# Google Trends: E-Commerce Shopping (Google Shopping)

**Use case:** 

Analyze Black Friday and Cyber Monday search volume demand on Google Shopping vertical.

## Input

```json
{
  "scrapeMode": "EXPLORE_ALL",
  "searchTerms": [
    "black friday deals",
    "cyber monday deals"
  ],
  "timeframe": "today 12-m",
  "geo": "US",
  "category": 0,
  "property": "froogle",
  "trendingGeo": "US",
  "trendingHours": 24,
  "maxItems": 100
}
```

## Output

```json
{
  "recordType": {
    "label": "Record Type",
    "format": "string"
  },
  "query": {
    "label": "Query",
    "format": "string"
  },
  "geo": {
    "label": "Geo Region",
    "format": "string"
  },
  "timeframe": {
    "label": "Timeframe",
    "format": "string"
  },
  "formattedTime": {
    "label": "Formatted Time",
    "format": "string"
  },
  "value": {
    "label": "Interest Value (0-100)",
    "format": "number"
  },
  "formattedTraffic": {
    "label": "Formatted Traffic",
    "format": "string"
  },
  "growthScore": {
    "label": "Growth Rate / Breakout",
    "format": "string"
  },
  "exploreUrl": {
    "label": "Google Trends Explore URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Trends Scraper & Search Intelligence API](https://apify.com/dev00/google-trends-scraper-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dev00/google-trends-scraper-api.md) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dev00/google-trends-scraper-api.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).