Notebooklm

NotebookLM Automation

Complete programmatic access to Google NotebookLM—including capabilities not exposed in the web UI. Create notebooks, add sources (URLs, YouTube, PDFs, audio, video, images), chat with content, generate all artifact types, and download results in multiple formats.

Installation

From PyPI (Recommended):

pip install notebooklm-py

From GitHub (use latest release tag, NOT main branch):

# Get the latest release tag (using curl)
LATEST_TAG=$(curl -s https://api.github.com/repos/teng-lin/notebooklm-py/releases/latest | grep '"tag_name"' | cut -d'"' -f4)
pip install "git+https://github.com/teng-lin/notebooklm-py@${LATEST_TAG}"

⚠️ DO NOT install from main branch (pip install git+https://github.com/teng-lin/notebooklm-py). The main branch may contain unreleased/unstable changes. Always use PyPI or a specific release tag, unless you are testing unreleased features.

Skill install methods:

• notebooklm skill install installs this skill into the supported local agent directories managed by the CLI.
• npx skills add teng-lin/notebooklm-py installs this skill from the GitHub repository into compatible agent skill directories.
• If you are already reading this file inside an agent skill directory, the skill is already installed. You only need the Python package and authentication below.

CLI-managed install:

notebooklm skill install

Prerequisites

IMPORTANT: Before using any command, you MUST authenticate:

notebooklm login          # Opens browser for Google OAuth
notebooklm list           # Verify authentication works

If commands fail with authentication errors, re-run notebooklm login.

CI/CD, Multiple Accounts, and Parallel Agents

For automated environments, multiple accounts, or parallel agent workflows:

| Variable | Purpose | |----------|---------| | NOTEBOOKLM_HOME | Custom config directory (default: ~/.notebooklm) | | NOTEBOOKLM_AUTH_JSON | Inline auth JSON - no file writes needed |

CI/CD setup: Set NOTEBOOKLM_AUTH_JSON from a secret containing your storage_state.json contents.

Multiple accounts: Use different NOTEBOOKLM_HOME directories per account.

Parallel agents: The CLI stores notebook context in a shared file (~/.notebooklm/context.json). Multiple concurrent agents using notebooklm use can overwrite each other's context.

Solutions for parallel workflows:

1. Always use explicit notebook ID (recommended): Pass -n (for wait/download commands) or --notebook (for others) instead of relying on use
2. Per-agent isolation: Set unique NOTEBOOKLM_HOME per agent: export NOTEBOOKLM_HOME=/tmp/agent-$ID
3. Use full UUIDs: Avoid partial IDs in automation (they can become ambiguous)

Agent Setup Verification

Before starting workflows, verify the CLI is ready:

1. notebooklm status → Should show "Authenticated as: email@..."
2. notebooklm list --json → Should return valid JSON (even if empty notebooks list)
3. If either fails → Run notebooklm login

When This Skill Activates

Explicit: User says "/notebooklm", "use notebooklm", or mentions the tool by name

Intent detection: Recognize requests like:

• "Create a podcast about [topic]"
• "Summarize these URLs/documents"
• "Generate a quiz from my research"
• "Turn this into an audio overview"
• "Create flashcards for studying"
• "Generate a video explainer"
• "Make an infographic"
• "Create a mind map of the concepts"
• "Download the quiz as markdown"
• "Add these sources to NotebookLM"

Autonomy Rules

Run automatically (no confirmation):

• notebooklm status - check context
• notebooklm auth check - diagnose auth issues
• notebooklm list - list notebooks
• notebooklm source list - list sources
• notebooklm artifact list - list artifacts
• notebooklm language list - list supported languages
• notebooklm language get - get current language
• notebooklm language set - set language (global setting)
• notebooklm artifact wait - wait for artifact completion (in subagent context)
• notebooklm source wait - wait for source processing (in subagent context)
• notebooklm research status - check research status
• notebooklm research wait - wait for research (in subagent context)
• notebooklm use - set context (⚠️ SINGLE-AGENT ONLY - use -n flag in parallel workflows)
• notebooklm create - create notebook
• notebooklm ask "..." - chat queries (without --save-as-note)
• notebooklm history - display conversation history (read-only)
• notebooklm source add - add sources

Ask before running:

• notebooklm delete - destructive
• notebooklm generate * - long-running, may fail
• notebooklm download * - writes to filesystem
• notebooklm artifact wait - long-running (when in main conversation)
• notebooklm source wait - long-running (when in main conversation)
• notebooklm research wait - long-running (when in main conversation)
• notebooklm ask "..." --save-as-note - writes a note
• notebooklm history --save - writes a note

