Go to example tasks
Negative Yelp Reviews for Complaint Analysis
Created by
ВAH
Actor
Yelp Reviews Scraper
Understand what drives customers away. Set Rating to 1 star and the scraper returns only 1-star reviews, each with review_text, review_date, latest_reviewer_rating, helpful_count and oh_no_count, so you can rank complaints yourself by how many people relate. This filtered subset usually ends below the cap. This demo caps Max_reviews at 100; set Max_reviews to 0 for all.
Yelp Reviews Scraperdelicious_zebu/yelp-reviews-scraper
Business URL
Business Name
Average Rating
Total Reviews
+29 fieldsTextNumberBooleanListObject
Input
Yelp Business URLs(required):https://www.yelp.com/biz/coffee-project-new-york-east-village-new-york
Filter by Rating:1 star
Max Reviews Per URL:100
Output fields
Business URL
Business Name
Average Rating
Total Reviews
Price Range
Business Address
Contact Number
Review Counts by Rating
Latest Reviewer Name
Review Avatar Url
Review Id
Latest Reviewer Details
Latest Reviewer Location
Latest Reviewer Rating
Review Date
Review Text
Review Media URLs
Helpful Count
Thanks Count
Love This Count
Oh No Count
Response Author Name
Response Date
Response Content
Review Language
Reviewer Elite
Reviewer Profile URL
Review Photo Captions
Review Counts by Language
Useful Count
Funny Count
Cool Count
Is First Review
Sign up on Apify01
Create your Apify account to access the Yelp Reviews Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
