Decision Maker Finder

Give it a company domain or name and it returns the people who run that company: name, title, department, seniority, LinkedIn URL, location, and a work email built from the company's naming convention, read off its own site where it publishes one. One row per person, and you pay only for people delivered.

🔍 What does Decision Maker Finder do?

Decision Maker Finder turns a list of companies into a list of people. For each company it reads what two public search engines publish about LinkedIn profiles that name the company, keeps the profiles whose own listing says the person works there, classifies each one by department and seniority, and filters to the departments you asked for. When you give a domain, it also reads the company's own contact and about pages, works out the email naming convention from the addresses published there, and applies it to every person's name.

No LinkedIn page is ever fetched, so there is nothing to log in to and no account at risk. Every fact comes from a public search listing or from the company's own website. It runs on plain HTTP with no browser, which is why a company costs a few seconds and a fraction of a cent.

The official route to the same people is LinkedIn's own people search, and Sales Navigator for filtering by seniority and function. Both are good at one company at a time, and both leave you copying names into a sheet. Decision Maker Finder is for the list: give it fifty domains, choose the departments, and get one table with a title, a LinkedIn URL and an address per person, without a seat, a login or a browser extension, ready for a CRM import or an API call.

📊 What data can I extract?

Field	What it holds
🏢 company	The company name used for the search
🌐 domain	The domain you gave, or null for a bare name
👤 name, firstName, lastName	The person as their public listing shows them
💼 title	The headline they publish, usually their job title
🗂️ roleCategory	leadership, sales, marketing, engineering, product, finance, operations, hr or other
📶 seniority	c-level, vp, director, head, manager, lead or individual
🔗 linkedinUrl	Their public profile URL
📍 location	Location from the listing, when shown
🧾 employerEvidence	The employer named in the listing's Experience field
✅ evidence	Which field tied the person to the company: experience, headline or snippet
✉️ email	The work address built from the naming convention
🔤 emailPattern	The convention used, such as first.last
📊 emailConfidence	Share of the company's published addresses that follow it, 0 to 1
📋 emailCandidates	Every convention applied to the name, the chosen one first
🔎 source	Which engine listed the profile
🕒 foundAt	When the row was produced

💡 Why find decision makers?

• Outbound lists. A list of target accounts becomes a list of named people with titles and addresses, ready for a sequence.
• Account research. Before a call, see who leads sales, product and finance at the company, with the evidence for each.
• Enrichment. Add people to a CRM record that only holds a company name and website.
• Partnerships and PR. Find the head of partnerships or communications rather than writing to info@.
• Recruiting. See who runs engineering or people at a company you are hiring from or selling to.

🚀 How do I use Decision Maker Finder?

1. Paste company domains, one per line. Names work too, but domains give you emails.
2. Pick the departments. Leadership is the default and returns founders, chief officers, vice presidents and directors.
3. Set how many people you want per company and how many search pages to read.
4. Run it. Each row is one person. Download as JSON, CSV or Excel, or read it over the API.

⬇️ Input

{
  "companies": ["monzo.com", "wise.com"],
  "roles": ["leadership", "marketing"],
  "maxPeoplePerCompany": 10,
  "generateEmails": true,
  "searchPages": 2,
  "useProxyOnBlock": true
}

• companies: domains or names, up to 200 per run.
• roles: leadership, sales, marketing, engineering, product, finance, operations, hr, any. Up to three are searched per company.
• maxPeoplePerCompany: 1 to 50. Bounds the bill per company.
• generateEmails: build addresses from the naming convention. Same price either way.
• searchPages: 1 to 3 pages per department, about twenty profiles a page.
• useProxyOnBlock: retry once through Apify Proxy on a fresh address when an engine challenges the request.

