AgentQL

★3.8

💬3224

💲Freemium

AgentQL enables seamless automation by connecting AI agents to web content using natural language. It provides structured data extraction, real-time debugging, and integrations with Python, JavaScript, and Playwright, making it ideal for developers working with LLMs and web data workflows.

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Platform

web

AI agentsAutomationData extractionLLMsNatural language processingPDF parsingQuery language

What is AgentQL?

AgentQL is a tool suite that connects Large Language Models (LLMs) and AI agents to web data, enabling precise automation through natural language queries. It includes a query language, parser, SDKs, and debugging tools for efficient data extraction and interaction with web elements. Designed for developers and AI engineers, it simplifies automation tasks without requiring complex selectors like XPath or CSS.

Core Technologies

Artificial Intelligence
Natural Language Processing
Large Language Models (LLMs)
Query Language
Web Scraping
API Integration
PDF Parsing

Key Capabilities

Natural language-based data extraction
Self-healing query adaptation
Playwright integration
REST API for browserless scraping
Structured output generation
PDF parsing

Use Cases

E-commerce product data collection
Job listings monitoring
Social media trend tracking
Automated web testing
Document and PDF data extraction
Custom data workflow automation

Core Benefits

Reduces reliance on manual selectors
Scales efficiently with high-volume API plans
Adapts to page changes automatically
Supports both public and authenticated sites
Offers reusable query templates

Key Features

Natural language queries for web scraping
Custom query language and parser
Integration with Playwright
Python and JavaScript SDKs
Real-time browser debugger
Browserless REST API
Advanced PDF parsing capabilities

How to Use

1
Sign up for a free trial and access the Playground
2
Define your target data using natural language queries
3
Use the browser extension to debug and optimize queries
4
Integrate SDKs for automation in Python or JavaScript
5
Scale usage via flexible pricing tiers

Pricing Plans

Free Trial

300 free API calls, 10 API calls per minute, Community and email support, Full access to developer tools

Starter

$0/monthly

50 free API calls/month, $0.02 per API call after the initial limit, 10 API calls per minute, Community and email support, Full access to developer tools

Professional

$99/monthly

10,000 API calls/month included, $0.015 per API call after the initial limit, 50 API calls per minute, Priority email support, Community support, Full access to developer tools

Enterprise

Custom, Fully managed solutions for accessing data from websites and documents, Fastest time to market, Ready-to-use datasets, Fully managed dedicated cloud environment, On-premise deployment available, 24/7 premium support, Dedicated account manager

Frequently Asked Questions

Q.What is AgentQL?

A.AgentQL connects LLMs and AI agents to the entire web, enabling precise automation through natural language queries.

Q.How does AgentQL integrate with other tools?

A.AgentQL integrates seamlessly with various environments. Explore documentation or contact support for specific integrations.

Q.What makes AgentQL's query language unique?

A.It uses AI-driven analysis to adapt to page structures, eliminating fragile XPath and CSS selectors.

Q.Can AgentQL work with PDF documents?

A.Yes, AgentQL can parse tables and structured data from PDF files using its built-in parsing engine.

Q.Is there a way to use AgentQL without a browser?

A.Yes, the REST API allows browserless data retrieval from any URL.

Pros & Cons (Reserved)

✓ Pros

Robust AI-driven data extraction
Reusable queries across similar pages
Structured output format
Self-healing queries adapt to site changes
Works on authenticated and public sites
No need for XPath or CSS selectors

✗ Cons

Cost increases with API call volume
Learning curve for query language
Enterprise features require custom setup

Alternatives

No alternatives found.