use beautifulsoup
#start
from bs4 import BeautifulSoup
import requests
req = requests.get('https://www.slickcharts.com/sp500')
soup = BeautifulSoup(req.text, 'html.parser')use beautifulsoup
#start
from bs4 import BeautifulSoup
import requests
req = requests.get('https://www.slickcharts.com/sp500')
soup = BeautifulSoup(req.text, 'html.parser')beautiful soup 4
from bs4 import BeautifulSoup
with open("index.html") as fp:
soup = BeautifulSoup(fp)
soup = BeautifulSoup("<html>a web page</html>")beautifulsoup python
import bs4 as bs
import urllib.request
source = urllib.request.urlopen('https://pythonprogramming.net/parsememcparseface/').read()web scraper python
>>> from bs4 import BeautifulSoup
>>> raw_html = open('contrived.html').read()
>>> html = BeautifulSoup(raw_html, 'html.parser')
>>> for p in html.select('p'):
... if p['id'] == 'walrus':
... print(p.text)
'I am the walrus'web scraper python
def get_names():
"""
Downloads the page where the list of mathematicians is found
and returns a list of strings, one per mathematician
"""
url = 'http://www.fabpedigree.com/james/mathmen.htm'
response = simple_get(url)
if response is not None:
html = BeautifulSoup(response, 'html.parser')
names = set()
for li in html.select('li'):
for name in li.text.split('\n'):
if len(name) > 0:
names.add(name.strip())
return list(names)
# Raise an exception if we failed to get any data from the url
raise Exception('Error retrieving contents at {}'.format(url))Copyright © 2021 Codeinu
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