# **OpenAI Email & Phone Extractor** (`dtrungtin/openai-email-phone-extractor`) Actor

Extract email addresses and phone numbers and social links from the page content using AI

- **URL**: https://apify.com/dtrungtin/openai-email-phone-extractor.md
- **Developed by:** [Tin](https://apify.com/dtrungtin) (community)
- **Categories:** AI, Lead generation
- **Stats:** 8 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

#### OpenAI Email & Phone Extractor

OpenAI Email & Phone Extractor is an [Apify actor](https://apify.com/actors) that crawls web pages and uses AI to extract email addresses and phone numbers and social links from the page content. The actor loads web pages, collects their visible text and relevant HTML content, and sends the extracted data to an AI model for intelligent processing. The AI analyzes the content and returns structured contact information such as emails and phone numbers found on the page. It is build on top of [Apify SDK](https://sdk.apify.com/) and you can run it both on [Apify platform](https://my.apify.com) and locally.

- [Input](#input)
- [Output](#output)
- [Compute units consumption](#compute-units-consumption)
- [Epilogue](#epilogue)

#### Input

Input is a JSON object with the following properties:

```javascript
{
    "startUrls": START_URLS,
    "countryCode": COUNTRY_CODE
}
```

Example:

```
{
    "startUrls": [
        {
            "url": "https://example.com/contact"
        }
    ],
    "countryCode": "US"
}
```

#### Output

Output is stored in a dataset. Example:

```
{
  "url": "https://example.com/contact",
  "emails": [
    "info@example.com",
    "support@example.com"
  ],
  "phones": [
    "+1 555-123-4567",
    "+1 555-987-6543"
  ],
  "linkedIns": [
      "http://linkedin.com/company/apify",
      "https://www.linkedin.com/company/apify/"
    ],
    "twitters": [
      "https://x.com/apify"
    ],
    "instagrams": [],
    "facebooks": [],
    "youtubes": []
}
```

#### Compute units consumption

Keep in mind that it is much more efficient to run one longer scrape (at least one minute) than more shorter ones because of the startup time.

The average consumption is **1 Compute unit for 1000 actor pages** scraped

#### Related actors

OpenAI Web Scraper `dtrungtin/openai-web-scraper`

#### Epilogue

Thank you for trying my actor. I will be very glad for a feedback that you can send to my email `dtrungtin@gmail.com`.

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

## `maxPages` (type: `integer`):

Limit of pages to be scraped

## `countryCode` (type: `string`):

Country code used for proxy geolocation (e.g. US, DE, VN).

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://datatracker.ietf.org/doc/html/rfc6761"
    }
  ],
  "maxPages": 10,
  "countryCode": "US"
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://datatracker.ietf.org/doc/html/rfc6761"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dtrungtin/openai-email-phone-extractor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://datatracker.ietf.org/doc/html/rfc6761" }] }

# Run the Actor and wait for it to finish
run = client.actor("dtrungtin/openai-email-phone-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://datatracker.ietf.org/doc/html/rfc6761"
    }
  ]
}' |
apify call dtrungtin/openai-email-phone-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dtrungtin/openai-email-phone-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/G4ZOtXpQxusC9UHiV/builds/TfKFX2sSptfR28DXa/openapi.json