Facebook Recommendation Monitoring Workflow
Created by
Stas Persiianenko
Run a deeper recurring reputation workflow across McDonald's, KFC, Burger King, and Starbucks Pages with stable IDs for downstream deduplication.
Facebook Page Recommendations Scraperautomation-lab/facebook-page-recommendations-scraper
Page
Reviewer
Recommends
Recommendation text
+7 fieldsTextNumberBooleanListObject
Input
Facebook Page URLs(required)
url:https://www.facebook.com/McDonalds/reviews+3
Maximum recommendations:100
Maximum scrolls per Page:8
Wait after each scroll (milliseconds):2000
Output fields
Page
Reviewer
Recommends
Recommendation text
Displayed timestamp
Review URL
Reactions
Comments
Recommendation percent
Page review count
Scraped at
Sign up on Apify01
Create your Apify account to access the Facebook Page Recommendations 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.
