# Google Shopping trends for products

**Use case:** 

How much people search for products on Google Shopping over the past 12 months, from Google Trends. The example tracks air fryers and standing desks in the US. Useful for spotting seasonal demand and deciding what to stock or advertise.

## Input

```json
{
  "mode": "keywords",
  "searchTerms": [
    "air fryer",
    "standing desk"
  ],
  "trendsUrls": [
    "https://trends.google.com/trends/explore?date=today%205-y&geo=US&q=iphone,samsung"
  ],
  "geo": "US",
  "timeRange": "today 12-m",
  "compareTerms": false,
  "includeInterestByRegion": true,
  "includeRelatedQueries": true,
  "trendingHours": "24",
  "maxTrendingItems": 100,
  "category": 0,
  "searchProperty": "froogle",
  "language": "en-US",
  "maxConcurrency": 8,
  "useCache": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "includeRelatedTopics": false
}
```

## Output

```json
{
  "searchTerm": {
    "label": "Search term"
  },
  "geo": {
    "label": "Location"
  },
  "timeRange": {
    "label": "Time range"
  },
  "searchProperty": {
    "label": "Search type"
  },
  "averageInterest": {
    "label": "Average interest",
    "format": "number"
  },
  "peak": {
    "label": "Peak",
    "format": "object"
  },
  "topRegions": {
    "label": "Top regions"
  },
  "topRelatedQueries": {
    "label": "Top related queries"
  },
  "risingRelatedQueries": {
    "label": "Rising related queries"
  },
  "comparedWith": {
    "label": "Compared with",
    "format": "array"
  },
  "status": {
    "label": "Status"
  },
  "error": {
    "label": "Error"
  },
  "warnings": {
    "label": "Warnings",
    "format": "array"
  },
  "sourceUrl": {
    "label": "Source link",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "date"
  }
}
```

## How it works

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

The Google Trends Scraper & API Actor is ready to run with the inputs already set for "Google Shopping trends for products". [Sign up or log in](https://console.apify.com/create-task-from-example/eHIjebkIOIfegpxSM) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Google Shopping trends for products" task

The Google Trends Scraper & API Actor will start running based on the input automatically. You can also change all the input fields, like what to scrape, search terms, and more, to match your specific use case.

### 3. Receive the "Google Shopping trends for products" 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 search term, location, time range, 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 "Google Shopping trends for products" task via API](https://apify.com/graylark/google-trends-scraper.md).

## About this Actor

This example demonstrates how to use [Google Trends Scraper & API](https://apify.com/graylark/google-trends-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/graylark/google-trends-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/graylark/google-trends-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`).