km
float64
0.25
0.99
beam_velocity_percentile_city
float64
0
1
beam_velocity_percentile_state
float64
0.12
0.99
beam_velocity_rank_1km
int64
12k
656k
beam_velocity_rank_5km
int64
12.4k
693k
beam_velocity_rank_10km
int64
12.4k
690k
beam_velocity_rank_city
int64
1
227
beam_velocity_rank_state
int64
4
5.43k
beam_velocity_trend
stringclasses
3 values
beam_velocity_change_30d
float64
-2.4
0.2
โŒ€
beam_velocity_change_90d
float64
-0.53
-0.1
โŒ€
beam_trends_sentiment_recommend_pct
float64
4.58
97.4
WZ3W2G6H
Absinthe Brasserie & Bar
Food and Drink
Restaurants
French restaurant
French restaurant, Bar, Brunch restaurant, Restaurant
398 Hayes St, San Francisco, CA 94102
398 Hayes St
San Francisco
California
Civic Center
Van Ness - Civic Center
94,102
US
true
37.777104
-122.42274
America/Los_Angeles
(415) 55*-****
3
null
true
true
null
true
San Francisco
California
US
http
http://absinthe.com
absinthe.com
absinthe.com
com
10,312
1998-01-12
2031-01-11
GoDaddy.com, LLC
"purchase_dataset@absinthe.com, purchase_dataset@absinthe.com, purchase_dataset@absinthegroup.com, p(...TRUNCATED)
realdomain
4
4
0
Upscale, Parisian-style brasserie & bar serving French-Mediterranean cuisine & creative cocktails.
true
true
0.08
1,794
{"1": 33, "2": 28, "3": 166, "4": 563, "5": 1007}
Outdoor seating, Onsite services, Takeout, Dine-in
Fast service, Great cocktails, Great coffee, Great dessert, Great wine list
Lunch, Dinner, Solo dining
Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating
"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Hard liquor, Late-night food, Private dining r(...TRUNCATED)
Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service
Bar onsite, Restroom
Cozy, Romantic, Trendy, Upscale
Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace
"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)
Debit cards, NFC mobile payments
High chairs
true
true
purchase_dataset@
true
true
5
2023-09-27
2026-02-13
923
53
24
923
923
53
53
https://www.instagram.com/absinthe_absente
absinthe_absente
https://www.facebook.com/absinthebrasserie
absinthebrasserie
https://twitter.com/absinthenetwork
absinthenetwork
null
null
https://www.linkedin.com/company/absinthenetwork
absinthenetwork
null
null
https://github.com/absinthe-graphql
absinthe-graphql
null
null
null
null
26,467
7.86
null
4
2.36
2.36
990
null
null
null
null
null
null
null
null
https://places.singleplatform.com/absinthe/menu
https://opentable.com/restaurant/profile/2542
https://opentable.com/restaurant/profile/2542
2026-04-07T12:25:46.166366+00:00
3.03
1.72
0
2,962.83
11.5
69.4158
1.26
1.6
100
1
0.716
null
0.2251
0.2251
0.2251
0.9421
0.9499
0.7697
61.3
61.3
null
null
null
61.54
30.77
7.69
61.54
30.77
7.69
61.54
30.77
7.69
stable
stable
null
0
0
0
0
13
13
13
100
300
-100
44.8
27.4
92
83
69.5
46
132
3,652
170
1,809
79,109
2,311
14,807
712,643
18,487
15,424
132
102,048
101
149,539
199,619
101
25,276
356,855
101
510,413
806
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.3942
0.0889
0.4976
-0.0889
-0.2725
0.6426
0.1391
0.3921
-0.1391
-0.167
0.6667
0.2242
0.5371
-0.2242
-0.312
100
100
100
102,048
594,373
149,539
0.8596
0.1964
0.7993
0.0957
0.9421
47.9
0.32
818
5.4
0.6859
-3.1
-0.24
976
-4.4
0.0301
199,619
538,167
25,276
0.7302
0.282
0.9667
0.1207
0.9499
50.5
0.51
2,396
6
0.7464
-5.7
-0.43
-602
-5
-0.0304
356,855
515,266
510,413
0.5155
Average
0.3063
0.3203
0.3715
0.7697
Strong
49.7
0.58
804
10.9
Below Average
0.6955
-4.9
-0.5
990
-9.9
0.0205
101
101
101
582
8
competitive
0.0215
31.83
6
90
4
0
2,465
1,100
competitive
0.0074
1.27
0
93
7
0
6,583
5,073
competitive
0.0218
0.32
8
80
12
0
0.2243
0.5557
-0.2243
-0.3306
100
101
1,392
2,426
289
0.6617
0.3799
0.9302
0.3814
0.661
50.7
0.54
2,401
6.6
0.7531
-5.9
-0.46
-607
-5.6
-0.0371
competitive
0.0074
0.17
1
91
8
0
0.6577
1.27
0.58
0.1825
0.7274
-0.1825
-0.5023
100
101
26,588
48,646
15,273
0.7395
0.5117
0.8514
0.4853
0.6557
55.4
1.28
3,640
13.2
0.8696
-10.6
-1.2
-1,846
-12.2
-0.1536
competitive
0.0049
0.0002
1.28
0.01
0.7047
0.059
0.2307
-0.059
-0.0056
791,801
41.1
0.94
531
20.4
0.4595
3.7
-0.86
1,263
0.2565
0.6108
0.2667
0.9371
0.2211
0.7577
305,701
0.6055
-19.4
556,571
49,752
44.5
8.8
0
46.7
791,802
3,435
53.1
4.2
361
12.1
0.5366
11.9
-0.12
903
0.1853
0.7566
0.2734
0.9633
0.2865
0.7187
826
65.44
24.1
0.735
3,435
1.14
8,740
1,455
0.2747
2,746.92
0.03
395,382
93
0.0092
92.07
4.61
99.01
0.55
99.01
4.76
99.01
0.55
99.01
0.24
99.01
-40.7
-4.31
530
-86.2
-43.9
null
null
null
null
null
-0.27
75,232
-0.103
0.64
102,047
0.86
-0.28
165,481
-0.221
0.67
199,617
0.73
-0.17
97,548
-0.125
0.39
356,853
0.516
-0.17
1,315
-0.318
0.66
1,392
0.662
-0.15
25,225
-0.246
0.7
26,588
0.74
0.716
null
null
1,264
0.03
1
0.273
0.381
decelerating
0.03
0.23
1
1
14
65
0.507
0.515
0.517
0.273
0.381
253,363
266,224
265,236
8
59
decelerating
-0.14
null
88.84
2R7VEMAJ
Chez Maman West
Food and Drink
Restaurants
French restaurant
French restaurant, Restaurant
401 Gough St, San Francisco, CA 94102
401 Gough St
San Francisco
California
Hayes Valley
Hayes Valley
94,102
US
true
37.777041
-122.423177
America/Los_Angeles
(415) 35*-****
2
OPERATIONAL
true
true
null
true
San Francisco
California
US
https
https://chezmamanrestos.com
chezmamanrestos.com
chezmamanrestos.com
com
2,281
2020-01-08
2027-01-08
Tucows Domains Inc.
null
null
0
0
0
Cozy, informal eatery serving French bistro classics ranging from burgers and crepes to mussels.
