Dow Jones tracker re-written with Requests package. Scrape and write data to a CSV file using Python 3 and Beautiful Soup.

csv_dow_tracker.py

import requests
import csv
import re
from bs4 import BeautifulSoup
from datetime import datetime as dt

dow_jones_page = "https://www.bloomberg.com/quote/INDU:IND"
html = requests.get(dow_jones_page).text
soup = BeautifulSoup(html, "html.parser")

price_div = soup.select("div[class=price]") # returns list
price = price_div[0].text
price = re.sub(",", "", price) # removes comma

day_recorded = dt.now().strftime("%x") # see strftime.org/ for more options
time_recorded = dt.now().strftime("%H:%M %p")

with open("dow_tracker.csv", "a", newline="") as f:
    writer = csv.writer(f)
    writer.writerow([day_recorded, time_recorded, price])
    # 3/8/2018  10:03 AM  24766.22