Sneaker Resell Price Tracker

Overview

Sneaker Resell Price Tracker is a powerful web scraping actor that retrieves comprehensive sneaker product information and real-time resell pricing data from multiple marketplaces. Get instant access to pricing across StockX, GOAT, Flight Club, and Stadium Goods with a single API call.

What Does This Actor Do?

This actor fetches detailed sneaker information including:

• Real-time resell prices across major marketplaces (StockX, GOAT, Flight Club, Stadium Goods)
• Size-specific pricing for all available sizes
• Product details (name, brand, colorway, release date, retail price)
• Direct marketplace links for immediate purchasing
• Product images and thumbnails
• Lowest available prices comparison across platforms

Key Features

✅ Multi-marketplace price aggregation
✅ Size-by-size pricing breakdown
✅ Real-time data extraction
✅ Comprehensive product metadata
✅ Direct reseller links
✅ USD currency pricing
✅ Error handling and validation

How to Use

Input Parameters

The actor requires only one input parameter:

styleId (required) - The unique Nike/Jordan style code for the sneaker you want to track.

Finding the Style ID

The Style ID (also called SKU or product code) is a unique identifier assigned by Nike/Jordan to each sneaker model. Here's where to find it:

Method 1: From Product Packaging

• Check the inside of the shoe box label
• Look for a code format like "FD1412-003" or "DZ5485-003"
• Usually located near the barcode

Method 2: From Online Retailers

• Visit Nike.com, StockX, GOAT, or other sneaker retailers
• Navigate to the product page
• Scroll to product details/specifications
• Look for "Style" or "SKU" field
• Example: On Nike.com, it appears as "Style: FD1412-003"

Method 3: From Inside the Shoe

• Check the tag inside the shoe tongue
• The style code is typically printed alongside the size

Common Style ID Formats:

• Jordan Brand: FD1412-003, DZ5485-003
• Nike: DM9652-100, FB8390-001
• Format: Letters + Numbers + Hyphen + Numbers (e.g., XX####-###)

Example Input

{
  "styleId": "FD1412-003"
}

Running the Actor

1. Via Apify Console:

   • Navigate to the actor in Apify Console
   • Enter the styleId in the input field
   • Click "Start"

2. Via API:

const input = {
  "styleId": "DZ5485-003"
};

const run = await ApifyClient.actor('THE_ACTOR_ID').call(input);
const { items } = await ApifyClient.dataset(run.defaultDatasetId).listItems();

3. Via Apify SDK:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_API_TOKEN',
});

const input = {
    "styleId": "FD1412-003"
};

const run = await client.actor('THE_ACTOR_ID').call(input);

Output Format

The actor returns a comprehensive JSON object containing:

Price Data

• lowestResellPrice: Minimum prices across all platforms
• resellPrices: Size-by-size pricing for each marketplace

Product Information

• shoeName: Full product name
• brand: Manufacturer (Nike, Jordan, etc.)
• silhoutte: Model line
• styleID: Original style code
• colorway: Color description
• retailPrice: Original MSRP
• releaseDate: Official release date

Links & Images

• resellLinks: Direct URLs to marketplace listings
• imageLinks: High-quality product images
• thumbnail: Preview image URL

Metadata

• currency: Price currency (USD)
• timestamp: Data retrieval time
• success: Operation status
• error: Error messages (if any)

Use Cases

1. Sneaker Resale Business

Track pricing across multiple platforms to identify arbitrage opportunities and optimize your resale margins.

// Monitor price differences
const data = await getSneakerData("DZ5485-003");
const profit = data.lowestResellPrice.stadiumGoods - data.retailPrice;
console.log(`Potential profit: $${profit}`);

2. Price Comparison Tool

Build a sneaker price comparison website that aggregates real-time pricing from all major marketplaces.

3. Investment Tracking

Monitor the resale value of your sneaker collection over time to track ROI and market trends.

4. Market Research

Analyze pricing patterns, size availability, and marketplace trends for business intelligence and forecasting.

5. Automated Alerts

Set up price monitoring to get notified when sneakers hit your target price point.

// Price alert example
const targetPrice = 150;
const data = await getSneakerData("FD1412-003");

if (data.lowestResellPrice.stockX <= targetPrice) {
  sendAlert(`Price dropped to $${data.lowestResellPrice.stockX}!`);
}

6. Inventory Management

For resellers managing large inventories, automate pricing updates based on current market rates.

