# Thoracic Surgeons Email Scraper (`contacts-api/thoracic-surgeons-email-scraper`) Actor

Thoracic surgeons email scraper to extract verified surgeon emails from hospitals, clinics, and medical directories 📧🫁 Perfect for healthcare outreach, recruitment, and targeted medical lead generation.

- **URL**: https://apify.com/contacts-api/thoracic-surgeons-email-scraper.md
- **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **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

### 🫁 Thoracic Surgeons Email Scraper — Find Verified Leads In Minutes

> The fastest way to build a targeted thoracic surgeons list. This thoracic surgeons email extractor searches Google Maps for thoracic surgery practices across any city, crawls their websites, and extracts verified thoracic surgeons email addresses, phone numbers, and social media profiles — all in one clean, export-ready dataset.

---

#### 🚀 Quick Start

1. Enter your search term — e.g., "Thoracic Surgeons"
2. Add one or more target locations — e.g., "New York", "Houston, Texas"
3. Set your desired number of businesses with emails
4. Hit Run and get your results in minutes

No coding required. Export to CSV, JSON, or Excel instantly.

---

#### 💡 What Is The Thoracic Surgeons Email Scraper?

The Thoracic Surgeons Email Scraper is a purpose-built thoracic surgeons contact scraper and thoracic surgeons data scraper that combines Google Maps discovery with deep website crawling to extract publicly available contact information. It’s ideal for:

- Medical device sales teams and vendors
- Hospital supplier relations and physician liaisons
- B2B outreach and marketing agencies
- Researchers, analysts, and directory builders

It discovers clinics and practices via Google Maps, visits each practice website, and extracts thoracic surgeons email contacts, phone numbers, and social URLs. Whether you need a thoracic surgeons lead finder, a thoracic surgeons lead scraper, or a thoracic surgeons email finder to power campaigns, this actor produces a clean thoracic surgeons list ready for immediate use.

---

#### 📦 What Data Does The Thoracic Surgeons Email Scraper Extract?

| Field | Description |
|---|---|
| Business Name | Practice or company name from Google Maps |
| Website | Official website URL |
| Phone | Primary phone from the listing or website |
| Full Address | Complete address as listed |
| City / State / ZIP | Parsed location components |
| Country Code | ISO country code where available |
| Emails | All public thoracic surgeons email addresses extracted from website pages |
| Additional Phones | Extra phone numbers discovered during crawl |
| Social Media Links | Facebook, Instagram, LinkedIn, X/Twitter, and more |
| Email Count | Total unique emails found per business |
| Pages Scraped | Number of website pages crawled per domain |
| Rating | Average Google Maps star rating |
| Reviews | Total number of Google reviews |
| Latitude / Longitude | Geo-coordinates for mapping and filtering |
| Place ID | Google Maps place identifier |
| Scrape Status | Per-record status: success, partial, or error |

---

#### ⚙️ Input Configuration For The Thoracic Surgeons Email Scraper

##### Minimal Example

```json
{
  "googleMapsSearchTerm": "Thoracic Surgeons",
  "googleMapsLocation": ["New York"]
}
````

##### Full Example With All Options

```json
{
  "googleMapsSearchTerm": "Thoracic Surgeons",
  "googleMapsLocation": [
    "New York",
    "Houston, Texas",
    "Chicago, Illinois"
  ],
  "maxBusinesses": 200,
  "scrapeMaxBusinessesPerLocation": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

##### Input Parameters

| Parameter | Type | Required | Description |
|---|---|---|---|
| googleMapsSearchTerm | String | Yes | Business type to search — e.g., "Thoracic Surgeons", "cardiothoracic surgeon" |
| googleMapsLocation | Array | Yes | One or more locations — e.g., \["New York", "Houston, Texas"] |
| maxBusinesses | Number | No | Max businesses with emails to return (1–1,000). The run stops once reached |
| scrapeMaxBusinessesPerLocation | Boolean | No | If true, applies the cap per location; if false, it's a combined total |
| proxyConfiguration | Object | No | Proxy settings. Strongly recommended for large runs |

***

#### 📤 Sample Output From The Thoracic Surgeons Email Scraper

