Naver Local Search API
Scrape Naver Local Search data with one API call. Searches map.naver.com places — Korean business / point-of-interest catalog. Returns places under `data.items[]` with `title`, `link`, `category`, `description`, `telephone`, `address` (legal-district), `roadAddress` (street), `mapx` / `mapy` (KATEC coordinates). Note: `display` is capped at 5 and `start` at 1 for this corpus — Naver returns HTTP 400 above those bounds.
Last updated July 2026
Try the Naver Local Search API
See real data before writing a single line
Searching 44 platforms in parallel
What can you do with the Local Search API?
The Local Search endpoint gives you structured Naver data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/naver/local/search?query=%EA%B0%95%EB%82%A8%EC%97%AD+%EC%B9%B4%ED%8E%98"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/naver/local/search",
params={
'query': '강남역 카페',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/naver/local/search?query=%EA%B0%95%EB%82%A8%EC%97%AD+%EC%B9%B4%ED%8E%98",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| query | Yes | Free-text search term (UTF-8). Required. |
| display | No | Number of items to return per page. Defaults to 10. Standard cap 100 (local corpus caps at 5). |
| start | No | 1-indexed offset for pagination. Defaults to 1. Standard cap 1000 (local corpus caps at 1). |
| sort | No | Sort order. Accepted values: random|comment (display max 5, start max 1). Defaults to `sim` (relevance) when the corpus supports sort. |
What does the Naver Local Search API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"success": true,
"platform": "google",
"endpoint": "/v1/google/search",
"data": {
"items": [
{
"title": "My Top 50 London Restaurants (26 Jan-9 Feb 2025)",
"url": "https://anguscolwell.substack.com/p/my-top-50-london-restaurants-26-jan",
"description": "Feb 9, 2025 · 1) Bouchon Racine, Farringdon. I'm completely obsessed with it, I love it more than anywhere else, it's operating on a level above any other ..."
},
{
"title": "The 38 Best London Restaurants According to Eater's Local Dining ...",
"url": "https://www.eater.com/maps/best-london-restaurants-eater-38",
"description": "The best meals in London, from Michelin fine dining to beloved street food, according to a longtime restaurant editor."
},
{
"title": "LONDON by The MICHELIN Guide",
"url": "https://guide.michelin.com/us/en/travel-guide/london",
"description": "Discover the beloved restaurants and exciting new openings that everyone is talking about: London's bustling pubs, MICHELIN-Starred restaurants that are among ..."
}
]
},
"dropped": 0,
"credits_used": 1,
"credits_remaining": 9999,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.eyJ2IjoyLCJjIjoiMiIsInAiOiJwYWdlIn0",
"has_more": true,
"page_size": 10
}
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the Naver Local Search API work?
Send a GET request with your API key and get back clean, structured JSON. Every response follows our unified schema with computed fields.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 44 platforms covering 10B+ monthly active users.
One schema, every platform
Query 44 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
Every response includes engagement_rate, estimated_reach, content_category, and language — ready to use.
See your data before you code
Visual Data Explorer — paste any URL, get rich result cards, sortable tables, CSV export.
import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
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