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Reddit Search Comments API

API 한 번의 호출로 Reddit Search Comments 데이터를 받아 가세요. Searches Reddit's COMMENT index directly, so a phrase that only ever appears three levels deep inside someone's reply is reachable in one call. Every other comment surface on this API needs a post you have already found; this one does not. Each hit arrives with its parent post inline, because a bare comment body off a search index is unreadable without it: `ext.post_title`, `ext.subreddit`, `ext.subreddit_subscribers`, `ext.post_score`, `ext.post_comment_count`, `ext.post_author`, `ext.post_published_at`, `ext.post_flair`, `ext.post_url` and `ext.content_language`. Reddit's search operators work in `query`, which is where most of the power is: `author:username` returns that account's indexed comments, `subreddit:name terms` scopes the sweep to one community, and quoted phrases tighten a loose match. `comment.parent_id` is null on this lane and that is honest rather than missing — the upstream does not say whether a hit is a top-level comment or a deep reply, and this API does not guess. Up to 25 hits per page; paginate with `cursor`. A query that matches nothing returns an empty `items` list and costs nothing. When the main source is unavailable, the first page is answered by a backup that reads the same comment index with the same fields, parent-post block included, and carries no next cursor. If that backup fails too, a third source answers with the same hits in the same order, up to 10 on a page, and its pages carry a next cursor that pages on that same source; on those pages `ext.subreddit_subscribers`, `ext.post_author`, `ext.post_flair`, `ext.content_language` and `author.display_name` are null, and the rest of the parent-post block is filled. If that fails as well, a fourth source answers the first page with the same hits but without the parent-post block, so `ext.post_title`, `ext.post_url`, `ext.subreddit_subscribers`, `ext.post_score`, `ext.post_comment_count`, `ext.post_author`, `ext.post_published_at`, `ext.post_flair`, `ext.content_language` and `author.avatar_url` are null on that page; `ext.subreddit` is still filled. A later page has no second source: it is answered by the source that served the page before it, and returns an error to retry when that source is unavailable.

2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요

Reddit 댓글 색인을 바로 검색해 조건에 맞는 댓글을 돌려줍니다. 각 댓글에는 원 게시물 정보가 함께 붙습니다. ext.post_title, ext.subreddit, ext.subreddit_subscribers, ext.post_score, ext.post_comment_count, ext.post_author, ext.post_url입니다.

찾는 표현이 제목이 아니라 댓글 안에 있을 때, 그리고 author:사용자명이나 subreddit:이름 검색어로 훑을 때 쓰세요. 상위 소스가 댓글의 스레드 위치를 알려주지 않아 parent_id는 null입니다.

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 Comments API로 무엇을 할 수 있을까요

Search Comments 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/comments?query=best+project+management+software"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/reddit/search/comments",
    params={
    'query': 'best project management software',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()
const response = await fetch(
  "https://www.socialcrawl.dev/v1/reddit/search/comments?query=best+project+management+software",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

