# Olimpica Colombia Grocery Price Scraper (`scrapers_lat/olimpica-scraper`) Actor

Scrape Olimpica product prices from Colombia's grocery and retail catalog. Extract name, brand, price and list price in COP, EAN barcode, stock, seller and installment plans by keyword or category. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/scrapers\_lat/olimpica-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 -->
[![Olimpica Colombia Grocery Price Scraper](https://scrapers.lat/banners/olimpica-scraper.png)](https://console.apify.com/actors/FfR6yKGeV4q7Rv2ev/input)
<!-- /actor-banner -->

## Olimpica Colombia Grocery Price Scraper

> Extract product prices, barcodes, stock, and seller data from Olimpica, one of Colombia's three largest grocery and retail chains with a full online catalog spanning food, beauty, electronics, and home.

![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify&logoColor=white)
![Colombia](https://img.shields.io/badge/Coverage-Colombia-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>23 fields</strong><br>per record</td>
<td align="center"><strong>Colombia</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 offer (a single SKU sold by a single seller), priced in Colombian pesos and 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
- **brand**: product brand, when published
- **category**: top category path for the product
- **url**: direct link to the product page
- **productId**: unique Olimpica product id
- **sku**: unique SKU id for the variant
- **ean**: barcode (EAN), when published
- **referenceId**: seller reference code for the SKU, when published
- **price**: current price for this seller, in COP
- **listPrice**: reference list price before discount, in COP
- **priceWithoutDiscount**: base price without promotional discount, in COP
- **currency**: ISO currency code (COP)
- **installments**: best installment plan (number of installments, value per installment, interest rate, interest-free flag, total)
- **available**: whether the offer is buyable right now
- **stock**: units the seller has in stock
- **seller**: name of the seller fulfilling the offer
- **sellerId**: seller identifier on the marketplace
- **isMarketplace**: whether the offer is from a third-party marketplace seller rather than Olimpica itself
- **categories**: full category path list for the product
- **description\***: product description text
- **specifications\***: structured product specifications
- **images\***: full image gallery for the product
- **observedAt**: when this offer was last seen by the scraper

*\*These fields only appear when Include Details is set to true.*

### Who is it for

| Use case | Who benefits |
|---|---|
| Grocery price monitoring | Retail teams tracking competitor pricing in Colombia |
| Catalog enrichment | Teams matching products by EAN, SKU, and brand |
| Marketplace research | Brands auditing third-party sellers reselling their products |
| Installment intelligence | Analysts comparing interest-free installment offers |
| Data pipelines | Developers feeding BI tools, dashboards, or repricing engines |

### Frequently Asked Questions

**What can I search on Olimpica?**  
You can search the full catalog by keyword (for example "arroz", "cafe", or "pañales"), or restrict results to one or more departments by their numeric category id such as 900000000 for Supermercado or 8000000 for Belleza. You can also paste a full Olimpica catalog search URL to reuse its exact filters and sorting.

**Are prices in Colombian pesos?**  
Yes. Every price field is returned in Colombian pesos (COP) exactly as published on the store, and each record carries the currency code so it is unambiguous in mixed datasets.

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

**Does it include barcodes and marketplace sellers?**  
Yes. Most products publish an EAN barcode, and Olimpica lists both its own offers and third-party marketplace sellers. Each offer is returned separately with its seller name, marketplace flag, stock, and price.

**What happens to products with missing data?**  
Fields like brand, EAN, reference code, or installments are only filled when the store publishes them, so they may be empty on some offers. Every record always includes the price, currency, seller, availability, identifiers, 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 Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/aceite-cooking-oil-prices-olimpica): Scrape Cooking Oil (Aceite) Prices on Olimpica Colombia from the Olimpica Colombia catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Rice (Arroz) Prices on Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/arroz-rice-prices-olimpica-colombia): Scrape Rice (Arroz) Prices on Olimpica Colombia from the Olimpica Colombia catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Canned Tuna (Atun) Prices on Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/atun-canned-tuna-prices-olimpica): Scrape Canned Tuna (Atun) Prices on Olimpica Colombia from the Olimpica Colombia catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Coffee (Cafe) Prices on Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/cafe-coffee-prices-olimpica-colombia): Scrape Coffee (Cafe) Prices on Olimpica Colombia from the Olimpica Colombia catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Beer (Cerveza) Prices on Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/cerveza-beer-prices-olimpica-colombia): Scrape Beer (Cerveza) Prices on Olimpica Colombia from the Olimpica Colombia catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Milk (Leche) Prices on Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/leche-milk-prices-olimpica-colombia): Scrape Milk (Leche) Prices on Olimpica Colombia from the Olimpica Colombia catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Diapers (Panales) Prices on Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/panales-diapers-prices-olimpica-colombia): Scrape Diapers (Panales) Prices on Olimpica Colombia from the Olimpica Colombia catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Shampoo Prices on Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/shampoo-prices-olimpica-colombia): Scrape Shampoo Prices on Olimpica Colombia from the Olimpica Colombia catalog including prices, sellers, discounts and stock. Ready to run preset.
- [Smartphone Prices on Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/smartphone-prices-olimpica-colombia): Scrape smartphone listings from the Olimpica Colombia catalog including prices, sellers, discounts and stock. Ready to run preset.
- [TV (Televisor) Prices on Olimpica Colombia](https://apify.com/scrapers_lat/olimpica-scraper/examples/televisor-tv-prices-olimpica-colombia): Scrape TV (Televisor) Prices on Olimpica Colombia from the Olimpica Colombia 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 Olimpica. It only accesses data that is publicly available on the platform. Use it in accordance with Olimpica's terms of service.

