UserAgent resolution

In the process of software development, we need to parse some UserAgentinformation, and do corresponding processing according to different UserAgents.

The common UserAgent parsing methods are as follows:

Library resolution UserAgent

Different languages ​​have different libraries for parsing UserAgent, for example in Python user-agents, ua-parse, Python User Agent Parser, Python User Agents…

The above libraries have been tested, and they have similar functions and can meet the basic requirements. However, there are still some problems in the parsing results. Sometimes there are problems with device version recognition, and sometimes there are problems with browser recognition.

Online UserAgent Analysis

We can also use Online UserAgent Parsing, which can easily help us parse UserAgent, the usage of online UserAgent parsing can refer to this article: useragent online search, This article is written in great detail, so I won't repeat it here.

Comparison of pros and cons

Library parsing UserAgent has some problems, but it is still a very good choice if it needs a large-scale parsing, or is integrated into the publishing software.

Online UsreAgent parsing tool, although the parsing information is relatively complete: it can parse browser name, browser version, operating system name, operating system version, whether it is a crawler, crawler name, crawler classification, etc., so far it has not providedAPI, so there may be problems with mass parsing, but if there is not much information to query UserAgent, it is still a good choice.

Summary

Introduces two ways to parse UserAgent: library parsing UserAgent and online UserAgent parsing, and compares the advantages and disadvantages of these two methods. We can use different ways to parse UserAgent in specific situations.

Through the above introduction, do you think UserAgent parsing is very simple?