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Bot Detection

Bot detection is the process websites use to identify automated traffic from network, browser and behavioral signals, then allow, challenge, limit or block it.

Table of Contents (9 sections)

How bot detection works

A website, CDN or web application firewall evaluates each request or session. It may apply fixed rules, reputation data or a statistical model to assign a risk score. The score can combine activity across an IP, cookie, account and browser rather than judging one request alone.

Bot detection doesn’t always mean blocking automation. Sites may allow known search crawlers and accessibility tools while restricting scrapers, spam bots or automated login attempts.

Signals sites check

  • Network identity: IP reputation, ASN, geolocation, request volume and sudden traffic changes.
  • Client consistency: Whether the User-Agent, operating system and HTTP headers describe a plausible client.
  • Protocol fingerprints: Whether TLS fingerprinting results match the browser claimed in the headers.
  • Browser state: JavaScript results, cookies, storage, automation markers and attributes used for browser fingerprinting.
  • Behavior: Request timing, navigation order, repeated actions and activity that exceeds normal usage patterns.

No single signal proves that a visitor is a bot. Detection systems usually combine several signals and can produce false positives.

What happens when traffic is flagged

The site or its security layer may allow the request but monitor it, present a CAPTCHA, apply rate limiting or deny access. Limited clients often receive HTTP 429, while blocked clients may receive HTTP 403. Some systems return a JavaScript challenge page with a 200 status instead of an error code.

Why proxies don’t solve every signal

A proxy changes the IP address that the website sees. It doesn’t by itself correct inconsistent headers, TLS fingerprints, cookies or request behavior.

Frequent IP rotation can also look inconsistent during a logged-in or multi-step flow. One cookie or account appearing from several locations within minutes may raise risk. A stable session is usually a better fit for related requests, while rotation suits independent pages.

Working with bot detection responsibly

  • Check the site’s terms and robots.txt, and use an official API when required.
  • Keep request rates within published limits and control concurrency.
  • Honor Retry-After after a 429 response instead of retrying immediately.
  • Reuse one cookie jar and session for steps that belong to the same workflow.
  • Pause and review your process when the site presents repeated challenges or access denials.

FAQ

Can a proxy bypass bot detection?

No. A proxy changes your visible IP, but bot detection can still evaluate your browser, headers, cookies, request rate and behavior.

How do I know if a site detected my bot?

Common signs include CAPTCHA pages, HTTP 403 or 429 responses, JavaScript challenges and responses that differ from those shown in a normal browser. Check the status, headers and response body before assuming the proxy failed.

Is bot detection the same as CAPTCHA?

No. Bot detection classifies traffic using multiple signals. A CAPTCHA is one challenge a site may present after it considers a request suspicious.

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