# Facebook Profile Email Scraper (`scrapio/facebook-profile-email-scraper`) Actor

Facebook Profile Email Scraper helps you collect emails from Facebook profiles used by businesses and creators. Use the data for partnerships, promotions, and direct brand communication efficiently.

- **URL**: https://apify.com/scrapio/facebook-profile-email-scraper.md
- **Developed by:** [Scrapio](https://apify.com/scrapio) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 4 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$14.99/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## 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

### **Facebook** Email Scraper 📱

The **Facebook** Profile Email Scraper allows users to **extract** a variety of **data** from **Facebook** profiles and pages. This includes publicly available email addresses, which are essential for outreach and networking.

Additionally, the tool can gather other relevant information such as profile names, job titles, and locations. By automating the **data** **extract**ion process, it eliminates the need for manual effort and ensures accuracy.

This **Facebook** email scraping tool is designed to work efficiently while adhering to ethical and legal standards. Users can customize their scraping parameters to target specific profiles or groups.

### Support and feedback

- **Bug reports**: Open a ticket in the repository Issues section
- **Custom features**: Contact our enterprise support team
  *Email: hello.scrapio@gmail.com*
### Extractable Data Table 📊
| Data Type | Description |
| --- | --- |
| Email addresses | Extract publicly available email addresses from Facebook profiles and pages. |
| Profile names | Retrieve the names associated with Facebook profiles. |
| Job titles | Collect job titles listed on Facebook profiles. |
| Locations | Gather location information shared on Facebook profiles. |
| Profile URLs | Extract direct links to Facebook profiles for easy access. |
| Page information | Scrape details from Facebook pages, including contact emails. |
| Group member data | Retrieve email addresses and other details of group members. |
| Custom fields | Extract additional data fields based on user-defined parameters. |

### Key Features of **Facebook** Email Scraper

Here are the **standout features** that make the **Facebook** Email Scraper a **top-tier tool** for **marketers**, **agencies**, and **researchers**:

- ⭐ **Automated** extraction of email addresses from **Facebook** profiles
- ⭐ Supports scraping from **Facebook** pages profiles and groups
- ⭐ **Customizable** scraping parameters for targeted data collection
- ⭐ User-friendly interface suitable for all skill levels
- ⭐ **High** accuracy and up-to-date data extraction results
- ⭐ Compliance with ethical and legal guidelines for data scraping
- ⭐ Organized output in CSV or JSON format for easy integration
- ⭐ **Advanced** filtering options to refine scraping results
- ⭐ **Secure** and reliable tool with data privacy safeguards
- ⭐ **Fast** processing speeds to handle large-scale data scraping tasks
- ⭐ **Regular** updates to ensure compatibility with **Facebook**s platform
- ⭐ Detailed documentation and customer support for troubleshooting

### How to use **Facebook** Email Scraper 🚀

Follow this **simple, step-by-step guide** to start extracting **Facebook** emails today:

1. ✅ **Sign up** for an account or **log in** to the **Facebook** Profile Email Scraper tool
2. ✅ Navigate to the dashboard and select the scraping mode (profile page or group)
3. ✅ Enter the target URLs or keywords for the profiles or pages you wish to scrape
4. ✅ Customize the scraping parameters such as data fields and filters
5. ✅ **Start** the scraping process by clicking the Run button
6. ✅ Monitor the progress of the scraping task in real-time on the dashboard
7. ✅ Download the extracted data in your preferred format (CSV or JSON)
8. ✅ Analyze the data or integrate it into your existing systems for further use
9. ✅ Adjust settings and rerun the scraper if additional data is needed
10. ✅ Refer to the documentation or contact support for any troubleshooting assistance
11. ✅ Ensure compliance with **Facebook**s terms of service and legal guidelines
12. ✅ Log out of your account once the scraping task is complete

### Use Cases 🎯

Marketing and Outreach
🎯 Build targeted email lists for marketing campaigns
🎯 **Identify** potential leads and contacts for business networking
🎯 Enhance outreach efforts with accurate contact information

Market Research
🎯 **Analyze** demographic data from **Facebook** profiles
🎯 Gather insights on user behavior and preferences
🎯 **Identify** trends and patterns for strategic decision-making

Recruitment and Talent Acquisition
🎯 **Find** potential candidates by extracting job titles and emails
🎯 Build a database of professionals in specific industries
🎯 Streamline the hiring process with organized contact data

Academic and Non-Profit Research
🎯 **Collect** data for academic studies or surveys
🎯 **Identify** and connect with individuals for research purposes
🎯 Support non-profit initiatives by gathering relevant contact details

### Why choose us? 💎

Our **Facebook** Profile Email Scraper stands out for its efficiency, accuracy, and ease of use. It is designed to cater to a wide range of users, from marketers to researchers, by offering customizable scraping options.

