Dataset Viewer
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beam_id
stringlengths
8
8
title
stringlengths
6
92
category_main_group
stringclasses
1 value
category_sub_group
stringclasses
1 value
category
stringlengths
5
31
categories
stringlengths
5
196
address
stringlengths
30
73
street
stringlengths
11
35
city
stringlengths
4
17
state
stringclasses
1 value
borough
stringlengths
5
43
neighborhood
stringclasses
20 values
postal_code
int64
75k
79.9k
country
stringclasses
1 value
address_verified
bool
2 classes
latitude
float64
26.2
33.3
longitude
float64
-106.22
-94.73
timezone
stringclasses
2 values
phone
stringlengths
14
14
price_level
int64
0
3
business_status
stringclasses
2 values
has_open_hours
bool
2 classes
has_price
bool
2 classes
census_place
stringclasses
3 values
verified_census_city
bool
2 classes
beam_location_name
stringlengths
4
17
beam_state_code
stringclasses
1 value
beam_country_code
stringclasses
1 value
website_protocol
stringclasses
2 values
website
stringlengths
17
130
website_normalized
stringlengths
10
122
website_domain
stringlengths
10
34
website_domain_tld
stringclasses
5 values
website_domain_age
float64
97
11.8k
website_domain_registered
stringdate
1993-12-07 00:00:00
2026-01-24 00:00:00
website_domain_expires
stringdate
2026-05-08 00:00:00
2035-02-20 00:00:00
website_domain_registrar
stringclasses
22 values
emails_list
stringlengths
26
472
emails_list_website_domain
stringclasses
1 value
emails_count
int64
0
15
emails_deliverable_count
int64
0
12
emails_risky_count
int64
0
10
description
stringlengths
67
100
has_about
bool
1 class
has_description
bool
2 classes
rating
float64
3.38
4.98
reviews_total_count
int64
100
1.28k
reviews_per_rating
stringlengths
42
52
service_options
stringlengths
16
113
highlights
stringlengths
6
159
popular_for
stringclasses
9 values
accessibility
stringclasses
7 values
offerings
stringlengths
12
192
dining_options
stringlengths
5
92
amenities
stringclasses
7 values
atmosphere
stringclasses
12 values
crowd
stringclasses
18 values
planning
stringclasses
6 values
payments
stringclasses
5 values
children
stringclasses
10 values
has_popular_times
bool
2 classes
has_website
bool
2 classes
has_email
stringclasses
1 value
has_social
bool
1 class
has_phone
bool
2 classes
socials_count
int64
1
9
first_social_post_date
stringlengths
10
10
last_social_post_date
stringlengths
10
10
first_social_post_days
float64
121
3.16k
last_social_post_days
float64
20
1.34k
social_post_count
float64
6
117
first_social_post_days_min
float64
121
3.16k
first_social_post_days_max
float64
121
3.16k
last_social_post_days_min
float64
20
1.34k
last_social_post_days_max
float64
20
1.34k
social_profile_instagram
stringlengths
30
51
social_username_instagram
stringlengths
6
25
social_profile_facebook
stringlengths
29
77
social_username_facebook
stringlengths
5
50
social_profile_twitter
stringlengths
26
35
social_username_twitter
stringlengths
6
15
social_profile_tiktok
stringlengths
30
46
social_username_tiktok
stringlengths
6
22
social_profile_linkedin
stringlengths
39
65
social_username_linkedin
stringlengths
6
37
social_profile_youtube
stringlengths
34
56
social_username_youtube
stringlengths
6
24
social_profile_github
stringclasses
4 values
social_username_github
stringclasses
4 values
social_profile_snapchat
float64
social_username_snapchat
float64
social_profile_pinterest
stringclasses
8 values
social_username_pinterest
stringclasses
8 values
instagram_followers
float64
41
6.08M
instagram_engagement_rate
float64
0.03
329
instagram_engagement_rate_1m
float64
instagram_engagement_rate_3m
float64
0.02
130
instagram_engagement_rate_6m
float64
0.03
78.2
instagram_engagement_rate_12m
float64
0.03
65.2
instagram_post_count
float64
3
7.45k
tiktok_followers
float64
3
1.53M
tiktok_video_count
float64
0
675
tiktok_heart_count
float64
0
16.5M
tiktok_engagement_rate
float64
0.31
14.3
tiktok_engagement_rate_1m
float64
1.07
6.02
tiktok_engagement_rate_3m
float64
0.26
15
tiktok_engagement_rate_6m
float64
0.31
14.3
tiktok_engagement_rate_12m
float64
0.31
14.3
menu_link
stringlengths
19
110
order_links
float64
reservation_link
float64
last_updated_at
stringlengths
32
32
beam_cross_social_market_penetration
float64
0
38.9k
beam_cross_velocity_quality
float64
0
384
beam_cross_social_urgency
float64
0
5.2
beam_cross_per_capita_engagement
float64
771
183k
beam_cross_market_saturation_lead
float64
6.7
23.6k
beam_cross_population_adjusted_rank
float64
17.5
434
beam_cross_demand_gap_index
float64
0
5.14
beam_rating_score
float64
67.6
99.6
beam_review_confidence
float64
66.8
100
beam_rating_health
float64
55.9
99.4
sentiment_avg
float64
0.14
0.97
sentiment_avg_30d
float64
-0.62
1
sentiment_avg_90d
float64
-0.5
0.99
sentiment_avg_180d
float64
-0.31
0.96
sentiment_avg_360d
float64
-0.07
0.97
sentiment_percentile_1km
float64
0
1
sentiment_percentile_5km
float64
0.05
1
sentiment_percentile_10km
float64
0
1
sentiment_score_90d
float64
25
99.7
sentiment_score_360d
float64
46.5
98.4
sentiment_positive_pct_30d
float64
0
100
sentiment_negative_pct_30d
float64
0
78.6
sentiment_neutral_pct_30d
float64
0
100
sentiment_positive_pct_90d
float64
15.9
100
sentiment_negative_pct_90d
float64
0
77.4
sentiment_neutral_pct_90d
float64
0
81.8
sentiment_positive_pct_180d
float64
32.8
98.6
sentiment_negative_pct_180d
float64
0
65.6
sentiment_neutral_pct_180d
float64
0
59
sentiment_positive_pct_360d
float64
45.5
99.2
sentiment_negative_pct_360d
float64
0.84
52.2
sentiment_neutral_pct_360d
float64
0
41.9
sentiment_trend_30vs90d
stringclasses
3 values
sentiment_trend_90vs360d
stringclasses
3 values
sentiment_diff_30vs90d
float64
-1.12
0.26
sentiment_change_360d
float64
-29.3
26.1
sentiment_diff_90vs360d
float64
-0.59
0.52
sentiment_change_pct_360d
float64
-46.2
38.8
reviews_count_30d
int64
9
128
reviews_count_90d
int64
18
339
reviews_count_180d
int64
41
1.11k
reviews_count_360d
int64
66
1.91k
review_growth_pct_180d
float64
-71.7
97.3
review_growth_pct_360d
float64
-78.2
293
review_growth_pct_90d
float64
-88.3
122
beam_score_overall
float64
70.1
87.2
beam_popularity_percentile
float64
9.5
84.1
beam_social_presence
int64
8
100
beam_data_completeness
int64
10
100
beam_price_value
float64
36.6
99.6
beam_data_freshness
float64
32
34
beam_rank_city_category
int64
1
33.9k
beam_rank_city_overall
int64
2
20.6k
beam_rank_city_reviews
int64
1
48.6k
beam_rank_state_category
int64
16
47.8k
beam_rank_state_overall
int64
12k
114k
beam_rank_state_reviews
int64
2.63k
73.8k
beam_rank_country_category
int64
79
505k
beam_rank_country_overall
int64
123k
1.28M
beam_rank_country_reviews
int64
24.2k
815k
beam_rank_place_global_category
int64
80
542k
beam_rank_category
int64
1
33.9k
beam_rank_competition_1km_category
int64
1
39
beam_rank_competition_1km_total
int64
1
124
beam_rank_competition_1km_reviews
int64
1
57
beam_rank_competition_5km_category
int64
1
145
beam_rank_competition_5km_total
int64
1
163
beam_rank_competition_5km_reviews
int64
1
143
beam_rank_competition_10km_category
float64
1
164
beam_rank_competition_10km_total
float64
1
167
beam_rank_competition_10km_reviews
float64
1
163
beam_export_rank
int64
4
1.2k
total_city_category
int64
1
14.6k
total_city
int64
2
54.1k
total_state_category
int64
105
76.4k
total_state
int64
145k
145k
total_country_category
int64
1.5k
787k
total_country
int64
1.6M
1.6M
total_category_global
int64
1.5k
787k
beam_competitors_10km_competitive_strength
float64
0.15
1
beam_competitors_10km_competitor_avg_sentiment_30d
float64
-0.07
0.22
beam_competitors_10km_competitor_avg_sentiment_90d
float64
0
0.73
beam_competitors_10km_sentiment_diff_30d
float64
-0.22
0.07
beam_competitors_10km_sentiment_diff_90d
float64
-0.76
0.79
beam_competitors_1km_competitive_strength
float64
0.47
1
beam_competitors_1km_competitor_avg_sentiment_30d
float64
-0.04
0.23
beam_competitors_1km_competitor_avg_sentiment_90d
float64
-0
0.61
beam_competitors_1km_sentiment_diff_30d
float64
-0.23
0.04
beam_competitors_1km_sentiment_diff_90d
float64
-0.82
1
beam_competitors_5km_competitive_strength
float64
0.06
0.97
beam_competitors_5km_competitor_avg_sentiment_30d
float64
-0.06
0.2
beam_competitors_5km_competitor_avg_sentiment_90d
