YouTube Transcripts as an LLM Training Dataset
Build a clean text corpus from YouTube channels for LLM fine-tuning and evaluation. Paragraph text, sound cues removed, export to JSON or CSV.
Input
Output fields
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The YouTube Subtitles & Transcript Scraper API - Channels Actor is ready to run with the inputs already set for "YouTube Transcripts as an LLM Training Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube Transcripts as an LLM Training Dataset" task
The YouTube Subtitles & Transcript Scraper API - Channels Actor will start running based on the input automatically. You can also change all the input fields, like videos, channels, playlists, or searches, transcript format, and more, to match your specific use case.
Receive the "YouTube Transcripts as an LLM Training Dataset" 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 video id, URL, title, 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 "YouTube Transcripts as an LLM Training Dataset" task via API.
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