```json
[
  {
    "name": "Metropolitan Thoracic Surgery Center",
    "website": "https://www.metrothoracic.com",
    "phone": "+1 212-555-0147",
    "full_address": "450 Lexington Ave, New York, NY 10017, United States",
    "city": "New York",
    "state": "NY",
    "zip": "10017",
    "country_code": "US",
    "scraped_emails": [
      "info@metrothoracic.com",
      "referrals@metrothoracic.com"
    ],
    "scraped_phones": ["+1 212-555-0147", "+1 212-555-0189"],
    "scraped_social_media": [
      "linkedin:https://www.linkedin.com/company/metrothoracic",
      "facebook:https://www.facebook.com/metrothoracic"
    ],
    "emails_found": 2,
    "pages_scraped": 16,
    "avg_rating": 4.7,
    "total_reviews": 89,
    "lat": 40.7527,
    "long": -73.9753,
    "place_id": "ChIJN1EXAMPLEID",
    "scrape_status": "success"
  }
]
```

***

#### 🔧 How The Thoracic Surgeons Email Scraper Works — Under The Hood

```
Step 1 → Search Google Maps using your term + location(s)
Step 2 → Collect listings (name, address, phone, website, ratings)
Step 3 → Visit each website and crawl key pages (Home, Contact, About, footer)
Step 4 → Extract public emails, phone numbers, and social profile links
Step 5 → De-duplicate, normalize, and validate contact data
Step 6 → Output structured results ready for export or API use
```

Built to operate as a thoracic surgeons contact finder (discovery) and a thoracic surgeons email extractor (extraction) in a single automated pipeline.

***

#### ✨ Key Features Of The Thoracic Surgeons Email Scraper

- Precise Location Targeting
  - Target any city, state, or region. Find thoracic surgeons leads exactly where you need them, from major metros to smaller markets.

- Deep Website Crawl
  - Goes beyond Google listings. Crawls contact pages, about pages, and footers to surface every public thoracic surgeons email and phone number.

- Multi-Location Scaling
  - Run dozens of cities at once with per-location or combined capping — ideal for building a comprehensive thoracic surgeons list.

- Smart De-Duplication
  - Automatically removes duplicate emails per domain so your exports stay clean and outreach-ready.

- Structured, CRM-Ready Output
  - Consistent fields for quick imports into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool.

- Proxy-Ready For Reliability
  - Built-in proxy support to reduce rate limits and blocks during larger runs — perfect for agency-grade thoracic surgeons leads campaigns.

- Target-Based Stopping
  - Stops automatically when your maxBusinesses threshold is reached — no wasted compute.

- Schedulable & Repeatable
  - Automate weekly or monthly pulls to refresh your thoracic surgeons list with new data.

***

#### 🎯 Use Cases For The Thoracic Surgeons Email Scraper

- B2B Outreach & Sales
  - Build targeted thoracic surgeons leads for medical device sales, EMR vendors, and service providers using the thoracic surgeons lead finder.

- Hospital & Clinic Partnerships
  - Identify practices for partnerships, referrals, or continuing education. Use the thoracic surgeons contact scraper to consolidate contacts.

- Directory Building & Research
  - Compile verified thoracic surgeons email contacts for directories, studies, and regional analyses with this thoracic surgeons data scraper.

- Marketing Agencies & Consultants
  - Run repeatable scrapes and deliver fresh thoracic surgeons leads to clients using the thoracic surgeons lead scraper.

- CRM Enrichment & Validation
  - Enrich existing records with missing thoracic surgeons email, phones, and social profiles via the thoracic surgeons contact finder.

- Field Sales Territory Planning
  - Map geo-distributed prospects with ratings, reviews, and coordinates to plan outreach and onsite visits.

***

#### 📈 How Many Results Can You Get With The Thoracic Surgeons Email Scraper?

Scale from a quick test to a multi-market campaign. Results depend on:

- Number of locations
- Search term breadth (narrow vs. broad niche)
- Website density and email visibility
- maxBusinesses and per-location vs. combined mode
- Proxy configuration and run timeout

Typical Output Ranges

- Small (1–3 cities): 20–100 businesses with emails
- Medium (5–15 cities): 200–600 businesses with emails
- Large (20+ cities/states): 800–1,000+ per run

Run across different regions to continuously grow your thoracic surgeons list without hard limits.

***

#### 🔌 Integrations & Export Options For The Thoracic Surgeons Email Scraper

Once your run completes, you can:

- JSON: Full structured data download
- CSV / Excel: Import directly into spreadsheets or CRMs
- Apify API: Stream results into your apps and pipelines
- Zapier / Make: Trigger automations when new thoracic surgeons leads are found
