Analyze Facebook recommendations for a retail Page

Created by

Automation Lab

Actor

Facebook Page Recommendations Scraper

Collect public recommendation records and the current Page reputation summary from a retail brand Facebook Page.

Try for free

Facebook Page Recommendations Scraperautomation-lab/facebook-page-recommendations-scraper

Page

Reviewer

Recommends

Recommendation text

+8 fields

Input

Facebook Page URLs(required)

url:https://www.facebook.com/target/reviews

Maximum recommendations:30

Maximum scrolls per Page:4

Output fields

Page

Reviewer

Recommends

Recommendation text

Displayed timestamp

Review URL

Reactions

Comments

Recommendation percent

Page review count

Scraped at

Stable review key

How it works

Sign up on Apify or log in

The Facebook Page Recommendations Scraper Actor is ready to run with the inputs already set for "Analyze Facebook recommendations for a retail Page". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze Facebook recommendations for a retail Page" task

The Facebook Page Recommendations Scraper Actor will start running based on the input automatically. You can also change all the input fields, like facebook page urls, maximum recommendations, and more, to match your specific use case.

Receive the "Analyze Facebook recommendations for a retail Page" 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 page, reviewer, recommends, 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 "Analyze Facebook recommendations for a retail Page" task via API.