# Collect Facebook business Page contact information

**Use case:** 

Extract contact information that businesses publish on their Facebook Pages, including websites, email addresses, phone numbers, and addresses. Use the source-linked records to enrich an existing organization directory after reviewing each field.

## Input

```json
{
  "inputList": [
    "Meta"
  ]
}
```

## Output

```json
{
  "input": {
    "label": "Input",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "id": {
    "label": "ID",
    "format": "string"
  },
  "page_id": {
    "label": "Page ID",
    "format": "string"
  },
  "username": {
    "label": "Username",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "profile_picture_url": {
    "label": "Profile Picture URL",
    "format": "string"
  },
  "cover_picture_url": {
    "label": "Cover Picture URL",
    "format": "string"
  },
  "is_verified": {
    "label": "Is Verified",
    "format": "boolean"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "about": {
    "label": "About",
    "format": "string"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "categories": {
    "label": "Categories",
    "format": "array"
  },
  "followers_count": {
    "label": "Followers Count",
    "format": "integer"
  },
  "followers_text": {
    "label": "Followers Text",
    "format": "string"
  },
  "following_count": {
    "label": "Following Count",
    "format": "integer"
  },
  "following_text": {
    "label": "Following Text",
    "format": "string"
  },
  "likes_count": {
    "label": "Likes Count",
    "format": "integer"
  },
  "talking_about_count": {
    "label": "Talking About Count",
    "format": "integer"
  },
  "were_here_count": {
    "label": "Were Here Count",
    "format": "integer"
  },
  "address": {
    "label": "Address",
    "format": "string"
  },
  "phone": {
    "label": "Phone",
    "format": "string"
  },
  "phones": {
    "label": "Phones",
    "format": "array"
  },
  "email": {
    "label": "Email",
    "format": "string"
  },
  "emails": {
    "label": "Emails",
    "format": "array"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "websites": {
    "label": "Websites",
    "format": "array"
  },
  "rating_text": {
    "label": "Rating Text",
    "format": "string"
  },
  "recommend_percent": {
    "label": "Recommend Percent",
    "format": "integer"
  },
  "reviews_count": {
    "label": "Reviews Count",
    "format": "integer"
  },
  "hours_status": {
    "label": "Hours Status",
    "format": "string"
  },
  "services": {
    "label": "Services",
    "format": "array"
  },
  "price_range": {
    "label": "Price Range",
    "format": "string"
  },
  "creation_date": {
    "label": "Creation Date",
    "format": "string"
  },
  "admin_info": {
    "label": "Admin Info",
    "format": "string"
  },
  "ad_status": {
    "label": "Ad Status",
    "format": "string"
  },
  "is_running_ads": {
    "label": "Is Running Ads",
    "format": "boolean"
  },
  "business_fields.path": {
    "label": "Business Fields / Path",
    "format": "array"
  },
  "business_fields.value": {
    "label": "Business Fields / Value",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [Facebook Page Details Scraper – Business Data](https://apify.com/scrapingmonkey/facebook-page-details-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapingmonkey/facebook-page-details-scraper.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/scrapingmonkey/facebook-page-details-scraper.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`).