Dataset MarketplaceB2BYelp businesses reviews

Yelp businesses reviews

Use our Yelp Businesses Reviews dataset to explore ratings and reviews for local businesses, including restaurants, bars, cafes, and hotels. Popular use cases include analyzing customer sentiment, benchmarking business performance, and gaining insights into local market trends. Use it for enrichment, market research, and lead generation — sample the fields free, then pull the records you need on demand.
yelp.com Public web data Monthly refresh
Data-fields
22
Total records
204.93M
Price
up to $0.005/record
Min order
$350
Data sample
Description
Statistics
Dictionary
Related
Data sample
DateRatingContentdb_sourcetimestampbusiness_idReview_imagereview_order
25/04/20241Terrible service! I scheduled the plumber to come out on my day off to17846094207822026-07-21american-water-resources-mount-laurel-28
22/04/20241they steal from dead people and lie. they refuse to refund money they17846094207822026-07-21american-water-resources-mount-laurel-29
13/06/20251Very poor costumer service, Unqualified rude stuff, long wait on phone17846094207822026-07-21american-water-resources-mount-laurel-23
04/04/20241Called to submit claim, lady (could not speak good English) lots of no17846094207822026-07-21american-water-resources-mount-laurel-21
18/03/20241Avoid by all means, totally a scam company. Tried to report a leak a17846094207822026-07-21american-water-resources-mount-laurel-22
15/03/20241terrible customer service.....after hours on hold waiting for a superv17846094207822026-07-21american-water-resources-mount-laurel-23
14/03/20241I have been waiting for a refund on my waterline protection program. S17846094207822026-07-21american-water-resources-mount-laurel-24
04/03/20241I paid $12.80/month to NJ American water for years for a Water Line Pr17846094207822026-07-21american-water-resources-mount-laurel-25
04/03/20241These guys are thieves - RUN - they send out incompetent workmen, such17846094207822026-07-21american-water-resources-mount-laurel-26
21/02/20241DO NOT USE THIS COMPANY!!!!!! They will give you the runaround and wil17846094207822026-07-21american-water-resources-mount-laurel-27
29/01/20241Worst company out there! They will take your premiums every month for 17846094207822026-07-21american-water-resources-mount-laurel-28
02/01/20241This is the worst experience I think I have ever had with a company. I17846094207822026-07-21american-water-resources-mount-laurel-2["https://s3-media0.fl.yelpcdn.com/bphoto/rHqM4quy9
Description
The Yelp businesses reviews dataset standardizes yelp.com data into analysis-ready fields: business_id, Review_auther, Rating, Date, Content, Review_image, Reactions, Replies, and more. Use our Yelp Businesses Reviews dataset to explore ratings and reviews for local businesses, including restaurants, bars, cafes, and hotels. Popular use cases include analyzing customer sentiment, benchmarking business performance, and gaining insights into local market trends. Common uses include enrichment, lead generation, market and competitor research, and feeding downstream AI models. 204.93M records available, refreshed monthly, from $0.005 per record — minimum order $350. Preview a sample free before you buy.
Record updates over time
31,708
Last 7 days
20,610
7-30 days
9,512
30-90 days
2,537
90+ days
Data dictionary
Column nameDescriptionTypeFill rate
business_id A unique identifier for the business Text
100%
Review_auther The author or user who wrote the review Object
100%
Rating The rating given by the reviewer Number
100%
Date The date when the review was posted Date
99.23%
Content The textual content of the review Text
100%
Review_image An image associated with the review Array
18.55%
Reactions Reactions received from other users on the review Array
98.46%
Replies Replies or responses to the review Array
9.96%
review_order The order or sequence of the review among others for the same business Number
76.16%
Eelite_status Indicates whether the author of the review has elite status Text
1.3%
check-in_status Indicates whether the author checked in at the business Text
8.3%
business_name The name of the business being reviewed Text
98.4%
url The URL or link to the business page Url
9.92%
recommended_review Is it recommended Boolean
7.04%
unrecommended_reviews Column indicates if a review is not recommended. Contains boolean values with null values present, where true means the review is not recommended. Boolean
0.03%
profile_pic_url Column stores URL links to user profile pictures. All values in this column are NULL, indicating missing or non-existent profile picture URLs. Url
0.17%
sort_by Column for specifying sorting preferences in queries. Contains NULL values, likely accepts sorting direction indicators or field names for sorting operations. Text
0.08%
start_date Column stores the beginning date of an event or period. Values are dates in standard format, with all values being NULL in the sample. Date
0.03%
end_date Column stores the end date of an event or period. Contains only NULL values in datetime format, indicating all records have no specified end date. Date
0.03%
review_id Text
4.89%
date_iso_format Date
4.96%
timestamp Date
%