⬆️ Output

Table view

Company	Name	Title	Department	Seniority	Email	Confidence	LinkedIn
Monzo	Jane Smith	Chief Marketing Officer	marketing	c-level	jane.smith@monzo.com	1	linkedin.com/in/jane-smith

JSON

{
  "company": "Monzo",
  "domain": "monzo.com",
  "name": "Jane Smith",
  "firstName": "Jane",
  "lastName": "Smith",
  "title": "Chief Marketing Officer",
  "roleCategory": "marketing",
  "seniority": "c-level",
  "linkedinUrl": "https://www.linkedin.com/in/jane-smith-1a2b3c",
  "location": "London",
  "employerEvidence": "Monzo Bank",
  "evidence": "experience",
  "email": "jane.smith@monzo.com",
  "emailPattern": "first.last",
  "emailConfidence": 1,
  "emailCandidates": ["jane.smith@monzo.com", "janesmith@monzo.com", "jsmith@monzo.com"],
  "source": "brave",
  "foundAt": "2026-08-26T09:00:00.000Z"
}

🎯 How attribution works

A search for a company name returns namesakes, former employees, customers and event pages alongside the people you want. Each profile is kept only when the company's distinctive words appear as whole words in the listing's Experience field, in the current headline with no "ex", "former" or "previously" in front, or in the person's own profile summary. A listing whose Experience field names a different employer is dropped whatever the rest of the text says, and so is a search result that is an article or an event rather than the profile itself. The evidence field says which signal matched, and experience is the one to trust most. A person whose only link to the company is a shared surname, or a company whose name is a fragment of another, is dropped.

✉️ How emails are built

When you give a domain, the homepage, contact and about pages are read and every published address is collected. Role addresses such as info@, sales@ and customer.care@ are ignored. The personal ones reveal the convention by shape: jane.smith is first.last, jane_smith is first_last, j.smith is flast. The convention that explains the most addresses is applied to each person, and emailConfidence is the share it explained.

Be realistic about how often that happens. Most company sites publish only role addresses, and on a measured sample of twenty four UK companies, from banks to law firms to agencies, not one published a personal address on its contact or about pages. In that case, which is the usual case, first.last is assumed because it is the most common convention, emailConfidence is 0.2 to say so, and emailCandidates lists every convention so you can verify or try the alternatives. A name that cannot form an address, such as an initial for a surname, leaves email empty. Treat the address as a strong first guess to verify, not as a verified fact.

📏 Limits

Run timeout. A run stops starting new work shortly before its own time limit and finishes cleanly with whatever it has, naming what it did not reach. The Actor's default is 3600 seconds, which is enough for the largest input it accepts. If you set a shorter limit in your own run settings, integration or API call, expect fewer results and a note in the run's status message saying so. You pay per delivered result rather than per minute, so a generous timeout costs you nothing.

• Up to 200 companies per run, 50 people per company, 3 departments per company, 3 search pages per department.
• Each company takes roughly 5 to 20 seconds depending on how many departments and pages you ask for. The run stops starting new companies a minute before its own timeout and the status message says how many were not attempted, so give a 200 company list a timeout of an hour or split it across runs.
• People come from public search listings. A company with few profiles that name it, or a very common name, returns fewer rows. An empty result is reported in the status message, not as a failure.
• Emails are built, not verified. The confidence score and the candidate list are there so you can verify with the tool of your choice.
• Runs stop cleanly at your per run spending cap. Everything delivered before the cap is kept.

⏱️ How long does a run take?

Measured on real runs, so you can tell a normal run from one that has stalled.

Input size	Typical run time
2 companies	about 20 seconds
30 companies	about 4 minutes

The first few seconds of any run are the container starting rather than the work. A run is never silently stuck: progress is logged as it goes, and if it runs out of time it stops early, keeps everything collected so far and says in the status message what was left.

💰 How much does it cost?

Event	Price
Person found	$0.0009
Actor start	$0.00005 per run

Charged once per person delivered. A person costs the same whether one search page or three were read, whether an email was built or not, and whether the company took one engine or two. A company that returns nobody costs nothing beyond the run start.

