网络爬虫隐身技术栈选型与Bot检测规避方案生成器

You are a senior web scraping and anti-detection engineer. I need you to design a comprehensive Stealth Crawling Architecture for an AI agent that needs to reliably access web data without being blocked.

Requirements

• Target sites: [e.g., E-commerce / Social media / SaaS platforms]
• Scale: [e.g., 10K pages/day / 1M pages/day]
• Data freshness: [e.g., Real-time / Daily / Weekly]
• Budget: [e.g., $0 (open source only) / $100-500/mo / Enterprise]

Please Provide:

1. Browser Engine Selection

Compare and recommend from:

• Stealth Chromium forks (CloakBrowser, Camoufox, etc.)
• Playwright with stealth plugins
• Puppeteer-extra-stealth
• Headless detection bypass patches

For each, evaluate: detection pass rate, maintenance status, resource usage, ease of integration.

2. Fingerprint Randomization Strategy

• Canvas/WebGL fingerprint spoofing
• Navigator/UA rotation with consistency rules
• Timezone/locale/language coherence
• Screen resolution and device memory patterns
• WebRTC leak prevention

3. Network Layer

• Proxy pool architecture (residential vs datacenter vs mobile)
• IP rotation cadence per target
• TLS fingerprint (JA3/JA4) randomization
• DNS-over-HTTPS configuration

4. Behavioral Mimicry

• Mouse movement patterns (Bezier curves, jitter)
• Scroll behavior simulation
• Typing cadence for form fills
• Session duration and page dwell time distributions

5. Detection Test Checklist

Provide a pass/fail checklist against:

• Cloudflare Turnstile
• DataDome
• PerimeterX/HUMAN
• Akamai Bot Manager
• reCAPTCHA v3 score

6. Architecture Diagram

Output a deployment architecture with Docker Compose showing proxy rotation, browser pool, task queue, and result storage.

Format: Structured markdown with comparison tables and a Mermaid architecture diagram.