# Facebook Reviews Scraper (`powerful_bachelor/facebook-reviews-scraper`) Actor

Facebook Reviews Scraper is a powerful tool for extracting detailed customer feedback from Facebook pages. It enables users to analyze ratings, review content, and trends for brand reputation management and market research, exporting data in various formats.

- **URL**: https://apify.com/powerful_bachelor/facebook-reviews-scraper.md
- **Developed by:** [Powerful Bachelor](https://apify.com/powerful_bachelor) (community)
- **Categories:** Social media, Lead generation
- **Features:** Limited permissions
- **Stats:** 85 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.75 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 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

## 📘 Facebook Reviews Scraper

[![Actor status](https://apify.com/actor-badge?actor=powerful_bachelor/Facebook-Review-Scraper)](https://apify.com/powerful_bachelor/Facebook-Review-Scraper)

### 🚀 What is Facebook Reviews Scraper?

Facebook Reviews Scraper is a cutting-edge tool designed for efficiently harvesting reviews from Facebook pages. It stands out as an invaluable resource for businesses, marketers, and researchers aiming to capture and analyze customer feedback directly from Facebook. By extracting reviews, this tool enables users to gain insights into customer satisfaction, service quality, and overall brand reputation.

### 🛠 Key Features

The Facebook Reviews Scraper is equipped with features that ensure a comprehensive extraction of review data for detailed analysis. These features include:

- 📄 **Review Content:** Access the full text of reviews to understand customer opinions, suggestions, and criticisms.
- ⭐ **Ratings:** Extract ratings to quantify customer satisfaction levels and aggregate sentiment.
- 📅 **Review Timestamp:** Obtain the date and time of each review to analyze trends over time.
- 🙍 **Reviewer Information:** Collect data on the reviewers (where available) for demographic analysis and to identify potential brand advocates.
- 📊 **Customizable Data Export:** Effortlessly export data in formats such as JSON, CSV, and Excel, making it easy to integrate into your analysis tools and workflows.

### 🎯 Why Choose Facebook Reviews Scraper?

Choosing Facebook Reviews Scraper empowers you with deep insights from customer feedback:

- 🌟 **Reputation Management:** Monitor and analyze customer reviews to manage and enhance your brand reputation effectively.
- 🎙 **Customer Voice Analysis:** Dive deep into the customer feedback to understand preferences, pain points, and expectations.
- 📈 **Service Improvement:** Use the insights gained from reviews to inform product development, customer service enhancements, and targeted marketing strategies.
- 🔍 **Market Research:** Harness the power of customer reviews to gain a competitive edge with nuanced market insights.

### 📋 Getting Started

Begin extracting valuable review data from Facebook pages with these simple steps:

1. Launch the Facebook Reviews Scraper tool.
2. Input the URL(s) of the Facebook page(s) you are interested in.
3. Select "Save & Start" to commence the scraping process.
4. Download the extracted data in your chosen format, ready for analysis and integration into your strategies.

### 🌟 Elevate Your Insights

Leverage the rich data from Facebook reviews to enhance your decision-making and strategy development. With Facebook Reviews Scraper, you're equipped to harness the power of customer feedback for business growth and success.

# Actor input Schema

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

Insert a review URL of a valid Facebook group. Only public Facebook groups reviews can be scraped.

## `maxResults` (type: `integer`):

Select the number of posts you want to scrape.If this limit is not set, by default 15 posts will be returned

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.facebook.com/allmatters/reviews"
    }
  ],
  "maxResults": 15
}
```

# Actor output Schema

## `results` (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": [
        {
            "url": "https://www.facebook.com/allmatters/reviews"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerful_bachelor/facebook-reviews-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": [{ "url": "https://www.facebook.com/allmatters/reviews" }] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerful_bachelor/facebook-reviews-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/8CXrldZoPwNndIj5y/builds/ShETbYWmgW2N5BcVl/openapi.json