RajeshKrSahoo

def scrap_coronaData():
    try:
        file_name='nCOV'+datetime.now().strftime("%d-%m-%Y")+'.csv'
#         corona_data=pd.read_html('https://www.worldometers.info/coronavirus/#countries')[0]#,header=None)[0]
        header = {
              "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
              "X-Requested-With": "XMLHttpRequest"
             }

        r = requests.get('https://www.worldometers.info/coronavirus/#countries', headers=header, timeout=10)

RajeshKrSahoo

# Import necessary libraries
import pandas as pd
import numpy as np
import requests
from bs4 import BeautifulSoup as bs
from datetime import datetime

def scrap_covid19_data():

    ''' function to scrap the COVID19 affected country wise '''

RajeshKrSahoo

def scrap_covid19_data():

    ''' function to scrap the COVID19 affected country wise '''
    
    
    header = {
              "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
              "X-Requested-With": "XMLHttpRequest"
             }