Python Projects: Show simple Covid19 info fetching from worldometers site using lxml

Python Web Project-2 with Solution

Worldometer manually analyzes, validates, and aggregates data from thousands of sources in real time and provides global Covid-19 live statistics for a wide audience of caring people around the world.
The coronavirus Covid-19 is affecting 219 countries and territories around the world and 2 international conveyances. The day is reset after midnight GMT+0. The list of countries and territories and their continental regional classification is based on the United Nations Geoscheme. Sources are provided under "Latest Updates".

Source: https://www.worldometers.info/coronavirus/

Create a Python project to get total Covid-19 cases, total deaths due to Covid-19, total Covid-19 patients recovered in the world.

Sample Output:

Total COVID-19 cases in the world: 99,857,603 

Total deaths due to COVID-19 in the world: 2,140,768

Total COVID-19 patients recovered in the world: 71,859,345

Sample Solution:

Python Code:

#Source: https://bit.ly/3cepXbI
from collections import namedtuple
import requests
from lxml import html

covid_data = namedtuple("covid_data", "cases deaths recovered")
def covid_stats(url: str = "https://www.worldometers.info/coronavirus/") -> covid_data:
    xpath_str = '//div[@class = "maincounter-number"]/span/text()'
    return covid_data(*html.fromstring(requests.get(url).content).xpath(xpath_str))
fmt = """\nTotal COVID-19 cases in the world: {}
\nTotal deaths due to COVID-19 in the world: {}
\nTotal COVID-19 patients recovered in the world: {}"""
print(fmt.format(*covid_stats())) 

Flowchart:

Improve this sample solutions and post your code through Disqus