float64
0.1
0.67
beam_competitors_5km_sentiment_diff_30d
float64
-0.2
0.06
beam_competitors_5km_sentiment_diff_90d
float64
-0.86
0.83
beam_competitors_10km_competitor_count
float64
0
166
beam_competitors_1km_competitor_count
int64
0
123
beam_competitors_5km_competitor_count
int64
0
162
beam_competitors_1km_rank_by_score
int64
1
39
beam_competitors_1km_rank_by_rating
float64
1
80
beam_competitors_1km_rank_by_reviews
int64
1
57
beam_competitors_1km_score_percentile
float64
0.41
1
beam_competitors_1km_rating_percentile
float64
0
1
beam_competitors_1km_reviews_percentile
float64
0.15
1
beam_competitors_1km_health_percentile
float64
0
1
beam_competitors_1km_sentiment_percentile
float64
0
1
beam_competitors_1km_competitor_avg_score
float64
48.6
75
beam_competitors_1km_competitor_avg_rating
float64
3.05
4.57
beam_competitors_1km_competitor_avg_reviews
float64
71
1.39k
beam_competitors_1km_competitor_avg_health
float64
66
90.7
beam_competitors_1km_competitor_avg_sentiment
float64
0.21
0.79
beam_competitors_1km_score_diff
float64
1.8
34.8
beam_competitors_1km_rating_diff
float64
-0.32
1.9
beam_competitors_1km_reviews_diff
float64
-479
973
beam_competitors_1km_health_diff
float64
-18.3
30.6
beam_competitors_1km_sentiment_diff
float64
-0.25
0.76
beam_competitors_5km_rank_by_score
int64
1
145
beam_competitors_5km_rank_by_rating
float64
1
147
beam_competitors_5km_rank_by_reviews
int64
1
143
beam_competitors_5km_score_percentile
float64
0.03
1
beam_competitors_5km_rating_percentile
float64
0.02
1
beam_competitors_5km_reviews_percentile
float64
0
1
beam_competitors_5km_health_percentile
float64
0.01
1
beam_competitors_5km_sentiment_percentile
float64
0.05
1
beam_competitors_5km_competitor_avg_score
float64
56.5
78.1
beam_competitors_5km_competitor_avg_rating
float64
3.28
4.54
beam_competitors_5km_competitor_avg_reviews
float64
133
1.74k
beam_competitors_5km_competitor_avg_health
float64
67.1
88.5
beam_competitors_5km_competitor_avg_sentiment
float64
0.35
0.73
beam_competitors_5km_score_diff
float64
-7.8
22.7
beam_competitors_5km_rating_diff
float64
-0.67
1.5
beam_competitors_5km_reviews_diff
float64
-1,044
1.08k
beam_competitors_5km_health_diff
float64
-18.3
27.2
beam_competitors_5km_sentiment_diff
float64
-0.33
0.54
beam_competitors_10km_rank_by_score
float64
1
164
beam_competitors_10km_rank_by_rating
float64
1
164
beam_competitors_10km_rank_by_reviews
float64
1
163
beam_competitors_10km_score_percentile
float64
0.01
1
beam_competitors_1km_competitive_tier
stringclasses
3 values
beam_competitors_10km_rating_percentile
float64
0
1
beam_competitors_10km_reviews_percentile
float64
0
1
beam_competitors_10km_health_percentile
float64
0
1
beam_competitors_10km_sentiment_percentile
float64
0
1
beam_competitors_5km_competitive_tier
stringclasses
5 values
beam_competitors_10km_competitor_avg_score
float64
48.1
82.1
beam_competitors_10km_competitor_avg_rating
float64
3.07
5
beam_competitors_10km_competitor_avg_reviews
float64
2
1.91k
beam_competitors_10km_competitor_avg_health
float64
65.4
100
beam_competitors_10km_competitive_tier
stringclasses
5 values
beam_competitors_10km_competitor_avg_sentiment
float64
0.29
1
beam_competitors_10km_score_diff
float64
-9.8
28.4
beam_competitors_10km_rating_diff
float64
-0.68
1.49
beam_competitors_10km_reviews_diff
float64
-1,318
1.12k
beam_competitors_10km_health_diff
float64
-18.5
21.4
beam_competitors_10km_sentiment_diff
float64
-0.33
0.46
beam_competitors_1km_total_in_radius
float64
3
124
beam_competitors_5km_total_in_radius
float64
5
163
beam_competitors_10km_total_in_radius
float64
2
167
beam_competitors_1km_avg_distance_m
float64
206
803
beam_competitors_1km_closest_competitor_m
float64
0
500
beam_competitors_1km_market_type
stringclasses
3 values
beam_competitors_1km_review_share
float64
0
0.59
beam_competitors_1km_density_per_sqkm
float64
0.64
39.2
beam_competitors_1km_tier_below_40
float64
0
36.1
beam_competitors_1km_tier_40_59
float64
0
58.3
beam_competitors_1km_tier_60_79
float64
14.3
100
beam_competitors_1km_tier_80_100
float64
0
31.3
beam_competitors_5km_avg_distance_m
float64
1.42k
4.12k
beam_competitors_5km_closest_competitor_m
float64
1k
2.13k
beam_competitors_5km_market_type
stringclasses
2 values
beam_competitors_5km_review_share
float64
0
0.7
beam_competitors_5km_density_per_sqkm
float64
0.05
2.06
beam_competitors_5km_tier_below_40
float64
0
18
beam_competitors_5km_tier_40_59
float64
0
41.7
beam_competitors_5km_tier_60_79
float64
38.5
100
beam_competitors_5km_tier_80_100
float64
0
40.1
beam_competitors_10km_avg_distance_m
float64
5.05k
8.67k
beam_competitors_10km_closest_competitor_m
float64
5k
6.36k
beam_competitors_10km_market_type
stringclasses
3 values
beam_competitors_10km_review_share
float64
0
1
beam_competitors_10km_density_per_sqkm
float64
0
0.53
beam_competitors_10km_tier_below_40
float64
0
30.2
beam_competitors_10km_tier_40_59
float64
0
100
beam_competitors_10km_tier_60_79
float64
0
93.9
beam_competitors_10km_tier_80_100
float64
0
71.3
beam_competitors_city_competitor_avg_sentiment_30d
float64
-0.01
0.23
beam_competitors_city_competitor_avg_sentiment_90d
float64
0.24
0.77
beam_competitors_city_sentiment_diff_30d
float64
-0.23
0.01
beam_competitors_city_sentiment_diff_90d
float64
-0.93
0.75
beam_competitors_city_competitor_count
float64
7
180
beam_competitors_city_total_in_city
float64
8
181
beam_competitors_city_rank_by_score
float64
1
178
beam_competitors_city_rank_by_rating
float64
1
179
beam_competitors_city_rank_by_reviews
float64
1
178
beam_competitors_city_score_percentile
float64
0.01
1
beam_competitors_city_rating_percentile
float64
0
1
beam_competitors_city_reviews_percentile
float64
0
1
beam_competitors_city_health_percentile
float64
0
1
beam_competitors_city_sentiment_percentile
float64
0.01
1
beam_competitors_city_competitor_avg_score
float64
55.3
82.4
beam_competitors_city_competitor_avg_rating
float64
3.58
4.71
beam_competitors_city_competitor_avg_reviews
float64
171
2.17k
beam_competitors_city_competitor_avg_health
float64
71.3
93
beam_competitors_city_competitor_avg_sentiment
float64
0.42
0.81
beam_competitors_city_score_diff
float64
-11
23.2
beam_competitors_city_rating_diff
float64
-0.81
1.2
beam_competitors_city_reviews_diff
float64
-1,745
1.01k
beam_competitors_city_health_diff
float64
-22.4
23
beam_competitors_city_sentiment_diff
float64
-0.4
0.47
beam_competitors_city_market_type
stringclasses
2 values
beam_competitors_city_review_share
float64
0
0.5
beam_competitors_city_density_per_sqkm
float64
0.06
15
beam_competitors_city_tier_below_40
float64
0
18.4
beam_competitors_city_tier_40_59
float64
0
39.8
beam_competitors_city_tier_60_79
float64
21
100
beam_competitors_city_tier_80_100
float64
0
78.4
beam_competitors_city_competitive_strength
float64
0.01
0.96
beam_competitors_city_underserved_score
float64
0.01
5.15
beam_competitors_city_competition_intensity
float64
0.35
241
beam_competitors_state_competitor_avg_sentiment_30d
float64
0.11
0.12
beam_competitors_state_competitor_avg_sentiment_90d
float64
0.83
0.85
beam_competitors_state_sentiment_diff_30d
float64
-0.12
-0.11
beam_competitors_state_sentiment_diff_90d
float64
-1.37
0.15
beam_competitors_state_competitor_count
float64
100
187
beam_competitors_state_total_in_state
float64
101
188
beam_competitors_state_rank_by_score
float64
13
188
beam_competitors_state_rank_by_rating
float64
2
188
beam_competitors_state_rank_by_reviews
float64
73
186
beam_competitors_state_score_percentile
float64
0
0.88
beam_competitors_state_rating_percentile
float64
0
0.99
beam_competitors_state_reviews_percentile
float64
0
0.57
beam_competitors_state_health_percentile
float64
0
0.99
beam_competitors_state_sentiment_percentile
float64
0
0.97
beam_competitors_state_competitor_avg_score
float64
83.2
84.8
beam_competitors_state_competitor_avg_rating
float64
4.76
4.83
beam_competitors_state_competitor_avg_reviews
float64
2.1k
2.9k
beam_competitors_state_competitor_avg_health
float64
94.3
96
beam_competitors_state_competitor_avg_sentiment
float64
0.86
0.89
beam_competitors_state_score_diff
float64
-14.7
4
beam_competitors_state_rating_diff
float64
-1.38
0.22
beam_competitors_state_reviews_diff
