
Notebooklm
Build AI-Powered Notebooks with Full Programmatic Control
4.3(51 reviews)1,000+ downloadsUpdated Oct 2026Verified SafeSecurity VerifiedThis skill was analyzed by our AI security scanner for harmful content including data exfiltration, system manipulation, credential theft, and prompt injection. No threats were detected.
What You Can Do
You can automate the entire NotebookLM workflow programmatically—create notebooks, add diverse sources (URLs, PDFs, YouTube, audio, video, images), generate all artifact types including audio podcasts and interactive study guides, and download results in multiple formats. This skill unlocks capabilities not available in the web UI, making it ideal for batch processing, content pipelines, and research automation at scale.
Features
Create and manage notebooks programmatically with full metadata control
Add multiple source types simultaneously—URLs, PDFs, YouTube videos, audio files, images, and video uploads
Generate all artifact types including podcasts (with audio), study guides, timelines, FAQs, and briefing documents
Chat with notebook content and retrieve structured responses for analysis
Download artifacts in multiple formats (MP3 for audio, PDF, markdown, JSON)
Batch process multiple notebooks and sources without web UI interaction
Access advanced features and parameters not exposed in the standard NotebookLM interface
Handle authentication via browser login or cookie-based session management
Example Output
Example 1: Generate a Podcast
code
✓ Notebook created: "Q4 Earnings Analysis"
✓ Added sources: earnings_report.pdf, investor_call.mp3
✓ Podcast generated: podcast_episode.mp3 (12:34)
✓ Transcript available: podcast_transcript.md
Example 2: Multi-Source Research Guide
code
✓ Notebook: "Climate Policy Deep Dive"
✓ Sources added: 5 research papers, 3 policy documents, 2 YouTube videos
✓ Study guide generated (45 pages)
✓ Timeline created: Policy evolution 1995-2024
✓ Downloaded: study_guide.pdf, timeline.json
Example 3: Batch Processing
code
✓ Processed 10 notebooks in batch mode
✓ Generated 10 podcasts + 10 study guides
✓ All artifacts downloaded and organized
✓ Processing time: 4 minutes
What's Included
- SKILL.md: Complete NotebookLM API integration guide with installation instructions for both PyPI and GitHub
- Python API wrapper: Full programmatic interface for notebook creation, source management, and artifact generation
- Authentication templates: Browser login flow and cookie-based session management examples
- Artifact generation workflows: Step-by-step templates for podcasts, study guides, timelines, FAQs, and briefing documents
- Batch processing checklist: Framework for automating multiple notebooks and downloading results at scale
Who It's For
- Research teams & analysts — Automate research workflows and generate structured insights from multiple sources
- Content creators & educators — Batch-generate study guides, podcasts, and learning materials from diverse content
- Data engineers & ML researchers — Build content processing pipelines that ingest, analyze, and synthesize information programmatically
- Technical product teams — Integrate NotebookLM capabilities into applications and automation workflows
- Academic & corporate researchers — Transform research papers and sources into multiple artifact formats for wider accessibility
Best For
- Automating podcast generation from research papers, transcripts, or source documents
- Batch creating study guides and educational materials from multiple sources
- Building content processing pipelines that ingest PDFs, videos, and URLs
- Generating timelines, FAQs, and briefing documents from complex source material
- Integrating NotebookLM capabilities into custom applications and workflows
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