Tutorial by Examples: beautifulsoup

Imagine you have the following HTML: <div> <label>Name:</label> John Smith </div> And you need to locate the text "John Smith" after the label element. In this case, you can locate the label element by text and then use .next_sibling property: from ...

BeautifulSoup has a limited support for CSS selectors, but covers most commonly used ones. Use select() method to find multiple elements and select_one() to find a single element. Basic example: from bs4 import BeautifulSoup data = """ <ul> <li class="item&quo...

Imagine you have the following HTML: <div> <label>Name:</label> John Smith </div> And you need to locate the text "John Smith" after the label element. In this case, you can locate the label element by text and then use .next_sibling property: from ...

BeautifulSoup has a limited support for CSS selectors, but covers most commonly used ones. Use select() method to find multiple elements and select_one() to find a single element. Basic example: from bs4 import BeautifulSoup data = """ <ul> <li class="item&quo...

from bs4 import BeautifulSoup import requests # Use the requests module to obtain a page res = requests.get('https://www.codechef.com/problems/easy') # Create a BeautifulSoup object page = BeautifulSoup(res.text, 'lxml') # the text field contains the source of the page # Now use a CSS ...

from bs4 import BeautifulSoup import requests main_url = "https://fr.wikipedia.org/wiki/Hello_world" req = requests.get(main_url) soup = BeautifulSoup(req.text, "html.parser") # Finding the main title tag. title = soup.find("h1", class_ = "firstHeading&qu...

When performing data science tasks, it’s common to want to use data found on the internet. You’ll usually be able to access this data via an Application Programming Interface(API) or in other formats. However, there are times when the data you want can only be accessed as part of a web page. In case...