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Overview

Manually checking GitHub’s trending page daily is tedious and error-prone. This scraper automates fetching and parsing the top trending repositories by language and count, delivering structured data ready for analysis or integration.

The Impact

  • Stop manual browsing. Automatically fetches daily trending repos from GitHub.
  • Extract precise data. Parses repository entries including URLs, descriptions, languages, and authors.
  • Customize results. Control number of repos and filter by programming language.
  • Save time. Replace repetitive manual scraping with instant automated data delivery.

Who This Is For

  • R&D Teams Monitor open-source trends without manual effort.
  • Architects Collect popular tech stack data to guide technology decisions.
  • Product Managers Track competitors’ tech stacks and industry trends efficiently.
  • Developers Stay updated on trending projects in preferred languages.

How It Works

1
  1. Analyze Input
  2. Build the GitHub Trends URL using optional language and page size parameters.
2
  1. Fetch Trending Page
  2. Send HTTP GET request to GitHub trending URL to retrieve raw HTML content.
3
  1. Extract Box Elements
  2. Parse the HTML to isolate div elements with class "Box", which contain trending repos.
4
  1. Extract Repository Entries
  2. Parse each "Box-row" article element to extract individual repository HTML blocks.
5
  1. Parse Repository Data
  2. For each repo entry, extract URL, description, language, and authors by parsing specific HTML tags and classes.

What You'll Need

Before using this template, make sure you have:

  • No special credentials or API keys are required.
  • Internet access to fetch GitHub trending pages.
  • Optional: knowledge of the programming language filter and desired number of repos.

How to Use

  1. Step 1. Configure Parameters

    2. Set the number of trending repositories to fetch (PageSize) and optionally specify the programming language.

  2. Step 2. Trigger Workflow

    3. Manually start the workflow; it will assemble the URL and request the GitHub trending page.

  3. Step 3. Parse Data

    4. The workflow extracts Box elements and repository entries, parsing details like repo URL, description, language, and authors.

  4. Step 4. Review Results

    5. Collected repository data is output as a structured list limited by your configured PageSize.

  5. Step 5. Verify Execution

    6. Check the output for errors and confirm the repository list matches your parameters.

FAQs

Does this scraper require GitHub API credentials?
No credentials are needed; it scrapes the public GitHub Trending web pages directly via HTTP GET requests.
How can I limit the number of repositories fetched?
Use the PageSize parameter to specify how many trending repositories to retrieve; default is 20.
Can I filter trending repositories by programming language?
Yes, set the Language parameter with the desired language code; if left empty, all languages are included.
What data fields are extracted for each repository?
The scraper extracts repository URL, description, primary programming language, and a list of authors involved.
What happens if the GitHub page structure changes?
The scraper relies on HTML classes like "Box" and "Box-row"; structural changes may require updating parsing logic to maintain accuracy.
Updated on: Sep 18, 2026
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