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100 크레딧 무료, 카드 등록 없이

X User Tweets API

API 한 번의 호출로 X User Tweets 데이터를 받아 가세요. Returns the most recent tweets posted by a Twitter/X user in descending chronological order, each with the full text, like count, retweet count, reply count, bookmark count, view count, media attachments, and creation timestamp. Retweets and self-threaded replies are included, matching the account's Posts tab; a pinned tweet is flagged via `post.flags.pinned` and sorts by its own publish date. A post carrying more than one photo lists every URL in `post.ext.all_media_urls`, while `post.content.media_urls` holds the first; `post.ext.quote_count` is how many times the post was quote-tweeted. Page size is set by the source, typically around 20 tweets. Deeper history is a cursor walk: send `pagination.next_cursor` back as `cursor` and repeat until `pagination.has_more` is false; each page costs 1 credit. When the main source cannot fetch a page, a second source answers it with the same newest-first tweets, and a walk carries on from the last tweet you received, so nothing repeats. Only when every source fails does the call return 502 `UPSTREAM_ERROR` with the credit refunded; it is never answered with an older or popularity-ranked set of tweets.

2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요

계정의 최신 트윗을 최신순으로 돌려줍니다. 트윗마다 본문 전체, 좋아요와 리트윗, 답글과 북마크, 조회 수, 첨부 미디어, 작성 시각이 붙습니다. 한 번에 20개 안팎이 나옵니다.

타임라인을 읽을 때 사용하세요. 최신 글부터 내려오고 리트윗과 이어 쓴 스레드도 함께 나옵니다. 더 보려면 응답의 pagination.next_cursor를 cursor로 다시 보내면 다음 페이지가 나옵니다.

68개 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
X API

User Tweets API로 무엇을 할 수 있을까요

User Tweets 엔드포인트가 통합 스키마와 계산 필드를 담은 X 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/twitter/user/tweets?handle=elonmusk&since=2026-09-01&label=sponsored&trim=true"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/twitter/user/tweets",
    params={
    'handle': 'elonmusk',
    'since': '2026-09-01',
    'label': 'sponsored',
    'trim': 'true',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()
const response = await fetch(
  "https://www.socialcrawl.dev/v1/twitter/user/tweets?handle=elonmusk&since=2026-09-01&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.
  • since=2026-09-01 이 날짜 이후에 올라온 게시물만 반환합니다. 매일 조회할 때 새 게시물이 있는 페이지만 과금됩니다.
  • trim=true 가격은 같습니다. 용량이 큰 원본 필드를 빼서 응답이 가벼워집니다.

파라미터

파라미터필수설명
handle예Twitter username without the @ symbol
since아니오Only tweets published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Older tweets 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`. Pinned tweets sit out of date order and never end the walk. The page still costs what a page costs, so a daily poll pays for the pages it walks and no more.
stop_at_id아니오The id (`post.id`) or URL (`post.url`) of the newest tweet you already hold. The page stops just before it: that tweet and everything after it are left off, `next_cursor` is not returned, and `pagination.stopped_at` is `known_id`. A pinned tweet never counts as the stop point. If it is not on this page the page is returned in full with its cursor, so keep walking. `pagination.stopped_at` is `end` when the list ran out first and `null` while there is more to walk.
trim아니오Accepted for backwards compatibility and ignored. It shrank the raw upstream payload, which the canonical response never exposed, so it changed nothing you can see
cursor아니오Cursor from the previous response's pagination.next_cursor to fetch the next page
label아니오Optional 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.
exclude아니오Optional 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.
brand아니오Required 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_description아니오Optional, 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.
offer아니오Optional, 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.
judgments아니오Optional, 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_run아니오Optional. 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_evidence아니오Optional, 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)
fit아니오Optional. 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)
goal아니오Required by fit=goal. What you are trying to do, in your own words, up to 300 characters.
fit_tokens아니오Optional, 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.
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

