# Track StockX resale prices for a sneaker model

**Use case:** 

Searches StockX for a sneaker model and returns each product with its live market: lowest ask, highest bid, last sale, 72-hour and 90-day sales volume and average price, plus retail price, style ID, colourway, release date and product URL. Change the keyword to follow any model, and run it on a schedule to see how resale prices move before you buy or list.

## Input

```json
{
  "queries": [
    "jordan 1"
  ],
  "currency": "USD",
  "country": "US",
  "sort": "most-active",
  "gender": "",
  "belowRetail": false,
  "maxItems": 100,
  "includeProductDetails": true,
  "includeSizeMarket": false,
  "includeColorFamily": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "verbose": true
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Image",
    "format": "string"
  },
  "title": {
    "label": "Product",
    "format": "string"
  },
  "brand": {
    "label": "Brand",
    "format": "string"
  },
  "styleId": {
    "label": "Style ID",
    "format": "string"
  },
  "market": {
    "label": "Market",
    "format": "object"
  },
  "retailPrice": {
    "label": "Retail",
    "format": "number"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "searchInput": {
    "label": "Search",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The StockX Scraper API - Lowest Ask, Highest Bid & Last Sale Actor is ready to run with the inputs already set for "Track StockX resale prices for a sneaker model". [Sign up or log in](https://console.apify.com/create-task-from-example/Sbgv9CQ0il8OqYysT) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track StockX resale prices for a sneaker model" task

The StockX Scraper API - Lowest Ask, Highest Bid & Last Sale Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, currency, and more, to match your specific use case.

### 3. Receive the "Track StockX resale prices for a sneaker model" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as image, product, brand, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Track StockX resale prices for a sneaker model" task via API](https://apify.com/scrapifier/stockx-scraper.md).

## About this Actor

This example demonstrates how to use [StockX Scraper API - Lowest Ask, Highest Bid & Last Sale](https://apify.com/scrapifier/stockx-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapifier/stockx-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/scrapifier/stockx-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).