100 크레딧 무료, 카드 등록 없이
LinkedIn Profile Comments API
LinkedIn 회원이 남의 게시물에 남긴 댓글을 반환합니다. 댓글 본문과 그 댓글이 달린 게시물, 시각이 나옵니다.
GET /v1/linkedin/profile/commentsLinkedIn Profile Comments API는 언제 쓰나요
그 사람이 다른 대화에서 어떻게 움직이는지 추적할 때 사용하세요. 특정 게시물 하나의 댓글은 post/comments입니다.
API 레퍼런스 영문 원문
Lists the comments a LinkedIn member has left on posts, newest first, as one fixed window of up to 20: each with the comment text, its time and reactions, and the post it was left on (text, media, author and engagement). When the primary source is momentarily rate-limited, a second source answers with the same comments in the same order, with the same text, dates and counts, but each image, logo and avatar list carries one size (the largest), a video's duration, aspect_ratio, stream sizes and thumbnail dimensions are null, the post author's first_name and last_name are null, and on a post with a ugcPost id (of any media type) post.created_at can be up to about two minutes later; data._warnings says so. From either source, post.created_at is the time the post was published, read from the post's id. From the second source each comment also carries its own link (url) and whether it was a contribution to a collaborative article (is_contribution), and its post carries the post it quotes (post.reshared_post) and the author's profile button (post.author.website, post.author.website_label); from the primary source these keys are null. A company author's post.author.public_identifier is its page handle.
75개 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 SearchLinkedIn API
Profile Comments API로 무엇을 할 수 있을까요
Profile Comments 엔드포인트가 통합 스키마와 계산 필드를 담은 LinkedIn 데이터를 한 번의 요청으로 보내드려요. 스크래핑 인프라를 직접 만들거나 유지할 필요가 없어요.
요청 예시
# GET /v1/linkedin/profile/comments: 5 credits per call. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 29: this endpoint's measured p99 latency x 1.5.
# --retry 3: retries timeouts, 429 and 5xx, honoring Retry-After.
# -o response.json keeps only the final attempt's body.
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 29 --retry 3 -o response.json \
-H "x-api-key: YOUR_API_KEY" \
-H "Idempotency-Key: $IDEMPOTENCY_KEY" \
"https://www.socialcrawl.dev/v1/linkedin/profile/comments?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fwilliamhgates%2F" && cat response.json# GET /v1/linkedin/profile/comments: 5 credits per call. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid
import requests
API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 29 # this endpoint's measured p99 latency x 1.5.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/linkedin/profile/comments"
def backoff(attempt):
# Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
return 2 ** attempt * (0.5 + random.random() / 2)
def socialcrawl(params):
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
idempotency_key = str(uuid.uuid4())
for attempt in range(MAX_RETRIES + 1):
try:
res = requests.get(
URL,
params=params,
headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
timeout=TIMEOUT_S,
)
body = res.json()
except (requests.RequestException, ValueError):
# A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if attempt == MAX_RETRIES:
raise
time.sleep(backoff(attempt))
continue
if body["success"]:
return body
error = body["error"]
# Branch on error["type"], never on the message text.
if error["type"] == "RESOURCE_NOT_FOUND":
return None # refunded: nothing to read
retry_after = res.headers.get("Retry-After")
# SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
# Retry-After (seconds) wins; otherwise back off.
time.sleep(float(retry_after) if retry_after else backoff(attempt))
params = {
"url": "https://www.linkedin.com/in/williamhgates/",
}
body = socialcrawl(params)
if body is not None:
print(body["data"])// GET /v1/linkedin/profile/comments: 5 credits per call. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 29_000; // this endpoint's measured p99 latency x 1.5.
const MAX_RETRIES = 3;
type Page = { next_cursor: string | null; has_more: boolean };
type SocialCrawlResponse =
| { success: true; data: any; pagination?: Page; credits_used: number; request_id: string }
| { success: false; error: { type: string; message: string; retryable: boolean }; request_id: string };
const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
// Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
const backoffMs = (attempt: number) => 2 ** attempt * 1000 * (0.5 + Math.random() / 2);
async function socialcrawl(url: URL) {
// One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
const idempotencyKey = crypto.randomUUID();
for (let attempt = 0; ; attempt++) {
let res: Response;
let body: SocialCrawlResponse;
try {
res = await fetch(url, {
headers: {
"x-api-key": API_KEY,
"Idempotency-Key": idempotencyKey,
},
signal: AbortSignal.timeout(TIMEOUT_MS),
});
body = (await res.json()) as SocialCrawlResponse;
} catch (error) {
// A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if (attempt >= MAX_RETRIES) throw error;
await sleep(backoffMs(attempt));
continue;
}
if (body.success) return body;
// Branch on error.type, never on the message text.
