# Jumbo Argentina Grocery Price Scraper (`scrapers_lat/jumbo-ar-scraper`) Actor

Scrape Jumbo product prices from Argentina's supermarket catalog. Extract name, brand, price and list price in pesos (ARS), EAN barcode, stock, seller and category across groceries, drinks and fresh food. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/scrapers\_lat/jumbo-ar-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Automation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

<!-- actor-banner -->
[![Jumbo Argentina Grocery Price Scraper](https://scrapers.lat/banners/jumbo-ar-scraper.png)](https://console.apify.com/actors/ZfJz4MPumf5IdZqBQ/input)
<!-- /actor-banner -->

## Jumbo Argentina Grocery Price Scraper

> Extract product prices, stock, EAN codes, and seller data from Jumbo, one of Argentina's largest supermarket chains, across groceries, drinks, fresh food, and home goods.

![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify&logoColor=white)
![Argentina](https://img.shields.io/badge/Coverage-Argentina-blue)
![Maintained](https://img.shields.io/badge/Maintained-Yes-brightgreen)
![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)

<table><tr>
<td align="center"><strong>22 fields</strong><br>per record</td>
<td align="center"><strong>Argentina</strong><br>coverage</td>
<td align="center"><strong>JSON / CSV / Excel</strong><br>output formats</td>
</tr></table>

<br>

### What you get

Each record is one purchasable product variant with its current price in Argentine pesos, ready to load into any database, spreadsheet, or price-monitoring pipeline:

- **imageUrl**: main product image
- **images**: all image URLs for the SKU (electronics often have several); imageUrl above is the first one
- **releaseDate**: catalog release date of the product, when provided
- **productReference**: manufacturer reference / model code from the catalog
- **installmentsTable**: full installment plan table per offer (number of payments, payment value, interest rate, total, payment method name)
- **priceValidUntil**: date the current price is valid until, when provided
- **promoTeasers**: names of active promotions or discounts applied to the offer
- **measurementUnit**: unit of measure for price-per-unit, when provided
- **unitMultiplier**: unit multiplier for price-per-unit, when provided
- **name**: full product name as listed
- **url**: direct link to the product page
- **productId**: unique Jumbo product id
- **sku**: unique SKU id for the variant
- **ean**: barcode (EAN), when published
- **referenceId**: internal reference code for the SKU
- **brand**: product brand, when published
- **categories**: full category path list from department down to subcategory
- **price**: current price in pesos for this offer
- **listPrice**: reference list price reported by the store
- **priceWithoutDiscount**: base price without promotional discount
- **sellingPrice**: full selling price for the offer
- **currency**: currency code for all prices (ARS)
- **availableQuantity**: units in stock
- **isAvailable**: whether the product is buyable right now
- **sellerName**: name of the seller fulfilling the offer
- **sellerId**: id of the seller
- **isMarketplace**: whether the offer comes from a third-party marketplace seller rather than Jumbo itself
- **description\***: product description text
- **specifications\***: detailed product attributes such as content, package size, product type, country of origin, ingredients, and nutrition labels
- **observedAt**: when this product was last seen by the scraper

\* These fields are only included when Include Product Details is enabled.

### Who is it for

| Use case | Who benefits |
|---|---|
| Grocery price monitoring | Retail and CPG teams tracking supermarket prices in Argentina |
| Promotion tracking | Analysts comparing list price against current price for discounts |
| Catalog enrichment | Teams matching products by EAN, SKU, and brand |
| Stock intelligence | Brands checking availability of their products on shelf |
| Data pipelines | Developers feeding BI tools, dashboards, or repricing engines |

### Frequently Asked Questions

**What can I search on Jumbo Argentina?**  
You can search the full catalog by keyword (for example "leche", "yerba mate", or "coca cola"), or restrict results to a department like Almacén, Bebidas, Lácteos, or Carnes. You can search several keywords and departments in a single run.

**How many results can I get per run?**  
You set the limit with Max Items. The Jumbo catalog serves results in pages of fifty and allows paging through roughly the first 2,500 products for any single search or department, so very broad queries are best narrowed with a keyword, department, or sort order.

**Does it report prices in Argentine pesos?**  
Yes. Every price field is in Argentine pesos and each record carries a currency code of ARS, so you can load the data without guessing the currency.

