LinkedIn Decision-Maker Finder | No Cookies, No Account

Give it a company name. Get back the people at that company who hold a decision-making title — full name, headline and public LinkedIn profile URL.

It never touches LinkedIn. No cookie, no li_at session, no login, no account to be banned. It queries the public search index for indexed LinkedIn profiles, which is why it cannot get your LinkedIn account restricted — you never give it one.

Why "no LinkedIn account" matters

Most LinkedIn people-search tools ask you for a session cookie. That works, and it puts your account at risk: an account ban is not a retryable error, and it takes your network with it.

This actor was built the other way round after measuring the alternatives against live pages:

Approach	Result
linkedin.com/company/<slug>	HTTP 200, but the employees block yields ~1 person; other profile links on the page are incidental mentions, not employees
linkedin.com/company/<slug>/people/	HTTP 200 and zero profile links — the list is client-rendered
Authenticated with a session cookie	Works, and risks the account
Public search index for indexed profiles	18 unique profiles from one query, each with a full name and headline

The last one wins on yield and on risk, so that is what this actor does.

What data do I get?

Field	Description
fullName	The person's full name
firstName / lastName	Name split into parts, ready for mail-merge
headline	Their public headline — usually role and company
profileUrl	Public LinkedIn profile URL
companyName	The company you searched for
matchedTitle	Which of your titles queries produced this person
titleMatched	Whether their headline actually matches that title
seniorityMatched	Whether the headline carries a decision-making seniority signal
companyMatched	Whether their current employer could be confirmed as your target company
looksPastRole	Flag for headlines that read like a former role at the company
scrapedAt	When this run collected the row

The four boolean flags are the product. People-search tools normally hand you a list and leave you to work out which rows are real. This one shows its work per row, so you can set your own precision bar — take only companyMatched && !looksPastRole for outreach, or keep everything for research.

How do I use it?

1. Click Try for free.
2. Set companyName — this is the only required input.
3. Optionally set companyDomain to sharpen the match, and titles to the roles you care about.
4. Click Save & Start.
5. Export as JSON, CSV, Excel or XML from the Storage tab.

Input sample

{
  "companyName": "Northwind Labs",
  "companyDomain": "northwindlabs.com",
  "titles": ["CTO", "VP Engineering", "Head of Infrastructure", "Head of Platform"],
  "maxResults": 25,
  "includeUnmatched": true
}

Input reference

Option	Type	Default	What it does
companyName	string	required	The company to find decision-makers at. Used both as the search term and as the match key.
companyDomain	string	(none)	Strengthens the company match only — it is never used as a search term.
titles	array	engineering and infrastructure leadership	One search per title. More titles means more searches and more coverage.
maxResults	integer	25	Hard cap on people returned across all title queries, up to 200.
includeUnmatched	boolean	true	Keep people whose current employer could not be confirmed, flagged companyMatched: false. On by default so you can measure precision yourself rather than trusting ours.

Output sample

{
  "fullName": "Dana Whitfield",
  "firstName": "Dana",
  "lastName": "Whitfield",
  "headline": "VP of Engineering at Northwind Labs",
  "profileUrl": "https://www.linkedin.com/in/dana-whitfield",
  "companyName": "Northwind Labs",
  "matchedTitle": "VP Engineering",
  "titleMatched": true,
  "seniorityMatched": true,
  "companyMatched": true,
  "looksPastRole": false,
  "scrapedAt": "2026-09-04T09:22:07.443Z"
}

How many people will it find?

It depends on the company, and the honest answer is a range.

Across a 156-company batch, this actor resolved decision-makers at 119 of them — 76%. Large and mid-size companies with a public engineering presence resolve well. Very small companies, stealth startups and companies whose staff keep low-visibility profiles resolve poorly, and no tool can fix that: if the profiles are not publicly indexed, they cannot be found without an account.

maxResults caps the total across all title queries. Each title in titles is one search, so more titles means broader coverage.

Who is this for?

• B2B sales and lead generation — turn a list of target companies into named decision-makers with profile URLs to reference.
• Recruiters mapping the leadership of companies they are sourcing from.
• Founders doing outbound, who need the right person rather than a generic info@ inbox.
• Market and competitive research — who runs engineering at the companies in your category.

Pair it with any company-list source: feed company names in, get decision-makers out.

FAQ

Will my LinkedIn account get banned?

You never give it one. There is no cookie, no session and no login anywhere in this actor. That is the entire design.

Do I need a LinkedIn account at all?

No.

How accurate is the company match?

Every row tells you. companyMatched is true only when the person's current employer could be confirmed as your target; looksPastRole flags headlines that read like a former role. With includeUnmatched: true (the default) you get the unconfirmed rows too, clearly flagged, so you can decide your own bar rather than inheriting ours.

For outreach, filter to companyMatched === true && looksPastRole === false.

Does it return email addresses?

No. It returns names, headlines and public profile URLs. It does not guess, generate or enrich email addresses.

Is this legal? What about GDPR?

This actor returns personal data — named individuals and their public profile URLs. That is what it is for, and it means you carry real obligations.

It collects only what is already publicly indexed and accessible without an account, and it bypasses no login or access control. But publicly available does not mean unregulated: if you are in the EU or processing EU residents' data, GDPR applies, and you need a lawful basis (legitimate interest, for most B2B outreach), you must be able to honour access and erasure requests, and you should not retain data longer than you need it.

We are not able to give you legal advice, and this README is not it. If you are unsure whether your use qualifies, consult your lawyers before you run this at scale. Apify has useful background on the legality of web scraping and on ethical scraping.

Can I export to Excel or Google Sheets?

Yes — JSON, CSV, XML and Excel from the Storage tab, plus a direct Google Sheets integration.

Integrations and API

Trigger runs and collect results via the Apify API, the JavaScript or Python client, or Apify's integrations — Zapier, Make, Slack, Google Drive, GitHub and webhooks. The common pattern is to drive it from a list of target companies and push confirmed decision-makers straight into your CRM.

Support

Missing a title pattern, or seeing a match you disagree with? Open an issue on this actor's Issues tab — the match flags are tunable and real examples help.