Anti Detect Browser
Launches Chromium instances with real-device fingerprints through standard Playwright APIs, designed for multi-account operations and web automation that needs to avoid detection. Each browser session gets unique Canvas, WebGL, Audio, and 30+ other fingerprint categories pulled from actual devices. Works well for managing multiple social media accounts, rotating scraper identities, or running AI agents that need persistent browser profiles across sessions. The MCP server mode lets Claude and other AI agents control fingerprint browsers directly through tool calls. Solid choice when you need browser automation that doesn't immediately get flagged by anti-bot systems.
- skills.sh installs
- 154.4K
- GitHub stars
- 21
- last updated
- Aug 21, 2026
Install
$ npx -y skills add antibrow/anti-detect-browser-skills --skill anti-detect-browser --agent claude-codeInstalls into .claude/skills of the current project.
Files
Anti-Detect Browser SDK
Launch Chromium instances with real-device fingerprints via standard Playwright APIs. Every profile carries one coherent, real-device identity that is frozen at creation and replayed byte-for-byte on every later launch.
- npm package:
anti-detect-browser(Node >= 18) - PyPI package:
antibrow(Python 3.9 - 3.13) - Dashboard:
https://antibrow.com - REST API base:
https://antibrow.com/api/v1/ - Documentation:
https://antibrow.com/docs
Authorized use only. This is for automating systems you own or are permitted to use: your own accounts, your own site's bot detection and anti-fraud stack, publicly available data, and region-specific views of your own ads and pricing. Do not use it to access systems without authorization, to log into accounts that are not yours, to create fake accounts or engagement, or to work around a platform's enforcement decision. Respect each site's terms,
robots.txtand rate limits, and applicable law - see Acceptable use.
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