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LinkedIn Company Employees Scraper โœ… No Cookies ๐Ÿ“ง โ€” linkedin | Lagic

Built For

Get a targeted list of employees from any LinkedIn company page, with optional email search.

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Configure Agent

Choose the mode for scraping LinkedIn profiles. The Short mode provides basic information, while the Full mode includes full detailed profile data.

Maximum number of profiles to scrape. The agent will stop scraping when this limit is reached.

Search employees of these companies. Provide full LinkedIn URLs. Example: `

Filter employees by these LinkedIn locations. Example: `San Francisco`. LinkedIn does not always understand your text queries. For example for "UK" query it will apply "Ukraine" location, so you should use "United Kingdom" in this case. Try this out first in the location filter input of LinkedIn search at ` - we will use the first suggestion from the autocomplete popup when you type your location

Query to search LinkedIn profiles.

Filter Profiles by these LinkedIn job titles. Example: `Software Engineer`.

Filter Profiles by these LinkedIn past job titles. Example: `Software Engineer`.

Filter Profiles by these LinkedIn industry IDs. Example: `4` for 'Software Development'. Full list: `

Results to deliver

300 credits

This agent actively searches live listings โ€” results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

3 credits per result
โœ“ 30 free credits on signupโœ“ Refund if 0 resultsโœ“ No card required

Sample Data Preview

Full name, headline, and public LinkedIn profile URLCurrent job title, company name, and tenureComplete work history with past roles, companies, and durationsEducation background including school, degree, and field of studyGeographic location (city, state, country)Profile summary (the 'About' section)
https://...Sample Text...Value...Value...742Value...
https://...Sample Text...Value...Value...409Value...
..................
Exports as:CSVXLSXJSON

Overview

Extract employee profiles from specific LinkedIn company pages without using your own account. Get data like job titles, locations, and work history to build lists for recruiting, lead generation, or market research.

This tool builds highly specific lists of professionals from any LinkedIn company page. It's designed for users who need to bypass manual searches and data entry, operating without requiring your personal LinkedIn account or cookies. The main advantage is its deep filtering capability. You can pinpoint the exact professionals you need by combining numerous criteria. Filter by current or past job titles, geographic location, seniority level (from entry-level to C-suite), years of experience, industry, company size, and more. You can also use exclusion filters to remove irrelevant profiles from your results, ensuring your final list is clean and focused. Choose from three data depth options: a 'Short' scrape for basic info, a 'Full' scrape for complete profile details including work history and education, or 'Full + email search' to add potential business email addresses to the dataset. This is ideal for recruiters building candidate pipelines, sales teams performing account mapping for ABM strategies, and market researchers analyzing the talent landscape of competitors.

Key Capabilities

  • โœ“ Full name, headline, and public LinkedIn profile URL
  • โœ“ Current job title, company name, and tenure
  • โœ“ Complete work history with past roles, companies, and durations
  • โœ“ Education background including school, degree, and field of study
  • โœ“ Geographic location (city, state, country)
  • โœ“ Profile summary (the 'About' section)
  • โœ“ A list of skills with endorsement counts
  • โœ“ Certifications, courses, and publications listed on the profile
  • โœ“ Public follower and connection counts
  • โœ“ Optionally, discovered business email addresses
  • โœ“ Build a candidate pipeline of senior software engineers in London from specific competitor firms.
  • โœ“ Generate a lead list of VPs of Marketing in the North American SaaS industry for a new martech tool.
  • โœ“ Map the organizational structure of a target account by exporting all director-level and above employees.
  • โœ“ Analyze the employee distribution and seniority levels of a fast-growing startup for investment research.
  • โœ“ Track recent hires and departures at key competitors to inform competitive strategy.
  • โœ“ Find all alumni from a specific university now working in the finance sector in New York City.
  • โœ“ Identify potential speakers for an industry conference by filtering for specific job titles and expertise.

Field Dictionary

How To Run This Extractor

1

Provide one or more LinkedIn company page URLs in the 'Companies' field.

2

Select the desired scraping mode: 'Short', 'Full', or 'Full + email search'.

3

Apply filters like 'Job Title Filter' or 'Locations Filter' to narrow down the employee list.

4

Set the 'Maximum number of profiles to scrape' to control the size of your output.

5

Run the tool to begin the extraction process.

6

Download the collected employee data as a CSV, Excel, or JSON file.

Frequently Asked Questions

Do I need to provide my own LinkedIn account or cookies?
No. This tool operates independently and does not require your personal LinkedIn credentials.
What's the difference between 'Short', 'Full', and 'Full + email search' modes?
How does the email search work?
What format does the data come in?
Is it legal to scrape LinkedIn employee data?
How many profiles can I scrape at once?
Can I use this for client work at my agency?
What does the 'Company Batch Mode' option do?
How fresh is the data?
Can I schedule this tool to run automatically?
How do the cost tiers work?
What if LinkedIn doesn't understand my location filter, like 'UK'?