This n8n template demonstrates how to automate the scraping of posts, comments, and sub-comments from a Facebook Group and store the data in a Supabase database.

Use cases are many: Gather user engagement data for analysis, archive posts and comments for research, or monitor community sentiment by collecting feedback across discussions!

Good to know

At the time of writing, this workflow requires the apify api for scraping and Supabase credentials for database storage.

How it works

• The Facebook Group posts are retrieved using an Apify scraper node.
• For each post, comments and sub-comments are collected recursively to capture all levels of engagement.
• The data is then structured and stored in Supabase, creating records for posts, comments, and sub-comments.
• This workflow includes the option to adjust how often it scrapes and which group to target, making it easy to automate collection on a schedule.

How to use

• The workflow is triggered manually in the example, but you can replace this with other triggers like webhooks or scheduled workflows, depending on your needs.
• This workflow is capturing data points, such as user interactions or media attached to posts.

Requirements

• Apify account API
• Supabase account for data storage

Customizing this workflow

This template is ideal for gathering and analyzing community feedback, tracking discussions over time, or archiving group content for future use.