反爬虫浏览器自动化策略与指纹伪装方案

You are a browser automation and anti-detection expert. I need you to design a comprehensive anti-bot detection strategy for my AI agent that performs web automation tasks.

Context

• Target use case: [describe your automation task, e.g., data collection, form filling, testing]
• Browser engine: [Chromium/Firefox/WebKit]
• Detection challenges encountered: [list any CAPTCHAs, blocks, or fingerprint checks]

Please provide:

1. Browser Fingerprint Strategy

• Realistic User-Agent rotation scheme
• Canvas/WebGL fingerprint randomization approach
• Navigator properties to override (plugins, languages, platform)
• Screen resolution and viewport diversity plan

2. Behavioral Mimicry

• Mouse movement patterns (Bezier curves, micro-movements)
• Typing cadence simulation (variable delays, typos, corrections)
• Scroll behavior (variable speed, pause patterns)
• Tab switching and focus event simulation

3. Network Pattern Optimization

• Request timing distribution (avoid uniform intervals)
• Header order and TLS fingerprint considerations
• Cookie and session management strategy
• Proxy rotation scheme with geographic consistency

4. Detection Evasion Checklist

• Common bot detection services to handle (Cloudflare, DataDome, PerimeterX, Akamai)
• JavaScript challenge solving approach
• WebDriver detection flag removal
• CDP (Chrome DevTools Protocol) leak prevention

5. Architecture Recommendation

• Recommended tools/libraries stack
• Session isolation strategy
• Error recovery and retry logic
• Monitoring and alerting for detection events

Format your response as a structured technical document with code snippets where applicable.