Have you ever heard of using Python for SEO? If you are interested, stay with us to learn more. Python has become extremely popular lately, largely due to its wide range of possible implementations.
For example, Python can be used for web development, APIs, implementing artificial intelligence and machine learning algorithms, automating boring tasks and processes, and more. Usually, companies hire Python developers to do this. Still, if you have a technical background, you can try doing it yourself.
Why Use Python for SEO?
Python is great and popular, and the web is filled with articles about it. In this short article, we want to focus on how Python development affects SEO and how Python is used. From an SEO perspective, Python is great because it can analyze large amounts of data and automate processes.
This means that SEO professionals who use Python save a lot of time, which, in turn, makes them more productive and successful. Sometimes it can help you get much better results, because you can process a lot of data that you wouldn’t be able to process manually or in any other way.
What Exactly Can I Use Python For?
You can do a wide range of SEO tasks and processes with Python. To make this article valuable for our readers, let’s explain everything with examples. So, we’ll provide you with the most common Python usages for SEO. Then, you’ll be able to decide if Python is really worth learning if you are an SEO specialist.
Use Python for URL Mapping
SEO experts sometimes use redirects to redirect users to the correct URL and page. This usually happens when a new version of an old page is launched or when the website is redesigned and adopts a new architecture.
This process doesn’t sound complicated, but it actually is, especially if done manually. There are lots of mistakes that can be made, and it’s a repetitive task. Meanwhile, with Python code, you can automatically create a module to help with this mapping.
Also Read: Best URL Shortener Tools
Use Python for Keyword Research
Keyword research is a vital part of any SEO Content strategy. It’s usually a comprehensive process that defines a website’s future architecture and content. With the help of emerging machine learning algorithms, it’s possible to categorize keywords into groups and divide them by intention.
Thus, instead of clustering keywords manually, you can use Python programming to do the major keyword research part automatically. Eventually, this would help you save a lot of time and money on your SEO strategy. It’s also possible to automatically analyze top SERP results and competitors to better understand which keywords and pages you should target first to get results faster.
Use Python to Check Links and Pages
We have mentioned that Python can be used to analyze a lot of data. In this case, Python modules would be used to extract it. You can easily find broken links on your web pages by using modules and scripts that help you crawl a website or its XML Sitemap.
Eventually, you’ll get a full list of URLs with status codes, and you’ll be able to sort out all the broken links on your website. Moreover, you can also use Python scripts and modules to outline the count of external and internal links, find links to images without alt tags, and much more. Additionally, you can employ Python to scrape dynamic websites, allowing you to gather data from pages that load content dynamically through JavaScript or AJAX calls.
Also Read: GenYouTube – YouTube Video Downloader
Optimize Images With Python
These days, it’s pretty clear that a website needs to load quickly. Various factors that you should consider are images and other media. For example, if you want your website to load quickly and look nice, you would need to optimize your images and other media. There are plenty of ways to do this.
With Python, you can compress and optimize images without losing quality. There is no need to write your own script because they have already been written. Find one you like more and use it. Remember, the quality of your media and your loading speed directly affect your rankings. By the way, here are some website optimization tips.
Improve Your Website Rendering
Modern web development is outstanding because you can build a website with a responsive and intuitive design that your audience will love. In most cases, this is impossible without JavaScript. You should know that before you can see this dynamic content, it must be rendered.
It’s also worth mentioning that Google indexing is a two-step process. When a crawling bot first sees your page, it doesn’t render it; it only renders it when it has the capacity and resources. Thus, it’s better to know how your page is indexed with and without rendering.
Using Python programming and a crawler like Screaming Frog, you can analyze the difference between rendered and unrendered pages. This would help you understand how Google sees it for the first time (without rendering). Thus, if these two versions differ significantly, it’s recommended that you fix them.
Also Read: Best AI Tools for SEO Professionals
Conclusion
There are many ways Python can improve SEO. We didn’t include them in this article, but we have provided enough examples to realize how beneficial Python skills can be for SEO specialists. In most cases, you don’t even need to master Python programming to do these things, and it’s enough to understand how it works. You can find many scripts and modules that have already been created and do precisely what you need them to do.
If you are not using Python to automate your SEO, don’t hesitate to start. You might not need this right now because your website is small and easy to SEO. Still, you’ll probably end up looking up blog posts like this in the future. Moreover, an SEO specialist skilled in Python programming is in high demand and commands a high price.
