Naver Kin Search API
Scrape Naver Kin Search data with one API call. Searches kin.naver.com — Korea's dominant Q&A community (analog of StackOverflow + Quora for the general public). Returns Q&A threads under `data.items[]` with `title`, `link`, and `description` (typically a question or answer excerpt).
Last updated June 2026
Try the Naver Kin Search API
See real data before writing a single line
Searching 42 platforms in parallel
What can you do with the Kin Search API?
The Kin Search endpoint gives you structured Naver data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl "https://www.socialcrawl.dev/v1/naver/kin/search?query=%EC%BD%94%EB%A1%9C%EB%82%98+%EC%A6%9D%EC%83%81" \
-H "x-api-key: YOUR_API_KEY"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/naver/kin/search",
headers={"x-api-key": "YOUR_API_KEY"},
params={"query": "코로나 증상"},
)
data = response.json()const params = new URLSearchParams({
"query": "코로나 증상",
});
const response = await fetch(`https://www.socialcrawl.dev/v1/naver/kin/search?${params}`, {
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: sim|date|point. Defaults to `sim` (relevance) when the corpus supports sort. |
How does the Naver Kin 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 42 platforms covering 10B+ monthly active users.
One schema, every platform
Query 42 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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