# Compare fintech search interest in India

**Use case:** 

Compares Google Trends interest for competing fintech search terms scoped to India, with related queries and a regional breakdown, so a content or SEO team can see which loan-related terms are actually rising before committing a content calendar to them.

## Input

```json
{
  "keywords": [
    "personal loan",
    "instant loan app"
  ],
  "timeframe": "today 3-m",
  "geo": "IN",
  "includeInterestOverTime": true,
  "includeRelatedQueries": true,
  "includeRelatedTopics": false,
  "includeInterestByRegion": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "keyword": {
    "label": "Keyword",
    "format": "string"
  },
  "geo": {
    "label": "Region",
    "format": "string"
  },
  "timeframe": {
    "label": "Timeframe",
    "format": "string"
  },
  "scraped_at": {
    "label": "Scraped At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Trends Scraper | 4 Report Types, No Browser, No Key](https://apify.com/themineworks/google-trends-pro.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/themineworks/google-trends-pro.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/themineworks/google-trends-pro.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).