# Facebook Groups Scraper - Low-cost💲🔥🌐📘 (`delectable_incubator/facebook-groups-scraper-low-cost`) Actor

Scrape Facebook groups by keyword 🌐📘 with a powerful social media scraper. Extract group names, URLs, images, privacy levels, member counts, and more. Ideal for community discovery, audience research, lead generation, competitor analysis, and social media intelligence 📊🚀

- **URL**: https://apify.com/delectable\_incubator/facebook-groups-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Lead generation, Social media, 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 Groups Scraper" width="100%">
</p>

---

## Facebook Groups Scraper 👥📊🔍

The Facebook Groups Scraper is a powerful and scalable Apify Actor designed to extract structured Facebook group data directly from Facebook search results using keyword-based discovery.

It enables community discovery, lead generation, audience research, competitor analysis, niche monitoring, social media intelligence, and structured Facebook group dataset generation at scale.

---

### 🎯 What This Scraper Does

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

✅ Extracts Facebook groups from keyword searches

✅ Supports bulk keyword scraping

✅ Automatically processes Facebook search results

✅ Collects public group metadata

✅ Extracts member counts and activity information

✅ Captures group privacy settings

✅ Retrieves group profile images and URLs

✅ Generates clean and structured datasets

✅ Ready for analytics and automation workflows

✅ Export-ready output format

---

### 📊 Data Extracted

#### 👥 Facebook Group Information

| Field                            | Description                  |
| -------------------------------- | ---------------------------- |
| 🆔 id                            | Facebook group ID            |
| 🏷️ name                         | Group name                   |
| 🔗 profile_url                   | Facebook group URL           |
| 🖼️ profile_picture              | Group profile image          |
| 🔐 privacy                       | Group privacy level          |
| 👥 members_count                 | Number of members            |
| 📈 posts_activity                | Posting activity             |
| 🌍 name_with_location_descriptor | Group descriptor/location    |
| 📢 members_and_activity          | Members and activity summary |
| 🧩 type                          | Entity type                  |
| 📝 session_id                    | Internal session identifier  |

---

### 🛠 How to Use

#### 1️⃣ Configure Input

Provide one or multiple Facebook keywords:

````

{
"keywords": \[
"fitness",
"real estate",
"startup"
],
"maxItemsPerKeyword": 100
}

```

#### 2️⃣ Run the Actor

• Opens Facebook search results automatically

• Searches groups matching your keywords

• Extracts structured group information

• Collects activity and member metadata

• Applies maxItemsPerKeyword 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

```

{
"keywords": \[
"fitness",
"real estate",
"startup"
],
"maxItemsPerKeyword": 100
}

```

#### Input Fields

| Field              | Type    | Description                                     |
| ------------------ | ------- | ----------------------------------------------- |
| keywords           | array   | List of Facebook search keywords                |
| maxItemsPerKeyword | integer | Maximum number of groups to collect per keyword |

---

### 📤 Output Example

```

{
"id": "958604724929310",
"name": "Call Center for Beginners",
"profile\_url": "https://web.facebook.com/groups/958604724929310/",
"url": "https://web.facebook.com/groups/958604724929310/",
"profile\_picture": "https://...jpg",
"picture\_width": 64,
"picture\_height": 64,
"type": "Group",
"session\_id": "58fe6045-a1c8-4405-a55f-a105b490b8d3",
"logging\_unit\_id": "browse\_rl:17ef96de-1ee3-4053-bc10-0265ac6a6d32",
"tapped\_result\_id": "958604724929310",
"module\_role": "ENTITY\_GROUPS",
"name\_with\_nickname": "Call Center for Beginners",
"name\_with\_location\_descriptor": "Call Center for Beginners",
"members\_and\_activity": "Public · 92K members · 10+ posts a day",
"privacy": "Public",
"members\_count": "92K",
"posts\_activity": "10+ posts a day"
}

