What is Bot Detection?
Techniques for identifying automated visitors versus human users on a website.
Bot detection is the process of determining whether a website visitor is a human user or an automated program. Detection methods range from simple (checking user-agent strings) to sophisticated (behavioral analysis, browser fingerprinting, JavaScript challenges).
Common detection signals include: user-agent string analysis, IP reputation checking, TLS fingerprinting, JavaScript environment inspection (navigator.webdriver flag, automation globals), behavioral analysis (mouse movements, scroll patterns, click timing), and challenge-response tests (CAPTCHAs, proof-of-work).
Browser-based AI agents (like Claude Computer Use and OpenAI Operator) have made bot detection significantly harder. These agents use real browsers with standard user-agent strings, making traditional detection methods ineffective. Modern detection requires analyzing multiple signals simultaneously — a technique called fingerprinting.
How Switch Helps
Switch uses multi-signal detection combining UA analysis, automation flags, behavioral patterns, and fingerprinting to identify even the most sophisticated AI browser agents.
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Claude Computer Use
Anthropic
Anthropic's Claude agent that controls a real browser to complete tasks.
OpenAI Operator
OpenAI
OpenAI's browser agent that autonomously performs web tasks for users.
Puppeteer
Google's headless Chrome automation library commonly used for scraping.
Playwright
Microsoft
Microsoft's browser automation framework for testing and scraping.