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Reddit Subreddit API

Name: Reddit Subreddit API
Brand: SocialCrawl
Availability: InStock

API 한 번의 호출로 Reddit Subreddit 데이터를 받아 가세요. Returns a list of posts from a subreddit. Each post includes the title, the post body at `ext.selftext`, score, comment count, author, permalink, and creation timestamp. Most rows also carry the author's avatar at `author.avatar_url`, the post's attached media or link target at `content.media_urls`, and the upvote ratio, post flair and Reddit's own content language at `ext.upvote_ratio`, `ext.flair` and `ext.content_language`. `ext.upvote_ratio` and `ext.flair` come from the same source as the posts, so they are there whenever Reddit reports them. `author.avatar_url` and `ext.content_language` come from a second source that runs alongside the main one on PAGE ONE ONLY, so a walk past the first page returns the same posts in the same order without those two, and on a small share of first pages they are null across the whole page while every other field is unchanged. Treat those two as present-usually rather than guaranteed, and never as a signal about the post itself. `content.media_urls` on this surface is whatever the post points at, so on a link post it is the article or site the post links to rather than an image or a video. Page size varies with the subreddit and the sort and is not fixed: a busy community returns roughly 15 to 25 posts on the default sort. On `sort=top`, a SHORT window (`day`) is a full page and a LONG window (`year`) is the sparse one — measured 09/09/2026 on r/HouseOfTheDragon: all 22, day 22, week 19, month 10, year 3. Paginate with `after` rather than assuming a count. Ranking and row set are Reddit's own listing, unchanged by the enrichment.

2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요

무료로 시작하기 문서 보기

서브레딧의 게시물을 돌려줍니다. 게시물마다 제목, 본문, 점수, 댓글 수, 작성자, permalink, 작성 시각이 붙습니다.

커뮤니티 피드를 읽을 때 사용하세요. timeframe은 sort=top일 때만 적용되고 sort를 비우면 top이 자동으로 잡힙니다. 같은 커뮤니티를 키워드로 거르려면 subreddit/search를 쓰세요.

68개 플랫폼을 병렬로 검색합니다

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

Apple Music·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Yelp·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·

Utility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

Apple Music·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Yelp·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·

Utility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

Apple Music·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Yelp·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·

Utility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

Apple Music·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Yelp·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·

Utility·

Universal Search

Reddit API

Subreddit API로 무엇을 할 수 있을까요

Subreddit 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/subreddit?subreddit=technology&label=sponsored&trim=true"

import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/reddit/subreddit",
    params={
    'subreddit': 'technology',
    'label': 'sponsored',
    'trim': 'true',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()

const response = await fetch(
  "https://www.socialcrawl.dev/v1/reddit/subreddit?subreddit=technology&label=sponsored&trim=true",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

함께 보내면 좋은 파라미터

label=sponsored 게시물마다 유료 광고나 협찬인지 표시합니다. 추가 크레딧은 들지 않으며 의도와 분야 판정도 무료입니다.
trim=true 가격은 같습니다. 용량이 큰 원본 필드를 빼서 응답이 가벼워집니다.