true
true
0.1
1,928
{"1": 46, "2": 51, "3": 147, "4": 409, "5": 1280}
Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in
Fast service, Great coffee, Great dessert, Great wine list, Serves local specialty
Lunch, Dinner, Solo dining
Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating
Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Small plates, Wine
Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service
Bar onsite, Restroom
Casual, Cozy, Romantic, Trendy
LGBTQ+ friendly, Tourists
Usually a wait
Credit cards, Debit cards, NFC mobile payments
null
true
true
purchase_dataset@
true
true
3
2025-11-06
2025-12-09
152
119
27
152
152
119
119
null
null
https://www.facebook.com/chezmamansf
chezmamansf
null
null
https://www.tiktok.com/@restaurantchezma
restaurantchezma
https://www.linkedin.com/company/chez-maman
chez-maman
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
35
9
70
5.68
null
null
5.68
5.68
https://places.singleplatform.com/chez-maman-1/menu
null
null
2026-04-07T12:22:59.139348+00:00
0
0
1.2
2,908.55
19.2
69.4158
1.26
2
100
1.7
0.7416
null
0.54
0.5099
0.5255
0.9404
0.9523
0.7845
77
76.3
null
null
null
92.86
7.14
0
83.33
5.56
11.11
84.21
5.26
10.53
stable
stable
null
0.7
0.0145
0.9
0
14
18
19
55.6
194.7
-100
40.8
9.5
76
67
80.9
46
87
1,626
111
1,048
34,044
1,337
9,017
318,668
11,051
9,237
87
99,367
101
164,037
199,619
101
25,371
342,811
101
507,174
677
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.4104
0.0889
0.5008
-0.0889
0.0392
0.6482
0.1324
0.382
-0.1324
0.158
0.656
0.2292
0.5362
-0.2292
0.0038
100
100
100
99,367
569,658
164,037
0.8634
0.2295
0.7799
0.1192
0.9404
48
0.36
787
6.1
0.6838
-7.2
-0.26
1,141
-4.4
0.0578
199,619
564,598
25,371
0.7302
0.2465
0.9665
0.1059
0.9523
50.5
0.47
2,393
5.7
0.7487
-9.7
-0.37
-465
-4
-0.0071
342,811
496,977
507,174
0.5343
Average
0.3309
0.3246
0.3938
0.7845
Strong
49.9
0.61
812
11.4
Average
0.6995
-9.1
-0.51
1,116
-9.7
0.0421
101
101
101
575
4
competitive
0.0239
31.83
6
89
5
0
2,449
1,026
competitive
0.008
1.27
0
93
7
0
6,641
5,034
competitive
0.0232
0.32
8
80
12
0
0.2243
0.556
-0.2243
-0.016
100
101
1,989
2,165
246
0.5183
0.4497
0.941
0.4904
0.719
50.7
0.54
2,405
6.6
0.7534
-9.9
-0.44
-477
-4.9
-0.0118
competitive
0.008
0.17
1
91
8
0
0.6245
1.27
0.58
0.1878
0.7259
-0.1878
-0.1859
100
101
36,844
45,603
12,317
0.6395
0.5427
0.8802
0.5436
0.7018
55.4
1.28
3,637
13.2
0.8691
-14.6
-1.18
-1,709
-11.5
-0.1275
competitive
0.0053
0.0002
1.28
0.01
0.6826
0.059
0.2307
-0.059
0.3093
791,801
41.1
0.94
531
20.4
0.4595
-0.3
-0.84
1,397
0.2821
0.4894
0.326
0.945
0.3375
0.7956
402,066
0.5771
-18.7
512,321
43,479
44.5
8.8
0
46.7
791,802
3,435
53.1
4.2
361
12.1
0.5366
12.7
0.52
1,161
0.2113
0.788
0.6153
0.9764
0.4415
0.7723
714
65.44
25.42
0.8008
3,435
1.14
8,740
1,455
0.2752
2,752.22
0.03
395,382
93
0.0092
91.98
5.71
99.01
0.64
99.01
5.38
99.01
0.63
99.01
0.28
99.01
-40.5
-4.37
406
-85.5
-61.4
null
null
null
null
null
-0.26
73,126
-0.1
0.65
99,365
0.863
-0.29
163,097
-0.218
0.66
199,610
0.73
-0.16
90,386
-0.116
0.41
342,802
0.534
-0.2
1,530
-0.368
0.62
1,989
0.518
-0.17
29,206
-0.283
0.68
36,844
0.64
0.7416
null
null
1,522
0
0
0
0
decelerating
0.23
1.63
7
7
31
112
0.816
0.822
0.822
0.545
0.672
142,983
148,636
148,433
7
48
decelerating
-0.3
null
89.88
NLFCUTDU
Chez Maman East
Food and Drink
Restaurants
French restaurant
French restaurant
1401 18th St, San Francisco, CA 94107
1401 18th St
San Francisco
California
Potrero Hill
Potrero Hill
94,107
US
true
37.762407
-122.396798
America/Los_Angeles
(415) 65*-****
2
OPERATIONAL
true
true
null
true
San Francisco
California
US
https
https://chezmamanrestos.com
chezmamanrestos.com
chezmamanrestos.com
com
2,281
2020-01-08
2027-01-08
Tucows Domains Inc.
