# Facebook Comments Scraper - Low-cost💲🔥💬📘 (`delectable_incubator/facebook-comments-scraper-low-cost`) Actor

Scrape comments from public Facebook posts 💬📘 with a powerful social media scraper. Extract author details, comment text, timestamps, replies, and comments from posts, images, and videos. Ideal for sentiment analysis, audience insights, engagement tracking, and social media research 📊🚀

- **URL**: https://apify.com/delectable\_incubator/facebook-comments-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Social media, Lead generation, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Facebook Comments Scraper" width="100%">
</p>

---

## Facebook Comments Scraper 💬📘

The Facebook Comments Scraper is a powerful and scalable Apify Actor designed to extract structured comment data directly from Facebook posts, photos, videos, reels, and watch pages.

It enables social media monitoring, audience analysis, sentiment analysis, engagement tracking, competitor research, influencer monitoring, NLP training, and structured Facebook comment dataset generation.

---

### 🎯 What This Scraper Does

Simply provide one or multiple Facebook URLs and the scraper handles everything automatically.

✅ Extracts Facebook comments from posts, photos, videos, and reels

✅ Supports bulk URL scraping

✅ Automatically processes Facebook comment threads

✅ Handles pagination automatically

✅ Supports authenticated scraping

✅ Extracts author profile information

✅ Captures comment metadata and timestamps

✅ Collects profile images and profile URLs

✅ Generates clean and structured datasets

✅ Ready for analytics and monitoring workflows

✅ Export-ready output format

---

### 📊 Data Extracted

#### 💬 Comment Information

| Field                  | Description                        |
| ---------------------- | ---------------------------------- |
| 🆔 commentId           | Unique Facebook comment identifier |
| 💬 commentText         | Comment content                    |
| 👤 authorName          | Comment author name                |
| 🆔 authorId            | Facebook profile ID                |
| 🌐 authorProfileUrl    | Author profile URL                 |
| 🖼️ authorProfileImage | Author profile image               |
| ⚧️ authorGender        | Author gender when available       |
| 📅 creationDate        | Comment publication date           |
| 🔗 commentUrl          | Direct comment URL                 |
| 🌍 sourceUrl           | Original Facebook post URL         |

---

### 🛠 How to Use

#### 1️⃣ Configure Input

Provide one or multiple Facebook URLs:

````

{
"bulk\_urls": \[
"https://www.facebook.com/Cristiano/posts/pfbid02jgAhtszSyC6B5wxgHFEPfsa53jE1MCChdoFieDeSJLyVSSNPcP3g9HGhLncupDsal"
],
"max\_comments\_per\_url": 100
}

```

#### 2️⃣ Run the Actor

• Loads Facebook posts, photos, reels, or watch pages

• Processes comment threads automatically

• Extracts structured comment information

• Collects author metadata and timestamps

• Applies max_comments_per_url limits

• Stops automatically when limits are reached

#### 3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON
✅ CSV
✅ Excel
✅ XML
✅ HTML

---

### ⚙️ Input Configuration

#### 📥 Input Example

```

{
"email": "yourfacebook@email.com",
"password": "yourpassword",
"bulk\_urls": \[
"https://www.facebook.com/Cristiano/posts/pfbid02jgAhtszSyC6B5wxgHFEPfsa53jE1MCChdoFieDeSJLyVSSNPcP3g9HGhLncupDsal"
],
"max\_comments\_per\_url": 100
}

```

#### Input Fields

| Field                | Type    | Description                        |
| -------------------- | ------- | ---------------------------------- |
| email                | string  | Facebook account email             |
| password             | string  | Facebook account password          |
| bulk_urls            | array   | List of Facebook URLs to scrape    |
| max_comments_per_url | integer | Maximum number of comments per URL |

---

### 📤 Output Example

```

{
"commentId": "Y29tbWVudDoxMTg3MzkyNDY5NDEzOTU4XzE5OTAyOTIwMjQ3NTI3ODA=",
"commentText": "Let’s go bro 💯💯💯",
"authorName": "Chris B",
"authorId": "100044444919161",
"authorProfileUrl": "https://www.facebook.com/TheRealChrisB",
"authorGender": "MALE",
"authorProfileImage": "https://facebook-profile-image.jpg",
"creationDate": "2024-10-15 21:28:05",
"commentUrl": "https://www.facebook.com/comment-url"
}

````

---

### 📊 Output Explanation

| Use Case                   | Description                               |
| -------------------------- | ----------------------------------------- |
| 📈 Social Media Monitoring | Track audience engagement and discussions |
| 💬 Sentiment Analysis      | Analyze customer opinions and reactions   |
| 🏁 Competitor Research     | Monitor comments on competitor content    |
| 🧠 AI & NLP Training       | Build structured text datasets            |
| 📊 Community Analysis      | Study audience behavior and interactions  |
| 🤖 Automation Pipelines    | Feed comments into analytics workflows    |

---

### 🌍 Why Use This Scraper?

💬 Extract Facebook comments at scale

📈 Analyze audience engagement and trends

🏁 Monitor competitor communities and reactions

🌍 Scrape comments from posts, photos, reels, and videos

⚡ Fast and automated extraction

🤖 Automation-ready structured output

📦 Bulk URL scraping support

🧠 Ideal for marketers, analysts, researchers, and agencies

🚀 Scalable for small and enterprise workloads

---

### ❓ FAQ

#### How does this scraper work?

The scraper loads Facebook URLs and extracts structured comment information including comment text, author details, profile URLs, profile images, and publication dates.

