If you've searched for "NotebookLM API," here's the short answer: there is no public consumer API for NotebookLM. Google offers an enterprise-only API, the community has built open-source tools, and there's a Chrome extension that covers most use cases. Let's break down every option.
The official situation
Google's position on a NotebookLM API has two sides: an enterprise offering that already exists, and a consumer API that's been promised but hasn't materialized yet.
NotebookLM Enterprise API
Google does offer a NotebookLM API, but it's exclusively for enterprise customers. To access it, you need:
- A Google Cloud project
- A Gemini Enterprise or Gemini Education Premium add-on license
- Admin-level setup through the Google Cloud console
The enterprise API supports notebook CRUD operations, source management, audio overview generation, and notebook queries. It also includes enterprise-grade features like VPC Service Controls and Customer-Managed Encryption Keys (CMEK).
This isn't a developer API you can sign up for. It's an organizational tool for companies that need programmatic access at scale with compliance requirements.
What about a consumer API?
The official @NotebookLM account on X has acknowledged the demand multiple times, confirming a consumer API is in the works:
But so far, no beta, no waitlist, no timeline. If and when it launches, we'll update this article.
Open-source tools for developers
The developer community hasn't waited around. Two notable open-source projects provide programmatic automation for NotebookLM.
notebooklm-py
notebooklm-py is a Python SDK and CLI for NotebookLM automation. With 5.6k+ GitHub stars, it's the most popular community tool.
What it does:
- Create and manage notebooks programmatically
- Add sources (web URLs, text, YouTube videos)
- Generate audio overviews and video content
- Export notebook content
- Full CLI for terminal workflows
How it works: It uses cookie-based authentication from your browser session. You log into NotebookLM in your browser, extract your cookies, and pass them to the tool.
When it's useful: If you need to create notebooks or add sources in bulk as part of an automated pipeline, notebooklm-py is ideal. For example, you could write a script that monitors an RSS feed and automatically adds new articles to a notebook, or batch-import hundreds of documents from a folder. It's also great for generating audio overviews at scale, or integrating NotebookLM into a larger data processing workflow where manual browser interactions aren't practical.
notebooklm-mcp-cli
notebooklm-mcp-cli takes a similar approach but packages it as both a CLI and an MCP (Model Context Protocol) server. This means AI assistants like Claude Desktop, Cursor, and Gemini CLI can interact with NotebookLM directly.
What it does:
- Everything notebooklm-py does, plus MCP server integration
- One-click install for Claude Desktop
- Lets AI assistants create notebooks, add sources, and query them as part of agentic workflows
Same approach as notebooklm-py, packaged for the AI assistant ecosystem.
When it's useful: If you already use AI assistants like Claude Desktop or Cursor in your daily workflow, notebooklm-mcp-cli lets them interact with NotebookLM directly. For example, you could ask Claude to research a topic, then create a notebook and populate it with relevant sources, all within a single conversation. It's ideal for developers and power users who want NotebookLM to be part of their agentic AI workflows rather than a standalone tool.
The Chrome extension: Web Clipper for NotebookLM
Not everyone wants to write Python scripts to get content into NotebookLM. If you're a researcher, student, or professional whose work already happens in the browser, Web Clipper for NotebookLM is a Chrome extension designed to speed up that workflow. No technical setup required: you install it and start saving content to your notebooks as you browse.
What you can do with it:
- Save web pages directly to any notebook with one click
- Save YouTube videos: individual videos, entire playlists, or bulk channel imports
- Save PDFs and tweets from their native platforms
- Google Drive auto-sync: automatically keep notebooks updated with Drive content
- Full notebook management from your browser's side panel
- Export NotebookLM artifacts to Excel, Anki, PDF, and more
When it's useful: You're reading an article that would be perfect for your research notebook. Or you're watching a YouTube lecture series you want to study later. Or you need to keep a notebook in sync with a Google Drive folder. Web Clipper fits into the way you already work: browsing, reading, and researching. Instead of switching to a terminal or copying URLs manually into NotebookLM, you save content in one click as you go. It's built for people who want to spend their time on research, not on tooling.
With 10,000+ users and a 4.9 rating on the Chrome Web Store, it's the most widely adopted tool for getting content into NotebookLM.
Which option is right for you?
Here's a quick decision framework:
- Need enterprise compliance and a proper API? → NotebookLM Enterprise through Google Cloud
- Developer wanting full programmatic automation? → notebooklm-py or notebooklm-mcp-cli
- Non-technical user who wants to save content while browsing? → Web Clipper for NotebookLM
Each tool fills a different niche. Developers who want scripting and CI integration will prefer notebooklm-py. Researchers, students, and professionals who want to capture content as part of their everyday browsing will prefer the Web Clipper for NotebookLM Chrome extension.