Quick Reference

| Task | Command | |------|---------| | Authenticate | notebooklm login | | Diagnose auth issues | notebooklm auth check | | Diagnose auth (full) | notebooklm auth check --test | | List notebooks | notebooklm list | | Create notebook | notebooklm create "Title" | | Set context | notebooklm use | | Show context | notebooklm status | | Add URL source | notebooklm source add "https://..." | | Add file | notebooklm source add ./file.pdf | | Add YouTube | notebooklm source add "https://youtube.com/..." | | List sources | notebooklm source list | | Delete source by ID | notebooklm source delete | | Delete source by exact title | notebooklm source delete-by-title "Exact Title" | | Wait for source processing | notebooklm source wait | | Web research (fast) | notebooklm source add-research "query" | | Web research (deep) | notebooklm source add-research "query" --mode deep --no-wait | | Check research status | notebooklm research status | | Wait for research | notebooklm research wait --import-all | | Chat | notebooklm ask "question" | | Chat (specific sources) | notebooklm ask "question" -s src_id1 -s src_id2 | | Chat (with references) | notebooklm ask "question" --json | | Chat (save answer as note) | notebooklm ask "question" --save-as-note | | Chat (save with title) | notebooklm ask "question" --save-as-note --note-title "Title" | | Show conversation history | notebooklm history | | Save all history as note | notebooklm history --save | | Continue specific conversation | notebooklm ask "question" -c | | Save history with title | notebooklm history --save --note-title "My Research" | | Get source fulltext | notebooklm source fulltext | | Get source guide | notebooklm source guide | | Generate podcast | notebooklm generate audio "instructions" | | Generate podcast (JSON) | notebooklm generate audio --json | | Generate podcast (specific sources) | notebooklm generate audio -s src_id1 -s src_id2 | | Generate video | notebooklm generate video "instructions" | | Generate report | notebooklm generate report --format briefing-doc | | Generate report (append instructions) | notebooklm generate report --format study-guide --append "Target audience: beginners" | | Generate quiz | notebooklm generate quiz | | Revise a slide | notebooklm generate revise-slide "prompt" --artifact --slide 0 | | Check artifact status | notebooklm artifact list | | Wait for completion | notebooklm artifact wait | | Download audio | notebooklm download audio ./output.mp3 | | Download video | notebooklm download video ./output.mp4 | | Download slide deck (PDF) | notebooklm download slide-deck ./slides.pdf | | Download slide deck (PPTX) | notebooklm download slide-deck ./slides.pptx --format pptx | | Download report | notebooklm download report ./report.md | | Download mind map | notebooklm download mind-map ./map.json | | Download data table | notebooklm download data-table ./data.csv | | Download quiz | notebooklm download quiz quiz.json | | Download quiz (markdown) | notebooklm download quiz --format markdown quiz.md | | Download flashcards | notebooklm download flashcards cards.json | | Download flashcards (markdown) | notebooklm download flashcards --format markdown cards.md | | Delete notebook | notebooklm notebook delete | | List languages | notebooklm language list | | Get language | notebooklm language get | | Set language | notebooklm language set zh_Hans |

Parallel safety: Use explicit notebook IDs in parallel workflows. Commands supporting -n shorthand: artifact wait, source wait, research wait/status, download *. Download commands also support -a/--artifact. Other commands use --notebook. For chat, use -c to target a specific conversation.

Partial IDs: Use first 6+ characters of UUIDs. Must be unique prefix (fails if ambiguous). Works for ID-based commands such as use, source delete, and wait. For exact source-title deletion, use source delete-by-title "Title". For automation, prefer full UUIDs to avoid ambiguity.

Command Output Formats

Commands with --json return structured data for parsing:

Create notebook:

$ notebooklm create "Research" --json
{"id": "abc123de-...", "title": "Research"}

Add source:

$ notebooklm source add "https://example.com" --json
{"source_id": "def456...", "title": "Example", "status": "processing"}

Generate artifact:

$ notebooklm generate audio "Focus on key points" --json
{"task_id": "xyz789...", "status": "pending"}

Chat with references:

$ notebooklm ask "What is X?" --json
{"answer": "X is... [1] [2]", "conversation_id": "...", "turn_number": 1, "is_follow_up": false, "references": [{"source_id": "abc123...", "citation_number": 1, "cited_text": "Relevant passage from source..."}, {"source_id": "def456...", "citation_number": 2, "cited_text": "Another passage..."}]}

Source fulltext (get indexed content):

$ notebooklm source fulltext  --json
{"source_id": "...", "title": "...", "char_count": 12345, "content": "Full indexed text..."}

Understanding citations: The cited_text in references is often a snippet or section header, not the full quoted passage. The start_char/end_char positions reference NotebookLM's internal chunked index, not the raw fulltext. Use SourceFulltext.find_citation_context() to locate citations:

fulltext = await client.sources.get_fulltext(notebook_id, ref.source_id)
matches = fulltext.find_citation_context(ref.cited_text)  # Returns list[(context, position)]
if matches:
    context, pos = matches[0]  # First match; check len(matches) > 1 for duplicates

Extract IDs: Parse the id, source_id, or task_id field from JSON output.

