RIrippeltippel·May 6, 2026Submission
notebooklm-py makes Claude interact with NotebookLM
4 points · Open discussionteng-lin
notebooklm-py
Python2026–2026
teng-lin / notebooklm-py
notebooklm-py
Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to Gemini Notebook's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
2Distinct people
2Mentions
0Explicit recommenders
20.2KGitHub stars
What to know before exploring
What it is
Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to Gemini Notebook's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week2 dated mentions
Observed mentions: 2026-01-12 11:10:49 UTC to 2026-05-06 10:02:43 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Jan 12 | 2026-01-12 00:00:00 UTC | 2026-01-19 00:00:00 UTC | 1 | 1 | 0 |
| Jan 19 | 2026-01-19 00:00:00 UTC | 2026-01-26 00:00:00 UTC | 0 | 0 | 0 |
| Jan 26 | 2026-01-26 00:00:00 UTC | 2026-02-02 00:00:00 UTC | 0 | 0 | 0 |
| Feb 2 | 2026-02-02 00:00:00 UTC | 2026-02-09 00:00:00 UTC | 0 | 0 | 0 |
| Feb 9 | 2026-02-09 00:00:00 UTC | 2026-02-16 00:00:00 UTC | 0 | 0 | 0 |
| Feb 16 | 2026-02-16 00:00:00 UTC | 2026-02-23 00:00:00 UTC | 0 | 0 | 0 |
| Feb 23 | 2026-02-23 00:00:00 UTC | 2026-03-02 00:00:00 UTC | 0 | 0 | 0 |
| Mar 2 | 2026-03-02 00:00:00 UTC | 2026-03-09 00:00:00 UTC | 0 | 0 | 0 |
| Mar 9 | 2026-03-09 00:00:00 UTC | 2026-03-16 00:00:00 UTC | 0 | 0 | 0 |
| Mar 16 | 2026-03-16 00:00:00 UTC | 2026-03-23 00:00:00 UTC | 0 | 0 | 0 |
| Mar 23 | 2026-03-23 00:00:00 UTC | 2026-03-30 00:00:00 UTC | 0 | 0 | 0 |
| Mar 30 | 2026-03-30 00:00:00 UTC | 2026-04-06 00:00:00 UTC | 0 | 0 | 0 |
| Apr 6 | 2026-04-06 00:00:00 UTC | 2026-04-13 00:00:00 UTC | 0 | 0 | 0 |
| Apr 13 | 2026-04-13 00:00:00 UTC | 2026-04-20 00:00:00 UTC | 0 | 0 | 0 |
| Apr 20 | 2026-04-20 00:00:00 UTC | 2026-04-27 00:00:00 UTC | 0 | 0 | 0 |
| Apr 27 | 2026-04-27 00:00:00 UTC | 2026-05-04 00:00:00 UTC | 0 | 0 | 0 |
| May 4 | 2026-05-04 00:00:00 UTC | 2026-05-11 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
2 sourcesShow HN: Notebooklm-Py – Unofficial Python API for Google NotebookLM
Hi HN,
I’ve been using NotebookLM heavily, but the manual "drag-and-drop" workflow was a bottleneck. I wanted to build automated pipelines (like auto-generating podcasts from a folder of PDFs), but the lack of an official API made this impossible.
The Solution: By mapping the internal RPC endpoints used by the web frontend, I built a native Python client that interacts directly with the backend. This bypasses the overhead and brittleness of browser automation tools like Selenium.
Demo:
Watch Claude Code use the CLI to automate a workflow in the terminal: https://asciinema.org/a/767284
What you can do with it:
Deep Research & Content Automation: Automate the entire research loop. You can programmatically create a new notebook, import deep research on specific topics, and then trigger the generation of both an Audio Overview (podcast) and a
Read the rest
Slide Deck, downloading the final assets in one go.
RAG Pipelines: Use NotebookLM as a grounded backend for agents (query a notebook -> get cited answers).
CLI for Humans & LLMs: The package includes a comprehensive CLI designed for both end-users and agents. It even features a command to auto-install itself as a "Skill" for Claude Code, letting you control NotebookLM via natural language in your terminal.
Stability & Testing:
Unofficial APIs are risky. To mitigate silent breakage, I treated this package like a production product. The repo includes a triple-layer test suite (Unit, Integration, and Daily E2E Cron tests). If Google changes their definitions, my CI fails immediately, and we’ll know before users do.
Auth Note:
The library runs on pure Python (ideal for headless servers), but it requires a valid session cookie to start. The CLI makes this easy: just run notebooklm-py login to perform the one-time extraction (it briefly opens a browser via Playwright). Once you have the token, you can deploy it anywhere without a browser.
Repo:
https://github.com/teng-lin/notebooklm-py
Happy to answer questions!