# Find LEGO UCS Millennium Falcon Prices on StockX

**Use case:** 

Find StockX listings for LEGO 75192 Millennium Falcon for collectors tracking resale values. Records include lowest ask, highest bid, last sale, annual low and high, and product details. Change the search query to look up another LEGO set.

## Input

```json
{
  "mode": "search",
  "searchQueries": [
    "LEGO 75192"
  ],
  "category": "collectibles",
  "sortBy": "featured",
  "productSlugs": [],
  "startUrls": [],
  "currency": "USD",
  "country": "US",
  "includeProductDetails": true,
  "includeVariants": true,
  "includeSalesHistory": false,
  "salesLimit": 50,
  "salesCondition": "all",
  "maxItems": 20,
  "maxPages": 1
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "text"
  },
  "brand": {
    "label": "Brand",
    "format": "text"
  },
  "category": {
    "label": "Category",
    "format": "text"
  },
  "lowestAsk": {
    "label": "Lowest Ask",
    "format": "number"
  },
  "highestBid": {
    "label": "Highest Bid",
    "format": "number"
  },
  "lastSale": {
    "label": "Last Sale",
    "format": "number"
  },
  "salesLast72Hours": {
    "label": "Sales (72h)",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "productUrl": {
    "label": "URL",
    "format": "link"
  }
}
```

## How it works

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

The StockX Market Price & Sales History Finder Actor is ready to run with the inputs already set for "Find LEGO UCS Millennium Falcon Prices on StockX". [Sign up or log in](https://console.apify.com/create-task-from-example/GeJ79ihugChTM22RN) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find LEGO UCS Millennium Falcon Prices on StockX" task

The StockX Market Price & Sales History Finder Actor will start running based on the input automatically. You can also change all the input fields, like mode, search queries, and more, to match your specific use case.

### 3. Receive the "Find LEGO UCS Millennium Falcon Prices on StockX" 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 title, brand, category, 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 "Find LEGO UCS Millennium Falcon Prices on StockX" task via API](https://apify.com/xyrelith-data/stockx-market-price-and-sales-history-finder.md).

## FAQ

### What LEGO 75192 Millennium Falcon resale prices can I find?

The LEGO resale prices task searches StockX for LEGO 75192 and can return current lowest asks, highest bids, last sales, and product details such as release date and retail price.

### How much does it cost to check LEGO resale prices on StockX?

The LEGO resale prices task costs $0.10 on Free to start, plus $0.99 per 1,000 results; with a 20 result limit, the result charge is at most $0.02 on Free. Apify platform usage for the run is extra.

### Can I export LEGO price results to CSV or Excel?

Results from the LEGO resale prices task land in a dataset that you can download as CSV, Excel, JSON, XML, RSS, or an HTML table, or read through the Apify API.

### How many LEGO listings can one run return?

The LEGO resale prices task is set to return at most 20 results per run. StockX caps each query at 1,000 products, so the task's lower limit applies here.

### How do I search StockX for another LEGO set?

To use the LEGO resale prices task for another set, replace the search phrase with that set's name or number, such as LEGO 75192, and run it from your Apify account.

### Can I run LEGO resale price searches on a schedule or through an API?

You can run the LEGO resale prices task on an Apify Schedule, through the Apify API, or using integrations such as Zapier, Make, and n8n.

## About this Actor

This example demonstrates how to use [StockX Market Price & Sales History Finder](https://apify.com/xyrelith-data/stockx-market-price-and-sales-history-finder.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/xyrelith-data/stockx-market-price-and-sales-history-finder.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/xyrelith-data/stockx-market-price-and-sales-history-finder.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`).