# Clean an email list: MX, disposable and typos

**Use case:** 

Clean a list of email addresses: check syntax and MX records, flag disposable and role addresses, suggest fixes for domain typos and remove duplicates. No emails are sent. Prefilled with five examples.

## Input

```json
{
  "emails": [
    "jane.doe@gmail.com",
    "sam@gmial.com",
    "info@example.org",
    "promo@mailinator.com",
    "not-an-email"
  ],
  "csvHeader": "auto",
  "includeRiskyInCleanCsv": false
}
```

## Output

```json
{
  "row": {
    "label": "Row",
    "format": "integer"
  },
  "original": {
    "label": "Original",
    "format": "string"
  },
  "normalized": {
    "label": "Normalized",
    "format": "string"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  },
  "reasons": {
    "label": "Reasons",
    "format": "array"
  },
  "hasMx": {
    "label": "Has MX",
    "format": "boolean"
  },
  "isDisposable": {
    "label": "Disposable",
    "format": "boolean"
  },
  "isRoleAddress": {
    "label": "Role address",
    "format": "boolean"
  },
  "typoSuggestion": {
    "label": "Typo fix (domain)",
    "format": "string"
  },
  "duplicateOf": {
    "label": "Duplicate of",
    "format": "string"
  }
}
```

## How it works

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

The Email List Cleaner & Validator (Syntax, MX, Disposable) Actor is ready to run with the inputs already set for "Clean an email list: MX, disposable and typos". [Sign up or log in](https://console.apify.com/create-task-from-example/qFsnPqdIOxOhck0zi) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Clean an email list: MX, disposable and typos" task

The Email List Cleaner & Validator (Syntax, MX, Disposable) Actor will start running based on the input automatically. You can also change all the input fields, like email addresses to validate, CSV has header row, and more, to match your specific use case.

### 3. Receive the "Clean an email list: MX, disposable and typos" 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 row, original, normalized, 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 "Clean an email list: MX, disposable and typos" task via API](https://apify.com/divinxxii/email-list-cleaner.md).

## About this Actor

This example demonstrates how to use [Email List Cleaner & Validator (Syntax, MX, Disposable)](https://apify.com/divinxxii/email-list-cleaner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/divinxxii/email-list-cleaner.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/divinxxii/email-list-cleaner.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`).