100 크레딧 무료, 카드 등록 없이
Prism Profile Comments API
API 한 번의 호출로 Prism Profile Comments 데이터를 받아 가세요. Give it a profile, page or channel on Instagram, Facebook, YouTube, TikTok or X and it reads the comments under that account's most recent posts, then returns them as one flat list, newest first, in the same comment rows as each platform's own comment endpoint. Every row names its post: `comment.post_id` and `comment.ext.post_url`. Pass `since` to get only the comments published after it, which is how you poll for new comments without diffing anything yourself. On Instagram and YouTube the comments are read newest first, so each post stops at the first comment older than `since`: a call with a recent `since` reads about one comment page a post. Facebook and TikTok do not return comments newest first, so each post is read up to `per_post` comments and filtered by `since` (`window.ordered` is false and `_warnings` says so). `posts` is how many of the most recent posts are scanned (posts whose comment count is 0 are skipped free). `data.posts` lists every post scanned with its status, the comments read and kept, the pages and credits it cost and why its walk stopped; `next_cursor` there continues one post on its own comment endpoint. One post that fails never fails the call: it is marked `failed` in `posts`, named in `legs` and `_warnings`, and not charged. Replies come nested where the platform's comment endpoint nests them. It is also a Monitor recipe: create a monitor on `prism/profile/comments` with `track` (`items[].comment.engagement.likes` and `total`), `since: "now-3h"`, an hourly cadence and `webhook_rows: "new"`, and each run delivers only the comments that are new since the previous run (add `alert_rules` `rows_new gt 0` with `suppress_webhook_unless_alert` to send nothing when nothing is new). Never cached.
2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요
Instagram, Facebook, YouTube, TikTok, X 계정의 최근 게시물에 달린 댓글을 최신순 목록 하나로 반환합니다. 댓글마다 어느 게시물의 댓글인지 표시되고, `since`를 넣으면 그 이후에 달린 댓글만 담깁니다.
기관이나 브랜드 계정의 게시물에 새 댓글이 달리는지 지켜볼 때 사용하세요. 최근 시각을 `since`로 넣어 주기적으로 호출하거나, `webhook_rows: "new"`로 모니터를 걸면 실행마다 새 댓글만 웹훅으로 받습니다.
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 SearchPrism API
Profile Comments API로 무엇을 할 수 있을까요
Profile Comments 엔드포인트가 통합 스키마와 계산 필드를 담은 Prism 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/prism/profile/comments?url=https%3A%2F%2Fwww.instagram.com%2Fnasa%2F&posts=3&per_post=20"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/prism/profile/comments",
params={
'url': 'https://www.instagram.com/nasa/',
'posts': '3',
'per_post': '20',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/prism/profile/comments?url=https%3A%2F%2Fwww.instagram.com%2Fnasa%2F&posts=3&per_post=20",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| url | 아니오 | The profile, page or channel URL: instagram.com/<handle>, facebook.com/<page>, youtube.com/@<handle> or youtube.com/channel/UC..., tiktok.com/@<handle>, or x.com/<handle>. The platform is read from the URL. A link to one post is refused: use that platform's own comment endpoint for one post. One of `url` or `handle` is required. |
| platform | 아니오 | With `handle`: instagram, facebook, youtube, tiktok or twitter (x is accepted for twitter). Not needed with `url`. (instagram | facebook | youtube | tiktok | twitter | x) |
| handle | 아니오 | The account's handle, with or without @, together with `platform`. On YouTube a channel id (UC...) works too. A pasted profile URL is read like `url`. |
| posts | 아니오 | How many of the profile's most recent posts to scan (1-25, default 10). A post whose comment count is 0 is skipped and costs nothing. |
