# Python vs Java: Compare Search Popularity

**Use case:** 

Twelve months of weekly worldwide Google Trends interest scores for Python and Java.

## Input

```json
{
  "keywords": [
    "python",
    "java"
  ],
  "timeframe": "today 12-m",
  "geo": "",
  "category": 0,
  "searchProperty": "",
  "includeRelatedQueries": true,
  "includeInterestByRegion": true,
  "geoResolution": "COUNTRY",
  "language": "en-US",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "interest_over_time": {
    "label": "Interest over time",
    "format": "array"
  },
  "keywords": {
    "label": "Keywords",
    "format": "array"
  },
  "geo": {
    "label": "Geo",
    "format": "string"
  },
  "timeframe": {
    "label": "Timeframe",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "date"
  },
  "values": {
    "label": "Interest by keyword",
    "format": "object"
  },
  "is_partial": {
    "label": "Partial period",
    "format": "boolean"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

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