# Photographers Email Scraper (`contacts-api/photographers-email-scraper`) Actor

Photographers email scraper to extract verified photographer emails from portfolios, studio websites, and business directories 📧📸 Perfect for outreach, collaborations, and photography industry lead generation.

- **URL**: https://apify.com/contacts-api/photographers-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

### 📸 Photographers Email Scraper — Find Verified Leads in Minutes

> The fastest way to build a targeted photographers list and turn discovery into photographers leads. This actor searches Google Maps for photographers, crawls their websites, and acts as a photographers email extractor and photographers contact scraper — outputting verified photographers email addresses, phone numbers, and social media profiles in one export-ready dataset.

---

#### 🚀 Quick Start

1. Enter your search term — e.g., "Photographers", "Wedding Photographer", "Portrait Studio"
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 Photographers Email Scraper?

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

- Creative and marketing agencies
- Wedding planners, venues, and event vendors
- B2B tools serving creatives (CRMs, schedulers, invoicing apps)
- Gear rentals, labs, print houses, and SaaS providers
- Researchers and data analysts mapping local creative markets

It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data — producing an accurate, deduplicated photographers list ready for immediate outreach. Use it as a photographers lead finder, a photographers lead scraper, and a photographers email finder all in one automated run. It also doubles as a photographers contact finder and a reliable photographers data scraper to keep your pipeline full.

---

#### 📦 What Data Does It Extract?

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

---

#### ⚙️ Input Configuration

##### Minimal Example

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

##### Full Example with All Options

```json
{
  "googleMapsSearchTerm": "Wedding Photographer",
  "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 or niche — e.g., "Photographers", "Commercial Photographer", "Photo Studio" |
| `googleMapsLocation` | Array | ✅ Yes | One or more target locations — e.g., \["New York", "Austin, Texas"] |
| `maxBusinesses` | Number | ❌ No | Target number of businesses with emails to return (1–1,000). Stops when this target is reached |
| `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, caps results per location. If false, caps the combined total across all locations |
| `proxyConfiguration` | Object | ❌ No | Proxy settings. Recommended for large-scale scraping to avoid rate limits |

***

#### 📤 Sample Output

