# Private School Email Scraper (`contacts-api/private-school-email-scraper`) Actor

Private school email scraper to extract verified emails from private schools, independent academies, educational institutions, and school directories 📧🏫 Perfect for education outreach, partnerships, student recruitment, and academic lead generation.

- **URL**: https://apify.com/contacts-api/private-school-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, 0 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

### 🏫 Private School Email Scraper — Build Verified School Contacts Fast

> The fastest way to build a targeted private school list. This actor searches Google Maps for private schools across any city, crawls their websites, and extracts private school email addresses, phone numbers, and social media profiles — all in one clean, export-ready dataset. Use it to generate qualified private school leads with a reliable private school email extractor and a robust private school contact scraper in a single workflow.

---

#### 🚀 Quick Start

1. Enter your search term — e.g., "Private School"
2. Add one or more target locations — e.g., "New York", "Miami, Florida"
3. Set your desired number of schools with emails
4. Hit Run and get your results in minutes

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

---

#### 💡 What Is the Private School Email Scraper?

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

- EdTech and SaaS vendors selling into K–12
- Curriculum providers, enrichment programs, and after-school services
- Fundraising, alumni, and admissions outreach teams
- Agencies and SDR teams sourcing private school leads

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

Whether you need it as a private school lead finder, a private school lead scraper, a private school email finder, or a private school contact finder — this actor covers all four in a single automated run.

---

#### 📦 What Data Does It Extract?

| Field | Description |
|---|---|
| Business Name | School 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 private school email addresses 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 school |
| 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 |

Notes:
- Emails may include general inboxes (info@, admissions@), department contacts, and other public private school email addresses found on Contact, Admissions, and Staff pages.
- All fields map directly to the output dataset for easy export and integration.

---

#### ⚙️ Input Configuration

##### Minimal Example

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

##### Full Example with All Options

```json
{
  "googleMapsSearchTerm": "Private School",
  "googleMapsLocation": [
    "New York",
    "Miami, Florida",
    "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., "Private School", "Catholic school", "boarding school" |
| `googleMapsLocation` | Array | Yes | One or more target locations — e.g., \["New York", "Austin, Texas"] |
| `maxBusinesses` | Number | No | Max schools with emails to return (1–1,000). The run halts when this target is reached |
| `scrapeMaxBusinessesPerLocation` | Boolean | No | If true, applies the cap per location. If false, it's a combined total across all locations |
| `proxyConfiguration` | Object | No | Proxy settings. Strongly recommended for larger runs and multi-region scrapes |

***

#### 📤 Sample Output

```json
[
  {
    "name": "Riverview Academy",
    "website": "https://www.riverviewacademy.org",
    "phone": "+1 212-555-0147",
    "full_address": "200 Riverside Dr, New York, NY 10025, United States",
    "city": "New York",
    "state": "NY",
    "zip": "10025",
    "country_code": "US",
    "scraped_emails": [
      "admissions@riverviewacademy.org",
      "info@riverviewacademy.org"
    ],
    "scraped_phones": ["+1 212-555-0147", "+1 212-555-0183"],
    "scraped_social_media": [
      "facebook:https://facebook.com/riverviewacademy",
      "linkedin:https://linkedin.com/school/riverviewacademy"
    ],
    "emails_found": 2,
    "pages_scraped": 12,
    "avg_rating": 4.6,
    "total_reviews": 89,
    "lat": 40.7916,
    "long": -73.9813,
    "place_id": "ChIJx-EXAMPLERIVER",
    "scrape_status": "success"
  }
]
```

***

#### 🔧 How It Works — Under the Hood

```
Step 1 → Search Google Maps using your term + location
Step 2 → Collect school listings (name, address, phone, website)
Step 3 → Visit each website and crawl key pages (Home, Contact, Admissions, Staff)
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 work as both a private school lead finder and a private school lead scraper — as well as a private school email finder and private school email extractor — in a single automated pipeline.

***

#### ✨ Key Features

##### 🎯 Precise Location Targeting

Enter any city, state, or region. The actor pinpoints schools in your exact target areas — delivering hyper-local private school leads.

##### 🔍 Deep Website Crawl

Goes beyond the listing. Crawls homepages, contact pages, admissions pages, staff directories, and footers to surface every available public private school email and phone number.

