/Web-Scrapping-Corona-Virus-data-into-Ms-Excel

Fetching the Corona Virus data across the world and scraping into Ms Excel.

Primary LanguageJupyter Notebook

Web-Scrapping-Corona-Virus-data-into-Ms-Excel

Fetching the Corona Virus data across the world and scraping into Ms Excel.

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