| per_post | 아니오 | The most comments read on each post (1-200, default 50), newest first on Instagram and YouTube. Sets the hold; you pay only for the pages read. |
| since | 아니오 | Only comments published at or after this time: an ISO 8601 timestamp or YYYY-MM-DD (midnight UTC). On Instagram and YouTube each post's walk stops at the first older comment; on Facebook and TikTok the comments are filtered. In a Monitor, `now-3h` (or `now-1d`) is resolved to a timestamp at every run. |
응답 예시
Prism Profile 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": "youtube",
"endpoint": "/v1/youtube/video/comments",
"data": {
"items": [
{
"comment": {
"id": "Ugzge340dBgB75hWBm54AaABAg",
"url": null,
"parent_id": null,
"post_id": "dQw4w9WgXcQ",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_607bca",
"display_name": "user_607bca",
"avatar_url": "https://example.com/avatars/user_b3bde6.png",
"verified": null
},
"engagement": {
"likes": 322497,
"replies": 1000
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2025-04-22T19:05:08.000Z",
"ext": {
"replies_token": "sc2.eyJzIjoiYSIsImMiOiJVZ3pnZTM0MGRCZ0I3NWhXQm01NEFhQUJBZyJ9",
"updated_at": "2025-04-22T19:05:08Z",
"author_channel_id": "user_0faa89",
"author_url": "https://example.com/user_fa30a8",
"viewer_rating": "Sample comment text (redacted).",
"text_original": "Sample comment text (redacted).",
"preview_replies": [
{
"id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHE9eIiztxR",
"channelId": "user_b70959",
"videoId": "dQw4w9WgXcQ",
"textDisplay": "Sample comment text (redacted).",
"textOriginal": "Sample comment text (redacted).",
"parentId": "Ugzge340dBgB75hWBm54AaABAg",
"authorDisplayName": "user_a07ce6",
"authorProfileImageUrl": "https://example.com/avatars/user_b7fd7d.png",
"authorChannelUrl": "https://example.com/user_7ab559",
"authorChannelId": {
"value": "user_5afaba"
},
"canRate": true,
"viewerRating": "Sample comment text (redacted).",
"likeCount": 7573,
"publishedAt": "2025-04-22T19:14:32Z",
"updatedAt": "2025-04-22T19:14:32Z"
},
{
"id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHEAB_-JmDA",
"channelId": "user_b70959",
"videoId": "dQw4w9WgXcQ",
"textDisplay": "Sample comment text (redacted).",
"textOriginal": "Sample comment text (redacted).",
"parentId": "Ugzge340dBgB75hWBm54AaABAg",
"authorDisplayName": "user_d8b3d6",
"authorProfileImageUrl": "https://example.com/avatars/user_2ece01.png",
"authorChannelUrl": "https://example.com/user_7a3f35",
"authorChannelId": {
"value": "user_da87da"
},
"canRate": true,
"viewerRating": "Sample comment text (redacted).",
"likeCount": 3180,
"publishedAt": "2025-04-22T19:19:13Z",
"updatedAt": "2025-04-22T19:19:13Z"
}
]
}
},
"computed": {
"language": "en",
"labels": {
"sentiment": {
"level": 3,
"score_0_1": 0.85,
"confidence": 0.61
},
"question": {
"p": 0.03
},
"purchase_intent": {
"p": 0.02
},
"complaint": {
"p": 0.04
}
}
}
},
{
"comment": {
"id": "UgzjClLu_KHsDVWheGx4AaABAg",
"url": null,
"parent_id": null,
"post_id": "dQw4w9WgXcQ",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_f90324",
"display_name": "user_f90324",
"avatar_url": "https://example.com/avatars/user_191ddb.png",
"verified": null
},
"engagement": {
"likes": 1,
"replies": 0
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-10-02T15:39:20.000Z",
"ext": {
"replies_token": "sc2.eyJzIjoiYSIsImMiOiJVZ3pqQ2xMdV9LSHNEVldoZUd4NEFhQUJBZyJ9",
"updated_at": "2026-10-02T15:39:20Z",
"author_channel_id": "user_121069",
"author_url": "https://example.com/user_ec3ca5",
"viewer_rating": "Sample comment text (redacted).",
"text_original": "Sample comment text (redacted)."
