GitHub Trending Developers Scraper

What does GitHub Trending Developers Scraper do?

GitHub Trending Developers Scraper extracts GitHub's daily, weekly, or monthly trending developers list — including rank, username, name, and their trending repository — filterable by programming language. It's built for talent scouts, DevRel teams, and tech trend analysts who want to track rising developer talent without manually checking GitHub's Trending page every day. Unlike manual browsing or screen-scraping the HTML page yourself, this Actor returns clean, structured, ready-to-use JSON on a schedule, filtered to the exact language and time window you care about.

Why scrape GitHub trending developers? (Business Use Cases)

• Developer Recruiting & Talent Scouting — Surface rising, high-signal developers early — before they're flooded with recruiter outreach — by monitoring daily and weekly trending lists.
• Technology Trend Intelligence — Track which languages and ecosystems are producing the most buzzworthy developer activity to inform product, hiring, or investment strategy.
• Influencer & DevRel Outreach — Identify trending developers as candidates for conference speaking, sponsorships, open-source grants, or community partnerships.
• Competitive Ecosystem Monitoring — Watch which developers are gaining traction in a competitor's core language or framework to gauge ecosystem momentum.

Key Features

• Filter results by programming language slug (e.g. python, go), or leave empty for all languages
• Choose the trending window: daily, weekly, or monthly
• Returns each developer's rank, profile link, and their currently popular/trending repository
• Structured JSON output ready for CSV, Excel, or dashboard import
• Lightweight, low compute-unit run — ideal for scheduled daily monitoring
• No GitHub authentication or personal access token required

Input Parameters

Parameter	Type	Required	Default	Description
language	String	No	"" (empty)	Language slug to filter by (e.g. python, go); empty returns all languages
since	String	No	"daily"	Trending window: daily (Today), weekly (This week), or monthly (This month)

Valid input sample:

{
  "language": "python",
  "since": "daily"
}

Output Data Structure

Each output item represents one trending developer, including their rank, profile identity, and the repository driving their trending status.

{
  "rank": 1,
  "username": "jtenniswood",
  "name": "James Tenniswood",
  "avatar_url": "https://avatars.githubusercontent.com/u/10881541?s=96&v=4",
  "html_url": "https://github.com/jtenniswood",
  "popular_repo": "jtenniswood/espcontrol",
  "popular_repo_url": "https://github.com/jtenniswood/espcontrol",
  "since": "daily",
  "language_filter": "",
  "scraped_at": "2026-09-15T06:50:16.230534+00:00"
}

How to use GitHub Trending Developers Scraper

1. Configure language (optional) and since to set your trending window.
2. Click "Start" or trigger a run via the Apify API, Python, or JavaScript SDK.
3. Preview the ranked trending developers dataset in the Apify Console.
4. Export to JSON, CSV, or Excel, or schedule recurring runs and route results into Zapier, Webhooks, or Google Drive.

Integrations & Export Options

Results export natively to JSON, CSV, Excel, and XML, with direct compatibility with n8n, Zapier, and Make for no-code automation. Pair this Actor with Apify's built-in scheduler to run it daily and sync fresh trending data into database pipelines (Postgres, BigQuery, Airtable) or trigger webhook alerts when new developers appear at the top of the rankings.

Custom Scrapers & Enterprise Automation Solutions

Need a customized scraping solution, tailored workflow automation, or enterprise data extraction pipeline? Get custom development, maintenance, and setup tailored to your exact infrastructure requirements: 📬 Submit Your Custom Automation Requirements

Frequently Asked Questions (FAQ)

1. Is scraping GitHub trending developers legal and compliant? GitHub's Trending page is publicly accessible without authentication, and scraping publicly displayed rankings is generally acceptable, but always review GitHub's Terms of Service before commercial use.

2. How much does it cost to scrape GitHub trending developers using this Actor? This is a lightweight Actor with a small, fixed-size result set per run, making it one of the lowest-cost options in terms of Apify compute units — ideal for frequent scheduled runs.

3. Do I need proxies or coding skills to run this scraper? No. Simply set the language filter and time window in the Apify Console's input form — no proxies or coding required.

4. How does this compare to the official GitHub API? GitHub does not offer an official API endpoint for the Trending page — it's only available as an HTML page. This Actor is the structured-data alternative, parsing and normalizing that page into clean, automatable JSON.