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Build an AI-Ready Facebook Post Dataset

Build a structured Facebook post and comment dataset for AI, RAG, analytics, and agent workflows. Nested output preserves post context, parent-child comment threads, authors, timestamps, reactions, media, and coverage metadata. MCP-ready JSON. No cookies or login.

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Facebook Posts & Comments Scraper - Groups/Pages
Facebook Posts & Comments Scraper - Groups/Pagesspbotdel/facebook-group-posts-comments-scraper
Post URL
Created
Post text
Author
+6 fields
Text
Number
Boolean
List
Object

Input

Facebook URLs(required)
Facebook URL(required):https://www.facebook.com/groups/2333220550043074/
Max posts per surface:5
Comments mode:full
Max comments per post:25
Include replies:true
Union comment sort windows:true
Comments output:nested

Output fields

Post URL
Created
Post text
Author
Stats
Comments
Announced
Coverage %
Comments status
Comment rows

How it works

Sign up on Apify or log in

The Facebook Posts & Comments Scraper - Groups/Pages Actor is ready to run with the inputs already set for "Build an AI-Ready Facebook Post Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build an AI-Ready Facebook Post Dataset" task

The Facebook Posts & Comments Scraper - Groups/Pages Actor will start running based on the input automatically. You can also change all the input fields, like facebook urls, max posts per surface, and more, to match your specific use case.

Receive the "Build an AI-Ready Facebook Post Dataset" 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, created, post text, 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 an AI-Ready Facebook Post Dataset" task via API.

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