# Audible Email Scraper (`scrapepilotapi/audible-email-scraper`) Actor

- **URL**: https://apify.com/scrapepilotapi/audible-email-scraper.md
- **Developed by:** [ScrapePilot](https://apify.com/scrapepilotapi) (community)
- **Categories:** Automation, E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 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

### **Social Media** Email Scraper 📱

The Audible Email Scraper allows users to **extract** a variety of **data** points from Audible accounts. This includes email addresses, user names, and other relevant **contact** information.

The tool is designed to ensure accurate and organized **data** retrieval for further analysis or outreach. With this Audible **data** **extract**ion software, users can streamline their **data** collection process while maintaining compliance with ethical standards.

Extracted **data** can be used for marketing campaigns, user engagement, or research purposes. The Audible email automation software ensures that all **data** is collected securely and efficiently.

By using this tool, users can save time and resources while accessing valuable **contact** details from Audible accounts.

Audible Email Scraper is a powerful tool designed to extract email data from Audible accounts efficiently and accurately. It helps users access valuable contact information for various purposes while adhering to ethical guidelines.

With the rise of email scraping tools for Audible, businesses and individuals can streamline their data collection processes. This software ensures precise extraction of emails without compromising user security.

Audible data extraction software is ideal for gathering user contact information for marketing, research, and networking. It simplifies the process of identifying and organizing email data from Audible accounts.

### Support and feedback

- **Bug reports**: Open a ticket in the repository Issues section
- **Custom features**: Contact our enterprise support team
  *Email: scrapier.io@gmail.com *
### Extractable Data Table 📊
| Data Type | Description |
| --- | --- |
| Email Addresses | Extracts verified email addresses associated with Audible accounts. |
| User Names | Retrieves the names of Audible account holders for personalized outreach. |
| Account Creation Date | Identifies when the Audible account was created for demographic analysis. |
| Subscription Details | Gathers information on subscription plans linked to the account. |
| Contact Preferences | Extracts user preferences for receiving communications. |
| Location Data | Collects geographical data linked to the Audible account. |
| User Activity Logs | Provides insights into user interactions and activity on Audible. |
| Profile Links | Retrieves links to user profiles for further exploration. |

### Key Features of **Social Media** Email Scraper

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

- ⭐ Efficiently extracts email addresses and other contact details from Audible accounts
- ⭐ Supports bulk data extraction to save time and increase productivity
- ⭐ Ensures data accuracy and minimizes errors during the scraping process
- ⭐ Provides secure and encrypted data collection to protect user information
- ⭐ Offers customizable settings to tailor the scraping process to specific needs
- ⭐ Includes user-friendly interface for easy navigation and operation
- ⭐ Compatible with multiple devices and operating systems for versatility
- ⭐ Delivers organized and exportable data formats for seamless integration
- ⭐ Complies with ethical guidelines and ensures responsible data usage
- ⭐ Offers detailed logs and reports for tracking scraping activities

### How to use **Social Media** Email Scraper 🚀

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

1. ✅ Download and install the Audible Email Scraper software on your device
2. ✅ Log in to your Audible account or provide necessary credentials securely
3. ✅ **Configure** the scraping settings according to your data extraction requirements
4. ✅ **Select** the specific data types you want to extract from Audible accounts
5. ✅ Initiate the scraping process and monitor the progress in real-time
6. ✅ **Review** the extracted data to ensure accuracy and completeness
7. ✅ **Export** the collected data in your preferred format for further use
8. ✅ Repeat the process as needed for additional accounts or data points
9. ✅ Adjust settings or filters to refine your scraping results
10. ✅ Ensure compliance with legal and ethical guidelines during the process

### Use Cases 🎯

Marketing Campaigns
🎯 **Collect** email addresses for targeted marketing initiatives
🎯 Segment users based on subscription details for personalized offers

User Research
🎯 **Analyze** user demographics and preferences for product development
🎯 Gather data on Audible user activity for behavioral insights

Networking and Outreach
🎯 **Identify** potential collaborators or partners through email extraction
🎯 Build a database of Audible users for professional networking

Customer Engagement
🎯 Enhance communication strategies by understanding user preferences
🎯 **Use** extracted data to create personalized engagement campaigns

### Why choose us? 💎

Our Audible Email Scraper is designed with user needs and data security in mind. This tool offers a seamless way to extract valuable contact information from Audible accounts.

It is equipped with **advanced** features that ensure accuracy, efficiency, and compliance with ethical standards. The software is **user-friendly**, making it accessible for both beginners and professionals.

With customizable settings, users can tailor the scraping process to meet specific requirements. We prioritize data security by implementing encryption and secure protocols during the extraction process.

Our Audible email scraping service is compatible with various devices and platforms, ensuring versatility and convenience. By choosing our tool, users can save time, reduce manual effort, and achieve high-quality results.

Whether you need data for marketing, research, or networking, our Audible Email Scraper is the ideal solution for your needs. Trust us to deliver **reliable** and efficient data extraction services tailored to your goals.

