Web Scraping with Python and BeautifulSoup

Gathering data from a web page is known as web scraping, and is typically performed either by fetching web page via URL and reading the data directly online, or by reading the data from a saved HTML file. Understanding web scraping is a skill crucial to anyone interested in data science or those just looking to obtain information from web pages.

This course covers:

Downloading and installing the Python library BeautifulSoup
Inspecting a web page to identify the relevant data
Scraping and parsing the data using BeautifulSoup (formatting it into arrays and variables)
Storing and sanitizing the data in a correctly formatted CSV sheet
Reading from local HTML files instead of URLs
How to read non-table data

…and more!

Frameworks and tools covered: Python 3.6, Anaconda 5.2, Jupyter Notebook 5.5, Beautiful Soup 4.6

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