**Can I tell Jumbo's own offers apart from marketplace sellers?**  
Yes. Every record includes the seller name and id, plus an isMarketplace flag that is true when the offer comes from a third-party marketplace seller rather than from Jumbo directly.

**What happens to products with missing data?**  
Fields like brand or EAN are only filled when the store publishes them, so they may be empty on some products. Every record always includes the price, availability, identifiers, category, and a direct product link.



<!-- example-tasks -->
### Example use cases

Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:

- [Cooking Oil (Aceite) Prices on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/aceite-cooking-oil-prices-jumbo): Scrape live Cooking Oil (Aceite) Prices on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Rice (Arroz) Prices on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/arroz-rice-prices-jumbo-argentina): Scrape live Rice (Arroz) Prices on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Sugar (Azucar) Prices on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/azucar-sugar-prices-jumbo-argentina): Scrape live Sugar (Azucar) Prices on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Coffee (Cafe) Prices on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/cafe-coffee-prices-jumbo-argentina): Scrape live Coffee (Cafe) Prices on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Beer (Cerveza) Prices on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/cerveza-beer-prices-jumbo-argentina): Scrape live Beer (Cerveza) Prices on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Coca Cola Price Monitoring on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/coca-cola-price-monitoring-argentina): Scrape live Coca Cola Price Monitoring on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Pasta (Fideos) Prices on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/fideos-pasta-prices-jumbo-argentina): Scrape live Pasta (Fideos) Prices on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Milk (Leche) Prices on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/leche-milk-prices-jumbo-argentina): Scrape live Milk (Leche) Prices on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Diapers (Panales) Prices on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/panales-diapers-prices-jumbo-argentina): Scrape live Diapers (Panales) Prices on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Yerba Mate Prices on Jumbo Argentina](https://apify.com/scrapers_lat/jumbo-ar-scraper/examples/yerba-mate-prices-jumbo-argentina): Scrape live Yerba Mate Prices on Jumbo Argentina from the Jumbo Argentina catalog including prices, sellers, discounts and stock. Ready to run preset.

<!-- /example-tasks -->

<!-- x402 -->
### Export, API and AI agents (x402 + MCP)

Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.

For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
<!-- /x402 -->

<!-- related-actors -->
### Related scrapers

Need data from the same space? Here are other scrapers we build and maintain:

- [Chedraui Mexico Grocery Price Scraper](https://apify.com/scrapers_lat/chedraui-scraper): Scrape Chedraui Mexico product prices, EAN codes, stock, brands and installments by keyword or...
- [Dia Argentina Grocery Price Scraper](https://apify.com/scrapers_lat/dia-ar-scraper): Scrape Dia Argentina product prices, list prices, stock, EAN, brand and sellers by keyword or...
- [Disco Argentina Grocery Price Scraper](https://apify.com/scrapers_lat/disco-ar-scraper): Scrape Disco Argentina product prices, list prices, stock, EAN and sellers by keyword or category....
- [Elektra Mexico Product Price & Installment Scraper](https://apify.com/scrapers_lat/elektra-scraper): Scrape Elektra Mexico product prices, installment plans, EAN codes, stock, brands and sellers by...
- [Exito Colombia Grocery Price Scraper](https://apify.com/scrapers_lat/exito-scraper): Extract product data from Exito Colombia by keyword or category. Scrape prices, list prices, stock...
- [MercadoLibre Product Listings Scraper](https://apify.com/scrapers_lat/mercadolibre-scraper): Extract products, prices and seller data from MercadoLibre across 18 LATAM countries. Scrape...

<!-- /related-actors -->

<!-- scrapers-lat-cta -->
### More scrapers at scrapers.lat

This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).

---

> This actor is an independent tool and has no affiliation with Jumbo, Cencosud, or any of their brands. It only accesses data that is publicly available on the platform. Use it in accordance with Jumbo's terms of service.

