Enhance Your Web Analytics with UA-Extract: Simplified User-Agent Parsing for Accurate Device Detection

Are you a developer seeking a robust solution for identifying user devices, browsers, and operating systems? Introducing UA-Extract—an innovative Python library designed to streamline user-agent string parsing while ensuring your device detections stay current. Built with precision and ease-of-use in mind, UA-Extract addresses the common challenge of maintaining up-to-date regex patterns for diverse and evolving device landscapes.

What Is UA-Extract?

UA-Extract is a high-performance Python library crafted for parsing user agent strings with remarkable accuracy. Leveraging the comprehensive database from the popular Matomo Device Detector project, it can identify a wide array of devices—from mainstream smartphones to niche gaming consoles and smart TVs. Its architecture emphasizes effortless updates, allowing developers to refresh regex patterns with a simple command, thereby maintaining detection precision as new browsers and devices emerge.

Key Features and Benefits

1. Seamless Regex Updates:
   Stay ahead of device innovation by effortlessly updating your regex patterns. A single line of Python code or a straightforward command line interface (CLI) command fetches the latest device and browser patterns from the embedded community-maintained database.

2. Fast and Efficient Parsing:
   Optimized for speed, UA-Extract employs in-memory caching and optional modules like regex for rapid processing. For developers needing quick OS and app detection without extensive hardware or bot identification, the SoftwareDetector mode offers a lightweight, rapid alternative.

3. Robust Detection Capabilities:
   Identify device types, operating systems, browser versions, and even secondary client information, making UA-Extract invaluable for analytics, personalization, debugging, and API integrations.

4. Compatibility and Extensibility:
   Designed with Python’s best practices, UA-Extract provides clean, intuitive APIs. It supports additional performance enhancements through optional modules, making it adaptable to both high-traffic production environments and rapid prototyping projects.

How to Get Started

Installation is straightforward via pip:

bash
pip install ua_extract

Sample usage to parse a user agent string:

“`python
from ua_extract import SoftwareDetector

ua_string = ‘Mozilla/5.0 (Linux; Android 6.0; 4Good Light A103 Build/MRA58K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.83 Mobile Safari/537.36’
detector = SoftwareDetector(ua_string)
print(‘Browser:’, detector.client_name())