LinkedIn Decision Makers Finder, Owners, Founders, C Level, VPs and Directors by Company

Company in, buying committee out. Give it a LinkedIn company URL or a company name and get back the owners, founders, partners, C level executives, vice presidents and directors, each with a seniority band, a department, the current headline and the public profile URL. You pay $0.022 per decision maker whose own LinkedIn headline names the company you asked for. Everyone below director is skipped before any charge. Rows that cannot be tied to the company are delivered free.

LinkedIn Decision Makers Finder is an Apify Actor that takes a LinkedIn company URL or a company name and returns its decision makers, meaning owners, founders, partners, C level executives, vice presidents and directors, with a seniority band, a department, the current headline and the public profile URL, without a login, cookies or a LinkedIn account. It is built for cold email and lead generation agencies that start from a company list and need the buying committee, for founders doing their own outbound, and for AI agents that need a stable JSON source of decision makers by company.

Decision makers only. Seniority and department filters run before the charge. $22 per 1,000 decision makers. MCP ready for AI agents.

Pricing

Event	Price	You pay when
decision-maker	$0.022	A decision maker is delivered whose own indexed LinkedIn headline names the company you asked for and who passes your seniority and department filter
actor-start	$0.00005	The run starts

$22 per 1,000 decision makers. Classification into seniority band and department is included in the row price. Managers, individual contributors, interns and anyone below director are skipped before any charge. A decision maker that Google returned near your company but whose headline does not name it is delivered with charged set to false and costs nothing.

Worked example. Ten companies, maxDecisionMakersPerCompany left at 10, and the run finds 62 company matched decision makers. You pay 62 times $0.022 plus the start fee, so $1.36 in total.

What counts as a decision maker

Band	Titles that land here	Charged
owner	Owner, Founder, Co-Founder, Proprietor	Yes
partner	Partner	Yes
cxo	CEO, CTO, CFO, COO, CMO, CRO, CIO and any Chief Officer	Yes
vp	VP, Vice President, SVP, EVP	Yes
director	Director, Head of	Yes
manager, senior, entry, training, unpaid, unknown	Everyone else	Never, skipped before charge

Every row also carries a department value from this list. executive, sales, marketing, engineering, data, product, design, finance, hr, legal, support, operations and other. Pass departments to keep only the functions you sell to.

How it works

company URL or name
         |
         v
   Google SERP discovery (Apify GOOGLE_SERP proxy group, no LinkedIn login)
   one base query + grouped title queries (CEO, CTO, Founder, VP, Director ...)
         |
         v
   candidate profiles (name, headline, profile URL)
         |
         v
   classify each headline  ->  seniorityBand + department + isDecisionMaker
         |
         +--- not a decision maker, or outside your bands and departments
         |         -> skipped, never charged
         v
   company match bar. does the person's own headline name this company?
         |
         +--- no  -> delivered free, charged false, confidence low
         v
   yes -> charged decision-maker row ($0.022), confidence medium
         |
         v
   dataset, one row per decision maker
   optional free diff vs your previous run (new decision makers, departures, title changes)

Google may also index a person who merely mentioned the company. That is why the company match bar exists. A row is charged only when the person's own headline names the company. Former staff whose headline reads ex or former next to the company name are not charged.

What data does it extract?

{
  "publicIdentifier": "thegdb",
  "profileUrl": "https://www.linkedin.com/in/thegdb/",
  "fullName": "Greg Brockman",
  "firstName": "Greg",
  "lastName": "Brockman",
  "headline": "President and Co-Founder at OpenAI",
  "isDecisionMaker": true,
  "seniorityBand": "owner",
  "department": "executive",
  "matchedTitles": ["President", "Co-Founder"],
  "titleMatchType": "partial",
  "location": "San Francisco",
  "company": "openai",
  "source": "google-serp-company-matched",
  "confidence": "medium",
  "charged": true,
  "scrapedAt": "2026-09-02T10:15:09.102Z"
}

Field	Type	Description
publicIdentifier	string	LinkedIn profile slug
profileUrl	string	Public profile URL
fullName, firstName, lastName	string	Name as indexed by Google
headline	string	Current headline as indexed by Google
isDecisionMaker	boolean	Always true on decision maker rows
seniorityBand	string	owner, partner, cxo, vp or director
department	string	executive, sales, marketing, engineering, data, product, design, finance, hr, legal, support, operations or other
matchedTitles	string[]	Target titles found in the headline
titleMatchType	string	exact, partial or none
location	string	Location when Google exposes it, often empty
company	string	The company slug you asked for
source	string	google-serp-company-matched or google-serp-unverified
confidence	string	medium when the headline names the company, low otherwise
charged	boolean	true only on billed rows
scrapedAt	string	Scrape time, ISO 8601

What is NOT returned

• Emails and phone numbers. Rows carry the name, headline, profile URL and location. Pair the profile URL with the enrichment step you already use.
• Employees below director. Managers and individual contributors are skipped before any charge. Use LinkedIn Company Employees Scraper when you need the whole company.
• Full work history, education or skills. This ships the current headline.
• Live verification of current employment. The company match bar reads the person's own indexed headline. Rows are tagged confidence medium when the headline names the company and low when it does not.
• Anything from a logged in session. No cookies, no Sales Navigator, no account.

