Prism Comments API
API 한 번의 호출로 Prism Comments 데이터를 받아 가세요. Give it any TikTok, YouTube, Facebook, Reddit, Hacker News, or Instagram post URL and it harvests every top-level comment (paginated to the end) with replies nested where the platform supports it (TikTok, YouTube, Facebook). Reddit and Hacker News return their whole nested thread. Instagram comes back top-level only, because its comment source has no reply leg to walk; its replies are still reachable, one call per parent comment, from `GET /v1/instagram/post/comment/replies` (post `url` plus the parent `comment_id`, cursor-paged, 1 credit a call). Every Instagram comment carries `engagement.replies`, so call it only for the comments whose count is above zero. Pass `sort=top` to get the most-liked comments first (ranked by `engagement.likes`): ideal for pulling the top comments on a high-volume post; pair it with `limit` to cap how many you get back (e.g. `sort=top&max=500&limit=200` scans ~500 and returns the top 200). YouTube sorts upstream so its top set is exact; other platforms are sorted across the scanned set. Metered at 1 credit per internal page call (minimum 2): `sort`/`limit` never change the price, which always follows pages scanned (`max`). Instagram is the exception: an Instagram post URL is a flat 5 credits per call whatever `max` and `replies` you pass, because that source returns the comment set in one mobile-upstream call rather than by page. Returns sync JSON, or a typed SSE stream when you send `Accept: text/event-stream`: a `page` chunk lands as each page settles. The `next_cursor` is one opaque token that resumes every leg; `legs[]` reports each page's status, cost, and latency.
2026년 9월 업데이트SocialCrawl 팀이 직접 관리해요
TikTok과 YouTube, Facebook, Reddit, Hacker News, Instagram 게시물의 댓글을 끝까지 페이징해 전부 반환하며 플랫폼이 허용하면 답글도 중첩해 담습니다.
댓글 스레드 전체가 필요할 때 사용하세요. 플랫폼별 comments 엔드포인트를 돌려가며 페이지를 이어 붙이지 않고 요청 한 번으로 끝납니다.
65개 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 SearchTikTok·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 SearchTikTok·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 SearchTikTok·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 SearchComments API로 무엇을 할 수 있을까요
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/comments?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DdQw4w9WgXcQ&replies=true&sort=top"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/prism/comments",
params={
'url': 'https://www.youtube.com/watch?v=dQw4w9WgXcQ',
'replies': 'true',
'sort': 'top',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/prism/comments?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DdQw4w9WgXcQ&replies=true&sort=top",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| url | 예 | Absolute http(s) URL of the post whose comments to harvest. |
| max | 아니오 | Stop after roughly this many top-level comments (1-5000, default 1000). Whole pages are returned, so the actual count can slightly exceed this. Drives billing and, for `sort=top`, the depth of the ranking scan. |
| replies | 아니오 | Expand replies for comments that have them, where the platform supports it (default true; TikTok/YouTube/Facebook). Reddit and Hacker News always return their whole nested thread and ignore it. On Instagram it has no effect and is never charged for: take `comment.id` from any comment whose `engagement.replies` is above zero and call `GET /v1/instagram/post/comment/replies` instead. Pair with `replies=false` when you only want the top comments. |
| cursor | 아니오 | Opaque composite cursor from a prior response's `next_cursor` to resume harvesting. |
| sort | 아니오 | `recent` (default: natural order) or `top` (most-liked first, ranked by each comment's like count). With `top`, the response adds `sorted_by: "likes_desc"`. On Instagram, `top` returns the platform's own ranked head (`sorted_by: "popular"`) rather than a re-sort, and that head is finite: use the default `recent` to harvest a whole Instagram thread. (top | recent) |
