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Scrape Skool post comments & replies

Extract the full nested comment tree from Skool posts: author, text, likes, reply depth, created date and comment URL. CSV/JSON export.

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Skool Posts & Comments Scraper β€” Full Threads & Engagement
Skool Posts & Comments Scraper β€” Full Threads & Engagementscrapersdelight/skool-posts-scraper
Type
Title
Author
Likes
+4 fields
Text
Number
Boolean
List
Object

Input

Skool community URL (or slug):https://www.skool.com/ai-automation-society
Max comments per post:200
Include comments & replies:true

Output fields

Type
Title
Author
Likes
Comments
Category
Posted
Post

How it works

Sign up on Apify or log in

The Skool Posts & Comments Scraper β€” Full Threads & Engagement Actor is ready to run with the inputs already set for "Scrape Skool post comments & replies". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape Skool post comments & replies" task

The Skool Posts & Comments Scraper β€” Full Threads & Engagement Actor will start running based on the input automatically. You can also change all the input fields, like skool community url (or slug), max comments per post, and more, to match your specific use case.

Receive the "Scrape Skool post comments & replies" 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 type, title, 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 Skool post comments & replies" task via API.

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