To deal with this problem, using Selenium can be an interesting option. Selenium works by opening an automated browser and then it’s capable of accessing the entire content and of interacting with the page.
The Premier League website makes the scraping of multiples matches pretty simple with its very straight forward URLs. The URL for a match consists basically of “https://www.premierleague.com/match/” followed by a unique match ID.
Each ID consists of a number and the IDs for all matches of each season are sequenced. For instance, the entire 2019/20 season goes from 46605 to 46984. All we need to do then is to loop through this interval and collect the data from each match.
We’ll use Liverpool 5 to 3 win over Chelsea as an example in this article. This game ID is 46968. You can type this ID after “premierleague.com/match/” to go to the page so you can follow along with the scraping process that will be described in the article. Refer back to the page always that necessary.
In this article I will show you how you can create your own dataset by Web Scraping using Python. Web Scraping means to extract a set of data from web. If you are a programmer, a Data Scientist, Engineer or anyone who works by manipulating the data, the skills of Web Scrapping will help you in your career. Suppose you are working on a project where no data is available, then how you are going to collect the data. In this situation Web Scraping skills will help you.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
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We always say “Garbage in Garbage out” in data science. If you do not have a good quality and quantity of data, mostly likely you would not get much insights out of it.
A simplified example of scraping an online books store. In this article we will go through a web scraping process of an E-Commerce website.