👥 LinkedIn Company Employees Mass Scraper (No Cookies, No Login, No Personal API Keys)

The most reliable, high-speed LinkedIn Company Employees Mass Scraper on Apify. Extract all LinkedIn company employees with full work history, educational qualifications, verified skills, exact locations, and deliverable business emails — without logging in, without cookies, and without risk of account suspension.

Unlike other scrapers that hit anonymous "LinkedIn Member" placeholders or require risking your personal LinkedIn credentials, this Actor extracts real, fully populated public profiles for nearly any company employee worldwide.

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🎯 Primary Focus Keywords & Use Cases

• LinkedIn Company Employees Scraper • LinkedIn Staff Scraper • Scrape LinkedIn Employees Without Login
• LinkedIn Employee Email Finder • B2B Lead Generation Scraper • LinkedIn Directory Mass Scraper
• LinkedIn Org Chart Scraper • Executive & Talent Sourcing Scraper • Company Headcount & Team Intel

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💡 What is the LinkedIn Company Employees Mass Scraper?

This Actor enables companies, recruiters, sales intelligence platforms, and market researchers to map out and scrape entire corporate rosters from LinkedIn. By operating over public discovery engines, guest endpoints, and verified DNS MX deliverability checkers, it delivers clean, ready-to-use profile datasets at scale.

🌟 Why This Actor Beats Other Scrapers:

1. Zero Login & Zero Cookies Needed: Never risk your personal or company LinkedIn accounts being banned or restricted.
2. Unmasks "LinkedIn Member" Profiles: Reaches public profiles that ordinary authenticated searches hide behind out-of-network blocks.
3. Multi-Mode Scraping: Choose between Short ($2.50/1k), Full ($7.00/1k), and Full + Email Search ($9.00/1k email add-on) based on your budget and data requirements.
4. Verified Business Email Discovery: Automatically discovers candidate corporate emails and executes real DNS MX deliverability checks so you don't waste time on bounce-backs.
5. Adaptive Billing: You are never charged for email searches on profiles that lack sufficient data or valid corporate domains.
6. Company Batch Modes: Scrape up to 10 companies simultaneously in All at once mode or process up to 1,000 companies automatically in One by one mode.
7. Pay-Per-Event (PPE) Protection: Full spending limit protection (ACTOR_MAX_TOTAL_CHARGE_USD) ensures your runs stop gracefully as soon as your budget cap is met.

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⚡ Scraper Modes & Tiered Pricing (Pay-Per-Event)

Apify offers tiered volume discounts based on your plan level (Free / Starter, Personal, Team, and Enterprise). The Actor charges programmatically per successful event retrieved:

📊 Event Pricing by Plan Tier

Event Name / Action	Event ID	Starter / Free	Personal Tier	Team Tier	Enterprise Tier	What You Receive
Scraped Employee Profile (Short Mode)	profile-short	$2.50 / 1k	$2.07 / 1k	$1.63 / 1k	$1.20 / 1k	Full name, LinkedIn profile URL, headline, current position, location, verified status, summary snippet.
Scraped Employee Profile (Full Mode)	profile-full	$7.00 / 1k	$5.67 / 1k	$4.33 / 1k	$3.00 / 1k	Everything in Short plus complete work history, education, skills, certifications, and recommendations.
Verified Business Email Search	email-search	$9.00 / 1k	$7.50 / 1k	$6.00 / 1k	$4.50 / 1k	Discovered corporate email address, DNS MX deliverability status, and confidence score.
Actor Start (Infrequent / Start Fee)	apify-actor-start	$5.00 / 1k	$4.00 / 1k	$3.00 / 1k	$2.00 / 1k	Run setup, proxy allocation, and initialization compute fee.

[!NOTE] Adaptive Cost Guarantee: If a profile does not contain enough corporate information to perform an email verification, you are not charged for the email-search event. Failed queries and empty result pages are 100% free.

