Scrape Today's Github Trend 13 Top Repositories

For GitHub, this automated workflow scrapes today's top 13 trending repositories, extracting key details like title, author, language, and description. It simplifies data collection, enabling users to quickly access and analyze popular projects, enhancing decision-making and trend awareness.

7/8/2025
7 nodes
Simple
manualsimplesplitoutapiintegration
Categories:
Manual TriggeredSimple Workflow
Integrations:
SplitOut

Target Audience

  • Developers: Who want to track trending repositories on GitHub.
    - Data Analysts: Seeking to analyze trends in open-source projects.
    - Project Managers: Interested in discovering popular tools and libraries for their teams.
    - Tech Enthusiasts: Eager to stay updated with the latest trends in software development.

    • Problem Solved

    This workflow automates the process of scraping today's trending repositories on GitHub. It eliminates the need for manual data collection, saving time and ensuring that users have access to the most recent and relevant information from the GitHub trends page.

    Workflow Steps

  • Step 1: The workflow is manually triggered by clicking ‘Test workflow’.
    - Step 2: An HTTP request is sent to the GitHub trending page to retrieve the HTML content.
    - Step 3: The relevant section of the page is extracted, specifically the repositories box.
    - Step 4: All individual repositories are extracted from the box, including their title, author, description, and programming language.
    - Step 5: The extracted data is transformed into a list format for easier processing.
    - Step 6: Result variables are set, including the repository URL, creation date, and other relevant information.
    - Step 7: The workflow completes, providing a structured output of the trending repositories.

    • Customization Guide

  • Modify the URL: Users can change the URL in the Request to Github Trend node to scrape different pages or sections of GitHub.
    - Adjust CSS Selectors: Users can update the CSS selectors in the extraction nodes to target specific elements they are interested in.
    - Add Additional Data Points: Users can include more fields in the Set Result Variables node to capture additional information about each repository.
    - Schedule the Workflow: Users can schedule this workflow to run automatically at specific times, ensuring they always have the latest data without manual intervention.