# Grubhub Restaurant Menus Scraper (`automation-lab/grubhub-restaurant-menus-scraper`) Actor

🍔 Extract Grubhub restaurants, menus, prices, ratings, delivery availability, fees, and ETAs from US delivery markets.

- **URL**: https://apify.com/automation-lab/grubhub-restaurant-menus-scraper.md
- **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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

## Grubhub Restaurant Menus Scraper

Extract Grubhub restaurant listings, delivery availability, menu categories, menu item names, descriptions, prices, ratings, fees, and source URLs from US delivery markets.

### What does Grubhub Restaurant Menus Scraper do?

Grubhub Restaurant Menus Scraper turns Grubhub public restaurant and menu data into structured datasets you can export, analyze, and integrate.

It searches Grubhub by US latitude/longitude and optional cuisine or restaurant keywords, opens each matching restaurant through Grubhub's public web API, and saves menu-item rows with restaurant context.

You can also provide known Grubhub restaurant IDs when you already have a tracked competitor list.

### Who is it for?

- 🍕 Restaurant operators monitoring competitor menu prices
- 📍 Local SEO teams tracking food delivery coverage by city
- 🚚 Delivery aggregators comparing market availability
- 📊 Foodservice analysts building menu and pricing benchmarks
- 🏪 Multi-location brands checking local Grubhub listings
- 🧾 Revenue teams auditing delivery fees and order minimums

### Why use this Grubhub scraper?

Manual menu checks are slow, inconsistent, and hard to repeat.

This actor gives you repeatable exports with the same fields every run.

You can schedule daily or weekly runs, compare prices over time, and connect results to BI tools or alerts.

### Data you can extract

| Field group | Examples |
| --- | --- |
| Restaurant identity | restaurant ID, merchant ID, name, Grubhub URL |
| Location | address, city, state, postal code, coordinates |
| Food taxonomy | cuisines, menu category |
| Reputation | rating, rating count |
| Operations | delivery, pickup, open status, ETA, distance |
| Fees | delivery fee, delivery minimum |
| Menu item | item ID, name, description, price, currency, image URL |
| Run context | search location, search term, scraped timestamp |

### How much does it cost to scrape Grubhub menus?

This actor uses pay-per-event pricing.

You pay a small start fee for each run and a per-item fee for each dataset row saved.

Use `maxRestaurants` and `maxMenuItemsPerRestaurant` to control volume and cost.

For small tests, keep the default prefill values.

For market monitoring, increase the caps after confirming your location and search term return useful restaurants.

### How to use it

1. Open the actor on Apify.
2. Enter one or more US locations with latitude and longitude.
3. Optionally add cuisine or keyword filters such as `pizza`, `sushi`, or `tacos`.
4. Set the maximum number of restaurants.
5. Choose whether to include menu items.
6. Run the actor.
7. Export the dataset as JSON, CSV, Excel, or via API.

### Input options

#### locations

Array of US delivery locations.

Each location accepts:

- `name`
- `latitude`
- `longitude`

#### searchTerms

Optional Grubhub search terms.

Examples:

- `pizza`
- `sushi`
- `vegan`
- `burgers`
- `tacos`

Leave empty for broad local delivery listings.

#### restaurantIds

Optional Grubhub restaurant IDs.

Use this when you already know the restaurants you want to monitor.

#### maxRestaurants

Caps unique restaurants across all locations and search terms.

#### includeMenuItems

When enabled, the actor saves menu item rows with restaurant context.

When disabled, it saves one row per restaurant.

#### maxMenuItemsPerRestaurant

Caps the number of menu rows saved per restaurant.

#### proxyConfiguration

Grubhub is US-only.

The actor defaults to Apify SHADER proxy in the US.

Switch to residential only if your run is blocked.

### Example input

```json
{
  "locations": [
    { "name": "New York, NY", "latitude": 40.7128, "longitude": -74.006 }
  ],
  "searchTerms": ["pizza"],
  "maxRestaurants": 25,
  "includeMenuItems": true,
  "maxMenuItemsPerRestaurant": 40,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["SHADER"],
    "apifyProxyCountry": "US"
  }
}
````

### Output example

```json
{
  "type": "menu_item",
  "searchLocation": "New York, NY",
  "searchTerm": "pizza",
  "restaurantId": "321166",
  "restaurantName": "Little Italy Pizza - Fulton St",
  "cuisines": ["Italian", "Pizza"],
  "rating": 4.5,
  "deliveryAvailable": true,
  "deliveryFee": 0,
  "deliveryMinimum": 10,
  "deliveryEstimateMinutes": 25,
  "categoryName": "Drinks",
  "itemName": "Orange juice",
  "itemPrice": 3,
  "itemCurrency": "USD",
  "scrapedAt": "2026-07-10T07:42:38.949Z"
}
```

### Tips for best results

- ✅ Use precise latitude and longitude for the neighborhood you care about.
- ✅ Start with one city and one keyword before scaling.
- ✅ Keep menu caps low for monitoring many restaurants.
- ✅ Use restaurant IDs for stable competitor lists.
- ✅ Export CSV for spreadsheet price comparisons.

