Using Python and Beautifulsoup, to find elements without a specific attribute (like class) we can use find or find_all methods or CSS selectors:
import bs4
soup = bs4.BeautifulSoup("""
<a class="ignore">bad link</a>
<a>good link</a>
""")
soup.find_all("a", class_=None)
["<a>good link</a>]
# or using a lambda function:
soup.find_all("a", class_=lambda value: "ignore" not in value)
# or using regular expression
soup.find_all("a", class_=re.compile(""))
Beautifulsoup is one the most popular libraries in web scraping. In this tutorial, we'll take a hand-on overview of how to use it, what is it good for and explore a real -life web scraping example.
In-depth look at list crawling - how to extract valuable data from list-formatted content like tables, listicles and paginated pages.
Learn JSON parsing in Python with this ultimate guide. Explore basic and advanced techniques using json, and tools like ijson and nested-lookup
Learn about the fundamentals of parsing data, across formats like JSON, XML, HTML, and PDFs. Learn how to use Python parsers and AI models for efficient data extraction.
In this tutorial, we'll take a deep dive into lxml, a powerful Python library that allows for parsing HTML and XML effectively. We'll start by explaining what lxml is, how to install it and using lxml for parsing HTML and XML files. Finally, we'll go over a practical web scraping with lxml.
In this article, we'll explain about XML parsing. We'll start by defining XML files, their format and how to navigate them for data extraction.
