AI Summary:
This article covers Oxylabs' plans for AWS re:Invent 2026, including the AI-ready web data solutions we'll showcase, our product demos, a lightning talk on the challenges AI agents face when navigating the web, and opportunities to connect with our experts.
In Las Vegas, nobody bets on yesterday’s odds. Yet that’s what many AI agents do every day: make decisions based on data that was true last month, last year, or whenever their model was last trained.
When AWS re:Invent takes over the Strip from November 30 to December 4, we’re bringing a way to stack the deck in your favor: fresh web data for AI agents. Find the Oxylabs team of experts at the event in The Venetian, booth #1966.
Agents that plan, decide, and act need to see the web as it is right now. But the live web is hard to work with. Sites are dynamic, layouts change, access is restricted, and building the collection infrastructure to cope with all of it can pull your team away from what they actually want to build.
That’s the gap we help close, and it’s what we’ll be talking about all week.
Our booth is built around three things teams building with AI tell us they need: real-time access to the web for their agents, clean and structured data from any site, and the ability to power LLMs and agentic workflows at scale. Here’s how we help:
Agent Browser. Let AI agents navigate complex, dynamic websites and act on them autonomously: click through multi-page content, fill in forms, and retrieve structured data. It works with popular libraries, browsers, and MCP clients, and we take care of the maintenance so your team can focus on building.
Web API. One API built for AI agents. Use /search to discover relevant live sources when you don’t have the URLs, and /scrape to extract clean data from any public page in flexible output formats. It connects natively through our MCP Server and Agent Skills for AI-ready LLM workflows.
Proxy solutions. Large-scale data collection runs on a pool of 177M+ IPs, with precise geo-targeting across 195 countries and dedicated bandwidth setups for consistent performance at scale.
Datasets. Skip the collection pipeline entirely. Get ready-to-use public web data on demand to fuel model training and analytics.
Topic: The Web Wasn't Built for AI Agents. Now What?
When & where: December 3, 10:30 AM, Venetian, Partner Advantage Zone
Product Manager @ Oxylabs
With over five years of IT experience, Patricija has built a sharp focus on product management within the web scraping space. Having progressed from Squad Lead to Product Manager, she now specializes in SERP and LLM scraping products, helping shape solutions for businesses navigating web data and AI challenges.

In this session, we'll explore how traditional web scraping infrastructure is evolving to support the next generation of AI agents. We'll look at the challenges of accessing fresh information, turning messy webpages into agent-ready data, and enabling agents to go beyond simply reading websites to actually interacting with them.
Using practical examples of Oxylabs Web API and Agent Browser, we'll discuss how developers can spend less time managing web access infrastructure and more time building agents that get things done.
Whether you have a specific use case in mind or just want to see what’s possible, there are a few ways to meet the team:
Meet our experts. Stop by booth #1966 for a chat about your data challenges. Our team will be there throughout the Expo.
Live demos. See our tools in action on December 1 and 2 at 3 PM, and on December 3 at 2 PM.
Raffle game. Join us right after the demos, at the same times, for a chance to win a prize.
Can’t make it to the conference, but want to talk about your data needs? Drop us a line at sales@oxylabs.io.
Forget about complex web scraping processes
Choose Oxylabs' advanced web intelligence collection solutions to gather real-time public data hassle-free.


Shinthiya Nowsain Promi
2026-10-14


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2026-09-21

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