# Amazon Seller Data Extractor (`scraperx/amazon-seller-data-extractor`) Actor

📊 Amazon Seller Data Extractor helps extract key seller insights from Amazon—seller profiles, listings, reviews & more. ⚡ Fast, reliable, and SEO-friendly for market research, competitor analysis, and smarter sales decisions. 🚀

- **URL**: https://apify.com/scraperx/amazon-seller-data-extractor.md
- **Developed by:** [ScraperX](https://apify.com/scraperx) (community)
- **Categories:** E-commerce, SEO tools, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

### 🛒 Amazon Seller Data Extractor Scraper — The Ultimate Tool for Amazon Data Mining

Looking for the best way to extract Amazon seller data at scale? ⚙️  
The Amazon Seller Data Extractor Scraper is your go-to solution for collecting accurate, real-time seller insights directly from Amazon — all within minutes. Whether you’re using it for market research, competitive analysis, or lead generation, this Apify-powered Amazon scraper makes data scraping from Amazon effortless and efficient.

* * *

### 🤔 What does Amazon Seller Data Extractor Scraper do?

The Amazon Seller Data Extractor Scraper is a powerful Amazon data scraping tool built to collect seller-specific data such as store names, business addresses, ratings, reviews, contact details, and more. 🧠

By using this Amazon scraper API, you can automatically extract verified and structured seller information, helping you make data-driven business decisions.

✨ SEO Benefit: Marketers and eCommerce analysts use this scraper to gather high-quality data for competitor tracking, price comparison, and market intelligence, boosting their Amazon SEO strategy and sales optimization.

### 📦 What Amazon Seller Data Extractor Scraper can extract?

Below is a quick overview of the types of data you can extract from Amazon sellers 👇

| 🧾 Data Type | 📘 Description |
| --- | --- |
| Seller ID | Unique identifier of the Amazon seller |
| Store Name | Official seller name as listed on Amazon |
| Business Address | Complete physical address of the seller |
| Contact Info | Phone number or email (if publicly available) |
| Ratings & Reviews | Overall rating score and feedback count |
| Storefront URL | Direct link to seller’s store page |
| About Seller | Business profile and seller description |
| Products Offered | List of best-selling or featured products |
| Country / Domain | Marketplace location (e.g., Amazon.com, Amazon.de) |

🧩 This data can be exported as JSON, CSV, or Excel, making it ideal for integration with your CRM or analytics dashboards.

#### ⚡ Key Features of Amazon Seller Data Extractor Scraper

Here’s what makes this scraper stand out from the rest:

*   🔍 Real-time Amazon Data Extraction: Fetch up-to-date seller information with every run.  
      
    
*   🧠 AI-Driven Accuracy: Powered by advanced Apify Amazon Scraper technology for consistent and accurate results.  
      
    
*   🌍 Multi-Domain Support: Works for all global Amazon marketplaces — US, UK, DE, IN, JP, and more.  
      
    
*   🔄 Proxy Rotation & CAPTCHA Handling: Prevents blocking and ensures smooth scraping at scale.  
      
    
*   🧰 Flexible Integration: Connect with Zapier, Google Sheets, or API endpoints for automation.  
      
    
*   🧾 Customizable Input: Choose specific sellers or categories with JSON configuration.  
      
    
*   🆓 Free & Paid Versions: Try the Amazon Seller Data Extractor Scraper free before upgrading for larger datasets.  
      
    
*   💻 Cross-Platform Use: Works via web, Amazon Scraper Chrome Extension, or Amazon-scraper GitHub repositories.  
      
    

### 🧭 How to Use Amazon Seller Data Extractor Scraper

Follow this easy, step-by-step guide 🪜

1.  Log in to Apify – Create a free account or sign in.  
      
    
2.  Select the Actor – Search for “Amazon Seller Data Extractor Scraper” in the Apify Store.  
      
    
3.  Enter Input Data – Provide seller IDs or product URLs in JSON format.  
      
    
4.  Choose Output Options – Select CSV, Excel, or JSON for exporting data.  
      
    
5.  Run the Scraper – Start extraction; data will be collected automatically.  
      
    
6.  Download Results – Access results from your Apify dataset or via Amazon scraper API integration.  
      
    

💡 Tip: For advanced users, you can automate the process with Amazon scraper Python scripts or trigger runs using Apify API endpoints.

### 🎯 Use Cases

Here’s how businesses are leveraging the Amazon Seller Data Extractor Scraper:

*   📊 Market Research: Identify seller trends, growth patterns, and regional activity.  
      
