substack-news

Scrape AI-related articles from Substack search using browser automation. Uses agent-browser to render Substack's JS-dependent search page, extract titles, authors, and summaries, and format them as a numbered digest. Use when: (1) user asks to search Substack for articles or news, (2) user wants recent Substack posts on any topic, (3) user mentions "Substack" + a search term + "articles/posts/news". NOT for: general web search, fetching a single Substack post by URL.

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Install skill "substack-news" with this command: npx skills add goog/substack-search

Substack News

Collect and summarize Substack search results via browser automation.

Workflow

1. Open Substack Search

Run the browser automation script:

python "${SKILL_DIR}/scripts/scrape_substack.py" "SEARCH QUERY" [--range day|week|month]

For environments without Python, fall back to the manual agent-browser commands documented in references/browser-flow.md.

2. Output Format

Return results as a numbered list:

N. **Title**
   — Author · Publication · X min read — *one-line summary if available*

If fewer than 20 results exist on the page, report exactly what is found. No padding.

3. Scroll for More

The script auto-scrolls up to 3 times to capture additional results. Substack typically returns 10-20 posts per 24-hour window.

Notes

  • Substack search is behind JS rendering; web_fetch cannot extract it — browser automation is required.
  • Time range filter: day (default), week, month.
  • Close the browser session after extraction: agent-browser close.

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