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NotebookLM works well for document Q&A, but YouTube support is pretty limited:

• you have to add videos one by one
• there’s a ~50 source cap
• most channels are way larger than that

I needed a way to ingest an entire channel, so I put together a small script that:

• lists all videos from a channel / playlist (via yt-dlp)
• fetches transcripts (no API key)
• exports clean Markdown files

Pipeline

channel / playlist
 → yt-dlp (list videos)
 → transcript fetch
 → markdown export
 → upload to NotebookLM

Output modes

• bundles/*.md Packs multiple videos into fewer files (helps stay under NotebookLM limits)
• videos/*.md One file per video (better citation granularity)

Quick example

python main.py u/veritasium --limit 10

Notes

• only videos with captions are included
• large channels → better to chunk (--limit)
• no translation (NotebookLM handles that anyway)

Why this helps

Instead of:

• uploading 100+ videos manually

You can:

• upload a few Markdown files
• search across the entire channel

Curious if others here have a cleaner pipeline for this (especially for large channels / RAG setups).

I wrapped this into a small CLI, can share the repo if useful.