null
null
0
0
0
"Neighborhood bistro cooking up home-style French fare like mussels & burgers in an intimate setting(...TRUNCATED)
true
true
3.54
1,695
{"1": 26, "2": 21, "3": 77, "4": 271, "5": 1315}
Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in
Fast service, Great coffee, Great dessert, Great wine list, Serves local specialty
Breakfast, Lunch, Dinner, Solo dining
Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating
Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Late-night food, Small plates, Wine
Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service
Bar onsite, Restroom
Casual, Cozy, Romantic, Trendy
Tourists
Usually a wait
Credit cards, Debit cards, NFC mobile payments
High chairs
true
true
purchase_dataset@
false
true
0
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
https://chezmamanrestos.com
null
null
2026-04-07T12:22:09.364463+00:00
0
0
1
2,749
57.5
69.4158
1.26
70.8
100
48.7
0.6485
null
0.6232
0.4359
0.5002
0.7984
0.9503
0.7323
81.2
75
null
null
null
100
0
0
86.84
13.16
0
88.89
8.64
2.47
stable
improving
null
6.2
0.123
8.3
0
8
38
81
-57.9
-60.5
-100
51.5
9.5
0
50
75.2
46
165
1,859
210
2,559
39,066
3,234
22,904
366,542
28,701
24,426
165
402,228
70
470,039
220,525
101
32,500
230,480
101
174,786
35
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.6585
0.1202
0.4884
-0.1202
0.1348
0.3884
0.0874
0.3682
-0.0874
0.255
0.6252
0.241
0.5366
-0.241
0.0866
100
69
100
402,228
502,873
470,039
0.4544
0.3191
0.3696
0.2717
0.7984
41
0.47
410
9.8
0.5874
10.5
3.07
1,285
38.9
0.0611
220,525
607,560
32,500
0.7027
0.1898
0.9571
0.0769
0.9503
50.1
0.41
2,207
5.1
0.7468
1.4
3.13
-512
43.6
-0.0983
230,480
360,533
174,786
0.6852
Below Average
0.5144
0.767
0.4542
0.7323
Average
51.6
0.88
1,587
12.9
Strong
0.6855
-0.1
2.66
108
35.8
-0.037
70
101
101
658
6
competitive
0.0565
21.96
47.8
47.8
4.3
0
3,293
1,418
competitive
0.0076
1.27
0
95
5
0
6,538
5,015
competitive
0.0106
0.32
4
77
19
0
0.2243
0.5538
-0.2243
0.0694
100
101
479
349
335
0.8823
0.916
0.9196
0.8944
0.5192
50.7
0.54
2,403
6.6
0.7546
0.8
3
-708
42.1
-0.1061
competitive
0.007
0.17
1
91
8
0
0.9036
1.27
0.58
0.1938
0.7252
-0.1938
-0.102
100
101
14,480
10,491
17,951
0.858
0.8977
0.8253
0.8822
0.5453
55.3
1.28
3,634
13.2
0.8701
-3.8
2.26
-1,939
35.5
-0.2216
competitive
0.0046
0.0002
1.28
0.01
0.8601
0.059
0.2307
-0.059
0.3925
791,801
41.1
0.94
531
20.4
0.4595
10.4
2.6
1,164
0.189
0.7926
0.8425
0.9301
0.7685
0.6582
162,574
0.8488
28.3
124,140
55,281
44.5
8.8
0
46.7
791,802
3,435
53.1
4.2
361
12.1
0.5366
13.7
0.45
812
0.3134
0.8203
0.5792
0.9549
0.977
0.9246
606
65.44
28.93
0.922
3,435
1.14
8,740
1,455
0.2749
2,749
0.03
395,382
93
0.0092
91.9
31.89
142.86
0.58
99.01
1.12
99.01
0.49
99.01
0.22
99.01
-22
-1.12
556
-43.9
-44
null
null
null
null
null
-0.23
223,938
-0.298
0.39
402,227
0.454
-0.32
184,003
-0.245
0.63
220,514
0.703
-0.07
51,456
-0.063
0.66
230,466
0.685
0.14
-1,090
0.265
0.9
479
0.882
0.06
-15,721
0.16
0.86
14,480
0.858
0.6485
null
null
1,173
0
0
0
0
decelerating
0.27
1.87
8
8
36
151
0.848
0.854
0.854
0.773
0.768
119,524
124,212
124,100
5
39
decelerating
-0.1
null
61.28
24R8LPSY
Coqueta
Food and Drink
Restaurants
Spanish restaurant
Spanish restaurant, Bar, Tapas restaurant
Pier 5 The Embarcadero, San Francisco, CA 94111
Pier 5 The Embarcadero
San Francisco
California
Northern Waterfront
Financial District
94,111
US
true
37.798582
-122.396639
America/Los_Angeles
(415) 70*-****
4
OPERATIONAL
true
true
null
true
San Francisco
California
US
https
https://coquetasf.com
coquetasf.com
coquetasf.com
com
4,868
2012-12-08
2026-12-08
GoDaddy.com, LLC
purchase_dataset@coquetasf.com, purchase_dataset@coquetasf.com, purchase_dataset@coquetasf.com
realdomain
3
3
0
"Michael Chiarello's Spanish enterprise offers tapas & family-style plates in classy digs with patio(...TRUNCATED)
true
true
0.08
2,790
{"1": 108, "2": 77, "3": 187, "4": 618, "5": 1810}
Outdoor seating, Delivery, Onsite services, Takeout, Dine-in
Great beer selection, Great cocktails, Great dessert, Great wine list, Serves local specialty
Lunch, Dinner, Solo dining
Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating
"Alcohol, Beer, Cocktails, Coffee, Happy hour drinks, Happy hour food, Hard liquor, Small plates, Ve(...TRUNCATED)
Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service
Bar onsite, Gender-neutral restroom, Restroom
Casual, Cozy, Romantic, Trendy, Upscale
Groups, Tourists
"Brunch reservations recommended, Lunch reservations recommended, Dinner reservations recommended, A(...TRUNCATED)
Credit cards, Debit cards, NFC mobile payments
High chairs
true
true
purchase_dataset@
true
true
4
2024-01-26
2026-01-26
802
71
24
802
802
71
71
https://www.instagram.com/coquetarestaurants
coquetarestaurants
https://www.facebook.com/coquetasf
coquetasf
https://twitter.com/coqueta_sf
coqueta_sf
null
null
https://www.linkedin.com/company/coqueta
coqueta
null
null
null
null
null
null
null
null
12,310
1.09
null
2.71
0.67
1.16
1,062
null
null
null
null
null
null
null
null
https://coquetasf.com/menu
https://coquetasf.com/reservations
https://coquetasf.com/reservations
2026-04-07T11:57:03.845287+00:00
1.41
0
0
2,760.75
14.4
69.4158
1.26
1.6
100
1.2
0.7066
null
0.4866
0.3981
0.4024
0.9189
0.94
0.8466
74.3
70.1
null
null
null
80
6.67
13.33
76.92
3.85
19.23
77.78
3.7
18.52
stable
improving
null
4.2
0.0842
6
0
15
26
27
15.4
122.2
-100
41.5
9.5
72
83
78.2
46
37
2,476
51
421
51,710
562
4,080
482,507
5,011
4,198
37
75,305
101
63,614
171,304
101
21,942
230,480
101
336,955
801
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.56
0.1573
0.5235
-0.1573
-0.0404
0.7309
0.1249
0.3463
-0.1249
0.1368
0.6939
0.2144
0.5445
-0.2144
-0.0614
100
100
100
75,305
497,179
63,614
0.896
0.3271
0.9146
0.1402
0.9189
49
0.48
1,115
6.7
0.6615
-7.5
-0.4
1,675
-5.5
0.0451
171,304
511,615
21,942
0.7685
0.3173
0.971
0.1207
0.94
51.1
0.55
2,517
6
0.7383
-9.6
-0.47
273
-4.8
-0.0317
230,480
444,079
336,955
0.6852
Strong
0.4019
0.5511
0.3806
0.8466
Strong
51.6
0.7
1,198
11.1
Average
0.7165
-10.1
-0.62
1,592
-9.9
-0.0099
101
101
101
724
93
competitive
0.0244
31.83
4
89
7
0
2,620
1,017
competitive
0.011
1.27
0
91
9
0
6,888
5,056
competitive
0.0228
0.32
3
82
15
0
0.2243
0.559
-0.2243
-0.0759
100
101
1,888
2,426
95
0.5423
0.3799
0.9774
0.4093
0.6386
50.8
0.54
2,387
6.6
0.7545
-9.3
-0.46
403
-5.4
-0.0479
competitive
0.0116
0.17
1
91
8
0
0.6241
1.27
0.58
0.1878
0.7293
-0.1878
-0.2462
100
101
35,194
55,030
3,836
0.6555
0.4523
0.9627
0.4636
0.6419
55.5
1.32
3,721
13.7
0.8682
-14
-1.24
-931
-12.5
-0.1616
competitive
0.0074
0.0002
1.28
0.01
0.6867
0.059
0.2307
-0.059
0.2524
791,801
41.1
0.94
531
20.4
0.4595
0.4
-0.86
2,259
0.2471
0.5096
0.2667
0.9746
0.2541
0.7437
385,945
0.5762
-19.2
556,571
20,124
44.5
8.8
0
46.7
791,802
3,435
53.1
4.2
361
12.1
0.5366
13.2
0.29
1,718
-0.0261
0.8063
0.475
0.9901
0.3326
0.3701
650
65.44
-14.86
0.2717
3,435
1.14
8,740
1,455
0.2731
2,730.98
0.03
395,382
93
0.0094
94.12
5.96
99.01
1.2
99.01
5.18
99.01
1.34
99.01
0.55
99.01
-38.2
-4.3
711
-84.2
-45
null
null
null
null
null
-0.2
52,133
-0.072
0.73
75,304
0.896
-0.24
132,154
-0.175
0.69
171,303
0.769
-0.15
80,567
-0.103
0.56
230,479
0.685
-0.15
1,191
-0.287
0.62
1,888
0.542
-0.13
23,495
-0.226
0.69
35,194
0.656
0.7066
null
null
2,079
0
0
0
0
decelerating
0.27
1.87
8
8
28
144
0.848
0.854
0.854
0.889
0.696
119,524
124,212
124,100
2
14
stable
-0.16
null
87.73
SC6DYHGT
Parada 22
Food and Drink
Restaurants
Puerto Rican restaurant
Puerto Rican restaurant
1805 Haight St, San Francisco, CA 94117
1805 Haight St
San Francisco
California
Haight-Ashbury
Haight-Ashbury
94,117
US
true
37.769197
-122.452131
America/Los_Angeles
(415) 75*-****
2
null
true
true
null
true
San Francisco
California
US
http
http://parada22.com
parada22.com
parada22.com
com
1,742
2021-06-30
2027-06-30
GoDaddy.com, LLC
purchase_dataset@aol.com
null
1
1
0
Good-sized portions of traditional entrees & sides, plus sangria in a bright, cozy space.
