LinkedIn Company Scraper

hipersoft/linkedin-company-scraper

Scrape public LinkedIn company data in bulk: name, tagline, description, industry, company size, employee count, followers, website, headquarters, specialties and address. Just pass company names or LinkedIn URLs. One row per company as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per company scraped

$0.004

Last rebuilt

Oct 26, 2026

Overview

Pull public LinkedIn company data in bulk with the LinkedIn Company Scraper. Pass a list of company names or LinkedIn URLs and export each one's name, tagline, description, industry, company size, employee count, followers, website, headquarters, specialties and address — one clean row per company as JSON, CSV or Excel.

Built for B2B lead generation, sales intelligence, market research, CRM enrichment and competitive analysis, it turns a list of company names into a structured firmographic dataset.

What it does

🏢 Firmographics — company name, tagline, long description, industry and specialties.
👥 Size signals — company-size band, exact employee count and follower count.
🌐 Contact & location — website, headquarters and full address (street, city, region, country).
🖼️ Branding — company logo and LinkedIn page URL.
🔗 Flexible input — accepts plain names/slugs (microsoft) or full LinkedIn company URLs.
📤 Export anywhere — JSON, CSV or Excel, or straight into a CRM, sheet or dashboard.

Example output

{
  "name": "Stripe",
  "industry": "Technology, Information and Internet",
  "companySize": "5,001-10,000 employees",
  "employeeCount": 16657,
  "followers": 1717202,
  "headquarters": "South San Francisco, California",
  "website": "https://stripe.com",
  "city": "South San Francisco",
  "region": "California",
  "country": "US",
  "url": "https://www.linkedin.com/company/stripe"
}

How to use it

Add a list of companies — names, slugs or LinkedIn company URLs.
Set Max companies if you want a cap.
Run, and download the results as JSON, CSV or Excel.

Input fields

Field	Description
Companies	Company names, slugs or LinkedIn company URLs.
Max companies	Maximum companies to process (0 = no limit).

Output fields

slug, found, name, tagline, description, url, website, industry, companySize, employeeCount, followers, headquarters, founded, specialties, streetAddress, city, region, postalCode, country, logo.

Popular use cases

B2B lead generation — enrich a target-account list with firmographics.
Sales intelligence — size up prospects by industry, headcount and location.
CRM enrichment — fill in industry, size, website and HQ for existing accounts.
Market research — profile companies across an industry or region.
Competitive analysis — compare size, followers and specialties across competitors.

FAQ

Do I need an account or key? No. Add company names or URLs and run — only public company page data is collected.

What can I pass as input? A plain company name/slug (microsoft), or a full LinkedIn company URL — both work.

What company data is returned? Public firmographics: name, tagline, description, industry, size band, employee and follower counts, website, headquarters, specialties and address.

Can I export to Excel or Google Sheets? Yes — results download as JSON, CSV or Excel and integrate with CRMs, Sheets and dashboards.

How many companies can I process? As many as you like — the scraper processes your whole list; set Max companies to cap it.

Structured public LinkedIn company data — industry, size, employees, followers, website and HQ — clean and export-ready for B2B lead generation and research.

Input

Field	Type	Description
`companies` Companies	array	Company names, slugs or LinkedIn company URLs — e.g. 'microsoft', 'stripe', or 'https://www.linkedin.com/company/google/'. Each is looked up individually.
`maxItems` Max companies	integer	Maximum number of companies to process (0 = no limit). Default: `0`

API

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

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/linkedin-company-scraper").call(run_input={
    "companies": [
        "microsoft",
        "stripe"
    ]
})

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

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/linkedin-company-scraper').call({
  "companies": [
    "microsoft",
    "stripe"
  ]
});

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

Pricing

Event	Price	Paid plans from
Company scraped Charged for each LinkedIn company returned.	$0.004	$0.002

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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