    
*   💰 Price Monitoring: Track competitor pricing and adjust your offers dynamically.  
      
    
*   🧾 Lead Generation: Build verified seller databases for outreach campaigns.  
      
    
*   🔍 Compliance Checks: Validate seller identities for B2B partnerships.  
      
    
*   🏬 Product Analysis: Discover which sellers dominate certain product categories.  
      
    
*   💼 Vendor Vetting: Evaluate potential suppliers before onboarding.  
      
    

🧠 From startups to enterprise-grade retailers, this Amazon seller scraper powers data-driven decisions and competitive edge.

### 💎 Why Choose Us?

We built the Amazon Seller Data Extractor Scraper for speed, reliability, and simplicity 💪

*   🚀 Fast Performance: Extracts thousands of seller profiles in minutes.  
      
    
*   🧩 High Accuracy: Clean, structured JSON ensures easy integration.  
      
    
*   🌐 Apify Cloud Integration: Runs seamlessly on Apify’s high-availability infrastructure.  
      
    
*   🛡️ Safe & Compliant: Adheres to best practices for ethical web scraping.  
      
    
*   🧠 Expert Support: Backed by a professional data scraping team with years of experience.  
      
    

With constant updates and 24/7 uptime, our scraper is trusted by marketers, analysts, and developers worldwide.

### 📈 How Many Results Can You Scrape?

Scalability is where our scraper shines 🌟

Depending on your input, the Amazon Seller Data Extractor Scraper can return hundreds to thousands of results in a single run.

Performance factors include:

*   Type of input (seller ID vs. category)  
      
    
*   Domain location (Amazon.com vs. Amazon.de)  
      
    
*   Server capacity & proxy configuration  
      
    

🧠 We regularly benchmark our system to maintain high throughput and reliability. For larger datasets, use pagination + Apify API scheduling for continuous data collection.

⚙️ Pro Tip: Want enterprise-grade scalability? Combine our Amazon scraper API with your ETL pipeline or data warehouse for real-time updates.

### ⚖️ Is It Legal to Scrape Amazon?

Scraping publicly available Amazon data (like seller names, ratings, and reviews) is generally legal, as long as it complies with:

*   Amazon’s Terms of Service  
      
    
*   Local data protection laws (like GDPR)  
      
    
*   Ethical scraping guidelines  
      
    

Our scraper is designed to respect these boundaries — it never accesses private or restricted information. Always use scraped data responsibly and for permitted business purposes ✅

### ⚙️ Input Parameters

Example JSON Input:
```json
{
  "startUrls": [
    {
      "url": "https://www.amazon.com/sp?seller=A33W53J5GVPZ8K"
    },
    {
      "url": "https://www.amazon.com/sp?seller=A2N5Q13T20FFT2"
    }
  ],
  "sortOrder": "recent",
  "maxComments": 0,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
````

### 🧾 Output Format

Example JSON Output:

```json
{
  "url": "https://www.amazon.com/sp?seller=A33W53J5GVPZ8K",
  "seller_id": "A33W53J5GVPZ8K",
  "seller_name": "Peckomatic",
  "description": "Peckomatic is committed to providing each customer with the highest standard of customer service.",
  "detailed_info": [
    {
      "title": "Business Name",
      "value": "Francis Kunnumpurath"
    },
    {
      "title": "Business Address",
      "value": "2612 state route 80, 2612 state route 80, Lafayette, NY, 13084, US"
    }
  ],
  "feedbacks": [
    {
      "stars": "5 out of 5 stars",
      "text": "It say not to exceed 10ths total but I did anyway. My bird was 8lbs + the 3lb box equal 11lbs . Bird arrived in great condition.",
      "date": "By Kao y. on November 16, 2021."
    }
  ],
  "stars": "4.5 out of 5 stars",
  "return_policy": [],
  "shipping_policies": "Unless noted otherwise in the ordering pipeline, Peckomatic ships all items within two days of receiving an order...",
  "privacy_security": "Amazon knows that you care how information about you is used and shared...",
  "privacy_policy": "Peckomatic values the privacy of your personal data.",
  "help_content": "For questions about a charge that has been made to your credit card, please contact Amazon...",
  "products_link": "https://www.amazon.com/s?ie=UTF8&marketplaceID=ATVPDKIKX0DER&me=A33W53J5GVPZ8K",
  "rating_positive": "88% positive",
  "feedbacks_percentages": {
    "star_5": "79%",
    "star_4": "10%",
    "star_3": "7%",
    "star_2": "0%",
    "star_1": "5%"
  },
  "rating_count_m12": 0,
  "rating_count_m3": 0,
  "rating_count_lifetime": 42,
  "rating_count_m1": 0,
  "country": "US",
  "timestamp": "2025-11-07T10:11:16.950694Z",
  "seller_phone_number": null
}  
```

### 💬 FAQ

#### 1. Is the Amazon Seller Data Extractor Scraper free?

Yes! 🎁 You can try the Amazon Seller Data Extractor Scraper free on Apify with limited runs.