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📥 Input Parameters

Parameter	Type	Required	Default	Description
companies	array	Yes	["https://www.linkedin.com/company/google"]	List of LinkedIn Company URLs (e.g., https://www.linkedin.com/company/google, https://www.linkedin.com/company/cvshealth) or Company Names ("Google", "Microsoft", "CVS Health").
profileScraperMode	string	No	"full"	Scraper depth: "short", "full", or "full_email".
batchMode	string	No	"all_at_once"	"all_at_once" (processes up to 10 companies per query) or "one_by_one" (separate query per company, up to 1,000 companies).
locations	array	No	[]	List of target locations to filter employees (e.g., ["New York", "San Francisco", "London", "California"]).
jobTitles	array	No	[]	Strict job title filters (e.g., ["Software Engineer", "Product Manager", "Staff Pharmacist"]).
searchQuery	string	No	""	General fuzzy search query or boolean operators (e.g., "Founder", "Marketing Manager", "AI Researcher").
seniorityLevelIds	array	No	[]	LinkedIn Seniority level IDs (e.g., 120 for Senior, 220 for Director, 310 for CXO).
functionIds	array	No	[]	LinkedIn job function IDs (e.g., 8 for Engineering, 15 for Marketing, 19 for Product Management).
industryIds	array	No	[]	LinkedIn industry IDs (e.g., 4 for Software Development, 43 for Financial Services).
yearsAtCurrentCompanyIds	array	No	[]	Tenure at company filter IDs (1: <1 yr, 2: 1-2 yrs, 3: 3-5 yrs, 4: 6-10 yrs, 5: >10 yrs).
yearsOfExperienceIds	array	No	[]	Total career experience filter IDs (1: <1 yr, 2: 1-2 yrs, 3: 3-5 yrs, 4: 6-10 yrs, 5: >10 yrs).
companyHeadcount	array	No	[]	Headcount brackets: ["A", "B", "C", "D", "E", "F", "G", "H", "I"].
maxItems	integer	No	50	Maximum number of employee profiles to scrape. Set to 0 to scrape all available items (up to 2,500 per search query).
startPage	integer	No	1	Search results page number to begin from. Use this to resume a previous run seamlessly.
proxy	object	No	Residential	Proxy settings. Apify residential proxies are recommended for high-volume jobs.

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🔍 Input Filter Reference Tables

1. Seniority Level Filter (seniorityLevelIds)

ID	Seniority Level	ID	Seniority Level
100	In Training / Intern	210	Experienced Manager
110	Entry Level / Junior	220	Director / Head
120	Senior / Staff	300	Vice President (VP)
130	Strategic / Lead	310	CXO (CEO, CTO, CFO, COO)
200	Entry Level Manager	320	Owner / Partner / Founder

2. Job Function Filter (functionIds)

ID	Function	ID	Function	ID	Function
1	Accounting	10	Finance	19	Product Management
2	Administrative	11	Healthcare Services	20	Program / Project Mgmt
4	Business Development	12	Human Resources	21	Purchasing
6	Consulting	13	Information Technology	22	Quality Assurance
7	Education	14	Legal	24	Research
8	Engineering	15	Marketing	25	Sales
9	Entrepreneurship	18	Operations	26	Customer Success

3. Industry IDs Filter (industryIds)

ID	Industry Name	ID	Industry Name
4	Software Development	44	Investment Banking
6	Technology, Information & Internet	47	Insurance
14	Pharmaceuticals	80	Marketing & Advertising
18	Telecommunications	84	Real Estate
25	Hospital & Health Care	96	Information Technology & Services
43	Financial Services	104	Management Consulting

4. Company Headcount Filter (companyHeadcount)

Code	Employee Size	Code	Employee Size	Code	Employee Size
A	Self-employed	D	51 – 200	G	1,001 – 5,000
B	1 – 10	E	201 – 500	H	5,001 – 10,000
C	11 – 50	F	501 – 1,000	I	10,001+

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💻 Input Examples

Example 1: Full Profile + Email Search for Specific Roles

{
  "companies": [
    "https://www.linkedin.com/company/google"
  ],
  "profileScraperMode": "full_email",
  "jobTitles": [
    "Product Manager",
    "Engineering Manager"
  ],
  "locations": [
    "New York",
    "San Francisco"
  ],
  "maxItems": 50
}

