# Facebook Pages Scraper (`competent_clarinet/facebook-pages-scraper`) Actor

Scrapes public Facebook page information (name, followers, contact details, business hours, and more) using the facebook-pages-scraper library. Supports multiple pages per run with configurable concurrency and request pacing.

- **URL**: https://apify.com/competent_clarinet/facebook-pages-scraper.md
- **Developed by:** [Man Mohit verma](https://apify.com/competent_clarinet) (community)
- **Categories:** Lead generation, Social media, Developer tools
- **Features:** Limited permissions
- **Stats:** 8 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

### What does Facebook Pages Scraper do?

Facebook Pages Scraper collects public information from Facebook pages in a single run. For each page it extracts the profile (name, followers, likes, category, contact tiles), optional About and transparency details, business hours, and reels when available.

Use it to enrich lead lists, monitor brand pages, or export structured Facebook page data at scale.

### Features

- Scrape **multiple Facebook pages** in one Actor run
- Accept **URLs, usernames, or numeric page ids** as input
- Fetch optional **About** and **transparency** page details
- Optional **Apify Proxy** support for improved reliability
- Configurable **concurrency** and **request pacing**

### Input

Configure the Actor in the **Input** tab. Main fields:

| Field | Description |
|-------|-------------|
| `pages` | **Required.** Facebook page URLs, usernames, page ids, or objects with `url` and optional `id`. |
| `maxConcurrency` | Max pages scraped in parallel (default: `2`). Keep low to reduce rate limiting. |
| `requestDelaySecs` | Delay before starting each subsequent page (default: `2`). |
| `includeAbout` | Fetch About-tab contact and business details (default: `true`). |
| `includeTransparency` | Fetch transparency tab data (default: `true`). |
| `proxyConfiguration` | Optional proxy settings to improve scraping reliability. |

#### Page examples

Simple list:

```json
[
  "https://www.facebook.com/nike",
  "100065149776209",
  "shrilooms"
]
```

With optional caller ids (echoed in output as `sourceId`):

```json
[
  { "id": "campaign-1", "url": "https://www.facebook.com/nike" }
]
```

Page-only id object:

```json
[
  { "id": "100065149776209" }
]
```

### Output

Results are saved to the default dataset. You can download them as **JSON, CSV, Excel, HTML, XML, or RSS** from the run's **Storage** tab.

Each row is one input page. Main fields include:

| Field | Description |
|-------|-------------|
| `success` | Whether the page was scraped successfully |
| `inputUrl` | Normalized input URL |
| `sourceId` | Your optional caller identifier |
| `pageId` | Facebook profile user id |
| `pageName` | Page username / slug |
| `followers` / `likes` | Numeric counts with text labels |
| `phone`, `email`, `website`, `address` | Contact fields when available |
| `businessHours` / `businessHoursSchedule` | Hours summary and per-day schedule |
| `transparency` | Creation date, ad status, admin info |
| `about` | Structured About-tab data |
| `reels` | Page reels when present |

Failed pages include an `error` message and `success: false`.

### Tips

- Start with **low concurrency** (`2`) and a **request delay** of a few seconds.
- Enable **Apify Proxy** if you see frequent failed requests.
- Pass numeric **page ids** when usernames are unavailable.

# Actor input Schema

## `pages` (type: `array`):

Facebook page URLs, usernames, or page ids to scrape. Each entry may be a URL string (e.g. https://www.facebook.com/nike), a username (e.g. nike), a numeric page id (e.g. 100065149776209), or an object with url and optional id (caller reference). An object may also use id alone when it contains a Facebook page id.

## `maxConcurrency` (type: `integer`):

Maximum number of pages to scrape in parallel. Keep this low to reduce the risk of Facebook rate limiting.

## `requestDelaySecs` (type: `number`):

Delay before starting each subsequent page scrape. Helps pace requests when scraping many pages.

## `includeAbout` (type: `boolean`):

Fetch and parse the page About tab (?sk=about) for additional contact and business details.

## `includeTransparency` (type: `boolean`):

Fetch and parse the transparency tab (?sk=about_profile_transparency) for creation date and ad status.

## `proxyConfiguration` (type: `object`):

Optional fallback proxy. Direct HTML requests are tried first; proxy is used after a login redirect or HTTP 429. Further failures on proxy rotate the session up to 3 times.

## Actor input object example

```json
{
  "pages": [
    "https://www.facebook.com/facebook"
  ],
  "maxConcurrency": 2,
  "requestDelaySecs": 2,
  "includeAbout": true,
  "includeTransparency": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `pages` (type: `string`):

Dataset items with scraped Facebook page information.

# 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 = {
    "pages": [
        "https://www.facebook.com/facebook"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("competent_clarinet/facebook-pages-scraper").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 = {
    "pages": ["https://www.facebook.com/facebook"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("competent_clarinet/facebook-pages-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "pages": [
    "https://www.facebook.com/facebook"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call competent_clarinet/facebook-pages-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,competent_clarinet/facebook-pages-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/650JbtfUMnGoP74Qd/builds/gfBGiVuJR28KA82pG/openapi.json