Quick and dirty web scraping with Python

Quick and dirty web scraping with Python.ipynb

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 "metadata": {
  "name": "Quick and dirty web scraping with Python"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import urllib2\n",
      "from html2text import html2text\n",
      "\n",
      "for line in html2text(urllib2.urlopen(\"http://moviebodycounts.com/Blood_Diamond.htm\").read()).split(\"\\n\"):\n",
      "    if \"IMDb\" in line:\n",
      "        print line.split(\"[IMDb]\")[1].strip(\"(\").strip(\",\").strip(\")\")\n",
      "    if \"Film:\" in line:\n",
      "        print line.split(\"Film:\")[-1].strip()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "http://www.imdb.com/title/tt0450259/\n",
        "187\n"
       ]
      }
     ],
     "prompt_number": 1
    }
   ],
   "metadata": {}
  }
 ]
}