# Actor input Schema

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

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

When enabled, each record is enriched with the product description, full specifications and the complete image gallery, and is emitted as a details event. When disabled, only the listing-level fields are returned.
## `searchTerms` (type: `array`):

Full-text queries to search the Olimpica catalog, for example "arroz", "cafe" or "pañales". Each term runs as a separate search. Maps to the VTEX ft parameter.
## `categories` (type: `array`):

Restrict results to one or more Olimpica categories by their numeric VTEX category id. Top-level departments: 900000000 Supermercado, 8000000 Belleza, 13000000 Cuidado personal, 6000000 Electrodomesticos y Tecnologia, 3000000 Hogar, 726000000 Moda, 14000000 Deportes, 901000000 Medicamentos, 1001000000 Mundo del bebe, 11000000 Jugueteria. Maps to the VTEX fq=C: filter.
## `sortOrder` (type: `string`):

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

Advanced. A full VTEX catalog search URL whose query string (ft, fq, O, etc.) is used as-is, for example https://www.olimpica.com/api/catalog_system/pub/products/search?ft=cafe&O=OrderByPriceASC . When set, its parameters take precedence.
## `proxyConfiguration` (type: `object`):

Proxy settings. The Olimpica VTEX catalog API has no anti-bot protection and works from datacenter IPs, so a proxy is optional. Use a Colombia residential proxy only if you hit geo restrictions.

## Actor input object example

```json
{
  "maxItems": 10,
  "withDetails": true,
  "searchTerms": [
    "arroz"
  ],
  "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": [
        "arroz"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/olimpica-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": ["arroz"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/olimpica-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": [
    "arroz"
  ]
}' |
apify call scrapers_lat/olimpica-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Olimpica Colombia Grocery Price Scraper",
        "description": "Scrape Olimpica product prices from Colombia's grocery and retail catalog. Extract name, brand, price and list price in COP, EAN barcode, stock, seller and installment plans by keyword or category. Export to JSON, CSV or Excel.",
        "version": "0.1",
        "x-build-id": "u7clkFnnaWAG7uQAy"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapers_lat~olimpica-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapers_lat-olimpica-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapers_lat~olimpica-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapers_lat-olimpica-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapers_lat~olimpica-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapers_lat-olimpica-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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 searches. Each available SKU and seller is one record. Optional."
                    },
                    "withDetails": {
                        "title": "Include Details",
                        "type": "boolean",
                        "description": "When enabled, each record is enriched with the product description, full specifications and the complete image gallery, and is emitted as a details event. When disabled, only the listing-level fields are returned.",
                        "default": true
                    },
                    "searchTerms": {
                        "title": "Search Terms",
                        "type": "array",
                        "description": "Full-text queries to search the Olimpica catalog, for example \"arroz\", \"cafe\" or \"pañales\". Each term runs as a separate search. Maps to the VTEX ft parameter.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "categories": {
                        "title": "Category IDs",
                        "type": "array",
                        "description": "Restrict results to one or more Olimpica categories by their numeric VTEX category id. Top-level departments: 900000000 Supermercado, 8000000 Belleza, 13000000 Cuidado personal, 6000000 Electrodomesticos y Tecnologia, 3000000 Hogar, 726000000 Moda, 14000000 Deportes, 901000000 Medicamentos, 1001000000 Mundo del bebe, 11000000 Jugueteria. Maps to the VTEX fq=C: filter.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "sortOrder": {
                        "title": "Sort Order",
                        "enum": [
                            "",
                            "OrderByPriceASC",
                            "OrderByPriceDESC",
                            "OrderByTopSaleDESC",
                            "OrderByReviewRateDESC",
                            "OrderByNameASC",
                            "OrderByNameDESC",
                            "OrderByReleaseDateDESC",
                            "OrderByBestDiscountDESC"
                        ],
                        "type": "string",
                        "description": "Order in which the catalog returns products. Maps to the VTEX O parameter.",
                        "default": ""
                    },
                    "startUrl": {
                        "title": "Start URL",
                        "type": "string",
                        "description": "Advanced. A full VTEX catalog search URL whose query string (ft, fq, O, etc.) is used as-is, for example https://www.olimpica.com/api/catalog_system/pub/products/search?ft=cafe&O=OrderByPriceASC . When set, its parameters take precedence."
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Proxy settings. The Olimpica VTEX catalog API has no anti-bot protection and works from datacenter IPs, so a proxy is optional. Use a Colombia residential proxy only if you hit geo restrictions.",
                        "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
