Enhance Your Web Projects with UA-Extract: Simplified User-Agent Parsing & Regular Updates

In today’s fast-evolving digital landscape, accurately identifying user devices, browsers, and operating systems is crucial for delivering personalized experiences, optimizing analytics, and troubleshooting issues. If you’re a developer seeking a straightforward yet powerful solution for user-agent parsing, UA-Extract might be the perfect addition to your toolkit.

Introducing UA-Extract: A Modern Python Library for Reliable User-Agent Detection

UA-Extract is a high-performance Python library designed to simplify the process of decoding user-agent strings. Built atop the renowned device_detector framework, it leverages an expansive, actively maintained database of regex patterns to ensure precise identification of a broad spectrum of devices—from smartphones and tablets to smart TVs and gaming consoles.

What Sets UA-Extract Apart?

One of its standout features is the effortless updating of regex patterns. With the rapid introduction of new devices and browsers, static regexes can quickly become outdated, leading to misclassification. UA-Extract addresses this challenge by enabling developers to refresh detection patterns effortlessly—via a single line of code or a simple command-line instruction—fetching the latest regex data directly from the community-driven Matomo Device Detector repository.

Sample code for updating regexes:

python
from ua_extract import Regexes
Regexes().update_regexes()

Alternatively, from the command line:

bash
ua_extract update_regexes

With the latest patterns in place, extracting detailed device information becomes a seamless process:

“`python
from ua_extract import DeviceDetector

user_agent = ‘Mozilla/5.0 (iPhone; CPU iPhone OS 14_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.0 Mobile/15E148 Safari/604.1’
detector = DeviceDetector(user_agent)
device_info = detector.parse()

print(device_info.os_name()) # Output: iOS
print(device_info.device_model()) # Output: iPhone
print(device_info.secondary_client_name()) # Output: Safari
“`

For speed-critical applications, UA-Extract provides options like the SoftwareDetector class, which bypasses hardware and bot detection to focus solely on operating system and application details, boosting performance.

Who Can Benefit?

UA-Extract is designed for a variety of users, including:

• Web Analytics Platforms: Gain accurate insights into user device distributions.
• Personalized Content Delivery: Adapt your website or