AgentQL

AI-powered web scraping tool using natural language queries instead of XPath/DOM selectors for reliable data extraction from any website.

Data CollectionResearch & IntelligenceLead Generation

AI AgentWeb Scraping

Visit WebsiteFree API key available. $0.02 per API call after the initial limit. $99 monthly for pro plan.

Quick Info

Integrations

REST API, LlamaIndex, Zapier, LangChain, Model Context Protocol (MCP)

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AgentQL is a query language and developer toolkit for web scraping that uses AI to identify web elements through natural language descriptions. It eliminates the need for fragile XPath or DOM selectors that break when websites update. The tool provides SDKs for Python and Node.js, offering semantic selectors that return data in the exact shape you specify. AgentQL ensures consistent results across all websites regardless of UI changes, making it ideal for data extraction, web automation, and testing.

Key Features

Smart Selectors

Extract data based on semantic understanding rather than DOM structure, ensuring scripts continue working even when websites change.

Natural Language Queries

Use plain English to describe the data you want to extract, making scraping intuitive and reducing development time.

Pagination Handling

Built-in tools to handle different pagination types including infinite scrolling and numbered pagination.

Bot Detection Avoidance

Built-in features for enabling proxies, rotating browser headers, and "stealth mode" to prevent being blocked by websites.

Debugging Tools

Chrome extension and query debugger help optimize and test queries before implementation in production code.

Screenshot Validation

Request screenshots along with scraped data to verify the page state and debug extraction issues.

Use Cases

Content Aggregation

Gather articles, blog posts, and media from multiple websites to create content feeds or research databases.

Lead Generation

Extract contact information and company details from business directories, LinkedIn, and other professional networks.

Market Research

Collect data from multiple sources to analyze market trends, competitor activities, and consumer sentiment.

Web Testing

Create test cases that interact with websites based on semantic understanding rather than brittle selectors.

E-commerce Data Extraction

Pull product information, prices, reviews, and inventory data from e-commerce sites for competitive analysis or price monitoring.

Getting Started

Install the SDK via pip or npm (pip install agentql or npm install agentql)

Get a free API key from the AgentQL Developer Portal

Initialize the project with agentql init

Write your first query to extract data

Test and debug using the Chrome extension

Implement in your application

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