Build a public Facebook group feedback corpus

Created by

Khadin Akbar

Actor

Facebook Group Posts Scraper

Gather post text, authors, reactions, comments, and top comments from public groups for brand and product feedback analysis.

Try for free

Facebook Group Posts Scraperkhadinakbar/facebook-group-posts-scraper

Post URL

Text

Author Name

Published At

+8 fields

Input

Facebook group URLs:https://www.facebook.com/groups/homemakingtips/

Maximum posts:10

Max provider pages per group:4

Sort by:TOP_POSTS

Data source:auto

Use browser fallback:true

Max browser scrolls:6

Include raw response data:true

Output fields

Post URL

Text

Author Name

Published At

Reaction Count

Comment Count

Share Count

Engagement Count

Image URL

Group URL

Source

Scraped At

How it works

Sign up on Apify or log in

The Facebook Group Posts Scraper Actor is ready to run with the inputs already set for "Build a public Facebook group feedback corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a public Facebook group feedback corpus" task

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

Receive the "Build a public Facebook group feedback corpus" 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 post url, text, author name, 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 "Build a public Facebook group feedback corpus" task via API.