notebooklm

To query NotebookLM documents, you use browser automation via Python scripts to retrieve source-grounded, citation-backed answers. This approach ensures your responses are reliably anchored to the specific uploaded documents within your managed notebooks.

You manage NotebookLM notebooks by running a dedicated script to add notebook URLs with metadata like names, descriptions, and topics. This library management script handles the activation state and metadata for each document source locally.

Persistent authentication works by securely reusing your browser state across sessions through the patchright dependency. This mechanism streamlines repeated interactions with your NotebookLM notebooks and significantly reduces repeated login prompts.

Yes, browser automation allows you to extract citations from uploaded research documents in NotebookLM. The scripts interact directly with the interface to ensure replies are strictly grounded in and backed by your source materials.

A limitation of using patchright for NotebookLM queries is its strict dependency on a local Python environment and active browser sessions. If the browser state expires or local dependencies are missing, the automation scripts cannot retrieve citation-backed answers.