# Find rising Google searches for Etsy sellers

**Use case:** 

Checks Google Trends for five popular digital-product ideas sold on Etsy (printables, planners, SVG files, templates, stickers) over the last 12 months in the US. You get each idea's interest over time on one 0-100 scale, its peak week, and the top and rising related searches, which are new product ideas. Replace the keywords with your own.

## Input

```json
{
  "searchTerms": [
    "digital planner",
    "printable wall art",
    "svg files",
    "wedding invitation template",
    "sticker sheet"
  ],
  "comparisonMode": "groups",
  "geo": "US",
  "timeRange": "today 12-m",
  "category": "0",
  "gprop": "",
  "language": "en-US",
  "timezoneOffset": 0,
  "interestOverTime": true,
  "interestByRegion": false,
  "regionResolution": "",
  "includeLowSearchVolumeRegions": false,
  "relatedQueries": true,
  "relatedTopics": false,
  "maxRelatedItems": 10,
  "flattenTimeline": false,
  "trendingNow": true,
  "trendingSource": "rss",
  "trendingHours": "24",
  "maxTrendingItems": 10,
  "includeNews": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "useBrowser": "fallback",
  "useEmbedFallback": true,
  "maxRetries": 5,
  "maxConcurrency": 1,
  "requestDelayMs": 1500,
  "requestTimeoutSecs": 30,
  "saveDebugPages": true
}
```

## Output

```json
{
  "term": {
    "label": "Term",
    "format": "text"
  },
  "relatedQueriesTop": {
    "label": "Top queries",
    "format": "array"
  },
  "relatedQueriesRising": {
    "label": "Rising queries",
    "format": "array"
  },
  "relatedTopicsTop": {
    "label": "Top topics",
    "format": "array"
  },
  "relatedTopicsRising": {
    "label": "Rising topics",
    "format": "array"
  }
}
```

## How it works

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

The Google Trends Scraper API & Trending Now Actor is ready to run with the inputs already set for "Find rising Google searches for Etsy sellers". [Sign up or log in](https://console.apify.com/create-task-from-example/2rgbSbYOulIifeBtj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find rising Google searches for Etsy sellers" task

The Google Trends Scraper API & Trending Now Actor will start running based on the input automatically. You can also change all the input fields, like search terms, comparison mode, and more, to match your specific use case.

### 3. Receive the "Find rising Google searches for Etsy sellers" 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 term, top queries, rising queries, 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 rising Google searches for Etsy sellers" task via API](https://apify.com/egra_van/google-trends-reliable.md).

## About this Actor

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