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LinkedIn Company People API

Returns the members who list a company as their employer, each with handle, headline, location, profile picture, and follower count.

GET /v1/linkedin/company/people

Last updated November 2026Maintained by the SocialCrawl team

When to use the LinkedIn Company People API

Use it when you already have a company_id and want its staff; use search/people to filter across all of LinkedIn instead.

From the API reference

Returns a paginated list of members who work at a company, with handle, headline, location, and member URN. Get the company_id from /v1/linkedin/company. Each page is 10 members. On a plain call author.followers is LinkedIn's rounded display bucket, and only on the rows that show one (flagged author.ext.followers_approximate: true), and author.following is null on every row. When the primary source is momentarily rate-limited on page 1, a second source answers that page with current members of the same company in a different order and with exact follower counts (author.ext.followers_approximate: false), and data._warnings says so; page 2 onwards always comes from the primary, so a member can repeat or be missed across that boundary. Send include=profile and every row is joined, in the same call, to the member's profile lookup (/v1/linkedin/profile): author.followers becomes the exact follower count and author.ext.followers_approximate reads false on every row the lookup filled, whether the row arrived with LinkedIn's rounded bucket or with no count at all, author.following is filled with the member's connection count (on LinkedIn a member's following is the number of connections), and the location, the joined date (author.joined_at), and the country, website, cover image and profile flags on author.ext land where the row lacks them. Cost: 10 credits for the list; include=profile holds 4 credits per row and keeps only the rows filled from a fresh lookup, so a call costs at most 50; rows already in cache are free and unfilled rows are refunded. Pass limit (1 to 10) to join only the top rows: limit=3&include=profile costs at most 22. Time: the lookups run in parallel, about 1 second for 10 rows, up to 3 on a slow second, and never more than 8 seconds. The response carries a hydration block itemising rows, lookups, cache hits, credits and milliseconds.

Searching 69 platforms in parallel

·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

What can you do with the Company People API?

The Company People endpoint gives you structured LinkedIn data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

# GET /v1/linkedin/company/people: Metered: holds 10 credits per page up front and refunds what the call does not use. 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 47: 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.
# Next page: send pagination.next_cursor back as cursor until pagination.has_more is false.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 47 --retry 3 -o response.json \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  "https://www.socialcrawl.dev/v1/linkedin/company/people?company_id=1035" && cat response.json
# GET /v1/linkedin/company/people: Metered: holds 10 credits per page up front and refunds what the call does not use. 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 = 47  # this endpoint's measured p99 latency x 1.5.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/linkedin/company/people"


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 = {
    "company_id": "1035",
}

# Walk the list: send pagination.next_cursor back as cursor until has_more is false.
MAX_PAGES = 10  # each page is one call
items = []
for _ in range(MAX_PAGES):
    body = socialcrawl(params)
    if body is None:
        break
    items.extend(body["data"]["items"])
    page = body.get("pagination") or {}
    if not page.get("has_more") or not page.get("next_cursor"):
        break
    params["cursor"] = page["next_cursor"]
print(f"{len(items)} items")
// GET /v1/linkedin/company/people: Metered: holds 10 credits per page up front and refunds what the call does not use. 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 = 47_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/company/people");
url.searchParams.set("company_id", "1035");

// Walk the list: send pagination.next_cursor back as cursor until has_more is false.
const MAX_PAGES = 10; // each page is one call
const items: unknown[] = [];
for (let page = 0; page < MAX_PAGES; page++) {
  const body = await socialcrawl(url);
  if (!body) break;
  items.push(...body.data.items);
  const next = body.pagination?.next_cursor;
  if (!body.pagination?.has_more || !next) break;
  url.searchParams.set("cursor", next);
}
console.log(`${items.length} items`);

Parameters

ParameterRequiredDescription
company_idYesLinkedIn numeric company ID (from /v1/linkedin/company).
pageNoPage number for pagination (default 1).
includeNoSet to `profile` (one token only) to join every row to the member's profile lookup in this one call: `author.followers` becomes the exact count and `author.ext.followers_approximate` reads false on every row the lookup filled, `author.following` is filled with the member's connection count, and the location, joined date, country, website, cover image and profile flags land where the row lacks them. Holds 4 credits per row and keeps only the rows filled from a fresh lookup; rows already in cache and rows that could not be filled are refunded, so a call costs at most 50 (10 + 4 per row) and the usual bill is lower. Adds about 1 second for 10 rows, up to 3 on a slow second and never more than 8, and nothing when the members are already cached; read `data.hydration` for the rows, the credits held and kept, and the time. (profile)
limitNoTake the top N rows of this page (1 to 10). With `include=profile` it caps both the rows joined and the extra credits: `limit=3&include=profile` costs at most 22. The page cursor still advances past the full page of 10, so the rows past your limit are skipped, not carried to the next page. Without `include=profile` the call stays 10 credits.
max_pagesNo1 to 50 (default 1, or 50 when `max_items` or `max_credits` is sent). Walk up to this many pages in one call and return the rows from all of them. Each page walked is billed exactly as one call to this endpoint (a cached page is free) and counts against your rate limit; its charge and any refund are recorded under the page's own request id, listed in `data.walk.request_ids`. The walk stops early at the last page, or when the request's time budget runs low; `data.walk.stopped` says why (`end`, `max_pages`, `max_items`, `max_credits`, `time_budget`, `page_error`) and `pagination.next_cursor` continues from where it stopped.
max_itemsNo1 to 5000. Get more in one call: keep walking pages until the response holds at least this many rows, then stop with `data.walk.stopped: "max_items"`. The last page is returned whole (it was billed), so `data.items` can hold up to one page more than this, and `pagination.next_cursor` resumes right after it without skipping a row. Walks up to 50 pages unless `max_pages` says fewer; each page is billed as one call (a cached page is free). Add `max_credits` to cap the spend. A long walk can stop on the time budget first (`"time_budget"`): send the returned cursor with the same params to continue.
max_creditsNo1 to 100000. The most this call may spend, across every page it walks. A page starts only while the credits already spent plus that page's price (or, when higher, the most any page of this walk has cost) still fit, so the call never goes past it; the walk then stops with `data.walk.stopped: "max_credits"` and the cursor to resume. Sent alone, it walks as far as the budget goes (up to 50 pages). A value below the price of one page is a free 400 whose `error.details.page_credits` names that price. Credits a row join (`include=`) adds are known only once a page has run, so page 1 is checked against its own price.
Example Response

