LinkedIn Company Employees Scraper
Pricing
from $2.99 / 1,000 results
LinkedIn Company Employees Scraper — Extract LinkedIn employee data including names, job titles, locations, profile URLs, current positions, and company details. Useful for lead generation, hiring research, prospecting, competitor analysis, and business intelligence.
One or more LinkedIn companies, one per line: a full company URL (e.g. https://www.linkedin.com/company/google) or just a company name (e.g. google). Up to 1000 entries.
How much of each employee's profile to scrape. Short: identity, headline, location, photo and current position only. Full: everything Short has, plus experience, education, skills, certifications, and other profile sections, with company details attached to each position. Full + email search: everything Full has, plus an attempt to find a work email address for each person in public web results and on the profile (not guaranteed; often empty).
Stop after this many employee rows for each company listed above (default 10). Example: 2 companies and 150 return up to 300 rows. Free plan: up to 20 employees per run (all companies together) and 200 per month; paid plans have no limit.
Only keep employees whose profile location matches one of these (phrase match), e.g. "United States", "San Francisco". Up to 50 entries.
Extra free-text filter: every word must appear in the employee's name, headline, current title, or about section. Up to 300 characters.
Only keep employees whose current title or headline contains every word of at least one of these, e.g. "Software Engineer". Up to 50 entries.
Only keep employees with a past position whose title matches one of these. Up to 50 entries.
Only keep employees whose education lists one of these schools. Up to 50 entries.
Only keep employees whose current company's LinkedIn industry id is one of these (LinkedIn's official industry code list, e.g. "4" = Software Development). Up to 50 entries.
Only keep employees whose time at their current company falls in one of these buckets: 1 = under 1 year, 2 = 1-2 years, 3 = 3-5 years, 4 = 6-10 years, 5 = over 10 years. Needs start dates, which most public profiles hide, so this filter keeps few employees.
Same buckets as above, measured from the employee's earliest known position start date instead. Needs start dates, which most public profiles hide.
Only keep employees whose current title matches one of these LinkedIn seniority levels. A title that matches none of LinkedIn's seniority wording is left unclassified and never matches this filter.
Only keep employees whose current title matches one of these LinkedIn job functions.
Only keep employees whose current company's declared employee-count range matches one of these.
Only keep employees whose current position started within the last 2 calendar months (about 90 days). Needs a start date on the public profile.
Drop employees whose profile location matches one of these. Up to 50 entries.
Drop employees who held a past position at one of these companies (LinkedIn company URLs or names). Up to 50 entries.
Drop employees whose education lists one of these schools. Up to 50 entries.
Drop employees whose current title or headline matches one of these. Up to 50 entries.
Drop employees who held a past position with a title matching one of these. Up to 50 entries.
Drop employees whose current company's LinkedIn industry id is one of these. Up to 50 entries.
Drop employees whose current title matches one of these LinkedIn seniority levels.
Drop employees whose current title matches one of these LinkedIn job functions.
"All at once" scrapes every company at the same time. "One by one" scrapes them in turn. Either way each company gets its own Max employees per company.
Optional. When set, replaces Max employees per company above for every company. Leave empty to use that value.
For each company, skip the first (N-1) x 25 matching employees and start returning results from result page N. 1 = no skip.
For each company, return at most this many result pages (25 matching employees each). Leave empty for no page cap (still bounded by Max employees per company).
