LinkedIn Profile Full API
Scrape LinkedIn Profile Full data with one API call. 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`.
Last updated October 2026Maintained by the SocialCrawl team
Returns a LinkedIn company page, its latest 10 posts, and computed metrics together: engagement rate by views and by followers, posting cadence, top post, format mix.
Use it for a one-call company snapshot instead of calling company and company/posts and doing the engagement maths yourself.
Searching 68 platforms in parallel
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 SearchWhat can you do with the Profile Full API?
The Profile Full endpoint gives you structured LinkedIn data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/linkedin/profile/full?url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft&posts=25"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/linkedin/profile/full",
params={
'url': 'https://www.linkedin.com/company/microsoft',
'posts': '25',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/linkedin/profile/full?url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft&posts=25",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| url | No | Full LinkedIn company profile or page URL. One of the identity params is required. |
| posts | No | How 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. |
| cursor | No | Pass 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. |
| include | No | CSV 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. |
What does the LinkedIn Profile Full API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"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
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the LinkedIn Profile Full API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 68 platforms covering 10B+ monthly active users.
One schema, every platform
Query 68 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.
See your data before you code
Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.
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"
}
}
}Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usWhat does the LinkedIn Analytics API return in one call?
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What analytics does the linkedin analytics api compute?
How much does the linkedin analytics api cost per call?
How many posts can I pull and can I page deeper?
What happens if a company has no recent posts?
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