# Discover what people search alongside a keyword

**Use case:** 

Returns the top and rising related queries for a term. Rising entries that Google marks "Breakout" grew beyond measuring; they are flagged as such rather than reported as a zero, so a breakout is never mistaken for no interest.

## Input

```json
{
  "keywords": [
    "protein powder"
  ],
  "compare": true,
  "geo": "US",
  "timeRange": "today 12-m",
  "category": 0,
  "includeRegion": false,
  "includeRelated": true,
  "includeTimeline": true,
  "maxConcurrency": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "rank": {
    "label": "#",
    "format": "number"
  },
  "keyword": {
    "label": "Keyword",
    "format": "text"
  },
  "averageValue": {
    "label": "Average",
    "format": "number"
  },
  "latestValue": {
    "label": "Latest",
    "format": "number"
  },
  "recentChangePercent": {
    "label": "Recent quarter vs prior (%)",
    "format": "number"
  },
  "recentChangeVsGroup": {
    "label": "vs the rest of the group (pp)",
    "format": "number"
  },
  "peakValue": {
    "label": "Peak",
    "format": "number"
  },
  "peakDate": {
    "label": "Peak date",
    "format": "text"
  },
  "sharedScale": {
    "label": "Shared 0–100 scale",
    "format": "boolean"
  },
  "scaleConfidence": {
    "label": "Scale confidence",
    "format": "text"
  },
  "scaleAnchor": {
    "label": "Joined via",
    "format": "text"
  },
  "scaleGroup": {
    "label": "Same request as",
    "format": "array"
  },
  "comparedWith": {
    "label": "Compared with",
    "format": "array"
  },
  "geo": {
    "label": "Country",
    "format": "text"
  },
  "timeRange": {
    "label": "Time range",
    "format": "text"
  },
  "noData": {
    "label": "No volume",
    "format": "boolean"
  },
  "trendsUrl": {
    "label": "Check on Google",
    "format": "link"
  }
}
```

## How it works

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

The Google Trends Scraper — Compare 100 Keywords on One Scale Actor is ready to run with the inputs already set for "Discover what people search alongside a keyword". [Sign up or log in](https://console.apify.com/create-task-from-example/sinwLNbi6POjNXqIU) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Discover what people search alongside a keyword" task

The Google Trends Scraper — Compare 100 Keywords on One Scale Actor will start running based on the input automatically. You can also change all the input fields, like keywords, compare keywords on one scale, and more, to match your specific use case.

### 3. Receive the "Discover what people search alongside a keyword" 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 #, keyword, average, 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 "Discover what people search alongside a keyword" task via API](https://apify.com/evanlin/google-trends-scraper.md).

## About this Actor

This example demonstrates how to use [Google Trends Scraper — Compare 100 Keywords on One Scale](https://apify.com/evanlin/google-trends-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/evanlin/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/evanlin/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`).