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Yelp customer voice corpus

Collect review text with author, business and source identity intact for local reputation research.

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Yelp Review Scraper
Yelp Review Scraperreapx/yelp-review-scraper
Text
Review ID
Review URL
Author Display Name
+8 fields
Text
Number
Boolean
List
Object

Input

Which source URLs?:https://www.yelp.com/biz/gary-danko-san-francisco
How many results?:3

Output fields

Text
Review ID
Review URL
Author Display Name
Business ID
Business Name
Scraped At
URL
Business URL
Route
Source Input
Photos

How it works

Sign up on Apify or log in

The Yelp Review Scraper Actor is ready to run with the inputs already set for "Yelp customer voice corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Yelp customer voice corpus" task

The Yelp Review Scraper Actor will start running based on the input automatically. You can also change all the input fields, like which source urls? and how many results?, to match your specific use case.

Receive the "Yelp customer voice corpus" 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 text, review id, 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 "Yelp customer voice corpus" task via API.

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Integrate "Yelp customer voice corpus" into your workflow

Connect "Yelp customer voice corpus" with 100+ integrations, or run it via API or MCP.

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