"BeautifulSoup" Code Answer's
You're definitely familiar with the best coding language Python that developers use to develop their projects and they get all their queries like "BeautifulSoup" answered properly. Developers are finding an appropriate answer about BeautifulSoup related to the Python coding language. By visiting this online portal developers get answers concerning Python codes question like BeautifulSoup. Enter your desired code related query in the search bar and get every piece of information about Python code related question on BeautifulSoup.
use beautifulsoup
#start
from bs4 import BeautifulSoup
import requests
req = requests.get('https://www.slickcharts.com/sp500')
soup = BeautifulSoup(req.text, 'html.parser')
beautifulsoup
>>> from bs4 import BeautifulSoup
>>> soup = BeautifulSoup("<p>Some<b>bad<i>HTML")
>>> print soup.prettify()
<html>
<body>
<p>
Some
<b>
bad
<i>
HTML
</i>
</b>
</p>
</body>
</html>
>>> soup.find(text="bad")
u'bad'
>>> soup.i
<i>HTML</i>
#
>>> soup = BeautifulSoup("<tag1>Some<tag2/>bad<tag3>XML", "xml")
#
>>> print soup.prettify()
<?xml version="1.0" encoding="utf-8">
<tag1>
Some
<tag2 />
bad
<tag3>
XML
</tag3>
</tag1>
Source: pypi.org
BeautifulSoup
from bs4 import BeautifulSoup
soup = BeautifulSoup(html_doc, 'html.parser')
print(soup.prettify())
# <html>
# <head>
# <title>
# The Dormouse's story
# </title>
# </head>
# <body>
# <p class="title">
# <b>
# The Dormouse's story
# </b>
# </p>
# <p class="story">
# Once upon a time there were three little sisters; and their names were
# <a class="sister" href="http://example.com/elsie" id="link1">
# Elsie
# </a>
# ,
# <a class="sister" href="http://example.com/lacie" id="link2">
# Lacie
# </a>
# and
# <a class="sister" href="http://example.com/tillie" id="link3">
# Tillie
# </a>
# ; and they lived at the bottom of a well.
# </p>
# <p class="story">
# ...
# </p>
# </body>
# </html>
Source: www.crummy.com
BeautifulSoup
soup.title
# <title>The Dormouse's story</title>
soup.title.name
# u'title'
soup.title.string
# u'The Dormouse's story'
soup.title.parent.name
# u'head'
soup.p
# <p class="title"><b>The Dormouse's story</b></p>
soup.p['class']
# u'title'
soup.a
# <a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>
soup.find_all('a')
# [<a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>,
# <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>,
# <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>]
soup.find(id="link3")
# <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>
Source: www.crummy.com
beautifulsoup
soup = BeautifulSoup(plateRequest.text)
#print(soup.prettify())
#print soup.find_all('tr')
table = soup.find("table", { "class" : "lineItemsTable" })
for row in table.findAll("tr"):
cells = row.findAll("td")
print cells
Source: stackoverflow.com
BeautifulSoup
html_doc = """<html><head><title>The Dormouse's story</title></head>
<body>
<p class="title"><b>The Dormouse's story</b></p>
<p class="story">Once upon a time there were three little sisters; and their names were
<a href="http://example.com/elsie" class="sister" id="link1">Elsie</a>,
<a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and
<a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>;
and they lived at the bottom of a well.</p>
<p class="story">...</p>
"""
Source: www.crummy.com
All those coders who are working on the Python based application and are stuck on BeautifulSoup can get a collection of related answers to their query. Programmers need to enter their query on BeautifulSoup related to Python code and they'll get their ambiguities clear immediately. On our webpage, there are tutorials about BeautifulSoup for the programmers working on Python code while coding their module. Coders are also allowed to rectify already present answers of BeautifulSoup while working on the Python language code. Developers can add up suggestions if they deem fit any other answer relating to "BeautifulSoup". Visit this developer's friendly online web community, CodeProZone, and get your queries like BeautifulSoup resolved professionally and stay updated to the latest Python updates.