Most Forked Repos in Machine Learning on GitHub
Ranked by forks rather than stars, which surfaces what people actually build on. Forks, stars, language and last push on each row.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Search query | machine learning stars:>3000 | GitHub search syntax. |
Search type | repositories | What to search for: repositories or users/organizations. |
Sort by | forks | How to sort repository results (applies to repository searches; user searches use GitHub's relevance ranking). |
Max items | 100 | Maximum number of repositories/users to return. |
Pricing
$0.0009 per item = $0.9 per 1,000
| You are charged for | When | Price |
|---|---|---|
| Item returned | Charged per repo or user returned. | $0.0009 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-08-19, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
createdAtdefaultBranchdescriptiondetailsforksfullNamehomepageidlanguagelicenseloginnameopenIssuesownerstarsurlExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for GitHub Scraper
- Try
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Built on GitHub Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- Developer & Research Tools
- Platforms
- GitHub