# Forensic Pathologist Email Scraper (`contacts-api/forensic-pathologist-email-scraper`) Actor

Forensic pathologist email scraper to extract verified specialist emails from hospitals, laboratories, and medical directories 📧🔬 Perfect for healthcare outreach, recruitment, and forensic medical lead generation.

- **URL**: https://apify.com/contacts-api/forensic-pathologist-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

### 🧬 Forensic Pathologist Email Scraper — Find Verified Leads In Minutes

> The fastest way to build a targeted forensic pathologist list. This forensic pathologist email scraper searches Google Maps for forensic pathologists and related entities in any city, crawls their websites, and extracts verified forensic pathologist email addresses, phone numbers, and social media links — all in one clean, export-ready dataset to power your forensic pathologist leads.

---

#### 🚀 Quick Start

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

The Forensic Pathologist Email Scraper is a purpose-built discovery and contact extraction tool for:

- Legal teams and expert witness services
- Medical examiner offices and forensic pathology labs
- Vendors of lab equipment and LIMS software
- Academic researchers, journalists, and policy groups
- Medical recruiters and professional organizations

It combines Google Maps discovery with deep website crawling to collect publicly available contact data and assemble an accurate, deduplicated forensic pathologist list. In one workflow, it works as a forensic pathologist lead finder, a forensic pathologist lead scraper, a forensic pathologist email finder, and a forensic pathologist contact finder — plus a lightweight forensic pathologist contact scraper and forensic pathologist data scraper for compliant, structured outputs.

Whether you need to enrich your CRM with forensic pathologist leads or build a niche directory, this tool provides reliable coverage across cities, states, or entire regions.

---

#### 📦 What Data Does It Extract?

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

---

#### ⚙️ Input Configuration

##### Minimal Example

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

##### Full Example With All Options

```json
{
  "googleMapsSearchTerm": "Forensic Pathologist",
  "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., "Forensic Pathologist", "forensic pathology lab" |
| `googleMapsLocation` | Array | ✅ Yes | One or more locations — e.g., \["New York", "Los Angeles, California"] |
| `maxBusinesses` | Number | ❌ No | Max businesses with emails to return (1–1,000). The run stops when this target is 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 larger runs |

***

#### 📤 Sample Output

```json
[
  {
    "name": "Metro Forensic Pathology Associates",
    "website": "https://www.metroforensics.com",
    "phone": "+1 212-555-0198",
    "full_address": "445 Madison Ave, New York, NY 10022, United States",
    "city": "New York",
    "state": "NY",
    "zip": "10022",
    "country_code": "US",
    "scraped_emails": [
      "info@metroforensics.com",
      "contact@metroforensics.com"
    ],
    "scraped_phones": ["+1 212-555-0198", "+1 212-555-0124"],
    "scraped_social_media": [
      "linkedin:https://www.linkedin.com/company/metro-forensics",
      "twitter:https://twitter.com/metroforensics"
    ],
    "emails_found": 2,
    "pages_scraped": 11,
    "avg_rating": 4.7,
    "total_reviews": 36,
    "lat": 40.7594,
    "long": -73.9738,
    "place_id": "ChIJN1-EXAMPLEID",
    "scrape_status": "success"
  }
]
```

***

#### 🔧 How It Works — Under The Hood

