Python and SEO: Automate your marketing using these 6 ways


We all know how competitive digital marketing has become over the past ten years. This is because more and more businesses are joining the online bandwagon. And to make matters worse, Google is constantly updating its algorithms. This has made it even harder to stay afloat in the online realm.

All is not lost, though!

With powerful programming languages like Python, you can automate your technical search engine optimization (SEO) tasks and stay ahead of the competition. To put this into perspective, big companies like Google, Netflix, NASA, and Spotify have acknowledged Python’s contribution toward their growth.

This sends a clear message that online businesses with automated systems have an edge over those without them. Python can help you automate repetitive SEO tasks and save time without sacrificing results. Ideally, the possibilities of Python and SEO are endless.

In this article, you’ll learn what Python is, and 6 ways you can use it to boost your SEO efforts. Let’s cut to the chase!

What Is Python?

Python is an open-source, multipurpose programming language developed by the mathematician Guido Van Rossum and released in 1991. You can implement Python in pretty much any area that involves the use of data, mathematical computation, or lines of code. It is a little wonder that it supports the world’s largest community of developers.

Unlike Java, for example, Python is not restricted to software and web development alone. It can be used for data analytics and extraction, machine learning, language processing, and so much more. Because it’s a multi-paradigmatic programming language, Python is capable of being functional, structural, or object-oriented. When learning about coding with Python, some of the basic functions and processes you’ll start with include Python comment, Python interpreter, Python strings and Python lists to name just a few.

Python is the most versatile of all programming languages in the world. It can run on several ecosystems, including voluminous UNLX alternates like Windows, Linux and macOS. Despite starting out as the mathematician Rossum’s hobby project, the language now backs the most popular applications from giant companies like Google, Microsoft and IBM.

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Fun Fact: The name Python has nothing to do with the serpent. Rather, it’s the result of a Python developer being an avid fan of Monty Python movies!

6 Ways to Automate Your SEO Campaign Using Python

As mentioned earlier, Python has the ability to automate labor-intensive, repetitive tasks and potentially save you a great deal of time. Automating low-level SEO tasks with Python enables you to focus your energy and expertise on other SEO elements that call for more lateral thinking and experience. That said, here are the 6 possibilities of Python and SEO:

Performing URL Mapping

It’s common for links to break when you move your site to another address. Broken links direct users to an error page, thus affecting their surfing experience. Luckily, you can use Python to automatically map URLs and correlate links from the old addresses with new addresses.

Sure, you can delete broken links from Google search pages and solve the problem right off the gate. But then again, this may cause inconveniences or even lead to business losses. Python offers a practical and automated way to perform this mapping and manage large volumes of pages without fuss.

Creating XML Sitemaps

XML sitemaps are files that list your site’s important pages so that search engine crawlers can find and index them. Ideally, you want Google to crawl all your site’s most important pages. While there are several free tools to let you create XML sitemaps, most of them are limited to 500 URLs or so.

If you have a large website that needs to be indexed faster by search engines, Python is the solution. The tool can help you create custom XML sitemaps for SEO. It consolidates the most essential pages of your website and then transmits them to Google Search Console.

SEO Analysis

SEO Analyser is Python-based software that can help in your digital marketing endeavor. The program is coded to analyze critical SEO elements of the content on your website. This tool can offer insights into:

  • Content quality
  • Content structure
  • Title tags
  • Meta descriptions
  • Keyword usage
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Basically, what Python SEO analyzer does is ensure your content is easy to read, engaging, and has no repetitive phrases. It also takes care of metadata optimization and keyword usage. This, in turn, enhances the organic performance of your site.

Optimizing Image Files

You already know that your website’s loading speed can affect the user experience. Python can help you reduce image file sizes without compromising quality. Optimized images increase page load speed, which is good news for your search rankings.

With a Python script, you can decide to compress images across your entire website. This is great if your site contains a lot of pictures. What’s more, Python can also automate the process of adding subtitles to images. This helps optimize SEO for visual marketing.

Searching for HTTP 404 Errors

The 404 Not Found, 404 Error, or Page Not Found is a standard Hypertext Transfer Protocol (HTTP) response code indicating that the requested resource cannot be found. In other words, this error message means the browser can communicate with the website hosting server, but the server cannot find what was requested.

404 errors occur when a user clicks on a broken or dead link. It’s very important to resolve the 404 error to prevent users from bumping into dead ends. You can use Python’s Beautiful Soup library to identify a 404 error. That way, you’ll be able to correct the error and optimize the user experience.

Performance Improvement

Python has a unique script whose main purpose is visibility benchmarking. It compares your site’s current visibility against the competitors before providing practical insights for improvements. This is important if you want to rank higher for your profitable keywords.

With the help of Python tools, you can easily identify issues that are harming your site and interfering with the user experience. This will help you fix the issues and optimize your site’s global performance. Needless to say, Python can help you dominate your competition.


As we have just seen, automating your tedious SEO tasks with Python opens a whole new world of opportunities and better results. It helps you identify and mitigate common errors, ultimately improving your SEO strategy. In short, there is great potential for Python and SEO.

Have you started using Python to automate your SEO campaigns? If yes, how has your experience been? Please share with us in the comments below!

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