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.
Input
Output fields
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 "Build a RAG dataset from Skool posts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build a RAG dataset from Skool posts" 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), include comments & replies, and more, to match your specific use case.
Receive the "Build a RAG dataset from Skool posts" 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 "Build a RAG dataset from Skool posts" task via API.