파라미터

파라미터	필수	설명
subreddit	예	Subreddit name without the r/ prefix
timeframe	아니오	Timeframe to get posts from. Applied with sort=top (auto-selected when you omit sort). (all \| day \| week \| month \| year)
sort	아니오	Sort order (best \| hot \| new \| top \| rising)
after	아니오	After to get more posts. Get 'after' from previous response.
trim	아니오	Set to true for a trimmed down version of the response. This also skips the enrichment pass, so `author.avatar_url`, `content.media_urls`, `flags.spoiler`, `post.url` and the `ext.*` fields are omitted along with the rest of the trimmed leaves.
label	아니오	Optional CSV of SocialCrawl labels to add to every post. Without this param every page already carries sponsored, intent and niche, free; label= adds the labels you name to them (the defaults keep running). sponsored, intent and niche are free when asked for too; mention, quality, intent with offer=, and injection add 1 credit per started 25 newly judged posts. judgments=off (or label=none) turns the default labels off. sponsored: is the post a paid or gifted promotion (p, 0 to 1), did it carry a disclosure marker such as #ad or 광고 (disclosed), is it likely paid with no marker (undisclosed), and which of the accounts it mentions does it promote (brand, or null). These are signals to review, never a finding. mention (needs brand=): is the post about that brand rather than something that shares its name (about_brand, 0 to 1), how it feels about the brand on five levels (sentiment_level 0 to 4 and sentiment_score 0 to 1, null when the post is not about the brand), is it sarcastic, which aspect it talks about (taste_or_quality, price_or_value, availability_or_delivery, health_or_safety, advertising_or_campaign, customer_service, none), and did the author buy or use it (first_hand). intent: what the author is mainly doing (label: asking_for_recommendation, comparing_options, switching_away, complaining, promoting, news_or_discussion, other, or null when unsure, with confidence), whether they read as a potential buyer rather than a seller (buyer, seller), how pressing the need is (urgency, 0 to 3), and, when you pass offer=, whether your offer would plausibly help them (fits_offer). niche: which of the 33 niches of the published taxonomy sc-niche-v1 the caption belongs to, or personal_no_niche, or other (label, confidence, taxonomy), with label null when the caption is too thin to tell or the pick is unsure. It reads the caption only, not the video. quality: how much checkable detail the caption carries (fact_density 0 to 3), whether it mainly asks for likes, replies, shares, follows or tags (engagement_bait, 0 to 1), whether it is written to provoke anger as a way to get engagement (rage_bait, 0 to 1; about the writing, never the side taken), whether it only repeats someone else's news or view (secondhand, 0 to 1), and what the post is mainly doing (post_aim: inform, opinion, sell, entertain, provoke, other). exclude=engagement_bait drops posts whose engagement_bait is 0.8 or higher. injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. A post that could not be judged carries labels: null. Posts already labelled for anyone are free, and so is a cached page. data.labels reports what was judged and billed.
exclude	아니오	Optional CSV (engagement_bait), only with label=quality. Drops posts whose engagement_bait probability is 0.8 or higher and lists their ids in data.labels.dropped_ids. A post that could not be judged is never dropped.
brand	아니오	Required by label=mention, ignored otherwise. The brand or product the posts are judged against, up to 300 characters, for example brand=Buldak. Without it label=mention is skipped with the warning label_mention_needs_brand and is not billed.
brand_description	아니오	Optional, with label=mention. One plain sentence saying what the brand is, for example brand_description=Samyang's spicy instant noodle brand. Use it when the name is also an ordinary word or another company's name.
offer	아니오	Optional, with label=intent. One or two plain sentences saying what you sell, up to 300 characters, for example offer=A web design agency that builds websites for small businesses. Adds fits_offer to every post; without it fits_offer is null.
judgments	아니오	Optional, on (the default) or off. By default every row gains free SocialCrawl judgments (computed.labels, and computed.relevance on search endpoints), reported in data.labels (mode default) and data.relevance (origin default), each with a status (complete, partial or skipped) and pending: the rows still being judged when the page was sent, which carry null now and are filled on your next call or cached read. Default judgments never add credits, never change an existing field, and never drop or reorder a row. off returns the page exactly as before, with none of those keys. label=none does the same. (on \| off)
dry_run	아니오	Optional. When 1, return a cost preview for this labelled or relevance-filtered request without fetching the page or judging any row. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged. (1)
label_evidence	아니오	Optional, only with label=. When 1, every labelled row also carries computed.labels_evidence.<preset> = { quote, sentence_index }: the sentence in the row that most clearly shows the label, copied verbatim. Absent or null when no single sentence shows it. (1)
fit	아니오	Optional. When goal, keep the rows and fields needed for the goal you pass in goal= (plus any that are uncertain, and the first and last), and replace the rest with a stub. data.held_back lists the held ids and a recall id that re-reads the full page from cache at no extra charge. Without this param the page is unchanged. (goal)
goal	아니오	Required by fit=goal. What you are trying to do, in your own words, up to 300 characters.
fit_tokens	아니오	Optional, only with fit=goal. Soft cap on how much of the page to keep, in tokens. Uncertain blocks and the first and last block are kept even if they exceed it.
since	아니오	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 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`.
until	아니오	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`.

