notebooklm-py 0.3.2
Unofficial Python library for automating Google NotebookLM
License: MIT
Requires Python: >=3.10
Keywords: ai, api, automation, client, google, notebooklm, rpc

# notebooklm-py
<p align="left">
  <img src="https://raw.githubusercontent.com/teng-lin/notebooklm-py/main/notebooklm-py.png" alt="notebooklm-py logo" width="128">
</p>

**Comprehensive Python API for Google NotebookLM.** Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—from Python or the command line.

[![PyPI version](https://img.shields.io/pypi/v/notebooklm-py.svg)](https://pypi.org/project/notebooklm-py/)
[![Python Version](https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12%20%7C%203.13%20%7C%203.14-blue)](https://pypi.org/project/notebooklm-py/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Tests](https://github.com/teng-lin/notebooklm-py/actions/workflows/test.yml/badge.svg)](https://github.com/teng-lin/notebooklm-py/actions/workflows/test.yml)

**Source & Development**: <https://github.com/teng-lin/notebooklm-py>

> **⚠️ Unofficial Library - Use at Your Own Risk**
>
> This library uses **undocumented Google APIs** that can change without notice.
>
> - **Not affiliated with Google** - This is a community project
> - **APIs may break** - Google can change internal endpoints anytime
> - **Rate limits apply** - Heavy usage may be throttled
>
> Best for prototypes, research, and personal projects. See [Troubleshooting](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/docs/troubleshooting.md) for debugging tips.

## What You Can Build

🤖 **AI Agent Tools** - Integrate NotebookLM into Claude Code or other LLM agents. Ships with [Claude Code skills](#agent-skills-claude-code) for natural language automation (`notebooklm skill install`), or build your own integrations with the async Python API.

📚 **Research Automation** - Bulk-import sources (URLs, PDFs, YouTube, Google Drive), run web/Drive research queries with auto-import, and extract insights programmatically. Build repeatable research pipelines.

🎙️ **Content Generation** - Generate Audio Overviews (podcasts), videos, slide decks, quizzes, flashcards, infographics, data tables, mind maps, and study guides. Full control over formats, styles, and output.

📥 **Downloads & Export** - Download all generated artifacts locally (MP3, MP4, PDF, PNG, CSV, JSON, Markdown). Export to Google Docs/Sheets. **Features the web UI doesn't offer**: batch downloads, quiz/flashcard export in multiple formats, mind map JSON extraction.

## Three Ways to Use

| Method | Best For |
|--------|----------|
| **Python API** | Application integration, async workflows, custom pipelines |
| **CLI** | Shell scripts, quick tasks, CI/CD automation |
| **Agent Skills** | Claude Code, LLM agents, natural language automation |

## Features

### Complete NotebookLM Coverage

| Category | Capabilities |
|----------|--------------|
| **Notebooks** | Create, list, rename, delete |
| **Sources** | URLs, YouTube, files (PDF, text, Markdown, Word, audio, video, images), Google Drive, pasted text; refresh, get guide/fulltext |
| **Chat** | Questions, conversation history, custom personas |
| **Research** | Web and Drive research agents (fast/deep modes) with auto-import |
| **Sharing** | Public/private links, user permissions (viewer/editor), view level control |

### Content Generation (All NotebookLM Studio Types)

| Type | Options | Download Format |
|------|---------|-----------------|
| **Audio Overview** | 4 formats (deep-dive, brief, critique, debate), 3 lengths, 50+ languages | MP3/MP4 |
| **Video Overview** | 2 formats, 9 visual styles (classic, whiteboard, kawaii, anime, etc.) | MP4 |
| **Slide Deck** | Detailed or presenter format, adjustable length | PDF |
| **Infographic** | 3 orientations, 3 detail levels | PNG |
| **Quiz** | Configurable quantity and difficulty | JSON, Markdown, HTML |
| **Flashcards** | Configurable quantity and difficulty | JSON, Markdown, HTML |
| **Report** | Briefing doc, study guide, blog post, or custom prompt | Markdown |
| **Data Table** | Custom structure via natural language | CSV |
| **Mind Map** | Interactive hierarchical visualization | JSON |

### Beyond the Web UI

These features are available via API/CLI but not exposed in NotebookLM's web interface:

- **Batch downloads** - Download all artifacts of a type at once
- **Quiz/Flashcard export** - Get structured JSON, Markdown, or HTML (web UI only shows interactive view)
- **Mind map data extraction** - Export hierarchical JSON for visualization tools
- **Data table CSV export** - Download structured tables as spreadsheets
- **Source fulltext access** - Retrieve the indexed text content of any source
- **Programmatic sharing** - Manage permissions without the UI

## Installation

```bash
# Basic installation
pip install notebooklm-py

# With browser login support (required for first-time setup)
pip install "notebooklm-py[browser]"
playwright install chromium
```

### Development Installation

For contributors or testing unreleased features:

```bash
pip install git+https://github.com/teng-lin/notebooklm-py@main
```

⚠️ The main branch may contain unstable changes. Use PyPI releases for production.

## Quick Start

<p align="center">
  <a href="https://asciinema.org/a/767284" target="_blank"><img src="https://asciinema.org/a/767284.svg" width="600" /></a>
  <br>
  <em>16-minute session compressed to 30 seconds</em>
</p>

### CLI

```bash
# 1. Authenticate (opens browser)
notebooklm login

# 2. Create a notebook and add sources
notebooklm create "My Research"
notebooklm use <notebook_id>
notebooklm source add "https://en.wikipedia.org/wiki/Artificial_intelligence"
notebooklm source add "./paper.pdf"

# 3. Chat with your sources
notebooklm ask "What are the key themes?"

# 4. Generate content
notebooklm generate audio "make it engaging" --wait
notebooklm generate video --style whiteboard --wait
notebooklm generate quiz --difficulty hard
notebooklm generate flashcards --quantity more
notebooklm generate slide-deck
notebooklm generate infographic --orientation portrait
notebooklm generate mind-map
notebooklm generate data-table "compare key concepts"

# 5. Download artifacts
notebooklm download audio ./podcast.mp3
notebooklm download video ./overview.mp4
notebooklm download quiz --format markdown ./quiz.md
notebooklm download flashcards --format json ./cards.json
notebooklm download slide-deck ./slides.pdf
notebooklm download mind-map ./mindmap.json
notebooklm download data-table ./data.csv
```

### Python API

```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", wait=True)

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

        # Generate content (podcast, video, quiz, etc.)
        status = await client.artifacts.generate_audio(nb.id, instructions="make it fun")
        await client.artifacts.wait_for_completion(nb.id, status.task_id)
        await client.artifacts.download_audio(nb.id, "podcast.mp3")

        # Generate quiz and download as JSON
        status = await client.artifacts.generate_quiz(nb.id)
        await client.artifacts.wait_for_completion(nb.id, status.task_id)
        await client.artifacts.download_quiz(nb.id, "quiz.json", output_format="json")

        # Generate mind map and export
        result = await client.artifacts.generate_mind_map(nb.id)
        await client.artifacts.download_mind_map(nb.id, "mindmap.json")

asyncio.run(main())
```

### Agent Skills (Claude Code)

```bash
# Install via CLI or ask Claude Code to do it
notebooklm skill install

# Then use natural language:
# "Create a podcast about quantum computing"
# "Download the quiz as markdown"
# "/notebooklm generate video"
```

## Documentation

- **[CLI Reference](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/docs/cli-reference.md)** - Complete command documentation
- **[Python API](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/docs/python-api.md)** - Full API reference
- **[Configuration](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/docs/configuration.md)** - Storage and settings
- **[Troubleshooting](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/docs/troubleshooting.md)** - Common issues and solutions
- **[API Stability](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/docs/stability.md)** - Versioning policy and stability guarantees

### For Contributors

- **[Development Guide](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/docs/development.md)** - Architecture, testing, and releasing
- **[RPC Development](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/docs/rpc-development.md)** - Protocol capture and debugging
- **[RPC Reference](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/docs/rpc-reference.md)** - Payload structures
- **[Changelog](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/CHANGELOG.md)** - Version history and release notes
- **[Security](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/SECURITY.md)** - Security policy and credential handling

## Platform Support

| Platform | Status | Notes |
|----------|--------|-------|
| **macOS** | ✅ Tested | Primary development platform |
| **Linux** | ✅ Tested | Fully supported |
| **Windows** | ✅ Tested | Tested in CI |

## License

MIT License. See [LICENSE](https://github.com/teng-lin/notebooklm-py/blob/v0.3.2/LICENSE) for details.