float64
-2,785
-827
beam_competitors_state_health_diff
float64
-38.4
5.1
beam_competitors_state_sentiment_diff
float64
-0.71
0.11
beam_competitors_state_market_type
stringclasses
1 value
beam_competitors_state_review_share
float64
0
0
beam_competitors_state_density_per_sqkm
float64
0
0
beam_competitors_state_underserved_score
float64
1.06
1.97
beam_competitors_state_competition_intensity
float64
0.03
0.05
beam_competitors_state_competitive_strength
float64
0
0.57
beam_competitors_country_competitor_avg_sentiment_30d
float64
0.02
0.05
beam_competitors_country_competitor_avg_sentiment_90d
float64
0.1
0.34
beam_competitors_country_sentiment_diff_30d
float64
-0.05
-0.02
beam_competitors_country_sentiment_diff_90d
float64
-0.81
0.7
beam_competitors_country_competitor_count
float64
1.52k
850k
beam_competitors_country_competitor_avg_score
float64
50.1
60.4
beam_competitors_country_competitor_avg_rating
float64
2.84
4.07
beam_competitors_country_competitor_avg_reviews
float64
84
389
beam_competitors_country_competitor_avg_health
float64
75.7
82
beam_competitors_country_competitor_avg_sentiment
float64
0.31
0.58
beam_competitors_country_score_diff
float64
10.4
26.8
beam_competitors_country_rating_diff
float64
-0.45
1.86
beam_competitors_country_reviews_diff
float64
-289
889
beam_competitors_country_sentiment_diff
float64
-0.32
0.51
beam_competitors_country_score_percentile
float64
0.69
1
beam_competitors_country_rating_percentile
float64
0.08
0.87
beam_competitors_country_reviews_percentile
float64
0.36
0.98
beam_competitors_country_health_percentile
float64
0.17
0.94
beam_competitors_country_sentiment_percentile
float64
0.2
0.98
beam_competitors_country_rank_by_score
float64
39
262k
beam_competitors_country_competitive_strength
float64
0.51
0.93
beam_competitors_country_health_diff
float64
-20.3
23.2
beam_competitors_country_rank_by_rating
float64
1.22k
779k
beam_competitors_country_rank_by_reviews
float64
82
542k
beam_competitors_country_tier_40_59
float64
17.8
25
beam_competitors_country_tier_60_79
float64
41.1
58.9
beam_competitors_country_tier_80_100
float64
0.6
4.5
beam_competitors_country_tier_below_40
float64
12
40.5
beam_competitors_country_total_in_country
float64
1.52k
850k
beam_competitors_city_siblings_competitor_count
int64
1
11.1k
beam_competitors_city_siblings_competitor_avg_score
float64
43.7
79.7
beam_competitors_city_siblings_competitor_avg_rating
float64
3.6
4.7
beam_competitors_city_siblings_competitor_avg_reviews
int64
182
1.12k
beam_competitors_city_siblings_competitor_avg_health
float64
61.6
90.3
beam_competitors_city_siblings_competitor_avg_sentiment
float64
0.21
0.79
beam_competitors_city_siblings_score_diff
float64
0
30.2
beam_competitors_city_siblings_rating_diff
float64
-0.74
0.94
beam_competitors_city_siblings_reviews_diff
int64
-433
959
beam_competitors_city_siblings_sentiment_diff
float64
-0.13
0.54
beam_competitors_city_siblings_score_percentile
float64
0
1
beam_competitors_city_siblings_rating_percentile
float64
0
1
beam_competitors_city_siblings_reviews_percentile
float64
0
1
beam_competitors_city_siblings_health_percentile
float64
0
1
beam_competitors_city_siblings_sentiment_percentile
float64
0
1
beam_competitors_city_siblings_rank_by_score
int64
1
2.82k
beam_competitors_city_siblings_competitor_avg_recommend_pct
float64
29.4
89.9
beam_competitors_city_siblings_recommend_pct_diff
float64
-41.42
44.4
beam_competitors_city_siblings_recommend_pct_percentile
float64
0
1
beam_competitors_city_siblings_total_siblings
int64
1
11.1k
beam_competitors_city_businesses_per_10k_pop
float64
0.43
399
beam_competitors_city_population_per_business
float64
25
23k
beam_competitors_city_population_density
float64
97
2.64k
beam_competitors_city_reviews_per_capita
float64
0.08
18.3
beam_competitors_city_reviews_per_10k_pop
float64
833
183k
beam_competitors_state_businesses_per_10k_pop
float64
0.03
0.06
beam_competitors_state_population_per_business
float64
156k
291k
beam_competitors_state_population_density
float64
42
42
beam_competitors_state_reviews_per_capita
float64
0.01
0.01
beam_competitors_state_reviews_per_10k_pop
float64
99.5
135
beam_competitors_1km_hhi_contribution
float64
0.16
3.47k
beam_competitors_1km_hhi_minimum
float64
80.7
3.33k
beam_competitors_5km_hhi_contribution
float64
0.01
4.84k
beam_competitors_5km_hhi_minimum
float64
61.4
2k
beam_competitors_10km_hhi_contribution
float64
0
9.96k
beam_competitors_10km_hhi_minimum
float64
59.9
5k
beam_competitors_city_hhi_contribution
float64
0
2.45k
beam_competitors_city_hhi_minimum
float64
55.3
1.25k
beam_competitors_state_hhi_contribution
float64
0
0.19
beam_competitors_state_hhi_minimum
float64
53.2
99
beam_trends_score_30d_beam_score_overall
float64
-10.7
8.8
beam_trends_score_30d_rating
float64
-0.14
0.09
beam_trends_score_30d_review_count
int64
0
111
beam_trends_score_30d_beam_rating_health
float64
-3.8
2.3
beam_trends_score_30d_beam_popularity_percentile
float64
-38.8
38.5
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
-0.39
0.13
beam_trends_competitive_1km_30d_rank_change
float64
-182,237
352k
beam_trends_competitive_1km_30d_percentile_change
float64
-0.46
0.26
beam_trends_competitive_1km_90d_strength_change
float64
-93.25
-37.04
beam_trends_competitive_1km_90d_rank_change
float64
-377,404
659k
beam_trends_competitive_1km_90d_percentile_change
float64
-0.85
0.53
beam_trends_competitive_5km_30d_strength_change
float64
-0.1
0.16
beam_trends_competitive_5km_30d_rank_change
float64
-131,246
120k
beam_trends_competitive_5km_30d_percentile_change
float64
-0.13
0.2
beam_trends_competitive_5km_90d_strength_change
float64
-92.98
-36.57
beam_trends_competitive_5km_90d_rank_change
float64
-474,864
701k
beam_trends_competitive_5km_90d_percentile_change
float64
-0.9
0.65
beam_trends_competitive_10km_30d_strength_change
float64
-0.12
0.12
beam_trends_competitive_10km_30d_rank_change
float64
-100,805
121k
beam_trends_competitive_10km_30d_percentile_change
float64
-0.13
0.16
beam_trends_competitive_10km_90d_strength_change
float64
-93.03
0
beam_trends_competitive_10km_90d_rank_change
float64
-506,846
744k
beam_trends_competitive_10km_90d_percentile_change
float64
-0.96
0.7
beam_trends_competitive_city_30d_strength_change
float64
-0.19
0.27
beam_trends_competitive_city_30d_rank_change
float64
-2,977
1.48k
beam_trends_competitive_city_30d_percentile_change
float64
-0.27
0.58
beam_trends_competitive_city_90d_strength_change
float64
-92.77
-36.6
beam_trends_competitive_city_90d_rank_change
float64
-684,985
-3,589
beam_trends_competitive_city_90d_percentile_change
float64
-0.45
0.65
beam_trends_competitive_state_30d_strength_change
float64
-0.23
0.12
beam_trends_competitive_state_30d_rank_change
float64
-27,191
9.94k
beam_trends_competitive_state_30d_percentile_change
float64
-0.12
0.34
beam_trends_competitive_state_90d_strength_change
float64
-92.78
-36.65
beam_trends_competitive_state_90d_rank_change
float64
-674,025
3.09k
beam_trends_competitive_state_90d_percentile_change
float64
-0.18
0.63
beam_trends_sentiment_current_sentiment
float64
0.15
0.97
beam_trends_sentiment_positive_ratio
float64
0
100
beam_trends_sentiment_negative_ratio
float64
0
100
beam_trends_sentiment_review_count
int64
100
1.28k
beam_trends_velocity_reviews_per_day
float64
0
4.07
beam_trends_velocity_reviews_per_month
float64
0
122
beam_trends_velocity_percentile_city
float64
0
1
beam_trends_velocity_percentile_state
float64
0
1
beam_trends_velocity_trend
stringclasses
3 values
beam_velocity_reviews_per_day
float64
0.03
4.07
beam_velocity_reviews_per_week
float64
0.23
28.5
beam_velocity_reviews_per_month
float64
1
122
beam_velocity_reviews_last_30d
int64
1
122
beam_velocity_reviews_last_90d
int64
9
245
beam_velocity_reviews_last_365d
int64
62
1.15k
beam_velocity_percentile_1km
float64
0.49
1
beam_velocity_percentile_5km
float64
0.5
1
beam_velocity_percentile_10km
float64
0.5
1
beam_velocity_percentile_city
float64
0
1
beam_velocity_percentile_state
float64
0.37
1
beam_velocity_rank_1km
float64
811
329k
beam_velocity_rank_5km
float64
852
350k
beam_velocity_rank_10km
float64
858
349k
beam_velocity_rank_city
int64
1
122
beam_velocity_rank_state
