# Tabelog Scraper (`huggable_quote/tabelog-scraper`) Actor

Extract restaurant details and reviews from Tabelog (食べログ), Japan's #1 restaurant review platform. Search by keyword/area or provide URLs directly.

- **URL**: https://apify.com/huggable\_quote/tabelog-scraper.md
- **Developed by:** [OrbitData Labs](https://apify.com/huggable_quote) (community)
- **Categories:** Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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.

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

## Tabelog Scraper

Extract **restaurant details and reviews** from [Tabelog (食べログ)](https://tabelog.com) — Japan's largest restaurant review platform with 890,000+ restaurants and 85 million+ reviews.

### Why this scraper?

- **All-in-one** — restaurant info (address, hours, budget, seats) AND full review text in a single run
- **Search mode** — find restaurants by keyword and area, no need to know URLs in advance
- **Full review text** — visits each review page for complete untruncated content
- **Flexible** — scrape restaurant info only (fast & cheap) or include reviews
- **Cost-effective** — ~$3.00 per 1,000 reviews

### Two modes of operation

#### 1. Restaurant info only (`includeReviews: false`)

Collects detailed restaurant metadata without reviews. Fast and low-cost.

#### 2. Restaurant info + reviews (`includeReviews: true`)

Collects everything: restaurant details plus full review text from individual review pages.

### What data can you extract?

#### Restaurant fields

| Field | Type | Description |
|-------|------|-------------|
| `restaurantName` | String | Restaurant name |
| `restaurantUrl` | String | Tabelog page URL |
| `restaurantRating` | Number | Overall rating (0.0–5.0) |
| `restaurantGenre` | String | Cuisine type (e.g., "インド料理、インドカレー") |
| `restaurantArea` | String | Prefecture/area |
| `totalReviewCount` | Number | Total number of reviews |
| `address` | String | Full address |
| `nearestStation` | String | Nearest station and distance |
| `businessHours` | String | Operating days/hours |
| `budgetDinner` | String | Dinner price range |
| `budgetLunch` | String | Lunch price range |
| `paymentMethods` | String | Accepted payment methods |
| `seats` | String | Number and type of seats |
| `privateRoom` | String | Private room availability |
| `smokingPolicy` | String | Smoking policy |
| `parking` | String | Parking availability |
| `awards` | Array | Tabelog awards (百名店 etc.) |
| `reservation` | String | Reservation availability |
| `homepage` | String | Restaurant homepage URL |
| `officialAccounts` | Array | Social media URLs |
| `childPolicy` | String | Policy for children |
| `services` | String | Available services |

#### Review fields (when `includeReviews: true`)

Each row includes all restaurant fields above, plus:

| Field | Type | Description |
|-------|------|-------------|
| `reviewText` | String | Full review text |
| `rating` | Number | Individual review rating (0.0–5.0) |
| `visitDate` | String | Visit date (e.g., "2026/04") |
| `reviewerName` | String | Reviewer's display name |
| `reviewerUrl` | String | Reviewer's profile URL |
| `reviewTitle` | String/null | Review title |
| `mealType` | String/null | "ランチ" (lunch) or "ディナー" (dinner) |
| `priceRange` | String/null | Price range spent |
| `reviewUrl` | String | Direct URL to the review |
| `photos` | Array | Review photo URLs (when enabled) |

### How to use

#### Option A: Search by keyword

1. Set **searchKeyword** (e.g., `ラーメン`, `寿司`, `カレー`)
2. Set **searchArea** (e.g., `tokyo`, `osaka`, or `all`)
3. Set **maxRestaurants** (how many restaurants to scrape)

#### Option B: Direct URLs

1. Add Tabelog restaurant URLs to **startUrls**
   - Example: `https://tabelog.com/tokyo/A1304/A130401/13002457/`

#### Then configure:

- **includeReviews**: `true` for reviews, `false` for restaurant info only
- **maxReviewsPerRestaurant**: limit reviews per restaurant (default: 100)
- **sortBy**: sort reviews by newest, highest/lowest rating

### Input options

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `startUrls` | Array | — | Tabelog restaurant URLs (optional if using search) |
| `searchKeyword` | String | — | Search keyword (optional if using URLs) |
| `searchArea` | String | "all" | Prefecture filter for search |
| `maxRestaurants` | Integer | 5 | Max restaurants from search results |
| `includeReviews` | Boolean | true | Whether to scrape reviews |
| `maxReviewsPerRestaurant` | Integer | 100 | Max reviews per restaurant (0 = all) |
| `reviewLanguage` | String | "all" | Language filter |
| `includePhotos` | Boolean | false | Include review photo URLs |
| `sortBy` | String | "newest" | Review sort order |
| `proxyConfiguration` | Object | — | Apify Proxy settings |

