# Telegram Email Scraper (`scrapapi/telegram-email-scraper`) Actor

- **URL**: https://apify.com/scrapapi/telegram-email-scraper.md
- **Developed by:** [ScrapAPI](https://apify.com/scrapapi) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 1 total users, 0 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

### **Telegram** Email Scraper 📱

The **Telegram** Email Scraper is designed to **extract** a variety of **data** points from **Telegram** groups, channels, and user profiles. It focuses on gathering email addresses while ensuring compliance with **Telegram**'s policies and ethical guidelines.

Users can **extract** **emails** from **Telegram** users who have shared their **contact** information publicly or with consent. Additionally, the tool can gather supplementary **data** such as usernames, group names, and user activity details to provide context for the collected **emails**.

This comprehensive approach ensures that users can build accurate and actionable **contact** lists. The **Telegram** email harvesting tool is versatile and can adapt to different use cases, including marketing, research, and networking.

By automating the **data** **extract**ion process, it reduces manual effort and enhances productivity for individuals and organizations alike.

Telegram Email Scraper is a powerful tool designed to extract email addresses from Telegram groups, channels, and user profiles efficiently. It simplifies the process of gathering contact information for marketing, research, and networking purposes.

With Telegram email extraction tools, businesses can streamline their outreach strategies by collecting verified email addresses from active Telegram users. This automation saves time and ensures accuracy in data collection.

The Telegram Email Scraper is ideal for extracting emails from Telegram groups and channels, making it a valuable resource for lead generation and targeted campaigns. It works seamlessly with Telegram's interface to provide fast and reliable results.

### 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 | Extract publicly shared or consented email addresses from Telegram users. |
| Usernames | Collect usernames associated with the extracted email addresses for better identification. |
| Group Names | Retrieve the names of Telegram groups where the emails were extracted from. |
| Channel Names | Identify the Telegram channels linked to the collected email data. |
| User Activity | Analyze user activity levels within groups or channels for better targeting. |
| Profile Information | Gather additional public profile details like bio or profile picture links. |
| Group Member Count | Extract the total number of members in a group for context. |
| Message Metadata | Collect metadata such as timestamps or message counts for deeper insights. |

### Key Features of **Telegram** Email Scraper

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

- ⭐ Efficiently extracts email addresses from **Telegram** groups channels and user profiles
- ⭐ Supports both public and private groups with appropriate permissions for ethical data collection
- ⭐ User-friendly interface designed for beginners and advanced users alike
- ⭐ **Advanced** filtering options to target specific users or groups based on criteria
- ⭐ **Automated** data extraction to save time and reduce manual effort
- ⭐ Scalable design capable of handling large-scale email scraping tasks
- ⭐ Provides supplementary data like usernames group names and user activity details
- ⭐ Ensures compliance with **Telegram** policies and ethical data collection standards
- ⭐ **Regular** updates to maintain compatibility with **Telegram**s platform changes
- ⭐ **Secure** data handling to protect user information and extracted data

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

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

1. ✅ Download and install the **Telegram** Email Scraper software on your device
2. ✅ Log in to your **Telegram** account through the scrapers secure interface
3. ✅ **Select** the target group channel or user list from which you want to extract emails
4. ✅ **Configure** the scraping parameters such as filters or data types to collect
5. ✅ **Start** the scraping process and monitor the progress through the dashboard
6. ✅ **Review** the extracted data and export it in your preferred format such as CSV or JSON
7. ✅ Use the built-in deduplication feature to clean and organize the collected emails
8. ✅ Save your project settings for future use or schedule automated scraping tasks

### Use Cases 🎯

Lead Generation
🎯 Extract emails from **Telegram** groups related to your industry for targeted outreach
🎯 Build a contact list of potential clients or collaborators from **Telegram** users

Market Research
🎯 **Analyze** user activity and group dynamics to identify trends and preferences
🎯 **Collect** email data to survey **Telegram** users on specific topics or products

Networking
🎯 Connect with professionals in **Telegram** groups by extracting their contact details
🎯 Expand your professional network with verified email addresses from **Telegram** users

Content Promotion
🎯 Share your content with a targeted audience by emailing **Telegram** group members
🎯 Promote events or products to **Telegram** users who have shared their emails

### Why choose us? 💎

Our **Telegram** Email Scraper stands out as the **best** **Telegram** scraper for emails due to its **advanced** features and **user-friendly** design. It is built to provide accurate and **reliable** email extraction while maintaining compliance with ethical standards.

The tool is equipped with powerful automation capabilities, allowing users to save time and focus on their core activities. We prioritize data security and ensure that all extracted information is handled with care and confidentiality.

Our software is **regular**ly updated to adapt to changes in **Telegram**'s platform, ensuring uninterrupted service. Additionally, our dedicated support team is available to assist users with any queries or technical issues.

