web.py

# import libraries
import urllib2  
from bs4 import BeautifulSoup  
# specify the url
quote_page = 'http://www.bloomberg.com/quote/SPX:IND'  
# query the website and return the html to the variable 'page'
page = urllib2.urlopen(quote_page)  
# parse the html using beautiful soap and store in variable `soup`
soup = BeautifulSoup(page, 'html.parser')  
soup.prettify()
# Take out the <div> of name and get its value
name_box = soup.find('h1', attrs={'class': 'name'}) 
name = name_box.text.strip() # strip() is used to remove starting and trailing  
print name  
# get the index price
price_box = soup.find('div', attrs={'class':'price'})  
price = price_box.text  
print price 
import csv  
from datetime import datetime 
# open a csv file with append, so old data will not be erased
with open('index.csv', 'a') as csv_file:  
    writer = csv.writer(csv_file)
    writer.writerow([name, price, datetime.now()])