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LinkedIn Profile Full API

LinkedIn 회사 페이지와 최근 게시물 10개, 계산된 지표를 한꺼번에 반환합니다. 조회수 기준과 팔로워 기준 참여율, 게시 주기, 최고 성과 게시물, 형식 구성이 담깁니다.

GET /v1/linkedin/profile/full

2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요

LinkedIn Profile Full API는 언제 쓰나요

company와 company/posts를 따로 부르고 참여도를 직접 계산하는 대신 한 번에 회사 현황을 받을 때 사용하세요.

API 레퍼런스 영문 원문

Fans out to the LinkedIn company profile and recent-posts endpoints in parallel and returns the unified author, the recent-post list, and computed metrics: avg_engagement_rate, avg_engagement_rate_by_followers, posting cadence (with the window it was measured over), the top post, and the format mix. avg_engagement_rate is view-based: the mean of each post's (likes + comments + shares) / views, so only posts that carry a view count contribute, and it is null when none does. avg_engagement_rate_by_followers is the mean of likes + comments per post divided by the account's follower count, over every post that carries both, so it covers posts with no view count. One call reads one page of recent posts, which on LinkedIn company is 10 posts, and computes the metrics over that page: posts can shorten the window but not lengthen it past one page, and _warnings says so when fewer posts came back than posts asked for. Pass posts_cursor back as cursor to read the next page, 5 credits a call. The profile leg is the only critical leg: if posts can't be fetched the call still returns the profile with post-dependent metrics null, and every leg's status is surfaced in legs[]. Flat 5 credits. This is a company-page composite: pass a linkedin.com/company/{slug} URL. Person /in/ URLs belong on /v1/linkedin/profile. Posts are loaded from /v1/linkedin/company/posts using the numeric company_id the profile leg returns as author.id.

69개 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 Full API로 무엇을 할 수 있을까요

Profile Full 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/full: 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 53: 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 53 --retry 3 -o response.json \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  "https://www.socialcrawl.dev/v1/linkedin/profile/full?url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft&posts=25" && cat response.json
# GET /v1/linkedin/profile/full: 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 = 53  # this endpoint's measured p99 latency x 1.5.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/linkedin/profile/full"


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/company/microsoft",
    "posts": "25",
}
body = socialcrawl(params)
if body is not None:
    print(body["data"])
// GET /v1/linkedin/profile/full: 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 = 53_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/full");
url.searchParams.set("url", "https://www.linkedin.com/company/microsoft");
url.searchParams.set("posts", "25");

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

파라미터

파라미터필수설명
url아니오Full LinkedIn company profile or page URL. One of the identity params is required.
posts아니오How many of the fetched recent posts to return and compute the metrics over (1-100, default 25). One call reads one page, which on LinkedIn company is 10 posts, so a larger value returns that page and a `_warnings` note; pass posts_cursor back as cursor for the next page.
cursor아니오Pass a prior response's posts_cursor to read the next page of posts. Each call is a separate 5-credit call whose metrics cover that page only.
include아니오CSV subset of posts,computed (default both). include=computed omits the raw posts[] array from the response to save payload. The metrics are computed from the same fetched posts either way, so they do not change.
응답 예시

