Stealthy Auto Browse FAQs

Question 1

How does Stealthy Auto Browse bypass advanced bot detection?

Accepted Answer

It uses a custom Camoufox (Firefox) build with zero Chrome DevTools Protocol exposure and generates real OS-level mouse/keyboard input via PyAutoGUI. This simulates genuine human interaction, making it indistinguishable to services like Cloudflare and CreepJS.

Question 2

What are the primary ways to control Stealthy Auto Browse?

Accepted Answer

You can control it via a comprehensive JSON HTTP API, pipe multi-step YAML scripts directly, or integrate AI agents using the dedicated MCP (Model Context Protocol) server.

Question 3

What is the difference between 'System input' and 'Playwright input'?

Accepted Answer

'System input' utilizes PyAutoGUI for real OS-level mouse and keyboard events, making it undetectable. 'Playwright input' uses CSS selectors and DOM event injection, which is easier but potentially detectable by behavioral analysis.

Question 4

Can I scale Stealthy Auto Browse for large-scale operations?

Accepted Answer

Yes, it supports a scalable cluster mode. You can run multiple browser instances behind HAProxy, complete with request queuing, sticky sessions, and Redis-based cookie synchronization for efficient, distributed automation.

Question 5

What are 'Page Loaders' and how do they work?

Accepted Answer

Page Loaders are YAML-defined action sequences that automatically execute when the browser navigates to a URL matching a predefined pattern. They're ideal for automating tasks like dismissing cookie popups, bypassing paywalls, or preparing pages.

Stealthy Auto Browse

Stealthy Auto Browse

주요 기능

사용 사례

주요 기능

사용 사례