Forget fragile XPath or DOM selectors. AI-powered AgentQL finds elements reliably, even as websites change. Just specify what data you are scraping from the web with natural language-like queries, and AgentQL will handle the rest.
Hey Product Hunters! 👋
I am Shuhao, cofounder of the AgentQL team. Allow me to introduce AgentQL, an AI-powered semantic framework designed to enable AI agents to seamlessly interact with the web, using natural language.
That's a lot of big words. Let's break down what AgentQL can do:
🕹️ Give it the command to find "price", and it will retrieve all the price data on an e-commerce page you spend less time building rigid selectors
🖥️ Take the same code to another site, and it can work just as well >> you spend less time maintaining fragile scripts
📝. Need to interact with sites as part of your work flow? Simply use natural language, tell AgentQL to click, scroll_page or fill.
So why did we decide to build AgentQL?
Traditional web automation struggles with identifying elements consistently through UI changes. When LLMs and agents first emerged, we envisioned a web infrastructure tailored for agentic interaction, which excels in handling these small but breaking changes, so we decided to tackle this challenge head-on.
How did we go about this?
At the heart of our framework is the AgentQL Query, a language crafted to describe locate web elements within a structured schema. We’ve integrated robust DOM processing with advanced prompt engineering, creating a powerful combination that dynamically generates context-aware prompts. By doing so, we overcome the fragility of static XPath or attribute selector-based scripts, enabling a more resilient and flexible web interaction infrastructure.
Would you like to join our journey to an agentic future?
Our early users have reported real productivity boosts with AgentQL, unlocking use cases that were previously too costly or complex to develop. Your feedback and questions will be invaluable to us.
👀 Please check out our technology at AgentQL.com
💬 Connect with our community on Discord and X.com
Thank you for being a part of our story!
