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Reddit Search Media API

API 한 번의 호출로 Reddit Search Media 데이터를 받아 가세요. Searches Reddit's media-scoped index: the posts a keyword search would return, filtered to those that actually carry an image, a video or a gallery. Use it when you want visual content for a topic and do not want to filter a mixed page yourself. Up to 25 posts per page, each with the title, the score, the comment count, the subreddit, the upvote ratio, the flair, the author avatar, the thumbnail and the media at `content.media_urls` — an array on a gallery post and a single-element array otherwise. Reddit's operators work in `query` here too, so `subreddit:name terms` scopes the sweep to one community. `timeframe` applies on `sort=relevance`, `sort=top` and `sort=comment_count`; it has no effect on `sort=new`, which is already newest-first. Paginate with `cursor`. When the main source is down, a backup serves the first page and offers a `cursor` on `sort=top` only, for one more page of 25; on other sorts that page carries no `cursor`. A query that matches nothing still returns loosely-related media posts rather than an empty list, which is Reddit's own search behaviour.

2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요

Reddit의 미디어 검색 색인을 훑어 이미지, 영상, 갤러리가 있는 게시물을 최대 25개 돌려줍니다. 미디어는 content.media_urls에 담기고 제목, 점수, 댓글 수, 서브레딧, 추천 비율, 플레어가 함께 옵니다.

주제에 맞는 시각 자료가 필요하고 섞인 결과를 직접 걸러내고 싶지 않을 때 쓰세요. subreddit:이름 검색어로 커뮤니티 하나에 한정할 수 있고, sort=new에서는 timeframe이 적용되지 않습니다.

69개 플랫폼을 병렬로 검색합니다

·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
Reddit API

Search Media API로 무엇을 할 수 있을까요

Search Media 엔드포인트가 통합 스키마와 계산 필드를 담은 Reddit 데이터를 한 번의 요청으로 보내드려요. 스크래핑 인프라를 직접 만들거나 유지할 필요가 없어요.

요청 예시

curl -H "x-api-key: YOUR_API_KEY" \
  "https://www.socialcrawl.dev/v1/reddit/search/media?query=mechanical+keyboard+build"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/reddit/search/media",
    params={
    'query': 'mechanical keyboard build',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()
const response = await fetch(
  "https://www.socialcrawl.dev/v1/reddit/search/media?query=mechanical+keyboard+build",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

파라미터

파라미터필수설명
query예Search phrase. Reddit's operators work here: `subreddit:name terms` scopes the sweep to one community, and quotes force an exact phrase.
sort아니오Sort by (relevance | new | top | comment_count)
timeframe아니오Only return posts from this window. Applied on sort=relevance, sort=top and sort=comment_count. It has no effect with sort=new, which is already ordered newest-first. (all | day | week | month | year)
cursor아니오Cursor to get more results. Get 'cursor' from the previous response.
since아니오Only 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`.
until아니오Only 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`.
응답 예시

Reddit Search Media API는 무엇을 돌려주나요

모든 응답은 하나의 통합 스키마를 따라요. 크레딧을 쓰기 전에 어떤 필드가 돌아오는지, 실제 응답 본문 그대로 확인해 보세요.

응답 예시 보기
{
  "success": true,
  "platform": "reddit",
  "endpoint": "/v1/reddit/search/media",
  "data": {
    "items": [
      {
        "post": {
          "id": "1ngfk3g",
          "url": "https://www.reddit.com/r/MechanicalKeyboards/comments/1ngfk3g/first_mechanical_keyboard_build/",
          "content": {
            "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
            "media_urls": null,
            "thumbnail_url": "https://external-preview.redd.it/aC06lsnm94suYvrULw2iQltZ2_ovR5qIGUaeYU_BteI.jpeg?width=140&height=105&crop=140%3A105%2Csmart&auto=webp&s=8dfab828105abd379922fd79d0c89f3bf1992db9",
            "duration_seconds": null
          },
          "author": {
            "username": "user_ac34d4",
            "display_name": "user_b158a1",
            "avatar_url": "https://example.com/avatars/user_b6536c.png",
            "verified": null
          },
          "engagement": {
            "views": null,
            "likes": 4,
            "comments": 4,
            "shares": null,
            "saves": null
          },
          "flags": {
            "nsfw": false,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2025-09-14T02:25:25.370Z",
          "ext": {
            "subreddit": "MechanicalKeyboards",
            "title": "Sample comment text (redacted).",
            "selftext": "[Link.](https://youtu.be/zBGOtffghuI)\n\n![img](hxa7j4klj1pf1)\n\n\\- M87 kit\n\n\\- Akko Dracula Linears\n\n\\- Aliexpress Marshmallow Keycaps",
            "upvote_ratio": 1,
            "flair": "Builds",
            "content_language": "en",
            "published_at_epoch": 1757816725
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "es",
          "content_category": "other",
          "estimated_reach": null
        }
      },
      {
        "post": {
          "id": "1thgcsn",
          "url": "https://www.reddit.com/r/PHMechanicalKeyboard/comments/1thgcsn/first_custom_mechanical_keyboard_deep_and_thocky/",
          "content": {
            "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
            "media_urls": "https://packaged-media.redd.it/fyj7uj0dz12h1/dl/m2-res_640p.mp4?m=DASHPlaylist.mpd&v=1&e=1790942400&s=970aee631ebf965e8cd4560b36a7c312ca728c68",
            "thumbnail_url": "https://external-preview.redd.it/dm9obHhhMWR6MTJoMcVzbRvxSScrHpvLL-i-_QQ7KNVKs99YMYhdGobkPhqs.png?format=pjpg&auto=webp&s=e88f686059330a0b9d358e9a47532cd86ff451a0",
            "duration_seconds": 31
          },
          "author": {
            "username": "user_52cea8",
            "display_name": "user_c74a65",
            "avatar_url": "https://example.com/avatars/user_497e68.png",
            "verified": null
          },
          "engagement": {
            "views": null,
            "likes": 11,
            "comments": 7,
            "shares": null,
            "saves": null
          },
          "flags": {
            "nsfw": false,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-05-19T08:16:29.529Z",
          "ext": {
            "subreddit": "PHMechanicalKeyboard",
            "title": "Sample comment text (redacted).",
            "selftext": "Hello, everyone! I've sorta been in the keyboard rabbit hole this month and decided to build my first customized mx board, trying to find and build the deepest and thockiest boi. After weeks of planning and ordering stuff, here is what I have achieved. I had fun experimenting with different mods and configurations on this. I'm also very much satisfied with the final build.\n\nBoard: PMO Aurora80 - Cheese White\n\nGasket: Customized Gasket-structure (Top: Poron Sandwich Cotton Foam + IXPE Switch Padding+ PET Film Sheet) & (Bottom:  Poron Bearing Base Foam + Poron Base Cotton + Protective PET Film Sheet)\n\nPlate: White POM Plate\n\nSwitches: Keygeek Y2 (Hand-lubed, and spring swapped to 22mm, 62g Double-Stage Springs)\n\nStabilizers: Stock Stabilizers (Hand-lubed and Re-tuned)\n\nKeycaps: Ceramic Keycaps\n\nMods: Force Break Mod (w/ O-Ring Dampeners)",
            "upvote_ratio": 0.9230769230769232,
            "flair": "Flexing My Board",
            "content_language": "en",
            "published_at_epoch": 1779178589
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "en",
          "content_category": "other",
          "estimated_reach": null
        }
      }
    ],
    "next_cursor": "MjQ=",
    "total": null,
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoiTWpRPSIsImUiOiJyZWRkaXQvc2VhcmNoL21lZGlhIiwicCI6ImN1cnNvciJ9",
    "has_more": true,
    "page_size": 25
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T07:33:23.757Z",
  "redacted": true
}

