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Facebook post copy in one reading corpus

Collect published text and post content across a page or competitor set. Engagement stays beside the copy so a content review is tied to audience response.

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Facebook Post Scraper
Facebook Post Scraperreapx/facebook-post-scraper
Author
Post URL
Published as shown
Content
Text
Number
Boolean
List
Object

Input

Which source URLs?:https://www.facebook.com/groups/metadevelopers/posts/2126673554953817/+1

Output fields

Author
Post URL
Published as shown
Content

How it works

Sign up on Apify or log in

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

Start the "Facebook post copy in one reading corpus" task

The Facebook Post Scraper Actor will start running based on the input automatically. You can also change all the input fields, like which source urls?, to match your specific use case.

Receive the "Facebook post copy in one reading 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 author, post url, published as shown, 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 "Facebook post copy in one reading corpus" task via API.

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Integrate "Facebook post copy in one reading corpus" into your workflow

Connect "Facebook post copy in one reading corpus" with 100+ integrations, or run it via API or MCP.

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