- Webhooks: Push results to your CRM or data store on run completion

Compatible with Instantly, Smartlead, Apollo, HubSpot, Salesforce, and any platform that accepts CSV/JSON.

***

#### 🛠️ Step-By-Step Usage Guide For The Thoracic Surgeons Email Scraper

Step 1 — Log in to Apify\
Create a free account or sign in at apify.com.

Step 2 — Open the Actor\
Search for "Thoracic Surgeons Email Scraper" in the Apify Store and click Try for free.

Step 3 — Set Your Search Term\
Enter "Thoracic Surgeons" or a variant like "cardiothoracic surgeon" or "thoracic oncology surgeon".

Step 4 — Add Target Locations\
Enter one or more cities/states — e.g., "New York", "Houston, Texas", "Los Angeles, California".

Step 5 — Set Your Limit\
Choose how many businesses with emails you want — 20 for a quick test, up to 1,000 for larger campaigns.

Step 6 — Choose Scaling Strategy

- Combined cap: The total across all locations combined
- Per-location cap: Applies your limit independently to each city

Step 7 — Enable Proxies\
Turn on Apify Proxy for stable, uninterrupted crawling at scale.

Step 8 — Run 🚀\
Click Start and let the Thoracic Surgeons Email Scraper do the work.

Step 9 — Export\
Download as JSON, CSV, or Excel — or pull via API straight into your stack.

***

#### ⚖️ Legal & Compliance For The Thoracic Surgeons Email Scraper

This actor collects only publicly available business contact information — thoracic surgeons email addresses and phone numbers published on public webpages.

Best practices to stay compliant:

- Only use publicly visible contact data
- Do not bypass login walls or paywalls
- Respect each website’s robots.txt and Terms of Service
- Include an unsubscribe option in all outreach
- Follow applicable laws in your jurisdiction

Relevant regulations to be aware of:

- GDPR (EU)
- CAN-SPAM Act (US)
- CASL (Canada)
- PECR (UK)

This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected.

***

#### ❓ Frequently Asked Questions About The Thoracic Surgeons Email Scraper

Q: Does this collect private or personal emails?\
A: No. It only extracts thoracic surgeons email addresses that are publicly visible on practice websites (e.g., info@, referrals@, admin@).

Q: Can I search multiple cities in one run?\
A: Yes. Add as many locations as needed. Use per-location capping for even geographic distribution when building your thoracic surgeons list.

Q: Does it de-duplicate emails and websites?\
A: Yes. Emails are de-duplicated per domain. This keeps your thoracic surgeons leads accurate and ready for import.

Q: Is a proxy required?\
A: Not for small runs, but strongly recommended for 200+ businesses to avoid rate limits — especially when using the thoracic surgeons email extractor at scale.

Q: What niches does the search term support?\
A: Any Google Maps-searchable variant — try "cardiothoracic surgeon", "thoracic surgery center", "thoracic oncology surgeon", or "minimally invasive thoracic surgery". These broaden your thoracic surgeons data scraper results.

Q: How is this different from manual research?\
A: Manual search is slow and inconsistent. The thoracic surgeons contact scraper automates discovery and extraction, turning hours of work into minutes.

Q: Can agencies white-label or resell the data?\
A: Yes. Many agencies use the thoracic surgeons lead finder and thoracic surgeons lead scraper to deliver recurring thoracic surgeons leads to clients.

Q: What export formats are available?\
A: JSON, CSV, and Excel downloads are supported. You can also stream results via the Apify API or webhooks into your CRM.

***

Have a question, feature request, or need a custom build?

📧 Email: scrapermindapi@gmail.com

We’re happy to help with:

- Custom input/output configurations
- Niche-specific adaptations
- Bulk or enterprise run support
- Integration assistance with your CRM or data pipeline

For any help or custom solution, contact via this mail: scrapermindapi@gmail.com

***

Built for medical device vendors, hospital partnerships, and outreach teams who need accurate thoracic surgeons leads at scale — fast.

# Actor input Schema

## `googleMapsSearchTerm` (type: `string`):

Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').

## `googleMapsLocation` (type: `array`):

Target geographic location for the email scraper (e.g., 'Miami, Florida').

## `maxBusinesses` (type: `integer`):

Target number of businesses to find (1-1000). The scraper will stop when this target is reached.

## `scrapeMaxBusinessesPerLocation` (type: `boolean`):

If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.

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

Proxy settings for scraping. Recommended for large-scale scraping.

## Actor input object example

