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LinkedIn Profile Reactions API

LinkedIn 회원이 반응을 남긴 게시물을 반환합니다. 게시물 본문과 원 작성자, 좋아요·댓글·공유 수, 날짜가 나옵니다.

GET /v1/linkedin/profile/reactions

2026년 11월 업데이트SocialCrawl 팀이 직접 관리해요

LinkedIn Profile Reactions API는 언제 쓰나요

그 사람이 무엇에 반응하는지 볼 때 사용하세요. 직접 발행한 글은 profile/posts가 돌려줍니다.

API 레퍼런스 영문 원문

List posts a LinkedIn member reacted to, normalised to the SocialCrawl schema, as one fixed window of up to 20. Each row also says when the member reacted (post.ext.reacted_at, ISO 8601), which reaction activity it was (post.ext.reaction_activity_id) and the reaction as LinkedIn's code such as LIKE or PRAISE (post.ext.reaction, beside LinkedIn's rendered sentence in post.ext.reaction_type; null on a reaction to a comment and on a sentence that is not in English). When the primary source is unavailable or slow, a backup source answers with the member's reactions to posts only, without reactions to comments, and post.ext.reaction_type is null on its rows; data._warnings says so.

75개 플랫폼을 병렬로 검색합니다

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
LinkedIn API

Profile Reactions API로 무엇을 할 수 있을까요

Profile Reactions 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/reactions: 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 60: the API's own time limit for this endpoint.
# --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 60 --retry 3 -o response.json \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  "https://www.socialcrawl.dev/v1/linkedin/profile/reactions?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fwilliamhgates%2F" && cat response.json
# GET /v1/linkedin/profile/reactions: 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 = 60  # the API's own time limit for this endpoint.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/linkedin/profile/reactions"


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/reactions: 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 = 60_000; // the API's own time limit for this endpoint.
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/reactions");
url.searchParams.set("url", "https://www.linkedin.com/in/williamhgates/");

const body = await socialcrawl(url);
if (body) console.log(body.data);

파라미터

파라미터필수설명
url예Full URL of the LinkedIn profile, company, or post.
urn아니오The 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.
since아니오Only 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`.
until아니오Only 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

LinkedIn Profile Reactions 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/reactions",
  "data": {
    "items": [
      {
        "post": {
          "id": "7520763761922744320",
          "url": "https://www.linkedin.com/feed/update/urn:li:activity:7521763026652368896",
          "content": {
            "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).",
            "media_urls": [
              "https://media.licdn.com/dms/image/v2/D4E22AQFBvS1CHMQQXQ/feedshare-image-high-res/B4EaF6bBF6I4AU-/0/1793055266051?e=1795046400&v=beta&t=FStumVAF7OAY47rpKlvg6-PdtliNetKC7QGvAstpzYU"
            ],
            "thumbnail_url": null,
            "duration_seconds": null
          },
          "author": {
            "username": "user_517da7",
            "display_name": "user_4b3f29",
            "avatar_url": "https://example.com/avatars/user_43778b.png",
            "verified": null
          },
          "engagement": {
            "views": null,
            "likes": 166,
            "comments": 11,
            "shares": 2,
            "saves": null
          },
          "flags": {
            "nsfw": null,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-10-28T00:00:00.000Z",
          "ext": {
            "author_id": "99000015319672",
            "author_url": "https://example.com/user_b96d2d",
            "hashtags": null,
            "mentions": null,
            "reaction_counts": [
              {
                "count": 145,
                "type": "LIKE"
              },
              {
                "count": 11,
                "type": "PRAISE"
              }
            ],
            "share_urn": "urn:li:share:7520618877542780928",
            "post_type": "activity",
            "published_at_precision": null,
            "author_urn": "user_0c640d",
            "author_headline": "Consultant Obstetrician & Gynaecologist | Reproductive Medicine & Fertility | Corporate speaker | Helping women understand their bodies to thrive professionally and personally | Tackling healthcare inequalities",
            "author_type": "user",
            "is_repost_quote": null,
            "reaction_type": "Bill Gates likes this"
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "en",
          "content_category": "other",
          "estimated_reach": null
        }
      },
      {
        "post": {
          "id": "7519806026121052160",
          "url": "https://www.linkedin.com/feed/update/urn:li:activity:7521762974101938176",
          "content": {
            "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).",
            "media_urls": [
              "https://media.licdn.com/dms/image/v2/D4E22AQGjVCDCrl99zQ/feedshare-image-high-res/B4EaFu3uu6G8AU-/0/1792861466617?e=1795046400&v=beta&t=UoCnVBl-YuvBlQWHVD5eFgDHVonTkDtT_dT-iRtGkh4",
              "https://media.licdn.com/dms/image/v2/D4E22AQGPgxM-uTjvLQ/feedshare-image-high-res/B4EaFu3uE4IYAU-/0/1792861463888?e=1795046400&v=beta&t=vk9WytR7fYsd5_d3YsdXMGGtnaey1nDfdnD0ejHk-MI"
            ],
            "thumbnail_url": null,
            "duration_seconds": null
          },
          "author": {
            "username": "user_cc5762",
            "display_name": "user_5f70df",
            "avatar_url": "https://example.com/avatars/user_fca73d.png",
            "verified": null
          },
          "engagement": {
            "views": null,
            "likes": 133,
            "comments": 7,
            "shares": 1,
            "saves": null
          },
          "flags": {
            "nsfw": null,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-10-26T00:00:00.000Z",
          "ext": {
            "author_id": "99000000585692",
            "author_url": "https://example.com/user_b41693",
            "hashtags": null,
            "mentions": null,
            "reaction_counts": [
              {
                "count": 113,
                "type": "LIKE"
              },
              {
                "count": 12,
                "type": "PRAISE"
              }
            ],
            "share_urn": "urn:li:ugcPost:7519806026121052160",
            "post_type": "ugc",
            "published_at_precision": null,
            "author_urn": "user_ba5efe",
            "author_headline": "Honorary Professor & Consultant in Paediatric Emergency Medicine at University Hospital of Leicester NHS Trust",
            "author_type": "user",
            "is_repost_quote": null,
            "reaction_type": "Bill Gates likes this"
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "en",
          "content_category": "education",
          "estimated_reach": null
        }
      }
    ],
    "total": null,
    "dropped": 0
  },
  "credits_used": 5,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": null,
    "has_more": false,
    "page_size": 20,
    "typical_page_size": null,
    "next_page_credits": null
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-11-02T01:00:20.468Z",
  "redacted": true
}

