Your best bet in this case would be to use a HTML parsing library like BeautifulSoup (http://www.crummy.com/software/BeautifulSoup/)
From there, you can fetch for example, all the pages p tags:
import urllib2
from BeautifulSoup import BeautifulSoup
page = urllib2.urlopen("http://www.bloomberg.com/apps/newspid=20601103&sid=a8p0FQHnw.Yo&refer=us")
soup = BeautifulSoup(page)
soup.findAll('p')
And then, do some parsing around. It depends entirely on the page, as every site is structured differently. You can get lucky on some sites as they may do and you simply look for a p tag with the id#summary in it, while others (like Blooberg) might require a bit more playing around with.
