Linkedin Company Employees Scraper

Extract the people behind any company on LinkedIn — no login, no cookies, no LinkedIn account required. Drop in one or more company page URLs (or plain company names / keywords) and get back a clean, structured dataset of employee profiles: full names, headlines, locations, profile URLs, current company, profile pictures and more.

This LinkedIn company employees scraper is built for teams that need reliable, at-scale people data for lead generation, recruitment sourcing, sales prospecting, market research and B2B data enrichment — without the risk of sharing session cookies or getting an account flagged.

💬 Need a custom field, a higher volume plan, or a tailored LinkedIn data pipeline? Contact dev.scraperengine@gmail.com.

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Why use this LinkedIn employees scraper

• ✅ No cookies, no login required — nothing to expire, no account to burn.
• 🔗 Bulk-friendly input — mix full company URLs and keyword/company-name discovery in a single run.
• 👥 Per-company employee cap — pull anywhere from 1 to 10,000 employee profiles per company.
• 🌐 Built-in residential proxy support — Apify Residential (US) is enabled by default to reduce blocks.
• 📍 Geocoded locations — raw location strings are enriched into city, country and ISO country code.
• 📊 Analyst-ready output — normalized, flat fields that export straight to CSV, JSON or Excel.

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What data you get

Each employee record in your dataset contains the following fields (matching the actor's real output schema):

Field	Type	Description
company_url	string	The LinkedIn company page the employee was discovered from.
profile_url	string	Canonical public LinkedIn profile URL (/in/...).
fullname	string	Full display name of the person.
first_name	string	Parsed first name.
last_name	string	Parsed last / surname.
headline	string	LinkedIn headline / professional tagline.
public_identifier	string	The profile's public identifier (the /in/slug).
profile_picture_url	string	URL of the profile photo.
location	object	Structured location: full, city, country, country_code (ISO).
current_company	string	Detected current employer name.
companies_detected	array	All companies found on the profile (name, slug, url).
personal_website	string	First external (non-LinkedIn) website linked on the profile.
recommendations_received	array	Recommendation entries (text, author, author_url).
is_creator	boolean	Creator-mode flag.
is_influencer	boolean	Influencer flag.
is_premium	boolean	Premium account flag.
show_follower_count	boolean	Whether follower count is public.
created_timestamp	integer	Unix timestamp of when the record was scraped.
other_contact_details	object	Extra contact signals (e.g. course_links).
contact_elements	object	Nested profile metadata (identity, learning content, platform links, languages).

ℹ️ Data is limited to what LinkedIn exposes publicly. Fields that aren't present on a given public profile are returned empty.

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Key features

• Company URL & keyword discovery — paste https://www.linkedin.com/company/google or just google; the actor resolves both.
• Multi-source employee discovery — combines the company page (/people/, /about/) with public search to maximize coverage.
• Configurable volume — max_employees lets you keep runs cheap (10 profiles for a quick test) or comprehensive (thousands).
• Location enrichment / geocoding — turns messy location text into clean city + country + country code for regional segmentation.
• Automatic name parsing — splits fullname into first_name and last_name for easy mail-merge and CRM import.
• Resilient scraping — automatic retries, block detection and proxy rotation keep runs stable.
• Flexible exports — download the dataset as CSV, JSON, Excel, or HTML, or pull it via the Apify API.

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How to use it — step by step

1. Add your targets. In the Company URLs or search keywords field, enter one entry per line — either full LinkedIn company URLs (e.g. https://www.linkedin.com/company/microsoft) or plain company names / keywords.
2. Set the employee cap. Use Max employees per company (1–10,000, default 10) to control how many profiles to pull per target. Higher values = more data and longer runs.
3. Configure the proxy (optional). Leave the default Apify Residential (US) proxy on for the fewest blocks, pick another country, or turn it off to send requests directly.
4. Run the actor. Profiles stream into your dataset as they are scraped.
5. Export the results. Download as CSV / JSON / Excel from the Storage tab, or fetch programmatically through the Apify API and integrations (Make, Zapier, n8n, Google Sheets).

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Input example

{
  "urls": [
    "https://www.linkedin.com/company/google",
    "https://www.linkedin.com/company/microsoft",
    "stripe"
  ],
  "max_employees": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Input field	Required	Description
urls	✅ Yes	Array of LinkedIn company URLs and/or keywords (one per line).
max_employees	No	Max employee profiles per target (1–10,000, default 10).
proxyConfiguration	No	Proxy settings. Apify Residential (US) recommended.

Output example

{
  "company_url": "https://www.linkedin.com/company/google",
  "profile_url": "https://www.linkedin.com/in/jane-doe",
  "fullname": "Jane Doe",
  "first_name": "Jane",
  "last_name": "Doe",
  "headline": "Senior Software Engineer at Google",
  "public_identifier": "/in/jane-doe",
  "profile_picture_url": "https://media.licdn.com/dms/image/....jpg",
  "location": {
    "full": "Mountain View, California, United States",
    "city": "Mountain View",
    "country": "United States",
    "country_code": "US"
  },
  "current_company": "Google",
  "companies_detected": [
    { "name": "Google", "slug": "google", "url": "https://www.linkedin.com/company/google" }
  ],
  "personal_website": "https://janedoe.dev",
  "recommendations_received": [],
  "is_creator": false,
  "is_influencer": false,
  "is_premium": false,
  "show_follower_count": true,
  "created_timestamp": 1751328000,
  "other_contact_details": { "course_links": [] },
  "contact_elements": { "...": "profile identity, learning content, platform & language metadata" }
}

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Use cases

• Lead generation & B2B prospecting — build targeted lists of decision-makers at your ICP companies.
• Recruitment & talent sourcing — find engineers, sales reps or specialists working at competitor companies.
• Sales intelligence & account mapping — see who works where and map org structures before outreach.
• Market & competitor research — measure headcount, hiring trends and team composition across rivals.
• CRM & data enrichment — append names, headlines, locations and profile links to existing records.
• HR & workforce analytics — analyze talent distribution by location, seniority and function.

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Frequently asked questions

Do I need a LinkedIn account or cookies? No. This scraper works entirely on publicly available data — no login, no session cookies, no account risk.

Can I search by company name instead of URL? Yes. Enter a plain company name or keyword and the actor will resolve it and discover matching employee profiles.

How many employees can I scrape per company? Anywhere from 1 to 10,000 via the max_employees setting. Larger caps mean longer runs and higher cost.

What data can I export? All fields listed above, downloadable as CSV, JSON, Excel or HTML, or accessible through the Apify API.

Why should I keep the proxy enabled? LinkedIn aggressively blocks datacenter traffic. Apify Residential proxies dramatically reduce blocks and improve success rates. Running without a proxy raises the chance of failed requests.

Are emails included? The scraper extracts public contact signals (personal website, external links, course links). Direct emails are only returned when a profile exposes them publicly.

Is this compliant with LinkedIn's terms? You are responsible for using scraped public data in line with applicable laws (including GDPR/CCPA) and LinkedIn's terms. Only collect and process data you are legally allowed to use.

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