### Common workflows

#### Competitor price monitoring

Run the actor weekly for your cuisine and city.

Compare item names and prices across runs.

#### Delivery market coverage

Run broad searches across multiple locations.

Track which restaurants are available for delivery or pickup.

#### Local SEO checks

Confirm restaurant names, ratings, cuisine tags, and URLs visible on Grubhub.

#### Menu intelligence

Collect category and item-level menu data for pricing analysis.

### Integrations

Use the dataset with:

- Google Sheets for menu price reviews
- BigQuery or Snowflake for market analytics
- Slack alerts for new competitor items
- CRM enrichment for restaurant prospecting
- BI dashboards for city-by-city delivery coverage

### API usage with Node.js

```js
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/grubhub-restaurant-menus-scraper').call({
  locations: [{ name: 'New York, NY', latitude: 40.7128, longitude: -74.006 }],
  searchTerms: ['pizza'],
  maxRestaurants: 25,
  includeMenuItems: true,
  maxMenuItemsPerRestaurant: 40,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### API usage with Python

```python
from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('automation-lab/grubhub-restaurant-menus-scraper').call(run_input={
    'locations': [{'name': 'New York, NY', 'latitude': 40.7128, 'longitude': -74.006}],
    'searchTerms': ['pizza'],
    'maxRestaurants': 25,
    'includeMenuItems': True,
    'maxMenuItemsPerRestaurant': 40,
})

items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)
```

### API usage with cURL

```bash
curl "https://api.apify.com/v2/acts/automation-lab~grubhub-restaurant-menus-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"locations":[{"name":"New York, NY","latitude":40.7128,"longitude":-74.006}],"searchTerms":["pizza"],"maxRestaurants":25,"includeMenuItems":true,"maxMenuItemsPerRestaurant":40}'
```

### MCP integration

Use this actor from Apify MCP with Claude Desktop or Claude Code.

MCP tool URL:

```text
https://mcp.apify.com/?tools=automation-lab/grubhub-restaurant-menus-scraper
```

Add the actor to Claude Code:

```bash
claude mcp add apify-grubhub-menus https://mcp.apify.com/?tools=automation-lab/grubhub-restaurant-menus-scraper
```

Claude Desktop MCP server configuration:

```json
{
  "mcpServers": {
    "apify-grubhub-menus": {
      "url": "https://mcp.apify.com/?tools=automation-lab/grubhub-restaurant-menus-scraper"
    }
  }
}
```

Example prompts:

- "Scrape pizza menus on Grubhub around New York and summarize average entrée prices."
- "Find Grubhub restaurants near Chicago for tacos and return delivery fees."
- "Compare menu item prices for these Grubhub restaurant IDs."

### Scheduling

You can schedule this actor in Apify to run daily, weekly, or monthly.

Scheduled runs are useful for competitor menu monitoring and delivery coverage tracking.

### FAQ

#### Why did I get zero restaurants?

Try a different US latitude/longitude or remove the search term.

Some neighborhoods and keywords have limited Grubhub coverage.

#### Why is a restaurant missing menu items?

Some listings expose limited data or have unavailable menu sections at the time of the run.

Try restaurant-only mode or a different time window.

#### Why does the actor use a proxy?

Grubhub blocks non-US access.

A US proxy is required for reliable public data access from cloud infrastructure.

### Limitations

- Grubhub is US-focused; non-US locations may not return results.
- Menu availability and prices can change frequently.
- Some restaurants may expose limited or temporarily unavailable menu data.
- The actor does not place orders or access private user accounts.

### Legality

This actor extracts publicly available Grubhub restaurant and menu information.

You are responsible for using the data in accordance with applicable laws, Grubhub terms, and your use case.

Do not use scraped data for spam, fraud, or unlawful competitive conduct.

### Related scrapers

- https://apify.com/automation-lab/google-maps-reviews-scraper
- https://apify.com/automation-lab/yelp-reviews-scraper
- https://apify.com/automation-lab/booking-scraper
- https://apify.com/automation-lab/tripadvisor-reviews-scraper

### Support

If a run fails, include the run ID, input, and a short description of what you expected.

For best support, start with a small input that reproduces the issue.

### Changelog

See `.actor/CHANGELOG.md` for release notes.

# Actor input Schema

## `locations` (type: `array`):

US delivery locations to search. Each location needs latitude and longitude; name is optional but useful in output.

## `searchTerms` (type: `array`):

Optional Grubhub search terms such as pizza, sushi, tacos, vegan, or restaurant names. Leave empty for broad local delivery listings.

## `restaurantIds` (type: `array`):

Optional Grubhub restaurant IDs to fetch directly in addition to search results.

## `maxRestaurants` (type: `integer`):

Maximum unique restaurants to inspect across all locations and search terms.

## `includeMenuItems` (type: `boolean`):

When enabled, the actor saves menu-item rows with restaurant context. Disable to save one row per restaurant only.

## `maxMenuItemsPerRestaurant` (type: `integer`):

Caps menu rows per restaurant to control run size and cost.

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

Grubhub is US-only. The default uses Apify SHADER proxy in the US; switch to RESIDENTIAL only if your run is blocked.

## Actor input object example