true
true
2.61
1,309
{"1": 52, "2": 27, "3": 63, "4": 194, "5": 981}
Outdoor seating, Delivery, Takeout, Dine-in
Fast service, Live music, Serves local specialty
Lunch, Dinner, Solo dining
Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating
"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Quick bite, Sma(...TRUNCATED)
Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service
Gender-neutral restroom, Restroom
Casual, Cozy, Trendy
Family-friendly, LGBTQ+ friendly, Tourists, Transgender safespace
null
Credit cards, Debit cards
Good for kids, High chairs
true
true
purchase_dataset@
true
true
4
2021-09-11
2022-02-27
1,669
1,500
12
1,669
1,669
1,500
1,500
https://www.instagram.com/parada22sf
parada22sf
https://www.facebook.com/parada22haight
parada22haight
https://twitter.com/parada_22
parada_22
null
null
https://www.linkedin.com/in/sally-navas-gamez-929133246
sally-navas-gamez-929133246
null
null
null
null
null
null
null
null
1,328
4.02
null
null
null
null
39
null
null
null
null
null
null
null
null
https://parada22.com
null
null
2026-04-07T11:18:32.744552+00:00
0.15
3.45
0.1
2,863.12
14.4
69.4158
1.26
52.2
100
43.4
0.5325
null
0.2403
0.2718
0.2791
0.8292
0.9428
0.8298
62
64
null
null
null
71.43
14.29
14.29
73.91
8.7
17.39
74.19
9.68
16.13
stable
stable
null
-2
-0.0388
-3.1
0
14
23
31
21.7
80.6
-100
59.5
32.8
84
83
57.3
46
196
2,295
255
3,848
47,875
4,773
39,555
451,890
49,436
42,441
196
299,535
59
428,051
235,870
101
55,258
188,671
101
36,880
51
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.7557
0.157
0.5688
-0.157
-0.3285
0.4533
0.0859
0.3429
-0.0859
-0.1026
0.5875
0.2078
0.5064
-0.2078
-0.2661
100
58
100
299,535
520,703
428,051
0.5926
0.2953
0.4258
0.3475
0.8292
42.9
0.44
450
11.5
0.6023
16.6
2.17
859
31.9
-0.0698
235,870
660,854
55,258
0.6828
0.1209
0.9271
0.0595
0.9428
49.8
0.33
1,926
4.7
0.7406
9.7
2.28
-617
38.7
-0.2081
188,671
315,118
36,880
0.7442
Average
0.576
0.9509
0.3344
0.8298
Average
52.5
1
2,391
10.1
Strong
0.7117
7
1.61
-1,082
33.3
-0.1792
59
101
101
474
14
competitive
0.0478
18.46
32.8
63.8
3.4
0
3,433
1,316
competitive
0.0068
1.27
1
94
5
0
5,758
5,015
competitive
0.0054
0.32
0
82
18
0
0.2243
0.5556
-0.2243
-0.3153
100
101
147
507
634
0.9649
0.8775
0.8477
0.872
0.347
50.6
0.51
2,406
6.2
0.755
8.9
2.1
-1,097
37.2
-0.2225
competitive
0.0054
0.17
1
91
8
0
0.9035
1.27
0.58
0.1778
0.7318
-0.1778
-0.4915
100
101
6,459
18,446
51,969
0.9364
0.8197
0.4952
0.8542
0.3983
55.4
1.3
3,760
13.3
0.8704
4.1
1.31
-2,451
30.1
-0.3379
competitive
0.0035
0.0002
1.28
0.01
0.769
0.059
0.2307
-0.059
0.0096
791,801
41.1
0.94
531
20.4
0.4595
18.4
1.67
778
0.073
0.9071
0.7371
0.8921
0.7363
0.5135
72,749
0.8516
23
207,022
85,340
44.5
8.8
0
46.7
791,802
3,435
53.1
4.2
361
12.1
0.5366
24.9
0.31
752
0.1653
0.993
0.509
0.9455
0.9342
0.684
24
65.44
14.99
0.4694
3,435
1.14
8,740
1,455
0.2752
2,752.47
0.03
395,382
93
0.0095
95.11
22.84
169.49
0.46
99.01
0.3
99.01
0.29
99.01
0.12
99.01
-26.1
-1.92
196
-45.6
-37.7
null
null
null
null
null
-0.17
140,623
-0.187
0.45
299,534
0.593
-0.34
184,821
-0.244
0.59
235,869
0.683
-0.06
70,543
-0.086
0.76
188,670
0.744
0.03
77
-0.017
0.9
147
0.965
-0.12
5,186
-0.05
0.77
6,459
0.936
0.5325
null
null
1,113
0.07
2
0
0.6
decelerating
0.07
0.47
2
2
18
42
0.732
0.739
0.74
0
0.6
156,567
163,872
163,540
1
4
decelerating
-0.4
null
46.22
8P5YWT92
Lolรณ
Food and Drink
Restaurants
Mexican restaurant
Mexican restaurant, Restaurant, Tapas restaurant
974 Valencia St, San Francisco, CA 94110
974 Valencia St
San Francisco
California
Dolores Heights
Mission
94,110
US
true
37.757382
-122.421362
America/Los_Angeles
(415) 64*-****
2
OPERATIONAL
true
true
null
true
San Francisco
California
US
http
http://lolosf.com
lolosf.com
lolosf.com
com
6,530
2008-05-21
2027-05-21
Dynadot Inc
purchase_dataset@gmail.com
null
1
1
0
Knickknacks decorate the colorful walls of this venue known for inventive Mexican small plates.
