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>£682m</p>")
>>> text = soup.find("p").string
>>> print text
£682m
How can I decode the HTML entities in text to get "£682m" instead of "£682m".
This question is related to
python
html
html-entities
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.
>>> from BeautifulSoup import BeautifulSoup
>>> BeautifulSoup("<p>£682m</p>",
... convertEntities=BeautifulSoup.HTML_ENTITIES)
<p>£682m</p>
>>> from bs4 import BeautifulSoup
>>> BeautifulSoup("<p>£682m</p>")
<html><body><p>£682m</p></body></html>
You can use replace_entities from w3lib.html library
In [202]: from w3lib.html import replace_entities
In [203]: replace_entities("£682m")
Out[203]: u'\xa3682m'
In [204]: print replace_entities("£682m")
£682m
Beautiful Soup 4 allows you to set a formatter to your output
If you pass in
formatter=None, Beautiful Soup will not modify strings at all on output. This is the fastest option, but it may lead to Beautiful Soup generating invalid HTML/XML, as in these examples:
print(soup.prettify(formatter=None))
# <html>
# <body>
# <p>
# Il a dit <<Sacré bleu!>>
# </p>
# </body>
# </html>
link_soup = BeautifulSoup('<a href="http://example.com/?foo=val1&bar=val2">A link</a>')
print(link_soup.a.encode(formatter=None))
# <a href="http://example.com/?foo=val1&bar=val2">A link</a>
This probably isnt relevant here. But to eliminate these html entites from an entire document, you can do something like this: (Assume document = page and please forgive the sloppy code, but if you have ideas as to how to make it better, Im all ears - Im new to this).
import re
import HTMLParser
regexp = "&.+?;"
list_of_html = re.findall(regexp, page) #finds all html entites in page
for e in list_of_html:
h = HTMLParser.HTMLParser()
unescaped = h.unescape(e) #finds the unescaped value of the html entity
page = page.replace(e, unescaped) #replaces html entity with unescaped value
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
Source: Stackoverflow.com