import requests
from bs4 import BeautifulSoup
url = "https://www.worldometers.info/coronavirus/"
r = requests.get(url)
soup = BeautifulSoup(r.text,"html.parser")
world_data = soup.select_one('tr[class="total_row_world"]')
tmp = world_data.text.replace(',','').replace('\n\n','\n').replace('\n',';').replace('+','').split(';')
result = [float(i) for i in tmp[2:12]]
columns = ['total_cases','new_cases','total_deaths','new_deaths','total_recovered','new_recovered',
'active_cases','serious','cases_per1M','deaths_per1M']
for j in range(len(result)):
print(f'{columns[j]} \t {int(result[j]):,}')
total_cases 563,107,209 new_cases 240,819 total_deaths 6,377,000 new_deaths 289 total_recovered 535,606,018 new_recovered 146,440 active_cases 21,124,191 serious 38,525 cases_per1M 72,241 deaths_per1M 818