The tool ensures compliance with ethical and legal standards, providing peace of mind to users. With **advanced** algorithms, it delivers up-to-date and relevant data for various applications.

The **user-friendly** interface makes it accessible to both technical and non-technical users. Our tool is **regular**ly updated to stay compatible with **Facebook**'s platform, ensuring uninterrupted service.

Additionally, we offer detailed documentation and dedicated customer support to assist users at every step. Whether you need to extract emails for outreach or analyze profile data for research, our scraper provides a **reliable** solution.

By choosing our tool, you can save time, enhance productivity, and achieve your data collection goals effectively.

### **Facebook** Email Scraper Scalability 📈

The **Facebook** Profile Email Scraper is built to handle data extraction tasks of any scale. Whether you need to scrape a few profiles or thousands, our tool is equipped to manage the workload **efficient**ly.

It offers **advanced** filtering and customization options to target specific data sets. The tool's robust infrastructure ensures fast processing speeds, even for **large-scale** scraping projects.

Users can run multiple scraping tasks simultaneously without compromising performance. Our scraper is designed to adapt to the growing needs of businesses and researchers.

Regular updates ensure that it remains compatible with **Facebook**'s platform and can handle evolving data requirements. Whether you are a small business or a large enterprise, our tool provides the scalability needed to meet your objectives.

With its reliable performance and flexibility, the **Facebook** Profile Email Scraper is an ideal choice for users with diverse data extraction needs.

### **Facebook** Email Scraper Legal Guidelines ⚖️

**Yes**—scraping **Facebook** is **legal** as long as you follow **ethical** and **compliant** practices. The **Facebook** Email Scraper extracts only **publicly available** information from **public** **Facebook** profiles, making it **safe** and **compliant** for **research**, **marketing**, and **analysis**.

#### Legal & Ethical Guidelines
⚖️ **Ensure** compliance with **Facebook**s terms of service when using the scraper
⚖️ **Do not** use the tool to extract private or unauthorized data
⚖️ **Obtain** consent from individuals before using their contact information
⚖️ **Use** the extracted data solely for lawful and ethical purposes
⚖️ **Avoid** sharing or selling the extracted data without proper authorization
⚖️ Regularly review and adhere to data privacy regulations in your region
⚖️ **Do not** use the scraper for spamming or unsolicited communication
⚖️ Respect the rights and privacy of individuals while using the tool

### Input Parameters 🧩
📦 Example Input (JSON)
```json
{
  "keywords": ["Facebook Profile Email Scraper"],
  "country": "Global",
  "maxEmailNumbers": 20,
  "platform": "Facebook",
  "engine": "legacy"
}
````

### Input Table

| Data Type | Description |
| --- | --- |
| keywords | Keywords to find relevant profiles |
| country | Country setting (Global) |
| maxEmailNumbers | Maximum emails to collect (default 20) |
| platform | Platform to scrape (Facebook) |
| engine | Engine type (legacy) |
| proxyConfiguration | Optional proxy settings |

### Output Format 📤

📝 Example Output (JSON)

```json
[
  {
    "network": "Facebook",
    "keyword": "Facebook Profile Email Scraper",
    "title": "Google's Single-Benefit Marketing Strategy for Chrome ...",
    "description": "✓For years, once we created a Gmail account, we couldn't change the username (the part before @ gmail.com ). ... Grand Rapids Marketing Co. Read more",
    "url": "https://www.linkedin.com/posts/phill-agnew_heres-how-google-marketed-chrome-browser-activity-7404878510214914048-dLxI",
    "email": "before@gmail.com"
  }
]
```

### Output Table

| Data Type | Description |
| --- | --- |
| network | Identifies Facebook as the source |
| keyword | Keyword that triggered the result (Facebook Profile Email Scraper) |
| title | Profile title or username |
| description | Public bio snippet with contact info |
| url | Direct Facebook profile link |
| email | Extracted email address |

### FAQ ❓

#### What is the Facebook Profile **Email Scraper**?

It is a tool designed to extract **publicly available** email addresses and other data from Facebook profiles and pages.