Input

{
  "companies": ["https://www.linkedin.com/company/openai"],
  "seniorityBands": ["owner", "cxo", "vp"],
  "departments": ["sales", "marketing"],
  "maxDecisionMakersPerCompany": 10,
  "location": "United States",
  "compareWithPreviousRun": false
}

Parameter	Type	Required	Default	Description
companies	array	Yes	none	LinkedIn company URLs or company names, up to 200 per run
seniorityBands	array	No	all five	owner, partner, cxo, vp, director. Values outside the set are ignored
departments	array	No	any	executive, sales, marketing, engineering, data, product, design, finance, hr, legal, support, operations, other
targetTitles	array	No	built in set	Titles that expand the Google search. CEO, CTO, CFO, COO, CMO, President, Founder, Co-Founder, Owner, Managing Director plus Spanish equivalents. Pass your own for a narrower ICP
maxDecisionMakersPerCompany	integer	No	10	1 to 50
location	string	No	empty	Location phrase added to the search
searchQuery	string	No	empty	Extra keyword added to the base search
compareWithPreviousRun	boolean	No	false	Free diff row per company vs your previous run
maxConcurrency	integer	No	3	Companies processed in parallel, 1 to 10
proxyConfiguration	object	No	GOOGLE_SERP	Country routing honored, other groups ignored

Use it from AI agents and code

MCP (Claude, Cursor, ChatGPT and any MCP client)

https://mcp.apify.com/?tools=george.the.developer/linkedin-decision-makers-finder

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('george.the.developer/linkedin-decision-makers-finder').call({
  companies: ['https://www.linkedin.com/company/openai'],
  seniorityBands: ['owner', 'cxo', 'vp'],
  maxDecisionMakersPerCompany: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
// every row is a decision maker; items[i].charged tells you which rows were billed

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')

run = client.actor('george.the.developer/linkedin-decision-makers-finder').call(run_input={
    'companies': ['https://www.linkedin.com/company/openai'],
    'departments': ['sales', 'marketing'],
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item['fullName'], item['seniorityBand'], item['department'], item['profileUrl'])

HTTP

curl -X POST "https://api.apify.com/v2/acts/george.the.developer~linkedin-decision-makers-finder/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["https://www.linkedin.com/company/openai"], "maxDecisionMakersPerCompany": 10}'

Monitor new decision makers (free)

Turn on compareWithPreviousRun on a scheduled run and every run adds one free company-diff-summary row per company with the decision makers who appeared since your previous run, the ones who left the list and title changes. A new VP of Sales at a target account is a buying window. Snapshots live in a key value store in your own account and the diff rows are never charged.

{
  "recordType": "company-diff-summary",
  "company": "openai",
  "newDecisionMakers": [
    { "fullName": "Jane Doe", "title": "VP of Sales", "seniorityBand": "vp" }
  ],
  "newDecisionMakersCount": 1,
  "departures": [],
  "titleChanges": []
}

FAQ

Do I need a LinkedIn account or cookies?

No. Discovery runs on Google search through the Apify GOOGLE_SERP proxy group. Nothing logs in to LinkedIn.

Why was a decision maker delivered free?

Because the company match bar was not met. Google returned the person near your company but their own headline does not name it. You get the row with charged false and confidence low and decide for yourself.

Does it return emails?

No. It returns the profile URL, the headline and the classification. Feed the profile URLs to the email finder you already use.

How is this different from LinkedIn Company Employees Scraper?

That Actor returns every employee it can find. This one returns only the buying committee, with seniority and department filters applied before the charge, at a start fee close to zero. Same engine, same company match bar.

What if a company yields no decision makers?

Small companies with few indexed profiles can come back empty. You pay the start fee only.

Can I run many companies at once?

Yes, up to 200 per run. Large lists on the default 20 minute timeout finish gracefully with partial coverage and the log names the suggested batch size.

Can AI agents use it?

Yes. Stable JSON schema, an output view in the Console and the MCP endpoint above.

Related Actors

• LinkedIn Company Employees Scraper at https://apify.com/george.the.developer/linkedin-company-employees-scraper returns the whole company with the same classification fields.
• LinkedIn Company by Domain at https://apify.com/george.the.developer/linkedin-company-by-domain turns a website domain into the LinkedIn company URL you feed into this Actor.

Support

Open an issue on the Issues tab. It is read.