Scrape Facebook Posts with Full Comment Threads

Created by

Unseen User

Actor

Facebook Page Posts & Comments Scraper [No Cookies, No Login] ✅

Get a Facebook page's recent posts plus every public comment on each: commenter name, text, and timestamp. Posts and comments in one run.

Try for free

Facebook Page Posts & Comments Scraper [No Cookies, No Login] ✅unseenuser/fb-posts

Row

Post ID

Post author

Post text

+24 fields

Input

Profiles, pages, groups or posts(required):bbcnews

Max posts per source (0 = everything):10

Fetch all comments:true

Output fields

Row

Post ID

Post author

Post text

Comment / reply author

Comment / reply text

Comment reactions

Replies

Comment link

Comment #

Parent comment ID

Video transcript

Post shares

Video views

Feedback ID

Author verified

Music track

Video length (s)

Video captions

Post permalink

Post reactions

Post comments

Published

Mode

Source

Page

Fetched at

Error

How it works

Sign up on Apify or log in

The Facebook Page Posts & Comments Scraper [No Cookies, No Login] ✅ Actor is ready to run with the inputs already set for "Scrape Facebook Posts with Full Comment Threads". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape Facebook Posts with Full Comment Threads" task

The Facebook Page Posts & Comments Scraper [No Cookies, No Login] ✅ Actor will start running based on the input automatically. You can also change all the input fields, like profiles, pages, groups or posts, max posts per source (0 = everything), and more, to match your specific use case.

Receive the "Scrape Facebook Posts with Full Comment Threads" 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 row, post id, post author, 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 "Scrape Facebook Posts with Full Comment Threads" task via API.