```json
[
  {
    "name": "Bright Frame Studios",
    "website": "https://www.brightframestudios.com",
    "phone": "+1 212-555-0148",
    "full_address": "245 W 29th St, New York, NY 10001, United States",
    "city": "New York",
    "state": "NY",
    "zip": "10001",
    "country_code": "US",
    "scraped_emails": [
      "hello@brightframestudios.com",
      "bookings@brightframestudios.com"
    ],
    "scraped_phones": ["+1 212-555-0148", "+1 212-555-0172"],
    "scraped_social_media": [
      "instagram:https://instagram.com/brightframestudios",
      "facebook:https://facebook.com/brightframestudios"
    ],
    "emails_found": 2,
    "pages_scraped": 11,
    "avg_rating": 4.9,
    "total_reviews": 86,
    "lat": 40.7492,
    "long": -73.9947,
    "place_id": "ChIJ-EXAMPLE123",
    "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, Services, Footer)
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
```

This actor is built to work as both a photographers lead finder and a photographers lead scraper — performing discovery and contact extraction in a single automated pipeline.

***

#### ✨ Key Features

##### 🎯 Precise Location Targeting

Pinpoint studios and freelancers in your exact target cities, states, or regions — delivering hyper-local photographers leads you can act on immediately.

##### 🔍 Deep Website Crawl & Extraction

Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public photographers email and phone number. Acts as a dependable photographers email extractor for domains small and large.

##### 🌎 Multi-Location Scaling

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

##### 🧹 Smart De-Duplication

Automatically removes duplicate emails per domain and normalizes output so your list stays clean — perfect for any photographers email finder workflow.

##### 📊 Structured, CRM-Ready Output

Normalized fields drop straight into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool. Use it as a reliable photographers data scraper feeding your growth stack.

##### 🛡️ Proxy-Ready for Reliability

Built-in proxy support keeps large runs stable without rate-limiting or IP blocks — exactly what a production-grade photographers contact scraper needs.

##### ⏱️ Stop at Your Target

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

##### 🔄 Schedulable & Repeatable

Run daily, weekly, or monthly to continuously grow and refresh your photographers leads.

***

#### 🎯 Use Cases

##### 💼 B2B Outreach & Sales

Build pitch lists for studios and freelancers to promote software, gear rentals, printing labs, or editing services. Feed your SDRs fresh photographers leads every week.

##### 💍 Wedding & Event Partnerships

Find wedding photographers by city and curate a high-intent partner roster for venues, planners, florists, DJs, and caterers — all from a verified photographers list.

##### 📣 Local & Regional Marketing

Launch geo-targeted campaigns with verified photographers email and phone contacts pulled directly from business websites.

##### 🧰 Marketplace & SaaS Onboarding

Populate your marketplace or creative SaaS with verified profiles using the built-in photographers contact finder, ensuring quality signups in new regions.

##### 📚 Education, Research & Surveys

Map the creative economy for courses, surveys, or public datasets. Run the photographers data scraper on a schedule to track market changes over time.

##### 🏢 Agency Client Delivery

Offer recurring data drops and audits for clients using a dependable photographers lead scraper — schedule, export, and deliver on repeat.

##### 🗃️ CRM Enrichment

Fill gaps with missing emails, phones, and social profiles using your preferred photographers email finder workflow.

***

#### 📈 How Many Results Can You Get?

Scale from a small prospect list to a large regional 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 continuously grow your photographers 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 |

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 "Photographers Email Scraper" in the Apify Store and click Try for free.

Step 3 — Set Your Search Term\
Enter "Photographers" or a niche variant like "Wedding Photographer", "Portrait Studio", or "Real Estate Photographer".

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

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

Step 6 — Choose Scaling Strategy

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

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

Step 8 — Run 🚀\
Click Start and let the photographers email scraper do the work.

Step 9 — Export\
Download as JSON, CSV, or Excel — or pull via API/webhook 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 (European Union)
- CAN-SPAM Act (United States)
- CASL (Canada)
- PECR (United Kingdom)

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

***

#### ❓ Frequently Asked Questions

Q: Does this scrape private or personal emails?\
A: No. The actor only extracts emails that are publicly visible on business websites — typical studio inboxes and inquiry addresses. If an individual publishes a personal inbox as their business contact, it may appear as a photographers email in results.

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

Q: Does it deduplicate results?\
A: Yes. Emails are deduplicated per domain to keep your list accurate and ready for import.

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

Q: What niches does the search term support?\
A: Any Google Maps–searchable term — try "Wedding Photographer", "Commercial Photographer", "Portrait Studio", "Event Photographer", or "Real Estate Photographer".

Q: Do I need proxies?\
A: Not for small runs, but proxies are strongly recommended for 200+ businesses per run to avoid rate limits.

Q: How is this different from manual Google searching?\
A: Manual search is slow and inconsistent. This workflow automates discovery and extraction end-to-end as a photographers contact finder and photographers email finder, saving hours per campaign.

Q: Can agencies white-label or resell this?\
A: Yes. Run it on behalf of clients and deliver fresh data as a managed photographers data scraper service.

***

#### 🧑‍💻 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., wedding vs. commercial)
- Bulk or enterprise run support
- Integration assistance

***

*Built for agencies, vendors, and outreach teams who need accurate photographers leads at scale — fast, reliable, and powered by a streamlined photographers email scraper pipeline.*

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

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

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

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Photographers Email Scraper",
        "description": "Photographers email scraper to extract verified photographer emails from portfolios, studio websites, and business directories 📧📸 Perfect for outreach, collaborations, and photography industry lead generation.",
        "version": "1.0",
        "x-build-id": "d0kiSpNfqsV2Gg5Ju"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/contacts-api~photographers-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-contacts-api-photographers-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/contacts-api~photographers-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-contacts-api-photographers-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/contacts-api~photographers-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-contacts-api-photographers-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": "Photographers"
                    },
                    "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
