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GOAT.com Product Search Scraper

The sneaker resale market has exploded into a multi-billion dollar industry, with GOAT hitting $2 billion in gross merchandise value (GMV) over the last 12 months. As the global platform for the greatest products from the past, present and future, GOAT.com stands as the premier authenticated marketplace for sneakers, apparel, and accessories. For businesses, researchers, and developers looking to access this valuable product data, manual collection is time-consuming and inefficient. Our GOAT.com Product Search Scraper solves this challenge by automating data extraction from this authenticated marketplace.

Why Scrape GOAT.com?

GOAT not only acts as a marketplace between buyers and sellers, but also verifies the authenticity of sneakers (to combat the many fake and counterfeits in the sneaker resale market). This makes GOAT's data uniquely valuable - every product listed has been verified for authenticity using proprietary AI technology. The platform features new releases, iconic styles and exclusive collaborations from Nike and Air Jordan to adidas and New Balance, making it an essential data source for:

• Market researchers analyzing sneaker trends and pricing
• Retailers monitoring competitor pricing and inventory
• Investment analysts tracking luxury goods markets
• E-commerce platforms seeking authentic product data
• Brand managers monitoring resale market performance

GOAT.com Scraper Overview

Our scraper efficiently extracts comprehensive product information from GOAT's authenticated marketplace. Built with advanced proxy rotation and retry mechanisms, it ensures reliable data collection while respecting the platform's infrastructure. The scraper handles dynamic content loading and provides structured output suitable for immediate analysis or database integration.

Key Features:

• Automatic retry handling for reliable data extraction
• Residential proxy support to avoid detection
• Country-specific proxy selection for localized data
• Configurable item limits per URL
• Structured JSON output with essential product fields

Target Users:

• Market research companies analyzing sneaker trends
• E-commerce businesses monitoring pricing strategies
• Data analysts studying luxury goods markets
• Developers building sneaker-focused applications

Input Configuration

Example url 1: https://www.goat.com/search?query=Jordan%204

Example url 2: https://www.goat.com/search?query=t-shirt

Example url 3: https://www.goat.com/apparel/outerwear

Example Screenshot of product information page:

The scraper accepts a JSON configuration that controls extraction parameters and proxy settings:

{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "max_items_per_url": 20,
  "urls": [ // Links to product list by query pages.
    "https://www.goat.com/search?query=Jordan%204",
    "https://www.goat.com/apparel/outerwear",
    "https://www.goat.com/search?query=t-shirt"
  ]
}

Input Parameters Explained:

• max_retries_per_url: Sets the maximum number of retry attempts when accessing URLs. Recommended value is 2 to balance reliability with performance.
• proxy settings: Essential for avoiding bot detection on GOAT's platform. Residential proxies provide the highest success rate.
• apifyProxyCountry: Choose a country that matches your target market for localized pricing and availability data.
• max_items_per_url: Controls the number of products to extract per page. Set to 20 or lower for optimal performance.
• urls: Array of GOAT product page URLs to scrape. Can include individual product pages or search result pages.

Output:

The scraper returns structured data with six essential fields for each extracted product:

[ // List of product information
  {
    "id": "1253639",
    "url": "https://www.goat.com/sneakers/air-jordan-4-retro-military-blue-2024-fv5029-141",
    "title": "Air Jordan 4 Retro 'Military Blue' 2024",
    "release_date": "Air Jordan 4 Retro 'Military Blue' 2024\n2024",
    "price": 140.0,
    "currency": "$",
    "image_url": "https://image.goat.com/transform/v1/attachments/product_template_pictures/images/099/440/967/original/1253639_00.png.png?action=crop&width=750",
    "from_url": "https://www.goat.com/search?query=Jordan%204"
  }, // ... Many other product details
]

Output Fields Explained:

• Id: GOAT's unique product identifier, typically corresponding to the style code. Essential for tracking specific products across different listings and variations.
• Url: Direct link to the product page on GOAT. Useful for deep-linking, verification, and accessing additional product details.
• Title: Complete product name including brand, model, colorway, and year. Critical for product identification and catalog matching.
• Release Date: Original release date in YYYY-MM-DD format. Valuable for analyzing product age, investment potential, and historical pricing trends.
• Price: Current market price in cents (multiply by 100). GOAT displays the lowest available price, making this field crucial for pricing analysis.
• Currency: Price currency code (USD, EUR, etc.). Important for international market analysis and currency conversion.
• Image Url: High-resolution product image link. Essential for visual product catalogs, authentication verification, and marketing materials.

Usage Instructions

1. Configure Input Parameters: Set your desired retry limits, proxy preferences, and target URLs in the JSON input format.

2. Set Proxy Configuration: Use residential proxies with country selection matching your target market for best results and reduced blocking.

3. Specify Target URLs: Input GOAT product page URLs or search result pages. Ensure URLs are properly formatted and accessible.

4. Run Extraction: Execute the scraper and monitor progress through the provided logging system.

5. Process Output: The structured JSON output can be directly imported into databases, spreadsheets, or analysis tools.

Best Practices:

• Limit concurrent requests to avoid overwhelming GOAT's servers
• Use residential proxies to maintain access reliability
• Monitor extraction logs for any blocked requests
• Implement delays between batches for sustainable scraping
• Regularly update your URL list to capture new releases

Common Issues:

• Rate limiting: Reduce max_items_per_url or add delays between requests
• Proxy blocks: Rotate proxy countries or switch proxy providers
• Missing data: Some fields may be empty for certain products - handle null values appropriately

Business Applications and Benefits

Our GOAT.com scraper delivers significant time savings and competitive advantages. Manual data collection from GOAT can take hours per hundred products, while automated extraction completes the same task in minutes. The authenticated nature of GOAT's marketplace means you're accessing verified, high-quality product data that's immediately actionable.

Key Benefits:

• Market Intelligence: Track pricing trends and identify investment opportunities in authenticated sneakers
• Competitive Analysis: Monitor competitor inventory levels and pricing strategies
• Product Catalogs: Build comprehensive databases of authenticated products with verified details
• Investment Research: Analyze historical pricing data to identify appreciating assets
• Brand Monitoring: Track how specific brands perform in the resale market

Conclusion

The GOAT.com Product Search Scraper transforms manual data collection into an automated, efficient process. By extracting authenticated product data from the leading sneaker marketplace, you gain access to verified information that drives informed business decisions. Whether you're conducting market research, monitoring competitor pricing, or building product catalogs, this tool delivers the reliable data you need.

Ready to automate your GOAT.com data collection? Start extracting authenticated sneaker marketplace data today and gain the competitive edge that comes from actionable market intelligence.

Related Actors

• Goat.com Product Details Page Scraper: A streamlined automation tool that extracts product data from product details page in Goat.com and converts it into structured JSON format.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Goat.com Product Search Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.