Web scraping with Python
This post is for those who are interested in learning about common design patterns, tricks, and rules related to web scraping. For scraping, we will use a programming language and corresponding libraries. In our case, Python will be used. This language is a pretty strong tool for writing scrapers if you know how to use it and its libraries correctly: requests, bs4, json, lxml, re. Here we work with selectors to get the elements we want. To do this, first we need to connect the requests library and make a request. Special attention should be paid to headers, because with their help, the server analyzes the request and returns you the result depending on what was indicated in them, I highly recommend finding information about the standard headers and their values. import requests headers = { 'authority': 'www.walmart.com', 'cache-control': 'max-age=0', 'upgrade-insecure-requests': '1', 'user-agent': '