LinkedIn Profile Full 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/full",
  "data": {
    "profile": {
      "id": "1035",
      "username": "microsoft",
      "display_name": "Microsoft",
      "avatar_url": "https://media.licdn.com/dms/image/v2/D560BAQH32RJQCl3dDQ/company-logo_400_400/B56ZYQ0mrGGoAc-/0/1744038948046/microsoft_logo?e=1792627200&v=beta&t=NqzcT-M4G01GGJ0WSG_kxqbOJ5GVTaeHs61vteFTnyE",
      "bio": "Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. \n\nMicrosoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.",
      "verified": true,
      "followers": 29203228,
      "following": null,
      "posts_count": null,
      "likes_count": null,
      "url": "https://www.linkedin.com/company/microsoft/",
      "location": "Redmond, WA, United States",
      "private": null,
      "joined_at": null,
      "ext": {
        "website": "https://news.microsoft.com/",
        "cover_url": "https://media.licdn.com/dms/image/v2/D4E1BAQHb1Lu8fVYoHg/company-background_10000/B4EZ8ZTXy5JIAI-/0/1782835936908/microsoft_cover?e=1791550800&v=beta&t=B-wadlZN4icH1aHXMDGC1UUNb1dHzRCdxHRrDqzR8Cw",
        "page_active": true,
        "employee_count": 231728,
        "employee_count_range": {
          "start": 10001,
          "end": null
        },
        "founded_year": null,
        "specialities": [
          "Business Software",
          "Developer Tools"
        ],
        "industries": [
          "Software Development"
        ],
        "headquarters": {
          "country": "US",
          "city": "Redmond",
          "geographic_area": "Washington",
          "line1": "[address redacted]",
          "postal_code": "98052"
        },
        "locations": [
          {
            "name": "Bratislava",
            "address": {
              "country": "SK",
              "city": "Bratislava",
              "geographic_area": null,
              "line1": "Pradiareň 1900",
              "line2": "Svätoplukova 2A",
              "postal_code": "821 08"
            },
            "lat_long": {
              "latitude": null,
              "longitude": null
            }
          },
          {
            "name": "Reading",
            "address": {
              "country": "GB",
              "city": "Reading",
              "geographic_area": "Berkshire",
              "line1": "Thames Valley Park Drive",
              "line2": null,
              "postal_code": "RG6 1WG"
            },
            "lat_long": {
              "latitude": null,
              "longitude": null
            }
          }
        ],
        "hashtags": [],
        "funding": {
          "last_funding_round": {
            "money_raised": {},
            "announced_on": {}
          }
        }
      }
    },
    "posts": [
      {
        "post": {
          "id": "7511760700042571776",
          "url": "https://www.linkedin.com/feed/update/urn:li:activity:7511760700042571776",
          "content": {
            "text": "Betrachten Sie dies als Ihr Klopfen an der Tür 👀\n\nIhre zukunftsfähigen KI-Kompetenzen beginnen hier: http://msft.it/6043alj8t",
            "media_urls": null,
            "thumbnail_url": null,
            "duration_seconds": null
          },
          "author": {
            "username": "microsoft",
            "display_name": "Microsoft",
            "avatar_url": "https://example.com/redacted",
            "verified": true
          },
          "engagement": {
            "views": null,
            "likes": 0,
            "comments": 0,
            "shares": 0,
            "saves": null
          },
          "flags": {
            "nsfw": null,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-10-02T12:15:12.655Z",
          "ext": {
            "author_id": "1035",
            "reaction_counts": [],
            "post_type": "activity",
            "published_at_precision": null,
            "author_type": "user_f168cc",
            "is_repost_quote": null,
            "reaction_type": null,
            "author_followers": 29203228
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "de",
          "content_category": "other",
          "estimated_reach": null
        }
      },
      {
        "post": {
          "id": "7511512074343104512",
          "url": "https://www.linkedin.com/feed/update/urn:li:activity:7511512074343104512",
          "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/D4E22AQGrD9tTe5XKCA/feedshare-image-high-res/B4EaD4W75qIwAU-/0/1790873159283?e=1792627200&v=beta&t=IZoNGZkQc6e-slPDPRrsDmKpb0EKKcWITbWI_hyIDn8"
            ],
            "thumbnail_url": null,
            "duration_seconds": null
          },
          "author": {
            "username": "user_101820",
            "display_name": "user_a4f98e",
            "avatar_url": "https://example.com/avatars/user_9461ee.png",
            "verified": null
          },
          "engagement": {
            "views": null,
            "likes": 568,
            "comments": 39,
            "shares": 44,
            "saves": null
          },
          "flags": {
            "nsfw": null,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-10-01T19:47:15.669Z",
          "ext": {
            "reaction_counts": [
              {
                "count": 435,
                "type": "LIKE"
              },
              {
                "count": 79,
                "type": "PRAISE"
              }
            ],
            "post_type": "activity",
            "published_at_precision": null,
            "author_urn": "user_feaf25",
            "author_headline": "user_b95fc4",
            "author_type": "user_04f899",
            "is_repost_quote": null,
            "reaction_type": null
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "en",
          "content_category": "education",
          "estimated_reach": null
        }
      }
    ],
    "computed": {
      "avg_engagement_rate": null,
      "avg_engagement_rate_by_followers": 0.000007,
      "posts_per_week": 21.29,
      "cadence_window_days": 8.2,
      "top_post": {
        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7509277171748597760",
        "engagement_total": 1326
      },
      "format_mix": {
        "text": 12,
        "image": 11,
        "video": 2
      }
    },
    "posts_cursor": null,
    "legs": [
      {
        "endpoint": "/v1/linkedin/company",
        "status": 200,
        "credits_used": 1,
        "latency_ms": 9938,
        "error": null
      },
      {
        "endpoint": "/v1/linkedin/company/posts",
        "status": 200,
        "credits_used": 1,
        "latency_ms": 4445,
        "error": null
      }
    ],
    "_warnings": [
      "computed.avg_engagement_rate is null because no post in this window carries a view count; use computed.avg_engagement_rate_by_followers, which divides likes and comments by the follower count."
    ]
  },
  "credits_used": 5,
  "request_id": "req_example000000",
  "cached": false,
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T12:42:05.870Z",
  "redacted": true
}

