notebooklm-py 0.1.4

Unofficial Python client for Google NotebookLM API

notebooklm-py

The missing API for Google NotebookLM. Automate research workflows, generate podcasts from your documents, and integrate NotebookLM into AI agents—all from Python or the command line.

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 for debugging tips.

What You Can Build

🤖 AI Agent Tools - Integrate NotebookLM into Claude Code, or other LLM agents. Ships with Claude Code skills 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 research queries, and extract insights programmatically. Build repeatable research pipelines.

🎙️ Content Generation - Generate Audio Overviews (podcasts), videos, quizzes, flashcards, and study guides. Turn your sources into polished content with a single command.

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

Installation

# Basic installation
pip install notebooklm-py

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

See Installation for options or jump to Quick Start.

Quick Start

CLI

# 1. Authenticate (opens browser)
notebooklm login

# 2. Create a notebook
notebooklm create "My Research"
notebooklm use <notebook_id>

# 3. Add sources
notebooklm source add "https://en.wikipedia.org/wiki/Artificial_intelligence"
notebooklm source add "./paper.pdf"

# 4. Chat
notebooklm ask "What are the key themes?"

# 5. Generate a podcast
notebooklm generate audio --wait
notebooklm download audio ./podcast.mp3

Python API

import asyncio
from notebooklm import NotebookLMClient

async def main():
    async with await NotebookLMClient.from_storage() as client:
        # List notebooks
        notebooks = await client.notebooks.list()

        # Create notebook and add source
        nb = await client.notebooks.create("Research")
        await client.sources.add_url(nb.id, "https://example.com")

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

        # Generate podcast
        status = await client.artifacts.generate_audio(nb.id)
        await client.artifacts.wait_for_completion(nb.id, status.task_id)

asyncio.run(main())

Agent Skills (Claude Code)

# Install the skill
notebooklm skill install

# Then use natural language in Claude Code:
# "Create a podcast about quantum computing"
# "Summarize these URLs into a notebook"
# "/notebooklm generate video"

Features

Category	Capabilities
Notebooks	Create, list, rename, delete, share
Sources	URLs, YouTube, files (PDF/TXT/MD/DOCX), Google Drive, pasted text
Chat	Questions, conversation history, custom personas
Generation	Audio podcasts, video, slides, quizzes, flashcards, reports, infographics, mind maps
Research	Web and Drive research agents with auto-import
Downloads	Audio, video, slides, infographics
Agent Skills	Claude Code skill for LLM-driven automation

Documentation

• Getting Started - Installation and first workflow
• CLI Reference - Complete command documentation
• Python API - Full API reference
• Configuration - Storage and settings
• Troubleshooting - Common issues and solutions
• API Stability - Versioning policy and stability guarantees

For Contributors

• Architecture - Code structure
• Testing - Running and writing tests
• RPC Capture - Protocol reference and capture guides
• Debugging - Network capture guide
• Changelog - Version history and release notes
• Security - 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 for details.