Parsing URLs with Python


URLs are, no doubt, an important part of the Internet, as it allows us to access resources and navigate websites. If the Internet was one giant graph (which it is), URLs would be the edges.

We parse URLs when we need to break down a URL into its components, such as the scheme, domain, path, and query parameters. We do this to extract information, manipulate them, or maybe to construct new URLs. This technique is essential for a lot of different web development tasks, like web scraping, integrating with an API, or general app development.

In this short tutorial, we'll explore how to parse URLs using Python.

Note: Throughout this tutorial we'll be using Python 3.x, as that is when the urllib.parse library became available.

URL Parsing in Python

Lucky for us, Python offers powerful built-in libraries for URL parsing, allowing you to easily break down URLs into components and reconstruct them. The urllib.parse library, which is part of the larger urllib module, provides a set of functions that help you to deconstruct URLs into their individual components.

To parse a URL in Python, we'll first import the urllib.parse library and use the urlparse() function:

from urllib.parse import urlparse

url = ""
parsed_url = urlparse(url)

The parsed_url object now contains the individual components of the URL, which has the following components:

  • Scheme: https
  • Domain:
  • Path: /path/to/resource
  • Query parameters: query=example&lang=en

To further process the query parameters, you can use the parse_qs function from the urllib.parse library:

from urllib.parse import parse_qs

query_parameters = parse_qs(parsed_url.query)
print("Parsed query parameters:", query_parameters)

The output would be:

Parsed query parameters: {'query': ['example'], 'lang': ['en']}
Get free courses, guided projects, and more

No spam ever. Unsubscribe anytime. Read our Privacy Policy.

With this simple method, you have successfully parsed the URL and its components using Python's built-in urllib.parse library! Using this, you can better handle and manipulate URLs in your web development projects.

Best Practices for URL Parsing

Validating URLs: It's essential to ensure URLs are valid and properly formatted before parsing and manipulating them to prevent errors. You can use Python's built-in urllib.parse library or other third-party libraries like Validators to check the validity of a URL.

Here's an example using the validators library:

import validators

url = ""

if validators.url(url):
    print("URL is valid")
    print("URL is invalid")

By validating URLs before parsing or using them, you can avoid issues related to working with improperly formatted URLs and ensure that your is more stable and less prone to errors or crashing.

Properly Handling Special Characters: URLs often contain special characters that need to be properly encoded or decoded to ensure accurate parsing and processing. These special characters, such as spaces or non-ASCII characters, must be encoded using the percent-encoding format (e.g., %20 for a space) to be safely included in a URL. When parsing and manipulating URLs, it is essential to handle these special characters appropriately to avoid errors or unexpected behavior.

The urllib.parse library offers functions like quote() and unquote() to handle the encoding and decoding of special characters. Here's an example of these in use:

from urllib.parse import quote, unquote

url = " with spaces?query=example&lang=en"

# Encoding the URL
encoded_url = quote(url, safe=':/?&=')
print("Encoded URL:", encoded_url)

# Decoding the URL
decoded_url = unquote(encoded_url)
print("Decoded URL:", decoded_url)

This code will output:

Encoded URL:
Decoded URL: with spaces?query=example&lang=en

It's always good practice to handle special characters in URLs so that you can ensure that your parsing and manipulation code remains error-free.


Parsing URLs with Python is an essential skill for web developers and programmers, enabling them to extract, manipulate, and analyze URLs with ease. By utilizing Python's built-in libraries, such as urllib.parse, you can efficiently break down URLs into their components and perform various operations, such as extracting information, normalizing URLs, or modifying them for specific purposes.

Additionally, following best practices like validating URLs and handling special characters ensures that your parsing and manipulation tasks are accurate and reliable.

Last Updated: June 26th, 2023
Was this helpful?

Building Your First Convolutional Neural Network With Keras

# python# artificial intelligence# machine learning# tensorflow

Most resources start with pristine datasets, start at importing and finish at validation. There's much more to know. Why was a class predicted? Where was...

David Landup
David Landup

Ā© 2013-2024 Stack Abuse. All rights reserved.