# Find the fastest-rising related searches for your topics

**Use case:** 

For each topic, the related searches Google Trends marks as rising or breakout, with their growth, plus the top related searches. A quick source of new content and product ideas before they get crowded.

## Input

```json
{
  "keywords": [
    "skincare",
    "dog food",
    "coffee",
    "running shoes",
    "houseplants"
  ],
  "trendsUrls": [
    "https://trends.google.com/trends/explore?q=air%20fryer,standing%20desk&geo=US"
  ],
  "compareKeywords": false,
  "geo": "US",
  "timeRange": "past_90_days",
  "searchType": "web",
  "category": 0,
  "includeRegions": true,
  "regionResolution": "auto",
  "includeRelatedQueries": true,
  "maxConcurrency": 5,
  "failOnErrors": false
}
```

## Output

```json
{
  "keyword": {
    "label": "Keyword",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "summary.text": {
    "label": "Summary",
    "format": "string"
  },
  "summary.momentum": {
    "label": "Momentum",
    "format": "string"
  },
  "summary.recentChangePct": {
    "label": "Recent change %",
    "format": "integer"
  },
  "summary.yearOnYearChangePct": {
    "label": "Year on year %",
    "format": "integer"
  },
  "summary.peakDate": {
    "label": "Peak",
    "format": "string"
  },
  "summary.seasonal": {
    "label": "Seasonal",
    "format": "boolean"
  },
  "summary.seasonalPeakMonth": {
    "label": "Seasonal peak",
    "format": "string"
  },
  "summary.topRisingQuery": {
    "label": "Top rising related search",
    "format": "string"
  },
  "summary.topRisingQueryGrowth": {
    "label": "Growth",
    "format": "string"
  },
  "geo": {
    "label": "Location",
    "format": "string"
  },
  "timeRange": {
    "label": "Time range",
    "format": "string"
  },
  "searchType": {
    "label": "Search type",
    "format": "string"
  },
  "comparedWith": {
    "label": "Compared with",
    "format": "array"
  }
}
```

## About this Actor

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