Pricing

from $1.50 / 1,000 basic profiles

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LinkedIn Company Employees Scraper ✅ No Cookies 📧

Try for free

Extract all LinkedIn Company employees with filters and detailed profile information, including complete work experience, and more. No cookies or account required. This actor can try to find contact emails.

Pricing

from $1.50 / 1,000 basic profiles

Rating

4.7

(36)

Developer

HarvestAPI

Actor stats

376

Bookmarked

17K

Total users

Monthly active users

9.9 hours

Issues response

2 days ago

Last modified

Categories

Lead generation

Social media

Automation

You can access the LinkedIn Company Employees Scraper ✅ No Cookies 📧 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    "maxItems": 25,
10    "companies": ["https://www.linkedin.com/company/google"],
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("harvestapi/linkedin-company-employees").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LinkedIn Company Employees Scraper ✅ No Cookies 📧 API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Company Employees Scraper ✅ No Cookies 📧 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 Employees Scraper ✅ No Cookies 📧 API in JavaScript

LinkedIn Company Employees Scraper ✅ No Cookies 📧 API through CLI

LinkedIn Company Employees Scraper ✅ No Cookies 📧 OpenAPI definition

LinkedIn Company Employees Scraper ✅ No Cookies 📧 API

Company Employees Scraper for LinkedIn | No Cookies

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Extract LinkedIn company employees without sharing your cookies or account. Get structured data including profile details, job titles, and current positions. No login required.

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LinkedIn Company Employees Scraper extracts employee lists from LinkedIn company pages, including names, roles, locations, experience, and profile URLs. Ideal for recruiting, lead generation, market research, and automating structured employee data collection at scale

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Linkedin Company Employees Scraper

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🚀 LinkedIn Company Employees Scraper extracts all public employee profiles from any LinkedIn company page — including names, job titles, departments, locations & profile URLs. Ideal for lead generation, recruitment & market research. Export data in CSV, JSON, or Excel via Apify API.

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Fetch all employees from a company.

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The LinkedIn Company Employees Scraper extracts public employee data from LinkedIn company pages, including names, positions, locations, and profile links. Ideal for recruiters, analysts, and marketers to identify talent, map organizations, and support B2B lead generation efforts.

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Free Linkedin Company Finder - LinkedIn address From Any Site

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Find LinkedIn company pages for any domain name. This powerful actor searches and extracts LinkedIn company URLs for domains, supporting international LinkedIn subdomains and bulk processing. Perfect for sales teams, recruiters, and data enrichment.

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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!

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