# Google Trends Interest for a Custom Date Range

**Use case:** 

Export Google Trends interest for a campaign or season. Replace black friday deals, the country and the YYYY-MM-DD YYYY-MM-DD date window. Open Interest over time for daily or weekly relative scores; the source chooses granularity. Rerun for another planning window and compare shapes, not absolute search volumes or independently scaled scores.

## Input

```json
{
  "keywords": [
    "black friday deals"
  ],
  "queries": [
    {
      "keywords": [
        "chatgpt",
        "claude ai"
      ],
      "externalId": "ai-assistants"
    },
    {
      "keywords": [
        "electric bike"
      ],
      "geo": "DE",
      "externalId": "ebikes-de"
    },
    {
      "keywords": [
        "electric bike"
      ],
      "geo": "GB",
      "timeframe": "today 12-m",
      "externalId": "ebikes-gb"
    }
  ],
  "geo": "US",
  "timeframe": "2025-10-01 2025-12-31",
  "category": 0,
  "property": "web",
  "dataTypes": [
    "interest_over_time"
  ],
  "mode": "snapshot",
  "outputMode": "all",
  "trendingGeos": [
    "US",
    "GB"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

## Output

```json
{
  "timestamp": {
    "label": "Bucket timestamp",
    "format": "string"
  },
  "keyword": {
    "label": "Keyword",
    "format": "string"
  },
  "value": {
    "label": "Relative value",
    "format": "integer"
  },
  "is_partial": {
    "label": "Partial bucket",
    "format": "boolean"
  },
  "has_data": {
    "label": "Has data",
    "format": "boolean"
  },
  "geo": {
    "label": "Location",
    "format": "string"
  },
  "timeframe": {
    "label": "Timeframe",
    "format": "string"
  },
  "source_scaling_context": {
    "label": "Scaling context",
    "format": "object"
  }
}
```

## About this Actor

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