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.

Try it on Apify See example code

users, last 30 days: 1
runs, last 30 days: 4
runs, all time: 7
users, all time: 2

Live figures from Apify's public API, refreshed every hour.

LinkedIn Buying-Committee Mapper specifications

Platform	LinkedIn
Apify actor	`data-slayer/linkedin-buying-committee-mapper`
Price	$40.00 per 1,000 results, plus $0.05 per run start
Inputs	`company_urlsenioritymax_members`
Output	15 documented fields per row
Export formats	JSON, CSV, Excel, XML, HTML
LinkedIn login or cookies	Not required
Integrations	Apify REST API, JavaScript and Python clients, n8n, Make, Zapier
Last updated	September 25, 2026 (version 1.0.4)

Run it from code

Replace the example input with your own. You need an Apify API token, which you can create in your Apify account settings.

POST /v2/acts/data-slayer~linkedin-buying-committee-mapper/run-sync-get-dataset-items

request

curl -X POST "https://api.apify.com/v2/acts/data-slayer~linkedin-buying-committee-mapper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "company_url": "https://www.linkedin.com/company/example"
  }'

each result row15 fields

{
  "schemaVersion": string,
  "checkedAt": string,
  "companyName": string,
  "companyUrl": string,
  "committeeRole": string,
  "rolePriority": integer,
  "fullName": string,
  "jobTitle": string,
  "seniority": string,
  "function": string,
  "location": string,
  "tenureYears": number,
  "profileUrl": string,
  "roleReason": string,
  // + 1 more fields
}

Input parameters

3 parameters you can set for each run.

parameter	type	description
`company_url`required	string	Company URL LinkedIn company page URL or slug to map the buying committee for.
`seniority`	array	Seniority filters Optional seniority levels to keep (e.g. cxO, vp, director). Leave empty for all senior people.
`max_members`	integer	Max committee members Hard cap on people returned. The main runtime and cost control. 1–100. default: 25

Output fields

Each result is one row with these 15 fields, taken from the scraper's dataset schema.

field	type	description
`schemaVersion`	string	Schema version
`checkedAt`	string	Checked at
`companyName`	string	Company
`companyUrl`	string	Company URL
`committeeRole`	string	economic_buyer \| technical_buyer \| champion \| user \| blocker
`rolePriority`	integer	1 = contact first
`fullName`	string	Name
`jobTitle`	string	Job title
`seniority`	string	Seniority
`function`	string	Function
`location`	string	Location
`tenureYears`	number	Tenure (years)
`profileUrl`	string	Profile URL
`roleReason`	string	Why this role
`collectedAt`	string	Collected at

Pricing

Pay-per-event pricing, billed through your Apify account. Where plan tiers are listed, paid Apify plans get a lower price per event.

event	price	per 1,000, by Apify plan
Committee Member Charged once per committee member row written.	$0.04 each	$40.00 on every plan
Actor Start Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).	$0.05 per run	Charged once per run

Questions

How much does LinkedIn Buying-Committee Mapper cost?

LinkedIn Buying-Committee Mapper uses pay-per-event pricing on Apify. The main charge is $0.04 per committee member, which is $40.00 per 1,000. Each run also has a start fee of $0.05.

Do I need to log in to LinkedIn or share cookies?

No. LinkedIn Buying-Committee Mapper works without your LinkedIn login or cookies. You only need an Apify account to run it.

Can I use LinkedIn Buying-Committee Mapper through an API?

Yes. Send a POST request to the Apify API with your input and read the results as JSON, or use Apify's official clients for JavaScript and Python. The code examples on this page are ready to copy.

What data does LinkedIn Buying-Committee Mapper return?

Each result is a structured row. Its dataset schema lists 15 fields, including schemaVersion, checkedAt, companyName, companyUrl, and committeeRole.

What formats can I export?

Results are stored in an Apify dataset. You can read it through the API as JSON, or download it as CSV, Excel, XML or HTML.

LinkedIn Buying-Committee Mapper

LinkedIn Buying-Committee Mapper specifications

Run it from code

Input parameters

Output fields

Pricing

Questions

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