int64
2
1.92k
beam_velocity_trend
stringclasses
3 values
beam_velocity_change_30d
float64
-2.47
3.36
beam_velocity_change_90d
float64
beam_trends_sentiment_recommend_pct
float64
16.4
99.6
5W2P2HFS
Stoner's Pizza Joint
Food and Drink
Restaurants
Pizza restaurant
Pizza restaurant
Building B, 2401 W 7th St #115, Fort Worth, TX 76107
Building B, 2401 W 7th St #115
Fort Worth
Texas
Cultural District
null
76,107
US
true
32.75066
-97.351734
America/Chicago
(817) 70*-****
2
null
true
true
null
true
Fort Worth
Texas
US
https
https://stonerspizzajoint.com
stonerspizzajoint.com
stonerspizzajoint.com
com
4,541
2013-11-24
2026-11-24
GoDaddy.com, LLC
null
null
0
0
0
null
true
false
4.73
360
{"1": 13, "2": 8, "3": 5, "4": 18, "5": 345}
Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in
Sports
Lunch, Dinner, Solo dining
"Assistive hearing loop, Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelcha(...TRUNCATED)
Comfort food, Late-night food, Organic dishes, Quick bite
Brunch, Lunch, Dinner, Counter service, Dessert, Seating
Restroom, Wi-Fi
Casual, Trendy
Family-friendly, LGBTQ+ friendly, Transgender safespace
null
Credit cards, Debit cards
Good for kids, Kids' menu
true
true
purchase_dataset@
true
true
1
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
2026-04-26T15:38:38.982291+00:00
0
1.46
3.9
1,922.34
136.1
162.4365
1.29
94.6
85.3
93.1
0.8577
0.8917
0.7592
0.7784
0.8442
0.9219
0.8978
0.913
88
92.2
95.83
4.17
0
90
10
0
89.47
8.77
1.75
92.22
6.11
1.67
improving
declining
0.1325
-4.2
-0.085
-4.6
24
50
114
360
-12.3
-44.4
44
70.3
32.8
8
60
79.6
34
1,126
887
1,656
32,177
26,364
43,977
309,014
288,151
447,608
331,136
1,126
39
65
39
130
138
110
131
139
118
249
2,429
5,222
76,416
145,254
786,928
1,595,281
786,928
0.345
0.1686
0.6671
-0.1686
-0.1916
0.5516
0.218
0.3455
-0.218
0.13
0.3475
0.2
0.5805
-0.2
-0.105
138
64
137
39
8
39
0.4063
0.8906
0.4063
0.875
0.9219
68.5
4.12
821
79.5
0.5555
1.8
0.61
-461
13.6
0.296
130
18
110
0.0584
0.8759
0.2044
0.854
0.8978
78.1
4.43
1,027
85.3
0.6887
-7.8
0.3
-667
7.8
0.1628
131
12
118
0.058
Average
0.9203
0.1522
0.9058
0.913
Below Average
78.1
4.4
952
84.6
Below Average
0.6726
-7.8
0.33
-592
8.5
0.1789
65
138
139
556
29
competitive
0.0068
20.37
7.8
17.2
43.8
31.3
2,952
1,000
competitive
0.0026
1.74
0.7
0.7
62
36.5
7,915
5,005
competitive
0.0027
0.44
0
0
61.6
38.4
0.1918
0.7155
-0.1918
-0.24
159
160
159
21
148
0.0063
0.8742
0.0755
0.8679
0.8616
81
4.51
1,192
87.6
0.7358
-10.7
0.22
-832
5.5
0.1157
competitive
0.0019
0.17
0
0
35.8
64.2
0.2874
1.29
1.4
0.1248
0.8495
-0.1248
-0.374
186
187
187
125
171
0
0.3333
0.086
0.2796
0.3333
84.8
4.76
2,113
94.3
0.8597
-14.5
-0.03
-1,753
-1.2
-0.0082
competitive
0.0009
0.0003
1.06
0.05
0.1258
0.0328
0.2935
-0.0328
0.182
849,634
59.7
3.83
389
76.2
0.4652
10.6
0.9
-29
0.3863
0.6952
0.7867
0.6096
0.8553
0.9231
256,056
0.697
16.9
176,884
331,159
23.1
58
4.5
14.4
849,635
1,749
60.3
4.2
475
76.3
0.4819
10
0.53
-115
0.3696
0.6379
0.7557
0.5486
0.8404
0.9056
628
62.63
30.57
0.9079
1,749
1.73
5,779
985
0.2063
2,063.1
0.06
156,696
42
0.0135
134.86
0.46
153.85
0.07
72.46
0.07
71.94
0.04
62.5
0.01
53.48
1.2
0.01
5
0.1
-12.3
null
null
null
null
null
0.04
-23,341
0.039
-61.07
-274,856
0.385
0.05
-25,727
0.041
-61.15
-313,757
0.43
0.08
-77,418
0.115
-61.37
-253,896
0.352
0.03
-281
0.106
-61.45
-435,522
0.2
0.02
-9,175
0.126
-61.55
-412,152
0.229
0.8515
100
0
360
0.07
2
0.5
0.682
decelerating
0.07
0.47
2
2
33
360
0.701
0.706
0.707
0.412
0.632
221,055
234,514
233,522
56
874
decelerating
-0.4
null
93.2
2DHHSCZ6
Blue Goose Cantina Mexican Restaurant
Food and Drink
Restaurants
Mexican restaurant
Mexican restaurant, Bar & grill, Taco restaurant, Tex-Mex restaurant
2455 Grapevine Mills Cir E #2048, Grapevine, TX 76051
2455 Grapevine Mills Cir E #2048
Grapevine
Texas
null
null
76,051
US
true
32.963791
-97.039391
America/Chicago
(817) 25*-****
2
null
true
true
null
true
Grapevine
Texas
US
https
https://bluegoosecantina.com/grapevine-tx
bluegoosecantina.com/grapevine-tx
bluegoosecantina.com
com
7,748
2005-02-12
2028-02-12
NAMECHEAP INC
purchase_dataset@bluegoosecantina.com
realdomain
1
1
0
Lively local cantina chain serving mesquite-grilled Tex-Mex fare, beer & margaritas.
true
true
4.05
1,046
{"1": 160, "2": 124, "3": 318, "4": 628, "5": 1615}
Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in
Fast service, Great beer selection, Great cocktails, Serves local specialty, Sports
Lunch, Dinner, Solo dining
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, La(...TRUNCATED)
Breakfast, Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service
Bar onsite, Restroom
Casual, Cozy, Trendy
College students, Family-friendly, Groups, Tourists
Accepts reservations
Credit cards, Debit cards, NFC mobile payments
Good for kids, Has changing table(s), High chairs, Kids' menu
true
true
purchase_dataset@
true
true
7
2024-01-05
2026-02-25
847
65
69
847
847
65
65
https://www.instagram.com/bluegoosecantina
bluegoosecantina
https://www.facebook.com/bluegoosecantinagrandprairie
bluegoosecantinagrandprairie
https://twitter.com/blue_goose
blue_goose
https://www.tiktok.com/@bluegoosecantina
bluegoosecantina
https://www.linkedin.com/company/blue-goose-cantina
blue-goose-cantina
null
null
null
null
null
null
https://www.pinterest.com/bluegoosetexmex
bluegoosetexmex
7,619
0.53
null
0.5
0.55
0.55
1,652
381
172
2,146
0.93
null
null
null
null
https://bluegoosecantina.com/menu
null
null
2026-04-26T15:37:21.672427+00:00
18.62
0.33
0.1
21,043.38
300.9
231.1927
0.09
81
100
72.9
0.5635
0.4754
0.4909
0.4119
0.5268
0.641
0.2124
0.0748
74.5
76.3
73.91
26.09
0
73.21
25
1.79
68.97
27.59
3.45
75.93
21.3
2.78
stable
stable
-0.0155
-1.8
-0.0359
-2.4
23
56
116
216
-3.4
3.7
23.2
76.1
39.5
84
100
77.3
34
64
304
76
9,515
87,468
11,702
79,907
998,719
102,059
86,495
64
5
40
8
40
114
21
114
148
70
1,079
311
603
76,416
145,254
786,928
1,595,281
786,928
0.266
0.1096
0.6749
-0.1096
-0.1179
0.8051
0.053
0.1953
-0.053
0.3617
0.562
0.128
0.5736
-0.128
-0.0166
147
39
113
5
14
8
0.8974
0.6667
0.8205
0.5641
0.641
57.4
3.31
435
66
0.3288
18.7
0.74
611
6.9
0.1884
40
94
21
0.6549
0.177
0.823
0.1504
0.2124
73.2
4.37
612
83.7
0.6319
2.9
-0.32
434
-10.8
-0.1147
114
141
70
0.2313
Market Leader
0.0476
0.5306
0.0204
0.0748
Average
78.2
4.47
1,037
86.5
Below Average
0.7072
-2.1
-0.42
9
-13.6
-0.19
40
114
148
510
107
competitive
0.0581
12.41
15.4
30.8
53.8
0
4,118
1,258
competitive
0.0149
1.44
0.9
1.8
84.1
13.3
7,632
5,014
competitive
0.0068
0.47
1.4
0
58.5
40.1
0.1058
0.538
-0.1058
0.019
125
126
55
92
51
0.568
0.272
0.6
0.224
0.304
75
4.24
918
80.2
0.5892
1.1
-0.19
128
-7.3
-0.072
competitive
0.009
1.35
0.8
0.8
80.8
17.6
0.4888
0.09
18.52
0.1241
0.8489
-0.1241
-0.2919
187
188
183
187
132
0.0267
0.0053
0.2995
0
0.0107
84.8
4.76
2,105
94.3
0.8593
-8.7
-0.71
-1,059
-21.4
-0.3421
competitive
0.0027
0.0003
1.06
0.05
0.1021
0.0328
0.2935
-0.0328
0.2635
849,634
59.7
3.83
389
76.2
0.4652
16.4
0.22
657
0.052
0.8742
0.2941
0.8979
0.3401
0.4892
104,668
0.7073
-3.3
595,668
86,030
23.1
58
4.5
14.4
849,635
228
61.8
4.04
537
72.6
0.4444
14.3
0.01
509
0.0728
0.7885
0.3744
0.8106
0.4185
0.4846
47
64.61
11.3
0.4626
228
24.69
405
545
2.2653
22,652.92
0.06
155,858
42
0.0135
135.06
33.79
250
2.22
87.72
0.46
67.57
0.82
79.37
0.07
53.19
2.6
0
13
0.1
-3.3
null
null
null
null
null
0.08
-88,183
0.148
-79.12
540,247
-0.704
0.07
-68,120
0.105
-78.77
197,211
-0.254
0.07
-33,187
0.054
-78.5
91,381
-0.122
0.01
-24
0.082
-78.75
-45,419
-0.205
0.05
-11,989
0.152
-78.6
-35,608
-0.061
0.5172
null
null
1,046
0.2
6
0.667
0.928
decelerating
0.2
1.4
6
6
35
177
0.915
0.917
0.917
0.4
0.898
74,544
78,967
78,820
9
681
decelerating
-0.13
null
75.91
FZ8M684Z
Pollo Regio
Food and Drink
Restaurants
Mexican restaurant
Mexican restaurant
2205 Grapevine Mills Cir E, Grapevine, TX 76051
2205 Grapevine Mills Cir E
Grapevine
Texas
null
null
76,051
US
true
32.960873
-97.042795
America/Chicago
(682) 42*-****
2
OPERATIONAL
true
true
null
true
Grapevine
Texas
US
https
https://polloregio.com
polloregio.com
polloregio.com
com
5,857
2010-04-18
2027-01-30
GoDaddy.com, LLC
null
null
0
0
0
Fast-food chain turning out charcoal-grilled chicken along with Mexican staples.
