LinkedIn Company Employees Scraper + Email Finder — No Login

Turn company targets into employee lead lists without manually collecting profile URLs first.

Give it: LinkedIn company URLs or company names. Optionally filter by job title, location or keyword.
Get: employee name, role, LinkedIn URL, company context and a verified business email when one can be confirmed.
Price: $0.01 per employee record returned. Email discovery/verification is included in that result price; some employees will legitimately return without a verified email.

Built for bulk lead generation

• Up to 2,000 employee records per run
• Multiple companies in one input, up to 50 company targets per run
• Direct input, CSV / Excel / Google Sheets, or an Apify Dataset ID
• Optional job-title, location and keyword filters
• Decision makers only toggle: Director / VP / CXO / Owner-Partner
• One-click department filters for Sales, Marketing, HR, Business Development, Engineering, Operations, Finance, IT, Product and Customer Success
• Progressive email verification: likely patterns first; stop once a real mailbox is confirmed
• Catch-all / rejected mailboxes are never labelled verified
• CSV / JSON / Excel export through the Apify dataset
• API and MCP friendly

High-value shortcut: company → decision makers → emails

Want the shortest path to a prospect list? Turn on Decision makers only, choose a department, and enter target companies. Example:

Microsoft → Marketing → Director/VP/CXO → employee rows + verified business email attempts

This avoids collecting individual LinkedIn URLs first and is designed for repeat account-based prospecting runs.

Why this exists

Most workflows make you run a company-employee scraper, export the profiles, resolve each company domain, then run a separate email finder. This Actor joins those steps into one dataset.

Typical use cases: find sales leaders at target accounts, recruiters at hiring companies, marketing decision-makers, operators by city, or employee lists for account-based prospecting.

Input

Add company targets directly in companies, upload a CSV/XLSX/Google Sheets list with companyFile, or chain an Apify dataset with companyDatasetId. Full LinkedIn company URLs work best; plain company names are also resolved. Up to 50 company targets can be processed per run. Add jobTitles, locations or searchQuery to narrow the list. maxEmployees defaults to 100 and supports up to 2,000.

Output

Each employee row includes full_name, linkedin_url, job_title, company_name, company_domain, location, verified_email, email_status, confidence, and verification diagnostics.

FOUND means a separate deliverability check accepted the specific mailbox and it was not catch-all. NOT_FOUND means we did not get enough evidence to call an email verified.

Related QualifyOps tools

Already have a list of LinkedIn profile URLs? Use Bulk LinkedIn Email Finder — Verified Emails, No Cookies: https://apify.com/qualifyops/linkedin-email-finder-verified

Starting from names + company domains? Use Email Finder & Verifier API: https://apify.com/qualifyops/email-finder-verified

Repeat workflows

For recurring account-based prospecting, save the input as an Apify Task and schedule it. Dataset chaining lets an upstream company list feed this Actor without CSV handoffs.

Find high-intent companies first

Need a reason to prioritize which accounts to prospect? Use Company Buying Signals — Hiring Intent from ATS Jobs first: https://apify.com/qualifyops/ats-hiring-signal-finder

That creates a simple loop: hiring signal → target company → employees / decision makers → verified business email attempts.