Linkedin Employees Scraper

The LinkedIn Employees Scraper is a high-speed, cost-effective tool for extracting employee information from company pages. It can gather data on up to 2000 employees in 60 seconds, including names, job titles, and locations. This versatile actor allows customizable searches across multiple companies, making it perfect for recruitment, lead generation, and market research.

🚀 New & Notable Features

• Filter by job titles: Option to filter results by specific job titles for targeted searches.
• Add custom job titles: Define custom titles to refine your searches further.
• Employee verification: Clearly see which employees are verified, enhancing data credibility.
• Alumni extraction: Extract alumni of any college.
• Lightning-fast scraping: Retrieve up to 500 employee results in just 60 seconds.
• Multi-company support: Scrape employee data from multiple company pages simultaneously.
• Flexible language options: Customize interface language and filter by employees' spoken languages.
• Customizable result limits: Specify how many employee results you want per company.

📋 Input Parameters

Field	Description	Example Input
companyUrls	Company URLs to scrape employees from.	["https://www.linkedin.com/company/microsoft/", "https://www.linkedin.com/company/apple/"]
designation	Search for specific job titles to filter results. Add predefined or custom titles.	["CEO", "CFO", "Team Leader", "Manager", "President", "Lead"]
maxResultsPerCompany	Maximum number of employee results to scrape per company.	100
verifyEmployee	Toggle to enable employee verification.	true
employeeCountryFilter	Restrict results to employees in specific countries.	["US", "GB", "IN"]
regionHint	Two-letter country code to indicate the primary region for search relevance.	"US"
displayLanguage	Interface language for displaying LinkedIn employee profiles.	"en"
employeeSpokenLanguage	Restrict search to employees speaking specific languages.	["en", "fr", "de"]

Sample Input

{
    "companyUrls": [
        "https://www.linkedin.com/company/microsoft/",
        "https://www.linkedin.com/company/apple/",
        "https://www.linkedin.com/school/harvard-university/"
    ],
    "designation": [
        "CEO",
        "CFO",
        "Team Leader",
        "Manager",
        "President",
        "Lead"
    ],
    "maxResultsPerCompany": 1000,
    "verifyEmployee": true,
    "employeeCountryFilter": ["US", "GB"],
    "regionHint": "US",
    "displayLanguage": "en",
    "employeeSpokenLanguage": ["en"]
}

🎥 Input Example

📊 Output Format

The actor returns a structured dataset with the following fields for each employee:

• Thumbnail: Employee's profile picture URL
• Name: Employee's full name
• Company: The company name
• Designation: Job title
• Link: URL to the employee's LinkedIn profile
• Followers: Number of followers
• Education: Educational background
• Experience: Work experience
• Location: Employee's location
• Verified: Indicator if the employee is verified (shown as ✅)

Example output:

Thumbnail	Name	Company	Designation	Link	Followers	Education	Experience	Location	Verified
[Image]	Amy Johnson	TechCorp	Chief Marketing Officer	https://www.linkedin.com/in/amyjohnson	500+	Stanford University	TechCorp	San Francisco, California	✅
[Image]	David Williams	DataSphere	VP of Engineering	https://www.linkedin.com/in/davidwilliams	2300	MIT	DataSphere	Boston, Massachusetts	✅
[Image]	Maria Garcia	CloudNine	Product Manager	https://www.linkedin.com/in/mariagarcia	500+	UC Berkeley	CloudNine	Seattle, Washington	✅
[Image]	Robert Chen	Quantum AI	Technical Director	https://www.linkedin.com/in/robertchen	1800	University of Washington	Quantum AI	Austin, Texas	✅
[Image]	Sarah Miller	TechCorp	Software Engineer	https://www.linkedin.com/in/sarahmiller	650	Harvard University	TechCorp	New York, NY	✅

🎬 Output Example

⚡ Performance

• Scrapes up to 500 employee profiles in ~60 seconds
• Efficient and targeted data collection without compromising on detail
• Budget-friendly solution that delivers premium results at an affordable price

💡 Usage Tips

• Use the designation field: Specify standard or custom job titles for more precise results.
• Country and language filters: Narrow down candidates by country or spoken language for highly targeted outreach.
• Region hint: Improve relevance by setting the primary geographic focus of your search.
• Verification toggle: Enable employee verification to enhance data credibility.
• Display language: Set your preferred interface language for viewing results.
• Batch processing: Provide an array of company URLs for concurrent scraping.

📊 Use Cases

• Talent acquisition: Rapidly build candidate pools for recruitment.
• B2B lead generation: Identify and verify key decision-makers for sales outreach.
• Competitive analysis: Monitor competitor teams and strategic hires.
• Market research: Quickly survey employee distributions across multiple geographies and roles.
• Alumni extraction: Extract alumni of any college.

🔗 Other Actors you might want to check

• LinkedIn Company URL Retriever
• LinkedIn People URL Retriever

🆘 Support

If you encounter any issues, have suggestions for improvements, or need assistance, please use the Issues tab on the actor's page. Our team actively monitors this section and will respond promptly.

We appreciate your feedback and will do our best to assist you with any concerns.