true
true
4.82
1,225
{"1": 42, "2": 10, "3": 15, "4": 37, "5": 1700}
No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in
Fast service, Serves local specialty
Lunch, Dinner, Solo dining
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
Comfort food, Healthy options, Quick bite, Small plates
Lunch, Dinner, Counter service, Dessert, Seating
Restroom
Casual, Quiet
Groups
null
Credit cards, Debit cards, NFC mobile payments
Good for kids, High chairs, Kids' menu
true
true
purchase_dataset@
true
true
1
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
https://order.polloregio.com
null
null
2026-04-26T15:34:19.327049+00:00
0
1.05
1.6
20,602.99
1,789.6
229.3578
0.09
96.4
100
95.3
0.882
0.8936
0.9387
0.8962
0.8947
0.9744
0.9286
0.9054
96.9
94.7
95.24
4.76
0
97.48
1.89
0.63
95.87
3.31
0.83
95.6
3.49
0.91
stable
stable
-0.0451
2.2
0.044
2.3
42
159
363
773
-12.4
-17.7
-20.8
77.5
47
8
80
96.4
34
17
39
19
2,515
20,102
3,011
22,202
211,274
28,205
23,446
17
2
40
3
33
113
5
92
149
25
124
311
603
76,416
145,254
786,928
1,595,281
786,928
0.673
0.1051
0.6601
-0.1051
0.2934
0.9667
0.053
0.1786
-0.053
0.7749
0.8375
0.125
0.5845
-0.125
0.369
148
39
112
2
2
3
0.9744
0.9744
0.9487
1
0.9744
58
3.39
415
66
0.3241
19.5
1.43
810
29.3
0.5564
33
15
5
0.7143
0.875
0.9643
0.8839
0.9286
73.5
4.38
628
84
0.6381
4
0.44
597
11.3
0.2424
92
17
25
0.3851
Market Leader
0.8919
0.8378
0.8784
0.9054
Market Leader
78
4.46
1,038
86.4
Strong
0.7037
-0.5
0.36
187
8.9
0.1768
40
113
149
586
49
competitive
0.0704
12.41
12.8
33.3
53.8
0
4,028
1,068
competitive
0.0171
1.43
0.9
0.9
84.8
13.4
7,622
5,039
competitive
0.0079
0.47
1.4
0
60.8
37.8
0.1067
0.5458
-0.1067
0.4077
124
125
43
8
13
0.6613
0.9435
0.9032
0.9435
0.9597
75.2
4.24
915
80.3
0.5902
2.3
0.58
310
15
0.2903
competitive
0.0107
1.34
0.8
0
81.5
17.7
0.8185
0.09
18.42
0.1248
0.8482
-0.1248
0.1053
186
187
177
73
94
0.0538
0.6129
0.5
0.543
0.4839
84.8
4.76
2,110
94.3
0.8589
-7.3
0.06
-885
1
0.0216
competitive
0.0031
0.0003
1.06
0.05
0.3554
0.0328
0.2935
-0.0328
0.66
849,634
59.7
3.83
389
76.2
0.4652
17.8
0.99
836
0.4153
0.9083
0.8273
0.9724
0.8971
0.9447
76,012
0.9033
19.1
143,838
23,319
23.1
58
4.5
14.4
849,635
228
61.8
4.04
537
72.6
0.4444
15.7
0.78
688
0.4361
0.837
0.8634
0.9515
0.9251
0.9648
37
64.61
28.91
0.9692
228
24.49
408
545
2.2406
22,406.43
0.06
156,696
42
0.0135
134.64
49.56
250
2.93
88.5
0.63
67.11
1.14
80
0.1
53.48
0.4
0.01
30
0.1
-18
null
null
null
null
null
0.08
-104,508
0.168
-83.01
336,074
-0.425
0.08
-70,412
0.107
-82.65
4,956
0.006
0.07
-28,581
0.049
-82.51
-73,774
0.106
0
-6
0.03
-82.55
-241,798
0.058
0.01
-6,563
0.085
-82.53
-233,796
0.193
0.8805
100
0
1,225
0.63
19
1
0.988
decelerating
0.63
4.43
19
19
149
766
0.985
0.985
0.985
0.933
0.981
15,300
16,282
16,307
2
148
decelerating
-1.54
null
93.52
KFE9KGVN
Rolando's Super Tacos # 1
Food and Drink
Restaurants
Mexican restaurant
Mexican restaurant, Breakfast restaurant, Restaurant
919 W Hildebrand Ave, San Antonio, TX 78201
919 W Hildebrand Ave
San Antonio
Texas
Central Los Angeles Heights
Northwest Los Angeles Heights
78,201
US
true
29.466724
-98.508664
America/Chicago
(210) 54*-****
2
null
true
true
null
true
San Antonio
Texas
US
https
https://maricelarmendez.wixsite.com/rolandos
maricelarmendez.wixsite.com/rolandos
maricelarmendez.wixsite.com
com
5,106
2012-05-08
2026-05-08
GoDaddy.com, LLC
null
null
0
0
0
Simple Mexican spot sporting a bright paint job & eclectic decor, serving breakfast & lunch bites.
true
true
4.02
1,038
{"1": 195, "2": 82, "3": 144, "4": 330, "5": 1384}
Delivery, Onsite services, Takeout, Dine-in
Fast service, Great coffee, Serves local specialty
Breakfast, Lunch, Solo dining
Wheelchair accessible parking lot, Wheelchair accessible restroom, Wheelchair accessible seating
Coffee, Comfort food, Quick bite, Small plates
Breakfast, Brunch, Lunch, Catering, Counter service, Dessert, Seating, Table service
Restroom
Casual, Cozy, Historic, Trendy
College students, Groups, Tourists
null
Credit cards, Debit cards
Good for kids, High chairs, Kids' menu
true
true
purchase_dataset@
true
true
4
null
null
null
null
null
null
null
null
null
null
null
https://www.facebook.com/maricela.mendez.94043626
maricela.mendez.94043626
null
null
https://www.tiktok.com/@maricela.de.mndez
maricela.de.mndez
null
null
https://www.youtube.com/channel/uceuxemvsntfkp9oz9sf25xw
uceuxemvsntfkp9oz9sf25xw
null
null
null
null
null
null
null
null
null
null
null
null
null
3
0
0
null
null
null
null
null
https://order.online/store/rolando's-super-tacos-no-1-san-antonio-47387/?hidemodal=true&pickup=true
null
null
2026-04-26T13:39:50.513324+00:00
0
4.21
1.8
1,409.64
31.5
156.7912
1.86
80.4
100
74.1
0.5685
0.8
0.6286
0.5119
0.6115
0.45
0.1862
0.0696
81.4
80.6
90
10
0
81.25
18.75
0
76.67
23.33
0
80.87
19.13
0
improving
stable
0.1714
0.8
0.0171
1
10
32
60
115
6.7
11.3
-6.2
70.3
36.8
32
80
82.9
34
996
6,948
1,310
10,191
89,266
12,578
84,964
1,018,572
109,181
91,957
996
10
41
4
133
146
74
152
159
80
1,088
5,543
11,172
76,416
145,254
786,928
1,595,281
786,928
0.1696
0.1018
0.666
-0.1018
0.0499
0.6925
0.0333
0.3822
-0.0333
0.3337
0.2035
0.1041
0.5879
-0.1041
0.128
158
40
145
10
27
4
0.775
0.35
0.925
0.325
0.45
54.8
4.02
409
76.5
0.489
15.5
0
629
-2.4
0.0255
133
137
74
0.0897
0.0621
0.4966
0.0621
0.1862
76.9
4.46
1,037
86
0.6449
-6.6
-0.44
1
-11.9
-0.1304
152
158
80
0.0443
Strong
0.0063
0.5
0.0063
0.0696
Below Average
77.8
4.47
1,108
86.5
Emerging
0.6883
-7.5
-0.45
-70
-12.4
-0.1738
41
146
159
565
49
competitive
0.0596
12.73
22.5
15
60
2.5
3,725
1,099
competitive
0.0069
1.85
1.4
0
66.9
31.7
6,925
5,035
competitive
0.0059
0.5
1.9
0
60.8
37.3
0.1196
0.7354
-0.1196
-0.0195
171
172
171
172
98
0.0058
0
0.4327
0
0.0468
81.1
4.6
1,353
90.2
0.7504
-10.8
-0.58
-315
-16.1
-0.2359
competitive
0.0045
0.13
0.6
0
29.2
70.2
0.1321
1.87
0.97
0.1248
0.8495
-0.1248
-0.1336
186
187
187
186
132
0
0.0054
0.2957
0.0054
0.0108
84.8
4.76
2,113
94.3
0.8597
-14.5
-0.74
-1,075
-20.2
-0.3452
competitive
0.0026
0.0003
1.06
0.05
0.0903
0.0328
0.2935
-0.0328
0.4224
849,634
59.7
3.83
389
76.2
0.4652
10.6
0.19
649
0.0493
0.6952
0.2797
0.8914
0.3589
0.4863
256,056
0.6294
-2.1
608,135
91,568
23.1
58
4.5
14.4
849,635
4,126
58.4
4.22
482
77.2
0.4732
11.9
-0.2
556
0.0413
0.7072
0.2562
0.8347
0.3341
0.4701
1,193
59.86
16.15
0.4996
4,126
1.19
8,390
1,097
0.1613
1,612.53
0.06
156,696
42
0.0135
134.86
35.55
243.9
0.47
68.49
0.35
62.89
0.2
58.14
0.07
53.48
-1.4
0
11
0.1
-14.7
null
null
null
null
null
0
77,384
-0.069
-71.45
482,235
-0.617
0.04
-22,025
0.037
-70.94
-67,228
0.097
0
40,396
-0.041
-70.91
-2,872
0.011
0.02
-254
0.042
-71.27
-181,632
-0.037
0.01
-1,927
0.037
-71.28
-159,622
-0.057
0.5145
null
null
1,038
0.13
4
0.881
0.871
decelerating
0.13
0.93
4
4
19
106
0.855
0.859
0.859
0.828
0.836
119,501
126,570
126,222
122
1,066
decelerating
-0.14
null
76.01
QKLVK4AV
Mattenga's Pizzeria 46 HW New Braunfels
Food and Drink
Restaurants
Pizza restaurant
"Pizza restaurant, Chicken wings restaurant, Family restaurant, Gluten-free restaurant, Italian rest(...TRUNCATED)
2180 TX-46 Ste 107, New Braunfels, TX 78132
2180 TX-46 Ste 107
New Braunfels
Texas
null
null
78,132
US
true
29.721922
-98.173265
America/Chicago
(830) 21*-****
1
null
true
true
null
true
New Braunfels
Texas
US
https
https://mattengas.com/newbraunfels
mattengas.com/newbraunfels
