Build a RAG dataset from Skool posts
Bulk-export Skool posts and comments as clean JSON text for embeddings, fine-tuning or a community knowledge base. Authors and URLs included.
Skool Posts & Comments Scraper — Full Threads & Engagementscrapersdelight/skool-posts-scraper
Type
Title
Author
Likes
+4 fieldsTextNumberBooleanListObject
Input
Skool community URL (or slug):https://www.skool.com/ai-automation-society
Include comments & replies:true
Max posts:0
Output fields
Type
Title
Author
Likes
Comments
Category
Posted
Post
Sign up on Apify01
Create your Apify account to access the Skool Posts & Comments Scraper — Full Threads & Engagement.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