##### 🌎 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 private school list.

##### 🧭 Directory & Admissions Coverage

Optimized to scan high-signal pages where contacts live: Contact, Admissions, Faculty/Staff, and Athletics — acting as a reliable private school contact finder when directories are available.

##### 🧹 Smart De-Duplication

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

##### 📊 Structured, CRM-Ready Output

Consistent field names and normalized values. Plug results into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool without reformatting — ideal for vendors using a private school data scraper for enrichment.

##### 🛡️ Proxy-Ready for Reliability

Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks — essential for agency-level campaigns targeting private school leads across multiple regions.

##### ⏱️ Stop at Your Target

The run halts as soon as your maxBusinesses limit is reached — saving compute and budget.

##### 🔄 Schedulable & Repeatable

Run daily, weekly, or monthly to continuously grow and refresh your private school list with current contacts.

***

#### 🎯 Use Cases

##### 💼 B2B Outreach & Sales

Fill your pipeline with verified private school leads for EdTech, tutoring, curriculum, and facility services. Use this as your private school email scraper to fuel targeted email sequences.

##### 🎓 Admissions & Community Partnerships

Identify peer institutions and regional partners. The private school contact scraper makes it simple to collect public inboxes for collaboration outreach.

##### 📣 Regional Marketing Campaigns

Create geo-targeted campaigns with private school email contacts and phone numbers pulled directly from school websites.

##### 🗃️ CRM Enrichment & Data Hygiene

Use the private school email finder to enrich existing records with missing emails, phones, and social profiles — and keep them clean with deduplication.

##### 🧪 Market Research & Benchmarking

Compile a private school list by city or state to assess coverage, compare ratings/reviews, and map opportunities.

##### 🏢 Agency Client Delivery

Run repeatable scrapes and deliver fresh private school leads to clients on a predictable schedule.

***

#### 📈 How Many Results Can You Get?

Scale from a small target list to a multi-state database — results depend on:

- Number of locations added
- Search term breadth (e.g., “Private School” vs. specific denominations)
- 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 | Schools 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 times across different regions to continuously grow your private school list without hitting any 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 |

Pipe outputs from the private school email scraper 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 "Private School Email Scraper" in the Apify Store and click Try for free.

Step 3 — Set Your Search Term\
Enter "Private School" or a niche variant like "Catholic school", "Montessori school", or "boarding school".

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 schools 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 Private School 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 school 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 by this private school data scraper.

***

#### ❓ Frequently Asked Questions

Q: Does this scrape private or personal emails?\
A: No. The actor only extracts emails that are publicly visible on school websites — general inboxes, admissions contacts, and departmental addresses.

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: How does it find emails on school sites?\
A: It crawls Contact, Admissions, Staff/Faculty, and footer sections to surface public private school email addresses and phone numbers.

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

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

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

Q: What roles or pages does it cover?\
A: It focuses on high-signal public pages and may capture departments like Admissions, Athletics, or Administration when emails are published.

Q: How is this different from manual Google searching?\
A: Manual search is slow and inconsistent. This private school data scraper automates discovery and extraction — acting as a private school lead scraper and private school contact scraper — producing structured output in minutes.

Q: Can agencies white-label or resell this?\
A: Yes. Run it on behalf of clients and deliver fresh private school leads on a recurring basis.

Q: Can it enrich my existing records?\
A: Yes. Use the private school email finder to append emails, phones, and social links to an existing database.

***

#### 🧑‍💻 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., Montessori, boarding, denominational schools)
- Bulk or enterprise run support
- Integration assistance and workflow automation

Built for vendors, marketers, and outreach teams who need accurate private school 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": "Private School",
  "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": "Private School",
    "googleMapsLocation": [
        "New York"
    ],
    "maxBusinesses": 5,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

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

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

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Private School Email Scraper",
        "description": "Private school email scraper to extract verified emails from private schools, independent academies, educational institutions, and school directories 📧🏫 Perfect for education outreach, partnerships, student recruitment, and academic lead generation.",
        "version": "1.0",
        "x-build-id": "hW60ghaAUdlBaq8eb"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/contacts-api~private-school-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-contacts-api-private-school-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/contacts-api~private-school-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-contacts-api-private-school-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/contacts-api~private-school-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-contacts-api-private-school-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": "Private School"
                    },
                    "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
