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5.2. Automate SEO Tasks

Spending too much time on repetitive SEO tasks? This section features practical resources to help you streamline and automate SEO tasks within your workflow. Whether you’re just getting started or looking to improve your current setup, you’ll find clear guides, useful scripts, and step-by-step tutorials.

From keyword research and rank tracking to audits, reporting, and technical checks, these materials walk you through common automation use cases. Learn how to use tools like Python, BigQuery, SQL, RegEx, JavaScript, R, and AI to build workflows that save time and reduce manual work. Explore real examples and get started building automation into your SEO process today.

Python for SEO

An Introduction To Python & Machine Learning For Technical SEO

Guide from Ruth Everett / Search Engine Journal

Python for SEO: Complete Guide (in 6 Chapters)

Checklist from JC Chouinard

How to Use Python to Analyze SEO Data: A Reference Guide

Guide from Hamlet Batista / Search Engine Journal

Data Science and Visualization for SEO: Retrieving SERP, Crawling Landing Pages, and Analyzing Google Algorithms with Python

Guide from Koray Tuğberk GÜBÜR

Agency Automators’ SEO How-Tos Videos

Video from Agency Automators

SEO Pythonistas: Python SEO Contributions from Hamlet & Python SEO community

Resources from SEO Pythonistas

BigQuery & SQL for SEO

How to Leverage SQL for SEO Automation

Guide from Cody West

BigQuery & SQL for SEOs

Presentation from Areej AbuAli

How to Use BigQuery for Large-Scale SEO (Or Whenever Excel Fails)

Guide from Dominic Woodman

R for SEO

R for SEO – The Cookbook

Guide from François Joly

Using R for SEO – Survival Guide

Guide from Rémi Bacha

Visualizing Google Analytics Data with R for SEO Purposes

Guide from Utku Demirhan / ZEO

Keyword Clustering for SEO with R

Guide from Journey to Data Scientist

Advanced R programming for technical SEO : DIY Strong SEO Crawler with Sparkler

Guide from Vincent Terrasi / Data-SEO

App Scripts for SEO

Apps script for SEOs

Presentation from Dave Sottimano

Data pipeline table with Google Sheets + Apps Script

Video from Noah Lerner / Agency Automators

Automated Intent Classification Using Deep Learning in Google Sheets

Guide from Hamlet Batista / Search Engine Journal

RegEx for SEO

Beginner Guide To Regex For SEO

Guide from JC Chouinard

Principles of Regular Expressions for an SEO

Guide from Tomek Rudzki / Onely

Regular Expressions for SEOs and Digital Marketers [with Use Cases]

Guide from Alyona Petrukhina / Netpeak Software

Regular Expressions for Regular Joes (and SEOs)

Presentation from Paul Shapiro

URL Regex Builder

Resources from JR Oakes

Regular Expressions for Regular Joes (and SEOs)

Presentation from Paul Shapiro

Regex for Marketers: Plain English, Real World Examples [VIDEO]

Guide from Annie Cushing

JS for SEO

How to Use JavaScript to Automate SEO (With Scripts)

Guide from Jose Hernando / Search Engine Journal

Build a Chrome extension to automate a part of your routine

Guide from Antoine Eripret

How to install Node.js and setup your laptop for JavaScript SEO Automation

Guide from Jose Hernando

Finding SEO opportunities through rising trends & Node.js

Guide from Nacho Mascort

Extracting Index Coverage Report Stats in Bulk from Search Console using Node.js

Guide from Jose Hernando

NodeJS SEO Scraper

Guide from Nacho Mascort

AI LLMs & Chatbots for SEO

AIPRM for SEO: Extension with SEO Prompts

Extension from AIPRM

ChatGPT for SEO: 20 Ways to Leverage ChatGPT in your SEO Activities

Guide from Aleyda Solis

24 Experts share how they are using ChatGPT to help with SEO efforts

Guide from Matt Tutt

Why SEO Pros Need To Master Prompts: The ChatGPT Revolution

Guide from Vincent Terrasi

Some Cool SEO Uses For ChatGPT

Guide from Andrew Shotland

5 Powerful ChatGPT Prompts for Technical SEO

Guide from Joe Hall

ChatGPT for SEO: Leverage Generative AI To Outperform Your Competitors

Guide from Emilia Gjorgjevska

AI Content is not the SEO threat they want you to think it is

Guide from Mike King

AI Prompts: Using the 5Ws & The H and A Free Generator for Digital Marketing & SEO in Google Sheets

Guide by Aleyda Solis

Machine Learning for SEO

Machine Learning for SEO with Lazarina Stoy and JC Chouinard

Video by Crawling Mondays

Machine Learning for SEO: How to Get Started

Guide by Lazarina Stoy

Machine Learning for SEO

Guide by JC Chouinard

A guide to machine learning in search: Key terms, concepts and algorithms

Guide by Dave Davies

Machine Learning For Seo: How To Improve Seo With AI

Guide by Andrea Volpini

Machine Learning for Marketers

Guide by iPullRank

Frequently Asked Questions About SEO Automation

Which SEO tasks are best suited for automation?

The most effective automated SEO tasks include keyword research, rank tracking, technical audits, XML sitemap generation, meta tag analysis, and SEO reporting. These repetitive processes benefit most from automation because they follow consistent patterns and require regular updates. Start with simple tasks like automated reporting before moving to complex workflows like content optimization or link analysis.

Is knowing how to code in a programming language like Python required to automate SEO tasks?

While Python is popular for SEO automation, you have many options. Google Sheets with Apps Script offers free SEO automation for beginners, while JavaScript, R, and SQL provide powerful alternatives. AI tools and no-code platforms also help you automate SEO tasks without extensive programming knowledge. Choose based on your technical skills and specific automation needs.

How long does it take to learn SEO automation?

You can start automating basic SEO tasks within days using pre-built scripts and tools. Learning to create custom automation typically takes 2-4 weeks of consistent practice with resources like Python tutorials or Apps Script guides. Most SEO professionals see significant time savings within their first month of implementing automated workflows.

What's the difference between SEO automation and AI-powered SEO?

SEO automation focuses on scripting repetitive tasks like data collection and reporting, while AI-powered SEO uses machine learning to analyze patterns, generate content, and make predictions. Both complement each other—automation handles routine tasks while AI provides insights and recommendations that require pattern recognition and decision-making capabilities.

The SEO Learning Roadmap

Take a look at the SEO learning roadmap below, featuring the different areas, from the basics of SEO, to the most common activities and phases of the SEO Process:

1 SEO Fundamentals

Start learning SEO with the fundamental concepts and areas, why they're important, and the basics to execute them: keyword research, content optimization analysis, technical optimization and link building.

Introduction to SEO

Keyword Research

Competition analysis

Content optimization

Technical optimization

Link building

2 Execute an SEO Process

Once you know the main SEO concepts, it's time to put them in practice by learning to develop an SEO process, from establishing a strategy and setting goals to management, measurement, and reporting.

Establishing an SEO Strategy

Setting SEO Goals

Measuring SEO

Reporting SEO

Developing an SEO Audit

Getting SEO Buy-In

SEO Process Management

Common SEO Execution Mistakes To Avoid