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Build a Yelp review corpus for grounded analysis

Collect public Yelp reviews from a specific business to create a source-linked corpus for retrieval, evaluation, or research.

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Yelp Reviews Scraper for Business Feedback
Yelp Reviews Scraper for Business Feedbackkhadinakbar/yelp-reviews-scraper
Type
Business
Rating
Review
+5 fields
Text
Number
Boolean
List
Object

Input

Yelp business URLs
url:https://www.yelp.com/biz/molinari-delicatessen-san-francisco
Max reviews per business:10
Sort reviews by:date_desc
Review language filter:all
Push a business summary record:true

Output fields

Type
Business
Rating
Review
Author
Date
Useful
Owner reply
URL

How it works

Sign up on Apify or log in

The Yelp Reviews Scraper for Business Feedback Actor is ready to run with the inputs already set for "Build a Yelp review corpus for grounded analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a Yelp review corpus for grounded analysis" task

The Yelp Reviews Scraper for Business Feedback Actor will start running based on the input automatically. You can also change all the input fields, like yelp business urls, max reviews per business, and more, to match your specific use case.

Receive the "Build a Yelp review corpus for grounded analysis" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, business, rating, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a Yelp review corpus for grounded analysis" task via API.

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