UA-Extract – Easy way to keep user-agent parsing updated

Enhancing User Agent Parsing with UA-Extract: Simplified, Up-to-Date Device Detection

In todayโ€™s web development landscape, understanding the devices and browsers accessing your site is critical. Maintaining accurate user agent detection ensures personalized experiences, robust analytics, and effective debugging. Introducing UA-Extractโ€”a powerful Python library designed to streamline user agent parsing while keeping regex patterns current with minimal effort.

What Is UA-Extract?

UA-Extract is a high-performance Python toolkit crafted for effortlessly deciphering user agent strings. Built upon the established device_detector project, it leverages an extensive, regularly updated database to accurately identify browsers, operating systems, and devicesโ€”including mobiles, tablets, smart TVs, and even gaming consoles.

The standout feature? Seamless Regex Management. As new devices and browsers emerge, outdated regex patterns can lead to misclassification. UA-Extract simplifies this by allowing you to update detection patterns with a single line of code or a straightforward command-line instruction. This functionality taps into the robust repository of Matomoโ€™s device detector, ensuring your system always recognizes the latest devices without manual regex editing.

Updating regexes is as simple as:

python
from ua_extract import Regexes
Regexes().update_regexes() # Fetch and integrate latest detection patterns

Alternatively, via CLI:

bash
ua_extract update_regexes

Parsing user agents to retrieve device details is equally straightforward:

“`python
from ua_extract import DeviceDetector

ua_string = ‘Mozilla/5.0 (iPhone; CPU iPhone OS 14_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.0 Mobile/15A5341a Safari/604.1’
device_info = DeviceDetector(ua_string).parse()

print(device_info.os_name()) # e.g., iOS
print(device_info.device_model()) # e.g., iPhone
print(device_info.secondary_client_name()) # e.g., Safari
“`

For scenarios where faster parsing is neededโ€”say, in high-traffic environmentsโ€”you can utilize optimized modes, such as SoftwareDetector, focusing on essential OS and client data, which accelerates processing.

Who Can Benefit?

UA-Extract is ideal for Python developers engaged in:

  • Web analytics and reporting: Gain precise insights into device distributions.
  • Personalization: Serve tailored content based on device type or OS.
  • Debugging and diagnostics: Quickly identify device-specific issues.
  • API and

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