#### 2. Can I download data as CSV or Excel?

Absolutely. You can download results in CSV, JSON, or Excel formats directly.

#### 3. Does it support all Amazon regions?

Yes — including Amazon.com, Amazon.de, Amazon.co.uk, Amazon.in, and others.

#### 4. Is this scraper available as a Chrome extension?

Yes! You can use the Amazon Scraper Chrome Extension for browser-based scraping.

#### 5. Can I use it via API or Python?

Definitely — access it through Apify Amazon Scraper API or integrate with your Amazon scraper Python scripts.

#### 6. Where can I find open-source versions?

Check Amazon-scraper GitHub repositories for community builds and examples.

#### 7. What’s the price of Amazon Seller Data Extractor Scraper?

The Amazon Seller Data Extractor Scraper price depends on your usage. Start free and scale affordably.

### 🌟 Ready to Extract Data from Amazon?

Try the Amazon Seller Data Extractor Scraper today — automate your data collection, fuel your analytics, and stay ahead of competitors 🚀

👉 Start your free trial on Apify now and transform raw Amazon data into business-ready intelligence!

# Actor input Schema

## `asinInputs` (type: `array`):

One ASIN per row (example: B00P8XQPY4). We’ll open each product page and pull the seller behind the offer 🏷️✨

## `usernameInputs` (type: `array`):

Amazon seller IDs like A33W53J5GVPZ8K — perfect when you already know exactly who you’re researching 🎯

## `keywordInputs` (type: `array`):

Search-style phrases (e.g. “handmade ceramics UK”, “electronics refurb”). Great for prospecting new storefronts 🧠💡

## `startUrls` (type: `array`):

Full Amazon seller profile links (e.g. https://www.amazon.com/sp?seller=…). Paste as many as you need — we’ll follow each one 🔗🚀

## `amazonDomain` (type: `string`):

Examples: amazon.com, amazon.co.uk, amazon.de, amazon.co.jp — pick the storefront your customers actually see 🗺️

## `language` (type: `string`):

Optional locale string (en-US, en-GB, de-DE…). Leave blank to let Amazon decide — totally fine for most runs 🎛️

## `proxyCountry` (type: `string`):

ISO-style country for routing (or AUTO ✨) — helps keep requests feeling local and natural 🧭

## `useCaptchaSolver` (type: `boolean`):

Flip ON if Amazon throws puzzles often — may add platform cost, but can rescue stubborn runs 🧩💳

## `sortOrder` (type: `string`):

How feedback is ordered when we collect it: freshest, most helpful, or by rating vibe 📑

## `maxComments` (type: `integer`):

Cap feedback rows per seller (0 = grab everything the page allows — slower but exhaustive 📚)

## `maxConcurrency` (type: `integer`):

Higher = faster 🏎️ but hotter on Amazon’s radar. Lower (1–5) = gentler, great for fragile storefronts 🐢💚

## `proxyConfiguration` (type: `object`):

🏠 Heads-up: this actor always runs on residential proxies for reliability. UI choices here stay for compatibility but may be overridden automatically — expand when you need granular proxy JSON 🛠️💡

