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Collect a comment corpus for model evaluation

Pull public comments from a Facebook post or reel into structured rows for labeling, prompt testing, or lightweight model evaluation.

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Facebook Post Comments Scraper
Facebook Post Comments Scraperkhadinakbar/facebook-comments-scraper
Author name
Comment text
Created at
Reaction count
+3 fields
Text
Number
Boolean
List
Object

Input

Facebook post or reel URLs(required):https://www.facebook.com/reel/753347914167361
Total comments limit:20
Max comments per post:20
Include reaction breakdown:false

Output fields

Author name
Comment text
Created at
Reaction count
Reply count
Post URL
Scrape source

How it works

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The Facebook Post Comments Scraper Actor is ready to run with the inputs already set for "Collect a comment corpus for model evaluation". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect a comment corpus for model evaluation" task

The Facebook Post Comments Scraper Actor will start running based on the input automatically. You can also change all the input fields, like facebook post or reel urls, total comments limit, and more, to match your specific use case.

Receive the "Collect a comment corpus for model evaluation" 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 author name, comment text, created at, 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 "Collect a comment corpus for model evaluation" task via API.

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