My webpage looks like this:
<p>
<strong class="offender">YOB:</strong> 1987<br/>
<strong class="offender">RACE:</strong> WHITE<br/>
<strong class="offender">GENDER:</strong> FEMALE<br/>
<strong class="offender">HEIGHT:</strong> 5'05''<br/>
<strong class="offender">WEIGHT:</strong> 118<br/>
<strong class="offender">EYE COLOR:</strong> GREEN<br/>
<strong class="offender">HAIR COLOR:</strong> BROWN<br/>
</p>
I want to extract the info for each individual and get YOB:1987
, RACE:WHITE
, etc...
What I tried is:
subc = soup.find_all('p')
subc1 = subc[1]
subc2 = subc1.find_all('strong')
But this gives me only the values of YOB:
, RACE:
, etc...
Is there a way that I can get the data in YOB:1987
, RACE:WHITE
format?
This question is related to
python
web-scraping
beautifulsoup
I think you could solve this with .strip()
in gazpacho:
Input:
html = """\
<p>
<strong class="offender">YOB:</strong> 1987<br />
<strong class="offender">RACE:</strong> WHITE<br />
<strong class="offender">GENDER:</strong> FEMALE<br />
<strong class="offender">HEIGHT:</strong> 5'05''<br />
<strong class="offender">WEIGHT:</strong> 118<br />
<strong class="offender">EYE COLOR:</strong> GREEN<br />
<strong class="offender">HAIR COLOR:</strong> BROWN<br />
</p>
"""
Code:
soup = Soup(html)
text = soup.find("p").strip(whitespace=False) # to keep \n characters intact
lines = [
line.strip()
for line in text.split("\n")
if line != ""
]
data = dict([line.split(": ") for line in lines])
Output:
print(data)
# {'YOB': '1987',
# 'RACE': 'WHITE',
# 'GENDER': 'FEMALE',
# 'HEIGHT': "5'05''",
# 'WEIGHT': '118',
# 'EYE COLOR': 'GREEN',
# 'HAIR COLOR': 'BROWN'}
you can try this indside findall for loop:
item_price = item.find('span', attrs={'class':'s-item__price'}).text
it extracts only text and assigs it to "item_pice"
I think you can get it using subc1.text
.
>>> html = """
<p>
<strong class="offender">YOB:</strong> 1987<br />
<strong class="offender">RACE:</strong> WHITE<br />
<strong class="offender">GENDER:</strong> FEMALE<br />
<strong class="offender">HEIGHT:</strong> 5'05''<br />
<strong class="offender">WEIGHT:</strong> 118<br />
<strong class="offender">EYE COLOR:</strong> GREEN<br />
<strong class="offender">HAIR COLOR:</strong> BROWN<br />
</p>
"""
>>> from bs4 import BeautifulSoup
>>> soup = BeautifulSoup(html)
>>> print soup.text
YOB: 1987
RACE: WHITE
GENDER: FEMALE
HEIGHT: 5'05''
WEIGHT: 118
EYE COLOR: GREEN
HAIR COLOR: BROWN
Or if you want to explore it, you can use .contents
:
>>> p = soup.find('p')
>>> from pprint import pprint
>>> pprint(p.contents)
[u'\n',
<strong class="offender">YOB:</strong>,
u' 1987',
<br/>,
u'\n',
<strong class="offender">RACE:</strong>,
u' WHITE',
<br/>,
u'\n',
<strong class="offender">GENDER:</strong>,
u' FEMALE',
<br/>,
u'\n',
<strong class="offender">HEIGHT:</strong>,
u" 5'05''",
<br/>,
u'\n',
<strong class="offender">WEIGHT:</strong>,
u' 118',
<br/>,
u'\n',
<strong class="offender">EYE COLOR:</strong>,
u' GREEN',
<br/>,
u'\n',
<strong class="offender">HAIR COLOR:</strong>,
u' BROWN',
<br/>,
u'\n']
and filter out the necessary items from the list:
>>> data = dict(zip([x.text for x in p.contents[1::4]], [x.strip() for x in p.contents[2::4]]))
>>> pprint(data)
{u'EYE COLOR:': u'GREEN',
u'GENDER:': u'FEMALE',
u'HAIR COLOR:': u'BROWN',
u'HEIGHT:': u"5'05''",
u'RACE:': u'WHITE',
u'WEIGHT:': u'118',
u'YOB:': u'1987'}
Source: Stackoverflow.com