100 크레딧 무료, 카드 등록 없이
X Tweet Replies API
API 한 번의 호출로 X Tweet Replies 데이터를 받아 가세요. Returns the replies to a specific tweet, each with the reply text, author info, like count, reply count, and creation timestamp. The tweet itself is not included in the list, and a tweet with no replies returns an empty list. Page size is set by the source. Deeper threads are a cursor walk: send `pagination.next_cursor` back as `cursor` and repeat until `pagination.has_more` is false; each page costs 1 credit. Without `sort`, replies come in the platform's own ranking, not in time order. `sort=latest` returns replies newest first, and the cursor remembers the sort, so later pages continue in time order (X occasionally serves one reply a page late, at the top of the next page). To check for new replies, send `since_id` set to the newest reply id from your last check: the call returns only newer replies, newest first, and stops once it reaches older ones, so a check with nothing new returns an empty list and costs nothing. When the main source cannot fetch the first page, a second source answers with up to 40 direct replies and no cursor, so that response is the whole list; it cannot keep replies in time order, so a `sort=latest` or `since_id` call is answered by the main source only.
2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요
트윗에 달린 답글을 돌려줍니다. 답글마다 본문, 작성자 정보, 좋아요와 답글 수, 작성 시각이 붙고, 원본 트윗은 목록에 들어가지 않습니다.
트윗 URL로 그 아래 대화를 읽을 때 사용하세요. 커서를 보내면 더 깊은 스레드까지 내려가고, 답글이 없는 트윗은 빈 목록이 나옵니다.
69개 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·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 SearchX API
Tweet Replies API로 무엇을 할 수 있을까요
Tweet Replies 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/tweet/replies?url=https%3A%2F%2Fx.com%2FNews24%2Fstatus%2F2093257170653483101&label=purchase_intent"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/twitter/tweet/replies",
params={
'url': 'https://x.com/News24/status/2093257170653483101',
'label': 'purchase_intent',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/twitter/tweet/replies?url=https%3A%2F%2Fx.com%2FNews24%2Fstatus%2F2093257170653483101&label=purchase_intent",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();함께 보내면 좋은 파라미터
label=purchase_intent댓글마다 구매 의사가 있는지 표시합니다. 추가 크레딧은 들지 않으며 감정, 질문, 불만 판정도 무료입니다.
파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| url | 예 | Full URL of the tweet to fetch replies for |
| cursor | 아니오 | Cursor from the previous response's pagination.next_cursor to fetch more replies. It remembers `sort` and `since_id`, so you do not need to send them again |
| sort | 아니오 | Reply order: latest for the newest replies first, with later pages continuing in time order, or relevance for the platform's ranking. Leave it out for the default ranking, which is not in time order (relevance | latest) |
| since_id | 아니오 | The newest reply id from your last check (digits only). Returns only replies newer than it, newest first, and stops once it reaches older ones, so no next_cursor comes back after that; it also reads the next page once, so a reply X served a page late is not missed. A check with nothing new returns an empty list and costs nothing. Sets sort=latest; sort=relevance with it is a free 400 |
| label | 아니오 | Optional CSV of SocialCrawl labels to add to every comment: sentiment, spam, question, purchase_intent, complaint, toxic, low_quality, injection. Without this param every page already carries sentiment, question, purchase_intent and complaint, free; label= adds the labels you name to them (the defaults keep running). Each comment gains computed.labels with probabilities (0 to 1), so you choose the cut-off; a comment that could not be judged carries labels: null. sentiment, question, purchase_intent and complaint are free when asked for too; spam, toxic, low_quality and injection add 1 credit per started 25 newly judged comments (comments already labelled for anyone are free, and so is a cached page). injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. judgments=off (or label=none) turns the default labels off. data.labels reports what was judged and billed. |
| exclude | 아니오 | Optional CSV (spam, low_quality), only with the same preset in label. Drops comments whose probability is 0.8 or higher and lists their ids in data.labels.dropped_ids. A comment that could not be judged is never dropped. |
| 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
X Tweet Replies 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/tweet/replies",
"data": {
"items": [
{
"comment": {
"id": "2093334825075716404",
"url": "https://example.com/redacted",
"parent_id": "2093257170653483101",
"post_id": "2093257170653483101",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_e5f3d7",
"display_name": "user_d5bef4",
"avatar_url": "https://example.com/avatars/user_b94baf.png",
