# Pharmacy Technician Email Scraper (`contacts-api/pharmacy-technician-email-scraper`) Actor

Pharmacy technician email scraper to extract verified pharmacy technician emails from pharmacies, hospitals, healthcare facilities, and medical directories 📧💊 Perfect for healthcare outreach, recruitment, and pharmacy industry lead generation.

- **URL**: https://apify.com/contacts-api/pharmacy-technician-email-scraper.md
- **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community)
- **Categories:** Lead generation, Jobs, Automation
- **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

### 💊 Pharmacy Technician Email Scraper — Find Verified Leads in Minutes

> The fastest way to build a targeted pharmacy technician list. This pharmacy technician email scraper searches Google Maps for pharmacy technician businesses, training programs, and related services in any city, crawls their websites, and extracts publicly available emails, phone numbers, and social profiles — all in one clean, export-ready dataset. Use it as a pharmacy technician lead scraper and a pharmacy technician email finder to accelerate outreach.

---

#### 🚀 Quick Start

1. Enter your search term — e.g., "Pharmacy Technician", "pharmacy technician training", or "retail pharmacy"
2. Add one or more target locations — e.g., "New York", "Austin, Texas"
3. Set your desired number of businesses with emails
4. Hit Run and get results in minutes

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

---

#### 💡 What Is The Pharmacy Technician Email Scraper?

The Pharmacy Technician Email Scraper is a purpose-built lead generation and contact discovery tool for:

- Pharmacy and healthcare marketing teams
- Staffing and recruiting agencies
- Education and training providers
- B2B outreach professionals and data analysts

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

Whether you need a pharmacy technician lead finder for outreach, a pharmacy technician contact scraper for research, or a pharmacy technician data scraper to enrich your CRM — this actor does it in one automated run. It doubles as a pharmacy technician email extractor to surface verified inboxes and supports building a scalable pharmacy technician list across multiple cities.

---

#### 📦 What Data Does It Extract?

| Field | Description |
|---|---|
| Business Name | Practice, pharmacy, training center, 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 emails extracted from website pages |
| Additional Phones | Extra phone numbers discovered during crawl |
| Social Media Links | Facebook, Instagram, LinkedIn, 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": "Pharmacy Technician",
  "googleMapsLocation": ["New York"],
  "maxBusinesses": 25
}
````

##### Full Example With All Options

```json
{
  "googleMapsSearchTerm": "Pharmacy Technician",
  "googleMapsLocation": [
    "New York",
    "Austin, Texas",
    "Los Angeles, California"
  ],
  "maxBusinesses": 200,
  "scrapeMaxBusinessesPerLocation": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

##### Input Parameters

| Parameter | Type | Required | Description |
|---|---|---|---|
| googleMapsSearchTerm | String | Yes | Business type or niche to search — e.g., "Pharmacy Technician", "pharmacy technician training", "retail pharmacy" |
| googleMapsLocation | Array | Yes | One or more locations — e.g., \["New York", "Miami, Florida"] |
| maxBusinesses | Number | No | Target number of businesses with emails to return (1–1,000). The actor stops when this is reached |
| scrapeMaxBusinessesPerLocation | Boolean | No | If true, applies the cap per location. If false, uses a combined total across all locations |
| proxyConfiguration | Object | No | Proxy settings. Strongly recommended for large runs to avoid rate limits |