Example 2: Executive Search (Seniority Filter)

{
  "companies": [
    "https://www.linkedin.com/company/cvshealth"
  ],
  "profileScraperMode": "full_email",
  "seniorityLevelIds": [
    "220",
    "300",
    "310"
  ],
  "locations": [
    "California",
    "United States"
  ],
  "maxItems": 100
}

Example 3: Resuming a Previous Run

{
  "companies": [
    "https://www.linkedin.com/company/microsoft"
  ],
  "profileScraperMode": "full",
  "startPage": 11,
  "maxItems": 100
}

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📤 Output Fields

Each profile item stored in the dataset contains comprehensive, clean JSON fields:

Field	Type	Description
id	string	Consistent internal profile ID (e.g., ACoAACLevxs...).
publicIdentifier	string	Profile username or public slug (e.g., towhid-rahman).
linkedinUrl	string	Direct canonical URL to the LinkedIn profile.
firstName	string	First name.
lastName	string	Last name and professional credentials (e.g., Rahman, PharmD).
headline	string	Professional headline and current company title.
about	string	Profile summary bio.
openToWork	boolean	Whether the profile is currently marked as Open to Work.
hiring	boolean	Whether the member has an active hiring badge.
photo	string	Profile picture URL.
premium	boolean	LinkedIn Premium subscriber status.
influencer	boolean	LinkedIn Top Voice / Influencer badge.
location	object	Structured location containing linkedinText, countryCode, and parsed (city, state, country, countryFull).
verified	boolean	Profile identity verification status.
registeredAt	string	Public registration timestamp or null.
topSkills	string	Primary top skills summary (e.g. Pharmacology • Patient Counseling).
connectionsCount	integer	Number of connections (e.g., 500).
followerCount	integer	Estimated follower count.
currentPosition	array	Current active company positions ([{"companyName": "..."}]).
experience	array	Detailed work history (roles, duration, location, description, skills, dates).
education	array	Educational background (schools, degrees, study fields, dates).
certifications	array	Professional licenses, certifications, and issuing institutions.
projects	array	Research and corporate projects.
volunteering	array	Volunteer roles and causes.
skills	array	List of categorized skills with endorsement counts and role associations.
languages	array	Languages spoken and verified proficiency levels.
email	string	Primary corporate business email (in full_email mode).
emails	array	List of candidate business emails generated and checked.
emailStatus	string	Email deliverability status: deliverable, valid, risky, or not_found.
emailConfidence	integer	Deliverability confidence score (0–100%).
scrapedCompany	string	Name of the target company this employee was extracted from.
scrapedAt	string	ISO 8601 UTC timestamp of extraction.

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📋 Sample Output Data (Full + Email Search Mode)