## Actor input object example

```json
{
  "asinInputs": [
    "B00P8XQPY4"
  ],
  "usernameInputs": [],
  "keywordInputs": [],
  "startUrls": [],
  "amazonDomain": "amazon.com",
  "language": "",
  "proxyCountry": "AUTO",
  "useCaptchaSolver": false,
  "sortOrder": "recent",
  "maxComments": 10,
  "maxConcurrency": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "asinInputs": [
        "B00P8XQPY4"
    ],
    "usernameInputs": [],
    "keywordInputs": [],
    "startUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraperx/amazon-seller-data-extractor").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 = {
    "asinInputs": ["B00P8XQPY4"],
    "usernameInputs": [],
    "keywordInputs": [],
    "startUrls": [],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("scraperx/amazon-seller-data-extractor").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 '{
  "asinInputs": [
    "B00P8XQPY4"
  ],
  "usernameInputs": [],
  "keywordInputs": [],
  "startUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call scraperx/amazon-seller-data-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scraperx/amazon-seller-data-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Amazon Seller Data Extractor",
        "description": "📊 Amazon Seller Data Extractor helps extract key seller insights from Amazon—seller profiles, listings, reviews & more. ⚡ Fast, reliable, and SEO-friendly for market research, competitor analysis, and smarter sales decisions. 🚀",
        "version": "0.1",
        "x-build-id": "szftT0qEso4EWu7xd"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scraperx~amazon-seller-data-extractor/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scraperx-amazon-seller-data-extractor",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scraperx~amazon-seller-data-extractor/runs": {
            "post": {
                "operationId": "runs-sync-scraperx-amazon-seller-data-extractor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scraperx~amazon-seller-data-extractor/run-sync": {
            "post": {
                "operationId": "run-sync-scraperx-amazon-seller-data-extractor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "asinInputs": {
                        "title": "📦 Amazon ASINs (product codes)",
                        "type": "array",
                        "description": "One ASIN per row (example: B00P8XQPY4). We’ll open each product page and pull the seller behind the offer 🏷️✨",
                        "items": {
                            "type": "string"
                        }
                    },
                    "usernameInputs": {
                        "title": "👤 Seller usernames / merchant IDs",
                        "type": "array",
                        "description": "Amazon seller IDs like A33W53J5GVPZ8K — perfect when you already know exactly who you’re researching 🎯",
                        "items": {
                            "type": "string"
                        }
                    },
                    "keywordInputs": {
                        "title": "🔎 Keywords (discover sellers)",
                        "type": "array",
                        "description": "Search-style phrases (e.g. “handmade ceramics UK”, “electronics refurb”). Great for prospecting new storefronts 🧠💡",
                        "items": {
                            "type": "string"
                        }
                    },
                    "startUrls": {
                        "title": "🔗 Direct seller page URLs",
                        "type": "array",
                        "description": "Full Amazon seller profile links (e.g. https://www.amazon.com/sp?seller=…). Paste as many as you need — we’ll follow each one 🔗🚀",
                        "items": {
                            "type": "string"
                        }
                    },
                    "amazonDomain": {
                        "title": "🌐 Amazon domain",
                        "type": "string",
                        "description": "Examples: amazon.com, amazon.co.uk, amazon.de, amazon.co.jp — pick the storefront your customers actually see 🗺️",
                        "default": "amazon.com"
                    },
                    "language": {
                        "title": "🗣️ Page language (locale)",
                        "type": "string",
                        "description": "Optional locale string (en-US, en-GB, de-DE…). Leave blank to let Amazon decide — totally fine for most runs 🎛️",
                        "default": ""
                    },
                    "proxyCountry": {
                        "title": "🌎 Proxy country hint",
                        "type": "string",
                        "description": "ISO-style country for routing (or AUTO ✨) — helps keep requests feeling local and natural 🧭",
                        "default": "AUTO"
                    },
                    "useCaptchaSolver": {
                        "title": "🤖 Use captcha solver",
                        "type": "boolean",
                        "description": "Flip ON if Amazon throws puzzles often — may add platform cost, but can rescue stubborn runs 🧩💳",
                        "default": false
                    },
                    "sortOrder": {
                        "title": "⭐ Review sort order",
                        "enum": [
                            "recent",
                            "helpful",
                            "rating"
                        ],
                        "type": "string",
                        "description": "How feedback is ordered when we collect it: freshest, most helpful, or by rating vibe 📑",
                        "default": "recent"
                    },
                    "maxComments": {
                        "title": "💬 Max reviews per seller",
                        "minimum": 0,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Cap feedback rows per seller (0 = grab everything the page allows — slower but exhaustive 📚)",
                        "default": 10
                    },
                    "maxConcurrency": {
                        "title": "⚡ Max parallel requests",
                        "minimum": 1,
                        "maximum": 20,
                        "type": "integer",
                        "description": "Higher = faster 🏎️ but hotter on Amazon’s radar. Lower (1–5) = gentler, great for fragile storefronts 🐢💚",
                        "default": 10
                    },
                    "proxyConfiguration": {
                        "title": "🧩 Proxy configuration (optional)",
                        "type": "object",
                        "description": "🏠 Heads-up: this actor always runs on residential proxies for reliability. UI choices here stay for compatibility but may be overridden automatically — expand when you need granular proxy JSON 🛠️💡"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```