### Output examples

#### Restaurant info only

```json
{
    "restaurantName": "グルガオン",
    "restaurantUrl": "https://tabelog.com/tokyo/A1301/A130101/13002457/",
    "restaurantRating": 3.72,
    "restaurantGenre": "インド料理、インドカレー",
    "restaurantArea": "東京",
    "totalReviewCount": 3173,
    "address": "東京都中央区銀座1-6-13 銀座106ビル B1F",
    "nearestStation": "銀座一丁目駅から35m",
    "businessHours": "月・火・水・木・金",
    "budgetDinner": "￥2,000～￥2,999",
    "budgetLunch": "￥1,000～￥1,999",
    "paymentMethods": "カード可（VISA、Master、JCB、AMEX、Diners）",
    "seats": "38席（テーブル席のみ）",
    "smokingPolicy": "全席禁煙",
    "awards": ["アジア・エスニック 百名店 2024 選出店"],
    "homepage": "http://gurgaontokyo.com/",
    "scrapedAt": "2026-05-02T12:00:00.000Z"
}
````

#### With reviews

Each row includes all restaurant fields above, plus review data:

```json
{
    "restaurantName": "グルガオン",
    "address": "東京都中央区銀座1-6-13 銀座106ビル B1F",
    "reviewText": "美味しすぎて感動した銀座にあるインドカレー屋さん\n\n大人気と聞いていたので...",
    "rating": 4.5,
    "visitDate": "2025/10",
    "reviewerName": "わらびもちーず",
    "mealType": "ディナー",
    "priceRange": "￥2,000～￥2,999",
    "scrapedAt": "2026-05-02T12:00:00.000Z"
}
```

### Use cases

- **Restaurant database** — Build a comprehensive database of Japanese restaurants with full details
- **NLP sentiment analysis** — Analyze Japanese restaurant review corpora
- **Market research** — Study dining trends, pricing, and customer satisfaction across Japan
- **Travel apps** — Power recommendation engines with real data
- **Competitive intelligence** — Monitor restaurant details and reviews

### Pricing

- **Restaurant info only**: ~$0.50 per 100 restaurants
- **With reviews**: ~$3.00 per 1,000 reviews

### Limitations

- **Japanese text** — Data is extracted in Japanese. English version (`/en/`) has limited coverage.
- **Rate-limited** — 2-4 second delays between requests for polite crawling.
- **No search URL input** — Provide restaurant URLs or use keyword search. Area-level browsing URLs are not supported.
- **Pagination limit** — Tabelog limits review pages to ~180, so restaurants with 3,600+ reviews may not have all reviews accessible.

### Technical details

- Built with [Crawlee](https://crawlee.dev) and [Apify SDK](https://docs.apify.com/sdk/js/)
- `CheerioCrawler` for fast HTML parsing (no browser needed)
- 4-stage pipeline: Search → Restaurant → Review List → Review Detail
- Automatic retry (up to 3), deduplication by review URL
- Auto-proxy on Apify cloud for reliability

# Actor input Schema

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

List of Tabelog restaurant page URLs. Not required if using keyword search.

## `searchKeyword` (type: `string`):

Search Tabelog by keyword (e.g. restaurant name, cuisine type). Not required if using direct URLs.

## `searchArea` (type: `string`):

Limit search to a specific prefecture. Only used with searchKeyword.

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

Maximum number of restaurants to scrape from search results. Only used with searchKeyword.

## `includeReviews` (type: `boolean`):

Whether to scrape individual reviews. When false, only restaurant info (name, address, hours, rating, etc.) is collected — much faster and cheaper.

## `maxReviewsPerRestaurant` (type: `integer`):

Maximum number of reviews to extract per restaurant. Set 0 for all reviews. Only used when includeReviews is true.

## `reviewLanguage` (type: `string`):

Filter reviews by language.

## `includePhotos` (type: `boolean`):

Whether to include review photo URLs in the output.

## `sortBy` (type: `string`):

How to sort reviews.