{
  "id": "ACoAACLevxsBfWQoDUYkHyCP2jzl81cDAvckQEI",
  "publicIdentifier": "towhid-rahman",
  "linkedinUrl": "https://www.linkedin.com/in/towhid-rahman",
  "firstName": "Towhid",
  "lastName": "Rahman, PharmD",
  "headline": "Pharmacology | Medical Science Liaison | Pharmacovigilance | Regulatory Toxicologist",
  "about": "I find myself at a unique crossroads where science meets compassion. With over eight years of experience in pharmacology, my journey has been fueled by a genuine desire to improve patient lives. Working at CVS Health has allowed me to interact with over 100 patients each week, guiding them through their health journeys not just by dispensing medications but by truly listening and building trust.",
  "openToWork": false,
  "hiring": false,
  "photo": "https://media.licdn.com/dms/image/v2/C5603AQEbgBlEFwrtUg/profile-displayphoto-shrink_800_800/0/1567218693232",
  "premium": false,
  "influencer": false,
  "location": {
    "linkedinText": "Los Angeles, California, United States",
    "countryCode": "US",
    "parsed": {
      "text": "Los Angeles, CA, United States",
      "countryCode": "US",
      "regionCode": null,
      "country": "United States",
      "countryFull": "United States of America",
      "state": "California",
      "city": "Los Angeles"
    }
  },
  "verified": true,
  "registeredAt": "2017-07-29T17:39:39.165Z",
  "topSkills": "Pharmacology • Patient Care",
  "connectionsCount": 500,
  "followerCount": 520,
  "currentPosition": [
    {
      "companyName": "CVS Health"
    }
  ],
  "experience": [
    {
      "position": "Staff Pharmacist | Prescription Dispensing, Drug Utilization Review, Regulatory Compliance",
      "location": "Thousand Oaks, California, United States",
      "employmentType": "Full-time",
      "workplaceType": "On-site",
      "companyName": "CVS Health",
      "companyLinkedinUrl": "https://www.linkedin.com/company/cvshealth/",
      "duration": "1 yr 7 mos",
      "description": "Exceeded daily production targets by 15% in a high-demand pharmacy environment while ensuring timely service delivery to over 1000 patients each week.",
      "skills": [
        "Patient Care",
        "Pharmacology",
        "Drug Utilization Review",
        "Clinical Research"
      ],
      "startDate": {
        "month": "Jan",
        "year": 2024,
        "text": "Jan 2024"
      },
      "endDate": {
        "text": "Present"
      }
    }
  ],
  "education": [
    {
      "schoolName": "Western University of Health Sciences",
      "schoolLinkedinUrl": "https://www.linkedin.com/company/26345/",
      "degree": "Doctor of Pharmacy",
      "fieldOfStudy": "Pharmacy",
      "skills": [
        "Pharmacology",
        "Clinical Research"
      ],
      "period": "Aug 2018 - May 2022"
    }
  ],
  "certifications": [],
  "projects": [],
  "volunteering": [],
  "receivedRecommendations": [],
  "skills": [
    {
      "name": "Pharmacology",
      "positions": [
        "Staff Pharmacist at CVS Health"
      ]
    },
    {
      "name": "Patient Care",
      "positions": [
        "Staff Pharmacist at CVS Health"
      ]
    }
  ],
  "courses": [],
  "publications": [],
  "patents": [],
  "honorsAndAwards": [],
  "languages": [
    {
      "name": "English",
      "proficiency": "Full professional proficiency"
    }
  ],
  "featured": null,
  "moreProfiles": [],
  "scrapedCompany": "CVS Health",
  "scrapedAt": "2026-10-16T13:45:53.039709+00:00",
  "email": "towhid.rahman@cvshealth.com",
  "emails": [
    "towhid.rahman@cvshealth.com",
    "trahman@cvshealth.com",
    "towhidr@cvshealth.com",
    "towhid_rahman@cvshealth.com",
    "towhid@cvshealth.com"
  ],
  "emailStatus": "deliverable",
  "emailConfidence": 95
}

---

📧 Email Search & Deliverability Verification

When running in Full + email search mode:

1. Corporate Domain Matching: Automatically matches target organizations to their primary email domains (e.g., google.com, cvshealth.com, microsoft.com).
2. Standard Permutation Generation: Formulates candidate business email patterns (first.last@, first@, first_initial.last@, etc.).
3. Live DNS MX Verification: Performs DNS MX record checks to ensure the domain has active, receiving mail exchange servers.
4. Deliverability Rating: Flags addresses as deliverable (with 95% confidence) or risky based on verified mail exchangers.
5. Zero Waste: Profiles where a company domain or MX record cannot be verified are not charged for the email discovery event.

