Scrap website

Scrap by python (https://www.worldometers.info/coronavirus/)

import requests
from bs4 import BeautifulSoup
import csv
import numpy as np

# useing requests

def analysis(url):
    r = requests.get(url)
    return r.text

if __name__ == "__main__":
    myData = analysis("https://www.worldometers.info/coronavirus/")
    soup = BeautifulSoup(myData, "html.parser")

   

#  Store by split using bs4

    myStr = ""
    for tr in soup.find_all("tbody"):
        myStr += tr.get_text()
    myStr = myStr[665:]
    itemList = (myStr.split("\n\n\n"))

    itembox = []
    for item in itemList:
        itemSpilt = item.split("\n")[1:]
        itembox.append(itemSpilt)
    print(itembox)

# Create and write in csv file by file handleing

    with open("datasetcovid.csv", "w", newline='', encoding='utf-8') as fp:
        csvwriter = csv.writer(fp)
        csvwriter.writerows(itembox)