# Find fast-rising air fryer searches for content ideas

**Use case:** 

Pulls the rising and top related searches for air fryer in the Food & Drink category in the United States over the past 12 months, with growth figures such as +90% or Breakout and a link to each query on Google Trends. Food bloggers, recipe sites and kitchen brands use it to pick the next article, video or product page before a topic gets crowded.

## Input

```json
{
  "mode": "explore",
  "searchTerms": [
    "air fryer"
  ],
  "compareTerms": false,
  "trendsUrls": [],
  "geo": "US",
  "timeRange": "today 12-m",
  "category": "71",
  "property": "web",
  "interestOverTime": false,
  "interestByRegion": false,
  "regionResolution": "auto",
  "includeLowVolumeRegions": false,
  "relatedQueries": true,
  "relatedTopics": false,
  "trendingGeos": [
    "US"
  ],
  "trendingHours": "24",
  "trendingCategory": "all",
  "trendingActiveOnly": false,
  "trendingIncludeNews": false,
  "maxTrendingSearches": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "type": {
    "label": "Data type",
    "format": "string"
  },
  "searchTerm": {
    "label": "Search term",
    "format": "string"
  },
  "geo": {
    "label": "Location",
    "format": "string"
  },
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "query": {
    "label": "Query",
    "format": "string"
  },
  "topic": {
    "label": "Topic",
    "format": "string"
  },
  "value": {
    "label": "Value",
    "format": "number"
  },
  "formattedValue": {
    "label": "Shown as",
    "format": "string"
  },
  "link": {
    "label": "Link",
    "format": "string"
  },
  "rising": {
    "label": "Rising",
    "format": "array"
  }
}
```

## How it works

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

The Google Trends Scraper: Interest, Regions, Queries & Trending Actor is ready to run with the inputs already set for "Find fast-rising air fryer searches for content ideas". [Sign up or log in](https://console.apify.com/create-task-from-example/Ofa3ecgYkPjUX2P72) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find fast-rising air fryer searches for content ideas" task

The Google Trends Scraper: Interest, Regions, Queries & Trending Actor will start running based on the input automatically. You can also change all the input fields, like what to scrape, search terms, and more, to match your specific use case.

### 3. Receive the "Find fast-rising air fryer searches for content ideas" 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 data type, search term, location, 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 "Find fast-rising air fryer searches for content ideas" task via API](https://apify.com/stratumics/google-trends-scraper.md).

## About this Actor

This example demonstrates how to use [Google Trends Scraper: Interest, Regions, Queries & Trending](https://apify.com/stratumics/google-trends-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/stratumics/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/stratumics/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`).