Prism Comment Leads API
API 한 번의 호출로 Prism Comment Leads 데이터를 받아 가세요. Searches TikTok for `query`, decides which posts are worth opening, fetches the comments of those posts only, and returns the commenters who want to buy what you sell. Every searched post that reports comments is judged for whether people who want `offer` would plausibly comment under it; posts judged clearly off-offer are skipped, and the busiest of the rest (by reported comment count) are opened, up to `open`. Each fetched comment is then labelled for purchase intent (says they bought or want to buy, or asks for a link, a price or where to get it), for being a real question, for spam, and for whether `offer` would help its author; a comment is a lead when purchase intent is at least 0.5, spam below 0.5 and offer fit at least 0.5. Each lead carries the comment id and text, the commenter's public username and display name as the platform shows them, the post it came from and every probability. `posts_opened` gives per-post stats, `skipped_posts` lists every post not opened with its reason (`no_comments`, `no_url`, `below_gate`, `over_open_limit`) and its judgment, and `economics` reports posts searched and opened, comments fetched and judged, credits by leg, the credits held and refunded, an estimate of what opening every post would have cost at the same prices, and credits per lead. Measured on 15 real searches (5 Korean): with the default `open=12` it found 88% of the leads that opening every post found, at 0.96 credits a lead against 1.39. Posts that report no comments are never opened. If the post judgment is unavailable the busiest posts are opened instead (`_warnings: ['post_gate_unavailable']`); a comment that could not be labelled is never a lead and is not billed. `include=askers` adds comments that ask a question the offer would answer, as `kind: 'asker'`. Leads are labels for your own review: nothing is contacted.
2026년 9월 업데이트SocialCrawl 팀이 직접 관리해요
검색어와 판매 상품에 맞는 TikTok 게시물의 댓글에서 구매 의향이 있는 리드를 찾아 반환합니다. 리드마다 원문 댓글과 게시물이 붙고, 연 게시물과 건너뛴 게시물, 사용한 크레딧도 함께 나옵니다.
리드가 게시물보다 댓글에 있을 때 사용하세요. 모든 게시물의 댓글을 받는 대신 구매자가 있을 만한 게시물의 댓글만 받습니다.
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 SearchComment Leads API로 무엇을 할 수 있을까요
Comment Leads 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/comment-leads?query=standing+desk+setup&offer=Height-adjustable+standing+desks+delivered+to+your+home"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/prism/comment-leads",
params={
'query': 'standing desk setup',
'offer': 'Height-adjustable standing desks delivered to your home',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/prism/comment-leads?query=standing+desk+setup&offer=Height-adjustable+standing+desks+delivered+to+your+home",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| query | 예 | The keyword search to run (max 100 chars). |
| offer | 아니오 | What you sell, in one or two plain sentences (max 300 chars). Used to judge which posts would draw your buyers and whether each commenter would be helped by it. Default: the `query` itself. |
| platform | 아니오 | Platform to search. `tiktok` (default and, for now, only). (tiktok) |
| posts | 아니오 | How many posts to search (1-90, default 30; 30 posts a search page). |
| open | 아니오 | The most posts whose comments are fetched (1-20, default 12). |
| comments_per_post | 아니오 | The most comments read from each opened post (1-200, default 50; 50 comments a page). |
| include | 아니오 | Set `askers` to also return comments that ask a question the offer would answer, marked `kind: 'asker'`. |
Prism Comment Leads 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 Comment Leads 응답도 같은 필드로 구성돼요.
Prism Comment Leads 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"
}
}
}Prism Comment Leads 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 Prism 데이터를 받아 가세요.