Whether you are a business owner, marketer, or researcher, our **Telegram** email automation tool is tailored to meet your specific needs. With competitive pricing and robust functionality, we aim to deliver exceptional value to our users.

Trust our **Telegram** Email Scraper to help you achieve your goals efficiently and ethically.

### **Telegram** Email Scraper Scalability 📈

The **Telegram** Email Scraper is designed to handle projects of all sizes, from small-scale data collection to **large-scale** email harvesting tasks. Its robust architecture ensures consistent performance even when processing **extensive** **Telegram** groups or channels.

The tool's **advanced** filtering options allow users to customize their scraping tasks, making it suitable for diverse requirements. Additionally, the software supports batch processing and scheduling, enabling users to automate repetitive tasks and improve productivity.

Whether you need to extract a few hundred emails or thousands, the **Telegram** Email Scraper can scale to meet your demands. Our development team continuously optimizes the software to ensure it remains **efficient** and reliable as your needs grow.

With its scalable design, the **Telegram** Email Scraper is a valuable asset for businesses and individuals looking to maximize their data collection efforts.

### **Telegram** Email Scraper Legal Guidelines ⚖️

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

#### Legal & Ethical Guidelines
⚖️ **Ensure** that you have permission to access and scrape data from **Telegram** groups or channels
⚖️ **Only** collect email addresses that are publicly shared or provided with explicit consent
⚖️ **Do not** use the **Telegram** Email Scraper for spamming or any other unethical activities
⚖️ Comply with **Telegram**s terms of service and privacy policies while using the tool
⚖️ **Adhere** to local and international data protection laws such as GDPR or CCPA
⚖️ **Avoid** scraping private or sensitive information without proper authorization
⚖️ **Use** the extracted data responsibly and for legitimate purposes only
⚖️ Regularly review and update your practices to maintain compliance with evolving regulations

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

### Output Format 📤

📝 Example Output (JSON)

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

### FAQ ❓

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

The Telegram Email Scraper is a tool designed to extract email addresses and related data from Telegram groups, channels, and user profiles.

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

**Yes**, it is legal to use as long as you comply with Telegram's terms of service and collect data ethically and with consent.

#### Can the tool **extract** emails from **private** Telegram groups?

**Yes**, but only if you have permission to access the private group or if the data is shared publicly.

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

The Telegram Email Scraper supports exporting data in formats like **CSV**, **JSON**, and Excel.

#### Is the tool compatible with all Telegram versions?

**Yes**, the tool is regularly updated to ensure compatibility with the latest versions of Telegram.

#### Can I use the scraper on multiple devices?

**Yes**, the tool supports multi-device usage with a valid license.

#### Does the scraper work for large Telegram groups?

**Yes**, the tool is scalable and can handle large groups or channels efficiently.

#### Is technical support available?

**Yes**, our **dedicated support** team is available to assist with any technical issues or queries.

#### Can I schedule automated scraping tasks?

**Yes**, the tool includes scheduling features for **automated** scraping tasks.

#### How **secure** is the **extract**ed data?

The extracted data is stored **secure**ly and handled with strict confidentiality to protect user information.

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

The tool is compatible with Windows, Mac, and Linux systems with standard hardware configurations.

#### Can I filter the data before scraping?

**Yes**, the tool offers advanced **filtering** options to target specific groups or users.

#### Is there a free trial available?

**Yes**, a free trial is available to help users evaluate the tool's features and performance.

#### How often is the software updated?

The software is updated regularly to maintain compatibility and improve functionality.

#### Can I use the tool for bulk email **extract**ion?

**Yes**, the tool is designed to handle bulk email extraction tasks efficiently.

# Actor input Schema

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

List of keywords to search for on Telegram (e.g., \['marketing', 'founder', 'business']). The actor will search Google for Telegram 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": "Telegram",
  "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/telegram-email-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["marketing"],
    "emailDomains": ["@gmail.com"],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapapi/telegram-email-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "marketing"
  ],
  "emailDomains": [
    "@gmail.com"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call scrapapi/telegram-email-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Telegram Email Scraper",
        "version": "0.1",
        "x-build-id": "IUX7Ecym3Ubn5M5aF"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapapi~telegram-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapapi-telegram-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapapi~telegram-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapapi-telegram-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapapi~telegram-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapapi-telegram-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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 Telegram (e.g., ['marketing', 'founder', 'business']). The actor will search Google for Telegram profiles/posts containing these keywords and extract email addresses.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "platform": {
                        "title": "Platform",
                        "enum": [
                            "Telegram"
                        ],
                        "type": "string",
                        "description": "Select platform.",
                        "default": "Telegram"
                    },
                    "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```