# Extract Social Media Links From a Website

**Use case:** 

This scraper reads every page and pulls the social profile links a site exposes across 14 networks: twitter, facebook, instagram, linkedin, youtube, tiktok, pinterest, github, reddit, snapchat, whatsapp, telegram, medium and discord. Each record ties the links to its current_url and page_title, and a final summary row lists all de-duplicated socials for the domain. Billed per result.

## Input

```json
{
  "Urls": [
    "https://www.blender.org/"
  ],
  "Depth": 2,
  "Total_num": 50,
  "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`).