AgentQL MCP Server

Overview

AgentQL MCP Server revolutionizes web scraping by enabling data extraction through natural language queries. It eliminates the need for CSS selectors, XPath, or complex parsing logic, using AI to understand page structure and extract desired information.

Features

Natural Language Scraping

• Describe what data to extract in plain English
• No need for technical selectors
• Adaptive to layout changes
• Handles dynamic content
• Multi-page navigation

Intelligent Parsing

• Automatic element detection
• Content type recognition
• Relationship understanding
• Structure inference
• Data normalization

Web Automation

• Form filling
• Button clicking
• Navigation flows
• Authentication handling
• Session management

Data Extraction

• Tables and lists
• Images and media
• Text content
• Structured data
• Nested information

Query Examples

Natural Language:

• "Extract all product names and prices"
• "Get the main article text"
• "Find all customer reviews with ratings"
• "Scrape contact information from about page"
• "Get all job listings with location and salary"

Automatic Understanding: AgentQL understands the intent and finds relevant elements regardless of the HTML structure.

Use Cases

• Competitive analysis
• Price monitoring
• Content aggregation
• Lead generation
• Market research
• Data journalism
• Job board scraping
• Product catalog extraction

Advantages Over Traditional Scraping

No Brittle Selectors

• Works despite layout changes
• No CSS selector maintenance
• No XPath debugging
• Adapts to redesigns

Intelligent Extraction

• Understands semantic meaning
• Handles variations in structure
• Extracts related information
• Filters irrelevant data

Easy Maintenance

• Natural language queries don't break
• Self-healing scrapers
• Reduced development time
• Less technical expertise required

Advanced Features

Multi-Page Scraping

• Pagination handling
• Link following
• Batch processing
• Rate limiting

Data Processing

• Cleaning and normalization
• Format conversion
• Deduplication
• Validation

Error Handling

• Retry logic
• Timeout management
• Fallback strategies
• Detailed error reporting

Technical Implementation

Powered by AgentQL's intelligent parsing engine that uses AI to understand web page structure and extract data based on semantic queries rather than rigid selectors.

Integration

Compatible with Claude Desktop, Cursor, VS Code, and other MCP clients. Requires AgentQL API credentials for advanced features.

Performance

• Concurrent scraping
• Caching strategies
• Efficient parsing
• Minimal resource usage

Ethical Scraping

• Respects robots.txt
• Rate limiting
• User-agent identification
• Terms of service compliance