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User Agent Parser

Parse User Agent strings to extract browser, OS, device, and engine information

User Agent Parser

This tool extracts detailed information from User Agent strings:

Extracted Information:

  • Browser: Name, version, and rendering engine
  • Operating System: Name and version
  • Device Type: Desktop, Mobile, Tablet, or Bot
  • Engine: Blink, Gecko, WebKit, Trident, etc.
  • Confidence Level: HIGH, MEDIUM, or LOW

Supported Browsers:

  • Chrome, Edge, Opera, Brave, Vivaldi
  • Firefox, Waterfox, Pale Moon
  • Safari, Mobile Safari
  • Internet Explorer
  • UC Browser, Samsung Internet, Miui Browser

Supported Operating Systems:

  • Windows (95, 98, NT, 2000, XP, Vista, 7, 8, 10, 11)
  • macOS and OS X
  • Linux distributions
  • Android
  • iOS (iPhone, iPad, iPod)

Bot Detection:

  • Googlebot, Bingbot, Slurp, DuckDuckBot
  • Facebook Bot, Twitter Bot, LinkedIn Bot
  • Various web crawlers and spiders

Use Cases:

  • Analytics and usage tracking
  • Device-specific content delivery
  • Bot detection and filtering
  • Browser compatibility checks
  • Security and fraud detection

Key Facts

Category
Development
Input Types
textarea
Output Type
json
Sample Coverage
4
API Ready
Yes

Overview

The User Agent Parser decodes User Agent strings to extract detailed information about the browser, operating system, device type, and rendering engine. It helps developers, analysts, and security professionals understand client environments for web optimization, analytics, and bot detection.

When to Use

  • When analyzing website traffic logs to identify user browsers, operating systems, and devices for analytics.
  • When implementing device-specific content delivery or responsive design based on client capabilities.
  • When filtering out bot traffic from web server logs to ensure accurate user engagement metrics.

How It Works

  • Input the User Agent string into the provided textarea field.
  • The tool parses the string using pattern matching and comprehensive databases for browsers, OS, and bots.
  • It outputs a structured JSON object containing browser name and version, operating system, device type, rendering engine, and a confidence level.

Use Cases

Web analytics to segment traffic by browser, OS, and device for targeted insights and reporting.
Security and fraud detection to identify suspicious clients or block malicious bots based on User Agent analysis.
Development and testing to verify browser compatibility and ensure consistent user experiences across different platforms.

Examples

1. Browser Compatibility Analysis

Web Developer
Background
A developer is optimizing a website and needs to check which browsers and versions are commonly used by visitors.
Problem
Manually parsing User Agent strings from access logs is inefficient and prone to errors.
How to Use
Copy User Agent strings from server logs and paste them into the tool to get detailed browser and OS information.
Outcome
Quickly identify browser distribution, allowing the developer to prioritize testing and fixes for the most used clients.

2. Bot Traffic Identification

Data Analyst
Background
An analytics team is reviewing website traffic data and wants to exclude automated bot visits for accurate metrics.
Problem
Bot traffic inflates page views and skews user engagement statistics.
How to Use
Input suspicious User Agent strings from traffic logs into the parser to detect if they match known bot patterns.
Outcome
Filter out bot traffic, resulting in cleaner data for measuring real user behavior and improving analytics accuracy.

Try with Samples

text

Related Hubs

FAQ

What is a User Agent string?

A User Agent string is a text identifier sent by web browsers and other clients to servers, containing details about the software, device, and capabilities.

What information does this tool extract?

It extracts browser name and version, operating system name and version, device type (desktop, mobile, tablet, or bot), rendering engine, and a confidence level for the parsing accuracy.

How accurate is the parsing?

The tool uses extensive pattern matching and databases to provide high accuracy, with confidence levels (HIGH, MEDIUM, LOW) indicating reliability based on known User Agent patterns.

Can it detect bots and crawlers?

Yes, it identifies common bots like Googlebot, Bingbot, DuckDuckBot, and various web crawlers by analyzing the User Agent string.

Is the tool free and private?

Yes, this tool is free to use and processes data client-side, ensuring your User Agent strings are not stored or shared.

API Documentation

Request Endpoint

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

Request Parameters

Parameter Name Type Required Description
userAgent textarea Yes -

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "mcpServers": {
    "elysiatools-new-user-agent-parser": {
      "name": "new-user-agent-parser",
      "description": "Parse User Agent strings to extract browser, OS, device, and engine information",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=new-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]