How Python Can Boost SEO Performance
Python is an object-oriented programming language which has huge scalability in domains such as machine learning, data visualisation, natural language processing, etc. With the boom in search engine optimization, python has paved the way in automating such tasks as well. How python boosts it is by implementing your own script easily to perform a certain action and tweak it according to your data needs. Data equivalent to gold in SEO and hence data analysis is important and critical hence python scripts can automate these time-consuming tasks. This list of tasks you can automate with Python is growing continuously:
-Identifying user intent.
-Mapping URLs ahead of migration.
-Internal link analysis.
-Performing keyword research.
-Optimizing images.
-Scraping websites.
One can find various scripts on GitHub such as SEO Analyser Script by Seth Black which is used to analyze the structure of a site by crawling it and providing an analysis of the basic SEO issues.
For keyword ranking and recommendation,PyTrends, MatPotLib are some libraries one can use to automate the keyword ranking and positioning. These can be used to find the audience's interest in particular search terms over time. When you have a huge number of webpages on your domain, how would you test each one of them? It’s a very time-consuming process that can be automated by Python libraries like Selenium, Pandas, BeautifulSoup.
It’s very difficult to keep your eyes on competitors all the time for their updates and launches. Python makes your repetitive tasks automated like fetch the details of your competitor’s services and products to monitor. Even for visualisation and graphs of all sorts python libraries like Pandas or Keras can be used. Visualisations are important for comparative studies between you and your competitors or even a graphing the traffic on your pages over time. Organisations have started using python to automate tasks while using less manpower and increasing time efficiency thereby enhancing their SEO.
