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Facebook Page Feedback Research

Collect public Facebook Page recommendations from portosbakery, theritzsj, and LaTagliatella with up to 10 per Page and 25 total, plus available comments, engagement fields, and up to 5 direct replies per included comment.

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Facebook Reviews Scraper
Facebook Reviews Scrapermaximedupre/facebook-reviews-scraper
Recommendation ID
Recommendation text
Recommendation status
Published at
+10 fields
Text
Number
Boolean
List
Object

Input

Facebook Pages(required):portosbakery+2
Recommendations per Page:10
Total recommendations:25
Replies per comment:5

Output fields

Recommendation ID
Recommendation text
Recommendation status
Published at
Recommendation URL
Page
Reviewer
Tags
Reaction count
Reaction breakdown
Comment count
Share count
Recommendation media
Comments

How it works

Sign up on Apify or log in

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

Start the "Facebook Page Feedback Research" task

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

Receive the "Facebook Page Feedback Research" 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 recommendation id, recommendation text, recommendation status, 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 "Facebook Page Feedback Research" task via API.

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Integrate "Facebook Page Feedback Research" into your workflow

Connect "Facebook Page Feedback Research" with 100+ integrations, or run it via API or MCP.

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