# Facebook Email Scraper (`scrapapi/facebook-email-scraper`) Actor

- **URL**: https://apify.com/scrapapi/facebook-email-scraper.md
- **Developed by:** [ScrapAPI](https://apify.com/scrapapi) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## 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/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

A facebook email scraper helps you quickly collect public email addresses from Facebook profiles in a structured and efficient way 📩. Whether you're using a facebook email scraper free, a facebook email scraper app, or an online tool, it simplifies outreach, partnerships, and contact discovery while saving valuable time and effort.

### 📩 What does Facebook Email Scraper do?

A Facebook email scraper is a powerful tool designed to collect publicly available email addresses from Facebook profiles at scale 🚀. It scans bios, business profiles, and contact sections to extract verified emails that creators, brands, and businesses intentionally share for communication.

With a facebook email scraper online free or advanced app-based solution, you can quickly build contact lists for outreach, partnerships, influencer marketing, and lead generation 💼. Instead of manually opening hundreds of profiles, this tool automates the process while keeping results structured and export-ready.

Whether you use a facebook email scraper free, a facebook email scraper app, or an Apify Facebook email scraper, the goal is simple: save time, improve accuracy, and scale your outreach efforts efficiently 📊.

* * *

### 📊 What Facebook Email Scraper can I extract?

A facebook email extractor scraper for Facebook gathers multiple data points from public profiles, not just emails. Below is a clear overview 👇

| 📌 Data Type | 📄 Description |
| --- | --- |
| Email Address | Public business or creator email from bio/contact |
| Username | Facebook handle of the profile |
| Profile Name | Display name shown on Facebook |
| Bio Text | Full bio description |
| Website URL | External links shared in bio |
| Category | Business/creator category |
| Follower Count | Total followers for context |
| Profile URL | Direct link to the profile |
| Verification Status | Verified or non-verified accounts |

Using tools like facebook email extractor online, you get clean, structured data ready for real-world use 📥.

* * *

#### ✨ Key Features of Facebook Email Scraper

An advanced facebook email finder scraper comes packed with features that make data extraction smooth and reliable:

*   ⚡ Fast bulk extraction from thousands of profiles  
    
*   📩 Accurate email detection from public bios  
    
*   🔍 Filter by keywords, followers, or categories  
    
*   🧾 Clean, structured output formats (JSON, CSV, Excel)  
    
*   🖥️ Works as facebook email scraper app or cloud-based tool  
    
*   🆓 Supports facebook email scraper free usage tiers  
    
*   🧩 Compatible with facebook email scraper python github workflows  
    
*   ☁️ Seamless integration with Apify Facebook email scraper  
    
*   🛡️ Focus on publicly available data only  
    

These features make it ideal for marketers, agencies, founders, and researchers who value speed and clarity 🔑.

* * *

### 🛠️ How to use Facebook Email Scraper

Using a facebook email scraper is simple—even for beginners 👌. Follow these steps:

#### 🔹 Step-by-Step Guide

1.  Log in to Apify – Create a free account or sign in.  
    
2.  Select the Actor – Search for Facebook Email Scraper in the Apify store.  
    
3.  Enter Input Data – Add Facebook profile URLs, usernames, hashtags, or search queries.  
    
4.  Choose Options – Set limits, filters, or email-only extraction.  
    
5.  Run the Actor – Start the process and let it collect emails automatically ⚙️.  
    
6.  Download Results – Export data in your preferred format 📂.  
    

Whether you prefer a facebook email scraper download, web-based tool, or Python workflow, the process remains smooth and user-friendly 🧭.

* * *

### 🎯 Use Cases

A facebook email scraper fits many real-world scenarios:

*   📢 Influencer outreach for brand collaborations  
    
*   💼 B2B lead generation for agencies and SaaS  
    
*   🛍️ E-commerce partnerships with creators  
    
*   📈 Growth marketing campaigns  
    
*   🎓 Academic and market research  
    
*   📰 Media & PR contact discovery  
    
*   🤝 Affiliate recruitment programs  
    

Tools like facebook email extractor help professionals connect with the right audience—faster and smarter 💡.

