100 크레딧 무료, 카드 등록 없이
Facebook Post Comments API
API 한 번의 호출로 Facebook Post Comments 데이터를 받아 가세요. Returns a list of comments on a specific Facebook post. Each comment includes the author name, comment text, like count, reply count, and creation timestamp.
2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요
Facebook 게시물에 달린 댓글을 돌려줍니다. 작성자 이름과 댓글 내용, 좋아요 수, 답글 수, 작성 시각이 함께 나옵니다.
응답에 post/comment/replies가 요구하는 feedback_id와 expansion_token도 같이 나오니 게시물 아래 반응을 읽을 때 사용하세요.
68개 플랫폼을 병렬로 검색합니다
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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 SearchFacebook API
Post Comments API로 무엇을 할 수 있을까요
Post Comments 엔드포인트가 통합 스키마와 계산 필드를 담은 Facebook 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/facebook/post/comments?url=https%3A%2F%2Fwww.facebook.com%2FMeta%2Fvideos%2Fa-slightly-life-changing-story%2F1459847961114516%2F&label=purchase_intent"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/facebook/post/comments",
params={
'url': 'https://www.facebook.com/Meta/videos/a-slightly-life-changing-story/1459847961114516/',
'label': 'purchase_intent',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/facebook/post/comments?url=https%3A%2F%2Fwww.facebook.com%2FMeta%2Fvideos%2Fa-slightly-life-changing-story%2F1459847961114516%2F&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 | 아니오 | Full URL of the Facebook post to fetch comments for |
| feedback_id | 아니오 | Using feedback_id (instead of url) will *really* speed up the request. You can get the feedback_id when you make a request to /v1/facebook/post. |
| cursor | 아니오 | Cursor to get more comments. Get 'cursor' from previous response. |
| 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 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`. |
| 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
Facebook Post 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": "facebook",
"endpoint": "/v1/facebook/post/comments",
"data": {
"items": [
{
"comment": {
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTMyNTQ3NDgxNTk0OTk2",
"url": null,
"parent_id": null,
"post_id": "563063328588597",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_add51c",
"display_name": "user_3d0e68",
"avatar_url": "https://example.com/avatars/user_f59eee.png",
"verified": null
},
"engagement": {
"likes": 0,
"replies": 3
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2022-04-13T02:26:17.000Z",
"ext": {
"feedback_id": "ZmVlZGJhY2s6NTYzMDYzMzI4NTg4NTk3XzUzMjU0NzQ4MTU5NDk5Ng==",
"expansion_token": "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).",
"reaction_counts": null
}
},
"computed": {
"language": null,
"labels": {
"sentiment": {
"level": 3,
"score_0_1": 0.77,
"confidence": 0.94
},
"question": {
"p": 0.02
},
"purchase_intent": {
"p": 0.02
},
"complaint": {
"p": 0.02
}
}
}
},
{
"comment": {
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjY2Nzk0NDk0OTE3",
"url": null,
"parent_id": null,
"post_id": "563063328588597",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_c5097a",
"display_name": "user_edb910",
"avatar_url": "https://example.com/avatars/user_606f32.png",
"verified": null
},
"engagement": {
"likes": 0,
"replies": 1
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2022-04-13T04:09:36.000Z",
"ext": {
"feedback_id": "ZmVlZGJhY2s6NTYzMDYzMzI4NTg4NTk3XzU3MDY2Njc5NDQ5NDkxNw==",
"expansion_token": "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).",
"reaction_counts": null
}
},
"computed": {
"language": null,
"labels": {
"sentiment": {
"level": 4,
"score_0_1": 1,
"confidence": 1
},
"question": {
"p": 0.02
},
"purchase_intent": {
"p": 0.02
},
"complaint": {
"p": 0.02
}
}
}
}
],
"next_cursor": "sc2.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",
"total": null,
"labels": {
"presets": [
"sentiment",
"question"
],
"rows": 10,
"labelled": 10,
"cached": 10,
"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": 10,
"counted": 2,
"abstained": 0,
"share": null,
"low": 0.0686,
"high": 0.4592,
"receipts": [
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjk2MzY3ODI1Mjkz",
"text": "Sample comment text (redacted)."
