Beautiful Soup is a Python library to do screen scraping. I think it is a powerful tool which can be used in many situations. See here for examples where it is used. In this post I will show you two examples how to crawl websites using this library.

Get started

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Best way to start is to download the latest source and start playing with the many examples from the documentation page. In this post I will scrape the paging of a Dutch tv program site. In the second example I scrape the data of top ranked artists. Another interesting one would be to replicate the Facebook sharer.php which shows you different thumbnails found on the page you want to share. Reddit uses BeautifulSoup for this as well. Maybe a nice exercise for you?

2 practical examples

As you can read and practice yourself with above links, without further ado the two examples:

6 lines to get all RSS feeds of

One of my future plans is to build an iphone app to see programs from Dutch television. I couldn't download the existing "uitzendinggemist" app because Apple only gives you access to one store per credit card, mine is Spain. I didn't actively look for a workaround, however this limitation is actually good to start building something myself. I will need to leave it for the future due to current work, but the below example gets me at least all RSS feeds which are hidden behind a paging navigation of 93 pages, see

  #! /usr/bin/env python

  import urllib
  from bs4 import BeautifulSoup as Soup
  base_url = ""
  program_url = base_url + "/programmas/?page="

  for page in range(1, 93):
    url =  "%s%d" % (program_url, page)
    soup = Soup(urllib.urlopen(url))

    for link in soup.find_all(attrs={'class': 'knav_link'}):
      print link.get('title').encode("utf-8")," :: ",
      print "%s%s.rss" % (base_url, link.get('href') )



  • For version 4 the import statement is : from bs4 import BeautifulSoup as Soup
  • soup = Soup(urllib.urlopen(url)) -> holds the whole page
  • the for loop retrieves all elements with the "knav_link" class (you should look at the HTML source while coding) and gets the title and href attributes.

Get details about top ranked artists

This example is a little bit more challenging because we have to do more parsing on the HTML. See we want to get the name, twitter/facebook page, number of likes/followers of top ranked artists. Moreover, we want to save that data into a database table.

  #! /usr/bin/env python
  import urllib
  from bs4 import BeautifulSoup as Soup
  from time import time
  import MySQLdb

  db = MySQLdb.connect("localhost","bob","cangetin","bobbelde_models" )
  cursor = db.cursor()

  url = ""
  soup = Soup(urllib.urlopen(url))

  for row in soup.find_all(attrs={'class': 'row'}):
    artist = [text for text in row.stripped_strings]
    name = artist[1]
    followers = artist[5]
    likes = artist[7]
    thumb ="img")[0]['src']
    twitter ="a")[0]['href']
    facebook ="a")[1]['href']
    tstamp = int(time())
    sql = """INSERT INTO top_ranking (id, name, followers, likes, thumb, 
            twitter, facebook, audit_who, audit_ins, audit_upd) VALUES
            (NULL, '%s', '%s', '%s', '%s', '%s', '%s', 'admin', '%d', NULL);
            """ % (name, followers, likes, thumb, twitter, facebook, tstamp)




  • We loop through all elements with class "row" which are the table rows in this case
  • artist = [text for text in row.stripped_strings] -> strips away all html and leaves us with bare text only. This gets us almost everything except the thumb "img src" attribute and the Twitter and Facebook URLs. Hence the extra"..")[0]['...'] statements. This does the job, but I expect that a BeautifulSoup ninja would use less code to get this :)
  • We concat all together and execute the insert statement. See this article to get started with MySQLdb.

More examples?

I hope you enjoyed this post. If you have interesting use cases yourself, I invite you to share them in the comments ...

Bob Belderbos

Software Developer, Pythonista, Data Geek, Student of Life. About me