Company Employees Finder — by LinkedIn URL ✅ No Cookies
Pricing
$2.00 / 1,000 results
Company Employees Finder — by LinkedIn URL ✅ No Cookies
List the employees of any company by its LinkedIn URL, filtered by seniority, department and country. Name, title, seniority, location, LinkedIn URL, skills and education per person. No cookies or account required.
Pricing
$2.00 / 1,000 results
Rating
5.0
(1)
Developer
NeuralVerge
Maintained by CommunityActor stats
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2
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1
Monthly active users
2 days ago
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Company Employees Finder — by LinkedIn URL ✅ No Cookies
List the employees of any company from its LinkedIn URL, filtered by seniority, department and country. Get name, headline, job title, seniority, department, location, LinkedIn URL, skills and education per person. Powered by the Neuralverge API. No cookies or account required.
Ideal for account-based selling, mapping a buying committee, recruiting and org research.
✨ Why this Actor
- 🎯 Org-chart filters —
Director+Sales & Business Development+United Statesgives you exactly the people you need at the account. - 🎓 Rich rows — headline, title, seniority, department, full location, skills, certifications and education per employee.
- 🏢 Several companies per run — pass a list of company URLs; each is searched with the same filters and every row says which company it came from.
- 🍪 No cookies, login or account — never share LinkedIn credentials or risk account restrictions. Everything runs on the Neuralverge backend.
- 📄 Paging for large companies — walk thousands of employees page by page without paying twice for the same people.
- 💳 Simple pricing — $2 per 1,000 results ($0.002 each, one result = one employee). A company that matches nobody
returns a single
no resultrow and costs $0.002. A run that fails is never charged.
🔧 How it works
- Provide one or more companies — LinkedIn company URLs, e.g.
https://www.linkedin.com/company/stripe. - Add filters (optional) — seniority levels, departments, countries — and how many
people per company (
maxResults, up to 100). - Run the Actor. You get one dataset row per employee — or a single
no resultrow for a company whose filters matched nobody. The run log shows how many employees match in total and how many pages there are. Export to CSV, JSON or Excel, or pull it over the Apify API.
Input
| Field | Type | Notes |
|---|---|---|
companyLinkedinUrls | array | LinkedIn company URL(s). Required. |
seniorityLevels | array (dropdown) | C-Level, VP, Director, Manager, Staff, Other. |
departments | array (dropdown) | 22 departments, e.g. Sales & Business Development, Engineering, Finance & Accounting. |
countries | array | Where the employee is located, e.g. United States, Germany. |
maxResults | integer | Employees per company, 1–100. Default 25. |
page | integer | Page of each company's employee list. Page 2 with 25 per page = employees 26–50. Default 1. |
{"companyLinkedinUrls": ["https://www.linkedin.com/company/stripe"],"seniorityLevels": ["Director"],"maxResults": 25,"page": 1}
What you'll receive
One dataset row per employee:
- Company searched —
company - Identity —
fullName,firstName,lastName,headline,about,linkedinUrl - Role —
jobTitle,seniorityLevel,department,jobIsCurrent - Location —
location,city,stateCode,country,countryCode,continent - Background —
skills,certifications,education(degree, school, school LinkedIn URL)
Nulls are normal. Only fields present on the profile are filled — e.g.
aboutorskillscan benull.
Example output (real run)
One employee row from a search of https://www.linkedin.com/company/stripe with
seniorityLevels: ["Director"]:
{"company": "https://www.linkedin.com/company/stripe","fullName": "Leanna Zillner","firstName": "Leanna","lastName": "Zillner","headline": "Financial Services GTM Lead @ Stripe | Private Equity | Investment Banking","about": null,"jobTitle": "Financial Services & Insurance Gtm Lead, North America","seniorityLevel": "Director","department": "Sales & Business Development","jobIsCurrent": true,"linkedinUrl": "https://www.linkedin.com/in/leannaz","location": "New York, NY, United States","city": "New York","stateCode": "NY","country": "United States","countryCode": "US","continent": "North America","skills": null,"certifications": null,"education": [{"degree": "BS","linkedin_url": "https://www.linkedin.com/school/georgia-institute-of-technology","organization": "Georgia Institute of Technology"}]}
Genuine output from a live run — one of 314 Stripe directors matching this search.
When nothing is found
A company whose filters match nobody still returns a row, so a batch never silently loses an input:
| Column | Value |
|---|---|
company | the company URL you submitted |
page | the page you asked for |
found | false |
message | why nothing was returned |
Filter these out with found != false. This row is billed as one result — see Pricing.
Pricing — pay per event
This Actor uses Apify Pay-Per-Event:
| Event | Price | Charged |
|---|---|---|
| Actor start | free | never |
| Result (one employee = one dataset row) | $2 per 1,000 results ($0.002 each) | every employee, including the no result row |
A run that returns 25 employees costs 25 × $0.002 = $0.05; 1,000 employees cost $2.00.
A completed search is billed even when it matches nobody — it writes one explicit
no result row (the company plus found: false and a message), so it costs $0.002. A run
that fails (missing input, bad key, upstream error) writes no row for that company; only the
platform's start fee applies.
Rate limit
There is a ceiling on how fast one Apify account can pull from the Neuralverge backend: 5 requests per second across the Neuralverge Actors. One company is one request, so this is about how many runs you start at once, not about the size of a single run.
Above the ceiling the backend answers HTTP 429. The Actor waits out the Retry-After it asks
for and retries a few times before giving up; a run that does give up is not charged for the
company it could not search.
If you need a higher rate for a bulk job, get in touch.
Free plan limits
Users on any paid Apify plan are not affected by anything in this section.
On the Apify Free plan this Actor may be started 3 times per calendar month per user. A run that finds nothing still counts, because the search is performed either way. Every Neuralverge Actor carries its own allowance — running one never uses up another's.
In addition, on the Free plan a run returns at most 25 employees in total.
When a limit is reached the Actor stops gracefully with a status message naming it; everything resets on the 1st of every month, and any paid Apify plan removes all of it.
Pricing is on top of your Apify platform usage.
Integrations & API
Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel, or fetch on demand through the Apify API. The Actor also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and can be called from any MCP client.
FAQ
Do I need a LinkedIn account or cookies? No. Everything runs on the Neuralverge backend — you never provide credentials or a session.
Can I search several companies at once? Yes — pass multiple company URLs in
companyLinkedinUrls. maxResults and page apply to each company.
Can I pass a company name instead of a URL? No — use the company's LinkedIn URL. Find it with the LinkedIn Company Search actor.
How do I get emails? Feed a returned linkedinUrl into the LinkedIn Email actor.
🔗 Other Neuralverge Actors
- Leads Finder — search people across all companies with title, industry, tech-stack and funding filters.
- LinkedIn Company Employees Scraper — employees with LinkedIn's own filters (title, tenure, years of experience).
- LinkedIn Profile Scraper — the full profile behind any employee's URL.
- LinkedIn Email Scraper — the same profile plus a work email.
- LinkedIn Company Search — find the company pages to feed this Actor.
- More Neuralverge Actors — the full catalogue (LinkedIn, contact data, company registers, reviews): apify.com/neuralverge.
Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.