Find the siblings of tags using BeautifulSoup

Data may be extracted from websites using the useful method known as web scraping. A popular Python package for web scraping is BeautifulSoup, which offers a simple method for parsing HTML and XML documents. Finding the siblings of a tag is a frequent task while scraping web pages siblings are any additional tags that have the same parent as the primary tag.

Installation and Setup

To use BeautifulSoup, you must first install it using pip ?

pip install beautifulsoup4

Once installed, you can import BeautifulSoup in your Python code ?

from bs4 import BeautifulSoup

Methods for Finding Siblings

BeautifulSoup provides several methods to find siblings:

  • find_next_siblings() Returns all following siblings

  • find_previous_siblings() Returns all preceding siblings

  • next_sibling Returns the immediate next sibling

  • previous_sibling Returns the immediate previous sibling

Finding Next Siblings

The find_next_siblings() method returns all siblings that come after the target tag ?

from bs4 import BeautifulSoup

html = """
<html>
<body>
   <div>
      <p>Tutorials Point Python Text 1</p>
      <p>Tutorials Point Python Text 2</p>
      <p>Tutorials Point Python Text 3</p>
   </div>
</body>
</html>
"""

soup = BeautifulSoup(html, "html.parser")
tag = soup.find_all('p')[0]  # First paragraph
siblings = tag.find_next_siblings()
print(siblings)
[<p>Tutorials Point Python Text 2</p>, <p>Tutorials Point Python Text 3</p>]

Finding Previous Siblings

The find_previous_siblings() method returns all siblings that come before the target tag ?

from bs4 import BeautifulSoup

html = """
<html>
<body>
   <div>
      <h1>Heading 1</h1>
      <p>Text 1</p>
      <h2>Heading 2</h2>
      <p>Text 2</p>
   </div>
</body>
</html>
"""

soup = BeautifulSoup(html, "html.parser")
tag = soup.find('h2')
previous_siblings = tag.find_previous_siblings()
print(previous_siblings)
[<p>Text 1</p>, <h1>Heading 1</h1>]

Finding Immediate Siblings

Use next_sibling and previous_sibling to get only the immediate adjacent siblings ?

from bs4 import BeautifulSoup

html = """
<html>
<body>
   <div>
      <h1>Heading 1</h1>
      <p>Text 1</p>
      <h2>Heading 2</h2>
      <p>Text 2</p>
   </div>
</body>
</html>
"""

soup = BeautifulSoup(html, "html.parser")
h2_tag = soup.find('h2')

print("Next sibling:", h2_tag.next_sibling.next_sibling)  # Skip whitespace
print("Previous sibling:", h2_tag.previous_sibling.previous_sibling)
Next sibling: <p>Text 2</p>
Previous sibling: <p>Text 1</p>

Filtering Siblings by Tag Type

You can filter siblings by specifying a tag name as an argument ?

from bs4 import BeautifulSoup

html = """
<html>
<body>
   <div>
      <h1>Main Heading</h1>
      <p>Paragraph 1</p>
      <h2>Sub Heading</h2>
      <p>Paragraph 2</p>
      <h3>Sub Sub Heading</h3>
      <p>Paragraph 3</p>
   </div>
</body>
</html>
"""

soup = BeautifulSoup(html, "html.parser")
h1_tag = soup.find('h1')

# Find only paragraph siblings
p_siblings = h1_tag.find_next_siblings('p')
print("Paragraph siblings:", p_siblings)

# Find only heading siblings
h_siblings = h1_tag.find_next_siblings(['h2', 'h3'])
print("Heading siblings:", h_siblings)
Paragraph siblings: [<p>Paragraph 1</p>, <p>Paragraph 2</p>, <p>Paragraph 3</p>]
Heading siblings: [<h2>Sub Heading</h2>, <h3>Sub Sub Heading</h3>]

Comparison of Sibling Methods

Method Returns Direction Count
find_next_siblings() List Forward All
find_previous_siblings() List Backward All
next_sibling Single tag/text Forward Immediate
previous_sibling Single tag/text Backward Immediate

Common Use Cases

  • Web scraping Extract related content that follows a specific tag

  • Data analysis Process structured HTML data by navigating between related elements

  • Content extraction Find all items in a list or menu structure

  • Automated testing Verify the presence and order of related webpage elements

Conclusion

BeautifulSoup provides powerful methods like find_next_siblings() and find_previous_siblings() to navigate between sibling elements. Use filtering by tag name to extract specific types of siblings efficiently.

Updated on: 2026-03-27T06:26:06+05:30

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