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Giedrius Šteimantas

Director of Scraping Engineering @ Oxylabs

Giedrius has been in tech since he was 16, when he sold his very first software project. While he was studying business in Denmark, he started several companies and ran a software agency that built solutions for banks, industrial robotics firms, and real estate companies.

Today, he leads the largest engineering team at Oxylabs and looks after all of its scraping products. It's a job that mixes the pressure of running things at a huge scale with a constant push to keep innovating and stay ahead of everyone else in the market.

Where AI Actually Helps in Production Scraping

When people picture AI in web scraping, they imagine it doing the scraping itself: reading a page and pulling the data out. That's not where the real value showed up at Oxylabs: in its pipelines, AI never touches the extraction. Instead, it works around it – keeping access reliable at scale, helping parsers adapt as sites shift underneath them, and giving the engineering team room to move faster.

The pipeline stays in control, and AI quietly makes every part of it run better. After Giedrius' talk, you'll leave with a clearer picture of where AI belongs in a real scraping operation, and it's probably not where you'd expect.