LinkedIn Profile All API
API 한 번의 호출로 LinkedIn Profile All 데이터를 받아 가세요. Returns a LinkedIn member's ENTIRE public profile in a single call, every section LinkedIn publishes. This is the lane for a one-call profile audit, and it replaces stacking `/profile`, `/profile/complete`, `/profile/stats`, the five `/profile/interests/*` lanes and `/profile/similar`. `author` is the same Author object `/v1/linkedin/profile` returns, with `followers` and `following` filled, plus `verified`, `joined_at`, `ext.website`, `ext.is_influencer`, `ext.is_open_to_work`, `ext.is_hiring`, `ext.is_memorialized` and `ext.cover_url`; `verified` is null on every other LinkedIn lane and real here. `background` holds `summary` (the About text), `experiences`, `educations`, `skills`, `recommendations` (received), `current_position`, `top_education`, `certifications`, `honors`, `languages`, `projects`, `publications`, `volunteering`, `courses`, `patents`, `organizations`, `causes`, `top_skills`, `featured`, `interests` and `services`. `background.interests` is bucketed into `top_voices`, `companies`, `groups`, `schools` and `newsletters`, the same five tabs the `/v1/linkedin/profile/interests/*` lanes sell separately. `similar_profiles` is LinkedIn's People-also-viewed rail, up to 20 members, which `/v1/linkedin/profile/similar` sells separately. `background.experiences[]` carries the skills tagged on each role, and `background.skills[]` carries `endorsements` plus `endorsement_notes`, none of which `/profile/complete` returns. THREE THINGS TO READ CAREFULLY. `section_totals` gives LinkedIn's own count for each section and it can EXCEED the array beside it, because long sections are truncated at source; trust `section_totals` for a count, never `background.<section>.length`. `author.ext.followers_approximate` is true when this source reported a rounded follower count instead of an exact one, which it does on large accounts; `/v1/linkedin/profile` returns the exact integer. `background.skills[].endorsements_is_floor` is true when LinkedIn published a \"99+\" style label instead of a number, so the count is a minimum. `background.services` is returned on this lane only, is passed through in the source's own shape, and is null for a member who publishes no services page, which is most members. `background.given_recommendations` is NOT returned: this source carries only what the member received, and an empty array would read as \"none given\"; use `/v1/linkedin/profile/complete` for those. Every top-level key of the original record is kept unchanged for compatibility.
2026년 9월 업데이트SocialCrawl 팀이 직접 관리해요
회원의 공개 프로필 전체를 한 번의 호출로 반환합니다. `author`에 팔로워 수와 인맥 수가 채워지고, `background`에는 소개 요약과 경력, 학력, 보유 기술, 추천서, 자격증, 수상, 언어, Featured, 관심사가 담깁니다.
프로필 감사를 한 번에 끝낼 때 사용하세요. profile, profile/complete, profile/stats, 관심사 5개 레인, profile/similar를 겹쳐 부르지 않아도 됩니다.
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 SearchProfile All API로 무엇을 할 수 있을까요
Profile All 엔드포인트가 통합 스키마와 계산 필드를 담은 LinkedIn 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/linkedin/profile/all?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fwilliamhgates%2F&urls=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fwilliamhgates%2Chttps%3A%2F%2Fwww.linkedin.com%2Fin%2Fjeffweiner08"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/linkedin/profile/all",
params={
'url': 'https://www.linkedin.com/in/williamhgates/',
'urls': 'https://www.linkedin.com/in/williamhgates,https://www.linkedin.com/in/jeffweiner08',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/linkedin/profile/all?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fwilliamhgates%2F&urls=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fwilliamhgates%2Chttps%3A%2F%2Fwww.linkedin.com%2Fin%2Fjeffweiner08",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| url | 아니오 | Full URL of the LinkedIn profile. |
| urls | 아니오 | Up to 10 full LinkedIn profile URLs in one call, comma separated. The response becomes `{items, total}` instead of a single profile. Billed 5 credits per profile RETURNED, the same rate as a single call: duplicates are collapsed before the call and profiles that do not resolve are not charged, so a list with repeats or dead handles costs less than its length. A list where nothing resolves is a free 404. |
LinkedIn Profile All 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, LinkedIn Profile All 응답도 같은 필드로 구성돼요.
LinkedIn Profile All 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"
}
}
}LinkedIn Profile All 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 LinkedIn 데이터를 받아 가세요.