What does the LinkedIn Company People 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": "tiktok",
  "endpoint": "/v1/tiktok/search/users",
  "data": {
    "items": [
      {
        "author": {
          "id": "user_0e9522",
          "username": "user_759369",
          "display_name": "user_f0b019",
          "avatar_url": "https://example.com/avatars/user_0ab01c.png",
          "bio": null,
          "verified": null,
          "followers": 4214875,
          "following": 1,
          "posts_count": 2341,
          "likes_count": 62731828,
          "url": null,
          "location": null
        }
      },
      {
        "author": {
          "id": "user_d26411",
          "username": "user_1f51ed",
          "display_name": "user_1f51ed",
          "avatar_url": "https://example.com/avatars/user_a81e65.png",
          "bio": null,
          "verified": null,
          "followers": 1780390,
          "following": 1,
          "posts_count": 995,
          "likes_count": 10060260,
          "url": null,
          "location": null
        }
      },
      {
        "author": {
          "id": "user_679d13",
          "username": "user_c5d687",
          "display_name": "user_8803ea",
          "avatar_url": "https://example.com/avatars/user_67de4c.png",
          "bio": null,
          "verified": null,
          "followers": 338243,
          "following": 374,
          "posts_count": 464,
          "likes_count": 2140124,
          "url": null,
          "location": null
        }
      }
    ],
    "next_cursor": "30",
    "total": 30,
    "dropped": 0
  },
  "credits_used": 1,
  "credits_remaining": 9999,
  "request_id": "req-8Kq2ZmR4vT9xLb3P",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoiMzAiLCJwIjoiY3Vyc29yIn0",
    "has_more": true,
    "page_size": 30
  },
  "redacted": true
}

Example captured from the TikTok API. Every SocialCrawl endpoint returns this same unified schema, so your LinkedIn Company People response has the same fields.

API Details

How does the LinkedIn Company People 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

Why SocialCrawl

Why use SocialCrawl for LinkedIn Company People data?

We handle the complexity of LinkedIn data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 69 platforms covering 10B+ monthly active users.

One schema, every platform

Query 69 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()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 69 platforms
FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

Contact us
How do I list the people who work at a LinkedIn company?
Send a GET request to /v1/linkedin/company/people with a numeric company_id in the company_id parameter. The response returns a paginated list of members who work at that company, each with handle, headline, location, and member URN.
What fields come back for each employee?
Each member entry includes the profile handle, current headline (role and company), location, and the LinkedIn member URN. Add include=profile and every row is joined to that member's profile in the same call, which fills the exact follower and connection counts plus location, joined date, country, website, cover image, and the creator, influencer, open to work, hiring, top voice and premium flags.
Can I get follower counts for a company's employees?
Yes. Pass include=profile and each member row carries the exact follower count rather than the rounded bucket LinkedIn publishes on a list, with author.following holding that member's connection count. Rows the list returned with no count at all are filled the same way.
How do I paginate through a company's employee list?
Add the optional page query parameter (integer) to walk deeper into the member list. Start at page 1 and increment until the response returns an empty list, which marks the end of the available members.
How much does the company people endpoint cost?
A plain page costs 10 credits on the premium tier, regardless of how many members come back. With include=profile the page costs 10 credits plus four credits per row filled, never more than 50 credits. Cached rows are free, unfilled rows are refunded, and limit (1 to 10) caps both the rows and the credits.
Where do I get the company_id this endpoint needs?
The numeric company_id comes from /v1/linkedin/company: pass a company page URL there and read the id field from the response. Reuse that id here and across the other company/* endpoints for jobs, insights, and affiliated pages.
Can I use this for talent intelligence or recruiting?
Yes, mapping the members at a company is a common recruiting and talent-intelligence use case. Pull the roster to size a team, source candidates by headline, or track hiring at target accounts, and add include=profile so the member detail arrives with the roster instead of one lookup per row.

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