```json
{
  "locations": [
    {
      "name": "New York, NY",
      "latitude": 40.7128,
      "longitude": -74.006
    },
    {
      "name": "Chicago, IL",
      "latitude": 41.8781,
      "longitude": -87.6298
    }
  ],
  "searchTerms": [
    "pizza"
  ],
  "restaurantIds": [],
  "maxRestaurants": 10,
  "includeMenuItems": true,
  "maxMenuItemsPerRestaurant": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "SHADER"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `overview` (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 = {
    "locations": [
        {
            "name": "New York, NY",
            "latitude": 40.7128,
            "longitude": -74.006
        },
        {
            "name": "Chicago, IL",
            "latitude": 41.8781,
            "longitude": -87.6298
        }
    ],
    "searchTerms": [
        "pizza"
    ],
    "restaurantIds": [],
    "maxRestaurants": 10,
    "includeMenuItems": true,
    "maxMenuItemsPerRestaurant": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "SHADER"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation-lab/grubhub-restaurant-menus-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 = {
    "locations": [
        {
            "name": "New York, NY",
            "latitude": 40.7128,
            "longitude": -74.006,
        },
        {
            "name": "Chicago, IL",
            "latitude": 41.8781,
            "longitude": -87.6298,
        },
    ],
    "searchTerms": ["pizza"],
    "restaurantIds": [],
    "maxRestaurants": 10,
    "includeMenuItems": True,
    "maxMenuItemsPerRestaurant": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["SHADER"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("automation-lab/grubhub-restaurant-menus-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 '{
  "locations": [
    {
      "name": "New York, NY",
      "latitude": 40.7128,
      "longitude": -74.006
    },
    {
      "name": "Chicago, IL",
      "latitude": 41.8781,
      "longitude": -87.6298
    }
  ],
  "searchTerms": [
    "pizza"
  ],
  "restaurantIds": [],
  "maxRestaurants": 10,
  "includeMenuItems": true,
  "maxMenuItemsPerRestaurant": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "SHADER"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call automation-lab/grubhub-restaurant-menus-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Grubhub Restaurant Menus Scraper",
        "description": "🍔 Extract Grubhub restaurants, menus, prices, ratings, delivery availability, fees, and ETAs from US delivery markets.",
        "version": "0.1",
        "x-build-id": "VXuLD25tnlhURWJqB"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/automation-lab~grubhub-restaurant-menus-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-automation-lab-grubhub-restaurant-menus-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/automation-lab~grubhub-restaurant-menus-scraper/runs": {
            "post": {
                "operationId": "runs-sync-automation-lab-grubhub-restaurant-menus-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/automation-lab~grubhub-restaurant-menus-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-automation-lab-grubhub-restaurant-menus-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "locations": {
                        "title": "📍 Search locations",
                        "type": "array",
                        "description": "US delivery locations to search. Each location needs latitude and longitude; name is optional but useful in output."
                    },
                    "searchTerms": {
                        "title": "🔎 Cuisine or keyword filters",
                        "type": "array",
                        "description": "Optional Grubhub search terms such as pizza, sushi, tacos, vegan, or restaurant names. Leave empty for broad local delivery listings.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "restaurantIds": {
                        "title": "🏪 Specific restaurant IDs",
                        "type": "array",
                        "description": "Optional Grubhub restaurant IDs to fetch directly in addition to search results.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxRestaurants": {
                        "title": "Maximum restaurants",
                        "minimum": 1,
                        "maximum": 500,
                        "type": "integer",
                        "description": "Maximum unique restaurants to inspect across all locations and search terms.",
                        "default": 10
                    },
                    "includeMenuItems": {
                        "title": "Include menu items",
                        "type": "boolean",
                        "description": "When enabled, the actor saves menu-item rows with restaurant context. Disable to save one row per restaurant only.",
                        "default": true
                    },
                    "maxMenuItemsPerRestaurant": {
                        "title": "Maximum menu items per restaurant",
                        "minimum": 0,
                        "maximum": 500,
                        "type": "integer",
                        "description": "Caps menu rows per restaurant to control run size and cost.",
                        "default": 20
                    },
                    "proxyConfiguration": {
                        "title": "🌐 Proxy configuration",
                        "type": "object",
                        "description": "Grubhub is US-only. The default uses Apify SHADER proxy in the US; switch to RESIDENTIAL only if your run is blocked.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "SHADER"
                            ],
                            "apifyProxyCountry": "US"
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```