Pricing

Pay per event

LinkedIn Company Scraper

Extract company data from LinkedIn company pages — name, website, industry, size, employee count, follower count, headquarters, founded year, specialties, and logo. No login or proxy needed. Pure HTTP, 256 MB, $0.003/company.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Stas Persiianenko

Actor stats

Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Categories

Social media

Lead generation

Business

You can access the LinkedIn Company Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "companyUrls": [
10        "google",
11        "microsoft",
12        "stripe",
13    ],
14    "maxCompanies": 10,
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("automation-lab/linkedin-company-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LinkedIn Company Scraper — Business Profiles and Data API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Company Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

LinkedIn Company Scraper API in JavaScript

LinkedIn Company Scraper API through CLI

LinkedIn Company Scraper OpenAPI definition

LinkedIn Company Scraper API

Linkedin-company-detail-scraper

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Scrape LinkedIn company pages without login. Extract company name, industry, headquarters, size, founded year, type, specialties, website, description, follower count, employee count, recent posts, and logo. Google search fallback for company discovery by name or industry.

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Linkedin Company About Scraper

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🏢 LinkedIn Company About Scraper extracts detailed company info from LinkedIn About pages — including website, industry, size, headquarters, followers & description. 🚀 Ideal for B2B research, sales, or recruitment. Export clean data in JSON, CSV, or Excel via Apify API or Python!

Scraper Engine

111

5.0

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Github Users Scraper is an Apify actor for extracting users or emails from Github. It allows you to extract all watchers, stargazers, and members from a repository page.

Tin

269

4.0

🚀Company Details Scraper

tech_gear/company-details-scraper

✅Extract detailed company data.✅Access organizational structure, technologies, employees, funding events, and more.✅Get comprehensive insights all in one place.

Tech Gear

196

5.0

Linkedin Company Details Scraper (No Cookies) ✅ Bulk

harvestapi/linkedin-company

Extract detailed information from LinkedIn Companies such as company name, address, phone numbers, website, employee count, and more. Find LinkedIn company URLs by name in Bulk. No cookies or account required.

HarvestAPI

4.2K

4.4

LinkedIn Company Scraper

simpleapi/linkedin-company-scraper-actor

LinkedIn Company Scraper extracts detailed data from LinkedIn company pages, including overview, industry, size, headquarters, specialties, website, founded year, posts, and employee insights. Ideal for market research, lead generationand automating structured company data collection.

SimpleAPI

Linkedin Company Profile Scraper

scrapelabsapi/linkedin-company-profile-scraper

LinkedIn Company Profile Scraper extracts public data from LinkedIn company pages. It collects company name, industry, employee size, headquarters, website, follower count, and descriptions. Ideal for B2B prospecting, competitor research, market intelligence, and lead generation workflows.

ScrapeLabs