# Google Shopping product trends

**Use case:** 

Track product demand on Google Shopping with the Google Trends Shopping filter. Put up to 5 products on one scale and get the timeline, the winner, the strongest regions and rising shopping searches for each. Useful for ecommerce, product research and seasonal stock planning. Swap in your own products and export to JSON, CSV or Excel.

## Input

```json
{
  "mode": "compare",
  "searchTerms": [
    "air fryer",
    "espresso machine",
    "stand mixer"
  ],
  "geo": "US",
  "timeRange": "today 12-m",
  "sections": [
    "interestOverTime",
    "interestByRegion",
    "relatedQueries"
  ],
  "regionResolution": "auto",
  "regionLevels": [],
  "includeSeasonality": false,
  "seasonalityLeadDays": 30,
  "includeLowVolumeRegions": false,
  "includeRegionsWithNoData": false,
  "property": "froogle",
  "language": "en-US",
  "tz": 0,
  "trendingSource": "rss",
  "trendingHours": 24,
  "trendingCategories": [],
  "activeOnly": false,
  "trendingStatus": "all",
  "trendingSort": "relevance",
  "maxTrendsPerCountry": 0,
  "minSearchVolume": 0,
  "trendingLanguage": "",
  "trendingConcurrency": 1,
  "chainComparisons": false,
  "anchorTerm": "",
  "bridgeRemeasurement": false,
  "bridgeTerm": "",
  "bridgeTerms": [],
  "compareLocations": false,
  "comparePeriods": false,
  "advancedQueries": [],
  "fileHasHeader": false,
  "outputFormat": "nested",
  "compactOutput": false,
  "excludeEmptyFields": false,
  "maxItems": 0,
  "maxQueries": 0,
  "maxRegions": 0,
  "maxRelatedItems": 0,
  "maxRunSeconds": 0,
  "separateDatasets": false,
  "monitorMode": false,
  "monitorSensitivity": "normal",
  "monitorRetentionHours": 168,
  "resetMonitoringState": false,
  "onlyNew": false,
  "onlyChanges": false,
  "cachedResultOnRefusal": false,
  "cacheMaxAgeHours": 24,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "useProxy": true,
  "dailyResolution": false,
  "sampleCount": 1,
  "sampleAggregation": "mean",
  "directFirst": true,
  "maxConcurrency": 5,
  "maxRetries": 6,
  "retryCooldownSecs": 15,
  "circuitBreakerFailures": 0,
  "requestTimeoutSecs": 30,
  "requestDelayMs": 0,
  "rotateAfterRequests": 0,
  "categoryId": 0,
  "failOnErrors": false,
  "saveDebugPages": false
}
```

## Output

```json
{
  "type": {
    "label": "Row type"
  },
  "comparisonGroup": {
    "label": "comparisonGroup"
  },
  "geo": {
    "label": "Country / region"
  },
  "timeRange": {
    "label": "Time range"
  },
  "valueScale": {
    "label": "Value scale"
  },
  "isBridgeGroup": {
    "label": "Bridge group"
  }
}
```

## 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 product trends". [Sign up or log in](https://console.apify.com/create-task-from-example/Y99dsqHpjgKrYioVq) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Google Shopping product trends" 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, keywords or topics, and more, to match your specific use case.

### 3. Receive the "Google Shopping product trends" 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 row type, comparisongroup, country / region, 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 product trends" task via API](https://apify.com/suslabs/google-trends-scraper.md).

## About this Actor

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