LinkedIn Company Scraper API - Exact Employees, Followers

The LinkedIn suite

• LinkedIn Scraper API — every public LinkedIn surface in one dataset
• LinkedIn Jobs Search Scraper API — keyword and location searches with filters re-checked on the posting
• LinkedIn Job Details Scraper API — job links or ids in, the full posting out
• LinkedIn Company Posts Scraper API — the newest posts on a company page with exact reaction and comment counts
• LinkedIn Post Scraper API — post share links in, the full post and its visible comments out
• LinkedIn Pulse Article Scraper API — Pulse article links in, full text and exact engagement out
• LinkedIn Company Jobs Scraper API — company pages in, their open jobs out, id resolved for you
• LinkedIn New Jobs Scraper API — put a search on a daily schedule and pay only for postings you have not seen
• LinkedIn Profile Scraper API — public profiles with experience, education and exact follower counts — about 7 in 10 are shown, the rest are free
• LinkedIn Profile Posts Scraper API — a person's recent public posts, each read in full with exact counts

Turn LinkedIn company slugs or URLs into company records with exact member and follower counts, every office, and the numeric company id. No login, no cookies, no proxy to configure — it reads the pages LinkedIn shows to anyone. Failures are free: a closed job, a missing page or a page only members can see costs nothing and returns a row saying which.

Exact numbers, not display numbers. LinkedIn's page says "3M followers" or "10,001+ employees"; the rows carry 2,789,187 and 232,762.

Quick start

1. Press Start — the defaults are a working run.
2. Replace them with your own company slugs or URLs (microsoft, https://www.linkedin.com/company/apify/ and showcase links all work).
3. Take the dataset as JSON, CSV or Excel, or via the API. Every row has a type; the free coverage row says what was asked for and what arrived.

What people use it for

• Account research and TAM sizing. Exact member and follower counts, every office, industry, size band and founding year for a list of company slugs.
• CRM enrichment. Feed in the LinkedIn URLs you already hold and get back the numeric company id, website, headquarters and specialties.
• Feeding an AI agent or workflow. One flat schema, a type on every row, and a free coverage row that says what was asked for and what arrived.

What the rows look like

A company row

{
  "type": "company",
  "id": "microsoft",
  "numericId": 1035,
  "name": "Microsoft",
  "industry": "Software Development",
  "companySize": "10,001+ employees",
  "employeesOnLinkedIn": 232762,
  "followers": 29007369,
  "headquarters": "Redmond, Washington",
  "organizationType": "Public Company",
  "website": "https://news.microsoft.com/",
  "specialties": ["Business Software", "Developer Tools", "Home & Educational Software", "..."],
  "address": { "street": "1 Microsoft Way", "locality": "Redmond", "region": "Washington", "postalCode": "98052", "country": "US" },
  "locations": [{ "primary": true, "street": "1 Microsoft Way", "cityLine": "Redmond, Washington 98052, US" }, "... 44 more"],
  "affiliatedPages": [{ "name": "GitHub", "industry": "Software Development", "location": "San Francisco, CA", "url": "https://www.linkedin.com/company/github" }, "..."],
  "recentPosts": [{ "activityId": "7500677397822775296", "url": "https://www.linkedin.com/posts/microsoft_..." }, "..."]
}

employeesOnLinkedIn is the exact number of members who list the company, which is what LinkedIn actually counts; companySize is the band the company chose. Both are given so you are never guessing which one you are looking at.

What it costs

You pay for	Price
Each company page delivered	$4.00 per 1,000 companies

Free, always: a job that has closed, a company, post or article that does not exist, a page LinkedIn only shows to signed-in members, a malformed URL, every error row, the coverage row and the run summary. A run that reads nothing costs nothing.

Set Cost ceiling (USD) to stop any run before it passes a number you choose; the free summary row reports what the run actually spent.

FAQ

Do I need a LinkedIn login, cookies or a proxy?

No. This Actor reads the pages LinkedIn shows to anyone without an account, and it never signs in, never sends a cookie and never uses a session. Everything is handled for you and there is nothing to buy on top. Measured 2026-09-02: a full default run read 25 pages from an ordinary IP with no proxy traffic at all.

Which employee number is right?

Both are given. employeesOnLinkedIn is the exact number of LinkedIn members who list the company as their employer; companySize is the band the company set on its page ("10,001+ employees"). Neither is the payroll headcount, and the row says which is which.

What happens to a job that closed or a page that does not exist?

It costs nothing. You get a free error row that says which (closed, not found, or only visible to members), and the run keeps going.

Does a run fail if everything I asked for is gone?

No. "All of these have closed" is a correct answer, not a failure, so the run succeeds and returns free rows explaining each one. Only LinkedIn actually refusing us fails a run.

Can I put this on a schedule without paying twice for the same data?

Yes. Turn Monitor on. A company, post or article whose numbers have not moved is a free row marked unchanged.

Will I be charged twice if the same thing appears twice in my input?

No. A post reached through a share link and again from a company page, or a job returned by two searches, is one row and one charge.

Limits, stated plainly

LinkedIn shows its search results (people, companies, content), employee lists, reaction lists and Sales Navigator only to signed-in members, and serves member profiles to visitors only at its own discretion (measured 2026-09-02 from Apify's own exits: 35 of 50 ordinary profiles, and the refused ones stay refused). This Actor reads public pages only and never signs in, so it sells none of those — and says so here rather than on your invoice.

Use it from n8n, MCP, the API or a schedule

Built to be called by a workflow, not only from the Store form. The Actor is vonsensey/linkedin-company-scraper-api; every snippet below sends {}, which runs the defaults shown on the form — replace it with your own input.

n8n

Install the Apify community node (@apify/n8n-nodes-apify under Settings → Community Nodes, or search "Apify" on n8n Cloud). Add Apify → Run Actor with Actor vonsensey/linkedin-company-scraper-api and your input JSON, then Apify → Get Dataset Items on the run's defaultDatasetId and pipe the rows anywhere. For scheduled runs, the On new Apify Event trigger fires when a run of this Actor finishes.

MCP (Claude, Cursor, VS Code, any MCP client)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vonsensey/linkedin-company-scraper-api",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Your agent then calls vonsensey/linkedin-company-scraper-api as a tool with the same input the form takes and reads the dataset back.

REST API (one call, rows in the response)

curl -X POST "https://api.apify.com/v2/acts/vonsensey~linkedin-company-scraper-api/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" -d '{}'

Python

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("vonsensey/linkedin-company-scraper-api").call(run_input={})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('vonsensey/linkedin-company-scraper-api').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Make, Zapier, LangChain, CrewAI

The Apify app in Make and Zapier has a Run an Actor module: pick vonsensey/linkedin-company-scraper-api. In LangChain and CrewAI the Apify tool wrappers take the same Actor id. A daily schedule needs nothing but the Console: Schedules → Create → this Actor → cron, and the dataset fills on its own.