Analyze launch feedback from public Facebook post comments

Created by

Khadin Akbar

Actor

Facebook Post Comments Scraper

Collect public comments from launch posts to review customer sentiment, feature requests, and early reactions.

Try for free

Facebook Post Comments Scraperkhadinakbar/facebook-comments-scraper

Author name

Comment text

Created at

Reaction count

+3 fields

Input

Facebook post or reel URLs(required):https://www.facebook.com/reel/753347914167361

Total comments limit:10

Max comments per post:10

Output fields

Author name

Comment text

Created at

Reaction count

Reply count

Post URL

Scrape source

How it works

Sign up on Apify or log in

The Facebook Post Comments Scraper Actor is ready to run with the inputs already set for "Analyze launch feedback from public Facebook post comments". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze launch feedback from public Facebook post comments" 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 "Analyze launch feedback from public Facebook post comments" 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.