# US Sales Leaders with Emails at $1.50 per 1,000

**Use case:** 

VPs and heads of sales at US companies with 50 to 500 employees, each with a live work or personal email and the LinkedIn URL, at one price on every Apify plan. A send-ready list for SDR teams.

## Input

```json
{
  "jobTitles": [
    "vp sales",
    "head of sales"
  ],
  "countries": [
    "us"
  ],
  "maxResults": 100,
  "emailType": "any",
  "companySizeMin": 50,
  "companySizeMax": 500
}
```

## Output

```json
{
  "fullName": {
    "label": "Name",
    "format": "string"
  },
  "firstName": {
    "label": "First name",
    "format": "string"
  },
  "lastName": {
    "label": "Last name",
    "format": "string"
  },
  "email": {
    "label": "Email",
    "format": "string"
  },
  "workEmail": {
    "label": "Work email",
    "format": "string"
  },
  "personalEmail": {
    "label": "Personal email",
    "format": "string"
  },
  "companyDomain": {
    "label": "Company domain",
    "format": "string"
  },
  "linkedinUrl": {
    "label": "Profile",
    "format": "string"
  }
}
```

## How it works

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

The Leads Scraper ✅ $1.50/1k with Emails | Apollo, Lusha, ZoomInfo Actor is ready to run with the inputs already set for "US Sales Leaders with Emails at $1.50 per 1,000". [Sign up or log in](https://console.apify.com/create-task-from-example/KAZgcvykYCtsbhvf2) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "US Sales Leaders with Emails at $1.50 per 1,000" task

The Leads Scraper ✅ $1.50/1k with Emails | Apollo, Lusha, ZoomInfo Actor will start running based on the input automatically. You can also change all the input fields, like job titles, countries, and more, to match your specific use case.

### 3. Receive the "US Sales Leaders with Emails at $1.50 per 1,000" 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 name, first name, last name, 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 "US Sales Leaders with Emails at $1.50 per 1,000" task via API](https://apify.com/b2bsearch/leads-scraper-with-emails.md).

## FAQ

### What does the flat price mean?

The US sales leaders task charges $0.0015 per delivered lead whatever your Apify plan is; people without a live email, repeats and note rows cost nothing.

### What does each row carry?

Name, title, company, domain, headcount, industry, a live work or personal email, the LinkedIn URL and whether a mobile number is on record.

### How do I get only new people each week?

Schedule the US sales leaders task weekly and select earlier runs' datasets in Skip people from earlier runs; everyone already delivered is left out and never charged again.

## About this Actor

This example demonstrates how to use [Leads Scraper ✅ $1.50/1k with Emails | Apollo, Lusha, ZoomInfo](https://apify.com/b2bsearch/leads-scraper-with-emails.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/b2bsearch/leads-scraper-with-emails.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/b2bsearch/leads-scraper-with-emails.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`).