true
true
0.08
1,876
{"1": 22, "2": 36, "3": 124, "4": 386, "5": 1313}
Outdoor seating, Onsite services, Takeout, Dine-in
Fast service, Great beer selection, Great cocktails, Great wine list, Serves local specialty
Dinner, Solo dining
Wheelchair accessible entrance, Wheelchair accessible restroom, Wheelchair accessible seating
"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Healthy options, La(...TRUNCATED)
Dinner, Dessert, Seating, Table service
Bar onsite, Gender-neutral restroom, Restroom, Wi-Fi
Casual, Cozy, Trendy
Groups, Tourists
Dinner reservations recommended, Accepts reservations, Usually a wait
Credit cards, Debit cards, NFC mobile payments
Good for kids, High chairs
true
true
purchase_dataset@
true
true
4
2024-08-30
2025-11-10
585
148
12
585
585
148
148
https://www.instagram.com/lolorestaurantsf
lolorestaurantsf
https://www.facebook.com/lolorestaurantsf
lolorestaurantsf
null
null
https://www.tiktok.com/@lolosf2
lolosf2
https://www.linkedin.com/in/lolo-lolos-96a3a520
lolo-lolos-96a3a520
null
null
null
null
null
null
null
null
8,167
0.64
null
null
0.31
0.55
796
5
0
0
null
null
null
null
null
https://lolosf.com/dine-in
https://lolosf.com/reservations
https://lolosf.com/reservations
2026-04-07T11:14:45.722930+00:00
0.93
5.17
0
2,760.31
14.4
69.4158
1.26
1.6
100
1.2
0.7961
null
0.4198
0.4459
0.4459
0.9504
0.9526
0.6412
71
72.3
null
null
null
69.23
23.08
7.69
72.22
22.22
5.56
72.22
22.22
5.56
stable
stable
null
-1.3
-0.0261
-1.8
0
13
18
18
44.4
188.9
-100
44
35.1
60
83
77.5
46
98
3,580
128
1,327
77,563
1,679
11,013
700,164
13,531
11,304
98
94,244
101
137,516
194,655
101
35,672
248,639
101
115,430
805
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.6911
0.0782
0.4498
-0.0782
-0.03
0.674
0.2115
0.3746
-0.2115
0.0452
0.6518
0.2509
0.5368
-0.2509
-0.117
100
100
100
94,244
538,997
137,516
0.8705
0.2705
0.8154
0.1365
0.9504
48.2
0.41
846
6.6
0.6951
-4.2
-0.33
1,030
-5.4
0.101
194,655
571,723
35,672
0.7369
0.2371
0.9529
0.1009
0.9526
50.6
0.46
2,157
5.6
0.749
-6.6
-0.38
-281
-4.4
0.0471
248,639
315,118
115,430
0.6612
Strong
0.576
0.8461
0.4466
0.6412
Strong
51.3
1
1,818
12.7
Strong
0.6602
-7.3
-0.92
58
-11.5
0.1359
101
101
101
587
35
competitive
0.0217
31.83
11
83
6
0
3,551
1,037
competitive
0.0086
1.27
0
94
6
0
6,064
5,006
competitive
0.0102
0.32
6
74
20
0
0.2243
0.5516
-0.2243
-0.1318
100
101
1,505
2,426
267
0.6338
0.3799
0.9358
0.4093
0.8393
50.7
0.54
2,397
6.6
0.7536
-6.7
-0.46
-521
-5.4
0.0425
competitive
0.0078
0.17
1
91
8
0
0.6482
1.27
0.58
0.1778
0.7315
-0.1778
-0.3117
100
101
28,236
50,275
14,653
0.7233
0.4956
0.8574
0.4931
0.7952
55.3
1.29
3,697
13.3
0.8691
-11.3
-1.21
-1,821
-12.1
-0.073
competitive
0.005
0.0002
1.28
0.01
0.6952
0.059
0.2307
-0.059
0.1891
791,801
41.1
0.94
531
20.4
0.4595
2.9
-0.86
1,345
0.3366
0.5858
0.2667
0.942
0.2541
0.8703
325,463
0.597
-19.2
556,571
45,863
44.5
8.8
0
46.7
791,802
3,435
53.1
4.2
361
12.1
0.5366
10.5
-0.09
1,044
0.2637
0.707
0.2839
0.9732
0.3326
0.8637
995
65.44
26.47
0.8454
3,435
1.14
8,740
1,455
0.2743
2,742.76
0.03
395,382
93
0.0094
93.51
4.7
99.01
0.74
99.01
1.04
99.01
0.6
99.01
0.25
99.01
-39.6
-4.47
472
-88.5
-35.4
null
null
null
null
null
-0.25
73,058
-0.1
0.67
94,241
0.871
-0.29
158,133
-0.211
0.65
194,651
0.737
0.02
9,870
-0.007
0.69
248,635
0.661
-0.22
1,289
-0.312
0.65
1,505
0.634
-0.2
24,834
-0.242
0.7
28,236
0.723
0.7961
null
null
1,405
0.1
3
0.795
0.898
decelerating
0.1
0.7
3
3
16
89
0.834
0.839
0.839
0.795
0.898
104,497
109,172
109,042
34
532
decelerating
-0.07
null
92.8
ZTFHCFZN
IHOP
Food and Drink
Restaurants
Breakfast restaurant
"Breakfast restaurant, American restaurant, Brunch restaurant, Diner, Family restaurant, Lunch resta(...TRUNCATED)
200 Beach St, San Francisco, CA 94133
200 Beach St
San Francisco
California
Fisherman's Wharf
North Waterfront
94,133
US
true
37.807853
-122.412645
America/Los_Angeles
(415) 65*-****
1
OPERATIONAL
true
true
null
true
San Francisco
California
US
https
https://restaurants.ihop.com/en-us/ca/san-francisco/breakfast-200-beach-st-1762
restaurants.ihop.com/en-us/ca/san-francisco/breakfast-200-beach-st-1762
restaurants.ihop.com
com
10,602
1997-03-26
2028-03-27
MarkMonitor, Inc.
null
null
0
0
0
Long-standing chain serving a wide variety of pancakes & other American breakfast & diner fare.
