Скачать или смотреть Grab Live coronavirus cases from the website using python | Coronavirus Web Scraper | Web Scraping

Title: Web Scraping Coronavirus Data into MS Excel Using Python
Coronavirus cases are increasing rapidly worldwide. This video will guide you on how to web scrape Coronavirus data and into Ms-excel using python.

What is Web Scrapping?
If you’ve ever copy and pasted information from a website, you’ve performed the same function as any web scraper, only on a microscopic, manual scale. Web scraping, also known as online data mining, is the method of extracting or scraping data from a website. This knowledge is gathered and then translated to a medium that is more accessible to the user. It’s either a spreadsheet or an API.

Approach:
Step 1:Request for a response from the webpage.
Step 2:Parse and extract with the help of the BeautifulsSoup() class method and lxml module.
Step 3:Download and export the data with pandas into Excel.

The Data Source:
We need a webpage to fetch the coronavirus data. So we will be using the Worldometer website here.
Link-https://www.worldometers.info/coronav...

Programmatic Implementation:
There are a few libraries you will need, so first, you need to install them.
Go to your command prompt and install them.
●pip install requests
●pip install lxml
●pip install bs4

Step 1) Use the requests library to grab the page.
Step 2) Use BeautifulSoap() method to extract data from websites.
Step 3) Storing the data
Step 4) Processing the data
Step 5) Exporting data into Excel

Source Code & Link:
Link-https://drive.google.com/drive/folder...

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