Generation Types

All generate commands support:

• -s, --source to use specific source(s) instead of all sources
• --language to set output language (defaults to configured language or 'en')
• --json for machine-readable output (returns task_id and status)
• --retry N to automatically retry on rate limits with exponential backoff

| Type | Command | Options | Download | |------|---------|---------|----------| | Podcast | generate audio | --format [deep-dive\|brief\|critique\|debate], --length [short\|default\|long] | .mp3 | | Video | generate video | --format [explainer\|brief], --style [auto\|classic\|whiteboard\|kawaii\|anime\|watercolor\|retro-print\|heritage\|paper-craft] | .mp4 | | Slide Deck | generate slide-deck | --format [detailed\|presenter], --length [default\|short] | .pdf / .pptx | | Slide Revision | generate revise-slide "prompt" --artifact --slide N | --wait, --notebook | (re-downloads parent deck) | | Infographic | generate infographic | --orientation [landscape\|portrait\|square], --detail [concise\|standard\|detailed], --style [auto\|sketch-note\|professional\|bento-grid\|editorial\|instructional\|bricks\|clay\|anime\|kawaii\|scientific] | .png | | Report | generate report | --format [briefing-doc\|study-guide\|blog-post\|custom], --append "extra instructions" | .md | | Mind Map | generate mind-map | (sync, instant) | .json | | Data Table | generate data-table | description required | .csv | | Quiz | generate quiz | --difficulty [easy\|medium\|hard], --quantity [fewer\|standard\|more] | .json/.md/.html | | Flashcards | generate flashcards | --difficulty [easy\|medium\|hard], --quantity [fewer\|standard\|more] | .json/.md/.html |

Features Beyond the Web UI

These capabilities are available via CLI but not in NotebookLM's web interface:

| Feature | Command | Description | |---------|---------|-------------| | Batch downloads | download --all | Download all artifacts of a type at once | | Quiz/Flashcard export | download quiz --format json | Export as JSON, Markdown, or HTML (web UI only shows interactive view) | | Mind map extraction | download mind-map | Export hierarchical JSON for visualization tools | | Data table export | download data-table | Download structured tables as CSV | | Slide deck as PPTX | download slide-deck --format pptx | Download slide deck as editable .pptx (web UI only offers PDF) | | Slide revision | generate revise-slide "prompt" --artifact --slide N | Modify individual slides with a natural-language prompt | | Report template append | generate report --format study-guide --append "..." | Append custom instructions to built-in format templates without losing the format type | | Source fulltext | source fulltext | Retrieve the indexed text content of any source | | Save chat to note | ask "..." --save-as-note / history --save | Save Q&A answers or conversation history as notebook notes | | Programmatic sharing | share commands | Manage sharing permissions without the UI |

Common Workflows

Research to Podcast (Interactive)

Time: 5-10 minutes total

1. notebooklm create "Research: [topic]" — if fails: check auth with notebooklm login
2. notebooklm source add for each URL/document — if one fails: log warning, continue with others
3. Wait for sources: notebooklm source list --json until all status=READY — required before generation
4. notebooklm generate audio "Focus on [specific angle]" (confirm when asked) — if rate limited: wait 5 min, retry once
5. Note the artifact ID returned
6. Check notebooklm artifact list later for status
7. notebooklm download audio ./podcast.mp3 when complete (confirm when asked)

Research to Podcast (Automated with Subagent)

Time: 5-10 minutes, but continues in background

When user wants full automation (generate and download when ready):

1. Create notebook and add sources as usual
2. Wait for sources to be ready (use source wait or check source list --json)
3. Run notebooklm generate audio "..." --json → parse artifact_id from output
4. Spawn a background agent using Task tool:

`` Task( prompt="Wait for artifact {artifact_id} in notebook {notebook_id} to complete, then download. Use: notebooklm artifact wait {artifact_id} -n {notebook_id} --timeout 600 Then: notebooklm download audio ./podcast.mp3 -a {artifact_id} -n {notebook_id}", subagent_type="general-purpose" ) ``

1. Main conversation continues while agent waits

Error handling in subagent:

• If artifact wait returns exit code 2 (timeout): Report timeout, suggest checking artifact list
• If download fails: Check if artifact status is COMPLETED first

Benefits: Non-blocking, user can do other work, automatic download on completion

Document Analysis

Time: 1-2 minutes

1. notebooklm create "Analysis: [project]"
2. notebooklm source add ./doc.pdf (or URLs)
3. `notebooklm ask "Summarize the k

…

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: patriarchal-boothose896
• Source: patriarchal-boothose896/notebooklm-py
• License: MIT

Install and usage instructions live in the source repository linked above.