# Facebook Profile Lead Scraper (`scrapapi/facebook-profile-lead-scraper`) Actor

- **URL**: https://apify.com/scrapapi/facebook-profile-lead-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

### **Facebook** Lead Scraper 📱

The **Facebook** Profile Lead Scraper allows you to **extract** a wide range of **data** from **Facebook** profiles, providing you with valuable insights and **contact** information. This tool is designed to simplify the process of gathering **data**, ensuring accuracy and efficiency.

You can **extract** **leads**, phone numbers, profile names, and other essential details from public profiles. The tool also helps you collect additional **data** such as profile links, job titles, and locations, which can be useful for targeted marketing or research.

By automating the **data** **extract**ion process, the **Facebook** lead harvesting tool saves you time and effort. It is ideal for businesses, researchers, and marketers who need reliable and organized **data** for their projects.

With its user-friendly interface, the tool makes **data** mining accessible even for non-technical users.

Facebook Profile Lead Scraper is a powerful tool designed to help users extract lead addresses and other contact information from Facebook profiles efficiently. It simplifies the process of gathering valuable data for marketing, networking, or research purposes.

With the increasing need for accurate and reliable data, this Facebook lead extractor tool ensures that you can access the information you need without manual effort. It is ideal for businesses and individuals looking to streamline their contact collection process.

Our Facebook contact scraping software is easy to use and highly customizable, making it suitable for a wide range of applications. Whether you are looking to extract Facebook profile data for lead generation or research, this tool has you covered.

### Support and feedback

- **Bug reports**: Open a ticket in the repository Issues section
- **Custom features**: Contact our enterprise support team
  *Lead: scrapier.io@gmail.com *
### Extractable Data Table 📊
| Data Type | Description |
| --- | --- |
| Lead Addresses | Extract publicly available lead addresses from Facebook profiles. |
| Phone Numbers | Collect phone numbers listed on public Facebook profiles. |
| Profile Names | Retrieve the names associated with Facebook profiles. |
| Profile Links | Get direct links to the Facebook profiles for easy access. |
| Job Titles | Extract job titles mentioned in the profiles. |
| Locations | Collect location information from public profiles. |
| Profile Pictures | Download profile pictures if publicly available. |
| About Information | Gather additional details listed in the 'About' section of profiles. |

### Key Features of **Facebook** Lead Scraper

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

- ⭐ **Automated** data extraction for efficient and accurate results
- ⭐ User-friendly interface suitable for both technical and non-technical users
- ⭐ **Customizable** scraping options to target specific data types
- ⭐ **High**-speed data mining capabilities for large-scale projects
- ⭐ Compliance with legal and ethical guidelines for data collection
- ⭐ Support for extracting multiple data types including leads and phone numbers
- ⭐ Real-time data updates to ensure the information is current
- ⭐ **Secure** and reliable software to protect user privacy
- ⭐ Detailed logs and reports for tracking data extraction activities
- ⭐ Seamless integration with other tools and platforms for data management

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

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

1. ✅ Log in to your **Facebook** account using a browser or dedicated tool
2. ✅ Install and configure the **Facebook** Profile Lead Scraper on your system
3. ✅ **Input** the target profile URLs or keywords for the scraping process
4. ✅ Choose the specific data types you want to extract such as leads or phone numbers
5. ✅ Set up any additional filters or parameters to refine your search results
6. ✅ **Start** the scraping process and monitor the progress in real-time
7. ✅ **Review** the extracted data and export it in your preferred format such as CSV or Excel
8. ✅ Use the collected data for your intended purpose ensuring compliance with legal guidelines

### Use Cases 🎯

Lead Generation
🎯 **Collect** lead addresses from **Facebook** profiles for targeted marketing campaigns
🎯 Build a database of potential clients using the **Facebook** lead extractor tool

Market Research
🎯 **Analyze** demographic data from **Facebook** profiles for market insights
🎯 Gather information about competitors or industry trends using the tool

Networking
🎯 Extract contact details for professional networking purposes
🎯 **Identify** potential collaborators or partners through profile data

Recruitment
🎯 **Find** candidates by extracting job titles and locations from profiles
🎯 Build a talent pool using the best **Facebook** lead scraper

### Why choose us? 💎

Our **Facebook** Profile Lead Scraper is designed to meet the highest standards of efficiency and accuracy. With its **advanced** features, you can extract **Facebook** profile data seamlessly and save hours of manual effort.

