GitHub Scraper
Extract GitHub repository data including stars, forks, contributor counts, topics, and tech stack details for tech scouting, competitive analysis, and developer research.
Preview the data you'll receive
Name | Stars | Forks | Language | Description | Contributors | |
|---|---|---|---|---|---|---|
| Alex Johnson | 9,099 | 8,904 | TypeScript | Building the future of data extraction. Passion... | 8 | |
| Sam Chen | 42,407 | 49,075 | Python | Building the future of data extraction. Passion... | 121 | |
| Jordan Lee | 15,259 | 16,882 | Go | Building the future of data extraction. Passion... | 417 | |
| Taylor Kim | 42,953 | 44,693 | Rust | Building the future of data extraction. Passion... | 393 | |
| Casey Smith | 29,062 | 31,712 | Java | Building the future of data extraction. Passion... | 486 |
Capture all available data fields automatically
Download as CSV, JSON, or sync to apps
Process hundreds of URLs in one job
Real-time extraction, always up-to-date
99%+ success rate with automatic retries
Programmatic access for developers
How teams use this scraper
Discover trending open-source projects and emerging technologies before they hit mainstream adoption
Track competitor open-source activity, adoption momentum, and community growth
Identify active contributors to relevant projects for targeted developer recruiting
Validate technical credibility of startups by analyzing GitHub activity, contributor quality, and code momentum
Connect your scraped data to your favorite tools
Auto-sync results to spreadsheets
Real-time delivery to any endpoint
Programmatic access for developers
Connect to 1000+ apps
Download in standard formats
Common questions about Repositories
See how different teams put this data to work