if (body.error.type === "RESOURCE_NOT_FOUND") return null; // refunded: nothing to read
const retryAfter = res.headers.get("Retry-After");
// SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
const permanent = body.error.type === "SERVICE_UNAVAILABLE" && retryAfter === null;
if (!body.error.retryable || permanent || attempt >= MAX_RETRIES) {
throw new Error(`${body.error.type}: ${body.error.message} (request_id ${body.request_id})`);
}
// Retry-After (seconds) wins; otherwise back off.
await sleep(retryAfter ? Number(retryAfter) * 1000 : backoffMs(attempt));
}
}
const url = new URL("https://www.socialcrawl.dev/v1/linkedin/profile/comments");
url.searchParams.set("url", "https://www.linkedin.com/in/williamhgates/");
const body = await socialcrawl(url);
if (body) console.log(body.data);파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| url | 예 | Full URL of the LinkedIn profile, company, or post. |
| urn | 아니오 | The member's opaque LinkedIn URN, as returned in `author.ext.urn` by /v1/linkedin/profile. Optional, and a pure optimisation: pass it ALONGSIDE `url` (which stays required) and this call skips the internal handle lookup, so it answers faster and consumes half the upstream rate-limit budget. Verified on the deployed API 05/09/2026. To address a member by URN alone, send the URN-form profile URL as `url`, for example https://www.linkedin.com/in/ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc: it resolves to the same member as the public address (verified 20/10/2026 on profile/posts and profile/comments) and holds only ASCII, which helps when the public address carries an emoji or other symbol. |
응답 예시
LinkedIn 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": "linkedin",
"endpoint": "/v1/linkedin/profile/comments",
"data": {
"items": [
{
"urn": "user_e1d58d",
"comment": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"created_at": "2026-10-01T20:26:09.831Z",
"activity": {
"num_likes": 7,
"num_comments": 1,
"num_shares": null,
"reaction_counts": [
{
"count": 6,
"type": "LIKE"
},
{
"count": 1,
"type": "APPRECIATION"
}
]
},
"post": {
"id": "7511054514007736320",
"post_type": "ugc",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"content": {
"images": null,
"video": {
"thumbnail": [
{
"width": 360,
"height": 640,
"url": "https://example.com/redacted",
"expires_at": 1791561600000
},
{
"width": 720,
"height": 1280,
"url": "https://example.com/redacted",
"expires_at": 1791561600000
}
],
"duration": "Sample comment text (redacted).",
"aspect_ratio": "Sample comment text (redacted).",
"streams": [
{
"url": "https://example.com/redacted",
"expires_at": 1791561600000,
"size": 0,
"width": 720,
"height": 1280,
"bit_rate": 515954
},
{
"url": "https://example.com/redacted",
"expires_at": 1791561600000,
"size": 0,
"width": 640,
"height": 1138,
"bit_rate": 387401
}
]
},
"document": null,
"article": null,
"celebration": null,
"poll": null,
"event": null
},
"activity": {
"num_likes": 187,
"num_comments": 9,
"num_shares": 26,
"reaction_counts": [
{
"count": 156,
"type": "LIKE"
},
{
"count": 14,
"type": "EMPATHY"
}
]
},
"author": {
"id": "user_0693ab",
"urn": "user_0aed2a",
"url": "https://example.com/user_33d481",
"public_identifier": "user_c1c344",
"avatar": [
{
"width": 100,
"height": 100,
"url": "https://example.com/user_b5136c",
"expires_at": 1792627200000
},
{
"width": 200,
"height": 200,
"url": "https://example.com/user_9d37db",
"expires_at": 1792627200000
}
],
"first_name": "user_a6b54c",
