GitHub Scraper
Extract comprehensive repository data from GitHub including stars, forks, commits, contributors, issues, and pull requests. Our scraping solution handles API rate limits and provides access to repository metadata, code statistics, and community engagement metrics.
Monitor trending repositories, analyze open source project health, and track developer activity with reliable data extraction. Perfect for researchers, recruiters, developer tool companies, and analysts seeking open source intelligence.
- 96.89% success rate (see success rate graph)
- Real-time repository metrics including stars, forks, and watchers
- Commit history and contribution activity tracking across contributors
- Issue and pull request data with status and timeline information
- Language detection and code statistics for repositories
- Topic tagging and license identification for project categorization
Warning: This scraper is available only to enterprise customers. Please contact us for more details.
GitHub Scraper API Use Cases
Technology Trend Analysis
Track programming language adoption, framework popularity, and emerging technologies through repository creation and star growth patterns. Identify which technologies are gaining developer mindshare.
Developer Talent Research
Identify skilled developers by analyzing contribution patterns, project quality, and community engagement. Build talent pipelines based on demonstrated expertise in specific technologies.
Open Source Intelligence
Monitor corporate open source strategies, track project health metrics, and analyze community engagement patterns. Understand how companies and communities build and maintain open source software.
Competitive Technology Research
Track competitor repositories, analyze feature development velocity, and monitor technology stack choices. Stay informed about competitive product development and technology decisions.
Extractable GitHub Data Points
Rebrowser GitHub Scraper efficiently connects with GitHub unofficial API interface, allowing users to extract comprehensive data elements from the platform, such as:
- Repository names and descriptions
- Star, fork, and watcher counts
- Commit history and frequency
- Contributor profiles and activity
- Issues and pull requests
- Programming languages used
- Topics and tags
- License information
- README and documentation
GitHub Scraper Success Rate
The graph below contains real data based on our scraping operations. Latest update was 2 hours ago.
Ready-to-use GitHub Dataset Available Now!
Access clean, structured GitHub data instantly without building your own scraping infrastructure.
Millions of GitHub data points ready to download
Daily updates with fresh data
Flexible data delivery via API or CSV/JSON exports
Sample GitHub API Response Schema
| Field | Type | Description | Example |
|---|---|---|---|
repository_name | string | Repository name including owner | facebook/react |
description | string | Repository description | A declarative, efficient, and flexible JavaScript library for building user interfaces. |
stars | number | Number of stars the repository has received | 218450 |
forks | number | Number of times the repository has been forked | 44823 |
watchers | number | Number of users watching the repository | 6542 |
primary_language | string | Primary programming language used | JavaScript |
topics | array | Repository topics and tags | ["react", "javascript", "ui", "frontend"] |
license | string | Repository license type | MIT |
created_at | string | Repository creation date | 2013-05-24T16:15:54Z |
updated_at | string | Last update timestamp | 2024-02-10T08:23:15Z |
open_issues | number | Number of open issues | 1247 |
contributors | number | Number of contributors to the repository | 1589 |
Sample GitHub API Response
Devices Available
Profiles Created
Pages Crawled
Success Rate
GitHub Scraping Challenges Solved
Traditional web scraping methods often fail due to sophisticated anti-bot measures and dynamic content.
Companies waste thousands of dollars on unreliable solutions that break regularly and require constant maintenance.
Rebrowser eliminates these headaches with a robust architecture designed to handle even the most protected websites like GitHub.
Contact Us →IP Blocking & CAPTCHAs
Websites detect and block scraping attempts through IP tracking and CAPTCHA challenges, causing project delays.
Dynamic JavaScript Content
Modern sites load content dynamically with JavaScript, making traditional scraping methods ineffective.
Maintenance Nightmare
Websites change structure frequently, breaking scrapers and requiring constant code updates and debugging.
Scaling Difficulties
Managing high-volume scraping operations requires complex infrastructure and load balancing to avoid detection.
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Start transforming your data operations today
We are a small team, focused on building highly specialized solutions that your business needs today.
We can start working on your project tomorrow and get you sample data within a few days.
No endless calls and emails with sales and managers – you get direct access to our core team who handles everything you need.
Get your sample data within 7 days
We can handle any website
Custom built API for your needs
Frequently Asked Questions
Yes, Rebrowser Web Scraper API excels at extracting data from JavaScript-heavy websites. Our system incorporates full browser rendering capabilities that execute JavaScript code just as a real browser would, ensuring complete content loading. This enables successful data extraction from modern single-page applications, dynamic content loaders, and complex web applications that rely heavily on client-side rendering.
Our mobile proxy network stands out through its use of actual smartphone devices with authentic mobile carrier IPs rather than simulated or datacenter-based solutions. This approach provides genuine mobile user signatures including carrier headers, connection characteristics, and regional authenticity that can't be replicated by conventional proxy services, resulting in significantly higher success rates on sophisticated websites.
Rebrowser offers comprehensive customer support including 24/7 technical assistance, dedicated account managers for enterprise clients, detailed documentation with practical examples, regular implementation workshops, and a specialized solutions engineering team that can help with custom integration challenges and complex extraction scenarios.
Our distributed infrastructure spans multiple global regions with strategic points of presence near major data centers. Combined with our diverse proxy network covering 195+ countries, this architecture ensures consistent performance regardless of target website location. For enterprise clients, we can deploy dedicated extraction nodes in specific regions to further optimize performance.
Rebrowser implements a multi-layered data verification system that includes automated structure validation, content consistency checks, sampling verification, and anomaly detection algorithms. For critical applications, we also offer human-in-the-loop verification options to ensure the highest levels of data accuracy and reliability.