mattengas.com
com
4,426
2014-03-19
2027-03-19
GoDaddy.com, LLC
purchase_dataset@mattengas.com, purchase_dataset@mattengas.com, purchase_dataset@owner.com
realdomain
3
2
1
null
true
false
4.78
641
{"1": 14, "2": 12, "3": 9, "4": 36, "5": 585}
Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in
Fast service
Lunch, Dinner, Solo dining
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
Alcohol, Beer, Comfort food, Vegan options, Vegetarian options
Lunch, Dinner, Counter service, Dessert, Seating
Restroom, Wi-Fi
Casual, Cozy
null
null
Credit cards, Debit cards, NFC mobile payments
Good for kids, High chairs, Kids' menu
true
true
purchase_dataset@
true
true
5
2025-05-17
2026-02-04
349
86
24
349
349
86
86
https://www.instagram.com/mattengaspizza
mattengaspizza
https://www.facebook.com/mattengaspizzeria
mattengaspizzeria
https://twitter.com/mattengaspizza
mattengaspizza
null
null
https://www.linkedin.com/company/mattengaspizzeria
mattengaspizzeria
null
null
null
null
null
null
null
null
12,273
2.76
null
0.05
0.18
2.76
3,389
null
null
null
null
null
null
null
null
https://mattengas.com/menu
null
null
2026-04-26T13:38:45.277126+00:00
13.58
2.63
0
10,553.12
198.5
131.3394
0.2
95.6
93.6
94.5
0.8726
0.8606
0.8929
0.9215
0.9036
1
1
0.99
94.6
95.2
94.12
5.88
0
95.35
4.65
0
96.8
2.74
0.46
95.81
3.66
0.52
stable
stable
-0.0323
-0.6
-0.0107
-0.6
17
86
219
382
-21.5
-9.9
-40.7
78.3
47.7
80
30
94.9
34
94
59
106
21,586
22,736
28,108
192,899
243,063
264,454
207,133
94
2
7
2
5
26
13
15
101
67
178
278
553
76,416
145,254
786,928
1,595,281
786,928
0.731
0.0254
0.3677
-0.0254
0.5345
0.8833
0
0.1633
0
0.7389
0.78
0.0362
0.277
-0.0362
0.6252
100
6
25
2
1
2
0.8333
1
0.8333
1
1
66.7
4.17
438
77.1
0.5293
11.6
0.61
203
17.4
0.3439
5
2
13
0.84
0.96
0.52
0.92
1
69.6
4.17
634
78.3
0.4897
8.7
0.61
7
16.2
0.3835
15
6
67
0.86
Market Leader
0.95
0.34
0.95
0.99
Strong
70.7
4.18
900
78.4
Strong
0.5377
7.6
0.6
-259
16.1
0.3355
7
26
101
579
60
concentrated
0.1961
1.91
0
16.7
83.3
0
2,890
1,158
competitive
0.0389
0.32
0
12
80
8
7,155
5,001
competitive
0.0071
0.32
1
8
81
10
0.0338
0.4082
-0.0338
0.494
100
101
22
5
71
0.79
0.96
0.3
0.96
0.98
73.1
4.24
942
80.2
0.5824
5.2
0.54
-301
14.3
0.2908
competitive
0.0068
0.85
0
3
85
12
0.694
0.2
8.09
0.1104
0.829
-0.1104
0.0732
100
101
90
81
101
0.11
0.2
0
0.19
0.23
83.2
4.83
2,901
96
0.8883
-4.9
-0.05
-2,260
-1.5
-0.0151
competitive
0.0022
0.0001
1.97
0.03
0.104
0.0328
0.2935
-0.0328
0.6087
849,634
59.7
3.83
389
76.2
0.4652
18.6
0.95
252
0.408
0.9255
0.811
0.7558
0.8839
0.9397
61,613
0.8402
18.3
156,970
207,180
23.1
58
4.5
14.4
849,635
200
57.6
4.26
434
73.3
0.3987
20.7
0.52
207
0.4745
0.9146
0.6583
0.6935
0.9045
0.9648
18
52.89
41.5
0.9598
200
11.06
904
769
1.0425
10,424.99
0.03
291,455
42
0.01
99.54
384.73
1,428.57
15.1
384.62
0.5
99.01
0.46
99.01
0.05
99.01
-4.1
0
30
0.1
-3.3
null
null
null
null
null
0.08
-99,195
0.144
-85.58
99,352
-0.13
0.12
-93,167
0.142
-85.88
317,268
-0.409
0.12
-35,435
0.072
-85.92
437,936
-0.569
-0.04
18
-0.045
-85.64
-21,579
-0.073
-0.21
-590
0.009
-85.77
-18,826
-0.006
0.8732
100
0
641
0.7
21
1
0.989
decelerating
0.7
4.9
21
21
98
375
0.987
0.987
0.987
1
0.982
13,327
14,167
14,191
1
61
decelerating
-0.47
null
94.39
CW4L23K6
Mary's Tacos
Food and Drink
Restaurants
Mexican restaurant
Mexican restaurant, Breakfast restaurant, Restaurant
518 E Blanco Rd, Boerne, TX 78006
518 E Blanco Rd
Boerne
Texas
null
null
78,006
US
true
29.796411
-98.728049
America/Chicago
(830) 24*-****
1
OPERATIONAL
true
true
null
true
Boerne
Texas
US
https
https://marystacosinboerne.com
marystacosinboerne.com
marystacosinboerne.com
com
4,890
2012-12-10
2026-12-10
GoDaddy.com, LLC
null
null
0
0
0
Low-key, counter-serve Mexican eatery dishing up a variety of tacos, including breakfast options.
true
true
4.57
1,085
{"1": 59, "2": 49, "3": 86, "4": 284, "5": 2219}
Outdoor seating, Onsite services, Takeout, Dine-in
Fast service, Great coffee, Serves local specialty
Breakfast, Lunch, Solo dining
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
Coffee, Comfort food, Quick bite, Small plates
Breakfast, Brunch, Lunch, Catering, Counter service, Seating
Restroom, Wi-Fi
Casual, Cozy, Trendy
College students, Family-friendly, Groups, Tourists
Usually a wait
Credit cards, Debit cards, NFC mobile payments
Good for kids, High chairs
true
true
purchase_dataset@
true
true
2
2020-09-14
2024-12-31
2,055
486
39
2,055
2,055
486
486
null
null
null
null
null
null
https://www.tiktok.com/@marycosborn
marycosborn
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
238
32
2,714
9.77
null
null
null
null
https://marystacos.com/menu
null
null
2026-04-26T13:32:10.858418+00:00
1.12
0.07
1
23,897.27
2,944.8
148.6014
0.05
91.4
100
88.8
0.8364
0.5868
0.4516
0.5427
0.5908
0.75
0.9583
1
72.6
79.5
80
20
0
71.43
28.57
0
76.06
22.54
1.41
79.01
19.34
1.66
improving
declining
0.1352
-6.9
-0.1392
-8.7
10
21
71
181
-40.8
-53.6
42.9
76.7
32.8
68
80
72.4
34
9
65
10
6,677
40,010
7,977
58,176
453,469
71,786
62,791
9
9
25
2
7
49
7
1
6
1
481
81
172
76,416
145,254
786,928
1,595,281
786,928
0.94
0.2
0.3124
-0.2
-0.0119
0.7167
0.1043
0.5351
-0.1043
-0.2346
0.8938
-0.0144
0.2523
0.0144
0.0482
5
24
48
9
12
2
0.6667
0.5417
0.9583
0.5833
0.75
72.3
4.55
435
87.8
0.6644
4.4
0.02
650
1
0.1341
7
4
7
0.875
0.9375
0.875
0.875
0.9583
61.6
3.86
551
71.6
0.4437
15.1
0.71
534
17.2
0.3548
1
2
1
1
Strong
0.8
1
0.8
1
Market Leader
59.1
3.26
123
70.5
Market Leader
0.3353
17.6
1.31
962
18.3
0.4632
25
49
6
627
294
competitive
0.0942
7.64
0
12.5
62.5
25
2,037
1,148
competitive
0.0394
0.61
10.4
18.8
68.8
2.1
6,439
5,008
concentrated
0.6382
0.02
20
20
60
0
0.0335
0.3351
-0.0335
-0.0346
84
85
15
19
9
0.8333
0.7857
0.9048
0.75
0.881
64
4.05
468
76.9
0.4892
12.7
0.52
617
11.9
0.3093
competitive
0.0268
2.69
8.3
17.9
65.5
8.3
0.8405
0.05
30.12
0.1241
0.8487
-0.1241
-0.5482
187
188
182
169
126
0.0321
0.1016
0.3316
0.0642
0.1818
84.8
4.76
2,101
94.3
0.8589
-8.1
-0.19
-1,016
-5.5
-0.0604
competitive
0.0028
0.0003
1.06
0.05
0.1428
0.0328
0.2935
-0.0328
0.007
849,634
59.7
3.83
389
76.2
0.4652
17
0.74
696
0.3333
0.8895
0.6819
0.9258
0.7385
0.8675
91,856
0.8381
12.6
263,480
62,595
23.1
58
4.5
14.4
849,635
61
64.9
4.26
458
79.5
0.5344
11.8
0.31
627
0.2641
0.7667
0.6833
0.9167
0.7167
0.85
14
69.92
19.67
0.7833
61
47.06
213
572
2.2046
22,046.5
0.06
155,858
42
0.0135
134.83
88.71
400
15.51
204.08
4,073.44
1,666.67
7.2
117.65
0.08
53.19
1.7
0
4
0
-2.3
null
null
null
null
null
0.01
-8,365
0.013
-80.47
-199,584
0.278
0.03
32,227
-0.011
-81.04
390,453
-0.486
-0.09
121,133
-0.126
-81.24
464,990
-0.585
0.07
-17
0.182
-80.58
-254,694
0.117
0.03
-9,403
0.119
-80.58
-247,496
0.218
0.7985
null
null
1,085
0.07
2
0.375
0.685
decelerating
0.07
0.47
2
2
19
173
0.701
0.706
0.707
0.375
0.656
221,055
234,514
233,522
3
1,917
decelerating
-0.03
null
89.59
G4VEY8X5
Granny D's
Food and Drink
Restaurants
American restaurant
American restaurant, Breakfast restaurant
14312 FM306, Canyon Lake, TX 78133
14312 FM306
Wimberley
Texas
null
null
78,133
US
true
29.876143
-98.191225
America/Chicago
(830) 96*-****
2
null
true
true
Canyon Lake
true
Wimberley
Texas
US
https
https://granny-ds.shop
granny-ds.shop
granny-ds.shop
shop
null
null
null
null
null
null
0
0
0
American eatery serving breakfast, sandwiches & classic entrees in a low-key, old-fashioned space.
