LinkedIn Company Employees Scraper & Email Finder — No Cookies, Verified

Find a company's employees on LinkedIn without logging in — names, current titles, headlines, locations, and profile URLs — filtered by ICP title and seniority, with an optional contact-email finder. Pass a company name or a LinkedIn URL (mix freely), and every match is verified against its own public web result, so you get confirmed current employees — not raw search-engine guesses.

No login. No cookies required. No ban risk. Pay only for the profiles you get.

Fair billing: you pay only per delivered profile. Empty searches, failed pages, and duplicates are never charged — and the email fee applies only when a contact email is actually found.

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Why use this scraper

• Verified, not guessed. Most "LinkedIn employee" tools dump whatever a search returns and tag it low confidence. This actor reads each result's current employer, title, and location, cross-checks the employer against your target company, and labels each row high / medium / low — with a plain-English reason. Former employees and lookalikes are flagged, not sold to you as current staff.
• No login, no cookie, no ban risk. Discovery runs entirely over the public web index. Your LinkedIn account is never touched. (An optional cookie mode exists for power users who want the full authenticated roster.)
• Names or URLs. Don't have the LinkedIn company URL? Just type the company name. Mix names and URLs in one run.
• ICP targeting built in. Filter by explicit titles (CEO, Head of Sales, Recruiter…) or by seniority buckets (owner, CxO, VP, director, manager…). Leave it empty and a built-in English/Spanish decision-maker set is used automatically.
• Contact emails, optional. Turn on the email finder to attach a contact email per company.
• Pay per result. Transparent pay-per-event pricing — a small run-start fee plus a flat price per profile, and a slightly higher price only when an email is found.

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What it does

Give it one or more companies and, optionally, the titles/seniority you care about. The actor:

1. Discovers public LinkedIn profiles associated with each company via the public web index.
2. Verifies each match from its own public result — pulling current title, employer, and location, and confirming (or refuting) that the person currently works at the target company.
3. Optionally finds a contact email per company.
4. Returns one clean, de-duplicated row per person, each tagged with a confidence level.

No LinkedIn login is used or required in the default mode.

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Supported inputs

You provide	Example
Company name	OpenAI
LinkedIn company URL	https://www.linkedin.com/company/stripe/
A mix of both	["OpenAI", "https://www.linkedin.com/company/stripe/"]
Target titles (ICP)	["CEO", "Head of Sales", "Recruiter"]
Seniority buckets	["cxo", "vp", "director"]
Location hint	"San Francisco"

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Use cases

• Sales & lead-gen — build decision-maker lists at target accounts, filtered by title and seniority, ready for your CRM.
• Recruiting & talent mapping — see who works where by role and level; map a competitor's team.
• LATAM outreach — the built-in title set includes Spanish decision-maker titles (Gerente General, Presidente, Dueño, Fundador…) so Spanish-language headlines actually match.
• Market & competitive research — headcount by function, org composition, and hiring signals.
• AI agents & automation — a clean, structured, verified data source for autonomous prospecting via the Apify API.

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How it works

1. Discover — for each company × target title, the actor queries the public web index for LinkedIn profiles and parses them into a unified row shape (name, headline, profile URL).
2. Verify — each row is confirmed from its own public result: the current title, employer, and location are extracted and the employer is cross-checked against the target company. Confidence is set to high (confirmed current employee, title matches), medium (works there but a different title, or only mentioned / a past role), or low (couldn't confirm). "Former"/"ex-" roles are detected and never sold as current.
3. Enrich (optional) — one contact email per company is discovered and stamped onto its rows.
4. Return & bill — one de-duplicated row per person is written to the dataset, billed per profile (with an email premium only when an email was actually found).

An advanced deep-verify option additionally fetches each public profile page; because LinkedIn heavily gates those pages it is slow and best-effort, so it's off by default — snippet verification already confirms the current employer without it.