true
true
3.83
2,904
{"1": 231, "2": 105, "3": 336, "4": 763, "5": 1476}
Curbside pickup, Delivery, Onsite services, Takeout, Dine-in
Great coffee, Great dessert
Breakfast, Solo dining
Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating
"Coffee, Comfort food, Happy hour food, Organic dishes, Quick bite, Salad bar, Small plates, Vegetar(...TRUNCATED)
Breakfast, Brunch, Lunch, Dinner, Dessert, Seating
Restroom
Casual, Cozy, Quiet
College students, Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace
null
Credit cards, Debit cards
Good for kids, High chairs, Kids' menu
true
true
purchase_dataset@
true
true
6
2025-09-19
2026-03-27
200
11
114
200
200
11
11
https://www.instagram.com/ihop
ihop
https://www.facebook.com/p/ihop-miami-beach-100066618834157
ihop-miami-beach-100066618834157
https://twitter.com/ihop
ihop
https://www.tiktok.com/@ihop
ihop
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
122,900
629
1,700,000
0.11
null
0.82
0.89
0.11
https://ihop.com/en/menu?storenumber=1762&action=viewmenu
null
null
2026-04-07T10:47:28.019971+00:00
86.57
1.72
0
2,769.24
9.6
69.4158
1.25
76.6
100
25.1
0.3962
null
0.3951
0.2373
0.1968
0.8799
0.9513
0.8272
69.8
59.8
null
null
null
70
30
0
61.9
38.1
0
61.4
36.84
1.75
stable
improving
null
10
0.1983
16.7
0
10
21
57
-4.8
-29.8
-100
60.3
27.4
76
67
69.9
46
264
4,222
357
5,817
91,697
7,344
64,383
814,119
84,452
69,495
264
70,398
101
11,801
235,870
101
49,331
236,575
101
242,855
28
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.6045
0.1673
0.5172
-0.1673
-0.1221
0.8495
0.1032
0.4152
-0.1032
-0.0201
0.5923
0.2052
0.506
-0.2052
-0.1109
100
100
100
70,398
262,609
11,801
0.9025
0.6441
0.9842
0.3559
0.8799
49.2
1.01
1,963
11.7
0.6319
11.1
2.82
941
13.4
-0.2357
235,870
654,456
49,331
0.6828
0.1291
0.9349
0.0524
0.9513
49.8
0.34
1,989
4.5
0.7477
10.5
3.49
915
20.6
-0.3515
236,575
419,584
242,855
0.6773
Market Leader
0.4356
0.6763
0.3715
0.8272
Average
51.5
0.75
1,399
10.9
Average
0.711
8.8
3.08
1,505
14.2
-0.3148
101
101
101
586
98
competitive
0.0146
31.83
16
65
19
0
2,566
1,066
competitive
0.0144
1.27
0
96
4
0
6,550
5,031
competitive
0.0203
0.32
2
82
16
0
0.2243
0.548
-0.2243
-0.1529
100
101
130
315
86
0.9678
0.9237
0.9793
0.8306
0.2286
50.7
0.54
2,407
6.6
0.7534
9.6
3.29
497
18.5
-0.3572
competitive
0.0119
0.17
1
91
8
0
0.958
1.27
0.58
0.1778
0.729
-0.1778
-0.3339
100
101
5,758
9,361
3,113
0.9434
0.9087
0.9697
0.7396
0.2733
55.3
1.28
3,660
13.2
0.8682
5
2.55
-756
11.9
-0.472
competitive
0.0079
0.0002
1.28
0.01
0.9409
0.059
0.2307
-0.059
0.1644
791,801
41.1
0.94
531
20.4
0.4595
19.2
2.89
2,373
-0.0633
0.9153
0.8625
0.9768
0.639
0.3762
66,236
0.9179
4.7
108,370
18,387
44.5
8.8
0
46.7
791,802
3,435
53.1
4.2
361
12.1
0.5366
15.3
-0.34
699
-0.1404
0.8739
0.1843
0.9278
0.975
0.242
424
65.44
7.46
0.3861
3,435
1.14
8,740
1,455
0.2754
2,753.54
0.03
395,382
93
0.0093
92.56
2.12
99.01
2.07
99.01
4.14
99.01
1.42
99.01
0.62
99.01
-9.8
-0.04
1,844
-44.5
-23.1
null
null
null
null
null
-0.07
30,717
-0.043
0.85
70,396
0.903
-0.34
188,236
-0.249
0.59
235,864
0.683
-0.15
86,662
-0.111
0.6
236,568
0.677
0.44
-1,884
0.458
0.96
130
0.968
0.37
-35,536
0.354
0.94
5,758
0.943
0.3962
null
null
1,060
0.03
1
0.559
0.407
decelerating
0.03
0.23
1
1
11
58
0.507
0.515
0.517
0.559
0.407
253,363
266,224
265,236
10
327
decelerating
-0.07
null
70.38
ESGJCZ88
Benihana - San Francisco
Food and Drink
Restaurants
Japanese restaurant
Japanese restaurant, Teppanyaki restaurant
1737 Post St, San Francisco, CA 94115
1737 Post St
San Francisco
California
Japantown
Lower Pacific Heights
94,115
US
true
37.785251
-122.430673
America/Los_Angeles
(415) 56*-****
4
OPERATIONAL
true
true
null
true
San Francisco
California
US
https
https://benihana.com/locations/san-francisco
benihana.com/locations/san-francisco
benihana.com
com
10,505
1997-07-02
2026-09-22
Network Solutions, LLC
null
null
0
0
0
Hibachi chain serving Japanese dishes grilled tableside by theatrical chefs.
true
true
3.75
2,309
{"1": 292, "2": 113, "3": 196, "4": 395, "5": 1347}
Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in
Great beer selection, Great cocktails, Great tea selection, Great wine list
Lunch, Dinner
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
"Alcohol, Beer, Cocktails, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, Late-night(...TRUNCATED)
Lunch, Dinner, Dessert, Table service
Bar onsite, Restroom
Casual, Lively, Trendy
Family-friendly, Groups, LGBTQ+ friendly, Tourists
"Lunch reservations recommended, Dinner reservations recommended, Accepts reservations, Usually a wa(...TRUNCATED)
Credit cards, Debit cards
Good for kids, Good for kids birthday, High chairs, Kids' menu
true
true
purchase_dataset@
false
true
0
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
https://benihana.com/menu
https://benihana.com/reservations
https://benihana.com/reservations
2026-04-07T10:34:36.615625+00:00
0
3.45
0.6
2,752.22
57.5
69.4158
1.26
75
100
32.7
0.3819
null
0.6594
0.6274
0.6161
0.9213
0.9526
0.7326
83
80.8
null
null
null
83.54
16.46
0
81.63
17.69
0.68
81.06
18.43
0.51
stable
stable
null
2.2
0.0433
2.7
0
79
147
396
7.5
-20.2
-100
53.9
32.8
0
50
78.8
46
191
4,336
246
3,581
94,277
4,450
36,264
836,080
45,206
38,875
191
151,761
101
205,715
220,525
101
23,119
307,031
101
457,645
29
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.4635
0.0894
0.4924
-0.0894
0.1698
0.5784
0.1327
0.3825
-0.1327
0.2797
0.6513
0.1995
0.5413
-0.1995
0.1209
100
100
100
151,761
631,208
205,715
0.7923
0.1478
0.7238
0.0841
0.9213
46.3
0.26
714
5
0.6637
7.6
