Web Scraping for Data Science-Python: BS4, Selenium & Scrapy

Have you ever thought about how important is data in our everyday life?

It doesn’t matter if you’re a data scientist, data analyst, or programmer, getting access to the data you need is important! This is why some of the top Fortune 500 companies such as Walmart, Target, and CNN use web scraping to stay ahead with data. We can say this is one of their best secret weapons.

Welcome to Web Scraping in Python with BeautiuflSoup, Selenium, and Scrapy!

The most complete and project–oriented course. In this course, we’re going to learn web scraping solving cool projects that will help us scrape data off some of the most well–known websites. To name a few:

Amazon Audible

Twitter

Google

Football Stats

Worldometers

Movie pages

This is the most complete web scraping course in Python and is split into 3 parts: BeautiuflSoup, Selenium, and Scrapy. My goal is that you become an expert in web scraping. This is why only 10% of the content of this course is focused on Beautiful Soup, while 40% is dedicated to Selenium and 50% to Scrapy.

Why I built the course this way?

Beautiful Soup has a lot of limitations, but it’s still useful for a gentle introduction to web scraping. In contrast, if you learn Selenium you will be able to scrape any website. and if you add Scrapy to your toolkit you will be able to scrape any website faster than with any other web scraping library. Throughout this course, you will see the power of web scraping with each Python library.