응답 예시

Reddit Subreddit 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/subreddit",
  "data": {
    "items": [
      {
        "post": {
          "id": "1wv1j68",
          "url": "https://www.reddit.com/r/technology/comments/1wv1j68/nyc_is_now_the_first_city_in_america_that_bans/",
          "content": {
            "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
            "media_urls": "https://www.theverge.com/policy/1003426/nyc-click-to-cancel-subscriptions-rule",
            "thumbnail_url": "https://external-preview.redd.it/5UgP2gtco5HmO0uATfi1lCcdDsn8dA3p6mGzdJ0y7WY.jpeg?auto=webp&s=05c3271c6d2db98f375d857122188a6f6d644103",
            "duration_seconds": null
          },
          "author": {
            "username": "user_6c31c8",
            "display_name": "user_042bf4",
            "avatar_url": "https://example.com/avatars/user_316731.png",
            "verified": null
          },
          "engagement": {
            "views": null,
            "likes": 20137,
            "comments": 408,
            "shares": null,
            "saves": null
          },
          "flags": {
            "nsfw": false,
            "spoiler": false,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-10-01T14:53:16.000Z",
          "ext": {
            "subreddit": "technology",
            "title": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
            "selftext": null,
            "upvote_ratio": 0.9790215203591888,
            "flair": "Business",
            "content_language": "en",
            "published_at_epoch": 1790866396
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "en",
          "content_category": "other",
          "estimated_reach": null,
          "labels": {
            "sponsored": {
              "p": 0.01,
              "disclosed": false,
              "undisclosed": false,
              "brand": null
            },
            "intent": {
              "label": "news_or_discussion",
              "confidence": 1,
              "buyer": false,
              "seller": 0.03,
              "fits_offer": null,
              "urgency": 0.08
            },
            "niche": {
              "label": "news_politics",
              "confidence": 0.94,
              "taxonomy": "sc-niche-v1"
            }
          }
        }
      },
      {
        "post": {
          "id": "1wvdokm",
          "url": "https://www.reddit.com/r/technology/comments/1wvdokm/usps_is_turning_mail_trucks_into_rolling/",
          "content": {
            "text": "Sample comment text (redacted).",
            "media_urls": "https://www.gadgetreview.com/usps-is-turning-mail-trucks-into-rolling-surveillance-cameras",
            "thumbnail_url": "https://external-preview.redd.it/uUkVrnXbdIhZ2hJQmADeeA-BGI0w75pMnPAlMWYvVjQ.jpeg?auto=webp&s=c6409322501a707a86c4074105493e80a9ed2ced",
            "duration_seconds": null
          },
          "author": {
            "username": "user_fc0282",
            "display_name": "user_4db8b5",
            "avatar_url": "https://example.com/avatars/user_bef523.png",
            "verified": null
          },
          "engagement": {
            "views": null,
            "likes": 2689,
            "comments": 116,
            "shares": null,
            "saves": null
          },
          "flags": {
            "nsfw": false,
            "spoiler": false,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-10-01T22:48:56.000Z",
          "ext": {
            "subreddit": "technology",
            "title": "Sample comment text (redacted).",
            "selftext": null,
            "upvote_ratio": 0.9731951393852752,
            "flair": "Privacy",
            "content_language": "en",
            "published_at_epoch": 1790894936
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "en",
          "content_category": "other",
          "estimated_reach": null,
          "labels": {
            "sponsored": {
              "p": 0.02,
              "disclosed": false,
              "undisclosed": false,
              "brand": null
            },
            "intent": {
              "label": "news_or_discussion",
              "confidence": 1,
              "buyer": false,
              "seller": 0.04,
              "fits_offer": null,
              "urgency": 0.24
            },
            "niche": {
              "label": "news_politics",
              "confidence": 0.72,
              "taxonomy": "sc-niche-v1"
            }
          }
        }
      }
    ],
    "next_cursor": "t3_1wv1lx4",
    "total": null,
    "labels": {
      "presets": [
        "sponsored",
        "intent"
      ],
      "rows": 15,
      "labelled": 13,
      "cached": 13,
      "skipped": 0,
      "unjudged": 0,
      "dropped": 0,
      "dropped_ids": [],
      "extra_credits": 0,
      "methodology_version": "labels/1",
      "mode": "default",
      "status": "partial",
      "pending": 2,
      "pending_ids": [
        "1wvh7tk",
        "1wvhnn3"
      ]
    },
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoidDNfMXd2MWx4NCIsImUiOiJyZWRkaXQvc3VicmVkZGl0IiwicCI6ImFmdGVyIn0",
    "has_more": true,
    "page_size": 15
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T07:26:00.602Z",
  "redacted": true
}

