human-browser-use

You can make browser automation look human by applying Bezier mouse trajectories, lognormal typing dynamics, and inertia scrolling to mimic natural interaction patterns. This skill configures those behaviors to bypass basic anti-bot checks.

You automate human-like interactions by applying Bezier curves for pointer paths and lognormal distributions for typing speed, including occasional typos and corrections. This skill applies those dynamics directly to headless browser sessions.

Browser-use works with LLM-driven agents for stealth web scraping by applying stealth fingerprint masking alongside human-like interactions. This skill supports both LLM agents and direct scripting to improve data collection reliability.

You need Python 3.11 or higher to run this human-like browser automation skill for QA testing. A browser-use compatible environment and the skill's internal configuration are also required to enable the stealth behaviors.

Stealth fingerprint masking in browser automation is the process of hiding or altering machine-generated browser characteristics to avoid detection. This skill applies it alongside human-like motion to reduce bot-detection friction.