This n8n workflow is designed to automatically scrape the top trending repositories from GitHub’s trending page. It starts with a manual trigger, then performs an HTTP request to fetch the trending repositories webpage. The workflow extracts the main container that holds all repositories, then isolates each repository’s details such as the name, description, and programming language. Each repository’s data is then processed to extract specific information including the author, title, URL, and description, which can be stored or used for further automation.
This workflow is ideal for developers, teams, or organizations who want to monitor popular open-source projects without manual effort. It can be integrated into a reporting system, a dashboard, or an alert system that notifies the team about trending repositories or helps in identifying potential projects for contribution or analysis.
Key nodes involve HTML content extraction, list processing, data parsing, and variable assignment, all connected sequentially for streamlined automation. The workflow remains inactive until manually triggered, making it suitable for periodic updates or scheduled runs.
Overall, this automation enhances continuous monitoring of GitHub trending repositories and simplifies gathering insights into emerging open-source trends.
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