Linkedin Employees Scraper
1 day trial then $39.00/month - No credit card required now
Linkedin Employees Scraper
1 day trial then $39.00/month - No credit card required now
Effortlessly gather LinkedIn URLs and names of employees in bulk. Ideal for HR and recruitment, this tool quickly provides essential contact information, simplifying talent search and networking opportunities.
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.
🚀 Features
- Lightning-fast scraping: Retrieve up to 500 employee results in just 60 seconds
- Scrape employee data from multiple company pages simultaneously
- Option to filter results by specific job titles, allowing targeted searches (e.g., find Marketing Heads for direct outreach campaigns)
- New feature: Add custom job titles for more specific searches
- Customizable limit on the number of results per company
- Built with JavaScript for optimal performance and efficiency
📋 Input Parameters
Field | Description | Example Input |
---|---|---|
companyUrls | Company URLs to scrape employees from. Paste the URLs and get the results immediately. | ["https://www.linkedin.com/company/microsoft/", "https://www.linkedin.com/company/apple/"] |
designation | Search for specific job titles to filter the results. Select from predefined options or leave empty. | ["CEO", "COO", "CFO", "CTO", "CMO", "CHRO", "CDO", "CPO", "CCO", "Team Leader", "Manager", "Director of", "Head of", "Chief", "President", "Lead"] |
maxResultsPerCompany | Maximum number of employee results to scrape per company. | 1000 |
country | Country code to filter the results. | "us" |
language | Language code to filter the results. | "en" |
location | Location (city, postal code, etc) to filter the results. | "New York" |
Sample Input
1{ 2 "companyUrls": [ 3 "https://www.linkedin.com/company/microsoft/", 4 "https://www.linkedin.com/company/apple/" 5 ], 6 "designation": [ 7 "CEO", 8 "COO", 9 "CFO", 10 "CTO", 11 "CMO", 12 "CHRO", 13 "CDO", 14 "CPO", 15 "CCO", 16 "Team Leader", 17 "Manager", 18 "Director of", 19 "Head of", 20 "Chief", 21 "President", 22 "Lead" 23 ], 24 "maxResultsPerCompany": 1000, 25 "country": "us", 26 "language": "en", 27 "location": "New York" 28}
📊 Output Format
The actor returns a structured dataset with the following fields for each employee:
- Company: The company name
- Designation: Job title (if available)
- Followers: Number of followers
- Link: URL to the employee's profile
- Location: Employee's location
- Name: Employee's full name
Example output:
Company | Designation | Followers | Link | Location | Name |
---|---|---|---|---|---|
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 |
⚡ Performance
- Scrapes up to 500 employee profiles in 60 seconds
- Efficient data collection without compromising on detail
💡 Usage Tips
- Use the new designation field to specify job titles for more specific searches.
- Use the new country, language and location(city, postal code, etc) filters to get more targeted results.
- For smaller companies leave the designation field empty to get more results.
- Adjust maxResultsPerCompany based on the organization size and your needs.
- Use an array of URLs in companyUrls for efficient batch processing.
📊 Use Cases
- Rapid talent acquisition and recruitment
- Efficient B2B sales lead generation
- Quick competitive analysis
- Fast-paced market research
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🆘 Support
If you encounter any problems, 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 to your inquiries.
We appreciate your feedback and will do our best to assist you with any concerns.
- 75 monthly users
- 9 stars
- 99.5% runs succeeded
- 6.7 days response time
- Created in Dec 2023
- Modified 6 days ago