# Size up fintech target accounts by team and seniority

**Use case:** 

Look up fintech companies by domain and see how many people work there, split by department and seniority. Provide domains like plaid.com or brex.com; get one row per company to prioritize accounts by org size.

## Input

```json
{
  "items": [
    "plaid.com",
    "brex.com",
    "ramp.com",
    "wise.com"
  ],
  "limit": 10,
  "includeAudit": false
}
```

## Output

```json
{
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "totalHeadcount": {
    "label": "Total headcount",
    "format": "integer"
  },
  "topDepartment": {
    "label": "Top department",
    "format": "string"
  },
  "departments": {
    "label": "Departments",
    "format": "object"
  },
  "seniority": {
    "label": "Seniority",
    "format": "object"
  },
  "classifiedHeadcount": {
    "label": "People in a department",
    "format": "integer"
  },
  "asOf": {
    "label": "As of",
    "format": "string"
  }
}
```

## How it works

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

The Company Org Size by Department - Headcount by Domain Actor is ready to run with the inputs already set for "Size up fintech target accounts by team and seniority". [Sign up or log in](https://console.apify.com/create-task-from-example/TA7n9D4Cg1SUerKRg) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Size up fintech target accounts by team and seniority" task

The Company Org Size by Department - Headcount 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), max domains to look up, and more, to match your specific use case.

### 3. Receive the "Size up fintech target accounts by team and seniority" 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 domain, company, total headcount, 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 "Size up fintech target accounts by team and seniority" task via API](https://apify.com/b2bdata/headcount-by-department.md).

## FAQ

### What columns come back in the fintech account research task?

The fintech account sizing task returns total headcount, a department breakdown, a seniority breakdown and the top department for each domain, one row per company.

### Can I paste website URLs instead of bare domains?

The fintech account sizing task accepts bare domains, full website URLs or email addresses in the items list. URLs and emails are reduced to the company domain before the lookup.

### How do I run the fintech account sizing task from the API or a schedule?

The fintech account sizing task runs from the Apify Console, through the API, or on a schedule. Results export as JSON or CSV, so they open directly in Google Sheets or load into a CRM.

### How do sales teams use department headcount for fintech accounts?

The fintech account sizing task helps sales teams rank target accounts by size and see which department is largest, so outreach to engineering, sales or ops teams can be planned per account.

## About this Actor

This example demonstrates how to use [Company Org Size by Department - Headcount by Domain](https://apify.com/b2bdata/headcount-by-department.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/b2bdata/headcount-by-department.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/headcount-by-department.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`).