````

---

### 📊 Output Explanation

| Use Case                 | Description                                |
| ------------------------ | ------------------------------------------ |
| 📈 Market Research       | Discover trending Facebook communities     |
| 👥 Audience Analysis     | Analyze niche audiences and communities    |
| 💼 Lead Generation       | Find groups related to your business niche |
| 🔍 Competitor Monitoring | Monitor competitor-related communities     |
| 📊 Trend Tracking        | Track active and growing Facebook groups   |
| 🤖 Automation Pipelines  | Feed Facebook group data into workflows    |

---

### 🌍 Why Use This Scraper?

📊 Discover Facebook groups at scale

👥 Extract structured community datasets

🔍 Monitor niche and competitor groups

📈 Analyze group activity and engagement

⚡ Fast and automated extraction

🤖 Automation-ready output

📦 Bulk keyword scraping support

🧠 Ideal for marketers, agencies, analysts, and researchers

🚀 Scalable for both small and enterprise workloads

---

### ❓ FAQ

#### How does this scraper work?

The scraper searches Facebook groups using your provided keywords and extracts structured metadata including names, URLs, member counts, privacy levels, activity statistics, and profile images.

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

Yes. You can provide multiple keywords inside the keywords array.

#### Does the scraper collect member counts?

Yes. Member counts are extracted whenever available.

#### Can I monitor growing groups over time?

Yes. You can schedule recurring Apify runs to monitor new or growing Facebook groups.

#### Is authentication required?

Some Facebook searches may require login/authentication depending on Facebook restrictions.

#### 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, research, lead generation, monitoring, and automation workflows.

#### 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 keywords and requested results.

---

### 🚀 How to Use

1️⃣ Sign up — Create a free Apify account

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

3️⃣ Configure keywords — Add one or multiple Facebook search keywords

4️⃣ Run it — Start the Actor and wait for extraction

5️⃣ 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:** $4.99 / 1,000 results

---

### Related Actors

If you're interested in other Facebook, Social Media, Lead Generation, Analytics, Community Monitoring, or Automation scraping tools, explore more PrimeScrape Actors:

(Coming soon)

---

### 📬 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, enterprise workflows, or bulk extraction services via Apify or by email.

# Actor input Schema

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

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

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

List of keywords to search relevant Facebook groups from. Examples: • cars • marketing • freelance ⚠️ One keyword per entry.
## `max_items_per_keyword` (type: `integer`):

Set the maximum number of Facebook groups to retrieve for each keyword (recommended: 10–100) 🔢

## Actor input object example

```json
{
  "email": "youremail@gmail.com",
  "bulk_keywords": [
    "cars",
    "marketing"
  ],
  "max_items_per_keyword": 70
}
````

# 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_keywords": [
        "cars",
        "marketing"
    ],
    "max_items_per_keyword": 70
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/facebook-groups-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_keywords": [
        "cars",
        "marketing",
    ],
    "max_items_per_keyword": 70,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/facebook-groups-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_keywords": [
    "cars",
    "marketing"
  ],
  "max_items_per_keyword": 70
}' |
apify call delectable_incubator/facebook-groups-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-groups-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Facebook Groups Scraper - Low-cost💲🔥🌐📘",
        "description": "Scrape Facebook groups by keyword 🌐📘 with a powerful social media scraper. Extract group names, URLs, images, privacy levels, member counts, and more. Ideal for community discovery, audience research, lead generation, competitor analysis, and social media intelligence 📊🚀",
        "version": "0.0",
        "x-build-id": "4KnyxR3xgOS2MZt2L"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~facebook-groups-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-facebook-groups-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~facebook-groups-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-facebook-groups-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~facebook-groups-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-facebook-groups-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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_keywords"
                ],
                "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_keywords": {
                        "title": "Keywords to search groups 🔍",
                        "type": "array",
                        "description": "List of keywords to search relevant Facebook groups from. Examples: • cars • marketing • freelance ⚠️ One keyword per entry.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "max_items_per_keyword": {
                        "title": "Maximum number of groups per keyword 🔢",
                        "type": "integer",
                        "description": "Set the maximum number of Facebook groups to retrieve for each keyword (recommended: 10–100) 🔢",
                        "default": 70
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```