# Extract Emails and Phones from a Pasted Email Thread

**Use case:** 

Paste an email thread or signature block and get every email address, E.164 phone number and link in one table, with shared mailboxes such as info@ and noreply@ removed. Replace the sample text with your own thread, notes or CRM export.

## Input

```json
{
  "texts": [
    "From: Maria Lopez <maria.lopez@northwind-example.com>\nTo: info@northwind-example.com, tom.baker@contoso-example.org\nSubject: Quote request\n\nHi Tom, please call me on +34 612 345 678 or reach the office at +1 (415) 555-2671. Our terms are at https://northwind-example.com/terms. Regards, Maria\n\n--\nMaria Lopez | Sales | noreply@northwind-example.com"
  ],
  "datasetField": "text",
  "extractEmails": true,
  "extractPhones": true,
  "extractUrls": true,
  "extractDomains": false,
  "extractSocialHandles": false,
  "extractIbans": false,
  "defaultRegion": "US",
  "dedupe": "global",
  "lowercaseEmails": true,
  "skipRoleAccounts": true,
  "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 "Extract Emails and Phones from a Pasted Email Thread". [Sign up or log in](https://console.apify.com/create-task-from-example/VbUMwR4DWtzPXCeUf) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Extract Emails and Phones from a Pasted Email Thread" 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 "Extract Emails and Phones from a Pasted Email Thread" 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 "Extract Emails and Phones from a Pasted Email Thread" 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`).