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Introduce yourself to Python for technical SEO

Python - Webroas

In this digital age, every business needs to be present on the web to reach out to their customers. As web usage increases day by day, your website's SEO can no longer rely only on traditional methods like keyword-stuffing, backlink buying, and content marketing. Along with traditional methods, SEO needs to use data-driven and UX focused content to improve searchability and stand out in this cutting edge competitive world. With this in mind, Python for technical SEO has garnered special attention from the SEO community. Python is easy to use and helps automate repetitive SEO tasks.Having a brief understanding of languages like HTML, CSS, and JavaScript can help in learning python much faster.

Python overview

Python is an object-oriented scripted language that is very powerful, fast and open-source. It is a general-purpose language that is used by many major organizations like Google, Netflix, YouTube, NASA, Spotify, and IBM as an important part of their growth. Python is widely used in areas where complex algorithms are needed such as data extraction, preparation and analysis, scientific computing, natural language processing, machine learning, deep learning, and artificial intelligence.

Some of the factors that led to a growth in the popularity of Python in SEO are:

Ability to understand data better.

Allows us to make data-driven decisions simpler and superior.

Provides concrete insights on further improvements.

These will, in turn, generate more confidence amongst clients to implement recommendations.

Technical Seo Services

How python is useful for technical SEO

SEO is all about understanding and analysing the right metrics to increase both organic and inorganic traffic toyour website. Core concepts of SEO are data extraction, preparation, analysis and visualization of the website traffic, keywords, meta tags, broken links and missing descriptions. Python just not enables to automate repetitive tasks but also helps with extracting and analysing large data sets. It effectively solves many complex problems in a short period.

Python automation

Python is an amazing programming language that helps develop tools for SEO. Some of the applications that use Python for SEO are:

Python SEO analyser- SEO Analyzer analyses the structure of a website from homepage to XML sitemapby crawling and reports general SEO related issues. It displays data including word count, page titles, and meta descriptions as well as warnings for missing titles, meta descriptions and alt text.

Broken link checker- This plugin goes through the website and reports all the broken links. Thisis helpful for websites built on third party sites like WordPress, Wix, Shopify etc.,

Calculate keyword growth using google trends and python- Provides API for bulk keyword search using Google trends. Saves a lot of time in identifying the appropriate keywords.

Google webmaster tools data with python- Google Webmaster Tools reports search queries that are important with the ominous mask hiding 25%-40% of referred keyword traffic in Google Analytics. WMT data is made available by google through an open-source Python library, making it easy to transfer data to your desktop or google drive.

Mozscape- Mozscape deals with important metrics like domain authority and page authority which will improve SEO rank. This application grabs data from the Mozscape API.

Google page speed insights- More number of URLs may considerably increase the running time of your website. Going through each and every URL available is very time-consuming. This plugin goes through all the pages of the website and plugs them directly in to the Google page insights which relatively saves a lot of time for SEO Professional.

Python web scrapper- This tool parses through the page, locate SEO contributing content factors (metadata, < p > tag content, images, title tags) and formats them onto either an Excel spreadsheet or text document in a matter of minutes.

Image optimizer- The website’s load time has a direct impact on site performance and SEO rankings. The image optimizer reduces the size of the file and in turn, reduces the storage space of the page. Additionally, this reduces storage space taking lesser bandwidths which can also reduce hosting prices.

Pythia image captioning- Pythia is the first script which is a modular deep learning framework created by Facebook. It generates a caption for an image URL. This caption can be used for images currently missing important alt tags for accessibility and image search. The script is easy since it can be run straight from Google Collab drive and requires no direct coding. It will automatically complete all of the steps that would typically need to be manually undertaken.

Python Programming

Python libraries

Python has a wide range of libraries making a developer’s job much easier as all the complex functionalities are pre-programmed. Here are few such libraries which could be helpful in the SEO domain:

Tensor flow- Dataflow and differentiable programming across a range of tasks.

Pandas- Data manipulation and analysis.

SciKit learn- Machine learning.

SciPy- Data manipulation and analysis.

NumPy- Multi-dimensional arrays and matrices for high-level mathematical functions.

SpaCy- Advanced natural language processing.

Requests- Makes HTTP requests simpler and more human-friendly.

Selenium-requests- Cookie and request header handling.

BeautifulSoup- Parsing HTML and XML documents.

Time- Time-related functions.

urllib- Package of modules working with URLs.

Re- Regular expression operations.

matplotlib-API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+.

minidom- Document object model implementation.

nltk- Natural language tool kit.

Utilise various other possibilities as well

This is justscratching the surface. Python scripts have several other automation and optimization possibilities. Some of them are listed here:

Log file analysis.

Internal linking analysis.

Keyword growth calculation.

Hreflang validation.

Performing competitor analysis.

Collecting GSC data.

Scripts from Python can be utilised to automate a large number of tasks that are time-consuming. Python powers scripts for training data sets before visualizing and summarizing. Possibilities of using python in the SEO domain are endless with such powerful and most general programming language.This will help analyse complex data in order to increase efficiency.

Our SEO team at webroas is well versed in SEO and PPC. Visit www.webroas.com or shoot us an email at hello@webroas.com for further info.

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