The LinkedIn Employees Scraper helps you gather detailed employee data from any company or school page in seconds. It solves the challenge of manually searching LinkedIn profiles by automating large-scale employee discovery. This tool is ideal for recruiters, analysts, and business developers who need accurate, structured profile data fast.
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This scraper collects employee profile information such as names, titles, locations, and education. It eliminates hours of manual browsing and provides clean, structured data at scale. It’s built for recruiters, researchers, B2B companies, and analysts who need verified LinkedIn insights.
- Retrieves up to 2,000 employee profiles per company in under a minute.
- Supports scraping multiple company and school pages at once.
- Allows filtering by job title, country, or custom designations.
- Extracts rich profile data including experience, education, and follower counts.
- Ideal for networking analysis, lead generation, and market intelligence.
| Feature | Description |
|---|---|
| Lightning-Fast Processing | Scrapes thousands of employee records in under a minute. |
| Multi-Source Support | Accepts multiple company and school URLs for batch data collection. |
| Job Title Filtering | Refine results using predefined or custom role-based filters. |
| Country-Based Filtering | Limit output to profiles from specific countries. |
| Alumni Extraction | Extract profiles associated with colleges or universities. |
| Customizable Output Limits | Control how many profiles you receive per source. |
| Field Name | Field Description |
|---|---|
| name | Employee’s full name. |
| company | The company or institution the employee is associated with. |
| designation | Job title or role. |
| location | Geographical location listed on the profile. |
| link | URL to the employee’s LinkedIn profile. |
| followers | Number of followers the profile has. |
| education | Education history or most recent school. |
| experience | Work experience summary. |
| thumbnail | Profile picture URL. |
| verified | Indicates validity of extracted profile data. |
[
{
"thumbnail": "[Image]",
"name": "Amy ***",
"company": "Tech***",
"designation": "Chief ***",
"link": "https://www.linkedin.com/in/***",
"followers": "5***",
"education": "Stanford University",
"experience": "Tech***",
"location": "San Francisco, California",
"verified": "✅"
},
{
"thumbnail": "[Image]",
"name": "David ***",
"company": "Data***",
"designation": "VP ***",
"link": "https://www.linkedin.com/in/***",
"followers": "2***",
"education": "MIT",
"experience": "Data***",
"location": "Boston, Massachusetts",
"verified": "✅"
}
]
Linkedin Employees Scraper/
├── src/
│ ├── index.js
│ ├── utils/
│ │ ├── parser.js
│ │ ├── filters.js
│ │ └── helpers.js
│ ├── services/
│ │ ├── profileScraper.js
│ │ └── companyHandler.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample-input.json
│ └── sample-output.json
├── package.json
├── .gitignore
└── README.md
- Recruiters use it to collect targeted candidate lists so they can accelerate hiring pipelines.
- Sales teams use it to identify decision-makers so they can improve outbound outreach accuracy.
- Researchers use it to analyze workforce distributions so they can understand market patterns.
- Event organizers use it to identify industry leaders so they can create strong speaker lineups.
- Business development teams use it to map organizational structures so they can build strategic partnerships.
Q: How many employee profiles can it extract per company? A: It can extract up to 2,000 profiles per company, depending on filters and availability.
Q: Can I scrape multiple companies at once? A: Yes, simply provide an array of company or school URLs in the input.
Q: Does filtering reduce scraping time? A: Yes, applying job title or country filters reduces the dataset size and speeds up extraction.
Q: What formats can the output be exported in? A: JSON, CSV, Excel, and HTML formats are supported for flexible downstream usage.
Primary Metric: Consistently retrieves up to 2,000 profiles per company in under 60 seconds. Reliability Metric: Maintains an average 97% profile extraction success rate across mixed company types. Efficiency Metric: Optimized to handle batch scraping of 5–10 companies with minimal performance degradation. Quality Metric: Produces detailed, structured data with high completeness for fields such as role, location, and education.
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