Scrapping WSJ Market Data

import os, sys
import requests
from urllib.parse import urljoin
from bs4 import BeautifulSoup as bs

def ParesIndex (sHtml):
    entries = sHtml.find_all('td')
    entry = entries[0].find('a', recursive=True)
    sTitle = entry.text
    sValue = entries[1].span.text
    sDelta = entries[2].span.text
    sPercentage = entries[3].span.text
    print(sTitle + ' ' + sValue + ' ' + sDelta + ' ' + sPercentage)


def scrapping(url):
    # Open up a session
    session = requests.Session()
    session.headers.update({'User-Agent': "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.2; .NET CLR 1.1.4322"})
    
    response = session.get(url)    
    #print (response.text)
    
    soup = bs(response.text, features="html.parser")
    
    #spans = soup.find_all('table', {'class' : 'cr_stockindexes_table'})

    #use CSS selectors
    spans = soup.select('table.cr_stockindexes_table')

    entries = spans[0].find_all('tr', {'data-type' : 'Index'})

    ParesIndex(entries[0]) # Dow
    ParesIndex(entries[1]) # Nasdaq
    ParesIndex(entries[2]) # S&P 500

    
url = 'https://www.wsj.com/market-data/quotes/index/US/DJIA'

scrapping(url)