* * *

### ⭐ Why choose us?

Our facebook email scraper stands out for its balance of simplicity and performance 🏆:

*   ✅ Trusted by marketers, founders, and researchers  
    
*   ⚡ High-speed extraction with stable results  
    
*   📩 Clean, duplicate-free email output  
    
*   🧩 Works with facebook email scraper python github setups  
    
*   ☁️ Reliable cloud execution via Apify  
    
*   🆓 Flexible plans including free usage  
    
*   📞 Clear documentation and support  
    

If you're searching for a dependable facebook email scraper app that scales with your needs, this is built for you 🔥.

* * *

### 📈 How many results can you scrape with Facebook Email Scraper?

The number of results you can extract depends on your input, filters, and execution limits—but scalability is a major strength 💪.

A facebook email extractor online can handle:

*   🔹 Hundreds of profiles in small runs  
    
*   🔹 Thousands of profiles in bulk campaigns  
    
*   🔹 Large datasets using queues and pagination  
    

With cloud-based tools like Apify Facebook email scraper, performance remains stable even for large jobs 🌐. You can control limits per run, avoid duplicates, and segment results by category or follower count.

For developers, pairing the scraper with facebook email scraper python github workflows allows automation and scheduled extraction 🔁.

Whether you're running a quick facebook email scraper free task or a large-scale data collection project, the system adapts to your growth needs seamlessly 📊.

* * *

### ⚖️ Is it legal to scrape Facebook emails?

Scraping publicly available email addresses from Facebook profiles falls into a legal gray area and depends on how the data is used ⚠️.

Key considerations include:

*   📌 Only collect publicly displayed emails  
    
*   📌 Respect Facebook's terms and local regulations  
    
*   📌 Avoid spam or deceptive outreach  
    
*   📌 Use data for legitimate business or research purposes  
    

Tools like a facebook email finder scraper should be used responsibly, transparently, and ethically 🤝. Always consult legal guidance if unsure.

* * *

### 🔧 Input Parameters

#### 📥 Example Input (JSON)
```json
{
  "keywords": [
    "marketing",
    "founder",
    "business"
  ],
  "emailDomains": [
    "@gmail.com",
    "@outlook.com"
  ],
  "location": "London",
  "maxEmails": 20,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
````

### 📤 Output Format

#### 📄 Example Output (JSON)

```json
{
  "network": "Facebook.com",
  "keyword": "marketing",
  "title": "Social Lift Marketing (@socialliftmarketing)",
  "description": "This is Tunbridge Wells Squash ... 07802 640882 socialliftmarketing@ outlook.com #SocialMediaMarketing ## Marketing ...",
  "url": "https://www.facebook.com/socialliftmarketing/",
  "email": "socialliftmarketing@outlook.com"
}
```

### ❓ FAQ

#### 1. Is there a facebook email scraper free option?

Yes, many tools offer free usage with limits.

#### 2. Does it work as a facebook email scraper app?

Yes, it works via web and API-based setups.

#### 3. Can I use it with Python?

It integrates well with facebook email scraper python github workflows.

#### 4. Are emails verified?

Only publicly shared emails are collected.

#### 5. Can I scrape followers' emails?

Only if emails are publicly visible on profiles.

#### 6. Does facebook email scraper support bulk runs?

Yes, it's designed for bulk extraction.

#### 7. Is Apify Facebook email scraper reliable?

Yes, it's widely used for scalable data collection.

### 🚀 Conclusion

Using a facebook email scraper makes connecting with creators and businesses easier and more organized 🤝. From small campaigns to large-scale extraction, tools like Apify Facebook email scraper or facebook email extractor online support faster outreach, cleaner data, and scalable growth—helping you focus on building meaningful connections instead of manual searching.

***

✨ Ready to build smarter outreach with a Facebook email scraper? This tool gives you clarity, speed, and structure—exactly what modern growth needs.

# Actor input Schema

## `keywords` (type: `array`):

List of terms to search for on Facebook. 🧠

✅ Example: `['marketing', 'founder', 'business']` 🔎
🧩 We query Google for matching Facebook URLs and extract emails from the SERP HTML.

