Install the requirements as supplied int he requirements.txt file that I added in the Github repo which you can find here.Ĭreated virtual environment CPython3.9.12.final.0-64 in 180msĬreator CPython3Posix(dest=/Users/alex/code/unbiased/python-extract-urls-from-page/venv, clear=False, no_vcs_ignore=False, global=False).Initialize a virtual environment that we will use and activate it.To do this we need to follow these steps: Let’s go over how you can set up now the two packages we described earlier: There’s a lot of resources online documentation how to get those installed in your system so for this guide I am going to skip the part on how to get those installed. Virtualenv: This is the virtual environment app that Python uses. ![]() Python: The Python programming language.To do this we assume you have two things installed in your system: Now that we have listed a few reasons as to why it’s important to have automation in your arsenal, we will cover how to get your environment setup and running. Once you implement the code this can become a library and be shared among peers or other projects that could benefit from the things we listed earlier. Sharing the code with other websites and platforms.Having code that runs and performs this for you is life saving and allows you to focus on other more important things. Typically analyzing a page and extracting links is a very tedious and long process. You can perform operations in batch jobs and scale it out.For example if you see a URL in your website going somewhere else you can perform actions on it where otherwise it would be difficult to do manually. Besides automation now you can add business logic in your code once you have URL extraction.Error checking and syntactical analysis.Automating the process could be added in a plethora of analysis tools that work on the URLs.Based on this split up and analysis you can perform queries on it as we will see later on this article. More specifically it analyzes the html contents that the requests library gives back to us and splits it up based on the html tags. beautifulsoup: This is another great library that helps us perform the task in action here.This abstracts a lot of complexity from your code with a few lines of just calling the library. ![]()
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