# Validate and Clean a CSV Email List

**Use case:** 

Upload a CSV email list, detect email columns automatically, and export clean, risky, invalid, disposable, and catch-all addresses.

## Input

```json
{
  "emailAddresses": [
    "hello@example.com",
    "support@example.org",
    "bad@example.invalid"
  ],
  "csvEmailColumn": "email",
  "csvMergeMultipleColumns": true
}
```

## Output

```json
{
  "email": {
    "label": "Email",
    "format": "text"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "deliverable": {
    "label": "Deliverable",
    "format": "boolean"
  },
  "safe_to_send": {
    "label": "Safe To Send",
    "format": "boolean"
  },
  "catch_all": {
    "label": "Catch All",
    "format": "boolean"
  },
  "disposable": {
    "label": "Disposable",
    "format": "boolean"
  },
  "role_account": {
    "label": "Role Account",
    "format": "boolean"
  },
  "free_email": {
    "label": "Free Email",
    "format": "boolean"
  },
  "valid_syntax": {
    "label": "Valid Syntax",
    "format": "boolean"
  },
  "domain": {
    "label": "Domain",
    "format": "text"
  },
  "username": {
    "label": "Username",
    "format": "text"
  },
  "mx_records": {
    "label": "MX Records",
    "format": "array"
  },
  "smtp_connection_success": {
    "label": "SMTP Connection",
    "format": "boolean"
  },
  "mx_accepts_mail": {
    "label": "MX Accepts Mail",
    "format": "boolean"
  },
  "spamtrap": {
    "label": "Spamtrap",
    "format": "boolean"
  },
  "disabled": {
    "label": "Disabled",
    "format": "boolean"
  },
  "inbox_full": {
    "label": "Inbox Full",
    "format": "boolean"
  },
  "type": {
    "label": "Record Type",
    "format": "text"
  },
  "timestamp": {
    "label": "Timestamp",
    "format": "date"
  },
  "total_processed": {
    "label": "Total Processed",
    "format": "number"
  },
  "clean_emails": {
    "label": "Clean Emails",
    "format": "array"
  },
  "risky_emails": {
    "label": "Risky Emails",
    "format": "array"
  },
  "invalid_emails": {
    "label": "Invalid Emails",
    "format": "array"
  },
  "statistics": {
    "label": "Statistics",
    "format": "object"
  },
  "emails_by_status": {
    "label": "Emails By Status",
    "format": "object"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Email List Validator & Cleaner - 99% Accuracy, Bulk API](https://apify.com/clearpath/email-validation-api) with a specific input configuration. Visit the [Actor detail page](https://apify.com/clearpath/email-validation-api) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/clearpath/email-validation-api.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).