Choosing the right web scraping parameters can make or break your large-scale data collection efforts. To make informed decisions, developers need to study extensive documentation - an exhausting and time-consuming process. And this is only half the battle, as you also need to set up a smart parsing infrastructure that can quickly adapt to layout changes.
If these challenges resonate with you, join our upcoming webinar happening on March 19th. Andrius Kūkšta, R&D Engineer at Oxylabs, will demonstrate how OxyCopilot, our free AI-powered assistant, can dramatically reduce your development time. During the webinar, you'll discover:
➡️ Proven strategies to overcome key web scraping and parsing infrastructure challenges while saving valuable development hours;
➡️ A comprehensive look at OxyCopilot's capabilities, from simple environments to advanced use cases, including schema adjustments, field additions, and more;
➡️ Practical guidance on using generated instructions for large-scale web scraping and parsing with the Scheduler feature.
Secure your spot now to gain exclusive access to the latest industry developments! Can't attend the live session? Register anyway—we'll send you the complete webinar recording afterward.
Presenter
Andrius Kūkšta
R&D Engineer @ Oxylabs
Andrius has been working at Oxylabs for over seven years, during which time he has worked on various projects and with different products. He spent a significant amount of time building web scrapers and parsing tools, gaining hands-on experience in doing it manually. Now, his primary focus is applying Artificial Intelligence and Machine Learning to different areas at Oxylabs, with a particular emphasis on the AI-driven parsing system used under the hood in OxyCopilot.