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Web Scraping Coronavirus Data into MS Excel

Web Scraping Coronavirus Data into Ms-Excel

Watch the video

Code Walkthrough:

you can find a step by step walkthrough in my Blog

You can find a video tutorial at YouTube for the same

Pre-requisites:

- python
- Beautiful soup
- pandas
- HTML
- CSS

What is Web Scrapping?:

Web scraping, also known as web data extraction, is the process of retrieving or “scraping” data from a website. This information is collected and then exported into a format that is more useful for the user. Be it a spreadsheet or an API.

Steps:

  1. Make Requests
  2. Create Beautiful Soup object
  3. Extract the data
  4. Store the data
  5. Create DataFrame
  6. Export the data

The data source:

We need a webpage to fetch the coronavirus data from. So I am using the Worldometer website here.

Required Libraries:

pip install requests
pip install lxml
pip install bs4

LICENSE:

Copyright (c) 2020 Ayushi Rawat

This project is licensed under the MIT License

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You can find my blogs at my Website.

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