User-Agent Generator & Fingerprint Test
The user-agent generator creates realistic browser user-agent strings for scraping, QA, browser profiles, and automation testing. Developers and anti-detection teams filter by browser, operating system, and device type, then receive fresh strings and fingerprint context that help align request headers with expected traffic patterns.
A user agent generator helps choose a realistic browser header, but it should not be treated as the whole session identity. If the header says modern Chrome on Windows, the rest of the browser profile, fingerprint, and behavior should be consistent with that choice. Use the generated user agent as one part of a test setup, not as the only layer of traffic masking.
Run the result against the exact browser, device, proxy protocol, and target country you plan to use in production. A clean result here is not a ranking promise, but it catches the configuration mistakes that usually create blocked sessions, wrong geo signals, DNS leaks, or inconsistent fingerprints.
For repeat workflows, record the visible IP, ASN, DNS route, latency, and warning state before and after each proxy change. That gives QA, scraping, SEO, ads, and account teams a comparable baseline instead of relying on a single one-off check.
When troubleshooting a blocked session or unexpected platform response, work through the stack in order: confirm the port is reachable, verify the exit IP and ASN, check DNS resolver, inspect request headers, and then compare browser fingerprint and timezone. Skipping layers leads to misdiagnosis — a timeout at the port level looks similar to a cookie checkpoint at the application layer but the fix is completely different.
Mobile proxy workflows behave differently from datacenter ones because CGNAT means multiple physical users share the same outbound IP range. Platforms treat these IPs with higher inherent trust, but that trust can erode if the same session triggers unusual behavior like very high request rates, mismatched timezones, or browser fingerprints that do not match a real mobile device. Use these diagnostic tools to verify the whole configuration, not just the IP.
Generate realistic browser user-agent strings for web scraping, automation, and testing. Check how unique your browser fingerprint is.
User-Agent Generator
Browser
Operating System
Device Type
Your Browser Fingerprint
User-Agents, Fingerprints & Proxy Rotation
What is a user-agent and why it matters for scraping
A user-agent (UA) is a string your browser sends with every HTTP request to identify itself. It tells the server your browser name, version, operating system, and device type. Web scrapers and automation tools that send a default or missing user-agent are immediately flagged as bots. Rotating through realistic, modern user-agents is the first step to blending in with real traffic and avoiding blocks.
How websites detect bots via fingerprinting
Beyond the user-agent header, websites collect dozens of browser attributes to build a unique fingerprint: screen resolution, installed fonts, WebGL renderer, canvas hash, timezone, language, hardware concurrency, and more. Even with a well-matched user-agent, an inconsistent fingerprint (e.g., a Chrome UA on Linux with an iOS screen size) triggers anti-bot systems. Advanced detection services like DataDome, PerimeterX, and Cloudflare cross-reference these signals in real time.
Common user-agent mistakes to avoid
Stale UA strings are the easiest mistake to spot — sending Chrome 90 when current is 125+ immediately signals automation. Equally problematic: using the same UA for every request, mismatching the UA with correlated headers like sec-ch-ua, and letting headless browser signatures (HeadlessChrome) slip through uncleaned. Any one of these gets flagged by anti-bot systems. A solid rotation strategy keeps 50+ current UAs and pairs each with a matching, self-consistent header set.
Why combining UA rotation with mobile proxies works best
A well-matched user-agent string is useless if the IP behind it belongs to a datacenter. Anti-bot systems check IP reputation first. Polish mobile proxies from Proxy Poland run on genuine LTE 4G/5G SIM cards and produce IPs that align with real carrier traffic patterns. Combine that with proper UA rotation and consistent fingerprint management, and you get a much harder target for detection systems on platforms like Google, Meta, Amazon, and TikTok.
Frequently asked questions
User-agents, browser fingerprints, and how they interact with mobile proxies.
What does the user-agent generator do?+
It builds realistic browser user-agent strings for Chrome, Firefox, Safari, and Edge across desktop and mobile. You can copy a single UA or a small set, then pair them with matching headers and a consistent proxy exit before you run scrapers or multi-account sessions.
Why do websites care about the user-agent string?+
The UA is the first identity signal on every HTTP request. Missing, outdated, or generic bot UAs are easy filters. Sites also cross-check the UA against client hints, TLS fingerprints, and IP reputation. A modern, plausible UA is necessary but not sufficient on its own.
Is rotating user-agents enough to avoid bot detection?+
No. Anti-bot systems also look at canvas/WebGL fingerprints, fonts, timezone, language, screen size, behavior, and IP type. A perfect UA on a datacenter IP still fails. Combine current UAs with consistent fingerprints and clean mobile or residential IPs.
What is a browser fingerprint?+
A fingerprint is a stable combination of browser and device attributes: UA, screen resolution, GPU renderer, canvas hash, installed fonts, hardware concurrency, and more. Sites hash these signals to recognize returning browsers even when cookies are cleared.
How often should I rotate user-agents?+
For long-lived accounts, keep one UA per profile for the session lifetime. For high-volume scraping, rotate across a pool of current UAs and keep each UA paired with matching Client Hints and a stable exit IP. Avoid changing UA mid-session on the same account.
Which user-agent mistakes get flagged first?+
Stale versions (e.g. Chrome 90 when the current major is much higher), HeadlessChrome signatures, the same UA on every request, and mismatches with sec-ch-ua or platform headers. Any one of these is a strong automation signal.
Should the user-agent match the proxy country?+
Language and timezone should match the exit region more than the UA brand itself. Chrome on Windows is fine worldwide. What matters is that Accept-Language, timezone, and locale look consistent with the IP's country and the account's history.
Can I use generated user-agents with mobile proxies?+
Yes — and that is usually the strongest setup. Use a mobile or tablet UA when the exit IP is a real carrier IP, and a desktop UA when the session is desktop-shaped. Proxy Poland mobile 4G/5G exits pair well with consistent mobile fingerprint profiles.
Does this tool change my real browser fingerprint?+
No. The generator only produces strings and helps you inspect signals. It does not rewrite your live browser. To change the real fingerprint you need profile isolation (separate browsers/profiles), automation frameworks with spoofing controls, or managed anti-detect setups.
How many user-agents should I keep in a pool?+
For most scrapers, 20–100 current UAs is enough if each is unique, recent, and used with consistent headers. Larger pools help only when volume is high and you rotate exit IPs. Quality and consistency beat a huge list of outdated strings.
Is generating user-agents legal?+
Yes. Setting a User-Agent header is normal client configuration used by browsers, APIs, and test tools every day. What you do with traffic still has to respect target terms of service, local law, and rate limits.
What should I verify after picking a user-agent?+
Check exit IP and geolocation, DNS leak status, HTTP headers, and whether Client Hints match the UA. Then run a small real request against the target before scaling. If the IP looks like a datacenter or DNS leaks, fix that before blaming the UA.