3.49
1,595
27.7
-0.2818
220,525
551,441
23,119
0.7027
0.2644
0.9695
0.1157
0.9526
50.1
0.49
2,470
5.9
0.749
3.8
3.26
-161
26.8
-0.3671
307,031
460,810
457,645
0.5819
Average
0.3787
0.3905
0.3895
0.7326
Strong
50.4
0.67
934
11.3
Average
0.6856
3.5
3.08
1,375
21.4
-0.3037
101
101
101
532
16
competitive
0.0313
31.83
13
83
4
0
2,562
1,039
competitive
0.0093
1.27
1
92
7
0
7,179
5,130
competitive
0.0241
0.32
7
79
14
0
0.2243
0.556
-0.2243
0.1062
100
101
284
320
157
0.9314
0.9228
0.9625
0.8424
0.2233
50.7
0.54
2,405
6.6
0.7534
3.2
3.21
-96
26.1
-0.3715
competitive
0.0095
0.17
1
91
8
0
0.9381
1.27
0.58
0.1878
0.7267
-0.1878
-0.0645
100
101
11,631
9,726
7,433
0.8861
0.905
0.9278
0.8072
0.2613
55.3
1.28
3,641
13.2
0.8696
-1.4
2.47
-1,332
19.5
-0.4877
competitive
0.0063
0.0002
1.28
0.01
0.9043
0.059
0.2307
-0.059
0.4315
791,801
41.1
0.94
531
20.4
0.4595
12.8
2.81
1,778
-0.0776
0.8363
0.8571
0.9619
0.6762
0.3637
128,397
0.8802
12.3
112,214
30,174
44.5
8.8
0
46.7
791,802
3,435
53.1
4.2
361
12.1
0.5366
9.2
-0.41
762
-0.1547
0.6605
0.1645
0.947
0.972
0.2318
1,153
65.44
4.17
0.364
3,435
1.14
8,740
1,455
0.2752
2,752.22
0.03
395,382
93
0.0092
92.08
9.81
99.01
0.86
99.01
5.81
99.01
0.9
99.01
0.4
99.01
-15
-0.05
1,186
-35.5
-47.4
null
null
null
null
null
-0.3
118,239
-0.161
0.58
151,752
0.792
-0.29
181,375
-0.241
0.65
220,473
0.703
-0.09
33,686
-0.04
0.46
306,976
0.582
0.43
-1,878
0.456
0.94
284
0.931
0.35
-34,022
0.34
0.9
11,631
0.886
0.3819
null
null
1,123
0.07
2
0.518
0.765
decelerating
0.07
0.47
2
2
82
400
0.732
0.739
0.74
0.518
0.765
156,567
163,872
163,540
37
220
decelerating
-0.6
null
68.74
DEVQKNR5
In-N-Out Burger
Food and Drink
Restaurants
Hamburger restaurant
"Hamburger restaurant, American restaurant, Diner, Fast food restaurant, Lunch restaurant, Restauran(...TRUNCATED)
333 Jefferson St, San Francisco, CA 94133
333 Jefferson St
San Francisco
California
Fisherman's Wharf
North Waterfront
94,133
US
true
37.807795
-122.418512
America/Los_Angeles
(800) 78*-****
2
OPERATIONAL
true
true
null
true
San Francisco
California
US
https
https://locations.in-n-out.com/154
locations.in-n-out.com/154
locations.in-n-out.com
com
11,141
1995-10-03
2026-10-02
GoDaddy.com, LLC
null
null
0
0
0
Classic burger chain serving customizable burgers, hand-cut fries & shakes.
true
true
0.09
12,402
{"1": 334, "2": 425, "3": 1348, "4": 3067, "5": 7329}
Drive-through, Onsite services, Takeout
Serves local specialty
Lunch, Dinner, Solo dining
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
Beer, Coffee, Comfort food, Late-night food, Quick bite, Wine
Lunch, Dinner, Counter service, Dessert, Seating
Restroom
Casual, Trendy
College students, Family-friendly, Groups, Tourists
Usually a wait
Credit cards, Debit cards, NFC mobile payments
Good for kids, High chairs
true
true
purchase_dataset@
true
true
1
2025-11-06
2026-02-24
152
42
36
152
152
42
42
https://www.instagram.com/innout
innout
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
979,438
0.65
null
0.91
0.65
0.65
652
null
null
null
null
null
null
null
null
https://in-n-out.com/menu.aspx
null
null
2026-04-07T08:32:28.641098+00:00
112.06
11.58
0.3
1,837.69
94.4
69.4158
0.92
1.8
100
0.5
0.5164
null
0.616
0.5123
0.4739
0.674
0.9502
0.8505
80.8
73.7
null
null
null
82.35
17.65
0
76.27
22.03
1.69
74.6
23.81
1.59
stable
improving
null
7.1
0.1421
9.6
0
34
59
63
15.3
115.9
-100
39.1
27.4
36
67
79.4
46
6
3,297
8
53
70,679
82
633
643,739
802
656
6
151,761
101
24,014
209,765
101
33,176
242,544
101
267,621
738
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.5694
0.167
0.5258
-0.167
0.0902
0.8005
0.0686
0.3494
-0.0686
0.2666
0.6361
0.2239
0.5225
-0.2239
0.0935
100
100
100
151,761
262,609
24,014
0.7923
0.6441
0.9678
0.3887
0.674
46.3
1.01
1,538
12.5
0.5392
-7.2
-0.92
10,864
-12
-0.0228
209,765
593,185
33,176
0.7165
0.2087
0.9562
0.0864
0.9502
50.3
0.43
2,196
5.3
0.7467
-11.2
-0.34
10,206
-4.8
-0.2303
242,544
473,101
267,621
0.6692
Market Leader
0.3625
0.6432
0.3152
0.8505
Average
51.4
0.65
1,345
9.7
Average
0.7177
-12.3
-0.56
11,057
-9.2
-0.2013
101
101
101
505
33
competitive
0.0746
31.83
28
56
16
0
2,619
1,010
competitive
0.0535
1.27
0
94
6
0
6,641
5,008
competitive
0.0844
0.32
1
84
15
0
0.2243
0.548
-0.2243
0.068
100
101
2,218
2,289
3
0.4641
0.4167
0.9995
0.3277
0.3323
50.7
0.54
2,407
6.6
0.7534
-11.6
-0.45
9,995
-6.1
-0.237
competitive
0.049
0.17
1
91
8
0
0.6105
1.27
0.58
0.1925
0.7265
-0.1925
-0.1105
100
101
42,348
51,934
20
0.5855
0.4795
0.9998
0.3835
0.3841
55.6
1.31
3,635
13.7
0.8677
-16.5
-1.22
8,767
-13.2
-0.3513
competitive
0.033
0.0002
1.28
0.01
0.678
0.059
0.2307
-0.059
0.3853
791,801
41.1
0.94
531
20.4
0.4595
-2
-0.85
11,871
0.0569
0.4422
0.2971
0.9995
0.1585
0.496
439,527
0.5658
-19.9
533,656
425
44.5
8.8
0
46.7
791,802
158
45.5
3.75
282
11.8
0.3952
15.2
0.47
3,478
0.135
0.8025
0.3758
1
0.414
0.6178
32
54.12
20.7
0.5287
158
1.14
8,740
1,455
0.2754
2,753.54
0.03
395,382
93
0.0092
91.94
55.71
99.01
28.58
99.01
71.23
99.01
24.02
99.01
10.89
99.01
-32.8
-4.06
8,642
-77.2
-21.2
null
null
null
null
null
-0.06
61,091
-0.082
0.8
151,761
0.792
-0.3
170,615
-0.227
0.64
209,765
0.717
-0.18
124,416
-0.161
0.57
242,544
0.669
0.01
455
-0.106
0.61
2,218
0.464
0.02
6,813
-0.06
0.68
42,348
0.586
0.5164
null
null
3,760
0.03
1
0.391
0.488
decelerating
0.03
0.23
1
1
36
154
0.507
0.515
0.517
0.391
0.488
253,363
266,224
265,236
20
523
decelerating
-0.34
null
76.14
GR3A86BZ
El Pollo Supremo
Food and Drink
Restaurants
Chicken restaurant
Chicken restaurant, Mexican restaurant
5210 Mission St, San Francisco, CA 94112