통합 응답 구조를 보여 주는 실제 샘플이에요. 필드 값은 조회한 대상에 따라 달라져요.

API 상세

Reddit Search Media API는 어떻게 동작하나요

API 키와 함께 GET 요청을 보내면, 통합 스키마와 계산 필드를 담은 깔끔한 JSON이 돌아와요.

메서드

GET

응답 형식

JSON

왜 SocialCrawl인가요

Reddit Search Media 데이터는 왜 SocialCrawl로 가져올까요

Reddit 데이터 추출에서 까다로운 부분은 SocialCrawl이 가려 드려요. 통합 스키마, AI 인리치먼트, 그리고 코드에 남지 않는 플랫폼 로직까지.

개발자 우선

소셜 미디어 데이터를 몇 초 만에 수집하는 방법

개발자를 위한 가장 빠른 소셜 미디어 스크래핑 API. 월간 활성 사용자 100억 명 이상을 포괄하는 69개 플랫폼에서 프로필, 게시물, 댓글, 분석 데이터를 수집하세요.

모든 플랫폼을 하나의 스키마로

동일한 응답 구조로 69개 플랫폼을 조회하세요. 연동은 한 번이면 충분합니다.

단순 수집을 넘어 계산된 필드 제공

엔드포인트가 해당 지표를 지원하고 계산에 필요한 원본 값이 있을 때, 정규화된 레코드에 engagement_rate, estimated_reach, content_category, language를 함께 담아 바로 활용할 수 있습니다.

코드 한 줄 쓰기 전에, 데이터부터

Visual Data Explorer에 URL만 붙여넣으면 결과 카드와 정형화된 테이블, CSV 내보내기를 바로 사용할 수 있습니다.

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"
    }
  }
}
+ 69개 플랫폼
자주 묻는 질문

자주 묻는 질문

API, 요금제, 기능에 대한 질문과 답변입니다.

문의하기
이미지나 영상이 있는 게시물만 검색할 수 있나요?
GET /v1/reddit/search/media에 query를 담아 호출하면 돼요. 미디어가 붙은 게시물만 모아 둔 색인을 검색하기 때문에, 섞여 나온 결과를 직접 걸러 낼 필요가 없어요.
미디어 URL은 어디에 담겨 오나요?
각 행의 content.media_urls에 직접 URL이 배열로 담겨요. 갤러리 게시물은 이미지가 모두 들어가고, 이미지나 영상 하나짜리 게시물은 원소가 하나인 배열로 와서 같은 코드로 처리할 수 있어요.
특정 커뮤니티 안에서만 찾을 수 있나요?
네, 여기서도 Reddit 검색 연산자를 쓸 수 있어요. subreddit:커뮤니티이름과 검색어를 함께 넣으면 그 커뮤니티 안에서만 찾고, 따옴표로 묶으면 정확한 문구로 좁혀져요.
timeframe은 항상 적용되나요?
sort가 relevance, top, comment_count일 때 적용돼요. sort=new는 이미 최신순이라 timeframe을 넣어도 결과가 달라지지 않아요.
Reddit 이미지 검색 API 요금은 얼마인가요?
최대 25개 미디어 게시물이 담긴 페이지 하나당 standard 등급에서 1 credit예요. 신규 계정은 카드 등록 없이 100 크레딧을 받아 100번 검색할 수 있어요.

AI에게 SocialCrawl을 물어보세요

Reddit Search Media 데이터, 가져올 준비 되셨어요?

API 키 받고 60초 안에 Reddit 데이터를 받아 가세요.

무료로 시작하기

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