> ## Documentation Index
> Fetch the complete documentation index at: https://docs.scrapebadger.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Shopping Categories

> The static top-level Naver Shopping category taxonomy — 11 root category ids and names. Free.

Return the **top-level Naver Shopping taxonomy** — the 11 root categories with their ids and names. Use the ids to scope the ranking, keyword and search endpoints. This is static reference data and is served free.

**Credits:** 0

<Note>
  This endpoint is free (**0 credits**) — static public taxonomy, no upstream fetch.
</Note>

## Authorization

<ParamField header="X-API-Key" type="string" required>
  Your ScrapeBadger API key.
</ParamField>

## Response

<ResponseField name="result_count" type="integer">Number of root categories (11).</ResponseField>

<ResponseField name="categories" type="Category[]">
  Root categories.

  <Expandable title="Category">
    <ResponseField name="category_id" type="string" />

    <ResponseField name="name" type="string" />
  </Expandable>
</ResponseField>

## Example

<CodeGroup>
  ```bash cURL theme={null}
  curl "https://scrapebadger.com/v1/naver/shopping/categories" \
    -H "X-API-Key: YOUR_API_KEY"
  ```

  ```javascript Node.js theme={null}
  const res = await fetch(
    "https://scrapebadger.com/v1/naver/shopping/categories",
    { headers: { "X-API-Key": process.env.SCRAPEBADGER_API_KEY } },
  );
  const data = await res.json();
  ```

  ```python Python theme={null}
  import requests

  res = requests.get(
      "https://scrapebadger.com/v1/naver/shopping/categories",
      headers={"X-API-Key": "YOUR_API_KEY"},
  )
  data = res.json()
  ```
</CodeGroup>

```json Response theme={null}
{
  "result_count": 11,
  "categories": [
    {
      "category_id": "50000000",
      "name": "패션의류"
    },
    {
      "category_id": "50000001",
      "name": "패션잡화"
    },
    {
      "category_id": "50000002",
      "name": "화장품/미용"
    }
  ]
}
```


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