# What is trending on Google in the US right now

**Use case:** 

Runs Google Trends Data API in trending mode for the United States and returns the current Trending Now board for the last 24 hours: each trending search with Google's own estimated search volume and growth percentage, its start time and related breakdown queries. Change the country code or the window for another market.

## Input

```json
{
  "mode": "trending",
  "keywords": [
    "bitcoin"
  ],
  "startUrls": [],
  "geo": "US",
  "timeRange": "today 12-m",
  "dataTypes": [
    "interest_over_time",
    "interest_by_region",
    "related_queries"
  ],
  "compareKeywords": false,
  "includeKeywordInsights": false,
  "searchType": "",
  "category": "0",
  "language": "en-US",
  "timezoneOffsetMinutes": 0,
  "trendingHours": "24",
  "trendStatus": "all",
  "maxItems": 100,
  "maxRunSeconds": 3600,
  "maxRetriesPerRequest": 8,
  "rotateAfterRequests": 24,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "keyword": {
    "label": "Keyword"
  },
  "term": {
    "label": "Trending term"
  },
  "dataType": {
    "label": "Dataset"
  },
  "date": {
    "label": "Date"
  },
  "dateLabel": {
    "label": "Date (Google label)"
  },
  "geoName": {
    "label": "Region"
  },
  "geoCode": {
    "label": "Region code"
  },
  "query": {
    "label": "Related query"
  },
  "rankType": {
    "label": "Top / Rising"
  },
  "value": {
    "label": "Value"
  },
  "formattedValue": {
    "label": "Formatted"
  },
  "valueScale": {
    "label": "Scale"
  },
  "searchVolume": {
    "label": "Search volume"
  },
  "growthPercent": {
    "label": "Growth %"
  },
  "isActive": {
    "label": "Active"
  },
  "breakdownQueries": {
    "label": "Breakdown queries"
  },
  "trendsUrl": {
    "label": "Trends URL"
  },
  "link": {
    "label": "Link"
  },
  "hasData": {
    "label": "Has data"
  },
  "geo": {
    "label": "Geo"
  },
  "timeRange": {
    "label": "Time range"
  },
  "categoryIds": {
    "label": "Category IDs"
  },
  "comparisonGroup": {
    "label": "Comparison group"
  },
  "startTimestamp": {
    "label": "Started (epoch)"
  },
  "endTimestamp": {
    "label": "Ended (epoch)"
  },
  "timestamp": {
    "label": "Epoch"
  },
  "newsArticleCount": {
    "label": "News articles"
  },
  "hours": {
    "label": "Window (h)"
  }
}
```

## About this Actor

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