With 20 years of SEO experience and a unique academic background in history focusing on crowdsourced tagging systems for digital archives, Ramon Eijkemans saw potential in Apify before most others in the industry. As the founder of Eikhart, he became one of the platform's earliest adopters, recognizing its ability to solve persistent challenges in SEO automation.
"I’ve been using Apify since the day it started, literally. Me being a fan of it started the same day."
-- Ramon Eijkemans
His journey with Apify began while working as a "big-site SEO" freelancer for corporate websites. He encountered a common frustration: many of these websites used JavaScript, but most crawlers at the time couldn’t crawl it. While many SEO professionals relied on desktop scrapers like Xenu, Ramon needed something more sophisticated for these dynamically rendered websites.
A technical breakthrough
The limitation was clear - traditional tools failed when content loaded dynamically. Also, they were usually targeted at common use cases for SEO specialists and provided best practices for common SEO tasks in a nice presentation window. Useful in many cases for sure, but mostly a manual start-and-stop process, with limited data-exporting possibilities and very few custom automations.
In this case, Ramon discovered Apify's unique ability to wait for specific elements to appear on a dynamically rendered page, a feature that proved transformative for his work and his clients. This capability allowed him to capture JavaScript-rendered content that other tools missed, for example, internal search engines where content loads asynchronously.
This versatility became central to Ramon's approach. While individual tools might excel at specific tasks and common use cases, Apify's broad capability set enabled him to tackle complex automation challenges that would otherwise be very hard to build on your own.
Pioneering new applications
Ramon's latest innovation is a "helpful content issues finder", built with Apify. The system extracts internal search results from websites, which are usually rendered with externally loaded JavaScript. This approach generates precise statistical insights that feed directly into content quality metrics and SEO analysis tools.
Scaling link-building automation
Perhaps his most impressive implementation is a monitoring system that monitors 550 domains weekly for link-building campaigns. The system automatically identifies whether precisely targeted dofollow links to product pages are placed or updated according to specific SEO requirements. What was once a manual process now generates organized data that non-technical account managers use to verify product page links and partnership opportunities.
Technical evolution
Ramon's early adoption of Apify shaped his approach to SEO automation. When analyzing websites with problematic content, he uses Apify to systematically measure and quantify issues. This methodical approach creates priority grids for SEO improvements, a technique refined through years of platform experience.
Looking ahead
Today, Ramon continues pushing the boundaries of what's possible with Apify. The platform's cloud-based, API-controlled, JavaScript-focused architecture aligns perfectly with his vision for professional SEO execution through automation. As machine-to-machine data processing becomes increasingly central to SEO, Ramon's pioneering work demonstrates how early recognition of powerful tools can lead to innovative solutions in technical SEO.
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