# Google Trends Seasonality for a Content Calendar

**Use case:** 

For ecommerce and content teams planning what to publish and when. This run takes 10 seasonal US retail keywords over 5 years and returns each keyword's strongest months and how seasonal it is. Publish a few weeks before the peak month. Cost: 10 keywords at $0.002 plus $0.003 each for signals = at most $0.05 a run.

## Input

```json
{
  "keywords": [
    "patio furniture",
    "fire pit",
    "space heater",
    "air conditioner",
    "christmas lights",
    "halloween decorations",
    "back to school supplies",
    "pool float",
    "humidifier",
    "snow blower"
  ],
  "geo": "US",
  "timeRange": "today 5-y",
  "category": 0,
  "property": "",
  "includeTimeseries": true,
  "includeSummary": true,
  "includeSignals": true,
  "includeRegions": false,
  "regionResolution": "REGION",
  "includeLowVolumeRegions": false,
  "includeRelatedQueries": false,
  "includeRelatedTopics": false,
  "includeTrending": false,
  "rescale": "auto",
  "maxConcurrency": 2,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "type": {
    "label": "Type"
  },
  "keyword": {
    "label": "Keyword"
  },
  "geo": {
    "label": "Geo"
  },
  "timeRange": {
    "label": "Time range"
  },
  "date": {
    "label": "Date"
  },
  "value": {
    "label": "Value"
  },
  "valueText": {
    "label": "Value text"
  },
  "geoName": {
    "label": "Geo name"
  },
  "query": {
    "label": "Query"
  },
  "metric": {
    "label": "Metric"
  },
  "title": {
    "label": "Title"
  },
  "approxTraffic": {
    "label": "Approx traffic"
  },
  "stage": {
    "label": "Stage"
  },
  "message": {
    "label": "Message"
  }
}
```

## How it works

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

The Google Trends Scraper & API: 100 Keywords, One Scale Actor is ready to run with the inputs already set for "Google Trends Seasonality for a Content Calendar". [Sign up or log in](https://console.apify.com/create-task-from-example/u9Xk0PnEeZzN8lTiA) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Google Trends Seasonality for a Content Calendar" task

The Google Trends Scraper & API: 100 Keywords, One Scale Actor will start running based on the input automatically. You can also change all the input fields, like keywords, location, and more, to match your specific use case.

### 3. Receive the "Google Trends Seasonality for a Content Calendar" 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 type, keyword, geo, 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 Trends Seasonality for a Content Calendar" task via API](https://apify.com/brainfoods_studio/google-trends-scraper.md).

## About this Actor

This example demonstrates how to use [Google Trends Scraper & API: 100 Keywords, One Scale](https://apify.com/brainfoods_studio/google-trends-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/brainfoods_studio/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/brainfoods_studio/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`).