"verified": true
},
"engagement": {
"likes": 24,
"replies": 3
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-08-28T13:48:09.000Z",
"ext": {
"content_language": "en",
"author_followers": 1154,
"author_following": 706,
"author_posts_count": 43575,
"quote_count": 1,
"views": 3925,
"saves": 0
}
},
"computed": {
"language": "en",
"labels": {
"sentiment": {
"level": 2,
"score_0_1": 0.54,
"confidence": 0.17
},
"question": {
"p": 0.03
},
"purchase_intent": {
"p": 0.1
},
"complaint": {
"p": 0.05
}
}
}
},
{
"comment": {
"id": "2093280260154368190",
"url": "https://example.com/redacted",
"parent_id": "2093257170653483101",
"post_id": "2093257170653483101",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_0843c0",
"display_name": "user_9c7700",
"avatar_url": "https://example.com/avatars/user_b2b11a.png",
"verified": true
},
"engagement": {
"likes": 6,
"replies": 0
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-08-28T10:11:19.000Z",
"ext": {
"content_language": "tl",
"author_followers": 6584,
"author_following": 7501,
"author_posts_count": 39317,
"quote_count": 0,
"views": 1380,
"saves": 0
}
},
"computed": {
"language": null,
"labels": {
"sentiment": {
"level": 1,
"score_0_1": 0.2,
"confidence": 0.68
},
"question": {
"p": 0.09
},
"purchase_intent": {
"p": 0.04
},
"complaint": {
"p": 0.09
}
}
}
}
],
"next_cursor": "DAAKCgABHTouZHi__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",
"total": null,
"labels": {
"presets": [
"sentiment",
"question"
],
"rows": 36,
"labelled": 36,
"cached": 36,
"skipped": 0,
"unjudged": 0,
"dropped": 0,
"dropped_ids": [],
"extra_credits": 0,
"methodology_version": "labels/1",
"mode": "default",
"status": "complete",
"pending": 0,
"pending_ids": []
},
"label_share": {
"policy_version": "share/1",
"presets": {
"question": {
"n": 36,
"counted": 1,
"abstained": 1,
"share": 0.0286,
"low": 0.0064,
"high": 0.1184,
"receipts": [
{
"id": "2093336263382155464",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": false,
"at_cut": 1,
"nulls": 0,
"low_confidence": 1
},
"purchase_intent": {
"n": 36,
"counted": 1,
"abstained": 0,
"share": 0.0278,
"low": 0.0062,
"high": 0.1154,
"receipts": [
{
"id": "2093894790798590253",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": false,
"at_cut": 1,
"nulls": 0,
"low_confidence": 0
},
"complaint": {
"n": 36,
"counted": 0,
"abstained": 1,
"share": 0,
"low": 0,
"high": 0.0718,
"receipts": [],
"policy_version": "share/1",
"too_few": false,
"at_cut": 1,
"nulls": 0,
"low_confidence": 1
},
"sentiment": {
"positive": {
"n": 36,
"counted": 0,
"abstained": 6,
"share": 0,
"low": 0,
"high": 0.0827,
"receipts": [],
"policy_version": "share/1",
"too_few": false,
"at_cut": 0,
"nulls": 0,
"low_confidence": 6
},
"neutral": {
"n": 36,
"counted": 2,
"abstained": 6,
"share": 0.0667,
"low": 0.0223,
"high": 0.1827,
"receipts": [
{
"id": "2093336263382155464",
"text": "Sample comment text (redacted)."
},
{
"id": "2093395650016670041",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": false,
"at_cut": 2,
"nulls": 0,
"low_confidence": 6
},
"negative": {
"n": 36,
"counted": 28,
"abstained": 6,
"share": 0.9333,
"low": 0.8173,
"high": 0.9777,
"receipts": [
{
"id": "2093280260154368190",
"text": "Sample comment text (redacted)."
},
{
"id": "2093273537075147064",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": false,
"at_cut": 28,
"nulls": 0,
"low_confidence": 6
}
}
}
},
"comment_language": {
"policy_version": "share/1",
"n": 36,
"abstained": 8,
"judged_by": {
"script": 0,
"choice": 28
},
"shares": {
"en": {
"n": 36,
"counted": 27,
"abstained": 8,
"share": 0.9643,
"low": 0.8548,
"high": 0.992,
"receipts": [
{
"id": "2093334825075716404",
"text": "Sample comment text (redacted)."
},
{
"id": "2093273537075147064",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": false
},
"nl": {
"n": 36,
"counted": 1,
"abstained": 8,
"share": 0.0357,
"low": 0.008,
"high": 0.1452,
"receipts": [
{
"id": "2093274966372290829",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": false
}
}
},
"comment_recency": {
"policy_version": "d09-1",
"n": 36,
"counted": 36,
"abstained": 0,
"share_last_24h": 0,
"share_later_half": null,
"too_few": false,
"stage": "unknown",
"order": "default",
"recent_share_is_floor": true,
"receipts": []
},
"dropped": 0
},
"credits_used": 1,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.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",
"has_more": true,
"page_size": 36
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T15:40:56.239Z",
"redacted": true
}통합 응답 구조를 보여 주는 실제 샘플이에요. 필드 값은 조회한 대상에 따라 달라져요.
API 상세
X Tweet Replies API는 어떻게 동작하나요
API 키와 함께 GET 요청을 보내면, 통합 스키마와 계산 필드를 담은 깔끔한 JSON이 돌아와요.
메서드
GET
응답 형식
JSON
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"
}
}
}X Tweet Replies 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 X 데이터를 받아 가세요.