For COVID-19 Cases we are using the concept of web scraping, where we are fetching the data from a website called Worldometers. In this project we can fetch the data of Coronavirus (COVID-19) cases for any country in the World.
To do this we need two libraries beautifulsoup4 and requests
Beautiful Soup is a library that makes it easy to scrape information from web pages. It sits atop an HTML or XML parser, providing Pythonic idioms for iterating, searching, and modifying the parse tree.
Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your PUT & POST data — but nowadays, just use the json method!
Install with pip command in any terminal
pip install beautifulsoup4
pip install requestsImport the beautifulsoup4 and requests libraries in the Python file that you are going to use to get the Covid-19 cases information. These libraries provide functions to easily get the information from any web page to your console/application.
For example-
import bs4
import requests
url = "https://something.com/something"
res = requests.get(url)
data = bs4.BeautifulSoup(res.text, 'lxml')
print(data)OR
from bs4 import BeautifulSoup
import requests
url = "https://something.com/something"
res = requests.get(url)
data = BeautifulSoup(res.text, 'lxml')
print(data)
