# Nephrologists Email Scraper (`contacts-api/nephrologists-email-scraper`) Actor

Nephrologists email scraper to extract verified kidney specialist emails from hospitals, clinics, and healthcare directories 📧🩺 Perfect for healthcare outreach, recruitment, and nephrology lead generation.

- **URL**: https://apify.com/contacts-api/nephrologists-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 $1.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

### 🩺 Nephrologists Email Scraper — Find Verified Leads in Minutes

> The fastest way to build a targeted nephrologists list and a steady pipeline of nephrologists leads. The nephrologists email scraper searches Google Maps for nephrology clinics and kidney specialists across any city, crawls their websites, and extracts verified nephrologists email addresses, phone numbers, and social media profiles — all in one clean, export-ready dataset.

---

#### 🚀 Quick Start

1. Enter your search term — e.g., "Nephrologists"
2. Add one or more target locations — e.g., "New York", "Los Angeles"
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 Nephrologists Email Scraper?

The nephrologists email scraper is a purpose-built lead generation and contact discovery tool for:

- Healthcare marketing teams and agencies
- Medical device and pharmaceutical field reps
- Dialysis service providers and hospital referral networks
- B2B outreach professionals and data teams

It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data — producing an accurate, deduplicated nephrologists list ready for immediate use.

Whether you need it as a nephrologists lead finder, a nephrologists lead scraper, a nephrologists email finder, a nephrologists email extractor, a nephrologists contact scraper, or a nephrologists contact finder — this actor covers all six in a single automated run.

---

#### 📦 What Data Does It Extract?

| Field | Description |
|---|---|
| Business Name | Practice or organization 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 nephrologists 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

##### Minimal Example

```json
{
  "googleMapsSearchTerm": "Nephrologists",
  "googleMapsLocation": ["New York"],
  "maxBusinesses": 50
}
````

##### Full Example with All Options

```json
{
  "googleMapsSearchTerm": "Nephrologists",
  "googleMapsLocation": [
    "New York",
    "Los Angeles, California",
    "Chicago, Illinois"
  ],
  "maxBusinesses": 200,
  "scrapeMaxBusinessesPerLocation": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

##### Input Parameters

| Parameter | Type | Required | Description |
|---|---|---|---|
| `googleMapsSearchTerm` | String | ✅ Yes | Business type to search — e.g., "Nephrologists", "kidney specialist", "dialysis center" |
| `googleMapsLocation` | Array | ✅ Yes | One or more locations — e.g., \["New York", "Austin, Texas"] |
| `maxBusinesses` | Number | ✅ Yes | Max businesses with emails to return (1–1,000) |
| `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

```json
[
  {
    "name": "Hudson Kidney Specialists",
    "website": "https://www.hudsonkidney.com",
    "phone": "+1 212-555-0172",
    "full_address": "225 W 34th St, New York, NY 10001, United States",
    "city": "New York",
    "state": "NY",
    "zip": "10001",
    "country_code": "US",
    "scraped_emails": [
      "info@hudsonkidney.com",
      "appointments@hudsonkidney.com"
    ],
    "scraped_phones": ["+1 212-555-0172", "+1 212-555-0144"],
    "scraped_social_media": [
      "linkedin:https://www.linkedin.com/company/hudson-kidney",
      "facebook:https://www.facebook.com/hudsonkidney"
    ],
    "emails_found": 2,
    "pages_scraped": 12,
    "avg_rating": 4.7,
    "total_reviews": 96,
    "lat": 40.7506,
    "long": -73.9935,
    "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4",
    "scrape_status": "success"
  }
]
```

***

#### 🔧 How It Works — Under the Hood