```json
{
  "googleMapsSearchTerm": "Thoracic Surgeons",
  "googleMapsLocation": [
    "New York"
  ],
  "maxBusinesses": 5,
  "scrapeMaxBusinessesPerLocation": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "googleMapsSearchTerm": "Thoracic Surgeons",
    "googleMapsLocation": [
        "New York"
    ],
    "maxBusinesses": 5,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("contacts-api/thoracic-surgeons-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 = {
    "googleMapsSearchTerm": "Thoracic Surgeons",
    "googleMapsLocation": ["New York"],
    "maxBusinesses": 5,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("contacts-api/thoracic-surgeons-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 '{
  "googleMapsSearchTerm": "Thoracic Surgeons",
  "googleMapsLocation": [
    "New York"
  ],
  "maxBusinesses": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call contacts-api/thoracic-surgeons-email-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Thoracic Surgeons Email Scraper",
        "description": "Thoracic surgeons email scraper to extract verified surgeon emails from hospitals, clinics, and medical directories 📧🫁 Perfect for healthcare outreach, recruitment, and targeted medical lead generation.",
        "version": "1.0",
        "x-build-id": "H6anYaRMUUCGgpM7X"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/contacts-api~thoracic-surgeons-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-contacts-api-thoracic-surgeons-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/contacts-api~thoracic-surgeons-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-contacts-api-thoracic-surgeons-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/contacts-api~thoracic-surgeons-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-contacts-api-thoracic-surgeons-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "googleMapsLocation",
                    "googleMapsSearchTerm"
                ],
                "properties": {
                    "googleMapsSearchTerm": {
                        "title": "Search Term",
                        "type": "string",
                        "description": "Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').",
                        "default": "Thoracic Surgeons"
                    },
                    "googleMapsLocation": {
                        "title": "Location",
                        "type": "array",
                        "description": "Target geographic location for the email scraper (e.g., 'Miami, Florida').",
                        "default": [
                            "New York"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxBusinesses": {
                        "title": "Maximum Businesses With Emails",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Target number of businesses to find (1-1000). The scraper will stop when this target is reached.",
                        "default": 5
                    },
                    "scrapeMaxBusinessesPerLocation": {
                        "title": "Scrape Max Businesses Per Location",
                        "type": "boolean",
                        "description": "If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.",
                        "default": false
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Proxy settings for scraping. Recommended for large-scale scraping."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
