AgentQL

AgentQL is a tool suite designed to connect AI agents and language models to web pages using natural language queries. It provides a query language and parser that acts as an alternative to XPath or CSS selectors to extract structured data and interact with web elements. The product features Python and JavaScript SDKs, a browser extension for debugging, and a REST API for data retrieval.

• Query language and parser for extracting structured data and interacting with web elements using natural language
• Python and JavaScript SDKs for interacting with web page elements via Playwright and headless browsers
• Browser extension for debugging and optimizing queries in real time on any web page
• REST API for browserless retrieval of public-facing data from any URL
• PDF parsing capabilities for extracting information like tables
• Self-healing queries that maintain consistent results despite dynamic content and page changes
• Support for public, private, and authenticated web pages and URLs

Pros

• Provides a robust alternative to XPath and CSS selectors by using AI to analyze page structure
• Enables reusable code and configurations across similar website layouts
• Allows users to define the exact shape of structured data with a query
• Handles pages behind authentication and dynamic content without breaking

Cons

• The Starter plan is capped at 50 free API calls per month with a $0.02 charge per call after the initial limit
• The Professional plan costs $99 monthly and includes 10,000 API calls per month with a $0.015 charge per call after the limit
• API call rates are limited to 10 calls per minute on the Starter plan and 50 calls per minute on the Professional plan
• Remote browser time is capped at 10 hours for the Starter plan and 500 hours for the Professional plan

AgentQL fits developers building web agents, data engineers running extraction processes, and teams operating regular data workflows and web automation pipelines. It is suited for extracting structured information from e-commerce sites, job boards, social media, and PDFs. It is a poor fit for users who require entirely free unlimited API calls or local scraping without a tiered model.

AgentQL offers a freemium model with a free trial, a Starter tier, a Professional tier, and a custom Enterprise tier. The Starter plan costs $0 monthly, includes 50 free API calls per month, 10 hours of remote browser time, 5 concurrent remote browser sessions, and 10 API calls per minute, with additional usage billed at $0.02 per API call and $0.12 per hour of remote browser time. The Professional plan costs $99 monthly, includes 10,000 API calls per month, 500 hours of remote browser time, 100 concurrent remote browser sessions, and 50 API calls per minute, with additional usage billed at $0.015 per API call and $0.10 per hour of remote browser time. The Enterprise tier features custom pricing for fully managed solutions, dedicated environments, and on-premise deployment.

Unlike traditional web scraping setups that rely on fragile XPath or DOM and CSS selectors which break when page structures change, AgentQL uses AI to analyze a page's structure and interpret natural language queries. This enables self-healing behavior so queries return consistent results despite dynamic content updates. Additionally, the same query can be reused across multiple similar web pages.

AgentQL integrates with Python SDK, JavaScript SDK, REST API, Playwright, headless browsers, and a browser extension for debugging.

AgentQL is worth trying for developers and teams looking to replace fragile CSS or XPath selectors with natural language queries for web data extraction. The free Starter plan allows users to test the platform without a credit card, while the Professional tier supports heavier automation pipelines. However, buyers should review the monthly API call and remote browser hour limits to avoid unexpected overage fees. Teams requiring specialized setups can look into the custom Enterprise plan.