Doc Search Data API
Scrape Naver Doc Search data with one API call. Searches academic.naver.com — Korean academic paper / report / public-document corpus (theses, journal articles, government reports). Returns documents under `data.items[]` with `title`, `link`, and `description`.
Try the Naver Doc Search API
See real data before writing a single line
Searching 28 platforms in parallel
What can you do with the Doc Search API?
The Doc Search endpoint gives you structured Naver data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
GET /v1/naver/doc/search?query=%EB%94%A5%EB%9F%AC%EB%8B%9DParameters
| 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: (sort ignored). Defaults to `sim` (relevance) when the corpus supports sort. |
How does the Naver Doc 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 28 platforms covering 10B+ monthly active users.
One schema, every platform
Query 28 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.
No code required
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 Doc Search data?
Get your API key and start pulling Naver data in under 60 seconds.
