# Rising related queries from Google Trends

**Use case:** 

Top and rising related queries for each seed keyword (here running shoes and protein powder, US, past 3 months) for keyword and content research, plus the interest-over-time line. $1.90 per 1,000 terms on the free plan; terms with no data are free.

## Input

```json
{
  "searchTerms": [
    "running shoes",
    "protein powder"
  ],
  "compareTerms": false,
  "geo": "US",
  "timeRange": "today 3-m",
  "searchProperty": "web",
  "category": "0",
  "outputs": [
    "interestOverTime",
    "relatedQueries"
  ],
  "regionResolution": "REGION",
  "includeLowVolumeRegions": false,
  "startUrls": [],
  "trendingGeos": [
    "US",
    "GB"
  ],
  "trendingHours": "24",
  "trendingMaxItemsPerCountry": 50,
  "trendingIncludeNews": true,
  "language": "en-US",
  "timezoneOffsetMinutes": 0,
  "maxItems": 10,
  "maxConcurrency": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "searchTerm": {
    "label": "Search term"
  },
  "comparedWith": {
    "label": "Compared with"
  },
  "geo": {
    "label": "Geo"
  },
  "timeRange": {
    "label": "Time range"
  },
  "category": {
    "label": "Category"
  },
  "searchProperty": {
    "label": "Search type"
  },
  "averageInterest": {
    "label": "Average interest"
  },
  "peakInterest": {
    "label": "Peak"
  },
  "interestOverTime": {
    "label": "Interest over time"
  },
  "interestByRegion": {
    "label": "Interest by region"
  },
  "relatedQueries": {
    "label": "Related queries"
  },
  "relatedTopics": {
    "label": "Related topics"
  },
  "warnings": {
    "label": "Warnings"
  },
  "error": {
    "label": "Error"
  }
}
```

## How it works

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

The Google Trends Scraper & API: pytrends Alternative Actor is ready to run with the inputs already set for "Rising related queries from Google Trends". [Sign up or log in](https://console.apify.com/create-task-from-example/lUaC1JEVCK4aXw7uT) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Rising related queries from Google Trends" task

The Google Trends Scraper & API: pytrends Alternative Actor will start running based on the input automatically. You can also change all the input fields, like search terms, compare terms on one chart, and more, to match your specific use case.

### 3. Receive the "Rising related queries from Google Trends" 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, compared with, 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 "Rising related queries from Google Trends" task via API](https://apify.com/hiver/google-trends-scraper.md).

## About this Actor

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