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Input configuration

Field	Type	Default	Description
companies	array	—	Company names and/or LinkedIn company URLs, mixed.
targetTitles	array	built-in EN/ES set	ICP titles to target. Empty = built-in decision-maker set (skipped for >50 companies unless you set titles).
seniorityFilter	array	[]	Seniority buckets expanded into titles: owner, partner, cxo, vp, director, manager, senior, entry, training, unpaid.
location	string	""	Optional location hint to improve relevance.
maxItems	integer	50	Max employees returned per company.
verifyProfiles	boolean	true	Confirm each row's employer/title/location from its own public result (free, recommended).
enrichEmails	boolean	false	Find one contact email per company.
deepVerify	boolean	false	Advanced: also fetch each public profile page (slow / best-effort).
googlePages	integer	3	Result pages per company × title (more = more candidates, higher cost).
startUrls	array	—	Advanced: LinkedIn company URLs via a request list / Google Sheet.
cookies	array	—	Optional: li_at + JSESSIONID to enable authoritative cookie mode.

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Output

One row per person. Example (no-cookie, verified):

{
  "fullName": "Fidji Simo",
  "firstName": "Fidji",
  "lastName": "Simo",
  "headline": "CEO, AGI Deployment at OpenAI",
  "currentTitle": "CEO, AGI Deployment",
  "currentEmployer": "OpenAI",
  "location": "Palo Alto",
  "company": "openai",
  "profileUrl": "https://www.linkedin.com/in/fidjisimo/",
  "publicIdentifier": "fidjisimo",
  "source": "GS",
  "verified": true,
  "confidence": "high",
  "confidenceReason": "Confirmed from the public result — current employer matches \"openai\" and the target title matches.",
  "matchedTitles": ["CEO"],
  "titleMatchType": "exact",
  "scrapedAt": "2026-07-19T00:00:00.000Z"
}

Key output fields

Field	Description
fullName / firstName / lastName	Person's name
headline	Profile headline as indexed
currentTitle	Current job title (parsed & verified)
currentEmployer	Current employer (verified against the target company)
location	Location, when available from the public result
profileUrl / publicIdentifier	LinkedIn profile URL and slug
company	Target company key the row was discovered under
verified	true when the current employer was confirmed
confidence	high / medium / low
confidenceReason	Plain-English explanation of the confidence
matchedTitles / titleMatchType	Which requested titles matched, and how (exact / partial / none)
contactEmail / contactWebsite	Present only when the email finder is enabled
source	GS (public web index) or linkedin-voyager (cookie mode)

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FAQ

Do I need a LinkedIn account or cookie? No. The default mode uses only the public web index — no login, no cookie, no ban risk. Cookie mode is an optional power-user feature.

How is this different from other LinkedIn employee scrapers? Most return raw search matches tagged "low confidence." This actor verifies each match against its own public result, confirms the current employer and title, flags former employees, and tells you why each row got its confidence level.

Will it include people who don't actually work there? Discovery can surface lookalikes and former staff — that's exactly why verification exists. Those rows are labelled medium/low (or flagged as a past role), so you can filter to confidence: high for confirmed current employees.

Can I search by company name instead of URL? Yes. Type the name directly; URLs and names can be mixed in one run.

How do I get contact emails? Enable the email finder (enrichEmails). It's best-effort and adds contactEmail / contactWebsite.

Can AI agents call it? Yes — structured JSON output and an API-first design. Call it from any LLM/automation framework via the Apify API.

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Support

Questions, edge cases, or a custom field you need? Open an issue on the Apify actor page and we'll help.

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Explore More Scrapers

Building a full lead-gen or recruiting pipeline? These pair well with this actor:

• LinkedIn Company Employees — Cookie / Full-Roster Mode — the authoritative version: paste a cookie to pull a company's complete employee roster from LinkedIn's own API.
• LinkedIn Jobs Scraper — job postings by keyword, location, and company. No cookies.
• LinkedIn Profiles Scraper — full profile detail (experience, education, skills) for a list of profile URLs.
• LinkedIn Company About Scraper — company size, industry, HQ, website, and overview.
• LinkedIn Posts Scraper — profile and company posts, no cookies.
• Email Finder & Verifier — find and verify person/company emails and phone numbers.
• Crunchbase Scraper — company profiles, funding rounds, and investors for account research.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or Microsoft. All trademarks mentioned are the property of their respective owners.

The scraper accesses only publicly available information — public web-index results and public profile data — with no authenticated LinkedIn endpoints, paid features, or content behind the LinkedIn login wall used in the default mode. Users are responsible for ensuring their use complies with LinkedIn's Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organization. Scraped personal data must be processed on a lawful basis and used only for legitimate purposes.

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