```
Step 1 → Search Google Maps using your term + location(s)
Step 2 → Collect listings (name, address, phone, website)
Step 3 → Visit each website and crawl key pages (Home, Contact, About, Footer)
Step 4 → Extract public emails, phone numbers, and social links
Step 5 → Deduplicate, normalize, and enrich contact data
Step 6 → Return structured, export-ready results
```

Designed for reliability and scale, the forensic pathologist email scraper runs an end‑to‑end pipeline from discovery to contact extraction, functioning as a precise forensic pathologist email extractor while feeding your pipeline with compliant forensic pathologist leads.

***

#### ✨ Key Features

##### 🎯 Precise Location Targeting

Pinpoint forensic pathology practices, medical examiner offices, and lab providers in any city, state, or region. Build hyper-local campaigns and convert findings into qualified forensic pathologist leads.

##### 🔍 Deep Website Crawl

Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public forensic pathologist email and phone number.

##### 🌎 Multi-Location Scaling

Run across dozens of cities at once. Choose a combined cap or a per-location cap — ideal for assembling a broad forensic pathologist list across multiple markets.

##### 🧹 Smart De-Duplication

Automatically removes duplicate email addresses per domain to keep your data clean and outreach-ready.

##### 📊 Structured, CRM-Ready Output

Normalized fields for easy imports into HubSpot, Salesforce, Apollo, or spreadsheets. Use it as a dependable forensic pathologist data scraper for analytics and enrichment workflows.

##### 📞 Contact Discovery Beyond Email

Also extracts phone numbers and social profiles. This doubles as a forensic pathologist contact scraper and a forensic pathologist contact finder for multi-channel outreach.

##### 🛡️ Proxy-Ready For Reliability

Built-in proxy support enables stable, large-scale runs with reduced rate-limiting — ideal when you’re leveraging the tool as a forensic pathologist lead scraper for agency-level work.

##### ⏱️ Stop At Your Target

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

##### 🔄 Schedulable & Repeatable

Run it daily, weekly, or monthly to refresh your forensic pathologist leads and keep data current.

***

#### 🎯 Use Cases

##### 💼 B2B Outreach & Sales

Prospect forensic pathology labs, medical examiner offices, and consultancy practices. Use it as your forensic pathologist lead finder to feed cold email or call campaigns.

##### ⚖️ Legal & Expert Services

Quickly compile expert contacts for casework, depositions, and testimony. Treat it as a forensic pathologist contact finder to reach the right specialists.

##### 🧪 Vendors & Suppliers

Identify labs and examiners to pitch equipment, LIMS, and consulting services using the built-in forensic pathologist email extractor.

##### 📚 Academic & Media Research

Build research cohorts or press contact lists for interviews and studies without manual lookup effort.

##### 🏢 Recruiting & Staffing

Source candidates and practices for placement opportunities, accelerating your pipeline of forensic pathologist leads.

##### 🗂️ CRM/Data Enrichment

Refresh old records with new emails, phones, and social profiles; maintain a consistent forensic pathologist list for outreach and reporting.

***

#### 📈 How Many Results Can You Get?

Scale from a small prospect list to a regional database — your yield depends on:

- Number of locations added
- Niche breadth (e.g., “forensic pathologist” vs “forensic pathology lab”)
- 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) | 15 – 80 |
| Medium (5–15 cities) | 150 – 500 |
| Large (20+ cities / states) | 700 – 1,000+ per run |

Run multiple times across different regions to continuously grow your forensic pathologist list without hitting hard limits.

***

#### 🔌 Integrations & Export Options

Once your run completes, you can:

- JSON for full structured data download
- CSV / Excel for spreadsheet workflows
- Apify API to stream results into your apps or pipelines
- Zapier / Make to trigger automations on new results
- Webhooks to push directly to your CRM

Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach platform that supports CSV/JSON imports.

***

#### 🛠️ 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 “Forensic Pathologist Email Scraper” in the Apify Store and click Try for free.

- Step 3 — Set Your Search Term\
  Enter “Forensic Pathologist” or niche variants like “forensic pathology lab”, “medical examiner office”, or “forensic autopsy services”.

- Step 4 — Add Target Locations\
  Enter one or more city/state combos — e.g., “New York”, “Los Angeles, California”, “Chicago, Illinois”.

- 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 to each city independently

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

- Step 8 — Run 🚀\
  Click Start and let the forensic pathologist 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 tool collects only publicly available business contact information — emails and phone numbers published openly on websites or listings.

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 forensic pathologist data scraper is intended for ethical business prospecting and research. You are responsible for how you use the data collected.

***

#### ❓ Frequently Asked Questions

Q: Does this scrape private or personal emails?\
A: No. It only extracts emails that are publicly visible on business websites — general inboxes, admin contacts, or published staff emails.

Q: Can I search multiple cities in one run?\
A: Yes. Add as many locations as you need and decide whether to cap per location or across all locations combined.

Q: Does it deduplicate results?\
A: Yes. Emails are deduplicated per domain to keep your dataset clean and reliable for outreach.

Q: Can I schedule recurring runs?\
A: Absolutely. Use Apify’s scheduler to refresh your forensic pathologist leads weekly or monthly.

Q: Is a proxy required?\
A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and improve stability.

Q: What niches does the search term support?\
A: Any Google Maps searchable term — try “forensic pathologist”, “forensic pathology lab”, “medical examiner office”, or “postmortem services”.

Q: How is this different from manual research?\
A: Manual search is slow and inconsistent. This automation handles discovery, crawling, and extraction end-to-end, acting as a forensic pathologist email extractor with consistent formatting and deduplication.

Q: Can agencies use this for client projects?\
A: Yes. Many teams deploy it as a forensic pathologist contact scraper or forensic pathologist email finder and deliver recurring reports to clients.

Q: Can I use this as both a lead finder and a lead scraper?\
A: Yes. It functions as both a forensic pathologist lead finder and a forensic pathologist lead scraper in a single automated workflow.

***

#### 🧑‍💻 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 (e.g., medical examiners, pathology labs)
- Bulk or enterprise run support
- Integration assistance (API, webhooks, CRMs)

***

*Built for legal teams, medical examiners, vendors, and researchers who need accurate forensic pathologist leads at scale — fast.*

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

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

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

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Forensic Pathologist Email Scraper",
        "description": "Forensic pathologist email scraper to extract verified specialist emails from hospitals, laboratories, and medical directories 📧🔬 Perfect for healthcare outreach, recruitment, and forensic medical lead generation.",
        "version": "1.0",
        "x-build-id": "LH4gncvyPx5afJasB"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/contacts-api~forensic-pathologist-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-contacts-api-forensic-pathologist-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/contacts-api~forensic-pathologist-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-contacts-api-forensic-pathologist-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/contacts-api~forensic-pathologist-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-contacts-api-forensic-pathologist-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": "Forensic Pathologist"
                    },
                    "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