X User Tweets 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": "twitter",
  "endpoint": "/v1/twitter/user/tweets",
  "data": {
    "items": [
      {
        "post": {
          "id": "2105941530246787259",
          "url": "https://x.com/elonmusk/status/2105941530246787259",
          "content": {
            "text": "RT @SpaceX: Today’s mission is the @NRO_gov’s first launch aboard the Falcon Heavy rocket. Falcon 9 previously launched 22 missions over ni…",
            "media_urls": null,
            "thumbnail_url": null,
            "duration_seconds": null
          },
          "author": {
            "username": "elonmusk",
            "display_name": "Elon Musk",
            "avatar_url": "https://pbs.twimg.com/profile_images/2103567689515954176/aR-Kjpp4_normal.jpg",
            "verified": true
          },
          "engagement": {
            "views": 573501,
            "likes": 0,
            "comments": 0,
            "shares": 675,
            "saves": 0
          },
          "flags": {
            "nsfw": null,
            "spoiler": null,
            "pinned": false,
            "deleted": false
          },
          "published_at": "2026-10-02T08:42:41.000Z",
          "ext": {
            "author_followers": 241727279,
            "author_following": 1414,
            "author_posts_count": 109355,
            "content_language": "en",
            "retweeted_post": {
              "id": "2105866520240832857",
              "url": "https://x.com/user_afd623/status/2105866520240832857",
              "author": {
                "id": "user_a8c44b",
                "username": "user_afd623",
                "display_name": "user_afd623",
                "verified": true
              },
              "text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
              "media_urls": [
                "https://pbs.twimg.com/media/HTmKXkKW8AAtRmz.jpg",
                "https://pbs.twimg.com/media/HTmKXzdWAAAoTHv.jpg"
              ],
              "engagement": {
                "views": 615677,
                "likes": 5871,
                "comments": 250,
                "shares": 675,
                "saves": 149
              },
              "quote_count": 60,
              "published_at": "Fri Oct 02 03:44:38 +0000 2026"
            },
            "quote_count": 0,
            "all_media_urls": null
          }
        },
        "computed": {
          "engagement_rate": 0.001177,
          "language": "en",
          "content_category": "other",
          "estimated_reach": 688201,
          "vs_creator": {
            "ratio": null,
            "metric": "views",
            "reason": "too_young"
          },
          "labels": {
            "sponsored": {
              "p": 0.04,
              "disclosed": false,
              "undisclosed": false,
              "brand": null
            },
            "intent": {
              "label": "news_or_discussion",
              "confidence": 1,
              "buyer": false,
              "seller": 0.27,
              "fits_offer": null,
              "urgency": 0
            },
            "niche": {
              "label": "technology",
              "confidence": 0.65,
              "taxonomy": "sc-niche-v1"
            }
          }
        }
      },
      {
        "post": {
          "id": "2105940448472866826",
          "url": "https://x.com/elonmusk/status/2105940448472866826",
          "content": {
            "text": "RT @stevenmarkryan: • SpaceX Makes History\n• Tesla Secures Future\n• Grok Team Can't Stop Cooking\n\nTIMESTAMPS\n\n0:00 Crew Dragon ISS Mission…",
            "media_urls": null,
            "thumbnail_url": null,
            "duration_seconds": null
          },
          "author": {
            "username": "elonmusk",
            "display_name": "Elon Musk",
            "avatar_url": "https://pbs.twimg.com/profile_images/2103567689515954176/aR-Kjpp4_normal.jpg",
            "verified": true
          },
          "engagement": {
            "views": 529093,
            "likes": 0,
            "comments": 0,
            "shares": 222,
            "saves": 0
          },
          "flags": {
            "nsfw": null,
            "spoiler": null,
            "pinned": false,
            "deleted": false
          },
          "published_at": "2026-10-02T08:38:24.000Z",
          "ext": {
            "author_followers": 241727279,
            "author_following": 1414,
            "author_posts_count": 109355,
            "content_language": "en",
            "retweeted_post": {
              "id": "2105872022668718241",
              "url": "https://x.com/user_ba92b7/status/2105872022668718241",
              "author": {
                "id": "user_005e5a",
                "username": "user_ba92b7",
                "display_name": "user_ba92b7",
                "verified": true
              },
              "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://pbs.twimg.com/amplify_video_thumb/2105871072243699712/img/a9YqHwW6tJx5x2Iz.jpg"
              ],
              "engagement": {
                "views": 302670,
                "likes": 1560,
                "comments": 84,
                "shares": 222,
                "saves": 104
              },
              "quote_count": 12,
              "published_at": "Fri Oct 02 04:06:30 +0000 2026"
            },
            "quote_count": 0,
            "all_media_urls": null
          }
        },
        "computed": {
          "engagement_rate": 0.00042,
          "language": "en",
          "content_category": "other",
          "estimated_reach": 634912,
          "vs_creator": {
            "ratio": null,
            "metric": "views",
            "reason": "too_young"
          },
          "labels": {
            "sponsored": {
              "p": 0.07,
              "disclosed": false,
              "undisclosed": false,
              "brand": null
            },
            "intent": {
              "label": null,
              "confidence": 0.44,
              "buyer": false,
              "seller": 0.44,
              "fits_offer": null,
              "urgency": 0.01
            },
            "niche": {
              "label": "technology",
              "confidence": 0.85,
              "taxonomy": "sc-niche-v1"
            }
          }
        }
      }
    ],
    "next_cursor": "sc2.eyJzIjoiZyIsImMiOiJEQUFIQ2dBQkhUb3VhOWtfXy1vTEFBSUFBQUFUTWpFd05UZzRPVGsxTURFek9UQTNNekF3TUFnQUF3QUFBQUlBQUEifQ",
    "total": null,
    "creator_baseline": {
      "baseline": null,
      "reason": "fewer_than_eight",
      "rows_used": 0,
      "cadence": "measured"
    },
    "labels": {
      "presets": [
        "sponsored",
        "intent"
      ],
      "rows": 14,
      "labelled": 14,
      "cached": 6,
      "skipped": 0,
      "unjudged": 0,
      "dropped": 0,
      "dropped_ids": [],
      "extra_credits": 0,
      "methodology_version": "labels/1",
      "mode": "default",
      "status": "complete",
      "pending": 0,
      "pending_ids": []
    },
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoic2MyLmV5SnpJam9pWnlJc0ltTWlPaUpFUVVGSVEyZEJRa2hVYjNWaE9XdGZYeTF2VEVGQlNVRkJRVUZVVFdwRmQwNVVaelJQVkdzeFRVUkZlazlVUVROTmVrRjNUVUZuUVVGM1FVRkJRVWxCUVVFaWZRIiwiZSI6InR3aXR0ZXIvdXNlci90d2VldHMiLCJwIjoiY3Vyc29yIn0",
    "has_more": true,
    "page_size": 14,
    "stopped_at": null
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T15:41:03.146Z",
  "redacted": true
}

