![]() "rank": article.find(class_="rank").getText().replace(".", "")Ī few seconds after running the script, we will see a dictionary containing each article's URL, ranking, and title printed on our console. "title": article.find(class_="titleline").getText(), Soup = BeautifulSoup(yc_web_page, features="html.parser")Īrticles = soup.find_all(class_="athing") ![]() Let's now see how we can use Beautiful Soup + HTTPX to extract the title content, rank, and URL from all the articles on the first page of Hacker News. ⚙️ Installing Beautiful Soup pip install beautifulsoup4 □ Code sample Offers great flexibility, being able to parse nearly any HTML or XML document.Works with a simple and consistent DOM model, making parsing, manipulating, and rendering incredibly efficient.Implements a subset of core jQuery, providing developers with a familiar and easy-to-use syntax.BS4 is relatively easy to use and presents itself as a lightweight option for tackling simple scraping tasks with speed. ![]() Beautiful Soupīeautiful Soup (also known as BS4) is a Python library for pulling data out of HTML and XML files with just a few lines of code. A library such as Beautiful Soup will help us parse this response. In web scraping, HTML and XML parsers are used to interpret the response we get back from our target website, often in the form of HTML code. Print(status_code, html) How to use HTML parsers for web scraping in Python Similar to the Requests example, we will send a request to the target website, retrieve the HTML of the page and print it to the console along with the request status code.
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