Leveraging AI for Large-Scale Scraping and Parsing

Choosing the right scraping parameters and setting up a robust parsing infrastructure are massive challenges that can consume weeks of development time. Developers often find themselves buried in tons of documentation trying to figure out the best approach. However, there's a quicker and better way, and we are happy to share it with you. 

Join our upcoming webinar on March 19, where Andrius Kūkšta, R&D Engineer at Oxylabs, will explore how artificial intelligence is revolutionizing how we approach web scraping and parsing challenges.

Why attend this webinar?

This webinar is specifically designed for developers and data engineers looking to optimize their scraping operations and streamline their parsing infrastructure. Here's what you'll learn:

• Master proven strategies for overcoming key scraping and parsing challenges while significantly reducing your development time;

• Get an in-depth look at OxyCopilot, our free AI-powered assistant, and explore its capabilities from basic to advanced setups;

• Learn practical approaches to implementing generated instructions for large-scale operations using the Scheduler feature.

Meet the speaker

Andrius Kūkšta brings over seven years of expertise from his role as an R&D Engineer at Oxylabs. His journey from building web scrapers and parsing tools manually to pioneering AI-driven solutions makes him uniquely qualified to guide you through this technological evolution. Currently, Andrius leads the development of OxyCopilot's AI-driven parsing system, focusing on applying Artificial Intelligence and Machine Learning to revolutionize web scraping operations.