Reputation:
I'm trying to pull out data using BeautifulSoup library in python. I used zip and soup to extract.
My html data looks like this :
<li>
<ul class="features">
<li>Year: <strong>2016</strong></li>
<li>Kilometers: <strong>81,000</strong></li>
</ul>
<ul class="features">
<li>Doors: <strong>2 door</strong></li>
<li>Color: <strong>White</strong></li>
</ul>
<ul class="features">
</ul>
</li>
Here i want to get year,kilometers,doors,color in seperate variables. But when i run my code it getting together.
My code :
for title, price, date, features in zip(soup.select('.listing-item .title'),
soup.select('.listing-item .price'),
soup.select('.listing-item .date'),
soup.select('.listing-item .features')):
title = title.get_text().strip()
price = price.get_text().strip()
date = date.get_text().strip()
features = features.get_text().strip()
print(features)
Output :
Year: 2016
Kilometers: 81,000
Doors: 2 door
Color: White
How i can store the year,kilometers,doors,colors in seperate variables ?
Upvotes: 1
Views: 865
Reputation: 5757
You can try:
from bs4 import BeautifulSoup as bs
from io import StringIO
data = """<li>
<ul class="features">
<li>Year: <strong>2016</strong></li>
<li>Kilometers: <strong>81,000</strong></li>
</ul>
<ul class="features">
<li>Doors: <strong>2 door</strong></li>
<li>Color: <strong>White</strong></li>
</ul>
<ul class="features">
</ul>
</li>"""
soup = bs(StringIO(data))
Year, Km, Doors, Color = list(map(lambda x: x.text.split(':')[1].strip(), soup.select('.features > li')))
print(Year, Km, Doors, Color)
Upvotes: 1
Reputation: 33384
find element li
which contains text and then find next strong tag.
Declare empty list and append.
Code.
from bs4 import BeautifulSoup
html='''<li>
<ul class="features">
<li>Year: <strong>2016</strong></li>
<li>Kilometers: <strong>81,000</strong></li>
</ul>
<ul class="features">
<li>Doors: <strong>2 door</strong></li>
<li>Color: <strong>White</strong></li>
</ul>
<ul class="features">
</ul>
</li>
'''
soup=BeautifulSoup(html,'html.parser')
Year=[]
KiloMeter=[]
Doors=[]
Color=[]
for year,km,dor,colr in zip(soup.select('ul.features li:contains("Year:")'),soup.select('ul.features li:contains("Kilometers:")'),soup.select('ul.features li:contains("Doors:")'),soup.select('ul.features li:contains("Color:")')):
Year.append(year.find_next('strong').text)
KiloMeter.append(km.find_next('strong').text)
Doors.append(dor.find_next('strong').text)
Color.append(colr.find_next('strong').text)
print(Year,KiloMeter,Doors,Color)
Output: list
['2016'] ['81,000'] ['2 door'] ['White']
Upvotes: 0