LinkedIn Company Scraper

Extracts structured company data from LinkedIn company pages — name, description, industry, employee count, company size, headquarters, founding year, specialties, website, logo, affiliated and similar companies, and stock information where listed.

Run on Apify1,765 userson Apify, measured 2026-08-24

What it extracts

Every field below comes from the Actor’s published dataset schema.

Field	Description	Type
`name`	Company Name	text
`url`	LinkedIn URL	link
`logo`	Logo	image
`website`	Website	link
`numberOfEmployees`	Employees	number
`followersCount`	Followers	number
`description`	Description	text
`headquarters`	Headquarters	text
`affiliatedPages`	Affiliated Pages	array
`similarPages`	Similar Pages	array

Input parameters

Generated from the Actor’s input schema — the same fields the Apify console shows.

Parameter	Type	Required	Description
`companyUrls`	array	Required	LinkedIn company page URLs to scrape (e.g. https://www.linkedin.com/company/microsoft/)
`proxyConfiguration`	object	Optional	Select proxies to be used by the scraper. Residential proxies recommended.

API access

Run this Actor from your own code over the Apify API.

Inputjson

{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft/"
  ]
}

REST — run and get resultsbash

curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~linkedin-company-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companyUrls":["https://www.linkedin.com/company/microsoft/"]}'

JavaScript — apify-clientjavascript

import { ApifyClient } from 'apify-client'

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' })

const run = await client.actor('logical_scrapers~linkedin-company-scraper').call({
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft/"
  ]
})

const { items } = await client.dataset(run.defaultDatasetId).listItems()
console.log(items)

Python — apify-clientpython

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("logical_scrapers~linkedin-company-scraper").call(run_input={
    "companyUrls": [
        "https://www.linkedin.com/company/microsoft/",
    ],
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Runs are executed on Apify. Create an API token in your Apify account, then call the Actor over REST or with the official client for your language. The same input object works in the Apify console, so you can test interactively before automating.

Use cases

B2B lead enrichment

Add firmographic detail — industry, size, location, website — to companies already in your CRM or outbound list.

Market and competitor research

Build a dataset of companies in a segment and compare headcount, specialties and locations across them.

Investment research

Collect company fundamentals and stock references for VC, PE or financial analysis.

Segmentation and analytics

Group existing leads or users by company size, industry or region for routing and reporting.

Pricing

Pay per event — you are charged for each successfully scraped result item.

Current rates are published on the Apify listing and can change, so they are not duplicated here. See pricing on Apify

Reliability

99.4% run success rate

Measured across all public Goldmine Actors on Apify, 2026-08-24. This is an account-level figure, not a per-Actor benchmark — per-Actor speed and completeness benchmarks are not yet published. Source.

Limitations

What this Actor does not do, so you can tell before you run it whether it fits.

Takes LinkedIn company page URLs as input. It does not search for or discover companies — pair it with LinkedIn People Search or your own URL list.
Returns only fields LinkedIn shows publicly on the company page. Fields a company has not filled in come back empty.
Stock information is present only for publicly listed companies.
Throughput depends on the proxy configuration you select.

Frequently asked questions

Does it need a LinkedIn account or cookies?

No. It reads publicly visible company pages and does not require you to supply session cookies.

What input does it take?

An array of LinkedIn company page URLs, for example https://www.linkedin.com/company/microsoft. Both the vanity slug and numeric forms work.

How is it priced?

Pay per event — you are charged for each successfully scraped result item. Current pricing is shown on the Apify listing.

What formats can I export?

The dataset can be exported as JSON, CSV, Excel, XML or RSS from the Apify console, or read directly through the Apify API.

Used for

Workflows this Actor is part of, and the other scrapers it chains with.