# Find Obfuscated Emails and Keep One Company's Domain

**Use case:** 

Decode emails that people hide from bots, such as name [at] company [dot] com or name(at)company.com, and keep only the addresses on the company domains you choose. Useful for staff pages copied as text. Replace the text and the domain list with your own.

## Input

```json
{
  "texts": [
    "Our team: Anna Berg - anna.berg [at] fabrikam-example [dot] com; Luis Ortega - luis.ortega(at)fabrikam-example.com; Press desk: press AT fabrikam-example DOT com; Partner contact: sam@adatum-example.net; Reach us on social: https://x.com/fabrikam_example and @fabrikam_support."
  ],
  "datasetField": "text",
  "extractEmails": true,
  "extractPhones": false,
  "extractUrls": false,
  "extractDomains": false,
  "extractSocialHandles": true,
  "extractIbans": false,
  "defaultRegion": "US",
  "dedupe": "global",
  "lowercaseEmails": true,
  "skipRoleAccounts": false,
  "domainAllowList": [
    "fabrikam-example.com"
  ],
  "contextChars": 60,
  "maxItems": 1000,
  "maxSources": 1000,
  "maxFileSizeMb": 25,
  "maxPdfPages": 200,
  "maxCharsPerSource": 2000000,
  "concurrency": 4,
  "timeoutSecs": 30
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "string"
  },
  "value": {
    "label": "Value",
    "format": "string"
  },
  "normalised": {
    "label": "Normalised",
    "format": "string"
  },
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "count": {
    "label": "Count",
    "format": "integer"
  },
  "sourceCount": {
    "label": "Sources",
    "format": "integer"
  },
  "source": {
    "label": "First source",
    "format": "string"
  },
  "context": {
    "label": "Context",
    "format": "string"
  },
  "details": {
    "label": "Details",
    "format": "object"
  },
  "sources": {
    "label": "All sources",
    "format": "array"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

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

The Email Extractor from Text: Emails, Phones & URLs from Any Text Actor is ready to run with the inputs already set for "Find Obfuscated Emails and Keep One Company's Domain". [Sign up or log in](https://console.apify.com/create-task-from-example/vEp4v0Usi6hsMtDJo) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find Obfuscated Emails and Keep One Company's Domain" task

The Email Extractor from Text: Emails, Phones & URLs from Any Text Actor will start running based on the input automatically. You can also change all the input fields, like texts to scan, dataset field, and more, to match your specific use case.

### 3. Receive the "Find Obfuscated Emails and Keep One Company's Domain" 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 type, value, normalised, 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 "Find Obfuscated Emails and Keep One Company's Domain" task via API](https://apify.com/data-done-right/email-extractor-from-text.md).

## About this Actor

This example demonstrates how to use [Email Extractor from Text: Emails, Phones & URLs from Any Text](https://apify.com/data-done-right/email-extractor-from-text.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data-done-right/email-extractor-from-text.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/data-done-right/email-extractor-from-text.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`).