# Facebook Like Scraper (`easyapi/facebook-like-scraper`) Actor

Effortlessly scrape likes from Facebook posts. Automates the process of extracting valuable engagement data, including user information and reaction types. Perfect for social media analysts, marketers, and researchers looking to gain insights from Facebook post interactions.

- **URL**: https://apify.com/easyapi/facebook-like-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media
- **Stats:** 264 total users, 1 monthly users, 100.0% runs succeeded, 5 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

from $2.99 / 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/actors/running/actors-in-store.md#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 Like Scraper 👍🔍

### 🚀 Effortlessly Extract Facebook Post Likes

This powerful Apify actor allows you to scrape likes and reactions from Facebook posts with ease. Whether you're conducting social media research, analyzing engagement, or gathering data for marketing purposes, this tool has got you covered!

### 🌟 Key Features

- 📊 Scrape likes and reactions from multiple Facebook posts
- 🚀 High-performance data extraction
- 💾 Seamless data storage with Apify Dataset

### 💡 Use Cases

- 📈 Analyze post engagement and popularity
- 🎯 Identify influential users and potential brand advocates
- 🔍 Conduct market research and sentiment analysis
- 🤝 Compare engagement across different posts or pages

### 🛠️ Input Configuration

Customize your scraping job with these input parameters:

- `postUrls`: Array of Facebook post URLs to scrape
- `maxLikes`: Maximum number of likes to scrape per post (default: 100)

### 📦 Output Data

For each like/reaction, the actor collects:

- Post URL
- User ID
- Username
- User profile URL
- User profile image URL

### 🚀 Getting Started

1. Provide the Facebook post URLs you want to scrape.
2. Run the actor and watch it collect valuable engagement data!

### 📊 Data Analysis Tips

- Use the scraped data to identify your most engaged followers.
- Analyze reaction types to gauge audience sentiment.
- Compare like counts and user demographics across different posts.

Get started with Facebook Like Scraper today and unlock powerful insights from your Facebook posts! 🔓📊🎉

#### Input Example

A full explanation of an input example in JSON.

```
{
    "postUrls": [
        'https://www.facebook.com/groups/1242309506256283/permalink/1929235207563706/?rdid=u11Kdh8DLQWnQZPG'
	],
    "maxLikes": 100
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```
[
	{
		"postUrl": "https://www.facebook.com/groups/1242309506256283/permalink/1929235207563706/?rdid=u11Kdh8DLQWnQZPG",
		"id": "1130919472",
		"userName": "Michael Garcia",
		"userProfileUrl": "https://www.facebook.com/lettysboo",
		"userProfileImageUrl": "https://scontent-ams2-1.xx.fbcdn.net/v/t1.6435-1/35463482_10215204445881068_893012662496002048_n.jpg?stp=cp0_dst-jpg_s80x80&_nc_cat=106&ccb=1-7&_nc_sid=e4545e&_nc_ohc=oZ7OYsxZ1yAQ7kNvgGlEDyI&_nc_ht=scontent-ams2-1.xx&_nc_gid=AbPX6tI8brpaWiqWqXY9In5&oh=00_AYDAT76pK0GJDHGNYod-YYMV3cK1nBZKMLJo3GYqpSnWFQ&oe=6739DBC5"
	},
	{
		"postUrl": "https://www.facebook.com/groups/1242309506256283/permalink/1929235207563706/?rdid=u11Kdh8DLQWnQZPG",
		"id": "769905416",
		"userName": "Louis Ng",
		"userProfileUrl": "https://www.facebook.com/louis.ng.12935",
		"userProfileImageUrl": "https://scontent-ams2-1.xx.fbcdn.net/v/t39.30808-1/399930458_10168063158550417_1655500147055832030_n.jpg?stp=cp0_dst-jpg_s80x80&_nc_cat=104&ccb=1-7&_nc_sid=0ecb9b&_nc_ohc=ljSoY5m5HkAQ7kNvgH1oMNy&_nc_ht=scontent-ams2-1.xx&_nc_gid=AbPX6tI8brpaWiqWqXY9In5&oh=00_AYCbzR2_OFUJczVoibSvX6jaEya-g2kvlHBscgYwaKvEIQ&oe=6718449D"
	},
    ...
]
```

# Actor input Schema

## `postUrls` (type: `array`):

List of Facebook post URLs to scrape likes from

## `maxItems` (type: `integer`):

Maximum number of likes to scrape per post

## Actor input object example

```json
{
  "postUrls": [
    "https://www.facebook.com/groups/1242309506256283/permalink/1929235207563706/?rdid=u11Kdh8DLQWnQZPG"
  ],
  "maxItems": 20
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/facebook-like-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/facebook-like-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 '{}' |
apify call easyapi/facebook-like-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/facebook-like-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/VPMUEE1ji9goqD36d/builds/CQl8uHXgtfdeCIg6C/openapi.json