Turn a YouTube channel into RAG-ready transcript chunks
Pull transcripts for the latest videos of any YouTube channel and get one row per chunk, sized for embeddings, with timestamps and deep links. Drop the dataset into a vector database or LangChain/n8n pipeline.
Input
Output fields
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The YouTube Channel & Playlist Transcripts (Bulk, RAG Chunks) Actor is ready to run with the inputs already set for "Turn a YouTube channel into RAG-ready transcript chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Turn a YouTube channel into RAG-ready transcript chunks" task
The YouTube Channel & Playlist Transcripts (Bulk, RAG Chunks) Actor will start running based on the input automatically. You can also change all the input fields, like video, channel, or playlist urls, max videos per source, and more, to match your specific use case.
Receive the "Turn a YouTube channel into RAG-ready transcript chunks" 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, title, channel, 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 "Turn a YouTube channel into RAG-ready transcript chunks" task via API.
Integrate "Turn a YouTube channel into RAG-ready transcript chunks" into your workflow
Connect "Turn a YouTube channel into RAG-ready transcript chunks" with 100+ integrations, or run it via API or MCP.
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