***

#### 📤 Sample Output

```json
[
  {
    "name": "MetroRx Pharmacy & Training Center",
    "website": "https://www.metrorxtraining.com",
    "phone": "+1 212-555-0142",
    "full_address": "455 Lexington Ave, New York, NY 10017, United States",
    "city": "New York",
    "state": "NY",
    "zip": "10017",
    "country_code": "US",
    "scraped_emails": [
      "info@metrorxtraining.com",
      "admissions@metrorxtraining.com"
    ],
    "scraped_phones": ["+1 212-555-0142", "+1 212-555-0190"],
    "scraped_social_media": [
      "facebook:https://facebook.com/metrorxtraining",
      "linkedin:https://linkedin.com/company/metrorxtraining"
    ],
    "emails_found": 2,
    "pages_scraped": 18,
    "avg_rating": 4.6,
    "total_reviews": 83,
    "lat": 40.7546,
    "long": -73.9730,
    "place_id": "ChIJ-EXAMPLE-PLACEID",
    "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 pharmacy technician email scraper is built to work as both a pharmacy technician lead finder and a pharmacy technician email extractor — discovery and extraction in a single automated pipeline.

***

#### ✨ Key Features

##### 🎯 Precise Location Targeting

Enter any city, state, or region. The actor pinpoints relevant businesses and programs in your exact target areas — delivering hyper-local pharmacy technician leads.

##### 🔍 Deep Website Crawl

Beyond listings, it crawls contact, about, careers, and footer sections to surface every publicly available pharmacy technician email and phone number.

##### 🌎 Multi-Location Scaling

Run across dozens of cities in parallel and choose a combined cap or a per-location cap — ideal for growing a broad pharmacy technician list.

##### 🧹 Smart De-Duplication

Automatically removes duplicate emails per domain so your contacts stay clean and campaign-ready.

##### 📊 Structured, CRM-Ready Output

Normalized fields for seamless import into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool — powered by a robust pharmacy technician data scraper workflow.

##### 🛡️ Proxy-Ready For Reliability

Built-in proxy support enables stable runs at scale without rate-limiting — perfect for agency operations using a pharmacy technician lead scraper.

##### ⏱️ Stop At Your Target

The actor halts as soon as your maxBusinesses limit is reached — efficient, predictable runs every time.

##### 🔄 Schedulable & Repeatable

Schedule daily, weekly, or monthly runs to continuously grow and refresh your pharmacy technician leads.

***

#### 🎯 Use Cases

##### 💼 B2B Outreach & Sales

Build pitch lists targeting retail pharmacies, compounding labs, hospital systems, and training providers. Use as a pharmacy technician contact finder to fuel cold email sequences and capture each relevant pharmacy technician email.

##### 🧑‍⚕️ Staffing & Recruiting

Identify employers, HR pages, and training schools actively engaging techs. The built-in pharmacy technician lead finder and pharmacy technician lead scraper uncover contacts you might miss manually — including program coordinators and hiring inboxes.

##### 📣 Local & Regional Marketing

Create geo-targeted campaigns with verified emails and phones pulled directly from business websites. Quickly assemble a comprehensive pharmacy technician list for your region.

##### 🗃️ CRM Enrichment & Data Ops

Fill gaps in existing records with missing emails, phones, and social URLs. This streamlined pharmacy technician data scraper also doubles as a pharmacy technician contact scraper for continuous enrichment.

##### 🤝 Partnerships & Education

Find training centers and certification programs for partnership outreach or cohorts. Leverage the pharmacy technician email finder to access admissions and program contact emails.

***

#### 📈 How Many Results Can You Get?

Scale from a small prospect list to a large multi-market database — results depend on:

- Number of locations added
- Search term breadth (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 steadily grow your pharmacy technician 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 contacts are found |
| Webhooks | Push results to your CRM or pipeline on run completion |

Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach platform that accepts 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 "pharmacy technician email scraper" in the Apify Store and click Try for free.

Step 3 — Set Your Search Term\
Enter "Pharmacy Technician" or variants like "pharmacy technician training", "retail pharmacy", or "pharmacy staffing".

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

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 pharmacy technician 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:

- GDPR (EU)
- 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?\
A: No. The actor only extracts emails that are publicly visible on business or program websites.

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.

Q: Does it deduplicate emails and domains?\
A: Yes. Emails are deduplicated per domain to keep your list clean.

Q: Can I schedule recurring runs?\
A: Absolutely. Use Apify’s scheduler to run weekly or monthly and keep your contacts fresh.

Q: What kinds of search terms work best?\
A: Try "Pharmacy Technician", "pharmacy technician training", "retail pharmacy", "hospital pharmacy", or "pharmacy certification".

Q: Are proxies required?\
A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and maintain stability.

Q: What export formats are available?\
A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhooks.

Q: How is this different from manual Google searching?\
A: Manual research is slow and inconsistent. This actor automates discovery and contact extraction in one pipeline, returning structured, export-ready data in minutes.

***

*Built for marketers, recruiters, and operations teams who need a reliable pharmacy technician email scraper to scale outreach — fast.*

#### 🧑‍💻 Support & Custom Solutions

Have a question, feature request, or need a custom build? We’re happy to help with:

- Custom input/output fields and normalisation
- Niche-specific adaptations and site rules
- Bulk or enterprise run support
- CRM and workflow integrations

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

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

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

```

## MCP server setup

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

```

## OpenAPI specification

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