notebooklm

What this skill does

# NotebookLM Automation

Unofficial Python CLI and API for Google NotebookLM (`notebooklm-py`). Provides full programmatic access including capabilities the web UI doesn't expose.

## Prerequisites

- Python 3.10+
- Google account with NotebookLM access
- One-time browser login via Playwright

## Installation

```bash
# Install with browser login support
pip install "notebooklm-py[browser]"
playwright install chromium

# Linux only: also run
playwright install-deps chromium
```

## Authentication

First-time setup requires browser login:

```bash
notebooklm login
# Opens Chromium → sign into Google → press Enter when done
# Session saved to ~/.notebooklm/storage_state.json
```

Check auth status: `notebooklm auth check --test`

For headless/CI environments, copy `storage_state.json` from a local machine or set `NOTEBOOKLM_AUTH_JSON` env var.

## Environment Variables

| Variable | Description | Default |
|----------|-------------|---------|
| `NOTEBOOKLM_HOME` | Config directory | `~/.notebooklm` |
| `NOTEBOOKLM_AUTH_JSON` | Inline auth JSON (CI/CD) | — |
| `NOTEBOOKLM_LOG_LEVEL` | `DEBUG`/`INFO`/`WARNING`/`ERROR` | `WARNING` |
| `NOTEBOOKLM_DEBUG_RPC` | Enable RPC debug (`1`) | `false` |

## Core Workflow

The typical workflow is: **create notebook → add sources → generate content → download**.

### 1. Notebook Management

```bash
notebooklm create "My Research"       # Create notebook
notebooklm list                        # List all notebooks
notebooklm use <id>                    # Set active notebook (supports partial ID)
notebooklm summary                     # AI summary of current notebook
notebooklm rename "New Title"          # Rename
notebooklm delete <id>                 # Delete
```

### 2. Adding Sources

Sources are auto-detected by type:

```bash
notebooklm source add "https://example.com/article"          # URL
notebooklm source add "https://youtube.com/watch?v=..."       # YouTube
notebooklm source add ./document.pdf                           # File (PDF, MD, DOCX, TXT, audio, video, images)
notebooklm source add-drive <drive-file-id> "Title"           # Google Drive
notebooklm source add-research "climate policy" --mode deep --import-all  # Research agent
```

Other source commands:

```bash
notebooklm source list                # List sources
notebooklm source fulltext <id>       # Get source full text
notebooklm source guide <id>          # AI-generated source guide
notebooklm source rename <id> "New"   # Rename
notebooklm source refresh <id>        # Re-fetch URL source
notebooklm source delete <id>         # Delete
```

### 3. Chat / Q&A

```bash
notebooklm ask "What are the key findings?" -s <source_id>
notebooklm ask "Compare sources" --json --save-as-note --note-title "Comparison"
notebooklm history                     # View chat history
notebooklm history --save              # Save history as note
```

### 4. Content Generation

All generate commands support: `-s/--source` (repeatable, limit to specific sources), `--json`, `--language`, `--retry N`.

Most are async — use `--wait` to block until complete.

#### Audio Overviews (Podcasts)

```bash
notebooklm generate audio "Focus on practical applications" \
  --format deep-dive \    # deep-dive | brief | critique | debate
  --length long \         # short | default | long
  --wait
```

#### Video Overviews

```bash
notebooklm generate video "Explain the architecture" \
  --format explainer \    # explainer | brief
  --style whiteboard \    # auto | classic | whiteboard | kawaii | anime | watercolor | retro-print | heritage | paper-craft
  --wait
```

#### Slide Decks

```bash
notebooklm generate slide-deck "Executive summary" \
  --format detailed \     # detailed | presenter
  --length default \      # default | short
  --wait

# Revise a specific slide
notebooklm generate revise-slide "Add more data points" \
  -a <artifact_id> --slide 2 --wait    # slide is zero-based
```