We prioritize user experience by offering a tool that is both powerful and easy to use, catering to technical and non-technical users alike. This **Facebook** lead extractor tool is highly customizable, allowing you to target specific data types and refine your search results.

We ensure compliance with legal and ethical guidelines, giving you peace of mind as you collect data. Our software is built for scalability, making it suitable for small businesses and large enterprises.

With real-time updates and secure data handling, we provide a **reliable** solution for your data mining needs. Choose us for a trusted and efficient **Facebook** contact scraping software that delivers results every time.

### **Facebook** Lead Scraper Scalability 📈

The **Facebook** Profile Lead Scraper is designed to handle projects of any size, from small-scale data collection to large enterprise-level tasks. Its high-speed data mining capabilities ensure that you can extract information quickly and **efficient**ly, regardless of the volume.

The tool is built to support multiple concurrent scraping processes, making it ideal for businesses with **extensive** data needs. With **customizable** options, you can scale the tool to match your specific requirements, whether you are targeting a few profiles or thousands.

Our software ensures consistent performance and reliability, even when handling large datasets. By choosing our automated **Facebook** lead extractor, you can future-proof your data collection processes and adapt to growing demands.

### **Facebook** Lead Scraper Legal Guidelines ⚖️

**Yes**—scraping **Facebook** is **legal** as long as you follow **ethical** and **compliant** practices. The **Facebook** Lead 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
⚖️ **Only** extract data from public profiles to avoid violating privacy laws
⚖️ **Do not** use the tool for spamming or unsolicited marketing activities
⚖️ **Obtain** consent from individuals before using their contact information for outreach
⚖️ **Avoid** scraping sensitive or personal information without proper authorization
⚖️ Regularly review and adhere to local and international data protection regulations
⚖️ **Use** the tool ethically and responsibly to maintain trust and credibility
⚖️ **Do not** share or sell extracted data without explicit permission from the data owners

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

### Input Table

| Data Type | Description |
| --- | --- |
| keywords | Keywords to find relevant profiles |
| country | Country setting (Global) |
| maxLeadNumbers | Maximum leads 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 Lead 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",
    "lead": "before@gmail.com"
  }
]
```

### Output Table

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

### FAQ ❓

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

It is a tool designed to extract lead addresses and other data from public Facebook profiles efficiently.

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

**Yes**, as long as you comply with Facebook's terms of service and data protection regulations.

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

You can extract **leads**, phone numbers, profile names, job titles, locations, and more from public profiles.

#### Do I need technical skills to use the scraper?

**No**, the tool is **user-friendly** and suitable for both technical and non-technical users.

#### Can I customize the data **extract**ion process?

**Yes**, you can choose specific data types and set filters to refine your results.

#### Is the tool **secure**?

**Yes**, the software is designed to protect user privacy and handle data **secure**ly.

#### How do I **export** the **extract**ed data?

You can export the data in various formats, such as **CSV** or Excel, for easy use.

#### Can the scraper handle **large-scale** projects?

**Yes**, it is built for scalability and can manage extensive data extraction tasks efficiently.

#### What are the system requirements for the scraper?

The tool is compatible with most modern operating systems and requires an active internet connection.

#### Is **customer support** available?

**Yes**, we offer **dedicated support** to assist you with any issues or questions.

#### Can I use the tool for **lead generation**?

**Yes**, it is ideal for collecting contact information for targeted marketing campaigns.

#### Does the tool comply with GDPR?

**Yes**, it is designed to adhere to GDPR and other data protection regulations.

#### How often is the data updated?

The tool provides real-time updates to ensure the extracted data is current.

#### Is there a trial version available?

**Yes**, we offer a trial version so you can test the tool before purchasing.

#### Can I scrape **private** Facebook profiles?

**No**, the tool only works with **publicly available** data to ensure **compliance** with privacy laws.

# 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("scrapapi/facebook-profile-lead-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-profile-lead-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-profile-lead-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Facebook Profile Lead Scraper",
        "version": "0.1",
        "x-build-id": "1zNO6CluodvlRdRI0"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapapi~facebook-profile-lead-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapapi-facebook-profile-lead-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapapi~facebook-profile-lead-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapapi-facebook-profile-lead-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapapi~facebook-profile-lead-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapapi-facebook-profile-lead-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```