Jupyter (IPython) notebook: Convert an HTML notebook to ipynb

I recently used BeautifulSoup and JSON to convert html notebook to ipynb. the trick is to look at the JSON schema of a notebook and emulate that. The code selects only input code cells and markdown cells

here is my code

from bs4 import BeautifulSoupimport jsonimport urllib.requesturl = 'http://nbviewer.jupyter.org/url/jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb'response = urllib.request.urlopen(url)#  for local html file# response = open("/Users/note/jupyter/notebook.html")text = response.read()soup = BeautifulSoup(text, 'lxml')# see some of the htmlprint(soup.div)dictionary = {'nbformat': 4, 'nbformat_minor': 1, 'cells': [], 'metadata': {}}for d in soup.findAll("div"):    if 'class' in d.attrs.keys():        for clas in d.attrs["class"]:            if clas in ["text_cell_render", "input_area"]:                # code cell                if clas == "input_area":                    cell = {}                    cell['metadata'] = {}                    cell['outputs'] = []                    cell['source'] = [d.get_text()]                    cell['execution_count'] = None                    cell['cell_type'] = 'code'                    dictionary['cells'].append(cell)                else:                    cell = {}                    cell['metadata'] = {}                    cell['source'] = [d.decode_contents()]                    cell['cell_type'] = 'markdown'                    dictionary['cells'].append(cell)open('notebook.ipynb', 'w').write(json.dumps(dictionary))

here is part of print(soup.div) output

div class="container"><div class="navbar-header"><button class="navbar-toggle collapsed" data-target=".navbar-collapse" data-toggle="collapse" type="button"><span class="sr-only">Toggle navigation</span><i class="fa fa-bars"></i></button><a class="navbar-brand" href="/"><img src="/static/img/nav_logo.svg?v=479cefe8d932fb14a67b93911b97d70f" width="159"/></a></div><div class="collapse navbar-collapse"><ul class="nav navbar-nav navbar-right"><li><a class="active" href="http://jupyter.org">JUPYTER</a></li><li><a href="/faq" title="FAQ"><span>FAQ</span>

A screen shot of the resulting ipynb file, loaded on my local jupyter and after running all the cells