5210 Mission St
San Francisco
California
Cayuga Terrace
Outer Mission
94,112
US
true
37.715574
-122.442024
America/Los_Angeles
(415) 33*-****
1
OPERATIONAL
true
true
null
true
San Francisco
California
US
http
http://elpollosupremosf.com
elpollosupremosf.com
elpollosupremosf.com
com
4,884
2012-11-21
2032-11-21
GoDaddy.com, LLC
purchase_dataset@elpollosupremosf.com, purchase_dataset@elpollosupremosf.com
realdomain
2
0
2
"Casual, counter-serve spot known for charbroiled chicken & fried fish plus Mexican & Cuban classics(...TRUNCATED)
true
true
0.13
1,325
{"1": 104, "2": 53, "3": 118, "4": 264, "5": 787}
Delivery, Onsite services, Takeout, Dine-in
Serves local specialty
Lunch, Dinner, Solo dining
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
Coffee, Comfort food, Healthy options, Quick bite, Small plates
Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating
Restroom
Casual
Family-friendly, Groups, LGBTQ+ friendly, Tourists
Usually a wait
Credit cards, Debit cards, NFC mobile payments
Good for kids, High chairs, Kids' menu
true
true
purchase_dataset@
true
true
5
2023-08-26
2025-11-27
955
131
42
955
955
131
131
https://www.instagram.com/elpollosupremosf
elpollosupremosf
https://www.facebook.com/elpollosupremosf
elpollosupremosf
https://twitter.com/alittleyum
alittleyum
https://www.tiktok.com/@elpollosupremosf
elpollosupremosf
https://www.linkedin.com/company/pollo-supremo
pollo-supremo
null
null
null
null
null
null
null
null
2,126
55.7
null
null
0.63
2.03
236
134
6
929
4.05
null
null
3.53
4.05
https://beyondmenu.com/35221/san-francisco/el-pollo-supremo-san-francisco-94112.aspx
null
null
2026-04-07T06:26:59.287138+00:00
0.46
0
0.4
5,186.62
22.5
130.5842
0.67
2.6
100
2
0.5937
null
-0.0046
0.5538
0.571
0.7431
0.8719
0.9097
49.8
78.5
null
null
null
50
50
0
84
12
4
84.62
11.54
3.85
stable
declining
null
-28.7
-0.5756
-36.6
0
4
25
26
-68
-38.5
-100
45.5
9.5
92
100
60.5
100
274
2,554
373
6,057
53,902
7,667
67,449
502,717
88,838
72,799
274
590,468
62
637,805
406,389
174
478,908
224,741
188
237,435
499
3,610
6,957
88,794
166,101
733,669
1,458,104
733,669
0.5667
0.2989
0.5556
-0.2989
-0.5602
0.1895
-0.026
0.2088
0.026
-0.2134
0.3372
0.2156
0.4729
-0.2156
-0.4775
187
61
173
590,468
581,943
637,805
0.205
0.2129
0.1453
0.2367
0.7431
37
0.34
244
9
0.564
8.5
-0.21
1,081
-7
0.0297
406,389
641,290
478,908
0.4573
0.1463
0.368
0.1418
0.8719
46.6
0.36
693
6.4
0.6944
-1.1
-0.23
632
-4.4
-0.1007
224,741
533,872
237,435
0.6933
Emerging
0.2809
0.6835
0.2803
0.9097
Below Average
51.7
0.55
1,412
9
Average
0.7411
-6.2
-0.42
-87
-7
-0.1474
62
174
188
509
18
competitive
0.0819
19.42
67.2
31.1
1.6
0
3,926
1,216
competitive
0.0109
2.2
19.7
76.9
3.5
0
7,865
5,021
competitive
0.005
0.6
1.1
89.8
8.6
0.5
0.308
0.5729
-0.308
-0.5775
189
190
1,524
2,995
182
0.6297
0.2486
0.9564
0.1145
0.4389
52.3
0.63
1,540
10.2
0.7438
-6.8
-0.5
-215
-8.2
-0.1501
competitive
0.0045
0.31
0.5
87.8
11.1
0.5
0.6134
0.67
1.13
0.1594
0.6835
-0.1594
-0.6881
200
201
44,145
76,925
4,759
0.5682
0.2405
0.9509
0.2212
0.6172
62.6
2.51
2,302
36.3
0.77
-17.1
-2.38
-977
-34.3
-0.1763
competitive
0.0029
0.0005
0.64
0.03
0.5847
0.059
0.2307
-0.059
-0.2353
791,801
41.1
0.94
531
20.4
0.4595
4.4
-0.81
794
0.1342
0.6323
0.3979
0.8942
0.3812
0.5849
288,676
0.6405
-18.4
461,663
83,712
44.5
8.8
0
46.7
791,802
3,435
53.1
4.2
361
12.1
0.5366
13.5
0.25
694
0.0517
0.8154
0.4586
0.9246
0.5186
0.475
625
65.44
19.42
0.5652
3,435
2.16
4,624
1,455
0.3331
3,331.16
0.05
197,691
93
0.0116
116.45
67.04
161.29
1.19
57.47
0.25
53.19
0.21
52.63
0.08
49.75
-33
-4.07
273
-77.6
-31
null
null
null
null
null
-0.2
190,529
-0.246
0.19
590,467
0.205
-0.42
290,873
-0.383
0.34
406,388
0.457
-0.33
141,884
-0.187
0.57
224,740
0.693
-0.07
674
-0.159
0.61
1,524
0.63
-0.14
29,098
-0.28
0.58
44,145
0.568
0.5937
null
null
1,055
0
0
0
0
decelerating
0.1
0.7
3
3
29
93
0.557
0.57
0.571
0.556
0.505
331,227
345,950
344,596
10
589
decelerating
-0.07
null
85.67
End of preview. Expand in Data Studio

Top 30% Active Restaurant Whales in San Francisco, US

Free sample dataset from BeamStation

--High-Volume, Active targets--

Popular restaurants sitting in the Top 10% of their local market for proven foot traffic and review volume within the last 30 days and a market scope of 10โ€ฏkm. These are the highestโ€‘velocity, actively transacting accounts for payment processing, POS systems, and supply chain sales. Validated by an "Active Heartbeat" signal.

This dataset, Top 30% Active Restaurant Whales in San Francisco, US, contains 992 records of Sanโ€ฏFranciscoโ€‘based eateries that meet the above criteria. It is refreshed weekly, ensuring the list reflects the most current highโ€‘traffic establishments. Users such as payment processors, POS vendors, and supplyโ€‘chain analysts can leverage this list to identify and target the most active restaurant accounts in the Bay Area for outreach, partnership development, or marketโ€‘sizing efforts.

Access the dataset directly via the provided URL: https://beamstation.com/datasets/313555/

Dataset Details

Field Value
Full dataset 992 records
Sample size 99 records
Location San Francisco
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/top-30-active-restaurant-whales-in-san-francisco-us-313555")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 992 records and unmasked contact data is available at:

Top 30% Active Restaurant Whales in San Francisco, US on BeamStation

License

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

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