# Coffee vs tea in Google Trends, US, last 12 months

**Use case:** 

Google Trends interest over time for coffee against tea in the United States over the last 12 months, the same numbers the explore page shows, with the averages, interest by state and related queries. Put any 2 to 5 terms in the comparison.

## Input

```json
{
  "mode": "explore",
  "searchTerms": [
    "coffee",
    "matcha",
    "/m/02vqfm"
  ],
  "comparisons": [
    "coffee, tea"
  ],
  "geo": "US",
  "timeRange": "today 12-m",
  "category": 0,
  "property": "web",
  "sections": [
    "interestOverTime",
    "interestByRegion",
    "relatedQueries"
  ],
  "regionResolution": "",
  "includeLowVolumeRegions": false,
  "language": "en-US",
  "timezoneOffsetMinutes": 0,
  "trendingGeos": [
    "US",
    "GB",
    "FR"
  ],
  "trendingHours": "24",
  "trendingCategories": [],
  "trendingActiveOnly": false,
  "maxTrendingPerGeo": 0,
  "proxy": "auto"
}
```

## Output

```json
{
  "query": {
    "label": "Query"
  },
  "geo": {
    "label": "Location"
  },
  "date": {
    "label": "Date (UTC)"
  },
  "dateLabel": {
    "label": "Period"
  },
  "term": {
    "label": "Term"
  },
  "value": {
    "label": "Interest",
    "format": "number"
  },
  "isPartial": {
    "label": "Partial",
    "format": "boolean"
  },
  "hasData": {
    "label": "Has data",
    "format": "boolean"
  },
  "interestOverTime": {
    "label": "Interest over time"
  }
}
```

## How it works

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

The Google Trends Scraper: Interest, Related and Trending Now Actor is ready to run with the inputs already set for "Coffee vs tea in Google Trends, US, last 12 months". [Sign up or log in](https://console.apify.com/create-task-from-example/c3agK0jqCdOu2SHw7) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Coffee vs tea in Google Trends, US, last 12 months" task

The Google Trends Scraper: Interest, Related and Trending Now Actor will start running based on the input automatically. You can also change all the input fields, like what to read, search terms, and more, to match your specific use case.

### 3. Receive the "Coffee vs tea in Google Trends, US, last 12 months" 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 query, location, date (utc), 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 "Coffee vs tea in Google Trends, US, last 12 months" task via API](https://apify.com/agenttoolworks/google-trends-scraper.md).

## About this Actor

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