How to Utilize Machine Learning for Better Web Scraping

Rule-based web scraping, where the slightest website layout tweak can derail your scraping efforts, can become a real headache. Luckily, there’s a solution, and we at Oxylabs will gladly share it with you during the upcoming webinar “How to Utilize Machine Learning for Better Web Scraping.” 

Join us on March 13th for an insightful session with Tadas Gedgaudas, a seasoned developer at Oxylabs, to discover the transformative power of machine learning in web scraping. Tadas will delve into the intricacies of ML-based parsing, shedding light on integrating large language models like ChatGPT into the web scraping landscape.

Why attend this webinar? 

This webinar is a crucial resource for developers and decision-makers, illuminating how ML-powered parsing streamlines processes, significantly cuts down on maintenance, and transforms websites into structured data. It's a must-visit if you want to explore the nuances of organizing data with and without ML and see a comprehensive demonstration of integrating ChatGPT with the Oxylabs Web Scraper API for web page extraction and parsing without the need for custom tools.

Meet the host

Meet our host Tadas. From the very beginning of his software development career, he focused on web data extraction. In fact, his very first project was a web scraper.

As a web scraping engineer, Tadas is product-minded and, one could say, obsessed with making software as performant as possible. In turn, he practices productivity tracking and even dedicates his pastime to crafting an open-source ML-powered data parsing library.

Key details summed up

• Format: Online webinar

• Date and time: March 13th, 2024,  2 PM GMT. 

• Watch on demand. 

Don’t worry if you can’t attend the webinar - register now to get an on-demand video recording right after the event. 

See you on March 13th!