# Map the HR buying committee for an HR software target list

**Use case:** 

Give the domains of companies you want to sell HR software to, choose HR as the buying team, and get the likely buyer, champions, evaluators and blockers at each one with title, department and profile URL. Roles are guessed from titles, not confirmed.

## Input

```json
{
  "items": [
    "airbnb.com",
    "doordash.com",
    "atlassian.com"
  ],
  "buyerType": "hr",
  "maxPeoplePerDomain": 10,
  "limit": 30,
  "includeAudit": false
}
```

## Output

```json
{
  "companyDomain": {
    "label": "Company domain",
    "format": "string"
  },
  "committeeRole": {
    "label": "Committee role",
    "format": "string"
  },
  "roleBasis": {
    "label": "Why this role",
    "format": "string"
  },
  "fullName": {
    "label": "Name",
    "format": "string"
  },
  "jobTitle": {
    "label": "Title",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "department": {
    "label": "Department",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "startYear": {
    "label": "In role since",
    "format": "integer"
  },
  "hasWorkEmail": {
    "label": "Work email on file",
    "format": "boolean"
  },
  "hasPersonalEmail": {
    "label": "Personal email on file",
    "format": "boolean"
  },
  "lowSignal": {
    "label": "Thin profile",
    "format": "boolean"
  },
  "connections": {
    "label": "Connections",
    "format": "integer"
  },
  "headline": {
    "label": "Headline",
    "format": "string"
  },
  "profileUrl": {
    "label": "Profile",
    "format": "string"
  },
  "slug": {
    "label": "Profile slug",
    "format": "string"
  },
  "updatedAt": {
    "label": "Updated",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Buying Committee Map - Buyers, Champions, Blockers by Domain Actor is ready to run with the inputs already set for "Map the HR buying committee for an HR software target list". [Sign up or log in](https://console.apify.com/create-task-from-example/ls4W46PfvZezQ5dLt) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Map the HR buying committee for an HR software target list" task

The Buying Committee Map - Buyers, Champions, Blockers by Domain Actor will start running based on the input automatically. You can also change all the input fields, like which companies? (domains, website urls or emails), who buys your product? (buyer type), and more, to match your specific use case.

### 3. Receive the "Map the HR buying committee for an HR software target list" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as company domain, committee role, why this role, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Map the HR buying committee for an HR software target list" task via API](https://apify.com/b2bdata/buying-committee-map.md).

## FAQ

### What does the HR buying committee map return?

The HR buying committee map returns committee members per domain: committee role, why that role was assigned, job title, seniority, department, location and the profile URL.

### What input does the HR software committee task need?

This task needs company domains, HR as the buyer type, and optional caps on people per domain and on the total rows. A domain that has too few matching people returns a notice instead of members.

### How do I schedule the HR committee map or export it to Google Sheets?

Run the HR buying committee task through the Apify API, put it on a schedule in Apify Console, or start it by hand. Export the dataset as CSV or JSON and open it in Google Sheets or Excel.

### Does the HR committee task return email addresses?

The HR committee task does not return email addresses. It tells you who to approach at each company and at what level. Chain it with an email finder to look up work emails for the people you choose.

## About this Actor

This example demonstrates how to use [Buying Committee Map - Buyers, Champions, Blockers by Domain](https://apify.com/b2bdata/buying-committee-map.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/b2bdata/buying-committee-map.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/b2bdata/buying-committee-map.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).