}
},
"computed": {
"language": "en",
"labels": {
"sentiment": {
"level": 3,
"score_0_1": 0.76,
"confidence": 0.8
},
"question": {
"p": 0.02
},
"purchase_intent": {
"p": 0.02
},
"complaint": {
"p": 0.03
}
}
}
}
],
"next_cursor": "sc2.eyJzIjoiYSIsImMiOiJzYzEuZXlKaklqb2lXakpXTUZneU5XeGtNbFo2WkVZNWJXRllTbnBrUXpCMFVUSmtibE5YWkVKVlZscEhUakphVTFRd1NrcFNhMDVPV2pKa1NGRlZSbFJSYkVad1drVnNRMW93U2taYU1WWktZVlZPUWxkVlJrTlRWVnBFVXpKa2JsSXdSa0pWTUVwU1lWVm9TbEZ0WkVKU1YyUldVMWMxY0ZGV2JFSlJhMnhIVVRCc2Nsb3daRUpSVjJ4RldqSTVUbEV3ZEd4YU1UZzFWbFZrUmxNeWF6Rk9SWEJDVWtaV1FsRnNiRUpWVVQwOUlpd2ljeUk2V3lKVlozcG5aVE0wTUdSQ1owSTNOV2hYUW0wMU5FRmhRVUpCWnlJc0lsVm5lbXBEYkV4MVgwdEljMFJXVjJobFIzZzBRV0ZCUWtGbklsMTkifQ",
"total": null,
"labels": {
"presets": [
"sentiment",
"question"
],
"rows": 2,
"labelled": 2,
"cached": 1,
"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": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"purchase_intent": {
"n": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"complaint": {
"n": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"sentiment": {
"positive": {
"n": 2,
"counted": 2,
"abstained": 0,
"share": null,
"low": 0.425,
"high": 1,
"receipts": [
{
"id": "Ugzge340dBgB75hWBm54AaABAg",
"text": "Sample comment text (redacted)."
},
{
"id": "UgzjClLu_KHsDVWheGx4AaABAg",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 2,
"nulls": 0,
"low_confidence": 0
},
"neutral": {
"n": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"negative": {
"n": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
}
}
}
},
"comment_language": {
"policy_version": "share/1",
"n": 2,
"abstained": 0,
"judged_by": {
"script": 0,
"choice": 2
},
"shares": {
"en": {
"n": 2,
"counted": 2,
"abstained": 0,
"share": null,
"low": 0.425,
"high": 1,
"receipts": [
{
"id": "Ugzge340dBgB75hWBm54AaABAg",
"text": "Sample comment text (redacted)."
},
{
"id": "UgzjClLu_KHsDVWheGx4AaABAg",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true
}
}
},
"comment_recency": {
"policy_version": "d09-1",
"n": 2,
"counted": 2,
"abstained": 0,
"share_last_24h": 0.5,
"share_later_half": null,
"too_few": true,
"stage": "unknown",
"order": "top",
"recent_share_is_floor": true,
"receipts": [
{
"id": "UgzjClLu_KHsDVWheGx4AaABAg",
"text": "Sample comment text (redacted)."
}
]
},
"dropped": 0
},
"credits_used": 1,
"credits_remaining": 9999,
"request_id": "req-8Kq2ZmR4vT9xLb3P",
"cached": false,
"pagination": {
"next_cursor": "sc.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",
"has_more": true,
"page_size": 2
},
"redacted": true
}YouTube API에서 가져온 예시예요. 모든 SocialCrawl 엔드포인트가 똑같은 통합 스키마를 돌려주기 때문에, Prism Profile Comments 응답도 같은 필드로 구성돼요.
API 상세
Prism Profile 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 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"
}
}
}Prism Profile Comments 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 Prism 데이터를 받아 가세요.