## `platform` (type: `string`):

Choose the target platform for URL matching ✅

## `location` (type: `string`):

Optional: Add a city/region to the query (e.g., `London`, `New York`) 📍
🌍 Leave empty to search globally.

## `emailDomains` (type: `array`):

Optional: Keep only emails from specific domains 📨

✅ You can use either `@gmail.com` or `gmail.com`
🧮 Example: `['@gmail.com', '@outlook.com']`
🌈 Leave empty to collect all domains.

## `maxEmails` (type: `integer`):

Hard cap for results per keyword 🎯 (default: 20)
⏱️ Higher values may take longer.

## `engine` (type: `string`):

Select the scraping strategy ⚙️

✅ Currently available: `legacy`
🧠 Uses Google SERP proxy rotation + SERP parser.

## `proxyConfiguration` (type: `object`):

Control proxy usage 🌐

🧩 `legacy` uses Apify Google SERP proxy rotation.
🚦 If Google blocks a request, the actor retries with a fresh proxy URL (up to 3 attempts).

📝 Keep default unless you have special proxy needs.

## Actor input object example

```json
{
  "keywords": [
    "marketing"
  ],
  "platform": "Facebook",
  "location": "",
  "emailDomains": [
    "@gmail.com"
  ],
  "maxEmails": 10,
  "engine": "legacy",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "keywords": [
        "marketing"
    ],
    "emailDomains": [
        "@gmail.com"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapapi/facebook-email-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 = {
    "keywords": ["marketing"],
    "emailDomains": ["@gmail.com"],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapapi/facebook-email-scraper").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 '{
  "keywords": [
    "marketing"
  ],
  "emailDomains": [
    "@gmail.com"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call scrapapi/facebook-email-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Facebook Email Scraper",
        "version": "0.1",
        "x-build-id": "10u8gc5O0PsT2FAQt"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapapi~facebook-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapapi-facebook-email-scraper",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapapi~facebook-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapapi-facebook-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapapi~facebook-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapapi-facebook-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "keywords"
                ],
                "properties": {
                    "keywords": {
                        "title": "🔑 Search Keywords",
                        "type": "array",
                        "description": "List of terms to search for on Facebook. 🧠\n\n✅ Example: `['marketing', 'founder', 'business']` 🔎\n🧩 We query Google for matching Facebook URLs and extract emails from the SERP HTML.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "platform": {
                        "title": "🌐 Platform",
                        "enum": [
                            "Facebook"
                        ],
                        "type": "string",
                        "description": "Choose the target platform for URL matching ✅",
                        "default": "Facebook"
                    },
                    "location": {
                        "title": "📍 Location Filter (Optional)",
                        "type": "string",
                        "description": "Optional: Add a city/region to the query (e.g., `London`, `New York`) 📍\n🌍 Leave empty to search globally.",
                        "default": ""
                    },
                    "emailDomains": {
                        "title": "📧 Email Domains Filter (Optional)",
                        "type": "array",
                        "description": "Optional: Keep only emails from specific domains 📨\n\n✅ You can use either `@gmail.com` or `gmail.com`\n🧮 Example: `['@gmail.com', '@outlook.com']`\n🌈 Leave empty to collect all domains.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxEmails": {
                        "title": "🎯 Max Emails per Keyword",
                        "minimum": 1,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Hard cap for results per keyword 🎯 (default: 20)\n⏱️ Higher values may take longer.",
                        "default": 10
                    },
                    "engine": {
                        "title": "⚙️ Engine",
                        "enum": [
                            "legacy"
                        ],
                        "type": "string",
                        "description": "Select the scraping strategy ⚙️\n\n✅ Currently available: `legacy`\n🧠 Uses Google SERP proxy rotation + SERP parser.",
                        "default": "legacy"
                    },
                    "proxyConfiguration": {
                        "title": "🛡️ Proxy Configuration",
                        "type": "object",
                        "description": "Control proxy usage 🌐\n\n🧩 `legacy` uses Apify Google SERP proxy rotation.\n🚦 If Google blocks a request, the actor retries with a fresh proxy URL (up to 3 attempts).\n\n📝 Keep default unless you have special proxy needs."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```