"last_name": "user_3fae11",
"full_name": "user_e5bc9f",
"description": "Sample comment text (redacted).",
"account_type": "user"
},
"created_at": "2026-09-30T15:47:58.832Z",
"url": "https://example.com/redacted",
"share_urn": "user_2c66ac"
},
"is_edited": false
},
{
"urn": "user_9d1a5b",
"comment": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"created_at": "2026-09-25T22:03:41.169Z",
"activity": {
"num_likes": 110,
"num_comments": 7,
"num_shares": null,
"reaction_counts": [
{
"count": 103,
"type": "LIKE"
},
{
"count": 4,
"type": "PRAISE"
}
]
},
"post": {
"id": "7508911500368068609",
"post_type": "ugc",
"text": "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).",
"content": {
"images": null,
"video": {
"thumbnail": [
{
"width": 1564,
"height": 720,
"url": "https://example.com/redacted",
"expires_at": 1791561600000
},
{
"width": 782,
"height": 360,
"url": "https://example.com/redacted",
"expires_at": 1791561600000
}
],
"duration": "Sample comment text (redacted).",
"aspect_ratio": "Sample comment text (redacted).",
"streams": [
{
"url": "https://example.com/redacted",
"expires_at": 1791561600000,
"size": 0,
"width": 1564,
"height": 720,
"bit_rate": 425072
},
{
"url": "https://example.com/redacted",
"expires_at": 1791561600000,
"size": 0,
"width": 1390,
"height": 640,
"bit_rate": 310087
}
]
},
"document": null,
"article": null,
"celebration": null,
"poll": null,
"event": null
},
"activity": {
"num_likes": 443,
"num_comments": 51,
"num_shares": 31,
"reaction_counts": [
{
"count": 301,
"type": "LIKE"
},
{
"count": 73,
"type": "EMPATHY"
}
]
},
"author": {
"id": "user_598a25",
"urn": "user_a378f4",
"url": "https://example.com/user_dd0445",
"public_identifier": "user_f1e691",
"avatar": [
{
"width": 100,
"height": 100,
"url": "https://example.com/user_499581",
"expires_at": 1792627200000
},
{
"width": 200,
"height": 200,
"url": "https://example.com/user_4e6930",
"expires_at": 1792627200000
}
],
"first_name": "user_421f20",
"last_name": "user_570f39",
"full_name": "user_087cd2",
"description": "Sample comment text (redacted).",
"account_type": "user"
},
"created_at": "2026-09-25T15:47:58.832Z",
"url": "https://example.com/redacted",
"share_urn": "user_968bf7"
},
"is_edited": false
}
],
"dropped": 0
},
"credits_used": 5,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": null,
"has_more": false,
"page_size": 20
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T15:47:57.175Z",
"redacted": true
}통합 응답 구조를 보여 주는 실제 샘플이에요. 필드 값은 조회한 대상에 따라 달라져요.
API 상세
LinkedIn 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 75개 플랫폼에서 프로필, 게시물, 댓글, 분석 데이터를 수집하세요.
모든 플랫폼을 하나의 스키마로
동일한 응답 구조로 75개 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.
문의하기회원이 남긴 댓글은 어떻게 받나요?
/v1/linkedin/profile/comments에 GET 요청을 보내고 url 파라미터에 LinkedIn 프로필 URL을 넣어주세요. 회원이 다른 사람 게시물에 남긴 댓글이 본문, 작성 시점, 원본 게시물 정보와 함께 돌아와요.
댓글마다 어떤 필드를 주나요?
항목마다 댓글 본문, 작성 시점, 회원이 댓글을 단 원본 게시물 정보를 돌려드려요. 그 사람이 직접 올린 글뿐 아니라 어디에 반응하는지까지 따라가 볼 수 있어요.
회원 댓글은 한 번에 얼마나 받나요?
LinkedIn이 공개하는 창 전체를 한 번의 호출로 받아요. 이어받기 토큰이 없어서 다음 페이지가 없고, cursor나 page를 보내면 400으로 알려드려요.
LinkedIn 댓글 API 요금은 얼마인가요?
페이지당 5 크레딧(어드밴스드 티어)이에요. 한 페이지에 댓글이 몇 개 오든 과금은 같고, 신규 계정은 신용카드 없이 100 크레딧을 무료로 받아 20 페이지까지 바로 받아보실 수 있어요.
소셜 셀링에 회원 댓글을 왜 쓰나요?
잠재 고객의 댓글은 강한 관심 신호예요. 그 리드가 어떤 주제, 사람, 기업에 반응하는지 보여주거든요. 아웃리치 타이밍을 잡고, 대화의 실마리를 찾고, 이미 우리 분야에서 활동하는 어카운트를 먼저 챙길 수 있어요.
AI에게 SocialCrawl을 물어보세요
LinkedIn Profile Comments 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 LinkedIn 데이터를 받아 가세요.