Linkedin Employees Scraper

The LinkedIn Employees Scraper is a high-speed tool for extracting employee information from company pages. It can gather data on up to 500 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 proxies: Full support for Apify Proxy configuration. Select from various proxy groups(Residential/Datacenter) to suit your cost and performance needs.
• 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
country	Country code to filter results.	"us"
language	Language code to filter results.	"en"
location	Location (city, postal code, etc.) to filter results.	"New York"
proxyConfiguration	Configure proxies by choosing Apify Proxy groups(Residential/Datacenter).	{"useApifyProxy":true,"apifyProxyGroups":["RESEDENTIAL"]}

Sample Input

1{
2    "companyUrls": [
3        "https://www.linkedin.com/company/microsoft/",
4        "https://www.linkedin.com/company/apple/",
5        "https://www.linkedin.com/school/harvard-university/"
6    ],
7    "designation": [
8        "CEO",
9        "CFO",
10        "Team Leader",
11        "Manager",
12        "President",
13        "Lead"
14    ],
15    "maxResultsPerCompany": 1000,
16    "country": "us",
17    "language": "en",
18    "location": "New York",
19    "proxyConfiguration": {
20        "useApifyProxy": true,
21        "apifyProxyGroups": ["RESIDENTIAL"]
22    }
23}

🎥 Input Example

📊 Output Format

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

• Company: The company name
• Name: Employee's full name
• Designation: Job title (if available)
• Link: URL to the employee's profile
• Followers: Number of followers
• Location: Employee's location
• Verified: Indicator if the employee is verified

Example output:

Company	Designation	Followers	Link	Location	Name	Verified
Acme Corp	Marketing Head	2600	https://www.linkedin.com/in/johndoe	New York, New York, US	John Doe	✅
Globex Co	CMO	7900	https://www.linkedin.com/in/janesmith	San Francisco, California, US	Jane Smith	✅
Acme Corp	VP of Marketing	3500	https://www.linkedin.com/in/bobwilson	Chicago, Illinois, US	Bob Wilson	✅

🎬 Output Example

🌐 Proxy Configuration

• Residential Proxies: Best for fast and high-volume scraping with higher success rates, but more expensive.
• Datacenter Proxies: A cost-effective choice with steady speeds, costing 20 times less than residential proxies.

⚡ Performance

• Scrapes up to 500 employee profiles in ~60 seconds
• Efficient and targeted data collection without compromising on detail

💡 Usage Tips

• Use the designation field: Specify standard or custom job titles for more precise results.
• Location and language filters: Narrow down candidates by country, language, or city for highly targeted outreach.
• Proxy configuration: Optimize scraping performance and cost by selecting from Apify proxies(Datacenter/Residential).
• Verification data: Prioritize outreach by focusing on verified employees.
• 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.