true
true
4.3
1,061
{"1": 144, "2": 106, "3": 217, "4": 590, "5": 2726}
Onsite services, Takeout, Dine-in
Fast service, Great coffee, Great dessert, Great tea selection, Serves local specialty
Breakfast, Lunch, Solo dining
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
Coffee, Comfort food, Quick bite, Small plates
Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service
Restroom
Casual, Cozy
Groups, Tourists
null
Credit cards, Debit cards, NFC mobile payments
Good for kids, High chairs, Kids' menu
true
true
purchase_dataset@
true
true
6
2020-05-29
2026-03-06
2,163
56
69
2,163
2,163
56
56
https://www.instagram.com/grannydscanyonlake
grannydscanyonlake
https://www.facebook.com/p/granny-ds-homemade-oven-fried-pies-100064906442071
granny-ds-homemade-oven-fried-pies-100064906442071
https://twitter.com/grannybeas1
grannybeas1
https://www.tiktok.com/@grannysday
grannysday
https://www.linkedin.com/company/crystal-dynamics
crystal-dynamics
null
null
null
null
null
null
null
null
639
1.1
null
null
null
null
91
149,085
675
16,544,965
14.25
null
5.96
14.25
14.25
null
null
null
2026-04-26T13:31:45.926023+00:00
1,367.75
0.12
0
41,538.87
1,170.8
221.3115
0.02
86
100
81.5
0.7302
0.9373
0.7596
0.6794
0.7027
0
0.4762
0.4545
88
85.1
93.33
0
6.67
88.24
7.84
3.92
84.21
12.28
3.51
85.65
12.56
1.79
improving
improving
0.1777
2.9
0.0569
3.4
15
51
114
223
-10.5
-8.5
-11.8
80.8
40.5
100
100
81
34
4
30
4
8,223
67,261
10,001
70,363
775,346
88,647
76,180
4
1
3
1
1
22
2
2
23
2
888
26
45
76,416
145,254
786,928
1,595,281
786,928
0.7636
0
0.4199
0
0.197
0.7
0
0.5108
0
0.1061
0.8143
0.044
0.414
-0.044
0.2029
22
2
21
1
3
1
1
0
1
0
0
73.6
4.57
832
90.7
0.7854
7.2
-0.27
229
-9.2
-0.1512
1
13
2
1
0.4286
0.9524
0.4286
0.4762
63.1
3.86
421
81.9
0.5693
17.7
0.44
640
-0.4
0.0649
2
16
2
0.9545
Strong
0.3182
0.9545
0.3182
0.4545
Market Leader
61.4
4.26
355
84.1
Strong
0.5706
19.4
0.04
706
-2.6
0.0636
3
22
23
623
389
concentrated
0.3894
0.64
0
0
100
0
3,629
1,777
competitive
0.1071
0.27
14.3
9.5
76.2
0
8,579
5,090
competitive
0.1196
0.07
13.6
18.2
59.1
9.1
0
0.2991
0
0.3178
26
27
1
18
4
1
0.3462
0.8846
0.3462
0.5385
65.4
4.1
397
82.4
0.5438
15.4
0.2
664
-0.9
0.0904
competitive
0.0932
1.12
7.7
19.2
69.2
3.8
0.7692
0.02
59.89
0.1248
0.8484
-0.1248
-0.2315
186
187
164
185
131
0.1237
0.0108
0.3011
0.0108
0.0269
84.8
4.76
2,107
94.3
0.8595
-4
-0.46
-1,046
-12.8
-0.2253
competitive
0.0027
0.0003
1.06
0.05
0.1431
0.0328
0.2935
-0.0328
0.3234
849,634
59.7
3.83
389
76.2
0.4652
21.1
0.47
672
0.169
0.9663
0.4535
0.91
0.5184
0.6316
27,549
0.7956
5.3
457,719
75,871
23.1
58
4.5
14.4
849,635
21
66.9
4.54
406
84.2
0.5888
13.9
-0.24
655
0.0454
1
0.2
0.85
0.3
0.5
1
59.83
21.6
0.6
21
91.58
109
122
3.6358
36,357.87
0.06
156,696
42
0.0134
134.48
1,515.99
3,333.33
114.6
454.55
143.11
434.78
86.88
370.37
0.07
53.48
0.8
0
10
-0.1
-4
null
null
null
null
null
0
4,304
-0.004
-87.93
10,185
-0.012
0
12,995
0.013
-88.58
572,012
-0.737
-0.12
60,234
-0.047
-88.49
645,191
-0.836
0.06
-3
0.125
-88.05
-13,451
0.018
0.01
-4,737
0.06
-87.92
-11,287
-0.009
0.6342
null
null
1,061
0.23
7
1
0.897
decelerating
0.23
1.63
7
7
37
189
0.932
0.934
0.934
1
0.876
60,907
64,540
64,460
1
261
decelerating
-0.2
null
81.43
RXUXNJNE
Wafflelicious
Food and Drink
Restaurants
Breakfast restaurant
Breakfast restaurant
2188 TX-46 Suite 109, New Braunfels, TX 78132
2188 TX-46 Suite 109
New Braunfels
Texas
null
null
78,132
US
true
29.721959
-98.174017
America/Chicago
(830) 21*-****
2
null
true
true
null
true
New Braunfels
Texas
US
https
https://wafflelicioustx.com
wafflelicioustx.com
wafflelicioustx.com
com
639
2024-07-31
2026-07-31
Wix.com Ltd.
purchase_dataset@wafflelicioustx.com
realdomain
1
1
0
null
true
false
4.6
401
{"1": 16, "2": 12, "3": 24, "4": 25, "5": 346}
Outdoor seating, Delivery, Drive-through, Onsite services, Takeout, Dine-in
Fast service, Great coffee
Breakfast, Solo dining
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
Alcohol, Coffee, Comfort food, Quick bite, Small plates
Breakfast, Brunch, Lunch, Counter service, Dessert, Seating, Table service
Bar onsite, Restroom
Casual, Cozy, Trendy
Groups, Tourists
null
Credit cards, Debit cards
Good for kids, High chairs, Kids' menu
true
true
purchase_dataset@
true
true
3
2025-04-30
2026-02-14
366
76
24
366
366
76
76
https://www.instagram.com/wafflelicious_nbtx
wafflelicious_nbtx
https://www.facebook.com/wafflelicioustx
wafflelicioustx
null
null
null
null
null
null
null
null
null
null
null
null
null
null
751
13.75
null
11.32
43.74
14.24
22
null
null
null
null
null
null
null
null
null
null
null
2026-04-26T13:30:20.541320+00:00
0.83
2.37
1
11,711.96
397.8
131.3394
0.2
92
86.8
87.8
0.7771
0.6804
0.7177
0.7385
0.7771
0.6
0.9565
0.85
85.9
88.9
87.5
12.5
0
84.21
14.04
1.75
85.71
11.8
2.48
87.91
10.19
1.9
stable
declining
-0.0373
-3
-0.0594
-3.4
16
57
161
422
-29.2
-46
-15.8
76.1
57
76
30
88.4
34
124
116
157
30,423
37,439
41,226
288,418
421,891
414,274
309,188
124
3
6
4
5
24
15
24
101
84
439
278
553
76,416
145,254
786,928
1,595,281
786,928
0.617
0.0288
0.3791
-0.0288
0.381
0.54
0
0.2788
0
0.4813
0.7087
0.0249
0.2216
-0.0249
0.5385
100
5
23
3
3
4
0.6
0.6
0.4
0.6
0.6
68.2
4.3
464
81.4
0.5917
7.9
0.3
-63
6.4
0.19
5
4
15
0.8261
0.8696
0.3913
0.7826
0.9565
68.5
4.15
608
77.6
0.4715
7.6
0.45
-207
10.2
0.3102
24
15
84
0.77
Average
0.86
0.17
0.75
0.85
Strong
70.9
4.18
906
78.5
Average
0.5408
5.2
0.42
-505
9.3
0.2409
6
24
101
538
13
concentrated
0.1474
1.59
0
20
80
0
2,599
1,018
competitive
0.0279
0.29
0
13
78.3
8.7
7,093
5,013
competitive
0.0044
0.32
1
7
83
9
0.0338
0.4096
-0.0338
0.3505
100
101
34
15
90
0.67
0.86
0.11
0.73
0.83
73.1
4.24
945
80.3
0.5834
3
0.36
-544
7.5
0.1983
competitive
0.0042
0.85
0
3
85
12
0.559
0.2
8.09
0.1104
0.829
-0.1104
-0.0689
100
101
96
99
101
0.05
0.02
0
0.01
0.07
83.2
4.83
2,901
96
0.8883
-7.1
-0.23
-2,500
-8.2
-0.1066
competitive
0.0014
0.0001
1.97
0.03
0.026
0.0328
0.2935
-0.0328
0.4666
849,634
59.7
3.83
389
76.2
0.4652
16.4
0.77
12
0.3165
0.8742
0.7043
0.6355
0.7082
0.8462
104,668
0.7516
11.6
244,441
309,154
23.1
58
4.5
14.4
849,635
200
57.6
4.26
434
73.3
0.3987
18.5
0.34
-33
0.383
0.8593
0.5578
0.598
0.7487
0.8543
28
52.89
36.33
0.8593
200
11.06
904
769
1.0452
10,451.53
0.03
291,455
42
0.01
99.54
217.19
1,666.67
7.77
416.67
0.19
99.01
0.18
99.01
0.02
99.01
-1.4
0
19
0.1
10.3
null
null
null
null
null
0.05
-47,935
0.071
-68.41
-117,301
0.167
0.11
-79,280
0.125
-68.72
180,304
-0.22
0.12
-35,767
0.072
-68.72
253,594
-0.316
0.03
-7
0.086
-68.63
-217,931
0.078
-0.15
-6,383
0.082
-68.83
-212,076
0.191
0.7817
75
25
401
0.63
19
0.889
0.978
stable
0.63
4.43
19
19
61
401
0.985
0.985
0.985
0.882
0.97
15,300
16,282
16,307
2
68
stable
0.03
null
89.22
UP5NATPC
Mi Cocina
Food and Drink
Restaurants
Mexican restaurant
Mexican restaurant, Bar, Caterer, Latin American restaurant, Restaurant, Tex-Mex restaurant
971 E Interstate 30, Rockwall, TX 75087
971 E Interstate 30
Rockwall
Texas
null
null
75,087
US
true
32.903141
-96.454224
America/Chicago
(972) 72*-****
2
null
true
true
null
true
Rockwall
Texas
US
https
https://micocina.com/mexican-restaurants/tx/rockwall/rockwall-crossing
micocina.com/mexican-restaurants/tx/rockwall/rockwall-crossing
micocina.com
com
8,729
2002-06-07
2027-06-07
Network Solutions, LLC
"purchase_dataset@mcrowd.com, purchase_dataset@gmail.com, purchase_dataset@gmail.com, purchase_datas(...TRUNCATED)
null
5
4
1
Casual restaurant serving classic & innovative Tex-Mex plates, plus frozen margaritas.
