When web scraping, we might need to represent scrape HTML data as plain text. For this we can use BeautifulSoup's get_text() method which extracts all visible HTML text and most importantly ignores invisible details such as <script> elements:
from bs4 import BeautifulSoup
soup = BeautifulSoup("""
<body>
<article>
<h1>Article title</h1>
<p>first paragraph and a <a>link</a></p>
<script>var invisible="javascript variable";</script>
</article>
</body>
""")
# if possible it's best to restrict html to a specific element
element = soup.find('article')
text = element.get_text()
print(text)
"""
Article title
first paragraph and a link
"""
In this guide, we’ll explore how to scrape images from websites using different methods. We'll also cover the most common image scraping challenges and how to overcome them. By the end of this article, you will be an image scraping master!
Ultimate companion for HTML parsing using XPath selectors. This cheatsheet contains all syntax explanations with interactive examples.
Ultimate companion for HTML parsing using CSS selectors. This cheatsheet contains all syntax explanations with interactive examples.
