About this product
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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Curriculum
- Introduction
- Beautiful Soup and Web Page Inspection
- Scraping Web Pages
- Sorting HTML Table Data
- Writing HTML to CSV
- Sanitizing Input
- Reading HTML from Local Files
- Reading HTML from Non Table Data
- Summary
Requirements
Basic knowledge of Python and Jupyter Notebook