```
Step 1 → Search Google Maps using your term + location
Step 2 → Collect business listings (name, address, phone, website)
Step 3 → Visit each website and crawl key pages (Home, Contact, About, etc.)
Step 4 → Extract public emails, phone numbers, and social media links
Step 5 → Deduplicate and normalize all contact data
Step 6 → Return structured results ready for export or API consumption
```

The actor is built to function as a discovery engine and an extraction engine — effectively a nephrologists email scraper, a nephrologists lead scraper, and a nephrologists email finder in one automated pipeline.

***

#### ✨ Key Features

##### 🎯 Precise Location Targeting

Pinpoint nephrology practices by city, metro, or region. Get hyper-local nephrologists leads in your exact target areas for better campaign relevance.

##### 🔍 Deep Website Crawl

Goes beyond the Google listing. Crawls homepages, contact pages, about pages, and footers to surface every available public nephrologists email and phone number. Use it as a dependable nephrologists email extractor when contact info isn’t obvious.

##### 🌎 Multi-Location Scaling

Run across dozens of cities at once. Choose a combined cap or a per-location cap — perfect for building a large, multi-market nephrologists list in days, not weeks.

##### 🧹 Smart De-Duplication

Automatically removes duplicate emails per domain so your data stays clean and accurate — no messy cleanup after export.

##### 📊 Structured, CRM-Ready Output

Normalized fields with consistent naming make it easy to drop results into HubSpot, Salesforce, Apollo, Instantly, or your pipelines. Use the output as a nephrologists data scraper feed for dashboards or automations.

##### 🛡️ Proxy-Ready for Reliability

Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks — ideal when scaling the nephrologists email scraper for multi-market campaigns.

##### ⏱️ Stop at Your Target

The actor halts as soon as your maxBusinesses limit is reached — no wasted compute, no overage.

##### 🔄 Schedulable & Repeatable

Run it daily, weekly, or monthly to continually refresh your nephrologists leads with newly discovered contacts.

##### 🔗 Contact Discovery You Can Trust

Operate it as a nephrologists contact scraper to find general inboxes and practice emails, or as a nephrologists contact finder to fill in missing contact channels across your CRM.

***

#### 🎯 Use Cases

##### 💼 B2B Outreach & Sales

Prospect independent nephrology practices, dialysis centers, and hospital-affiliated clinics. Use this as your nephrologists lead scraper to fill cold email sequences with qualified nephrologists leads.

##### 🧑‍⚕️ Healthcare Staffing & Recruiting

Identify clinics hiring locums or permanent staff. The nephrologists lead finder surfaces contacts you can’t reliably find on job boards.

##### 📣 Local & Regional Marketing

Create geo-targeted campaigns using verified practice emails and phones collected by a repeatable nephrologists contact scraper workflow.

##### 🤝 Partnership & Referral Development

Build referral pathways with complementary specialties (cardiology, endocrinology, internal medicine). Use the nephrologists contact finder to expand local networks.

##### 🗃️ CRM Enrichment

Append missing contact fields to existing records with a dependable nephrologists email finder, including additional phones and social profiles.

##### 🏢 Agency Client Delivery

Deliver fresh contact lists to clients each week using the nephrologists email extractor — predictable, scalable, and export-ready.

***

#### 📈 How Many Results Can You Get?

Scale from a small prospect list to a robust regional database — results depend on:

- Number of locations added
- Breadth of your search term (niche vs. broad)
- Website density and email visibility in each market
- maxBusinesses setting and per-location vs. combined mode
- Proxy configuration and run timeout

##### Typical Output Ranges

| Campaign Size | Businesses with Emails |
|---|---|
| Small (1–3 cities) | 20 – 100 |
| Medium (5–15 cities) | 200 – 600 |
| Large (20+ cities / states) | 800 – 1,000+ per run |

Run multiple campaigns across different regions to continuously grow your nephrologists list without hitting hard platform limits.

***

#### 🔌 Integrations & Export Options

Once your run completes, you can:

| Option | Details |
|---|---|
| JSON | Full structured data download |
| CSV / Excel | Import directly into spreadsheets |
| Apify API | Stream results into your own apps or workflows |
| Zapier / Make | Trigger automations when new leads are found |
| Webhooks | Push results to your CRM or pipeline on run completion |

Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach stack. Treat the pipeline as a nephrologists data scraper feeding internal BI or enrichment services in real time.

***

#### 🛠️ Step-by-Step Usage Guide

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

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

**Step 3 — Set Your Search Term**\
Enter "Nephrologists" or a niche variant like "kidney specialist", "nephrology clinic", or "dialysis center".

**Step 4 — Add Target Locations**\
Enter one or more city/state combos — e.g., "New York", "Miami, Florida".

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

**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 Nephrologists Email Scraper do the work.

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

***

#### ⚖️ Legal & Compliance

This actor collects only publicly available business contact information — emails and phone numbers published openly on websites.

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:

| Regulation | Region |
|---|---|
| GDPR | European Union |
| CAN-SPAM Act | United States |
| CASL | Canada |
| PECR | United Kingdom |

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

***

#### ❓ Frequently Asked Questions

**Q: Does this scrape private or personal emails?**\
No. The actor only extracts emails that are publicly visible on business websites — practice inboxes, admin contacts, and general inquiry addresses.

**Q: Can I search multiple cities in one run?**\
Yes. Add as many locations as needed. Use per-location capping for even geographic distribution.

**Q: Does it deduplicate results?**\
Yes. Emails are deduplicated per domain to keep your nephrologists leads accurate and clean.

**Q: Can I schedule recurring runs?**\
Absolutely. Use Apify’s built-in scheduler to run weekly or monthly and keep your nephrologists leads fresh.

**Q: What search terms work best?**\
Try "nephrology clinic", "kidney specialist", "dialysis center", or "renal care". Broader terms yield more results; niche terms improve relevance.

**Q: Are proxies required?**\
Not for small tests, but strongly recommended for 200+ business runs to avoid rate limits.

**Q: How is this different from manual Google searching?**\
Manual search is slow and inconsistent. This workflow automates discovery and contact extraction — operating as a nephrologists contact scraper and nephrologists email extractor at scale.

**Q: Can agencies white-label or resell this?**\
Yes. Run it on behalf of clients and deliver fresh contact data on a recurring basis.

***

#### 🧑‍💻 Support & Custom Solutions

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

***

*Built for healthcare marketers, staffing professionals, and outreach teams who need an accurate, scalable nephrologists email scraper to power predictable growth.*

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

# 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": "Nephrologists",
  "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": "Nephrologists",
    "googleMapsLocation": [
        "New York"
    ],
    "maxBusinesses": 5,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

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

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

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Nephrologists Email Scraper",
        "description": "Nephrologists email scraper to extract verified kidney specialist emails from hospitals, clinics, and healthcare directories 📧🩺 Perfect for healthcare outreach, recruitment, and nephrology lead generation.",
        "version": "1.0",
        "x-build-id": "bdTqLye2eXPKfGCNu"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/contacts-api~nephrologists-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-contacts-api-nephrologists-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/contacts-api~nephrologists-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-contacts-api-nephrologists-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/contacts-api~nephrologists-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-contacts-api-nephrologists-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": "Nephrologists"
                    },
                    "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```