| limit | 아니오 | Cap on how many top-level comments to return after sorting/scanning (1-5000, defaults to `max`). Truncates only the returned set, never what was scanned or billed. The response reports `returned`. |
Prism 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": "instagram",
"endpoint": "/v1/instagram/engagement",
"data": {
"engagement_rate_percentages": 38.33,
"recent_posts": 12,
"followers": 87608035,
"comments": 528912,
"likes": 33049046,
"recent_posts_explanation": "Statistics based on the last 12 posts",
"id_user": "2278169415",
"username": "mrbeast",
"is_private": false,
"posts_details": [
{
"likes": 5636982,
"comments": 69484,
"taken_at": 1781457954,
"datetime": "2026-06-14 20:25:54",
"hours_since_post": 461,
"time_ago": "19 days ago",
"likes_per_hour": 12228,
"comments_per_hour": 151
},
{
"likes": 20000768,
"comments": 223510,
"taken_at": 1732824650,
"datetime": "2024-11-28 23:10:50",
"hours_since_post": 13971,
"time_ago": "2 years ago",
"likes_per_hour": 1432,
"comments_per_hour": 16
},
{
"likes": 929226,
"comments": 30633,
"taken_at": 1782232475,
"datetime": "2026-06-23 19:34:35",
"hours_since_post": 246,
"time_ago": "10 days ago",
"likes_per_hour": 3777,
"comments_per_hour": 125
},
{
"likes": 487761,
"comments": 22482,
"taken_at": 1781799425,
"datetime": "2026-06-18 19:17:05",
"hours_since_post": 366,
"time_ago": "15 days ago",
"likes_per_hour": 1333,
"comments_per_hour": 61
},
{
"likes": 712265,
"comments": 15716,
"taken_at": 1781366405,
"datetime": "2026-06-13 19:00:05",
"hours_since_post": 487,
"time_ago": "20 days ago",
"likes_per_hour": 1463,
"comments_per_hour": 32
},
{
"likes": 1475116,
"comments": 35386,
"taken_at": 1781277094,
"datetime": "2026-06-12 18:11:34",
"hours_since_post": 512,
"time_ago": "21 days ago",
"likes_per_hour": 2881,
"comments_per_hour": 69
},
{
"likes": 1108220,
"comments": 26632,
"taken_at": 1780160249,
"datetime": "2026-05-30 19:57:29",
"hours_since_post": 822,
"time_ago": "1 months ago",
"likes_per_hour": 1348,
"comments_per_hour": 32
},
{
"likes": 542948,
"comments": 28476,
"taken_at": 1779375582,
"datetime": "2026-05-21 17:59:42",
"hours_since_post": 1040,
"time_ago": "1 months ago",
"likes_per_hour": 522,
"comments_per_hour": 27
},
{
"likes": 698514,
"comments": 24401,
"taken_at": 1779120014,
"datetime": "2026-05-18 19:00:14",
"hours_since_post": 1111,
"time_ago": "2 months ago",
"likes_per_hour": 629,
"comments_per_hour": 22
},
{
"likes": 468000,
"comments": 13548,
"taken_at": 1778947209,
"datetime": "2026-05-16 19:00:09",
"hours_since_post": 1159,
"time_ago": "2 months ago",
"likes_per_hour": 404,
"comments_per_hour": 12
},
{
"likes": 526594,
"comments": 24411,
"taken_at": 1777737719,
"datetime": "2026-05-02 19:01:59",
"hours_since_post": 1495,
"time_ago": "2 months ago",
"likes_per_hour": 352,
"comments_per_hour": 16
},
{
"likes": 462652,
"comments": 14233,
"taken_at": 1777580305,
"datetime": "2026-04-30 23:18:25",
"hours_since_post": 1538,
"time_ago": "2 months ago",
"likes_per_hour": 301,
"comments_per_hour": 9
}
]
},
"credits_used": 5,
"credits_remaining": 9999,
"request_id": "req-8Kq2ZmR4vT9xLb3P",
"cached": false
}Instagram API에서 가져온 예시예요. 모든 SocialCrawl 엔드포인트가 똑같은 통합 스키마를 돌려주기 때문에, Prism Comments 응답도 같은 필드로 구성돼요.
Prism Comments API는 어떻게 동작하나요
API 키와 함께 GET 요청을 보내면, 통합 스키마와 계산 필드를 담은 깔끔한 JSON이 돌아와요.
메서드
GET
응답 형식
JSON
소셜 미디어 데이터를 몇 초 만에 수집하는 방법
개발자를 위한 가장 빠른 소셜 미디어 스크래핑 API. 월간 활성 사용자 100억 명 이상을 포괄하는 65개 플랫폼에서 프로필, 게시물, 댓글, 분석 데이터를 수집하세요.
모든 플랫폼을 하나의 스키마로
동일한 응답 구조로 65개 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(){
"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
API, 요금제, 기능에 대한 질문과 답변입니다.
문의하기게시물의 모든 댓글을 어떻게 가져오나요?
어떤 플랫폼을 지원하나요?
답글도 중첩해서 주나요?
요금은 어떻게 책정되나요?
댓글을 수집되는 대로 스트리밍으로 받을 수 있나요?
AI에게 SocialCrawl을 물어보세요
Prism Comments 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 Prism 데이터를 받아 가세요.