# Naver Search Seasonality Monitor Workflow

**Use case:** 

Build a monthly Naver search seasonality dataset for Korean retail categories and automate repeat exports to analytics tools and warehouses.

## Input

```json
{
  "keywordGroups": [
    {
      "name": "Camping",
      "keywords": [
        "캠핑",
        "캠핑장",
        "글램핑"
      ]
    },
    {
      "name": "Hiking",
      "keywords": [
        "등산",
        "하이킹"
      ]
    }
  ],
  "startDate": "2020-01-01",
  "endDate": "2026-06-30",
  "timeUnit": "month",
  "device": "",
  "gender": "",
  "ages": []
}
```

## Output

```json
{
  "keywordGroup": {
    "label": "Keyword group"
  },
  "period": {
    "label": "Period"
  },
  "ratio": {
    "label": "Interest ratio"
  },
  "timeUnit": {
    "label": "Time unit"
  },
  "device": {
    "label": "Device"
  },
  "gender": {
    "label": "Gender"
  },
  "sourceUrl": {
    "label": "Source URL",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Naver DataLab Search Trends Scraper](https://apify.com/automation-lab/naver-datalab-search-trends-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/naver-datalab-search-trends-scraper) to learn more, explore other use cases, and run it yourself.