# Biggest Google sports trends of the past week (US)

**Use case:** 

The biggest sports searches that trended on Google in the US over the past 7 days, sorted by search volume, with start time, duration and related searches.

## Input

```json
{
  "keywords": [
    "taylor swift"
  ],
  "matchMode": "contains",
  "searchRelatedSearches": true,
  "geos": [
    "US"
  ],
  "includeSubregions": false,
  "categories": [
    "Sports"
  ],
  "minSearchVolume": 0,
  "sortBy": "searchVolume",
  "maxResults": 100,
  "includeAcademicArchive": true
}
```

## Output

```json
{
  "startedAt": {
    "label": "Started at",
    "format": "string"
  },
  "geo": {
    "label": "Geo",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "searchVolume": {
    "label": "Search volume",
    "format": "number"
  },
  "relatedSearches": {
    "label": "Related searches",
    "format": "array"
  }
}
```

## How it works

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

The Google Trending Now History Actor is ready to run with the inputs already set for "Biggest Google sports trends of the past week (US)". [Sign up or log in](https://console.apify.com/create-task-from-example/KsPe8wC6gl2x3gbnb) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Biggest Google sports trends of the past week (US)" task

The Google Trending Now History Actor will start running based on the input automatically. You can also change all the input fields, like keywords, keyword match, and more, to match your specific use case.

### 3. Receive the "Biggest Google sports trends of the past week (US)" 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 started at, geo, title, 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 "Biggest Google sports trends of the past week (US)" task via API](https://apify.com/seodatalab/google-trending-now-history.md).

## FAQ

### Can I pick another category?

Yes: Politics, Entertainment, Business and Finance, Technology and more. Categories are available from Nov 2026 onward.

### How fresh is the data?

Updated every morning (UTC) with every trend from the past 24 hours, for all 1,358 locations.

## About this Actor

This example demonstrates how to use [Google Trending Now History](https://apify.com/seodatalab/google-trending-now-history.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/seodatalab/google-trending-now-history.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/seodatalab/google-trending-now-history.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`).