# Google Shopping Ads Apparel and Footwear Tracker

**Use case:** 

Track Google Shopping ads for apparel and footwear searches like running shoes, jackets, and jeans. This scraper pulls product titles, prices, discount badges, merchant names, and star ratings for every sponsored card in the Shopping tab. Fashion retailers and dropshippers can see which sellers are winning ad placement on core apparel keywords and how their pricing compares.

## Input

```json
{
  "queries": [
    "running shoes",
    "denim jacket",
    "jeans"
  ],
  "countryCode": "US",
  "languageCode": "en",
  "location": "",
  "maxAdsPerQuery": 25,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  }
}
```

## Output

```json
{
  "searchQuery": {
    "label": "Search Query",
    "format": "string"
  },
  "position": {
    "label": "Position",
    "format": "number"
  },
  "productTitle": {
    "label": "Product Title",
    "format": "string"
  },
  "productId": {
    "label": "Google Product ID",
    "format": "string"
  },
  "priceText": {
    "label": "Current Price",
    "format": "string"
  },
  "priceValue": {
    "label": "Price (Decimal)",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "originalPriceText": {
    "label": "Original Price",
    "format": "string"
  },
  "originalPriceValue": {
    "label": "Original Price (Decimal)",
    "format": "number"
  },
  "discountPercent": {
    "label": "Discount %",
    "format": "number"
  },
  "pricePerUnitText": {
    "label": "Per-Unit Price",
    "format": "string"
  },
  "merchant": {
    "label": "Merchant",
    "format": "string"
  },
  "merchantDomain": {
    "label": "Merchant Domain",
    "format": "string"
  },
  "rating": {
    "label": "Rating (out of 5)",
    "format": "number"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "number"
  },
  "reviewCountText": {
    "label": "Review Count (Formatted)",
    "format": "string"
  },
  "deliveryText": {
    "label": "Delivery",
    "format": "string"
  },
  "badgeText": {
    "label": "Promo Badge",
    "format": "string"
  },
  "productImageUrl": {
    "label": "Product Image",
    "format": "string"
  },
  "productDetailUrl": {
    "label": "Detail URL",
    "format": "string"
  },
  "categoryPath": {
    "label": "Category Path",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Shopping Ads Scraper: Extract Live Paid Merchant Ads](https://apify.com/getascraper/google-shopping-ads-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/google-shopping-ads-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/getascraper/google-shopping-ads-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`).