# Check what Nike Dunks resell for

**Use case:** 

Resale value of Nike Dunk Low and SB Dunk across StockX, GOAT and Mercari in one row each: 90-day average, lowest ask, sold median and an estimated value.

## Input

```json
{
  "items": [
    "nike dunk low panda",
    "nike sb dunk low"
  ],
  "sources": [
    "stockx",
    "goat",
    "mercari"
  ],
  "mercariSoldComps": 30,
  "candidatesPerSource": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "UNBLOCKER"
    ]
  }
}
```

## Output

```json
{
  "item": {
    "label": "Item",
    "format": "string"
  },
  "estimatedResaleValue": {
    "label": "Est. resale value ($)",
    "format": "number"
  },
  "retailPrice": {
    "label": "Retail ($)",
    "format": "number"
  },
  "resalePremiumPct": {
    "label": "Premium %",
    "format": "number"
  },
  "stockxAvgPrice90d": {
    "label": "StockX 90d avg",
    "format": "number"
  },
  "stockxLastSale": {
    "label": "StockX last sale",
    "format": "number"
  },
  "goatLowestAsk": {
    "label": "GOAT lowest ask",
    "format": "number"
  },
  "mercariSoldMedian": {
    "label": "Mercari sold median",
    "format": "number"
  },
  "mercariSoldCount": {
    "label": "Mercari sales",
    "format": "integer"
  },
  "valueBasedOn": {
    "label": "Based on",
    "format": "array"
  }
}
```

## How it works

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

The Resale Price Checker - StockX, GOAT & Mercari Value Actor is ready to run with the inputs already set for "Check what Nike Dunks resell for". [Sign up or log in](https://console.apify.com/create-task-from-example/m7cHjF26BBmNu6Xah) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Check what Nike Dunks resell for" task

The Resale Price Checker - StockX, GOAT & Mercari Value Actor will start running based on the input automatically. You can also change all the input fields, like items to price, marketplaces, and more, to match your specific use case.

### 3. Receive the "Check what Nike Dunks resell for" 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 item, est. resale value ($), retail ($), 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 "Check what Nike Dunks resell for" task via API](https://apify.com/malek_oweis/resale-price-checker.md).

## About this Actor

This example demonstrates how to use [Resale Price Checker - StockX, GOAT & Mercari Value](https://apify.com/malek_oweis/resale-price-checker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/malek_oweis/resale-price-checker.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/resale-price-checker.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`).
