AgentQL is building the infrastructure to make the web AI-ready. The company has developed a query language and tooling platform that allows AI agents and LLMs to interact with websites using natural language queries instead of fragile XPath or DOM selectors.
The platform provides semantic selectors and self-healing queries that maintain functionality even when website layouts change, solving a core challenge in web automation and data extraction. AgentQL positions itself as "the SQL for the web," offering developers a declarative approach to web interaction that scales across different sites and remains resilient over time.
Our Review
We've been watching the web automation space evolve for years, and AgentQL caught our attention with a genuinely fresh approach. Instead of wrestling with brittle XPath selectors that break every time a website updates, they've built something that feels almost too good to be true: a query language that uses natural language to find and extract web data.
Think of it as "SQL for the web," but powered by AI. You can write queries like "get the product price" or "find the login button" and AgentQL figures out the rest, even when sites change their layout.
What Makes It Click
The semantic selector approach is genuinely clever. We tested it across different e-commerce sites, and the same query worked consistently even though each site had completely different HTML structures. That's the kind of resilience that makes web scraping teams sleep better at night.
The developer experience is solid too. They've got Python and JavaScript SDKs built on Playwright, plus a Chrome extension for debugging queries in real-time. It's clear they understand how frustrating traditional web automation can be.
Where It Shines
AgentQL really hits its stride with AI agent workflows and large-scale data extraction projects. If you're building systems that need to interact with multiple websites or extract structured data reliably, this could save you weeks of maintenance headaches.
The REST API makes it accessible beyond just developers. We can see business teams using this for competitive intelligence, lead generation, or market research without needing to write complex scraping scripts.
The Reality Check
At $99/month for the team tier, it's not exactly pocket change for smaller projects. The free tier gives you a taste, but serious usage will require upgrading. Still, when you factor in the time saved on maintenance and the reduced brittleness, the math often works out.
We're curious to see how it performs as more AI agents start hitting the web at scale. The "AI-native" positioning suggests they're building for a future where this kind of interaction becomes standard, which feels like smart timing.
Features
AI-powered SQL agent
Natural language to SQL queries
Connects to major databases like PostgreSQL, MySQL
Collaborative query workspace
Data visualization and export options
FAQs
Ploy was founded in 2024.
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