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Build a Yelp reviews dataset for AI or RAG

Create a small public Yelp review dataset with text, ratings, business context, dates, and source URLs for AI or RAG prototypes.

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Yelp Reviews Scraper
Yelp Reviews Scraperfetch_cat/yelp-reviews-scraper
Review ID
Review position
Review URL
Business ID
+20 fields
Text
Number
Boolean
List
Object

Input

Yelp business URLs
url:https://www.yelp.com/biz/gary-danko-san-francisco
Maximum reviews per business:10
Sort order:RELEVANCE_DESC
Redact reviewer profile URLs:true

Output fields

Review ID
Review position
Review URL
Business ID
Business name
Business alias
Business rating
Business review count
Review rating
Review text
Language
Created at (UTC)
Created at (local)
Reviewer name
Reviewer location
Reviewer review count
Reviewer friend count
Reviewer photo count
Media count
Useful, funny, and cool counts
Current Yelp reactions
Owner reply
Source URL
Collected at

How it works

Sign up on Apify or log in

The Yelp Reviews Scraper Actor is ready to run with the inputs already set for "Build a Yelp reviews dataset for AI or RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a Yelp reviews dataset for AI or RAG" task

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

Receive the "Build a Yelp reviews dataset for AI or RAG" 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 review id, review position, review url, 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 reviews dataset for AI or RAG" task via API.

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