#### Is the tool **legal** to use?

**Yes**, as long as it is used in **compliance** with Facebook's terms of service and applicable data privacy laws.

#### What data can I **extract** using this tool?

You can extract email addresses, profile names, job titles, locations, and more from Facebook profiles and pages.

#### Can I customize the scraping parameters?

**Yes**, the tool allows you to customize parameters such as target profiles, data fields, and filters.

#### What formats are supported for data **export**?

The extracted data can be exported in **CSV** or **JSON** formats for easy integration.

#### Is the tool suitable for **large-scale** data scraping?

**Yes**, it is designed to handle large-scale scraping tasks efficiently with fast processing speeds.

# Actor input Schema

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

List of keywords to search for on Facebook (e.g., \['marketing', 'founder', 'business']). The actor will search Google for Facebook profiles/posts containing these keywords and extract email addresses.

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

Select platform.

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

Optional: Add location to search query (e.g., 'London', 'New York'). Leave empty to search globally.

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

Optional: Filter results to only include emails from specific domains (e.g., \['@gmail.com', '@outlook.com']). Leave empty to collect all email domains.

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

Maximum number of emails to collect per keyword (default: 20).

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

Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE\_SERP proxy with traditional selectors - more reliable but slower and more expensive.

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

Choose which proxies to use. By default, no proxy is used. If Google rejects or blocks the request, the actor will automatically fallback to datacenter proxy, then residential proxy with 3 retries.

## Actor input object example

```json
{
  "keywords": [
    "marketing"
  ],
  "platform": "Facebook",
  "location": "",
  "emailDomains": [
    "@gmail.com"
  ],
  "maxEmails": 20,
  "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("scrapio/facebook-profile-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("scrapio/facebook-profile-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 scrapio/facebook-profile-email-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Facebook Profile Email Scraper",
        "description": "Facebook Profile Email Scraper helps you collect emails from Facebook profiles used by businesses and creators. Use the data for partnerships, promotions, and direct brand communication efficiently.",
        "version": "0.1",
        "x-build-id": "BhvkxNqHT6KUJgrlb"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapio~facebook-profile-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapio-facebook-profile-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapio~facebook-profile-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapio-facebook-profile-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapio~facebook-profile-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapio-facebook-profile-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": "Keywords",
                        "type": "array",
                        "description": "List of keywords to search for on Facebook (e.g., ['marketing', 'founder', 'business']). The actor will search Google for Facebook profiles/posts containing these keywords and extract email addresses.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "platform": {
                        "title": "Platform",
                        "enum": [
                            "Facebook"
                        ],
                        "type": "string",
                        "description": "Select platform.",
                        "default": "Facebook"
                    },
                    "location": {
                        "title": "Location Filter",
                        "type": "string",
                        "description": "Optional: Add location to search query (e.g., 'London', 'New York'). Leave empty to search globally.",
                        "default": ""
                    },
                    "emailDomains": {
                        "title": "Email Domains Filter",
                        "type": "array",
                        "description": "Optional: Filter results to only include emails from specific domains (e.g., ['@gmail.com', '@outlook.com']). Leave empty to collect all email domains.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxEmails": {
                        "title": "Maximum Emails per Keyword",
                        "minimum": 1,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Maximum number of emails to collect per keyword (default: 20).",
                        "default": 20
                    },
                    "engine": {
                        "title": "Engine",
                        "enum": [
                            "legacy"
                        ],
                        "type": "string",
                        "description": "Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE_SERP proxy with traditional selectors - more reliable but slower and more expensive.",
                        "default": "legacy"
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Choose which proxies to use. By default, no proxy is used. If Google rejects or blocks the request, the actor will automatically fallback to datacenter proxy, then residential proxy with 3 retries."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```