Scrape Latest GitHub Trending Repositories

This n8n workflow scrapes GitHub's trending repositories page to fetch the latest popular open-source projects. It sends an HTTP request to the trending page, parses the HTML content, and extracts structured data including repository names, authors, descriptions, programming languages, star counts, and direct links. The output is formatted into a clean JSON array, ready for further use or storage.

Ideal for developers, researchers, and data analysts, this workflow eliminates manual browsing of GitHub's trending section, saving hours of time daily. It provides reliable, automated access to emerging trends in open-source software, enabling quick insights into what's gaining traction across languages like JavaScript, Python, or Rust.

Use cases include daily trend reports for tech newsletters, feeding data into dashboards for project discovery, integrating with notification tools like Slack or email for alerts on specific keywords/stars, or archiving trends in a database for long-term analysis. Customize by targeting language-specific pages, adding filters for stars/forks, or chaining with AI nodes for summarization.

Setup is straightforward: import into n8n, test manually, and schedule via cron. No API keys needed, purely web scraping-based for simplicity and zero cost.