The notebooklm-py is an unofficial Python API designed for integration with Google NotebookLM. It enables developers to use NotebookLM's capabilities in their Python applications, enhancing productivity and efficiency in managing notebooks.
claude install teng-lin/notebooklm-pyhttps://github.com/teng-lin/notebooklm-py
["1. Install the notebooklm-py package using pip: `pip install notebooklm-py`.","2. Import the notebooklm module in your Python script and initialize the client with your API key.","3. Define functions to perform specific tasks such as creating notebooks, adding pages, or retrieving notebook data.","4. Use try-except blocks to handle potential errors during API calls.","5. Test your integration thoroughly to ensure it meets your application's requirements."]
Integrate NotebookLM functionalities into Python applications for enhanced productivity.
Automate the management of research notebooks, including bulk imports and content generation.
Generate diverse content types such as podcasts, videos, and quizzes programmatically.
Create custom tools that leverage NotebookLM features for specific business needs.
claude install teng-lin/notebooklm-pygit clone https://github.com/teng-lin/notebooklm-pyCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Integrate Google NotebookLM into my Python application using notebooklm-py. I need to [SPECIFIC TASK], such as [DETAILS]. Provide a code snippet that demonstrates how to [ACHIEVE GOAL] using this API. Ensure the code is compatible with Python [VERSION] and includes error handling for [POTENTIAL ISSUES].
To integrate Google NotebookLM into your Python application using notebooklm-py, you can use the following code snippet:
```python
import notebooklm
# Initialize the NotebookLM client
client = notebooklm.Client(api_key='your_api_key_here')
# Create a new notebook
def create_notebook(title, content):
try:
notebook = client.create_notebook(title=title)
page = client.add_page(notebook_id=notebook['id'], title='Introduction', content=content)
return notebook, page
except Exception as e:
print(f"An error occurred: {e}")
return None, None
# Example usage
notebook, page = create_notebook(
title='Project Planning',
content='This notebook is for planning our new project.'
)
if notebook and page:
print(f"Notebook created: {notebook['title']}")
print(f"Page added: {page['title']}")
```
This code initializes the NotebookLM client, creates a new notebook, and adds a page to it. It includes error handling to manage potential issues during the API calls. Ensure you replace 'your_api_key_here' with your actual API key.Streamline talent acquisition with collaborative tools and customizable interview processes.
Control SaaS spending with visibility and analytics
Orchestrate workloads with multi-cloud support, job scheduling, and integrated service discovery features.
Design, document, and generate code for APIs with interactive tools for developers.
CI/CD automation with build configuration as code
Enhance performance monitoring and root cause analysis with real-time distributed tracing.
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan