LinkedIn Buying-Committee Mapper
Turn one company into its buying committee. Enter a LinkedIn company URL; the Actor finds the senior people who matter and maps each to a committee role — economic buyer, technical buyer, champion, user, or blocker — with title, function, tenure, and profile. No cookies, no login.
Inputs
| Field | Type | Description |
|---|---|---|
company_url |
string | LinkedIn company page URL or slug to map the buying committee for. |
seniority |
array | Optional seniority levels to keep (e.g. cxO, vp, director). Leave empty for all senior people. |
max_members |
integer | Hard cap on people returned. The main runtime and cost control. 1–100. |
What you get
One row per person:
{
"schemaVersion": "1.0",
"checkedAt": "2026-09-25T10:00:00+00:00",
"companyName": "Globex",
"companyUrl": "https://www.linkedin.com/company/globex",
"committeeRole": "economic_buyer",
"rolePriority": 1,
"fullName": "Example Executive",
"jobTitle": "VP Sales",
"seniority": "",
"function": "",
"location": "San Francisco, CA",
"tenureYears": 2.4,
"profileUrl": "https://www.linkedin.com/in/example-executive",
"roleReason": "Executive — owns the budget",
"collectedAt": "2026-09-25T10:00:00+00:00"
}
The OUTPUT key-value-store record reports members found, returned, and the role breakdown.
Pricing
$40.00 per 1,000 results (Free tier)
Actor start: $0.05 per GB
The actor is billed pay-per-result on Apify — you only pay for rows returned. See the live pricing on the Apify listing.
Runnable example
Paste this into the actor’s input (JSON) on Apify and press Start:
{
"company_url": "https://www.linkedin.com/company/example",
"seniority": [],
"max_members": 25
}
Get started
Run LinkedIn Buying-Committee Mapper on Apify →
Categories
Lead Generation, Marketing
▶ Run LinkedIn Buying-Committee Mapper on Apify →
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