# notebooklm-py Unofficial Python API and agentic skill for Google NotebookLM, with CLI and agent workflow support. ## Agent Decision Summary - Risk level: elevated - Source confidence: medium - Recommended workflows: Coding agent workflow, Connector or protocol layer, Reusable skill workflow - Permission surface: shell/files, external services - Agent JSON: https://www.openagent.bot/skills/notebooklm-py.agent.json ## Summary notebooklm-py is an open-source unofficial Python API and agentic skill for Google NotebookLM. It provides programmatic access, CLI workflows, and integration positioning for agents such as Claude Code, Codex, and OpenClaw. ## Guide notebooklm-py is an unofficial Python API and agentic skill for Google NotebookLM. ### What it is It provides API and CLI access intended for agent workflows around NotebookLM. ### Why it matters Agents need programmatic research tools, and NotebookLM-style workflows can be valuable when source material matters. ### How it works Start from the repository, run a safe test notebook workflow, and verify compatibility with your agent host before relying on it. ### FAQ - Is notebooklm-py open source? - Yes. The GitHub repository is listed under the MIT license. - Is notebooklm-py official? - No. The project describes itself as an unofficial Python API and agentic skill for Google NotebookLM. ## What It Does It provides API and CLI access intended for agent workflows around NotebookLM. ## How To Evaluate Start from the repository, run a safe test notebook workflow, and verify compatibility with your agent host before relying on it. ## Why It Matters NotebookLM is useful for research workflows, but many agent builders need programmatic access. notebooklm-py packages that access as an API, CLI, and agentic skill surface. ## Best For - Researchers automating NotebookLM workflows - Agent builders connecting NotebookLM to Claude Code, Codex, or OpenClaw - Developers experimenting with NotebookLM APIs and podcast-style outputs ## Not For - Teams that require only official Google-supported APIs - Users who do not want to rely on unofficial integrations ## What It Actually Does - NotebookLM automation: The project exposes NotebookLM workflows through Python and CLI surfaces. - Why it matters: Research agents often need repeatable access to source-grounded notebooks. - Agentic skill positioning: notebooklm-py is described as an agentic skill for Claude Code, Codex, and OpenClaw. - Why it matters: A skill surface helps turn NotebookLM tasks into reusable agent workflows. - Research workflow fit: Topics include NotebookLM API, podcast generator, and research-oriented usage. - Why it matters: NotebookLM is strongest when paired with source-heavy research and synthesis tasks. ## Typical Use Cases - NotebookLM batch workflows: Automate repeated NotebookLM tasks through Python or CLI access. - Agent research skills: Let coding agents trigger NotebookLM-style workflows from a reusable skill. - Source-grounded synthesis: Experiment with source-backed summaries and audio-style research outputs. ## How It Compares - When to choose notebooklm-py: Compare it with nearby skills by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need. ## Fit Matrix - Coding agent workflow: strong. notebooklm-py has multiple signals for coding agent workflow, including matching tags, capabilities, category, or positioning. Required check: Run a small repository change and inspect the diff, tests, and rollback path. - Connector or protocol layer: strong. notebooklm-py has multiple signals for connector or protocol layer, including matching tags, capabilities, category, or positioning. Required check: Connect one low-risk service, then inspect schemas, auth scope, errors, and logs. - Reusable skill workflow: strong. notebooklm-py has multiple signals for reusable skill workflow, including matching tags, capabilities, category, or positioning. Required check: Run one skill end to end and check whether it produces evidence or structured output. - Browser automation: partial. notebooklm-py has at least one signal for browser automation, but should be checked against a real task before adoption. Required check: Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs. - Evaluation and observability: weak. notebooklm-py is not primarily positioned for evaluation and observability in the current metadata. Required check: Add one repeatable test case and confirm results can run again in review or CI. - Local or private AI stack: weak. notebooklm-py is not primarily positioned for local or private ai stack in the current metadata. Required check: Verify hardware requirements, data path, storage, and whether all calls stay in your environment. ## Evidence - verified: notebooklm-py is listed as open source. Source: License metadata: MIT - verified: notebooklm-py has a recorded GitHub repository: teng-lin/notebooklm-py. Source: Resource facts and GitHub source link. - inferred: notebooklm-py supports these recorded deployment modes: cloud. Source: OpenAgent decision signal metadata. - inferred: notebooklm-py is tagged with agent skill, workflow, automation capabilities. Source: OpenAgent capability taxonomy. ## Missing Checks - Dedicated docs link is missing. - Repository freshness has not been recorded. ## Next Actions - Inspect repository: https://github.com/teng-lin/notebooklm-py ## Facts - Category: skills - Resource type: skill - Open source: yes - License: MIT - Last verified: 2026-06-11 - GitHub repo: teng-lin/notebooklm-py - GitHub stars: 16224 ## Capabilities - agent-skill - workflow - automation ## Structured Use Case Tags - developer-workflow ## Getting Started - Open the GitHub repository: https://github.com/teng-lin/notebooklm-py ## Links - GitHub: https://github.com/teng-lin/notebooklm-py ## Structured Outputs - JSON: https://www.openagent.bot/skills/notebooklm-py.json - Markdown: https://www.openagent.bot/skills/notebooklm-py.md - Agent JSON: https://www.openagent.bot/skills/notebooklm-py.agent.json - Canonical: https://www.openagent.bot/skills/notebooklm-py