Anti-bot detection is a suite of techniques websites use to identify and block automated requests. It combines IP reputation scoring, behavioral analysis (mouse movement, click patterns, timing), browser fingerprinting, JavaScript challenges, and ML-based anomaly detection into a risk score per request.
Enterprise anti-bot systems like Cloudflare Bot Management, Akamai Bot Manager, and DataDome combine dozens of signals to score requests in real time. Bypassing them requires matching the behavioral and technical fingerprint of a real browser — not just spoofing a user agent. The sophistication arms race between scraper tooling and anti-bot vendors drives most of the complexity in modern professional scraping.