Categories

User-Agent Parser

Parse and analyze User-Agent strings to extract browser, operating system, device, and engine information

Key Facts

Category
Development
Input Types
text, checkbox
Output Type
html
Sample Coverage
4
API Ready
Yes

Overview

The User-Agent Parser is a specialized utility designed to decode complex User-Agent strings into structured, human-readable data, identifying the specific browser, operating system, device type, and rendering engine used by a client.

When to Use

  • When you need to verify the technical details of a specific browser or device from server logs.
  • When debugging cross-browser compatibility issues by identifying the exact engine and version.
  • When filtering or categorizing incoming web traffic to distinguish between mobile, desktop, and bot activity.

How It Works

  • Paste the raw User-Agent string into the input field.
  • Toggle the 'Detailed Output' option if you require granular technical metadata.
  • Click the parse button to instantly extract and display the device and browser specifications.

Use Cases

Web developers troubleshooting layout issues on specific mobile devices.
System administrators analyzing server access logs to identify traffic sources.
QA engineers verifying that web applications correctly detect user environments.

Examples

1. Debugging Mobile Layout Issues

Frontend Developer
Background
A user reported a broken navigation menu on their mobile device, but the logs only provided a raw User-Agent string.
Problem
Identify the exact device and browser version to replicate the issue in a simulator.
How to Use
Paste the string from the server log into the User-Agent Parser.
Outcome
The tool identified the device as an iPhone 15 running Safari on iOS 17, allowing the developer to test the fix on the correct environment.

2. Bot Traffic Analysis

Security Analyst
Background
The server logs showed a spike in traffic from an unknown source that appeared to be bypassing standard security headers.
Problem
Determine if the traffic is coming from a legitimate browser or a malicious automated script.
How to Use
Input the suspicious User-Agent string and enable 'Detailed Output'.
Outcome
The parser revealed the string lacked a valid rendering engine signature, confirming it was a custom script rather than a standard web browser.

Try with Samples

text

Related Hubs

FAQ

What information does this tool extract?

It extracts the browser name and version, operating system, device type, and the underlying rendering engine.

Can this tool detect bots?

Yes, it identifies common bot and crawler signatures within the User-Agent string.

Is the parsing process performed locally?

Yes, the tool processes the string immediately to provide you with instant results.

What is the 'Detailed Output' option?

Enabling this option provides a more comprehensive breakdown of the string, including specific version numbers and platform architecture.

Does this tool store my User-Agent strings?

No, the tool does not save or log the strings you input for analysis.

API Documentation

Request Endpoint

POST /en/api/tools/user-agent-parser

Request Parameters

Parameter Name Type Required Description
userAgent text Yes -
detailedOutput checkbox No -

Response Format

{
  "result": "
Processed HTML content
", "error": "Error message (optional)", "message": "Notification message (optional)", "metadata": { "key": "value" } }
HTML: HTML

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "mcpServers": {
    "elysiatools-user-agent-parser": {
      "name": "user-agent-parser",
      "description": "Parse and analyze User-Agent strings to extract browser, operating system, device, and engine information",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=user-agent-parser",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]