Practical Guide to Web Data Solutions for AI Workflows

Agnė Matusevičiūtė

Last updated on

2025-07-31

1 min read

Optimizing web data pipelines for AI is no longer a luxury – it’s a necessity if you want to keep up with growing data demands and handle increasingly complex websites. But how can you refine your web scraping operations? Click down below to see what happened in our webinar on July 30, 2025, where we explored how you can overcome the challenges of building and maintaining reliable web data extraction workflows that are fast, resilient, and ready to support AI models or real-time applications.

Watch on-demand

Why watch this webinar?

This webinar covered various stages of web data gathering – from scraping and crawling to search and browser-level automation. The session included:

Techniques how to extract and structure high-quality data from complex web sources using only natural language input.
Different ways to automate crawling and web interactions without a heavy coding setup.
Live demos of smart agents handling tasks from simple data grabs to more advanced site navigation.

Meet the speaker

Aleksandras Šulženko, Product Owner @ Oxylabs

Aleksandras has been in IT management since 2016 and is currently the Product Owner of Oxylabs' public data collection solutions, including Web Unblocker and Web Scraper API. He leads a team focused on web scraping and data processing to help clients collect real-time public data efficiently. Outside of work, he enjoys creating electronic music and tending to his mini plantation, which features some of the most exotic pepper species.

Final thoughts

No matter if you’re a developer, data scientist, or just seeking to make your web data extraction process smoother and faster, this session is ideal for you. So, if you missed it live, watch the webinar on your schedule and learn how to refine your web scraping operations.

Watch on-demand

About the author

Agnė Matusevičiūtė

Technical Copywriter

With a background in philology and pedagogy, Agnė focuses on using language and teaching others by making complicated tech simple.

Learn more about Agnė Matusevičiūtė Learn more about Agnė Matusevičiūtė

All information on Oxylabs Blog is provided on an "as is" basis and for informational purposes only. We make no representation and disclaim all liability with respect to your use of any information contained on Oxylabs Blog or any third-party websites that may be linked therein. Before engaging in scraping activities of any kind you should consult your legal advisors and carefully read the particular website's terms of service or receive a scraping license.