### **Social Media** Email Scraper Scalability 📈

The Audible Email Scraper is built to handle data extraction tasks of varying scales. Whether you need to scrape a few accounts or thousands, our tool ensures consistent performance.

It supports bulk data extraction, allowing users to save time and increase efficiency. The software is optimized for speed and accuracy, even when processing large datasets.

With adjustable settings, users can customize the scope of their scraping tasks to suit specific needs. Our Audible email automation software is designed to scale with your requirements, making it suitable for both small businesses and large enterprises.

By leveraging our tool, you can manage data extraction projects of any size with ease and reliability. Trust our Audible Email Scraper to deliver scalable solutions for your data collection needs.

### **Social Media** Email Scraper Legal Guidelines ⚖️

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

#### Legal & Ethical Guidelines
⚖️ **Ensure** compliance with Audibles terms of service when using the scraper
⚖️ **Obtain** explicit consent from users before collecting their data
⚖️ **Use** the extracted data only for legitimate and ethical purposes
⚖️ **Avoid** sharing or selling collected data to unauthorized parties
⚖️ Implement secure storage and handling practices for all extracted data
⚖️ **Do not** use the scraper to access or extract sensitive or private information
⚖️ Regularly review and adhere to local data protection laws and regulations
⚖️ Discontinue scraping activities if requested by Audible or affected users

### Input Parameters 🧩
📦 Example Input (JSON)
```json
{
  "keywords": ["Audible Email Scraper"],
  "country": "Global",
  "maxEmailNumbers": 20,
  "platform": "Social Media",
  "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 (Social Media) |
| engine | Engine type (legacy) |
| proxyConfiguration | Optional proxy settings |

### Output Format 📤

📝 Example Output (JSON)

```json
[
  {
    "network": "Social Media",
    "keyword": "Audible 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 Social Media as the source |
| keyword | Keyword that triggered the result (Audible Email Scraper) |
| title | Profile title or username |
| description | Public bio snippet with contact info |
| url | Direct Social Media profile link |
| email | Extracted email address |

### FAQ ❓

#### What is the Audible **Email Scraper**?

The Audible Email Scraper is a tool designed to extract email addresses and other contact details from Audible accounts efficiently and **secure**ly.

#### Is the Audible **Email Scraper** **legal** to use?

**Yes**, the scraper is legal to use as long as you comply with Audible's terms of service and obtain user consent where required.

#### What data can I **extract** using the Audible **Email Scraper**?

You can extract email addresses, user names, subscription details, account creation dates, and more.

#### Is the Audible **Email Scraper** **secure**?

**Yes**, the scraper uses encryption and **secure** protocols to ensure the safety of extracted data.

#### Can I use the Audible **Email Scraper** for bulk data **extract**ion?

**Yes**, the tool supports bulk data extraction for efficient processing of large datasets.

#### Does the Audible **Email Scraper** work on all devices?

**Yes**, the scraper is compatible with multiple devices and operating systems.

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

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

#### Is technical support available for the Audible **Email Scraper**?

**Yes**, we provide dedicated technical support to assist with any issues or questions.

#### Can I customize the scraping process?

**Yes**, the scraper offers customizable settings to tailor the data extraction process to your needs.

#### What are the ethical guidelines for using the Audible **Email Scraper**?

You should use the scraper responsibly, comply with Audible's terms of service, and adhere to local data protection laws.

#### How accurate is the data **extract**ed by the Audible **Email Scraper**?

The scraper is designed to deliver highly accurate and organized data for reliable use.

#### Can I scrape data from multiple Audible accounts simultaneously?

**Yes**, the tool allows for simultaneous scraping of multiple accounts to save time.

#### Is the Audible **Email Scraper** suitable for large enterprises?

**Yes**, the scraper is scalable and can handle data extraction tasks for **businesses** of all sizes.

#### How often is the Audible **Email Scraper** updated?

The scraper is regularly updated to ensure compatibility and optimal performance.

#### What should I do if Audible requests me to stop scraping?

You should immediately discontinue scraping activities to comply with Audible's policies and avoid potential legal issues.

# Actor input Schema

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

List of keywords to search for on Audible (e.g., \['marketing', 'founder', 'business']). The actor will search Google for Audible 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": "Audible",
  "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("scrapepilotapi/audible-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("scrapepilotapi/audible-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 scrapepilotapi/audible-email-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Audible Email Scraper",
        "version": "0.1",
        "x-build-id": "gR7fjp1GfombaQfFF"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapepilotapi~audible-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapepilotapi-audible-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapepilotapi~audible-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapepilotapi-audible-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapepilotapi~audible-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapepilotapi-audible-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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 Audible (e.g., ['marketing', 'founder', 'business']). The actor will search Google for Audible profiles/posts containing these keywords and extract email addresses.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "platform": {
                        "title": "Platform",
                        "enum": [
                            "Audible"
                        ],
                        "type": "string",
                        "description": "Select platform.",
                        "default": "Audible"
                    },
                    "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```