Have you ever heard how to use Python for SEO? In case you are interested in this, stay with us to learn more. Python has become extremely popular lately, and its popularity is mostly related to a 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 simply hire Python developer 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 pay attention to how Python affects SEO and its use. In terms of SEO, Python is great because it can be used to analyze huge amounts of data and automate processes.
Basically, this means SEO professionals that are using Python simply save a lot of time which also means they are more productive and successful. Also, sometimes it can help to get much better results thanks to the fact that you can process a lot of data that you won’t be able to process manually or in any other way.
What Exactly Can I Use Python For?
There is a wide range of SEO tasks and processes that you can do with Python. To make this article valuable for our readers, let’s explain everything with examples. So, we’ll provide you with a few most common Python usages in terms of 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
From time to time SEO experts use redirects to transfer users to a proper URL and page. This usually happens when a new version of an old page is up, or the website is redesigned and has 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’s help, you can automatically create a module that would help with this mapping.
Use Python for Keyword Research
Keywords research is a vital part of any SEO strategy. Usually, it’s a comprehensive process that defines the future architecture of a website and its content as well. 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 KW research part automatically. Eventually, this would help to save a lot of time and money on your SEO strategy. It’s also possible to analyze top SERP results and competitors automatically to get a better understanding of which keywords and pages you should do 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 would help you to crawl the website or the XML sitemap of a website.
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 modulus to outline the count of external and internal links, find links to images without alt tags, and much more.
Optimize Images With Python
These days it’s pretty clear that a website needs to have a good loading speed. Among various factors that you should consider are images and other media. For example, if you want your website to load and look nice, you would need to optimize your images and other media content. There are plenty of ways to do this.
With Python, you can compress and optimize images without losing quality. There is no need to even write your own script because they have already been written, and just find one you like more and use it. Remember, the quality of your media and your loading speed has a direct effect on your rankings. By the way, here are some website optimization tips.
Improve Your Website Rendering
It’s also worth mentioning that Google indexing is a two-step process. When a crawling bot sees your page for the first time, it doesn’t render it, and it does it only when it has the capacity and resources to do so. 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 not rendered pages. This would help you to understand how Google sees it for the first time (without rendering). Thus, if these two versions have significant differences, it’s recommended that you fix them.
There are multiple things Python can do in terms of 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 a lot of scripts and modules that have already been created and do precisely what you need them to be done.
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 something companies would gladly pay a lot of money for.