# Monitor StockX prices for Nike Dunk Low sneakers

**Use case:** 

Searches StockX for Nike Dunk Low and returns each colorway with last sale, 90-day and 12-month average price, yearly sales count, price premium over retail and volatility. Use it to track the Dunk market or find colorways trading under retail.

## Input

```json
{
  "queries": [
    "nike dunk low"
  ],
  "urls": [
    "https://stockx.com/brands/jordan"
  ],
  "maxProductsPerInput": 60,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "UNBLOCKER"
    ]
  }
}
```

## Output

```json
{
  "title": {
    "label": "Product",
    "format": "string"
  },
  "brand": {
    "label": "Brand",
    "format": "string"
  },
  "lastSale": {
    "label": "Last sale",
    "format": "integer"
  },
  "avgPrice90d": {
    "label": "Avg 90d",
    "format": "integer"
  },
  "avgPriceYear": {
    "label": "Avg 1y",
    "format": "integer"
  },
  "salesCountYear": {
    "label": "Sales/yr",
    "format": "integer"
  },
  "pricePremiumPct": {
    "label": "vs retail %",
    "format": "number"
  },
  "volatility": {
    "label": "Volatility",
    "format": "number"
  },
  "asksAvailable": {
    "label": "Asks avail.",
    "format": "integer"
  },
  "releaseDate": {
    "label": "Released",
    "format": "string"
  },
  "productUrl": {
    "label": "URL",
    "format": "string"
  }
}
```

## How it works

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

The StockX Scraper - Sales Data, Resale Prices & Volume Actor is ready to run with the inputs already set for "Monitor StockX prices for Nike Dunk Low sneakers". [Sign up or log in](https://console.apify.com/create-task-from-example/TqETFv4adwyFZTk1g) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Monitor StockX prices for Nike Dunk Low sneakers" task

The StockX Scraper - Sales Data, Resale Prices & Volume Actor will start running based on the input automatically. You can also change all the input fields, like search terms, stockx browse urls, and more, to match your specific use case.

### 3. Receive the "Monitor StockX prices for Nike Dunk Low sneakers" 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 product, brand, last sale, 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 "Monitor StockX prices for Nike Dunk Low sneakers" task via API](https://apify.com/malek_oweis/stockx-search-price-scraper.md).

## About this Actor

This example demonstrates how to use [StockX Scraper - Sales Data, Resale Prices & Volume](https://apify.com/malek_oweis/stockx-search-price-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/malek_oweis/stockx-search-price-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/malek_oweis/stockx-search-price-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`).