#### Can I scrape multiple URLs in one run?

Yes. You can provide multiple Facebook URLs inside the bulk_urls array.

#### What types of Facebook URLs are supported?

The scraper supports:

• Facebook posts (/posts/)

• Facebook photos (/photo/)

• Facebook reels

• Facebook watch videos (/watch/)

#### Does the scraper support authenticated scraping?

Yes. Facebook account credentials can be provided for restricted content access.

#### Can I limit the number of comments?

Yes. Use the max_comments_per_url parameter.

#### Is the data collected live?

Yes. Data is extracted directly from Facebook during every run.

#### What export formats are supported?

JSON, CSV, Excel, XML, and HTML.

#### Can I use the extracted data commercially?

Yes. The extracted data can be used for analytics, monitoring, research, automation, and commercial applications.

#### What happens if the scraper fails?

The Actor includes retry mechanisms and automated error handling to improve reliability.

#### How long does a run take?

Most runs complete within minutes depending on the number of URLs and requested comments.

---

### 🚀 How to Use

1️⃣ Sign up — Create a free Apify account

2️⃣ Find the tool — Search for "Facebook Comments Scraper" in the Apify Store

3️⃣ Configure URLs — Add one or multiple Facebook URLs

4️⃣ Set extraction limits — Configure max comments per URL

5️⃣ Run it — Start the Actor and wait for extraction

6️⃣ Export data — Download results in JSON, CSV, Excel, XML, or HTML

---

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Facebook or Meta Platforms Inc.

---

### 💸 Pricing

This scraper runs on a **pay-per-result pricing model**.

You only pay for successfully extracted records.

💳 **Price:** $2.89 / 1,000 results

---

### Related Actors

If you're interested in other Social Media, Analytics, Lead Generation, or Monitoring scraping solutions, explore more tools:


---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

---

### 🌍 PrimeScrape

Built for scalable web data extraction & automation.

Contact us for custom scraping solutions or enterprise requests via Apify or email.

# Actor input Schema

## `email` (type: `string`):

Your Facebook account email address 📧
## `password` (type: `string`):

Your Facebook account password 🔒
## `bulk_urls` (type: `array`):

List of Facebook post URLs to scrape comments from. Examples: • https://www.facebook.com/Cristiano/posts/xxx • https://www.facebook.com/watch/?v=xxx ⚠️ Each URL must be from facebook.com.
## `max_comments_per_url` (type: `integer`):

The maximum number of comments to fetch for each URL 🔢

## Actor input object example

```json
{
  "email": "youremail@gmail.com",
  "bulk_urls": [
    "https://www.facebook.com/Cristiano/posts/pfbid02jgAhtszSyC6B5wxgHFEPfsa53jE1MCChdoFieDeSJLyVSSNPcP3g9HGhLncupDsal"
  ],
  "max_comments_per_url": 100
}
````

# Actor output Schema

## `overview` (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 = {
    "email": "youremail@gmail.com",
    "bulk_urls": [
        "https://www.facebook.com/Cristiano/posts/pfbid02jgAhtszSyC6B5wxgHFEPfsa53jE1MCChdoFieDeSJLyVSSNPcP3g9HGhLncupDsal"
    ],
    "max_comments_per_url": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/facebook-comments-scraper-low-cost").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 = {
    "email": "youremail@gmail.com",
    "bulk_urls": ["https://www.facebook.com/Cristiano/posts/pfbid02jgAhtszSyC6B5wxgHFEPfsa53jE1MCChdoFieDeSJLyVSSNPcP3g9HGhLncupDsal"],
    "max_comments_per_url": 100,
}

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

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

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

```

## CLI example

```bash
echo '{
  "email": "youremail@gmail.com",
  "bulk_urls": [
    "https://www.facebook.com/Cristiano/posts/pfbid02jgAhtszSyC6B5wxgHFEPfsa53jE1MCChdoFieDeSJLyVSSNPcP3g9HGhLncupDsal"
  ],
  "max_comments_per_url": 100
}' |
apify call delectable_incubator/facebook-comments-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/facebook-comments-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Facebook Comments Scraper - Low-cost💲🔥💬📘",
        "description": "Scrape comments from public Facebook posts 💬📘 with a powerful social media scraper. Extract author details, comment text, timestamps, replies, and comments from posts, images, and videos. Ideal for sentiment analysis, audience insights, engagement tracking, and social media research 📊🚀",
        "version": "0.0",
        "x-build-id": "sCACQwYOSgp4tvFYa"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~facebook-comments-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-facebook-comments-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~facebook-comments-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-facebook-comments-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~facebook-comments-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-facebook-comments-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "email",
                    "password",
                    "bulk_urls"
                ],
                "properties": {
                    "email": {
                        "title": "Facebook account email 📧",
                        "type": "string",
                        "description": "Your Facebook account email address 📧"
                    },
                    "password": {
                        "title": "Facebook account password 🔒",
                        "type": "string",
                        "description": "Your Facebook account password 🔒"
                    },
                    "bulk_urls": {
                        "title": "Post URLs 🚨 (preferably containing /posts/, /photo or /watch)",
                        "type": "array",
                        "description": "List of Facebook post URLs to scrape comments from. Examples: • https://www.facebook.com/Cristiano/posts/xxx • https://www.facebook.com/watch/?v=xxx ⚠️ Each URL must be from facebook.com.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "max_comments_per_url": {
                        "title": "Max comments per URL 🔢",
                        "type": "integer",
                        "description": "The maximum number of comments to fetch for each URL 🔢",
                        "default": 100
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```