# Deep-Crawl a Domain for Every Email

**Use case:** 

Set Depth to 5 and the crawler walks deep into a single domain, following internal links to collect the emails each page publishes. Every record reports current_url, page_title, depth and referrer_url with its emails and phone_numbers, and a closing summary row lists the de-duplicated emails and phone numbers found across the site. Billed per result.

## Input

```json
{
  "Urls": [
    "https://www.apache.org/foundation/contact.html"
  ],
  "Depth": 5,
  "Total_num": 100,
  "Lock_domain": true,
  "Concurrency": 5,
  "Max_urls_per_depth": 200,
  "url_include_patterns": [],
  "url_exclude_patterns": []
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "text"
  },
  "start_url": {
    "label": "Start URL",
    "format": "link"
  },
  "domain": {
    "label": "Domain",
    "format": "text"
  },
  "depth": {
    "label": "Depth",
    "format": "number"
  },
  "referrer_url": {
    "label": "Referrer URL",
    "format": "link"
  },
  "current_url": {
    "label": "Current URL",
    "format": "link"
  },
  "page_title": {
    "label": "Page Title",
    "format": "text"
  },
  "emails": {
    "label": "Emails",
    "format": "array"
  },
  "phone_numbers": {
    "label": "Phone Numbers",
    "format": "array"
  },
  "uncertain_phone_numbers": {
    "label": "Uncertain Phone Numbers",
    "format": "array"
  },
  "twitter": {
    "label": "Twitter/X",
    "format": "array"
  },
  "facebook": {
    "label": "Facebook",
    "format": "array"
  },
  "instagram": {
    "label": "Instagram",
    "format": "array"
  },
  "linkedin": {
    "label": "LinkedIn",
    "format": "array"
  },
  "youtube": {
    "label": "YouTube",
    "format": "array"
  },
  "tiktok": {
    "label": "TikTok",
    "format": "array"
  },
  "pinterest": {
    "label": "Pinterest",
    "format": "array"
  },
  "github": {
    "label": "GitHub",
    "format": "array"
  },
  "reddit": {
    "label": "Reddit",
    "format": "array"
  },
  "snapchat": {
    "label": "Snapchat",
    "format": "array"
  },
  "whatsapp": {
    "label": "WhatsApp",
    "format": "array"
  },
  "telegram": {
    "label": "Telegram",
    "format": "array"
  },
  "medium": {
    "label": "Medium",
    "format": "array"
  },
  "discord": {
    "label": "Discord",
    "format": "array"
  },
  "pages_crawled": {
    "label": "Pages Crawled",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Contact Info Scraper: Pay Per Result](https://apify.com/delicious_zebu/contact-info-scraper-pay-per-result.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/delicious_zebu/contact-info-scraper-pay-per-result.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/delicious_zebu/contact-info-scraper-pay-per-result.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`).