파라미터

파라미터필수설명
query예Search phrase. Reddit's operators work here: `author:username` for one account's comments, `subreddit:name terms` to scope to a community, and quotes for an exact phrase.
sort아니오Sort order for the comment hits. (relevance | top | new)
cursor아니오Cursor to get more results. Get 'cursor' from the previous response.
switch_from아니오Optional brand. data.switch_receipts lists comments where the author says they personally left that brand, with the verbatim text, the reason, where they went, and a link. There is no percentage. A comment that is not a switch, or that is not confident, is left out. No extra credits.
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 the page, and the page that reaches one ends the walk: `next_cursor` is not returned and `pagination.stopped_at` is `since`. Sending it sets the newest-first sort shown in this endpoint's sort parameter (any other sort value is a free 400). The page still costs what a page costs, so you pay for the pages you walk and no more. 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 Comments 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/comments",
  "data": {
    "items": [
      {
        "comment": {
          "id": "p8jlxam",
          "url": "https://www.reddit.com/r/ProgrammerHumor/comments/1wangyc/comment/p8jlxam/",
          "parent_id": null,
          "post_id": "1wangyc",
          "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).",
          "author": {
            "username": "user_95c8d1",
            "display_name": "user_d4d61e",
            "avatar_url": "https://example.com/avatars/user_36cbc5.png",
            "verified": null
          },
          "engagement": {
            "likes": 174,
            "replies": null
          },
          "flags": {
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-09-08T13:37:34.616Z",
          "ext": {
            "published_at_epoch": 1788874654,
            "post_title": "theLastOReillyJustDropped",
            "post_url": "https://www.reddit.com/r/ProgrammerHumor/comments/t3_1wangyc/",
            "subreddit": "ProgrammerHumor",
            "subreddit_subscribers": 4765922,
            "post_score": 13632,
            "post_comment_count": 284,
            "post_author": "user_dfee63",
            "post_published_at": "2026-09-08T12:47:34.490000+0000",
            "post_flair": "Other",
            "content_language": "und"
          }
        },
        "computed": {
          "language": "en"
        }
      },
      {
        "comment": {
          "id": "p7ojstd",
          "url": "https://www.reddit.com/r/europe/comments/1w6km5i/comment/p7ojstd/",
          "parent_id": null,
          "post_id": "1w6km5i",
          "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).",
          "author": {
            "username": "user_bf049a",
            "display_name": "user_89ab7f",
            "avatar_url": "https://example.com/avatars/user_1df840.png",
            "verified": null
          },
          "engagement": {
            "likes": 96,
            "replies": null
          },
          "flags": {
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-09-03T23:55:35.758Z",
          "ext": {
            "published_at_epoch": 1788479735,
            "post_title": "Volkswagen board approves turnaround plan, flags 50,000 possible job cuts across group",
            "post_url": "https://www.reddit.com/r/europe/comments/t3_1w6km5i/",
            "subreddit": "europe",
            "subreddit_subscribers": 11667913,
            "post_score": 911,
            "post_comment_count": 271,
            "post_author": "user_15cd0b",
            "post_published_at": "2026-09-03T21:22:22.400000+0000",
            "post_flair": "News",
            "content_language": "en"
          }
        },
        "computed": {
          "language": "en"
        }
      }
    ],
    "next_cursor": "sc2.eyJzIjoicCIsImMiOiJNalE9In0",
    "total": null,
    "comment_recency": {
      "policy_version": "d09-1",
      "n": 24,
      "counted": 24,
      "abstained": 0,
      "share_last_24h": 0,
      "share_later_half": 0.2917,
      "too_few": false,
      "stage": "slowing",
      "order": "default",
      "recent_share_is_floor": true,
      "receipts": []
    },
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoic2MyLmV5SnpJam9pY0NJc0ltTWlPaUpOYWxFOUluMCIsImUiOiJyZWRkaXQvc2VhcmNoL2NvbW1lbnRzIiwicCI6ImN1cnNvciJ9",
    "has_more": true,
    "page_size": 24
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T15:39:28.516Z",
  "redacted": true
}

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

API 상세

Reddit Search Comments 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 Comments 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
게시물이 아니라 댓글을 검색하려면 어떻게 하나요?
GET /v1/reddit/search/comments에 query를 담아 호출하면 돼요. Reddit 댓글 색인을 바로 읽기 때문에 대댓글 세 단계 안쪽에만 있는 문장도 한 번에 찾을 수 있고, 한 페이지에 25개가 와요.
검색 연산자도 쓸 수 있나요?
네, 이 엔드포인트의 힘이 대부분 거기서 나와요. author:사용자이름으로 한 계정의 색인된 댓글만, subreddit:커뮤니티이름으로 한 커뮤니티만 훑을 수 있고, 따옴표로 묶으면 정확한 문구로 좁혀져요.
댓글이 달린 원글 정보도 같이 오나요?
네, 댓글 본문만으로는 맥락을 알 수 없어서 결과마다 원글 정보가 함께 담겨요. ext.post_title, ext.subreddit, ext.subreddit_subscribers, ext.post_score, ext.post_comment_count, ext.post_author, ext.post_url을 보면 돼요.
Pushshift 대신 쓸 수 있나요?
키워드, 작성자, 커뮤니티로 댓글을 찾는 용도라면 그대로 대체할 수 있어요. 스키마가 고정된 엔드포인트로 계속 관리하고 있어요. 다만 Reddit의 현재 검색 색인을 읽는 방식이라 과거 전체를 내려받는 아카이브와는 달라요.
Reddit 댓글 검색 API 요금은 얼마인가요?
페이지 하나당 standard 등급에서 1 credit예요. 결과 수와 상관없이 같아요. 신규 계정은 카드 등록 없이 100 크레딧을 받아 100번 검색할 수 있어요.

AI에게 SocialCrawl을 물어보세요

Reddit Search Comments 데이터, 가져올 준비 되셨어요?

API 키 받고 60초 안에 Reddit 데이터를 받아 가세요.

무료로 시작하기

🤖 AI 에이전트나 LLM이신가요? 이 페이지를 markdown으로 읽어보세요