YouTube playlist transcripts for AI and RAG
Every transcript of a YouTube playlist as clean text without timestamps, one row per video, ready to chunk and load into a vector database or a RAG pipeline. The example is 3Blue1Brown's neural networks course: replace it with any playlist or channel.
Input
Output fields
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The YouTube Transcript Scraper – Subtitles, SRT, Channels Actor is ready to run with the inputs already set for "YouTube playlist transcripts for AI and RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube playlist transcripts for AI and RAG" task
The YouTube Transcript Scraper – Subtitles, SRT, Channels Actor will start running based on the input automatically. You can also change all the input fields, like youtube urls and include timestamped segments, to match your specific use case.
Receive the "YouTube playlist transcripts for AI and RAG" 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, status, 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 playlist transcripts for AI and RAG" task via API.
Integrate "YouTube playlist transcripts for AI and RAG" into your workflow
Connect "YouTube playlist transcripts for AI and RAG" with 100+ integrations, or run it via API or MCP.
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