pydoll-antibot-bypasser

Pydoll Antibot Bypasser

Claude Code Plugin for Stealth Browser Automation & WAF Bypass

Installation · Capabilities · Usage · Structure · 中文说明

---

What is this?

A Claude Code Plugin that teaches Claude how to write stealth browser automation scripts using Pydoll — an async-native, zero-WebDriver Chromium automation library specialized in bypassing WAF protections and bot detection systems.

When you ask Claude Code to bypass Cloudflare, scrape a protected website, or automate a browser with anti-detection, this skill activates automatically.

---

Installation

Marketplace Install (Recommended)

This repository is a self-contained plugin marketplace. Add it and install:

# Step 1: Register the marketplace
/plugin marketplace add esonhugh/pydoll-cf-waf-bypasser-skills

# Step 2: Install the plugin
/plugin install pydoll-antibot-bypasser@pydoll-cf-waf-bypasser-skills

Install from GitHub

/plugin install github:Esonhugh/pydoll-cf-waf-bypasser-skills

Manual Install

git clone https://github.com/Esonhugh/pydoll-cf-waf-bypasser-skills.git

# Project-level (current project only)
cp -r pydoll-cf-waf-bypasser-skills/plugins/pydoll-antibot-bypasser/skills/pydoll-antibot-bypasser \
      your-project/.claude/skills/

# Or global (all projects)
cp -r pydoll-cf-waf-bypasser-skills/plugins/pydoll-antibot-bypasser/skills/pydoll-antibot-bypasser \
      ~/.claude/skills/

Team Configuration

Add to your project's .claude/settings.json so team members are auto-prompted to install:

{
  "extraKnownMarketplaces": {
    "pydoll-cf-waf-bypasser-skills": {
      "source": {
        "source": "github",
        "repo": "Esonhugh/pydoll-cf-waf-bypasser-skills"
      }
    }
  },
  "enabledPlugins": {
    "pydoll-antibot-bypasser@pydoll-cf-waf-bypasser-skills": true
  }
}

---

Capabilities

Capability	Description
Cloudflare Turnstile	Auto-detect and solve Turnstile CAPTCHA, works in headless mode
Cloudflare Managed Challenge	Bypass with headless=False + xvfb on servers
Cloudflare JS Challenge	Auto-execute JavaScript challenges
Human-like Interaction	Bezier curve mouse movement, typo simulation, random delays
Shadow DOM Access	Penetrate closed shadow roots for hidden elements
Browser Fingerprint Spoofing	Fake engagement time, WebRTC leak protection, language spoofing
Concurrent Scraping	Async-native, multi-tab parallel execution
Request Interception	Block images/CSS/fonts to accelerate page loading

WAF Support Matrix

WAF Provider	Status	Notes
Cloudflare Turnstile	✅ Full	Works in headless mode
Cloudflare JS Challenge	✅ Full	Auto JS execution
Cloudflare Managed Challenge	✅ Verified	Requires headless=False + xvfb
DataDome	⚠️ Partial	Needs high-quality proxy
PerimeterX	⚠️ Partial	Needs randomized behavior
Akamai Bot Manager	⚠️ Partial	TLS fingerprint sensitive

---

Usage

Once installed, just ask Claude Code in natural language:

> Bypass Cloudflare on https://example.com and get the page title

> Scrape data from a protected website with anti-detection

> Write a stealth scraper with human-like behavior

Claude generates ready-to-run scripts using uv inline script metadata:

uv run script.py   # Auto-installs dependencies and runs

Core Concept

# Zero WebDriver — navigator.webdriver is undefined, not false
async with Chrome(options=options) as browser:
    tab = await browser.start()

    # One-line Cloudflare bypass
    async with tab.expect_and_bypass_cloudflare_captcha():
        await tab.go_to('https://protected-site.com')

    # Human-like typing with typo simulation
    await input_el.type_text('Hello', humanize=True)

    # Human-like mouse movement via Bezier curves
    await tab.mouse.click(500, 300, humanize=True)

Code Templates

8 templates included in scripts/templates.py: