3 Python-libraries for working with URLs The task of processin | Big Data Science

3 Python-libraries for working with URLs
The task of processing URLs is quite common in practice. For example, make a list of the most frequently visited sites or those that are allowed to be visited during business hours from corporate computers. To automate such cases, the following Python libraries are useful:
• Yarl - allows you to extract features from a URL, provides a convenient class for parsing and changing the address of a web resource. But it only works with Python 3 and does not accept boolean values in the API - you need to convert boolean values to strings yourself using the desired translation protocol. https://github.com/aio-libs/yarl
• Furl - makes parsing and manipulating URLs easier. The library has a wide range of features, but also a number of limitations. In particular, the furl object can change, so problems can occur when passing it to the outside. https://github.com/gruns/furl
• URLObject - A utility class for manipulating URLs with a clean API that focuses on proper method names rather than operator overrides. The object itself is immutable here, each URL change creates a new URL object. But the library does not perform any decoding / encoding transformations, which the user has to deal with on their own. https://github.com/zacharyvoase/urlobject