daijro/camoufox

🦊 Anti-detect browser

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Summary Information

Updated 46 minutes ago
Added to GitGenius on September 5th, 2026
Created on July 26th, 2024
Open Issues & Pull Requests: 72 (+0)
GitHub issues: Enabled
Number of forks: 997
Total Stargazers: 11,729 (+2)
Total Subscribers: 61 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.1 days
Mean response time: 48.5 days
90th percentile: 178.8 days
Tracked items: 431

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "detection issue" is answered fastest, typically in about 24 hours, while "cant reproduce" waits about 3 weeks. Only 6% of issues opened in the past year have been closed. Three people close 76% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 60
New in 7 days: 7
Closed in 7 days: 33
Avg open age: 311 days
Stale 30+ days: 40
Stale 90+ days: 20

Recent activity

Opened in 7 days: 7
Closed in 7 days: 31
Comments in 7 days: 11
Events in 7 days: 42

Top labels

  • bug (252)
  • enhancement (73)
  • detection issue (66)
  • question (35)
  • cant reproduce (20)
  • invalid (14)
  • duplicate (12)
  • not planned (12)

Detailed Description

Camoufox is an anti-detect browser built for web scraping and AI agents.

The tool addresses the problem of browser fingerprinting detection by masking identifying characteristics that websites use to block automated access. It works by modifying browser signals and behavior patterns to appear as a legitimate user rather than a bot or scraper. The project is built on Firefox and provides integration with automation frameworks like Playwright, allowing developers to control the browser programmatically while maintaining the anti-detection capabilities.

Camoufox suits developers working on web scraping projects, data collection tasks, or AI agent implementations where websites actively block automated access. It is particularly relevant for those who need to bypass anti-bot detection systems while maintaining ethical scraping practices. The tool is open source, making it accessible for projects that require transparency or customization of anti-detection logic.

The project is under active development and explicitly noted as not yet suitable for stable production use. Development activity shows engagement with the community through sponsorship partnerships and maintained documentation, though the early-stage status means the codebase and APIs may still undergo significant changes.