🚀 GitHub Trending Repositories & Stars Scraper [$1/1K · Fast]

Extract structured, verified data in seconds with yakeddgraph/github-trending-repos-scraper — engineered for zero-cookie execution, 512 MB ultra-light cloud containers, and seamless Model Context Protocol (MCP) & REST API integration.

• 📊 View Live Extracted Sample Dataset Portal (HTML / JSON-LD)
• ⚡ Download 1-Click n8n Automation Workflow JSON
• 🤖 Import OpenAPI 3.1.0 Spec for OpenAI Custom GPTs & LangChain
• 🌐 Explore All 20 YakeddGraph Micro-SaaS Tools

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⚡ Why Choose This Actor? (Top-Tier Comparison)

Feature	YakeddGraph (github-trending-repos-scraper)	Typical Store Competitors
Pricing	$1.00 per 1,000 results ($0.001/item Pay-Per-Event)	$5.00 – $25.00 / 1,000 results + Monthly Rental
Cookies / Login Required?	No Cookies or Login Required	Often requires session cookies
Residential Proxies Needed?	No (Zero Proxy Cost)	Expensive residential proxy burn
Memory Footprint	512 MB Ultra-Light Container (16x concurrent runs on Free tier)	4,096 MB heavy browser instances
AI & MCP Ready	Native Support for Claude Desktop, Cursor & Custom GPTs	Manual integration required

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🤖 Connect to Claude Desktop, Cursor & Windsurf (Apify MCP Server)

Add this Actor as a native tool inside Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "yakeddgraph-github-trending-repos-scraper": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--actors",
        "yakeddgraph/github-trending-repos-scraper"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
      }
    }
  }
}

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🛠️ Input Parameters & Example Payload

Parameter	Type	Description
start_urls	array	GitHub trending feed or repository URLs.

Example Input JSON

{
  "start_urls": [
    {
      "url": "https://github.com/trending"
    }
  ]
}

---

📊 Real Verified Output Dataset Sample

{
  "repo_name": "agent-desktop",
  "author": "vercel-labs",
  "full_repo": "vercel-labs/agent-desktop",
  "description": "Computer use CLI for AI agents",
  "language": "Rust",
  "total_stars": "8,412",
  "stars_today": "2,275 stars today",
  "repo_url": "https://github.com/vercel-labs/agent-desktop",
  "extracted_by": "YakeddGraph Tech Radar"
}

---

🔌 Quickstart API Integration (Python, Node.js & cURL)

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("yakeddgraph/github-trending-repos-scraper").call(run_input={
  "start_urls": [
    {
      "url": "https://github.com/trending"
    }
  ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Direct Synchronous REST API (cURL)

curl -X POST "https://api.apify.com/v2/acts/yakeddgraph~github-trending-repos-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"start_urls": [{"url": "https://github.com/trending"}]}'