How to Use Python to Recover SEO Site Traffic?
Python is all about automating repetitive activities, which allows you to give greater attention to SEO initiatives.
Python can also analyse data provided by your site, such as who the users are, where they log in from, when they are most active, what they view, what they buy, and so on.
You've probably heard of SEO analyzers. They crawl the website and offer comments. SEO Analyzer was built in Python and is available on GitHub.
Python SEO Analyzer
Images use a lot of space. A typical JPG image is at least one megabyte in size. So use Python to optimise images.
An SEO analyzer can inform you if you lack alt-text, but it cannot compose it for you. Pythia is a system that became open source in 2019.
Users are redirected from one URL to another using redirects. The Python script will scan your website and categories the URLs.
Internal linkage tends to favour specific pages. Internal connecting draws attention to and emphasises these sites.
Internal Link Assessment
Python makes it very simple to discover the correct keywords.
Save all of the Google Suggest findings in a JSON file.
All you have to do is change the code with the sitemap of the website you want to test, and then execute it. scans a page and looks for 404 errors.
404 page found
Screaming Frog is one of the most essential tools in any SEO's armory, and this script can help you take it to the next level.
8. Use Screaming Frog
The astounding truth is that the majority of it has already been completed and published on sites like GitHub. All the Python coder you employ needs to do is tailor it to your website.
Using machine learning technologies like Pythia in SEO is just the beginning. In the future, content quality assessment will almost certainly employ Python-based ML tools.