The Anti-Scraper Ecosystem: A Comprehensive Survey of Open-Source Projects for Browser Stealth and Fingerprint Evasion

A new survey of open-source GitHub projects has identified over 40 tools for browser stealth and fingerprint evasion, spanning source-level patches, JavaScript injection plugins, and protocol-level bypass libraries. The ecosystem evolved through three waves, from simple JavaScript plugins (2018–2020) to source-level browser patches (2020–2023) and now "CDP-minimal" frameworks that bypass WebDriver detection entirely. The findings highlight an escalating arms race between anti-bot detection systems and the open-source community developing countermeasures for web automation and data collection.

This report catalogs and analyzes the complete landscape of open-source GitHub projects that provide anti-scraper detection, browser fingerprint evasion, and stealth web automation capabilities. The ecosystem spans 40+ distinct projects across multiple categories: source-level browser patches C++/Chromium/Firefox , JavaScript injection-based stealth plugins, protocol-level bypass libraries, HTTP client fingerprint spoofers, benchmark/test frameworks, AI-agent browser automation tools, and commercial anti-detect browsers with open-source SDKs. The field has evolved through three distinct waves. The first wave 2018–2020 was dominated by JavaScript-injection plugins like puppeteer-extra-plugin-stealth — simple but increasingly detectable as detection systems improved. The second wave 2020–2023 introduced source-level browser patches, including undetected-chromedriver , Camoufox Firefox C++ patches , and the rebrowser patch ecosystem. The third wave 2023–present has seen the rise of “CDP-minimal” frameworks like nodriver and selenium-driverless that bypass WebDriver entirely, direct-communication approaches, and AI-agent-integrated stealth browsers.