#### Study Materials

```bash
# Quizzes
notebooklm generate quiz --difficulty hard --quantity more --wait

# Flashcards
notebooklm generate flashcards --difficulty medium --wait
```

#### Visual & Data

```bash
# Infographic
notebooklm generate infographic \
  --orientation landscape \   # landscape | portrait | square
  --detail detailed \         # concise | standard | detailed
  --wait

# Mind map (synchronous, no --wait needed)
notebooklm generate mind-map

# Data table
notebooklm generate data-table "Compare metrics across studies" --wait
```

#### Reports

```bash
notebooklm generate report "Security analysis" \
  --format briefing-doc \     # briefing-doc | study-guide | blog-post | custom
  --append "Include threat modeling" \
  --wait
```

### 5. Downloading Content

All download commands support: `-a/--artifact`, `--all`, `--latest`, `--earliest`, `--name`, `--force`, `--no-clobber`, `--dry-run`, `--json`.

```bash
notebooklm download audio ./podcast.mp3
notebooklm download video ./overview.mp4
notebooklm download slide-deck ./slides.pptx --format pptx   # or pdf (default)
notebooklm download infographic ./info.png
notebooklm download report ./report.md
notebooklm download mind-map ./map.json
notebooklm download data-table ./data.csv
notebooklm download quiz --format json ./quiz.json       # json | markdown | html
notebooklm download flashcards --format markdown ./cards.md
```

### 6. Sharing

```bash
notebooklm share status
notebooklm share public --enable           # Create public link
notebooklm share view-level full           # full | chat
notebooklm share add [email protected] --permission editor -m "Check this out"
notebooklm share remove [email protected]
```

### 7. Language

```bash
notebooklm language list                   # 80+ languages
notebooklm language get
notebooklm language set ja                 # Set to Japanese
```

## Python API

Fully async API for programmatic workflows:

```python
import asyncio
from notebooklm import NotebookLMClient

async def main():
    async with await NotebookLMClient.from_storage() as client:
        # Create notebook and add sources
        nb = await client.notebooks.create("Research")
        await client.sources.add_url(nb.id, "https://example.com")

        # Generate audio overview
        artifact = await client.artifacts.generate_audio(
            nb.id, description="Deep dive on findings",
            format=AudioFormat.DEEP_DIVE, length=AudioLength.LONG
        )

        # Wait and download
        await client.artifacts.wait(nb.id, artifact.id)
        await client.artifacts.download_audio(nb.id, artifact.id, "output.mp3")

        # Chat with sources
        result = await client.chat.ask(nb.id, "Summarize key points")
        print(result.answer)

asyncio.run(main())
```

**API modules:** `client.notebooks`, `client.sources`, `client.artifacts`, `client.chat`, `client.research`, `client.notes`, `client.settings`, `client.sharing`

## Common Recipes

### Research-to-Podcast Pipeline

```bash
notebooklm create "Climate Research"
notebooklm use <id>
notebooklm source add "https://en.wikipedia.org/wiki/Climate_change"
notebooklm source add-research "climate change solutions 2025" --mode deep --import-all
notebooklm generate audio "Focus on actionable solutions" --format debate --length long --wait
notebooklm download audio ./climate-debate.mp3
```

### Document Analysis to Study Materials

```bash
notebooklm create "Exam Prep"
notebooklm use <id>
notebooklm source add ./textbook.pdf
notebooklm generate quiz --difficulty hard --quantity more --wait
notebooklm generate flashcards --wait
notebooklm download quiz --format markdown ./quiz.md
notebooklm download flashcards --format json ./cards.json
```

### Batch Import + Full Report

```bash
notebooklm create "Literature Review"
notebooklm use <id>
for f in ./papers/*.pdf; do notebooklm source add "$f"; done
notebooklm generate report "Systematic review" --format briefing-doc --wait
notebooklm download report ./review.md
```

## Troubleshooting

| Issue | Fix |
|-------|-----|
| Auth expir