7. E-commerce Integration

Integrate real-time sneaker pricing into your online store or marketplace platform.

8. Size-Specific Analysis

Identify which sizes command premium prices or offer better value for buyers.

Performance & Reliability

• Fast Execution: Typical runtime under 10 seconds
• Accurate Data: Real-time scraping ensures up-to-date pricing
• Error Handling: Robust error management with detailed error reporting
• Rate Limiting: Built-in delays to respect marketplace policies

Popular Sneakers to Track

Try these trending style IDs:

• FD1412-003 - Jordan 1 Retro High OG All-Star Cool Grey
• DZ5485-003 - Popular Jordan releases
• DM9652-100 - Nike Dunk releases
• FB8390-001 - Limited edition collaborations

Output Example

{
  "lowestResellPrice": {
    "stockX": 67,
    "flightClub": 82,
    "goat": 67,
    "stadiumGoods": 82
  },
  	"resellPrices": {
		"stadiumGoods": [
			{
				"size": "1Y",
				"price": 90
			},
			{
				"size": "1.5Y",
				"price": 90
			},
			{
				"size": "2Y",
				"price": 82
			},
			{
				"size": "2.5Y",
				"price": 82
			},
			{
				"size": "3Y",
				"price": 82
			},
			{
				"size": "3.5Y",
				"price": 82
			},
			{
				"size": "4Y",
				"price": 82
			},
			{
				"size": "4.5Y",
				"price": 82
			},
			{
				"size": "5Y",
				"price": 82
			},
			{
				"size": "5.5Y",
				"price": 82
			},
			{
				"size": "6Y",
				"price": 82
			},
			{
				"size": "6.5Y",
				"price": 82
			},
			{
				"size": "7Y",
				"price": 82
			},
			{
				"size": "7.5Y",
				"price": 82
			},
			{
				"size": "8Y",
				"price": 82
			},
			{
				"size": "8.5Y",
				"price": 82
			},
			{
				"size": "9Y",
				"price": 82
			},
			{
				"size": "9.5Y",
				"price": 82
			},
			{
				"size": "10.5C",
				"price": 82
			},
			{
				"size": "11C",
				"price": 82
			},
			{
				"size": "11.5C",
				"price": 90
			},
			{
				"size": "12C",
				"price": 82
			},
			{
				"size": "12.5C",
				"price": 90
			},
			{
				"size": "13C",
				"price": 82
			},
			{
				"size": "13.5C",
				"price": 95
			}
		]
	},
  "shoeName": "Jordan 1 Retro High OG All-Star Cool Grey (PS)",
  "brand": "Jordan",
  "styleID": "FD1412-003",
  "colorway": "Cool Grey/Sail/Game Royal/Black",
  "retailPrice": 85,
  "releaseDate": "2026-02-12",
  "resellLinks": {
    "stockX": "https://stockx.com/air-jordan-1-retro-high-og-all-star-cool-grey-ps",
    "goat": "http://www.goat.com/sneakers/air-jordan-1-retro-high-og-ps-all-star-cool-grey-fd1412-003"
  },
  "success": true
}

Best Practices

1. Cache Results: Store frequently accessed data to minimize API calls
2. Batch Processing: If tracking multiple sneakers, add delays between requests
3. Error Handling: Always check the success field and error messages
4. Data Freshness: Resell prices change frequently; refresh data regularly for accuracy

Troubleshooting

Common Issues:

• Invalid Style ID: Ensure the style ID format is correct (e.g., "FD1412-003")
• No Data Returned: The sneaker may not be available on tracked marketplaces
• Price Mismatches: Prices update frequently; timestamp shows data freshness

Support & Updates

This actor is regularly maintained to ensure compatibility with marketplace changes and data structure updates. For issues or feature requests, please use the Apify platform's support channels or:

• contact us via Telegram at @pintoflow

Keywords

sneaker resale prices, StockX API, GOAT prices, sneaker price tracker, Jordan resale value, Nike sneaker pricing, sneaker arbitrage, resell market data, sneaker investment, price comparison tool, sneaker marketplace scraper, real-time sneaker prices, sneaker data API, flight club prices, stadium goods pricing