Notebooklm-py
by teng-lin
Python SDK for Google NotebookLM Automation
Programmatically interact with Google NotebookLM through an unofficial Python API to automate research workflows and content generation.
- 1,530+ GitHub stars
- Built with Python
- Programmatic access to Google NotebookLM functionality through Python
- MIT License license
About This Project
This unofficial Python SDK bridges the gap between your applications and Google NotebookLM, enabling developers to programmatically create, manage, and query AI-powered notebooks. By wrapping NotebookLM's capabilities in a clean Python interface, it transforms manual research tasks into automated workflows that can be integrated into existing systems.
Perfect for building research automation pipelines, this library lets you upload documents, generate summaries, ask questions, and extract insights without manual interaction with the NotebookLM web interface. Whether you're processing academic papers, analyzing business documents, or building knowledge management systems, this SDK provides the programmatic control you need.
The library handles authentication, session management, and API interactions behind the scenes, exposing simple Python methods that feel natural to developers. With support for batch processing and integration with other AI tools like Claude, you can create sophisticated document analysis workflows that scale beyond manual capabilities.
While unofficial, the project has gained significant traction with over 1,500 stars, indicating strong community validation and active maintenance. It's particularly valuable for teams looking to incorporate NotebookLM's powerful AI research capabilities into custom applications, ETL pipelines, or automated content generation systems.
Key Features
- Programmatic access to Google NotebookLM functionality through Python
- Document upload and management automation for batch processing
- Query and question-answering capabilities via clean API methods
- Session and authentication handling abstracted from developers
- Integration support with other AI tools and services like Claude
How You Can Use It
Automate research paper analysis and summary generation for academic workflows
Build document intelligence systems that extract insights from large document collections
Create automated content pipelines that generate reports from multiple source documents
Integrate AI-powered research capabilities into existing business applications and dashboards
Who Is This For?
Python developers building automation tools, data engineers creating document processing pipelines, and teams integrating AI research capabilities into applications