How does AgentQL handle website changes?

Its AI models are designed to adapt to minor website layout changes, reducing the need for constant scraper maintenance.

Does AgentQL support JavaScript rendering?

Yes, it uses headless browser technology to render JavaScript and extract data from dynamic pages.

What kind of data can I extract?

You can extract virtually any publicly available data, such as product details, reviews, news, prices, and contact information.

Is there a free trial available?

Yes, AgentQL offers a free trial or free credits to test the service.

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

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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.

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

Free Plan: Includes 100 free requests, access to core API features

Starter Plan: $29/month (billed monthly) or $24/month (billed annually, 17% discount) for 2,500 requests/month, 1 concurrent request

Growth Plan: $99/month (billed monthly) or $82/month (billed annually, 17% discount) for 10,000 requests/month, 5 concurrent requests, priority support

Business Plan: $249/month (billed monthly) or $207/month (billed annually, 17% discount) for 25,000 requests/month, 10 concurrent requests, dedicated account manager

Enterprise Plan: Custom pricing, includes custom requests, concurrent requests, dedicated infrastructure, SLA

Free trial: Yes, 100 free requests

Refund policy: Not explicitly stated, typically contact support.

FAQs