LinkedIn Company Employees Scraper

Thirdwatch portfolio: 5K users across 88 public Actors, 2M+ records delivered, and >99% run success. Explore all Thirdwatch Actors.

Build structured employee lists from public LinkedIn results for target accounts, competitors, and hiring markets. Search by company name or LinkedIn company URL, optionally filter by job title and location, and export clean JSON for CRM enrichment, recruiting research, ABM, or market analysis.

No LinkedIn login, cookies, Sales Navigator seat, or browser session is required.

Value proposition

Most sales and recruiting workflows need the same first step: turn a company into a usable list of people. This actor does that from public LinkedIn data, returning employee names, profile URLs, headlines, current roles, and optional full profile enrichment.

Use it when you need:

• Prospect lists for named accounts
• Engineering, sales, product, or leadership maps by company
• Competitor talent research
• CRM refreshes for people tied to specific accounts
• A URL source for deeper enrichment with LinkedIn Profile Scraper

What's new

• Company URL or company-name input: use precise LinkedIn company URLs when you have them, or simple company names when you do not.
• Basic and Full modes: start with fast profile discovery, then enrich selected profiles with deeper public profile fields.
• Title and location filters: narrow searches before results are returned.
• Apify-ready JSON output: export directly to datasets, webhooks, API clients, or MCP-compatible agents.

What data you get

Basic mode

Field	Description
fullName	Employee full name
headline	Public LinkedIn headline
url	LinkedIn profile URL
experience	Current visible role or headline-derived position
sourceCompany	Company searched in the run

Full mode

Full mode includes the Basic fields plus deeper public profile enrichment when available.

Field	Description
publicIdentifier	LinkedIn profile slug
location	Public profile location
about	Public profile summary
profilePhoto	Profile image URL
followersCount	Public follower count
experience	Work history with company, role, dates, duration, and location when available
education	Schools, degrees, fields of study, and dates when available
skills	Listed skills when available
certifications	Listed certifications when available
languages	Listed languages when available

Quick-start input examples

1. Fast employee discovery by company URL

{
  "queries": ["https://www.linkedin.com/company/stripe/"],
  "mode": "basic",
  "maxResults": 50
}

2. Find engineering employees at one company

{
  "queries": ["https://www.linkedin.com/company/anthropic/"],
  "mode": "basic",
  "jobTitle": "Software Engineer",
  "location": "San Francisco",
  "maxResults": 100
}

3. Enrich profiles for multiple target accounts

{
  "queries": ["Stripe", "Datadog", "https://www.linkedin.com/company/anthropic/"],
  "mode": "full",
  "jobTitle": "Product Manager",
  "maxResults": 25
}

Input parameters

Parameter	Required	Default	Description
queries	Yes	-	Company names, company-style searches, or LinkedIn company URLs.
mode	No	basic	Use basic for discovery or full for profile enrichment.
jobTitle	No	-	Optional title filter such as Software Engineer, VP Sales, or Product Manager.
location	No	-	Optional location filter such as San Francisco, London, or India.
maxResults	No	50	Maximum employees per company, up to the actor limit.

Sample output snippet

{
  "fullName": "Jane Smith",
  "headline": "Senior Software Engineer at Anthropic",
  "url": "https://www.linkedin.com/in/janesmith/",
  "publicIdentifier": "janesmith",
  "location": "San Francisco, California, United States",
  "about": "Building applied AI systems.",
  "profilePhoto": "https://media.licdn.com/dms/image/...",
  "followersCount": 2450,
  "experience": [
    {
      "position": "Senior Software Engineer",
      "companyName": "Anthropic",
      "startDate": {"year": 2023},
      "duration": "3 yrs",
      "location": "San Francisco, CA"
    }
  ],
  "education": [
    {
      "schoolName": "Stanford University",
      "degreeName": "Master of Science",
      "fieldOfStudy": "Computer Science"
    }
  ],
  "skills": ["Python", "Machine Learning", "Distributed Systems"],
  "certifications": [],
  "languages": ["English"],
  "sourceCompany": "anthropic"
}

Use cases

• Account-based sales: map decision-makers and functional teams at named accounts before outbound campaigns.
• Recruiting research: find engineers, designers, product managers, or executives at competitor companies.
• Competitive intelligence: monitor how public LinkedIn-visible teams are distributed by role and location.
• CRM enrichment: refresh account contacts with current public LinkedIn profile URLs, headlines, and locations.
• Market mapping: compare talent density across companies, regions, and job functions.

Pricing examples

Pricing is pay per result. The current Store pricing for this actor is designed around $3 per 1,000 results.

Run size	Approximate result cost
100 employees	$0.30
1,000 employees	$3.00
10,000 employees	$30.00

Apify platform usage and proxy costs, if applicable to your account, are handled by Apify separately from pay-per-result pricing.

Limitations

• Results come from public search visibility and should not be treated as an exhaustive company org chart.
• Very common company names can produce false positives. Use the LinkedIn company URL for higher precision.
• Title and location filters narrow public search results but are not guaranteed exact-match filters.
• Full mode is slower than Basic mode because it enriches profile pages one by one.
• Profiles with restricted visibility may return fewer fields.

FAQ

Do I need LinkedIn login credentials?

No. The actor works from public LinkedIn-visible data and does not require cookies, a LinkedIn account, or Sales Navigator.

Should I use company names or LinkedIn company URLs?

Use LinkedIn company URLs when possible. They are more precise than names such as Apple, Stripe, or Google, which can have multiple public interpretations.

Which mode should I start with?

Start with basic to validate that your query returns the right people. Use full when you need work history, education, skills, certifications, or languages.

Can I filter by both title and location?

Yes. For example, use jobTitle: "Data Scientist" and location: "New York" to narrow employee discovery before results are returned.

Can I schedule this actor?

Yes. Use Apify schedules to refresh target-company employee lists daily, weekly, or monthly.

Support and custom builds

Need a custom LinkedIn workflow, CRM export, enrichment chain, or private actor for a specific sales or recruiting process? Contact Thirdwatch through Apify or visit thirdwatch.dev for custom builds.

Pairs well with LinkedIn Profile Scraper for profile-level enrichment and LinkedIn Jobs Scraper for hiring-intent data.

Last verified: 2026-05