# Naver Brand Search Trends Scraper Example

**Use case:** 

Compare weekly Korean brand search interest with structured Naver DataLab trend records ready for dashboards and recurring SEO reports.

## Input

```json
{
  "keywordGroups": [
    {
      "name": "Samsung",
      "keywords": [
        "삼성",
        "Samsung"
      ]
    },
    {
      "name": "LG",
      "keywords": [
        "엘지",
        "LG"
      ]
    }
  ],
  "startDate": "2026-01-01",
  "endDate": "2026-06-30",
  "timeUnit": "week",
  "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.