The web is a dynamic place where web pages continually evolve to improve user experience. While these modifications make websites more appealing to users, it can become a bit of a headache for developers when gathering public web data. In moments like these, they turn to AI.

It comes as no surprise that AI is quickly becoming an indispensable tool for web data extraction. It shoulders the burden of tedious daily tasks – adapting to web page changes among many – by automating them. As a result, developers can focus on scaling up their operations and collecting data from thousands of websites simultaneously.

Karolina Šarauskaitė, Python Developer & Squad Lead @ OxySERPs, who talked about unlocking the most difficult web scraping targets with AI in a previous webinar, comes back again. This time, she’ll delve deeper into AI in web scraping by focusing on its uses for parsing e-commerce website data.

In the webinar you will:

- Learn how to streamline and uplift your scraping operations with the help of AI;
- Find out how to effectively automate the process of adjusting to website layout changes with adaptive parsing;
- Understand how ML-driven proxy management can help beat sophisticated anti-bot systems;
- See a practical demonstration of how Oxylabs’ AI-powered solution performs with different product page layouts.