Naver Encyc Search API
Scrape Naver Encyc Search data with one API call. Searches terms.naver.com. Naver Knowledge Encyclopedia, a curated reference corpus aggregating dictionaries, technical references, and editorial knowledge entries. Returns entries under `data.items[]` with `title`, `link`, `description`, and `thumbnail`.
Last updated October 2026Maintained by the SocialCrawl team
Returns entries from Naver's Knowledge Encyclopedia: entry title, link, a summary description, and a thumbnail image.
Use it for curated reference definitions, as opposed to kin/search which returns questions asked by the public.
Searching 68 platforms in parallel
What can you do with the Encyc Search API?
The Encyc 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/encyc/search?query=%EC%96%91%EC%9E%90%EC%97%AD%ED%95%99&display=10"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/naver/encyc/search",
params={
'query': '양자역학',
'display': '10',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/naver/encyc/search?query=%EC%96%91%EC%9E%90%EC%97%AD%ED%95%99&display=10",
{
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, cap 100; `display=101` returns 400. |
| start | No | 1-indexed offset for pagination. Defaults to 1, cap 1000; `start=1001` returns 400. |
| sort | No | Sort order. Accepted values: (sort ignored). Defaults to `sim` (relevance) when the corpus supports sort. Values outside this corpus's domain are rejected with a 400 before any upstream call. |
What does the Naver Encyc 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": "naver",
"endpoint": "/v1/naver/encyc/search",
"data": {
"items": [
{
"title": "<b>양자역학</b>",
"link": "https://terms.naver.com/entry.naver?docId=3571786&cid=58941&categoryId=58960",
"description": "도대체 ‘<b>양자역학</b>’이라는 낯선 물리학 이론이 생활과 무슨 관계가 있을까? 이 질문에 대답하기 위해 반도체 없는 컴퓨터를 상상해 보자. 반도체가 없다면 노트북, 스마트폰과 같이 작은 컴퓨터 ",
"thumbnail": "http://openapi-dbscthumb.phinf.naver.net/4749_000_5/20170316145356076_78XSC2B7P.jpg/5_2.jpg?type=m160_160"
},
{
"title": "<b>양자역학</b>",
"link": "https://terms.naver.com/entry.naver?docId=933690&cid=43667&categoryId=43667",
"description": "<b>양자</b>론의 기초를 이루는 물리학의 이론 체계. | 외국어 표기 | 量子力學(한자) quantum mechanics(영어) | 원자ㆍ분자ㆍ 소립자 (素粒子) 등의 미시적 대상에 적용되는 <b>역학</b>으로, 현재 가장 타당성을 지닌 ",
"thumbnail": ""
}
],
"total": 1579,
"dropped": 0
},
"credits_used": 1,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.eyJ2IjoyLCJjIjoiMTEiLCJlIjoibmF2ZXIvZW5jeWMvc2VhcmNoIiwicCI6InN0YXJ0In0",
"has_more": true,
"page_size": 10
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T07:36:22.587Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the Naver Encyc 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?
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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"
}
}
}Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I search the Naver Encyclopedia via API?
What fields does the Naver Encyclopedia endpoint return?
What kind of content is in the Naver Encyclopedia?
Can I paginate Naver Encyclopedia results?
How much does the Naver Encyclopedia API cost?
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