AgentQL: Reviews, Features, Pricing, Alternatives

AgentQL is a suite of tools that connects LLMs and AI agents to the entire web. It features a query language and parser for interacting with web page elements and extracting data quickly, precisely, and at scale. AgentQL provides a versatile SDK (Python and JavaScript) for interacting with web page elements via Playwright and headless browsers, a browser-based debugger extension for optimizing queries in real time, a REST API for retrieving public data without a browser, and PDF parsing capabilities. It works on any page, including those behind authentication, and uses AI to analyze page structure, making it a robust alternative to fragile XPath and DOM/CSS selectors. Queries are reusable across similar pages, and results are structured and self-healing against dynamic content and page changes.

Key Features

Versatile SDK: Interact with web elements via Playwright and Python/JavaScript SDKs.
Browser-based debugger: Optimize queries in real time on any web page.
Robustness: AI-driven analysis of page structure replaces fragile selectors.
Browserless API: Retrieve public data from any URL via REST API.
PDF parsing: Extract information like tables from PDFs.

Who It’s For

AgentQL is designed for developers building web agents and data workflows, teams running regular data workflows and web automation pipelines, and enterprises needing managed solutions for accessing data from websites and documents.