Keep Your User-Agent Parsing Up-to-Date with UA-Extract: A Streamlined Python Solution
In the rapidly evolving digital landscape, accurately identifying user devices and browsers is crucial for web developers, analysts, and API providers. Traditionally, keeping user-agent parsers up-to-date with the latest browsers, devices, and operating systems has been a manual, often cumbersome task. Enter UA-Extract, a modern Python library designed to simplify and accelerate user-agent string analysis while ensuring your device detection remains current with minimal effort.
What Is UA-Extract?
UA-Extract is a high-performance Python toolkit aimed at parsing user-agent strings into detailed, meaningful data. Built atop the renowned device_detector database, it boasts a rich, regularly updated repository of regex patterns that recognize a wide range of devices—from mainstream smartphones and desktops to niche gadgets like smart TVs and gaming consoles.
The standout feature of UA-Extract lies in its seamless, one-line regex updates. As new devices and browsers emerge, keeping your user-agent detection accurate is essential. UA-Extract allows you to update its regex patterns effortlessly via simple Python commands or command-line instructions, fetching the freshest data from the community-driven Matomo Device Detector project. This capability means your application stays reliable without manual intervention or complex maintenance routines.
Core Features and Usage
1. Effortless Regex Maintenance
Stay current with the latest devices and browsers. To update regex patterns, simply execute:
python
from ua_extract import Regexes
Regexes().update_regexes()
Or via terminal:
bash
ua_extract update_regexes
These commands automatically retrieve and integrate the latest regexes, ensuring your detection logic remains accurate.
2. Robust User-Agent Parsing
Extract detailed device information—such as operating systems, device models, and client applications—with minimal code:
“`python
from ua_extract import DeviceDetector
user_agent = ‘Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/16D57 EtsyInc/5.22 rv:52200.62.0’
detector = DeviceDetector(user_agent).parse()
print(detector.os_name()) # e.g., iOS
print(detector.device_model()) # e.g., iPhone
print(detector.secondary_client_name()) # e.g., EtsyInc