true
true
4.43
1,072
{"1": 102, "2": 78, "3": 141, "4": 337, "5": 1654}
Outdoor seating, Curbside pickup, 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, Hard liquor, Healthy options, Private dining room, (...TRUNCATED)
Brunch, Lunch, Dinner, Catering, Dessert, Seating, Table service
Bar onsite, Restroom
Casual, Cozy, Trendy, Upscale
Family-friendly, Groups, Tourists
Accepts reservations
Credit cards, Debit cards, NFC mobile payments
Good for kids, Has changing table(s), High chairs, Kids' menu
true
true
purchase_dataset@
true
true
7
2025-04-01
2026-03-06
395
56
101
395
395
56
56
https://www.instagram.com/micocina
micocina
https://www.facebook.com/micocinalakewood
micocinalakewood
null
null
https://www.tiktok.com/@miicocina
miicocina
https://www.linkedin.com/company/mi-cocina-foods
mi-cocina-foods
https://www.youtube.com/channel/ucsylimcnjhc5pqii5mmcocw
ucsylimcnjhc5pqii5mmcocw
https://github.com/shamikbose
shamikbose
null
null
null
null
29,813
0.28
null
0.29
0.28
0.28
1,558
19,597
212
660,999
6.65
null
4.67
3.64
7.05
https://micocina.com/menu
null
null
2026-04-26T13:24:11.163849+00:00
62.51
0.26
0
17,792.91
254.3
166.6667
0.11
88.6
100
84.1
0.6975
0.8
0.7829
0.6918
0.6823
0.8043
0.68
0.62
89.1
84.1
90
10
0
89.74
10.26
0
83.53
14.12
2.35
84.15
14.75
1.09
stable
improving
0.0171
5
0.1006
5.9
10
39
85
183
-8.2
-14.8
-23.1
76.7
36.8
100
50
89.6
34
28
153
36
7,437
54,113
8,964
64,244
623,599
80,129
69,491
28
7
47
11
21
101
20
20
101
8
700
202
408
76,416
145,254
786,928
1,595,281
786,928
0.789
-0.0017
0.3812
0.0017
0.4588
0.8305
0
0.3044
0
0.5356
0.758
0.0229
0.4363
-0.0229
0.4037
100
46
100
7
9
11
0.8696
0.8261
0.7826
0.7391
0.8043
62.4
3.98
682
73.6
0.4245
14.3
0.45
390
10.5
0.2662
21
36
20
0.8
0.65
0.81
0.61
0.68
68.6
4.24
724
80
0.5638
8.1
0.19
348
4.1
0.1269
20
39
8
0.81
Market Leader
0.62
0.93
0.57
0.62
Strong
65
4.22
483
79.7
Strong
0.5534
11.7
0.21
589
4.4
0.1373
47
101
101
660
59
competitive
0.0331
14.64
10.9
17.4
65.2
6.5
2,260
1,010
competitive
0.0146
1.27
5
9
77
9
7,352
5,093
competitive
0.0217
0.32
9
12
72
7
0.0111
0.517
-0.0111
0.323
100
101
28
39
24
0.73
0.62
0.77
0.56
0.64
73.2
4.27
826
81
0.5885
3.5
0.16
246
3.1
0.1022
competitive
0.0128
1.28
1
0
87
12
0.709
0.11
15.49
0.1104
0.829
-0.1104
0.011
100
101
95
101
100
0.06
0
0.01
0
0.05
83.2
4.83
2,901
96
0.8883
-6.5
-0.4
-1,829
-11.9
-0.1976
competitive
0.0037
0.0001
1.97
0.03
0.027
0.0328
0.2935
-0.0328
0.5465
849,634
59.7
3.83
389
76.2
0.4652
17
0.6
683
0.2255
0.8895
0.5621
0.9179
0.5919
0.7137
91,856
0.7998
7.9
364,192
69,228
23.1
58
4.5
14.4
849,635
144
60.3
4.2
533
76.5
0.5122
16.4
0.23
539
0.1785
0.8671
0.5874
0.8531
0.6084
0.6713
20
61.4
22.56
0.6503
144
21.16
473
606
1.7482
17,482.17
0.03
291,455
42
0.01
99.54
10.93
212.77
2.13
99.01
4.72
99.01
1.64
99.01
0.14
99.01
-1.5
0.01
8
0
-6
null
null
null
null
null
0.01
41,091
-0.039
-87.13
283,119
-0.373
0.08
-21,253
0.049
-87.15
362,569
-0.468
0.02
21,241
0.002
-87.33
567,988
-0.736
-0.07
22
-0.093
-87.02
-19,341
-0.247
-0.11
-5,222
0.066
-86.92
-15,630
-0.021
0.6907
null
null
1,072
0.13
4
0.667
0.871
decelerating
0.13
0.93
4
4
28
161
0.855
0.859
0.859
0.667
0.836
119,501
126,570
126,222
4
1,066
decelerating
-0.2
null
83.96
Y974JV8B
Imperial Biryani & Cafe
Food and Drink
Restaurants
Indian restaurant
Indian restaurant, Halal restaurant, Hyderabadi restaurant
400 N Greenville Ave #23, Richardson, TX 75081
400 N Greenville Ave #23
Richardson
Texas
null
Highland Terrace
75,081
US
true
32.954248
-96.727428
America/Chicago
(214) 43*-****
2
null
true
true
null
true
Richardson
Texas
US
https
https://imperialbiryanicafe.com
imperialbiryanicafe.com
imperialbiryanicafe.com
com
572
2024-10-06
2030-10-06
GoDaddy.com, LLC
purchase_dataset@gmail.com, purchase_dataset@owner.com
null
2
1
1
null
true
false
4.39
889
{"1": 84, "2": 21, "3": 37, "4": 84, "5": 755}
Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in
Serves local specialty
Lunch, Dinner, Solo dining
"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)
Comfort food, Quick bite, Small plates, Vegan options, Vegetarian options
Lunch, Dinner, Catering, Counter service, Dessert, Seating
Restroom, Wi-Fi
Casual
Family-friendly, Groups
Accepts reservations
Credit cards, Debit cards, NFC mobile payments
Good for kids, High chairs
true
true
purchase_dataset@
true
true
3
2024-12-18
2026-02-23
499
67
24
499
499
67
67
https://www.instagram.com/imperial.biryani
imperial.biryani
https://www.facebook.com/ibffa
ibffa
null
null
null
null
null
null
null
null
null
null
null
null
null
null
1,756
0.61
null
0.66
0.46
0.45
97
null
null
null
null
null
null
null
null
https://imperialbiryanicafe.com/menu
null
null
2026-04-26T13:05:24.311529+00:00
1.47
9.37
0.8
8,548.26
307.4
62.7329
0.27
87.8
98.3
84.5
0.6893
0.8346
0.7148
0.6613
0.6961
0.6338
0.5
0.32
85.7
84.8
95.65
4.35
0
88.95
10.5
0.55
85.17
13.25
1.58
86.19
11.38
2.43
improving
stable
0.1198
0.9
0.0187
1.1
46
181
317
659
14.2
9.9
-23.8
76.2
79.3
52
30
83.3
34
128
409
164
14,673
58,338
18,702
124,328
673,214
165,820
134,583
128
16
72
17
53
101
70
78
101
84
756
517
895
76,416
145,254
786,928
1,595,281
786,928
0.221
0.0547
0.6001
-0.0547
0.0339
0.6831
0.038
0.3748
-0.038
0.2592
0.432
0.0709
0.5525
-0.0709
0.0815
100
71
100
16
40
17
0.7887
0.4507
0.7746
0.4366
0.6338
64.2
4.09
545
81.8
0.512
12
0.3
344
2.7
0.1687
53
52
70
0.48
0.49
0.31
0.44
0.5
74.7
4.39
1,004
84.9
0.6476
1.5
0
-115
-0.4
0.0331
78
75
84
0.23
Strong
0.26
0.17
0.26
0.32
Average
79
4.51
1,205
87.8
Below Average
0.7229
-2.8
-0.12
-316
-3.3
-0.0422
72
101
101
622
13
competitive
0.0225
22.6
11.3
14.1
67.6
7
3,152
1,011
competitive
0.0088
1.27
4
0
69
27
8,284
5,391
competitive
0.0073
0.32
0
0
57
43
0.0428
0.5596
-0.0428
0.0744
100
101
55
61
69
0.46
0.4
0.32
0.37
0.46
74.8
4.44
1,028
86
0.6544
1.4
-0.05
-139
-1.5
0.0263
competitive
0.0086
1.35
4
0
68
28
0.4
0.27
6.26
0.1104
0.829
-0.1104
-0.195
100
101
96
101
101
0.05
0
0
0
0.05
83.2
4.83
2,901
96
0.8883
-7
-0.44
-2,012
-11.5
-0.2076
competitive
0.0031
0.0001
1.97
0.03
0.02
0.0328
0.2935
-0.0328
0.3405
849,634
59.7
3.83
389
76.2
0.4652
16.5
0.56
500
0.2155
0.8768
0.5281
0.8414
0.6036
0.6988
102,487
0.7616
8.3
393,899
134,549
23.1
58
4.5
14.4
849,635
412
60.2
4.25
508
78.5
0.4932
16
0.14
381
0.1875
0.8127
0.4696
0.7543
0.5353
0.6399
76
61.18
25.83
0.7299
412
8.37
1,195
1,610
0.8605
8,604.58
0.03
291,455
42
0.01
99.54
5.05
138.89
0.77
99.01
0.54
99.01
0.74
99.01
0.09
99.01
0.3
0.01
65
0.6
16.8
null
null
null
null
null
0.05
-38,491
0.067
-72.11
110,973
-0.138
0.02
19,038
-0.017
-71.98
12,410
-0.008
0.03
34,052
-0.041
-71.82
-63,120
0.09
0.03
-55
0.1
-72.12
-150,589
-0.004
-0.12
-9,924
0.124
-72.3
-145,350
0.118
0.6807
83.33
16.67
889
1.93
58
1
0.99
accelerating
1.93
13.53
58
58
139
650
0.997
0.997
0.997
1
0.988
2,886
3,050
3,064
1
9
accelerating
0.46
null
87.01
End of preview. Expand in Data Studio

Tech-Ready Restaurants in Texas, US

Free sample dataset from BeamStation

The 'Tech-Ready Restaurants in Texas' dataset highlights a curated list of 1,201 eateries across the state that are primed for digital upgrades. Each record represents a restaurant with a Beam Score above 70 and recent sentiment scores exceeding 10 over the past thirty days, indicating strong operational health and customer satisfaction. Despite their solid performance, these venues currently lack both online reservation systems and online ordering capabilities, making them ideal targets for technology providers seeking low-hanging fruit. The dataset is refreshed weekly, ensuring users have access to the latest information on establishment status and market readiness. Stakeholders such as SaaS vendors, consulting firms, investment analysts, and restaurant technology integrators can use this list to identify prospects, prioritize outreach, and tailor modernization pitches. By focusing on establishments that already demonstrate financial stability and positive guest feedback, the dataset helps streamline sales cycles and improve conversion rates for tech adoption initiatives.

Dataset Details

Field Value
Full dataset 1,201 records
Sample size 120 records
Location Texas
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/tech-ready-restaurants-in-texas-us-130655")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 1,201 records and unmasked contact data is available at:

Tech-Ready Restaurants in Texas, US on BeamStation

License

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

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