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

API 상세

X User Tweets API는 어떻게 동작하나요

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

메서드

GET

응답 형식

JSON

왜 SocialCrawl인가요

X User Tweets 데이터는 왜 SocialCrawl로 가져올까요

X 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 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

자주 묻는 질문

API, 요금제, 기능에 대한 질문과 답변입니다.

문의하기
사용자의 트윗 목록은 어떻게 받나요?
GET /v1/twitter/user/tweets에 handle(@ 없이)을 담아 호출하면 돼요. 사용자의 최근 트윗이 본문, 참여 지표, 미디어, 작성 시각과 함께 통합 스키마 배열로 바로 응답돼요.
트윗마다 어떤 필드가 담겨 오나요?
트윗 ID, 본문, 좋아요, 리트윗, 답글, 인용 수, 미디어(이미지·영상 URL), 언어 코드, 작성 시각, 리트윗·인용 여부 플래그까지 한 번에 받아볼 수 있어요. 리트윗과 원본 트윗도 구분돼 있어요.
응답을 가볍게 받아볼 수도 있나요?
아니요. trim=true는 하위 호환을 위해 받아 주지만 무시돼요. 예전에는 원본 업스트림 페이로드만 줄이던 플래그였고, 통합 JSON 응답에는 원래부터 안 담겼어요. 빼고 그대로 호출하면 돼요.
이 엔드포인트는 요금이 얼마인가요?
스탠다드 티어 기준 호출당 1 크레딧이에요. 새 계정은 100 크레딧이 무료로 들어가고, 월 최소 약정이나 구독 없이 쓴 만큼만 차감돼요. 레이트 리밋도 없어서 필요할 때 바로 호출할 수 있어요.
X API Pro 요금제가 꼭 있어야 하나요?
아니요. SocialCrawl은 공식 X API를 사용하지 않아서 Pro, Basic, Enterprise 모두 필요 없어요. x-api-key와 핸들만 보내면 개발자 포털 없이 공개 트윗 데이터를 바로 받아볼 수 있어요.

AI에게 SocialCrawl을 물어보세요

X User Tweets 데이터, 가져올 준비 되셨어요?

API 키 받고 60초 안에 X 데이터를 받아 가세요.

무료로 시작하기

🤖 AI 에이전트나 LLM이신가요? 이 페이지를 markdown으로 읽어보세요