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💰 Pay-Per-Event (PPE) Billing Model

This Actor charges programmatically on Apify Store using Pay-Per-Event (PPE) with tiered volume discounts:

🏷️ Exact Event Pricing Breakdown

Event Name	Display Title	Free / Starter	Personal Tier	Team Tier	Enterprise Tier	Trigger Condition
profile-short	Scraped Employee Profile (Short Mode)	$2.50 / 1k	$2.07 / 1k	$1.63 / 1k	$1.20 / 1k	Charged once per successfully scraped short profile.
profile-full	Scraped Employee Profile (Full Mode)	$7.00 / 1k	$5.67 / 1k	$4.33 / 1k	$3.00 / 1k	Charged once per successfully scraped full profile.
email-search	Verified Business Email Search	$9.00 / 1k	$7.50 / 1k	$6.00 / 1k	$4.50 / 1k	Charged only when a corporate business email is successfully found & verified.
apify-actor-start	Actor Start (Infrequent / Start Fee)	$5.00 / 1k	$4.00 / 1k	$3.00 / 1k	$2.00 / 1k	Charged by Apify per run start to cover proxy & platform setup.

• Adaptive Billing: Profiles lacking enough corporate data to resolve a business email are not charged for email-search. Empty result pages are 100% free.
• Clean Real-Time Auditing: Run logs report the exact event charged and running total count (no confusing raw dollar figures in logs):

  [apify] INFO Charged event: profile-full | Total charged events: 14
  [apify] INFO Charged event: email-search | Total charged events: 15
  [apify] INFO Scraped employee profile: Thomas Han | Product Manager at Google (14/50)
  

• Spending Limit Enforcement: You can set an exact dollar budget cap (ACTOR_MAX_TOTAL_CHARGE_USD) in Apify Console before launching. The Actor automatically halts gracefully as soon as your limit is reached (event_charge_limit_reached).

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📈 Scaling to 100,000+ Profiles Without Rate Limits

If you are scraping large corporate rosters (10,000 to 200,000+ profiles):

1. Filter by Department / City: Instead of scraping all employees of a global enterprise in one broad run, split your queries by metropolitan locations (New York, London, Tokyo, Berlin) or functional roles (Engineering, Marketing, Sales).
2. Use "One by one" Batch Mode: When providing hundreds of companies, select One by one mode so each company is explored cleanly without query degradation.
3. Resume with startPage: If a query is partially scraped, check the Actor log for the last completed page (e.g., Scraped page 10. Found 25 profiles) and launch a new run starting at startPage: 11.
4. Use Apify Residential Proxies: Ensure proxy.useApifyProxy = true with group RESIDENTIAL for optimal throughput and unthrottled access.

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🔌 API Integration Examples

Node.js / JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
  token: process.env.APIFY_API_TOKEN,
});

const run = await client.actor('your-username/linkedin-company-employees-scraper').call({
  companies: ['https://www.linkedin.com/company/google'],
  profileScraperMode: 'full_email',
  jobTitles: ['Software Engineer', 'Product Manager'],
  locations: ['New York'],
  maxItems: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} employee profiles!`);

Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ.get('APIFY_API_TOKEN'))

run_input = {
    "companies": ["https://www.linkedin.com/company/cvshealth"],
    "profileScraperMode": "full_email",
    "locations": ["California"],
    "maxItems": 100,
}

run = client.actor("your-username/linkedin-company-employees-scraper").call(run_input=run_input)

dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
for profile in dataset_items:
    print(f"{profile['firstName']} {profile['lastName']} - {profile['headline']} ({profile.get('email')})")

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❓ Frequently Asked Questions (FAQ)

Do I need to provide LinkedIn cookies or log in with my account?

No. This Actor operates 100% without your LinkedIn login, cookies, or account credentials. There is zero risk to your personal LinkedIn account.

Can it scrape companies with thousands of employees?

Yes. You can scrape large companies by paginating through search results (up to 2,500 profiles per query). For enterprise headcounts, subdivide your run by locations or job titles.

Can I export data to Excel or CSV?

Yes. Once the run completes, you can download all results directly from Apify Console as CSV, JSON, Excel (XLSX), or XML.

What happens if an email cannot be found?

If an employee profile does not have enough information to resolve a valid corporate email, the Actor marks the email as not_found and you are not charged for the email search add-on.

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💬 Support & Feedback

• Issues: Submit tickets directly on the Actor's Issues tab in Apify Console.
• Updates: Follow for regular feature updates, new filter options, and rate-limit optimizations.