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User-Agent String Generator

User-agent strings identify your browser and operating system to every website you visit. When building web scrapers, SEO monitoring tools, or automated testing suites, rotating through realistic user-agent strings is one of the simplest ways to reduce detection. This tool generates random user-agent strings based on real browser distributions, so your requests blend in with normal traffic patterns.

Select a browser family, operating system, and device type to generate one or more random user-agent strings. Each generated string reflects real-world browser version distributions — no outdated or obviously synthetic user agents. You can generate up to 50 strings at a time for bulk use.

How it works

  1. 1Select your desired browser, operating system, and device type from the dropdown menus. Choose 'Any' to randomize that dimension.
  2. 2Specify how many user-agent strings to generate (1 to 50).
  3. 3Optionally enter a pattern to exclude — useful for filtering out strings that contain known bot identifiers.
  4. 4Click Generate. The tool samples from a database of real user-agent strings observed in the wild, weighted by actual browser market share data updated monthly.
  5. 5Copy individual strings or download the full set as JSON or plain text for use in your scraping framework, testing suite, or proxy configuration.

Use cases

Web scraping — rotate user agents across requests to avoid fingerprint-based blocking. Pair with proxy rotation for best results.SEO monitoring — check how search engines render your pages for different browsers and devices by sending requests with specific user agents.QA and cross-browser testing — generate user agents for browsers you need to test against without setting up full browser instances.Ad verification — verify that ads are being served correctly across different browser and device combinations.Privacy research — understand how websites tailor content or track users based on user-agent strings.Bot detection testing — test your own anti-bot systems by simulating requests from a variety of realistic user agents.

FAQ

Yes. Every generated string is based on user-agent formats from real browser releases. The version numbers reflect actual released versions, and the distribution is weighted by current browser market share data. We update the database monthly to include new browser releases.

User-agent rotation is a useful starting point but insufficient on its own for sophisticated anti-bot systems. Modern detection looks at dozens of signals including TLS fingerprints, JavaScript execution patterns, mouse movements, and canvas fingerprints. For high-protection sites, you need infrastructure that provides consistent, authentic fingerprints across all these dimensions — not just the user-agent header.

Chrome on Windows remains the most common user-agent combination, accounting for roughly 40% of global web traffic. Chrome on Android is second at approximately 25%. The specific version numbers change with each Chrome release cycle (roughly every 4 weeks).

If the user-agent string does not match the rest of your browser fingerprint, yes. For example, sending a Safari user-agent from a TLS stack that fingerprints as Chrome is a strong detection signal. The user-agent string must be consistent with the underlying connection characteristics. Real-device solutions like Archonum avoid this problem entirely because the user agent matches the actual device.

For most scraping tasks, a pool of 20-50 recent user agents is sufficient. Using too many different user agents from a single IP can actually increase detection risk. The goal is to look like a realistic cross-section of normal users, not to maximize entropy.

User-Agent Rotation Is Just the Beginning

For truly undetectable web access, you need more than header rotation. Archonum provides complete, hardware-backed device fingerprints from real smartphones — user agent, TLS fingerprint, canvas, WebGL, and all other signals match natively.

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