# Clean a scraped email list: fix, junk and duplicates

**Use case:** 

Ten lines of the kind a scraper leaves behind: mailto: and %20 debris, a name in angle brackets, an image name and a tracking id read as addresses, a placeholder, and two repeats. Returns one cleaned row per unique address with its status and reasons. Change the list for yours. $0.30 per 1,000.

## Input

```json
{
  "emails": [
    "Info@Apify.com",
    "mailto:support@github.com?subject=Hello",
    "%20press@mozilla.org",
    "\"Guido\" <guido@python.org>",
    "u003esecurity@github.com",
    "Jane.Smith@Gmail.COM",
    "logo@2x.png",
    "a1b2c3d4e5f60718293a4b5c6d7e8f90@sentry.wixpress.com",
    "name@example.com",
    "support@github.com",
    "press@mozilla.org"
  ],
  "field": "email",
  "dedupe": true
}
```

## Output

```json
{
  "input": {
    "label": "Input",
    "format": "string"
  },
  "email": {
    "label": "Email",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "reasons": {
    "label": "Reasons",
    "format": "array"
  },
  "fixed_from": {
    "label": "Fixed from",
    "format": "string"
  },
  "junk": {
    "label": "Junk type",
    "format": "string"
  },
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "accepts_mail": {
    "label": "Accepts mail",
    "format": "boolean"
  },
  "mx_provider": {
    "label": "Mail provider",
    "format": "string"
  },
  "did_you_mean": {
    "label": "Did you mean",
    "format": "string"
  }
}
```

## How it works

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

The Email Cleaner: dedupe, fix and flag disposable emails (no SMTP) Actor is ready to run with the inputs already set for "Clean a scraped email list: fix, junk and duplicates". [Sign up or log in](https://console.apify.com/create-task-from-example/SpJAPCz04wiLTiner) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Clean a scraped email list: fix, junk and duplicates" task

The Email Cleaner: dedupe, fix and flag disposable emails (no SMTP) Actor will start running based on the input automatically. You can also change all the input fields, like email addresses, email field in the dataset, and more, to match your specific use case.

### 3. Receive the "Clean a scraped email list: fix, junk and duplicates" 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 input, email, status, 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 a scraped email list: fix, junk and duplicates" task via API](https://apify.com/ochinimus/email-list-cleaner.md).

## About this Actor

This example demonstrates how to use [Email Cleaner: dedupe, fix and flag disposable emails (no SMTP)](https://apify.com/ochinimus/email-list-cleaner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/ochinimus/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/ochinimus/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`).