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

API 상세

Reddit Subreddit 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 Subreddit 데이터는 왜 SocialCrawl로 가져올까요

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

모든 플랫폼이 같은 스키마라 연동은 한 번이면 끝이에요
엔드포인트가 해당 지표를 지원하고 계산에 필요한 원본 값이 있을 때 참여율·예상 도달·카테고리·언어 같은 계산 필드도 함께 와요
스크래핑 인프라도, 프록시도, 속도 제한도 신경 쓰지 않아도 돼요
Reddit의 현재 공개 데이터를 돌려줘요. 엔드포인트별로 문서에 적힌 캐시 구간을 쓰고 적중하면 0크레딧이에요. Cache-Control: no-cache를 보내면 정상 요금으로 새로 조회해요

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 68개 플랫폼에서 프로필, 게시물, 댓글, 분석 데이터를 수집하세요.

모든 플랫폼을 하나의 스키마로

동일한 응답 구조로 68개 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"
    }
  }
}

+ 68개 플랫폼

자주 묻는 질문

API, 요금제, 기능에 대한 질문과 답변입니다.

문의하기

서브레딧 게시물은 어떻게 받아오나요?

GET /v1/reddit/subreddit에 subreddit 파라미터로 서브레딧 이름(r/ 없이)을 담아 호출하면 돼요. 제목, 점수, 찬성 비율, 댓글 수, 작성자, 플레어, 퍼머링크, 작성 시각이 정리된 JSON 배열로 받아볼 수 있어요.

어떤 정렬 옵션을 지원하나요?

sort는 best, hot, new, top, rising 다섯 가지를 쓸 수 있어요. top과 함께 timeframe(day, week, month, year, all)을 보내면 특정 기간의 인기 게시물을 뽑아볼 수 있고, 정렬을 지정하지 않으면 서브레딧 기본 순서로 응답해요.

과거 게시물은 어떻게 페이지네이션하나요?

응답에 포함된 after 토큰을 다음 요청의 after 파라미터로 넣으면 다음 페이지를 받아올 수 있어요. after가 비어있을 때까지 반복하면 Reddit 기본 페이지 크기 제한 없이 과거 게시물을 쭉 가져오실 수 있어요.

비공개나 격리된 서브레딧도 조회할 수 있나요?

아니요, SocialCrawl은 공개 서브레딧 데이터만 수집해요. 비공개·격리·차단 서브레딧은 빈 응답으로 돌아와요. 먼저 subreddit/details 엔드포인트로 공개 여부를 확인한 뒤 게시물을 가져오시는 걸 추천해요.

Subreddit Posts API는 요금이 얼마인가요?

한 번 호출에 1 크레딧(스탠다드 티어)이 소진돼요. 새 계정은 100 크레딧을 무료로 받을 수 있어서 서브레딧 100개 정도를 바로 살펴보실 수 있어요. 응답을 가볍게 받고 싶다면 trim=true 옵션을 함께 쓰세요.

AI에게 SocialCrawl을 물어보세요

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Reddit API의 다른 엔드포인트

Reddit의 모든 엔드포인트가 같은 통합 스키마를 돌려줘요.

Subreddit Details Search Post Post Comments Subreddit Search Profile

API 레퍼런스 Reddit API 가이드

Reddit Subreddit 데이터, 가져올 준비 되셨어요?

API 키 받고 60초 안에 Reddit 데이터를 받아 가세요.

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🤖 AI 에이전트나 LLM이신가요? 이 페이지를 markdown으로 읽어보세요