# Analyze Seasonal Demand for Air Conditioners and Heaters

**Use case:** 

This task reveals trends for air conditioners and space heaters over the last five years in the U.S. Discover seasonal spikes in interest, helping you understand optimal stock levels for these products. With data specific to your search terms, you can predict demand fluctuations based on historical trends.

## Input

```json
{
  "mode": "searchTerms",
  "searchTerms": [
    "air conditioner",
    "space heater"
  ],
  "compareTerms": false,
  "timeRange": "today 5-y",
  "geo": "US",
  "category": "0",
  "searchProperty": "froogle",
  "includeInterestOverTime": true,
  "includeInterestByRegion": true,
  "includeRelatedQueries": true,
  "includeRelatedTopics": false,
  "regionResolution": "AUTO",
  "includeLowVolumeRegions": false,
  "trendingGeos": [
    "US"
  ],
  "language": "en-US",
  "maxConcurrency": 3,
  "maxRetries": 8,
  "requestDelaySecs": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "residentialFallback": true
}
```

## Output

```json
{
  "searchTerm": {
    "label": "Search term",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "text"
  },
  "value": {
    "label": "Interest",
    "format": "number"
  },
  "hasData": {
    "label": "Has data",
    "format": "boolean"
  },
  "isPartial": {
    "label": "Partial",
    "format": "boolean"
  },
  "geo": {
    "label": "Location",
    "format": "string"
  }
}
```

## How it works

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

The Google Trends Scraper Actor is ready to run with the inputs already set for "Analyze Seasonal Demand for Air Conditioners and Heaters". [Sign up or log in](https://console.apify.com/create-task-from-example/yhkPFZHtiTEEdlAdP) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Analyze Seasonal Demand for Air Conditioners and Heaters" task

The Google Trends Scraper 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 "Analyze Seasonal Demand for Air Conditioners and Heaters" 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, date, interest, 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 "Analyze Seasonal Demand for Air Conditioners and Heaters" task via API](https://apify.com/blueloles/google-trends-scraper.md).

## FAQ

### What trends does this task analyze for air conditioners and heaters?

The Analyze Seasonal Demand for Air Conditioners and Heaters task reveals trends in interest over the last five years for these products in the U.S.

### What output fields does this task return?

The task returns fields including search term, date, interest value, data availability, and geographical location.

### How can I use this task for product stock levels?

This task helps predict demand fluctuations based on historical trends, informing optimal stock levels for air conditioners and heaters.

### Is there an option to run this task automatically?

This task can be scheduled to run automatically using the Apify Console.

### Can I access this task via an API?

The Analyze Seasonal Demand for Air Conditioners and Heaters task can be accessed via the Apify API.

## About this Actor

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