Description

Implements comprehensive Spanish documentation for a crossbow agent pattern - an e-commerce product scraper specialized for extracting structured data from archery/crossbow equipment sites.

Files Added:

• docs/examples/crossbow_agent.mdx - Full documentation covering agent functionality, applicable patterns, and use cases
• docs/examples/code_examples/crossbow_agent.py - BeautifulSoupCrawler implementation for static HTML
• docs/examples/code_examples/crossbow_agent_pw.py - PlaywrightCrawler implementation for JavaScript-heavy sites

Key Features:

• Product extraction (name, brand, specs, pricing, availability)
• Technical specifications parsing (draw weight, FPS, dimensions)
• Review and rating aggregation
• Multiple selector strategies with fallbacks
• Pagination and deep-linking support
• Interactive filter handling (Playwright)

Applicable Agent Types:

• E-commerce product scraping
• Price comparison/monitoring systems
• Inventory tracking
• Market analysis tools
• Content aggregation platforms

Example extraction structure:

product_data = {
    'name': 'TenPoint Vapor RS470',
    'brand': 'TenPoint',
    'specifications': {
        'draw_weight_lbs': '185',
        'speed_fps': '470',
        'weight': '7.1 lbs'
    },
    'price': '$2,999.99',
    'availability': 'In Stock'
}

Testing

• Python syntax validation passed
• Code review feedback addressed (extracted magic numbers to constants, removed ambiguous field names)
• CodeQL security scan: 0 alerts

Checklist

• CI passed

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.