통합 응답 구조를 보여 주는 실제 샘플이에요. 필드 값은 조회한 대상에 따라 달라져요.

API 상세

LinkedIn Profile Reactions API는 어떻게 동작하나요

API 키와 함께 GET 요청을 보내면, 통합 스키마와 계산 필드를 담은 깔끔한 JSON이 돌아와요.

메서드

GET

응답 형식

JSON

왜 SocialCrawl인가요

LinkedIn Profile Reactions 데이터는 왜 SocialCrawl로 가져올까요

LinkedIn 데이터 추출에서 까다로운 부분은 SocialCrawl이 가려 드려요. 통합 스키마, AI 인리치먼트, 그리고 코드에 남지 않는 플랫폼 로직까지.

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"
    }
  }
}
+ 75개 플랫폼
자주 묻는 질문

자주 묻는 질문

API, 요금제, 기능에 대한 질문과 답변입니다.

문의하기
LinkedIn 프로필 반응 API는 무엇을 돌려주나요?
프로필 URL로 그 회원이 반응을 남긴 게시물 피드를 돌려드려요. 각 항목에는 반응 타입(좋아요·축하·응원·사랑·인사이트·재미), 원 게시물 작성자, 본문, 참여 수치가 함께 담겨요.
이 엔드포인트는 어떻게 호출하나요?
/v1/linkedin/profile/reactions에 GET 요청을 보내고 url 파라미터에 회원 프로필 URL을 넣어주세요. 반응한 게시물이 통합 스키마의 피드로 한 번에 돌아와요.
반응한 게시물은 한 번에 얼마나 받나요?
LinkedIn이 공개하는 창 전체를 한 번의 호출로 받아요. 이어받기 토큰이 없어서 다음 페이지가 없고, cursor나 page를 보내면 400으로 알려드려요.
이 엔드포인트 요금은 얼마인가요?
페이지당 5 크레딧(어드밴스드)이에요. 반응이 몇 개 오든 과금은 같고, 신규 계정은 100 크레딧을 무료로 받아 20페이지까지 받아볼 수 있어요.
소셜 리스닝이나 인텐트 신호로 쓸 수 있나요?
네, 어떤 사람이 반응한 게시물은 그 사람의 관심사와 구매 신호를 드러내요. 그래서 세일즈나 소셜 리스닝 팀이 따뜻한 리드와 잠재고객이 관심 두는 주제를 찾는 데 이 피드를 활용해요.
게시물 반응 엔드포인트와는 무엇이 다른가요?
이 엔드포인트는 프로필 URL로 그 회원이 반응한 게시물을 나열해요. /v1/linkedin/post/reactions는 반대로 특정 게시물에 반응한 사람들을 나열해요.

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