An automated technical SEO scanner is a software tool that automatically analyzes a website’s technical aspects, which are critical for search engine ranking and visibility. It systematically checks elements such as:
Whether all links work correctly and redirects are properly set up
Page titles, metadata, and content uniqueness
Website speed and performance metrics
External backlinks and crawl errors
How to Conduct a Technical SEO Audit?
To conduct a technical SEO audit, follow these key steps to identify and fix issues that affect your website’s search engine performance and user experience:
Check Crawlability and Indexability: Ensure search engines can access and index your important pages.
Analyze Website Structure and Internal Linking: Review your site’s architecture to ensure it has a clear, logical hierarchy that guides users and search engines.
Audit Site Speed and Core Web Vitals: Measure page load times and user experience metrics such as Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS). Optimize images, leverage caching, and improve server response times to boost performance.
Check Mobile-Friendliness: Verify your site is responsive and provides a smooth experience on mobile devices, as mobile usability is a ranking factor.
Verify HTTPS and Security: Ensure your website uses HTTPS to secure user data and build trust.
Identify and Fix Broken Links and Redirects: Scan for 404 errors, broken internal and external links, and improper redirects (e.g., redirect chains or loops).
How does an automated SEO scanner work?
An automated SEO scanner works by systematically crawling and analyzing a website’s technical SEO elements, much like a search engine bot would. It automates the process of identifying issues that can affect search rankings and user experience. Here’s how it typically operates:
Crawling the Website
Detecting Crawl Errors
Checking for Broken Links
Analyzing Site Speed and Performance
Assessing Mobile Usability
Generating Reports
Real-Time Monitoring and Alerts
Automation and Integration
What are we going to build?
In this article, we are going to use n8n to automate the technical SEO scanner of a site, focusing on the Site Speed and Performance. We provide the sitemap URL, n8n loops through each link, and using the PageSpeed API, we get key metrics of the site performance and save it in a Google Sheet.
In future article we integrate AI agent with this tool to automated metrics analysis and possible fixes.
In this step, we are adding a scheduled trigger to run every midnight, make a GET request to the Sitemap URL, convert the sitemap XML to JSON, and processing the response to only get the URLs.
Schedule Trigger Node
Clear Google Sheet Node
Create a Google Sheet with the following Header,
Link Google Sheet with your n8n instance and add a clear sheet node
HTTP Request Node
Let's add an HTTP Request node to enter our Sitempa URL there
XML to JSON Node
After pulling the sitemap XML to work with this data, let's use XML to JSON node
Code Node
In this node, we are going to sanitize the sitemap JSON to only return URLs. Add a new node to run return $input.first().json.urlset.urlonce for all items
Step 2: Update the Sheet with URLs
In this step, we are entering all of the URLs into the Sheets, so in the next step, we will read them one by one and get the performance metrics for each URL.
Let's add a new branch after the previous code node we created, and add an append row in sheet node to it
The settings of the node should be as follows
Step 3: Get PageSpeed Metrics for URLs
In this step, we loop over each URL, send the URL to the PageSpeed API, and add each page metric to the Google Sheets.
We will use a batch of 1 URL and add a wait node with a 5 seconds delay at the end so we don't hit the rate limit of the PageSpeed API.
Loop Over Node
HTTP Request Node
Add a new HTTP Node to make a GET request to https://pagespeedonline.googleapis.com/pagespeedonline/v5/runPagespeed?url={{ $json.loc }}&strategy=mobile&category=performance&key=YOUR-API-KEY
Don't forget to add your api key to the URL.
Update Sheet Node
Add a new Sheets node to update the Google Sheets, using the URL as a column to match on and map each metric to the Sheets column.
Don't forget to map all columns
Wait Node
Add a Wait node with 5 seconds waiting interval.
Full Workflow
FAQs
How often should I run automated technical SEO scans?
You should run automated technical SEO scans at least once every month to catch and fix issues early, maintaining your website’s health and search rankings
Technical SEO Checklist for Beginners
Set Up Google Search Console and Bing Webmaster Tools
Set Up Google Analytics
Create and Submit an XML Sitemap
Ensure Your Website Uses HTTPS
Check for Duplicate Site Versions and Set Proper Redirects
Fix Crawl Errors and Broken Links
Improve Site Speed and Core Web Vitals
Make Your Website Mobile-Friendly
Optimize Robots.txt File
Implement Structured Data (Schema Markup)
Create a Clear Site Architecture and Internal Linking
Regularly Perform Technical SEO Audits
Conclusion
In summary, an automated technical SEO scanner is an invaluable tool that simplifies and accelerates the process of identifying technical issues that affect your website’s search engine performance and user experience. By systematically crawling your site and analyzing critical factors such as crawlability, site speed, mobile-friendliness, and broken links, these scanners provide actionable insights that help maintain and improve your site’s SEO health.
Conducting regular technical SEO audits—whether manually or through automation—is essential to ensure your website remains optimized and competitive in search rankings. With tools like n8n and Google PageSpeed API, you can even automate parts of this process to monitor site performance continuously and efficiently.
As SEO evolves, integrating AI and automation into your technical audits will become increasingly important, enabling faster diagnosis and smarter fixes. Start leveraging automated SEO scanners today to keep your website technically sound, improve visibility, and deliver a better user experience.
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