AgentQL is an AI-powered query language and toolkit designed for extracting data and automating interactions with web pages. Unlike traditional methods relying on fragile XPath or CSS selectors, AgentQL uses AI to intelligently analyze page structure, enabling you to retrieve data with precision and consistency, even from dynamic content. You can interact with web page elements through SDKs (Python and JavaScript) and a REST API, using natural language or descriptive prompts to define the data you need. It features a debugging browser extension for real-time query optimization, a playground to experiment with, and a "Stealth Mode" to bypass bot detection.
AgentQL is ideal for web automation and scraping enthusiasts, as well as teams managing regular data pipelines. It allows users to define the shape of their extracted data and ensures consistent results across similar pages. The product offers managed solutions, is compatible with any URL (public or private, including those behind authentication), and simplifies web automation through features like scheduled workflows and an AI-powered query generation tool. Overall, AgentQL streamlines data extraction and web interaction, significantly reducing the complexity involved in getting web data.