Goat.com Product Details Scraper
Pricing
$20.00/month + usage
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Goat.com Product Details Scraper
The Goat.com Product Details Scraper extracts detailed product data from Goat.com platform, including id, name, brand, price, details, image URLs, etc., by providing product details page urls.
0.0 (0)
Pricing
$20.00/month + usage
1
Total users
12
Monthly users
5
Runs succeeded
>99%
Last modified
a day ago
Contact
If you encounter any issues or need to exchange information, please feel free to contact us through the following link: My profile
What does Goat.com Product Details Page Scraper do?
Unlocking the Power of GOAT's Authenticated Marketplace
GOAT operates as the global platform for authentic sneakers, apparel, and accessories, serving as a trusted marketplace that authenticates every product to eliminate counterfeits. In the rapidly evolving sneaker resale market, valued at over $2 billion in gross merchandise value, accessing accurate and comprehensive product data has become essential for businesses, researchers, and enthusiasts who need reliable market intelligence.
GOAT's proprietary AI technology combats the widespread issue of fake Yeezys and Jordans, making it the most trusted source for authenticated sneaker data. Whether you're conducting market research, tracking price trends, building e-commerce applications, or analyzing sneaker culture, having structured access to GOAT's extensive product catalog provides invaluable insights into one of the most dynamic consumer markets.
Comprehensive GOAT Product Data Extraction
The GOAT Scraper is designed to systematically extract detailed product information from GOAT's authenticated marketplace. This powerful tool navigates through individual product pages to capture extensive metadata that reflects both the technical specifications and market dynamics of each sneaker listing.
Our scraper handles the complex structure of GOAT's product pages, extracting over 15 key data points that provide a complete picture of each sneaker's profile. The tool respects rate limiting and implements retry mechanisms to ensure reliable data collection while maintaining ethical scraping practices.
The scraper is particularly valuable for sneaker retailers, market analysts, inventory managers, and data scientists who require systematic access to GOAT's comprehensive product database. By automating the data extraction process, users can focus on analysis and application rather than manual data collection.
Input Requirements and Configuration
Input Format
Example url 1: https://www.goat.com/sneakers/air-jordan-3-retro-black-cement-reimagined-dn3707-010
Example url 2: https://www.goat.com/apparel/levi-s-x-nike-trucker-jacket-light-blue-002tm-0000
Example url 3: https://www.goat.com/apparel/nike-tech-fleece-windrunner-grey-fb7921-064
Example Screenshot of product information page:
The scraper accepts a JSON configuration that includes proxy settings, retry parameters, and target URLs:
Input Parameters Explained:
- max_retries_per_url: Controls retry attempts for failed requests, recommended value is 2-3 for optimal balance between reliability and speed
- proxy configuration: Essential for avoiding detection and rate limiting, with residential proxies recommended for consistent access
- apifyProxyCountry: Should match your target geographic market for accurate regional pricing and availability data
- urls array: Contains direct links to GOAT product pages, supporting batch processing of multiple products
Comprehensive Output Data Structure
You get the output from the Goat.com Product Details Page Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.
Core Product Information
The scraper extracts essential product identifiers and basic information:
- ID: GOAT's internal product identifier for database referencing and API calls
- URL: The canonical product page URL for direct access and verification
- Name: Official product name including model, colorway, and edition details
- Nickname: Popular or colloquial names used by the sneaker community
- Brand Name: Manufacturer (Nike, Adidas, Jordan, etc.) for brand analysis and categorization
Design and Aesthetic Data
Technical specifications that define the sneaker's visual and structural characteristics:
- Color: Primary colorway designation, crucial for inventory management and customer matching
- Designer: Lead designer or design team information, valuable for trend analysis and attribution
- Details: Additional design elements, special features, or collaborative aspects
- Midsole: Midsole technology and color, important for performance analysis and authentication
Market and Availability Information
Critical data points for market analysis and business intelligence:
- For Auction: Boolean indicator showing whether the item is available through GOAT's auction system
- Maximum Offer Cents: Highest current bid in cents, providing real-time market sentiment data
- Gender: Target demographic (Men's, Women's, Kids) for market segmentation analysis
And More ...
Implementation Guide and Best Practices
Setup and Configuration
Begin by configuring your proxy settings to match your target market geography. Since GOAT uses sophisticated AI technology for fraud detection, proper proxy rotation is essential for consistent access. Set retry limits between 2-3 to balance reliability with scraping speed.
URL Collection Strategy
Collect target URLs through GOAT's browse functionality or search features. Focus on specific categories or brands to maintain data consistency. Batch URLs in groups of 50-100 for optimal processing efficiency while avoiding overwhelming the target server.
Error Handling and Monitoring
Implement monitoring for common issues such as page structure changes, rate limiting, or authentication challenges. The scraper includes built-in retry logic, but monitoring success rates helps identify when additional adjustments may be needed.
Data Quality Assurance
Validate extracted data by cross-referencing key fields like product names and prices. Given GOAT's focus on authenticity, extracted data should consistently reflect verified product information.
Business Applications and Market Intelligence
E-commerce and Retail Applications
The extracted data enables price comparison tools, inventory management systems, and competitive analysis platforms. Retailers can track market trends, identify pricing opportunities, and optimize their product offerings based on GOAT's authenticated market data.
Market Research and Analytics
With GOAT's significant market presence and $3.7 billion valuation, the platform's data provides valuable insights into consumer preferences, pricing trends, and brand performance. Researchers can analyze market dynamics, seasonal patterns, and emerging trends in the sneaker industry.
Investment and Financial Analysis
The comprehensive pricing and auction data supports investment analysis for sneaker collecting, resale business modeling, and market forecasting. Financial analysts can track asset performance and identify investment opportunities in the alternative asset space.
Conclusion and Getting Started
The GOAT Scraper provides systematic access to one of the world's most comprehensive authenticated sneaker databases. By extracting detailed product information, market data, and authentication details, this tool empowers businesses and researchers with the insights needed to succeed in the dynamic sneaker marketplace.
Ready to harness the power of GOAT's authenticated data? Configure your scraping parameters and begin extracting valuable market intelligence today.
Related Actors
- Goat.com Product Search Scraper: A streamlined automation tool that extracts product data from product search queries 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 Details Page Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.
