GitHub Repository Scraper — Stars, Forks, Languages & More

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Scrape GitHub repository metadata at scale using the official REST API v3. Get structured data on stars, forks, languages, topics, contributors, releases, and more — ready for lead generation, market research, and competitive analysis.

What it does

• Scrape specific repos — provide a list of owner/repo strings
• Search GitHub — use any GitHub search syntax to discover repos
• Enrich with extras — optionally fetch top contributors and latest releases
• Handle rate limits — automatic back-off with X-RateLimit headers; optional token support for 5,000 req/hr

Output fields

Input examples

Scrape specific repositories

{
"repos":["apify/crawlee","microsoft/playwright","facebook/react"]
}

Search for Python web scraping tools

{
"searchQuery":"web scraping language:python stars:>100",
"maxRepos":50
}

Full enrichment with auth

{
"repos":["vercel/next.js"],
"searchQuery":"framework language:typescript stars:>5000",
"maxRepos":100,
"includeContributors":true,
"includeReleases":true,
"githubToken":"ghp_xxxxxxxxxxxx"
}

Rate limits

Tip: Create a free personal access token (no scopes needed for public repos) to unlock 5,000 requests/hour.

Pricing

$0.002 per repository scraped (pay per event).

Cost comparison

You pay for data, not infrastructure. No servers to maintain, no code to write, no rate limits to handle.

Use cases

• Lead generation — Find companies using specific technologies, contact repo owners
• Competitive analysis — Track competitor open-source projects, compare stars/forks growth
• Technology research — Discover trending tools in any language or domain
• Talent sourcing — Identify top contributors to relevant projects
• Investment research — Gauge open-source traction for developer tools companies
• Academic research — Collect repository metadata for software engineering studies
• Dependency auditing — Assess health (activity, issues, releases) of your dependencies

Technical details

• Uses GitHub REST API v3 (api.github.com)
• Automatic rate-limit detection and back-off via X-RateLimit-* headers
• No browser or proxy needed — pure API calls
• Async execution with httpx for fast throughput
• Outputs clean, structured JSON to the Apify dataset

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🔗 Quick Integration

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("joyouscam35875/github-repo-scraper").call(run_input={...})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Node.js

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_API_TOKEN'});
const run =await client.actor('joyouscam35875/github-repo-scraper').call({...});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();

No-code: Make / Zapier / n8n

Search for this actor in the Apify connector. No code needed.