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Naver Image Search API

Scrape Naver Image Search data with one API call. Searches Naver Image: image search across crawled Korean web. Returns images under `data.items[]` with `title`, `link` (image URL), `thumbnail` (preview URL), `sizeheight`, and `sizewidth`. Narrow to a size band with `filter`.

Last updated October 2026Maintained by the SocialCrawl team

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Returns images from Naver's crawl of the Korean web, each with a title, the full image URL, a thumbnail URL, and the image's width and height.

Use it to find Korean web images for a query; it returns the image files, not the pages hosting them.

Searching 68 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
Naver API

What can you do with the Image Search API?

The Image 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/image/search?query=%ED%95%9C%EB%9D%BC%EC%82%B0&display=10"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/naver/image/search",
    params={
    'query': '한라산',
    'display': '10',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()
const response = await fetch(
  "https://www.socialcrawl.dev/v1/naver/image/search?query=%ED%95%9C%EB%9D%BC%EC%82%B0&display=10",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

Parameters

ParameterRequiredDescription
queryYesFree-text search term (UTF-8). Required.
displayNoNumber of items to return per page. Defaults to 10, cap 100; `display=101` returns 400.
startNo1-indexed offset for pagination. Defaults to 1, cap 1000; `start=1001` returns 400.
sortNoSort 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)
filterNoRestrict to an image size band: `all` (default), `large`, `medium`, or `small`. (all | large | medium | small)
sinceNoOnly 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`.
untilNoOnly 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`.
Example Response

What does the Naver Image 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/image/search",
  "data": {
    "items": [
      {
        "post": {
          "id": "https://dry7pvlp22cox.cloudfront.net/mrt-images-prod/2024/09/02/oylq/pAykmNHKKX.jpg",
          "url": "https://dry7pvlp22cox.cloudfront.net/mrt-images-prod/2024/09/02/oylq/pAykmNHKKX.jpg",
          "content": {
            "text": "Sample comment text (redacted).",
            "media_urls": "https://dry7pvlp22cox.cloudfront.net/mrt-images-prod/2024/09/02/oylq/pAykmNHKKX.jpg",
            "thumbnail_url": "https://search.pstatic.net/sunny/?type=b150&src=https%3A%2F%2Fdry7pvlp22cox.cloudfront.net%2Fmrt-images-prod%2F2024%2F09%2F02%2Foylq%2FpAykmNHKKX.jpg",
            "duration_seconds": null
          },
          "author": {
            "username": null,
            "display_name": null,
            "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": null
        },
        "computed": {
          "engagement_rate": null,
          "language": "ko",
          "content_category": "other",
          "estimated_reach": null
        }
      },
      {
        "post": {
          "id": "http://imgnews.naver.net/image/003/2026/02/12/NISI20260212_0021166445_web_20260212161511_20260212161632447.jpg",
          "url": "http://imgnews.naver.net/image/003/2026/02/12/NISI20260212_0021166445_web_20260212161511_20260212161632447.jpg",
          "content": {
            "text": "Sample comment text (redacted).",
            "media_urls": "http://imgnews.naver.net/image/003/2026/02/12/NISI20260212_0021166445_web_20260212161511_20260212161632447.jpg",
            "thumbnail_url": "https://search.pstatic.net/common/?type=b150&src=http%3A%2F%2Fimgnews.naver.net%2Fimage%2F003%2F2026%2F02%2F12%2FNISI20260212_0021166445_web_20260212161511_20260212161632447.jpg",
            "duration_seconds": null
          },
          "author": {
            "username": null,
            "display_name": null,
            "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": null
        },
        "computed": {
          "engagement_rate": null,
          "language": "ko",
          "content_category": "other",
          "estimated_reach": null
        }
      }
    ],
    "total": 2039830,
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoiMTEiLCJlIjoibmF2ZXIvaW1hZ2Uvc2VhcmNoIiwicCI6InN0YXJ0In0",
    "has_more": true,
    "page_size": 10
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T12:40:58.486Z",
  "redacted": true
}

Live sample illustrating the unified response shape. Field values reflect the record you query.

API Details

How does the Naver Image 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

Why SocialCrawl

Why use SocialCrawl for Naver Image Search data?

We handle the complexity of Naver data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

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()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 68 platforms
FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

Contact us
How do I search Naver images with an API?
Send a GET request to /v1/naver/image/search with a keyword in the query parameter. SocialCrawl searches images crawled across the Korean web and returns the image link, a thumbnail URL, and pixel dimensions for each result under data.items.
What fields does the Naver Image endpoint return?
Each item includes title, link (the full-size image URL), thumbnail (a preview URL), and sizeheight and sizewidth in pixels. The dimensions let you filter for high-resolution images before downloading the full-size file.
Can I sort and paginate Naver image results?
Yes. sort accepts sim (relevance, the default) and date (newest first). Use display to set page size and start as the offset to page through more images for the same query beyond the first response.
What does the Naver Image corpus search across?
It searches images indexed from the Korean web, so it surfaces visuals tied to Korean blogs, news, and shopping pages. This makes it a strong source for Korean-context image discovery that general image APIs tend to under-index.
How much does the Naver Image Search API cost?
Each image search costs 1 credit on the standard tier, no matter how many images come back. New accounts get 100 free credits with no credit card required, enough to run roughly 100 image searches before any charge applies.

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