# Facebook Business Category Mapping Records

**Use case:** 

Export published Page categories and descriptions from Facebook for a taxonomy mapping worksheet based on known businesses. Catalog teams can compare source labels with their own category system after export. The Actor does not classify companies or infer industries when category data is missing.

## Input

```json
{
  "inputList": [
    "https://www.facebook.com/mcdonalds/"
  ]
}
```

## 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`).