# Google Trends data for Singapore

**Use case:** 

Track search interest over time for any keyword in Singapore. Returns the interest curve plus related and rising queries, ready to export.

## Input

```json
{
  "keywords": [
    "coffee"
  ],
  "geo": "SG",
  "timeRange": "today 3-m",
  "compareKeywords": false,
  "trendingGeos": [],
  "trendingHours": 24,
  "maxTrendingPerGeo": 500,
  "language": "en-US",
  "timezoneOffset": -330,
  "concurrency": 5,
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "type": {
    "label": "Type"
  },
  "keyword": {
    "label": "Keyword"
  },
  "term": {
    "label": "Term"
  },
  "geo": {
    "label": "Geo"
  },
  "rank": {
    "label": "Rank"
  },
  "value": {
    "label": "Interest"
  },
  "searchVolume": {
    "label": "Volume"
  },
  "growthPercent": {
    "label": "Growth %"
  },
  "articleCount": {
    "label": "Articles"
  },
  "date": {
    "label": "Date"
  },
  "startedAt": {
    "label": "Started"
  },
  "relatedQueries": {
    "label": "Related"
  },
  "url": {
    "label": "URL"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Trends Scraper](https://apify.com/goat255/google-trends-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/goat255/google-trends-scraper) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/goat255/google-trends-scraper.md

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