Decode HTML entities in Python string?

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I'm parsing some HTML with Beautiful Soup 3, but it contains HTML entities which Beautiful Soup 3 doesn't automatically decode for me:

>>> from BeautifulSoup import BeautifulSoup

>>> soup = BeautifulSoup("<p>&pound;682m</p>")
>>> text = soup.find("p").string

>>> print text
&pound;682m

How can I decode the HTML entities in text to get "£682m" instead of "&pound;682m".

6 Answers

Python 3.4+

Use html.unescape():

import html
print(html.unescape('&pound;682m'))

FYI html.parser.HTMLParser.unescape is deprecated, and was supposed to be removed in 3.5, although it was left in by mistake. It will be removed from the language soon.


Python 2.6-3.3

You can use HTMLParser.unescape() from the standard library:

>>> try:
...     # Python 2.6-2.7 
...     from HTMLParser import HTMLParser
... except ImportError:
...     # Python 3
...     from html.parser import HTMLParser
... 
>>> h = HTMLParser()
>>> print(h.unescape('&pound;682m'))
£682m

You can also use the six compatibility library to simplify the import:

>>> from six.moves.html_parser import HTMLParser
>>> h = HTMLParser()
>>> print(h.unescape('&pound;682m'))
£682m

Beautiful Soup handles entity conversion. In Beautiful Soup 3, you'll need to specify the convertEntities argument to the BeautifulSoup constructor (see the 'Entity Conversion' section of the archived docs). In Beautiful Soup 4, entities get decoded automatically.

Beautiful Soup 3

>>> from BeautifulSoup import BeautifulSoup
>>> BeautifulSoup("<p>&pound;682m</p>", 
...               convertEntities=BeautifulSoup.HTML_ENTITIES)
<p>£682m</p>

Beautiful Soup 4

>>> from bs4 import BeautifulSoup
>>> BeautifulSoup("<p>&pound;682m</p>")
<html><body><p>£682m</p></body></html>

I had a similar encoding issue. I used the normalize() method. I was getting a Unicode error using the pandas .to_html() method when exporting my data frame to an .html file in another directory. I ended up doing this and it worked...

    import unicodedata 

The dataframe object can be whatever you like, let's call it table...

    table = pd.DataFrame(data,columns=['Name','Team','OVR / POT'])
    table.index+= 1

encode table data so that we can export it to out .html file in templates folder(this can be whatever location you wish :))

     #this is where the magic happens
     html_data=unicodedata.normalize('NFKD',table.to_html()).encode('ascii','ignore')

export normalized string to html file

    file = open("templates/home.html","w") 

    file.write(html_data) 

    file.close() 

Reference: unicodedata documentation

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