# Facebook Posts Scraper (`scrapeai/facebook-posts-scraper`) Actor

Scrape public Facebook posts, timestamps, engagement counts, and media attachments.

- **URL**: https://apify.com/scrapeai/facebook-posts-scraper.md
- **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community)
- **Categories:** Social media, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Facebook Posts Scraper

Scrape Facebook posts from profiles, pages, groups, and search results with engagement metrics and attachment metadata.

### Features

- **Post Content & Metadata**: Extracts Post ID, Post URL, Author Name, Profile URL, Avatar URL, Post Text, and Timestamps.
- **Engagement Analytics**: Captures Likes Count, Comments Count, Shares Count, and Reaction Breakdown (Like, Love, Wow, Haha, Sad, Angry).
- **Attachments & Flags**: Includes media attachments, hashtags, Pinned post status, and Sponsored ad status.
- **Strict Data Quality**: Automatic zero-null validation ensuring complete JSON records.

***

### Input Parameters

Provide input in `INPUT.json` or via Apify Console form:

```json
{
  "startUrls": [
    "https://www.facebook.com/zuck"
  ],
  "maxPosts": 50
}
```

| Parameter | Type | Description | Default / Example |
| :--- | :--- | :--- | :--- |
| `startUrls` | Array of Strings | List of Facebook profile/page/group URLs to scrape | `["https://www.facebook.com/zuck"]` |
| `maxPosts` | Integer | Maximum number of posts to collect per URL | `50` |

***

### Output Data Structure

The Actor pushes structured objects to the default Apify Dataset:

```json
{
  "postId": "101149283749201",
  "postUrl": "https://facebook.com/posts/101149283749201",
  "authorName": "Mark Zuckerberg",
  "authorUrl": "https://facebook.com/zuck",
  "authorAvatarUrl": "https://facebook.com/avatar/sample.jpg",
  "postText": "Excited to share our latest breakthroughs in AI models and web platform infrastructure.",
  "timestamp": "2026-08-05T14:30:00.000Z",
  "likesCount": 4200,
  "commentsCount": 850,
  "sharesCount": 320,
  "reactionsBreakdown": {
    "like": 3500,
    "love": 500,
    "wow": 150,
    "haha": 30,
    "sad": 10,
    "angry": 10
  },
  "attachments": [
    {
      "type": "image",
      "url": "https://facebook.com/media/sample_post.png"
    }
  ],
  "hashtags": ["#AI", "#Innovation", "#Technology"],
  "isPinned": false,
  "isSponsored": false
}
```

***

### How to Run

Run locally using Apify CLI:

```bash
apify run
```

Or deploy to Apify Platform:

```bash
apify push
```

# Actor input Schema

## `startUrls` (type: `array`):

List of URLs to scrape posts from

## `maxPosts` (type: `integer`):

Maximum posts per URL

## Actor input object example

```json
{
  "startUrls": [
    "https://www.facebook.com/zuck"
  ],
  "maxPosts": 50
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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 = {
    "startUrls": [
        "https://www.facebook.com/zuck"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeai/facebook-posts-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 = { "startUrls": ["https://www.facebook.com/zuck"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapeai/facebook-posts-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 '{
  "startUrls": [
    "https://www.facebook.com/zuck"
  ]
}' |
apify call scrapeai/facebook-posts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeai/facebook-posts-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/eOscbFuWhlVzFdAxs/builds/iIrgVeCnN0cUadkmt/openapi.json