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AgentQL logo

AgentQL

AgentQL is a web scraping API that leverages AI to understand web pages like a human, enabling users to extract structured data from any website without writing custom selectors. It simplifies complex web data extraction with intelligent agents.

Price: Freemium

Categories:AI AgentsAI Data Analysis ToolsAI Data Mining ToolsAI Developer ToolsAI Document Extraction Tools
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Description
AgentQL is an advanced web scraping API designed to overcome the fragility of traditional scraping methods by employing AI to interpret web pages intelligently. Instead of requiring users to define CSS selectors or XPath, users can simply tell AgentQL what data they need in natural language or by providing examples. The AI agent then navigates the page, understands its structure, and extracts the desired information, even from dynamic and complex websites. This tool is invaluable for developers, data scientists, and businesses seeking a robust and maintenance-free solution for large-scale data extraction, market intelligence, and content aggregation. AgentQL differentiates itself by making scraping resilient to website changes and significantly reducing the development and maintenance effort, offering a "set it and forget it" approach to data collection.

AgentQL screenshot 1
How to Use
1.Sign up for an AgentQL account and obtain your API key.
2.Define your data extraction task by providing a target URL and a natural language description of the data you want.
3.Send an API request to AgentQL with your task definition.
4.AgentQL's AI agents will process the page and extract the structured data.
5.Receive the extracted data in a clean, structured format (e.g., JSON).
6.Integrate the data into your applications or databases.
Use Cases
Large-scale Data ExtractionMarket IntelligenceContent AggregationAutomated Data CollectionWeb MonitoringAPI Development
Pros & Cons

Pros

  • AI-powered extraction reduces reliance on fragile selectors.
  • Adapts to website changes, minimizing maintenance.
  • Supports natural language or example-based data definition.
  • Handles dynamic and JavaScript-heavy websites.
  • Scalable API for large-volume data extraction.

Cons

  • Higher cost compared to basic API-based scrapers.
  • May have a learning curve for optimizing AI prompts for specific data.
  • Performance and accuracy can sometimes vary with highly unstructured pages.
Pricing

To check the pricing of AgentQL click here

FAQs

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