# Track AliExpress sales and price changes

**Use case:** 

Tracking mode: schedule it daily or weekly and each run adds how many units each product sold since the last run, price changes and new products in the results. The first run saves the starting point.

## Input

```json
{
  "searchQueries": [
    "smart watch"
  ],
  "maxProductsPerSearch": 60,
  "sortBy": "relevance",
  "shipTo": "US",
  "currency": "USD",
  "minSold": 0,
  "minRating": 0,
  "excludeSponsored": false,
  "includeProducts": true,
  "monitorChanges": true,
  "monitorName": "example-tracker",
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "fallbackToResidential": true,
  "pacingMs": 1500,
  "maxAttempts": 4
}
```

## Output

```json
{
  "rankInSearch": {
    "label": "Rank",
    "format": "number"
  },
  "search": {
    "label": "Search",
    "format": "text"
  },
  "title": {
    "label": "Product",
    "format": "text"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "originalPrice": {
    "label": "Original price",
    "format": "number"
  },
  "discountPercent": {
    "label": "Discount %",
    "format": "number"
  },
  "newUserPrice": {
    "label": "New-customer price",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "sold": {
    "label": "Sold (cumulative, AliExpress-reported)",
    "format": "number"
  },
  "soldText": {
    "label": "Sold (shown)",
    "format": "text"
  },
  "soldIsUnrounded": {
    "label": "Sold count unrounded",
    "format": "boolean"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "avgSoldPerDaySinceListed": {
    "label": "Avg sold/day since listed (lifetime)",
    "format": "number"
  },
  "listedDate": {
    "label": "Listed",
    "format": "date"
  },
  "daysListed": {
    "label": "Days listed",
    "format": "number"
  },
  "isChoice": {
    "label": "Choice",
    "format": "boolean"
  },
  "isSponsored": {
    "label": "Ad",
    "format": "boolean"
  },
  "storeName": {
    "label": "Store (ads)",
    "format": "text"
  },
  "soldSinceLastRun": {
    "label": "Sold since last run",
    "format": "number"
  },
  "priceChangePercent": {
    "label": "Price change %",
    "format": "number"
  },
  "url": {
    "label": "Link",
    "format": "link"
  },
  "image": {
    "label": "Image",
    "format": "image"
  }
}
```

## How it works

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

The AliExpress Product Research Scraper - Winning Products & Sales Actor is ready to run with the inputs already set for "Track AliExpress sales and price changes". [Sign up or log in](https://console.apify.com/create-task-from-example/sso5kCx5dADIPSf1X) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track AliExpress sales and price changes" task

The AliExpress Product Research Scraper - Winning Products & Sales Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, max products per search, and more, to match your specific use case.

### 3. Receive the "Track AliExpress sales and price changes" 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 rank, search, product, 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 AliExpress sales and price changes" task via API](https://apify.com/skydata/aliexpress-product-research-scraper.md).

## About this Actor

This example demonstrates how to use [AliExpress Product Research Scraper - Winning Products & Sales](https://apify.com/skydata/aliexpress-product-research-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/skydata/aliexpress-product-research-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/skydata/aliexpress-product-research-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`).