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GitHub Repositories Scraper - Stars, Forks & Topics

Scrape GitHub repositories by keyword with stars, forks, language, topics, license, open issues, owner and timestamps. Export to JSON, CSV or Excel.

42 fields per record JSON · CSV · Excel · API Pay per use
github-repositories-scraper.json 200 OK
{
  "id": 529502,
  "fullName": "scrapy/scrapy",
  "name": "scrapy",
  "owner": "scrapy",
  "ownerType": "Organization",
  "ownerUrl": "https://github.com/scrapy",
  "ownerAvatar": "https://avatars.githubusercontent.com/u/733635…",
  "description": "Scrapy, a fast high-level web crawling & scrap…",
  "htmlUrl": "https://github.com/scrapy/scrapy"
}
What you get

Every run returns clean, typed records, ready for your CRM, spreadsheet or database.

  • One clean record per result, deduped and normalized
  • Stable schema in JSON, CSV or Excel, or read it via the Apify API
  • Pay per use in the cloud, nothing to install or maintain
Fields it returns
IdFull NameNameOwnerOwner TypeOwner UrlOwner AvatarDescriptionHtml UrlHomepageStarsForksWatchersOpen Issues
Sample output

A real example record, exactly the shape you receive.

IdFull NameNameOwner
529502scrapy/scrapyscrapyscrapy
1209343409h4ckf0r0day/obscuraobscurah4ckf0r0day
5483330soimort/you-getyou-getsoimort
40621231lorien/awesome-web-scrapingawesome-web-scrapinglorien
9787912lorien/grabgrablorien
GET /github-repositories-scraper
{
  "id": 529502,
  "fullName": "scrapy/scrapy",
  "name": "scrapy",
  "owner": "scrapy",
  "ownerType": "Organization",
  "ownerUrl": "https://github.com/scrapy",
  "ownerAvatar": "https://avatars.githubusercontent.com/u/733635…",
  "description": "Scrapy, a fast high-level web crawling & scrap…",
  "htmlUrl": "https://github.com/scrapy/scrapy"
}

Frequently asked questions

What can I search for?

Any keyword works, and you can also use qualifiers such as `language:python`, `stars:>1000` or `topic:cli` to narrow results.

How many repositories can I get per run?

A single search returns up to 1000 repositories, sorted by relevance.

Which fields are numeric?

Stars, forks, watchers, open issues and size are parsed as numbers so you can sort and filter directly.

How fresh is the data?

Every record is read live at run time, so stars and timestamps reflect the moment of the run (see observedAt).

Ready when you are.

Run the scraper live on Apify right now, or have us build one tailored to exactly what you need.