Easy Python Web Scraping with BeautifulSoup and Requests

Learn how to perform web scraping with Python using the Beautiful Soup library

In today's video, you will learn how to extract text or data from web pages, using the BeautifulSoup and Requests Python packages. This data could be historical data from financial sites either to summarize or to use for building a model to make predictions, or maybe player statistics data from a sports website to predict how a player will perform in your fantasy league this week. The BeautifulSoup package allows you to pull data in from any web page in just a few lines of code.
There are a few, more advanced alternative packages: Scrapy (which is more powerful, but with a higher learning curve) and Selenium (slower, but more flexible, and includes more programming languages other than python)
After watching this video, you will know how to setup this package in python, read in a web page, find some common tags in the web page content, and build a dictionary from these tags, after some filtering.

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