Zoopla houses thing as an ipython notebook

gistfile1.txt

{
 "metadata": {
  "name": "zoopla_houses_notebook"
 }, 
 "name": "zoopla_houses_notebook", 
 "nbformat": 2, 
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": "import re\nimport urllib2\nimport numpy as np\nfrom BeautifulSoup import BeautifulSoup\n \nhouse_webpage = 'http://www.zoopla.co.uk/for-sale/details/28121543'\n \n# Grab the whole webpage for the house listing\nsoup = BeautifulSoup(urllib2.urlopen(house_webpage).read())\n \n# Pull out the \"Property Description\" bit\ndesc = soup.find(\"div\",{\"class\":\"top\"}).text\n \n# Find the room sizes and put them in an array\nrooms = re.findall('\\d\\.\\d\\dm[ ]x[ ]\\d.\\d\\dm',desc)\n \n# Multiply the dimensions to get the area of each room\narea = []\nfor room in rooms:\n    area.append( float(room.split()[0][:-1]) * float(room.split()[-1][:-1]) )\n \n# Now add up all the room areas\ntotal_area = np.array(area).sum()\n \n# Print the total area to screen\nprint total_area", 
     "language": "python", 
     "outputs": [
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": "42.5798"
      }
     ], 
     "prompt_number": 1
    }
   ]
  }
 ]
}