So ten people at one company cost $0.00905 including the run start, and a list that returns 1,000 people costs $0.90005.

Paid Apify plans pay less per person: $0.000765 on Bronze, $0.00063 on Silver, $0.00054 on Gold, $0.00045 on Platinum and $0.00036 on Diamond. The Apify listing always shows the current rates.

🔌 Integrations

Schedule it to refresh a target account list weekly, chain it after Company Domain Finder so bare company names become domains first, and pass each row's firstName, lastName and domain to the people input of Company Email Finder with verifyMx on, which reads more of the site for the convention and checks the domain can receive mail. Results go to Google Sheets, Airtable, Slack, Make, Zapier or a webhook through Apify integrations.

AI agents can call it through the Apify MCP server as spookyweb/decision-maker-finder. The input schema is the tool definition, the output schema tells the agent where the rows are, and every row carries the evidence field so the agent can judge attribution itself.

🔗 Using Decision Maker Finder with the Apify API

curl -X POST "https://api.apify.com/v2/acts/spookyweb~decision-maker-finder/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["monzo.com"], "roles": ["leadership"], "maxPeoplePerCompany": 10}'

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('spookyweb/decision-maker-finder').call({
  companies: ['monzo.com', 'wise.com'],
  roles: ['leadership', 'sales'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

See the Apify API documentation for scheduling, webhooks and dataset exports.

❓ FAQ

Does it log in to LinkedIn?

No. It never fetches a LinkedIn page. Every person comes from what public search engines already list about public profiles, plus the company's own website for the email convention.

Why did a company return nobody?

Either the search engines list few profiles that name that company, or the people listed did not carry the company in their Experience field, headline or snippet. Try the company's most common trading name, the any department, or three search pages.

How accurate are the emails?

They are built, not verified against the mail server. When the company's site publishes personal addresses the convention is read from them and emailConfidence is the share of addresses it explained. Most sites publish only role addresses, in which case the address is the first.last guess at a confidence of 0.2. Either way emailCandidates gives you the alternatives, and an email verification tool is the right next step before sending.

What does the evidence field mean?

experience means the profile listing names the company as the person's employer, which is the strongest signal. headline means the company appears in their current job headline. snippet means the person's own profile summary names it as their employer. A listing whose experience field names a different employer, a headline or summary that mentions the company only as a past role, and a search result that is an event or article page rather than the profile itself are all left out, so a former employee or a namesake is not delivered and not charged for.

What happens when a search engine blocks the request?

The query is retried once through Apify Proxy on a fresh address when useProxyOnBlock is on. The retry adds nothing to your bill: you pay per person delivered and the proxy usage is carried by the Actor. If both engines still challenge, the company is reported as not searched in the status message and nothing is charged for it.

Can I get everyone at a company, not just leaders?

Yes. Set roles to any, or pick the departments you want, and raise maxPeoplePerCompany and searchPages.

⚖️ Is it legal to use Decision Maker Finder?

It collects information that people publish on a public professional profile and that search engines index, plus contact conventions companies publish on their own websites. That is generally lawful to collect. Personal data is still personal data: if you contact the people it finds, you are responsible for having a lawful basis, honouring opt outs, and complying with GDPR, the UK PECR rules, CAN-SPAM or whichever regime applies to you and to them. Use it for business contact, not for anything a person would find intrusive.

👍 Your feedback

If a company comes back with the wrong people, or a naming convention is read wrongly, open an issue on the Issues tab with the company and what you expected. Custom versions, a different output shape, or an integration built for your pipeline are all possible: get in touch.

🔎 You might also like

• Company Domain Finder: company name in, website out.
• Company Email Finder: the addresses a company publishes, its naming convention and an MX check.
• Company Data Enrichment: firmographics from the company's own site.
• Lead List Enricher: a pasted company list enriched in one run.
• Website Contact Scraper: emails, phones and socials from any website.