Web Scraping with Python and BeautifulSoup
Learn how to capture data from the web by scraping websites using Python and BeautifulSoup.
- 1.3 Hours of Video
- Certificate of Completion
- Source Code
- Closed Captions
- On-demand, 24/7 access
- 1.3 hours of video
- Certificate of completion
- Source code and PDF notes
- Closed captions
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
Frameworks and tools covered: Python 3.6, Anaconda 5.2, Jupyter Notebook 5.5, Beautiful Soup 4.6
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- Basic knowledge of Python and Jupyter Notebook
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