Python is an amazing programming language that will help you become better SEOs.
You can use python for SEO by dropping your reliance on Excel and stop using spreadsheets, by leveraging APIs, by automating the boring tasks and by implementing machine learning algorithms.
This is a true beginner to expert guide to learn Python for SEO.
In this tutorial, you’ll learn Python from the absolute basics to its advanced SEO purposes.
Chapter 1: Python Basics
Learning programming and data science is obviously good and gets you productive, but you have to put the effort to make it happen. As an SEO, here are some reasons why learning Python might be a good idea for you. Why learn Python
Experts share their favorite Python Tools, Scripts and give tips to help anyone who wants to learn Python For SEO. Read Python insights from Hamlet Batista, JR Oakes and more. How to learn Python
Anaconda is a Python distribution for data science and machine learning. With this guide, Learn everything you need to install Anaconda and get started with Python. Install Python with Anaconda
Master Python code, functions, and objects and develop the Python programming skills needed to use Python for Search Engine Optimization. Learn Python
Jupyter Notebook is the easiest tool to let your run Python code. It is free, runs on a browser, and easy to get started, even for beginners. Learn how to use Jupyter Notebook
Spyder IDE is an open-source integrated development environment. Another free tool you can use to run Python. Perfect application for those who prefer working with IDEs. Learn how to use Spyder IDE
Learn the top Python libraries that you should learn before you get started using Python for SEO. In this post, you will learn how to use NumPy, Pandas, Matplotlib and Seaborn. Learn Basic Python Libraries for SEO
Chapter 2: Technical SEO Challenges
Knowing how Google renders your website is critical to mastering your SEO performance. Using Python and Screaming Frog you can solve rendering problems on a large scale. Find Rendering Problems On Large Scale
Data manipulation is essential for Search Engine Optimization (SEO). This case study will help you improve basic data manipulation skills using Pandas. Recrawl URLs Extracted with Screaming Frog
Keyword cannibalization is a major issue on large websites that deal with lots of keywords. This post will show you how you can identify internal pages that compete for the same keywords using Python and Google Search Console. Find Keyword Cannibalization issues
Get BERT Score for SEO (by Pierre Rouarch)
Since Google has open-sourced its Natural Language Processing pre-trained machine learning model, SEOs have been all over the place. This simple API can be used to get the BERT score of a page for a specific Keyword. Get BERT Score for SEO
In this web scraping tutorial, you will learn how to extract SEO information from a website using Python Requests-HTML. You will learn how to extract meta tags, headings and broken links from a web page. Learn web scraping
How to use random user-agents when extracting information when using Beautifulsoup to grab the internal links for a web page. Learn to switch user-agent
How to create a sitemap.xml file using a simple Python script and split it into files with less than 50,000 URLs. Learn how to create XML Sitemap
In this post, I will show you how to parse a Robots.txt file and save it to Pandas Dataframe using Python. Learn how to parse robots
Keyword Density and Entity Calculator With the Knowledge Graph API (by Greg Bernhardt)
Keyword density is a useful tool in determining a web page’s identity. In this step-by-step tutorial, I’ll show you how to calculate the word frequency for each page and sitewide using Python. Learn to check Keyword density on your site
Forecasting Speed Improvements with PageSpeed API, Lighthouse and Python (by Daniel Heredia Mejias)
It is important to know which Pagespeed metrics are going to have a higher ROI and spot those quick wins. This post will show you how to forecast speed improvements with PageSpeed API and Lighthouse. Learn how to forecast speed improvements
Chapter 3: Automation With Python
Selenium is the perfect free browser automation platform and a very popular tool amongst SEOs. Learn how you can use Selenium to automate technical SEO tasks. Install Selenium With Python
Python Script Automation Using Task Scheduler (on Windows)
The task scheduler is a Windows-based tool that lets you schedule tasks to run on a schedule. As long as your computer is open you can run scripts daily, weekly, monthly with this app. Learn how to automate your Python Scripts
Python Script Automation Using CRON (on Mac)
Cron is the tool that let users run script, commands or software automatically on a specified schedule. Crontab is the file that lists the jobs that cron will be executing. Learn how to automate your Python Scripts using CRON
Tired of sending the same email over and over? Send email using Gmail and Python. Combined with the task scheduler, it is the perfect script to send weekly reports to your clients/boss. Learn how to send an email with Python
This guide will show you the easiest way to automatically backup your Google Search Console Data in MySQL using Python. Learn how to backup GSC Data in MySQL
Chapter 4: Use APIs With Python
Google APIs are amazing! Learning them is one of the most important things that you should learn when learning technical SEO. Learn how to connect to a Google API.
Google Analytics is the undisputed leader
SEO tool. This is the absolute beginner guide to help you connect to your Google Analytics API using Python. How to use Google Analytics API with Python
This tutorial is for SEOs that would like to use Google Search Console API with Python. This is the simplest way to learn how to make your first API call to the Google Search Console and Python. Make your first Google Search Console API call
With this Python script, I will show you how to extract Google Search Console data from a list of URLs. This is the perfect solution to get GSC data from URLs you have crawled. Extract GSC data from a list of URLs
This post will show you how you can automatically extract all your search traffic and all your keywords from Google Webmaster Tool using Python and the Google Search Console API. Get all your search traffic from Search Console
Learn how Python can show you subreddits that talk about a specific subject using the Reddit API and using Pushshift.io. How to use Reddit API With Python
Chapter 5: SEO Split Testing
In this guide, I will provide you with everything you need to set up your own SEO split tests with Python, R, the CausalImpact package and Google Tag Manager. Learn how to do SEO Split Tests
For SEO Split-testing, you need to create groups of pages. In this post, you will learn how you can set-up test and control groups for your SEO A/B tests. Create test and control groups with Python
With Google Tag Manager, you can modify meta tags, a very useful feature to set-up your own split-testing SEO experiment. Not-so reliable technique? How to set-up SEO Experiment with Google Tag Manager
CausalImpact is a machine learning package that lets you compare predicted data with actual data. Here is how to run CausalImpact for SEO Split-testing Experiment. Learn how to make an SEO experiment with CausalImpact
Other Useful Guides For SEO
How to Make a Twitter Bot With Tweetpy – By Miguel Garcia (external link)
Use Custom Search Engine with Python – by Elias Dabbas (external link)
Basic SEO Data Analysis With Python – by Hülya Çoban (external link)
Get the most out of PageSpeed Insights API with Python (by Daniel Heredia Mejias)
Python SEO FAQs
📙How to Learn Python for SEO?
🐍How to get started with Python?
⭐How to Automate SEO with Python?
This is the end of the guide on Python for SEO. Remember to share and link to this post if you enjoyed it.