how to reliably parse user-agent strings without complex regex or extra libraries

the problem

understanding what device, browser, or os your visitors are using can be a nightmare. user-agent strings are inconsistent and parsing them manually is a pain, especially at scale.

the solution

use the user-agent-analyzer api to parse user-agents into structured data. here's a sample request:

curl -X GET "https://user-agent-analyzer.apimesh.xyz/check?ua=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36"

// response shape:
{
  "browser": "Chrome",
  "os": "Windows 10",
  "device": "desktop"
}

how it works

this api matches user-agent strings against an internal database of device/browser/os patterns. it returns clean, structured info that can be used for analytics, content optimization, or debugging.

try it

get a free preview at https://user-agent-analyzer.apimesh.xyz/preview. pricing is $0.005 per call. integrate easily with any backend or front end to improve your user insights.