Naver Place Search API
Scrape Naver Place Search data with one API call. Returns the Naver Map place list for a keyword, as a person at one point sees it: organic places first in Naver's own order, each with `place.ext.rank` (1-based), then the paid 플레이스 광고 slots with `place.ext.is_ad: true` and `place.ext.ad_rank`. Each place carries its id (chains into GET /v1/naver/place and /v1/naver/place/reviews), name, category, address, phone, coordinates, distance from the point in metres, open status, visitor and blog review counts, and booking link. Naver ranks by distance from the person searching: send `lat` and `lng` for the point, or the search is made from Gangnam Station. Ad slots are returned only with `ads=true`. If the main list cannot be read, the call is answered from a second Naver list: the first 30 places, without distance, open status or ad slots.
Last updated October 2026Maintained by the SocialCrawl team
Returns the Naver Map place list for a keyword at one point, in Naver's order: rank, name, category, address, distance, status, review counts, and ad slots on request.
Use it to see who ranks around you for a keyword, competitors included. Use naver/place/rank for one place's position.
Searching 68 platforms in parallel
What can you do with the Place Search API?
The Place 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/place/search?query=%EC%8B%A0%EC%82%AC%EC%97%AD+%EC%A0%95%ED%98%95%EC%99%B8%EA%B3%BC&lat=37.5164&lng=127.0200"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/naver/place/search",
params={
'query': '신사역 정형외과',
'lat': '37.5164',
'lng': '127.0200',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/naver/place/search?query=%EC%8B%A0%EC%82%AC%EC%97%AD+%EC%A0%95%ED%98%95%EC%99%B8%EA%B3%BC&lat=37.5164&lng=127.0200",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| query | Yes | The keyword, exactly as a person types it into Naver Map, e.g. `신사역 정형외과`. |
| lat | No | Latitude of the point to search from (send with lng). Default: Gangnam Station. |
| lng | No | Longitude of the point to search from (send with lat). |
| limit | No | How many organic places to return, 1 to 100 (default 100). The price is the same at any limit. |
| ads | No | Also return the paid 플레이스 광고 slots, after the organic places (default false). |
What does the Naver Place 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": "target",
"endpoint": "/v1/target/stores",
"data": {
"items": [
{
"place": {
"id": "3412",
"name": "Chelsea 23rd and 8th",
"url": null,
"category": null,
"rating": {
"value": null,
"max": null
},
"reviews_count": null,
"price_level": null,
"address": "258 8th Ave, New York, NY 10011-1619",
"phone": "646-720-0024",
"latitude": null,
"longitude": null,
"verified": null,
"description": null,
"image_urls": null,
"ext": {
"distance": 0.37,
"status": "Open",
"timezone": "America/New_York",
"hours": [
{
"date": "2026-09-16",
"day_name": "Wednesday",
"is_open": true,
"opens_at": "08:00:00",
"closes_at": "23:00:00"
},
{
"date": "2026-09-17",
"day_name": "Thursday",
"is_open": true,
"opens_at": "08:00:00",
"closes_at": "23:00:00"
}
]
}
}
},
{
"place": {
"id": "3277",
"name": "Manhattan Herald Square",
"url": null,
"category": null,
"rating": {
"value": null,
"max": null
},
"reviews_count": null,
"price_level": null,
"address": "112 W 34th St, New York, NY 10120-0101",
"phone": "646-968-4739",
"latitude": null,
"longitude": null,
"verified": null,
"description": null,
"image_urls": null,
"ext": {
"distance": 0.42,
"status": "Open",
"timezone": "America/New_York",
"hours": [
{
"date": "2026-09-16",
"day_name": "Wednesday",
"is_open": true,
"opens_at": "08:00:00",
"closes_at": "23:00:00"
},
{
"date": "2026-09-17",
"day_name": "Thursday",
"is_open": true,
"opens_at": "08:00:00",
"closes_at": "23:00:00"
}
]
}
}
}
],
"total": 20,
"dropped": 0
},
"credits_used": 1,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": null,
"has_more": false,
"page_size": 20
},
"credits_remaining": 9999,
"redacted": true
}Example captured from the Target API. Every SocialCrawl endpoint returns this same unified schema, so your Naver Place Search response has the same fields.
How does the Naver Place Search API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
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 68 platforms covering 10B+ monthly active users.
One schema, every platform
Query 68 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record 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"
}
}
}Ready to scrape Naver Place Search data?
Get your API key and start pulling Naver data in under 60 seconds.
