How we automated performance testing using Google PageSpeed Insights

One of the biggest challenges in running a platform or any web app is maintaining performance with every update.
Manually testing performance after each change isn’t scalable — especially when you have many pages.

The solution

We built a Node.js automation script powered by Google’s PageSpeed Insights API.
Here’s what it does:

Iterates through all important pages (Home, Programs, Courses, Blog, etc.).
Requests performance reports from PageSpeed Insights.
Collects scores for the key categories:
- Performance
- Accessibility
- SEO
- Best Practices
Saves the results into a JSON file for historical tracking.

We also added a retry mechanism: if an API request fails, it automatically retries up to 3 times before logging the page as failed.

Benefits

Automated performance monitoring without manual effort.
JSON storage makes it easy to compare results across deployments.
Reduces the risk of unnoticed regressions in performance.

Conclusion

By combining Google PageSpeed Insights API with Node.js automation, we created a simple yet powerful performance testing workflow.
It ensures our platform remains fast, and compliant with web best practices over time.