Naver Blog Search API
Scrape Naver Blog Search data with one API call. Searches naver.com/blog. Korea's dominant long-form blogging platform. Returns ranked posts as PostList rows: `post.ext.title` (the post title, `<b>` highlight tags stripped and HTML entities decoded), `post.content.text` (the snippet), `post.author.display_name` (blogger name), `post.author.url`, and `post.published_at`. Naver sends only a calendar date (YYYYMMDD `postdate`), so `published_at` has DAY precision: it is rendered as midnight UTC (`T00:00:00.000Z`), which is a placeholder, not the real publish time. Treat only the date part as meaningful.
Last updated October 2026Maintained by the SocialCrawl team
Returns Naver Blog posts matching a query: post title, link, a text snippet, the blogger's name and blog link, and the publish date.
Use it for long form Korean blog writing, which is where most Korean product reviews and how to guides live.
Searching 68 platforms in parallel
What can you do with the Blog Search API?
The Blog 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/blog/search?query=%EC%86%8C%EC%85%9C%ED%81%AC%EB%A1%A4&display=10"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/naver/blog/search",
params={
'query': '소셜크롤',
'display': '10',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/naver/blog/search?query=%EC%86%8C%EC%85%9C%ED%81%AC%EB%A1%A4&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: sim|date. Defaults to `sim` (relevance) when the corpus supports sort. Values outside this corpus's domain are rejected with a 400 before any upstream call. (sim | date) |
| since | No | Only rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off each page. This list is not in date order, so the walk does not stop at the date: keep following `next_cursor`, and each page costs what a page costs even when every row on it is filtered out. A row with no date is kept. `published_after`, `start_date`, `from_date`, `publish_time` (`yesterday`, `this-week`, `this-month`, `last-3-months`, `last-6-months`) and `max_age_days` are accepted and applied as `since`. |
| until | No | Only rows published on or before this date: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. Newer rows are left off each page and the walk does not stop, so older pages follow. A row with no date is kept. `published_before`, `end_date` and `to_date` are accepted and applied as `until`. |
What does the Naver Blog 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/blog/search",
"data": {
"items": [
{
"post": {
"id": "https://technology-comes-first.tistory.com/70",
"url": "https://technology-comes-first.tistory.com/70",
"content": {
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"media_urls": null,
"thumbnail_url": null,
"duration_seconds": null
},
"author": {
"username": null,
"display_name": "user_91f57f",
"avatar_url": null,
"verified": null
},
"engagement": {
"views": null,
"likes": null,
"comments": null,
"shares": null,
"saves": null
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": null,
"deleted": false
},
"published_at": "2023-03-08T00:00:00.000Z"
},
"computed": {
"engagement_rate": null,
"language": "ko",
"content_category": "other",
"estimated_reach": null
}
},
{
"post": {
"id": "https://blog.naver.com/user_9ff34b/223680034620",
"url": "https://blog.naver.com/user_9ff34b/223680034620",
"content": {
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"media_urls": null,
"thumbnail_url": null,
"duration_seconds": null
},
"author": {
"username": null,
"display_name": "user_e70c7b",
"avatar_url": null,
"verified": null
},
"engagement": {
"views": null,
"likes": null,
"comments": null,
"shares": null,
"saves": null
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": null,
"deleted": false
},
"published_at": "2024-12-02T00:00:00.000Z"
},
"computed": {
"engagement_rate": null,
"language": "ko",
"content_category": "other",
"estimated_reach": null
}
}
],
"total": 546,
"dropped": 0
},
"credits_used": 1,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.eyJ2IjoyLCJjIjoiMTEiLCJlIjoibmF2ZXIvYmxvZy9zZWFyY2giLCJwIjoic3RhcnQifQ",
"has_more": true,
"page_size": 10
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T07:36:13.215Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the Naver Blog 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"
}
}
}Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I access the Naver Blog API?
What fields does the Naver Blog endpoint return?
Can I sort and paginate Naver blog results?
Why search Naver Blog instead of a general blog API?
How much does a Naver Blog API call cost?
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