Developer Tools

User Agent Parser Examples

Review practical User Agent Parser examples so you can understand expected input, output, and common patterns faster.

Why examples matter for User Agent Parser

Use this user agent parser to identify browser, version, rendering engine, operating system, device type, and basic bot signals from a raw user agent string. It is useful for debugging analytics, logs, request headers, and tracking data.

Example pages are especially useful for developer tools because they show what good input looks like, what kind of output to expect, and how the tool behaves in common scenarios.

User Agent Parser examples

User Agent Parser example 1

Input

Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 Chrome/122.0.0.0 Safari/537.36

Output

Browser, OS, engine, and device summary

Parses a common desktop browser user agent into readable components.

How to use these examples

Paste the user agent string into the input box.
Run the tool to parse the details.
Review the detected browser, OS, engine, and device information.
Copy the result if needed for notes, support, or debugging.

Compare your own input with the User Agent Parser examples below before running the tool.
Keep the input format as close as possible to the example pattern when you test a new case.
If your output looks wrong, check spacing, separators, symbols, or the exact value type first.

Common mistakes in sample input

The user agent string is incomplete or truncated.

Fix: Paste the full raw user agent string before parsing.

A highly unusual custom UA is only partly identified.

Fix: Treat the output as approximate when the source string is nonstandard.

The user expects IP or network information from a UA string.

Fix: Remember that a user agent string describes client software and device context, not network identity.

Next steps

After reviewing these examples, run the live tool with your own input. If your task involves a follow-up step, the related page can help you move to the next tool in the workflow.

Run the main tool

Open the main User Agent Parser page and test your own real input.

Open User Agent Parser