Decision Maker Finder — Companies to C-Suite Contacts + Emails

Paste a list of companies. Get back the people who sign the checks — founders, CEOs, CTOs, VPs and directors — each with their LinkedIn profile URL, seniority, location and a verified company contact email. No LinkedIn login, no cookie, zero ban risk.

What it does

One input row = one company, by name (Notion) or website (stripe.com). For each company the actor:

1. Searches public LinkedIn with role-targeted queries — "CEO" "Stripe", "founder" "Stripe", "director" "Stripe" — top of the org chart first. No LinkedIn session anywhere in the pipeline.
2. Reads each public profile page and its structured data (current employer, location, schools, languages, about).
3. Keeps current employees only. Three guards run on every candidate before anything is delivered or billed:
   • people whose profile says another company is their current employer are dropped;
   • "Ex Stripe", "former CFO at…", "previously at…" are dropped;
   • namesake companies are dropped — the CEO of Stripe Media Inc. is not a Stripe decision maker.
4. Finds the company's contact email on the company's own website (optional, on by default) and stamps it on every row.

Delivered rows are guaranteed to match your seniority selection — the level is derived from each person's title and headline, and non-matching profiles are never delivered.

Sample output

Real rows from a run over stripe.com and Notion:

[
  {
    "company": "Stripe",
    "name": "Patrick Collison",
    "summary": "Patrick Collison - Stripe",
    "currentCompany": "Stripe",
    "seniorityLevel": "CXO",
    "profileUrl": "https://www.linkedin.com/in/patrickcollison",
    "contactEmail": "support@stripe.com",
    "contactWebsite": "https://stripe.com",
    "partial": false
  },
  {
    "company": "Stripe",
    "name": "Ricardo Davis",
    "summary": "Managing Director at Stripe",
    "seniorityLevel": "Director",
    "profileUrl": "https://www.linkedin.com/in/ricardo-davis-b71b07236",
    "contactEmail": "support@stripe.com",
    "partial": true
  }
]

Full rows also carry location, schools, languages, about, jobFunction and imageUrl. Export as JSON, CSV, Excel or straight into your CRM through the API.

Input

Field	Type	Default	What it does
companies	array	—	Company names or websites, one per entry. Websites work best — the search is more precise and the email lookup goes straight to that site.
seniorityLevels	array	CXO, Owner, VP, Director	Who counts as a decision maker. Also accepts Partner, Manager, Senior, Entry, Intern.
jobFunctions	array	all	Narrow to functions — Marketing finds CMOs, VPs of Marketing, Marketing Directors.
title	string	—	A custom title searched first at every company, e.g. Head of Partnerships.
location	string	—	Location keyword, useful for multi-office companies.
maxResultsPerCompany	integer	5	Cap per company (max 50).
enrichEmails	boolean	true	Look up each company's contact email on its own website.

Pricing

Event	Price	When
Actor start	$0.005	Per run (per GB of memory)
Decision maker — full profile	$0.015	Complete public profile: employer, location, schools, languages, about
Decision maker — basic	$0.005	LinkedIn blocked the profile page; the row carries name, headline and profile URL recovered from the search result
Company contact email	$0.05	Once per company, only when an email is actually found

Worked example: 20 companies × 5 decision makers with emails ≈ 100 rows. If ~40 parse full, ~60 basic and 12 companies yield an email: 0.005 + 40×0.015 + 60×0.005 + 12×0.05 = $1.51. The same list on a per-contact tool at $0.06–0.14 per row runs $6–14.

What you never pay for: ex-employees, namesake-company people, wrong-seniority profiles (all dropped before delivery), companies where no email was found, and failed lookups.

Honest notes — read before running

• LinkedIn shows full public profiles for only a subset of members. The rest answer with a block from every IP address, permanently — no scraper can fetch those pages without a login. For blocked members you still get the person (name, headline, profile URL) as a partial: true row at the lower basic price.
• Emails are company contact emails (support@, hello@, info@) verified on the company's own website — not guessed personal inboxes. Big SaaS companies often publish none; small and mid-size businesses usually do.
• Yield varies by company. A 10-person startup may have 2 findable decision makers, not 5. You pay per delivered row, so thin companies cost less.
• Generic one-word company names ("Apple", "Notion") attract namesakes; the guards drop them, but a website input (notion.so) always beats a bare name.

FAQ

Do I need a LinkedIn account or cookie? No. The actor only reads public profile pages and search results. There is nothing to ban.

Is this legal? The actor collects publicly available business information — the same pages any logged-out visitor sees. You are responsible for using the data in compliance with local regulations (GDPR/CCPA) for your outreach.

Can I get people's personal email addresses? No — this actor deliberately ships company contact emails found on company websites. Pair the LinkedIn profile URL with your enrichment provider if you need personal inboxes.

How is this different from a LinkedIn people search scraper? A people search takes one query. This actor takes a company list, runs the role ladder per company, applies the current-employee guards, dedupes, and attaches company emails — the lead-gen loop, packaged.

Related actors

• LinkedIn People Search Scraper — free-form people search by keyword, title, company or school
• LinkedIn Jobs Scraper — job postings by search URL
• Instahyre Jobs Scraper — tech hiring signals from Instahyre

Support

Issues and feature requests via the actor's Issues tab — answered within a day.