Brief

Scrapes recent article metadata (titles, authors, summaries) from Medium tag archives to automate trend research and content curation.

What does Automated Industry Trend Scraper & Outline Creator do?

This template automatically visits specific Medium tag archive pages (e.g., for "Artificial Intelligence" or "Marketing") to gather data on the latest published stories.

It captures the raw feed of new articles, which allows downstream automation tools (like n8n and AI agents) to filter out spam, categorize stories, and generate high-quality industry trend reports without manual research.

What data can you scrape from Medium ?

Platform: Medium

Data Points:

Article Title
Author Name
Article Summary / Snippet
Article URL
Publication Date (if available on the archive view)

How to use Automated Industry Trend Scraper & Outline Creator ?

This template is designed to be triggered via the BrowserAct API, specifically within the "Create curated industry trend reports" n8n workflow. 2. Provide Input: You must pass the specific Medium tag URL you wish to track. 3. Output: The template returns a JSON array containing the list of recent articles found on that tag page. 4. Next Steps: This data is typically passed to an AI agent (like Claude or ChatGPT) to analyze relevance and remove duplicates before generating a final report.

Why scrape Medium ?

Medium is a primary source for thought leadership, engineering blogs, and emerging industry trends. Scraping this data allows you to:
Monitor Trends: Track specific keywords to see what experts are discussing in real-time.
Filter Noise: Automate the reading process to separate high-quality insights from clickbait.
Curate Content: Quickly build digests for newsletters or internal team updates.

This template is a dependency for the n8n workflow: "Create curated industry trend reports from Medium to Google Docs." Ensure this template is saved in your BrowserAct account before running the n8n automation.

150-175credits per task (estimated)