Paid tool

AgentQL

AI-powered web scraping and automation tool utilizing semantic natural language elements.

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Intro

What is AgentQL?

AgentQL (also referred to as agent ql, agnetql, or agenql) is an AI-powered data extraction and web automation tool designed to make the web AI-ready by connecting LLMs to online resources. Instead of relying on fragile CSS selectors or XPath, AgentQL's engine uses semantic analysis to find elements. This makes it a robust option for web developers looking to build tools like a gumroad scraper, a census data scrapper, or a scraper snapachat. Developers can utilize AgentQL for a wide variety of automation projects, including nested job scraping with agentql, designing ai agents for linkedin data scraping, or deploying agentql for wescapping on highly dynamic pages. Furthermore, the tool's abilities extend to PDF parsing, directly resolving the developer question: how can the accuracy of data extracted from pdf be improved? By acting as an interface that works alongside tools like langflow web, composio cli, or agentql langchain, it simplifies complex extraction pipelines.

AgentQL at a glance
Free, Professional from $99/mo20K monthly visitsPaid access
Pricing

AgentQL Pricing Plans

Compare AgentQL free options, AgentQL paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free, Professional from $99/mo

Free

300 free API calls, 10 API calls per minute limit, community and email support, full access to developer tools.

$0/monthly

50 free API calls/month, $0.02 per API call after initial limit, 10 API calls per minute, community and email support.

$99/monthly

10,000 API calls/month, $0.015 per API call after initial limit, 50 API calls per minute, priority email support.

Custom

Fully managed cloud environments, on-premise deployments, ready-to-use datasets, 24/7 premium support, and dedicated account manager.

Pricing updated:Jun 12, 2026

Features

AgentQL AI Features

AI-Powered Semantic Selectors: Uses AI to analyze page structures to find elements, serving as an alternative to fragile XPath and DOM selectors.Versatile SDK: Allows interaction with web page elements via Playwright and headless browsers using Python and JavaScript SDKs.Browser-based Debugger: A debugger browser extension for optimizing queries in real time on any web page.Structured Query Output: Users write natural queries to define the exact shape of JSON data they want to extract.Browserless API: A REST API to retrieve public-facing data from any URL without needing a local browser.PDF Parsing: Parses challenging layouts and tables from PDF documents.
Pros & Cons

AgentQL Pros and Cons

Pros

  • More resilient to layout changes than raw HTML or CSS selectors
  • Direct conversion of web layout into clean, structured JSON outputs
  • Works behind logins and on private pages
  • Provides both free trial credits and a $0 Starter tier

Limitations

  • API usage is subject to rate limits on starter tiers
  • Can incur higher recurring costs for heavy enterprise scraping compared to standard open-source parsers

AgentQL FAQ

AgentQL functions as an AI selector layer that integrates directly with Playwright, using semantic AI to find and test elements inside headless browsers.