AgentQL

AgentQL is a query language for the web: developers describe elements and data in natural language style queries ({ products[] { name description price(integer) } }) and AgentQL's AI builds a semantic understanding of page context to find them by meaning rather than DOM position. Queries are self healing across layout changes, reusable across similar sites, and return structured JSON shaped by the query itself, or Playwright locators for taking actions. The suite spans Python and JavaScript SDKs, a REST API, an MCP server, integrations with LangChain, Zapier, Langflow, and Google ADK, a Debugger Chrome extension for real time query testing, and a Playground that suggests queries and exports scripts. It works on any page including authenticated and dynamically generated content, offers managed Chrome sessions with CDP access and stealth mode, and extends the same query language to PDF, JPEG, and PNG document extraction. AgentQL is the semantic selector layer beneath agents and automations rather than an agent platform itself, which its focused grid profile reflects.