# Actor input Schema

## `maxItems` (type: `integer`):

Maximum number of product offers to collect across all search terms and categories. Each available SKU and seller is one record. Optional.
## `withDetails` (type: `boolean`):

When enabled, each record also includes the product description and specification attributes (content, package size, product type, etc.) from the Jumbo catalog.
## `searchTerms` (type: `array`):

Full-text queries to search the Jumbo Argentina catalog (e.g. "leche", "yerba mate", "coca cola"). Each term is searched separately. Maps to the VTEX ft parameter.
## `categories` (type: `array`):

Restrict results to one or more Jumbo departments. Use either a numeric VTEX category id or a category path. Top-level department ids: 1 Almacén, 2 Bebidas, 3 Frutas y Verduras, 4 Carnes, 5 Pescados y Mariscos, 6 Quesos y Fiambres, 7 Lácteos, 8 Congelados, 9 Panaderia y Pasteleria, 10 Rotiseria, 11 Perfumería, 13 Limpieza, 14 Mascotas, 15 Electro, 16 Hogar y textil, 457 Mundo Bebe, 465 Tiempo Libre. Paths look like "Lácteos/Leches". Maps to the VTEX fq=C: filter.
## `sortOrder` (type: `string`):

Order in which the catalog returns products. Maps to the VTEX O parameter.
## `proxyConfiguration` (type: `object`):

Proxy settings. The Jumbo Argentina VTEX catalog API has no anti-bot protection and works from datacenter IPs, so a proxy is optional. If you ever see geo-blocking from your region, enable Apify Residential proxy with country Argentina.

## Actor input object example

```json
{
  "maxItems": 10,
  "withDetails": true,
  "searchTerms": [
    "leche"
  ],
  "sortOrder": "",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
````

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "maxItems": 10,
    "searchTerms": [
        "leche"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/jumbo-ar-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 = {
    "maxItems": 10,
    "searchTerms": ["leche"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/jumbo-ar-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 '{
  "maxItems": 10,
  "searchTerms": [
    "leche"
  ]
}' |
apify call scrapers_lat/jumbo-ar-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Jumbo Argentina Grocery Price Scraper",
        "description": "Scrape Jumbo product prices from Argentina's supermarket catalog. Extract name, brand, price and list price in pesos (ARS), EAN barcode, stock, seller and category across groceries, drinks and fresh food. Export to JSON, CSV or Excel.",
        "version": "0.1",
        "x-build-id": "EEdCL66MfDIRp0sPb"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapers_lat~jumbo-ar-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapers_lat-jumbo-ar-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapers_lat~jumbo-ar-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapers_lat-jumbo-ar-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapers_lat~jumbo-ar-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapers_lat-jumbo-ar-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Maximum number of product offers to collect across all search terms and categories. Each available SKU and seller is one record. Optional."
                    },
                    "withDetails": {
                        "title": "Include Product Details",
                        "type": "boolean",
                        "description": "When enabled, each record also includes the product description and specification attributes (content, package size, product type, etc.) from the Jumbo catalog.",
                        "default": true
                    },
                    "searchTerms": {
                        "title": "Search Terms",
                        "type": "array",
                        "description": "Full-text queries to search the Jumbo Argentina catalog (e.g. \"leche\", \"yerba mate\", \"coca cola\"). Each term is searched separately. Maps to the VTEX ft parameter.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "categories": {
                        "title": "Categories",
                        "type": "array",
                        "description": "Restrict results to one or more Jumbo departments. Use either a numeric VTEX category id or a category path. Top-level department ids: 1 Almacén, 2 Bebidas, 3 Frutas y Verduras, 4 Carnes, 5 Pescados y Mariscos, 6 Quesos y Fiambres, 7 Lácteos, 8 Congelados, 9 Panaderia y Pasteleria, 10 Rotiseria, 11 Perfumería, 13 Limpieza, 14 Mascotas, 15 Electro, 16 Hogar y textil, 457 Mundo Bebe, 465 Tiempo Libre. Paths look like \"Lácteos/Leches\". Maps to the VTEX fq=C: filter.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "sortOrder": {
                        "title": "Sort Order",
                        "enum": [
                            "",
                            "OrderByPriceASC",
                            "OrderByPriceDESC",
                            "OrderByTopSaleDESC",
                            "OrderByNameASC",
                            "OrderByNameDESC",
                            "OrderByReleaseDateDESC",
                            "OrderByBestDiscountDESC"
                        ],
                        "type": "string",
                        "description": "Order in which the catalog returns products. Maps to the VTEX O parameter.",
                        "default": ""
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Proxy settings. The Jumbo Argentina VTEX catalog API has no anti-bot protection and works from datacenter IPs, so a proxy is optional. If you ever see geo-blocking from your region, enable Apify Residential proxy with country Argentina.",
                        "default": {
                            "useApifyProxy": false
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