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

API 상세

LinkedIn Profile Full 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 Full 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 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"
    }
  }
}
+ 69개 플랫폼
자주 묻는 질문

자주 묻는 질문

API, 요금제, 기능에 대한 질문과 답변입니다.

문의하기
/v1/linkedin/profile/full 한 번 호출로 무엇을 받아보나요?
GET /v1/linkedin/profile/full 호출 한 번이면 회사 정보, 최근 게시물, 그리고 계산된 분석을 한꺼번에 받아볼 수 있어요. 평균 참여율, 게시 주기(주당 게시물 수), 참여도가 가장 높은 게시물, 포맷 구성까지 함께 와요. 이 조합을 한 엔드포인트로 받는 건 여기뿐이에요.
LinkedIn 회사 페이지와 게시물, 분석을 한 번에 받으려면요?
회사 페이지 URL을 url 파라미터에 담아 GET /v1/linkedin/profile/full을 호출하면 돼요. SocialCrawl이 회사 정보 엔드포인트와 게시물 엔드포인트를 병렬로 호출해 합쳐 드려서, 세 번 따로 부르지 않고도 회사 정보, 최근 게시물, 계산된 지표를 한 응답으로 받아볼 수 있어요. LinkedIn은 회사 페이지만 지원하고 개인 프로필 피드는 제공하지 않아요.
어떤 분석 지표를 계산해 주나요?
최근 게시물을 기준으로 네 가지를 계산해 드려요. 평균 참여율(각 게시물 참여율의 평균), 발행일 간격에서 뽑은 주당 게시물 수, 참여도 합이 가장 높은 게시물, 그리고 영상·이미지·텍스트를 세는 포맷 구성이에요. 모두 코드로 계산해서 AI 추정이 끼지 않아요.
이 엔드포인트는 요금이 얼마인가요?
게시물 개수와 상관없이 호출당 5 크레딧 정액이에요. 회사 정보가 핵심이라서, 회사 정보를 못 가져오면 호출이 실패하고 환불돼요. 게시물만 비어 있으면 회사 정보는 그대로 받고 요금은 청구돼요. 새 계정에는 신용카드 없이 100 크레딧이 무료예요.
게시물은 몇 개까지 받고 더 깊게 이어볼 수 있나요?
posts 파라미터로 1~100개(기본 25개) 범위를 정할 수 있고, 모든 계산 지표는 딱 그 범위를 기준으로 평균을 내요. 응답에 posts_cursor가 함께 오는데, 더 긴 기록이 필요하면 다음 호출에 그 값을 넘겨서 게시물 범위를 더 깊게 받아보실 수 있어요.
최근 게시물이 없는 회사는 어떻게 되나요?
회사 정보가 핵심 항목이라서 그건 항상 받아보실 수 있어요. 게시물을 못 가져오면 회사 정보와 함께 빈 게시물 배열이 오고, 게시물에 의존하는 지표는 0으로 꾸미지 않고 정직하게 null로 와요. 각 항목 상태는 legs 배열에서 확인하실 수 있어요.

AI에게 SocialCrawl을 물어보세요

LinkedIn Profile Full 데이터, 가져올 준비 되셨어요?

API 키 받고 60초 안에 LinkedIn 데이터를 받아 가세요.

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