},
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyODE1MzMwOTQ2NzMw",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 2,
"nulls": 0,
"low_confidence": 0
},
"purchase_intent": {
"n": 10,
"counted": 0,
"abstained": 0,
"share": 0,
"low": 0,
"high": 0.2129,
"receipts": [],
"policy_version": "share/1",
"too_few": false,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"complaint": {
"n": 10,
"counted": 2,
"abstained": 0,
"share": null,
"low": 0.0686,
"high": 0.4592,
"receipts": [
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyNDQ5OTM0MzE2NjAz",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
},
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyODE1MzMwOTQ2NzMw",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 2,
"nulls": 0,
"low_confidence": 0
},
"sentiment": {
"positive": {
"n": 10,
"counted": 5,
"abstained": 1,
"share": null,
"low": 0.3035,
"high": 0.782,
"receipts": [
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTMyNTQ3NDgxNTk0OTk2",
"text": "Sample comment text (redacted)."
},
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjY2Nzk0NDk0OTE3",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 5,
"nulls": 0,
"low_confidence": 1
},
"neutral": {
"n": 10,
"counted": 2,
"abstained": 1,
"share": null,
"low": 0.0765,
"high": 0.4964,
"receipts": [
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjk2MzY3ODI1Mjkz",
"text": "Sample comment text (redacted)."
},
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyODE1MzMwOTQ2NzMw",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 2,
"nulls": 0,
"low_confidence": 1
},
"negative": {
"n": 10,
"counted": 2,
"abstained": 1,
"share": null,
"low": 0.0765,
"high": 0.4964,
"receipts": [
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcxMjE0MDU0NDQwMTkx",
"text": "Sample comment text (redacted)."
},
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcyNDQ5OTM0MzE2NjAz",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 2,
"nulls": 0,
"low_confidence": 1
}
}
}
},
"comment_language": {
"policy_version": "share/1",
"n": 10,
"abstained": 0,
"judged_by": {
"script": 0,
"choice": 10
},
"shares": {
"en": {
"n": 10,
"counted": 10,
"abstained": 0,
"share": 1,
"low": 0.7871,
"high": 1,
"receipts": [
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTMyNTQ3NDgxNTk0OTk2",
"text": "Sample comment text (redacted)."
},
{
"id": "Y29tbWVudDo1NjMwNjMzMjg1ODg1OTdfNTcwNjY2Nzk0NDk0OTE3",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": false
}
}
},
"comment_recency": {
"policy_version": "d09-1",
"n": 10,
"counted": 10,
"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": 10
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T15:36:44.338Z",
"redacted": true
}통합 응답 구조를 보여 주는 실제 샘플이에요. 필드 값은 조회한 대상에 따라 달라져요.
API 상세
Facebook Post Comments 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 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"
}
}
}자주 묻는 질문
자주 묻는 질문
API, 요금제, 기능에 대한 질문과 답변입니다.
문의하기Facebook 게시물 댓글은 어떻게 가져오나요?
GET /v1/facebook/post/comments에 url 또는 feedback_id를 담아 호출하면 돼요. 작성자 이름, 댓글 본문, 좋아요 수, 답글 수, 작성 시각이 JSON 배열로 정리돼서 와요.
feedback_id는 뭐고 왜 써야 하나요?
feedback_id는 Facebook이 게시물 댓글 스레드를 구분하는 내부 식별자예요. url 대신 feedback_id로 호출하면 응답 속도가 훨씬 빨라져요. /v1/facebook/post 응답에서 feedback_id를 받아 그대로 쓰시면 돼요.
댓글은 몇 개까지 페이지네이션할 수 있나요?
cursor 파라미터로 전체 댓글 목록을 이어서 받아볼 수 있어요. 각 응답에 다음 페이지용 cursor가 포함되어 있고, 빈 cursor가 올 때까지 호출하면 돼요. 복잡한 페이지네이션 토큰 처리는 SocialCrawl이 대신해 드려요.
답글(대댓글)도 응답에 포함되나요?
최상위 댓글과 각 댓글의 답글 수(reply count)가 함께 와요. 답글 스레드는 인라인으로 펼쳐지진 않으니, 답글 수를 보고 깊이 분석이 필요한 스레드만 골라서 추가 요청을 보내시면 돼요.
댓글을 감성 분석에 바로 쓸 수 있나요?
네, 각 댓글의 원문, 작성자, 좋아요 수가 그대로 들어와서 LLM이나 분류기에 바로 넣어 쓸 수 있어요. /v1/facebook/post의 리액션 분포와 결합하면 게시물 전체 맥락까지 함께 분석할 수 있어요.
AI에게 SocialCrawl을 물어보세요
Facebook Post Comments 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 Facebook 데이터를 받아 가세요.