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

Apify Proxy configuration. Japan proxy recommended for best results.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://tabelog.com/tokyo/A1304/A130401/13002457/"
    }
  ],
  "searchArea": "all",
  "maxRestaurants": 5,
  "includeReviews": true,
  "maxReviewsPerRestaurant": 3,
  "reviewLanguage": "all",
  "includePhotos": false,
  "sortBy": "newest"
}
```

# Actor output Schema

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

Dataset containing restaurant information and/or reviews.

# 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 = {
    "startUrls": [
        {
            "url": "https://tabelog.com/tokyo/A1304/A130401/13002457/"
        }
    ],
    "searchKeyword": "",
    "searchArea": "all",
    "maxRestaurants": 5,
    "includeReviews": true,
    "maxReviewsPerRestaurant": 3,
    "reviewLanguage": "all",
    "sortBy": "newest"
};

// Run the Actor and wait for it to finish
const run = await client.actor("huggable_quote/tabelog-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 = {
    "startUrls": [{ "url": "https://tabelog.com/tokyo/A1304/A130401/13002457/" }],
    "searchKeyword": "",
    "searchArea": "all",
    "maxRestaurants": 5,
    "includeReviews": True,
    "maxReviewsPerRestaurant": 3,
    "reviewLanguage": "all",
    "sortBy": "newest",
}

# Run the Actor and wait for it to finish
run = client.actor("huggable_quote/tabelog-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 '{
  "startUrls": [
    {
      "url": "https://tabelog.com/tokyo/A1304/A130401/13002457/"
    }
  ],
  "searchKeyword": "",
  "searchArea": "all",
  "maxRestaurants": 5,
  "includeReviews": true,
  "maxReviewsPerRestaurant": 3,
  "reviewLanguage": "all",
  "sortBy": "newest"
}' |
apify call huggable_quote/tabelog-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Tabelog Scraper",
        "description": "Extract restaurant details and reviews from Tabelog (食べログ), Japan's #1 restaurant review platform. Search by keyword/area or provide URLs directly.",
        "version": "0.1",
        "x-build-id": "LYcmGFjisSPkxUOl6"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/huggable_quote~tabelog-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-huggable_quote-tabelog-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/huggable_quote~tabelog-scraper/runs": {
            "post": {
                "operationId": "runs-sync-huggable_quote-tabelog-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/huggable_quote~tabelog-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-huggable_quote-tabelog-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "startUrls": {
                        "title": "Restaurant URLs",
                        "type": "array",
                        "description": "List of Tabelog restaurant page URLs. Not required if using keyword search.",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "searchKeyword": {
                        "title": "Search keyword",
                        "type": "string",
                        "description": "Search Tabelog by keyword (e.g. restaurant name, cuisine type). Not required if using direct URLs."
                    },
                    "searchArea": {
                        "title": "Search area",
                        "enum": [
                            "all",
                            "hokkaido",
                            "aomori",
                            "iwate",
                            "miyagi",
                            "akita",
                            "yamagata",
                            "fukushima",
                            "ibaraki",
                            "tochigi",
                            "gunma",
                            "saitama",
                            "chiba",
                            "tokyo",
                            "kanagawa",
                            "niigata",
                            "toyama",
                            "ishikawa",
                            "fukui",
                            "yamanashi",
                            "nagano",
                            "gifu",
                            "shizuoka",
                            "aichi",
                            "mie",
                            "shiga",
                            "kyoto",
                            "osaka",
                            "hyogo",
                            "nara",
                            "wakayama",
                            "tottori",
                            "shimane",
                            "okayama",
                            "hiroshima",
                            "yamaguchi",
                            "tokushima",
                            "kagawa",
                            "ehime",
                            "kochi",
                            "fukuoka",
                            "saga",
                            "nagasaki",
                            "kumamoto",
                            "oita",
                            "miyazaki",
                            "kagoshima",
                            "okinawa"
                        ],
                        "type": "string",
                        "description": "Limit search to a specific prefecture. Only used with searchKeyword.",
                        "default": "all"
                    },
                    "maxRestaurants": {
                        "title": "Max restaurants (search mode)",
                        "minimum": 1,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Maximum number of restaurants to scrape from search results. Only used with searchKeyword.",
                        "default": 5
                    },
                    "includeReviews": {
                        "title": "Include reviews",
                        "type": "boolean",
                        "description": "Whether to scrape individual reviews. When false, only restaurant info (name, address, hours, rating, etc.) is collected — much faster and cheaper.",
                        "default": true
                    },
                    "maxReviewsPerRestaurant": {
                        "title": "Max reviews per restaurant",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of reviews to extract per restaurant. Set 0 for all reviews. Only used when includeReviews is true.",
                        "default": 100
                    },
                    "reviewLanguage": {
                        "title": "Review language",
                        "enum": [
                            "all",
                            "japanese",
                            "english"
                        ],
                        "type": "string",
                        "description": "Filter reviews by language.",
                        "default": "all"
                    },
                    "includePhotos": {
                        "title": "Include review photos",
                        "type": "boolean",
                        "description": "Whether to include review photo URLs in the output.",
                        "default": false
                    },
                    "sortBy": {
                        "title": "Sort reviews by",
                        "enum": [
                            "newest",
                            "rating_high",
                            "rating_low",
                            "default"
                        ],
                        "type": "string",
                        "description": "How to sort reviews.",
                        "default": "newest"
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Apify Proxy configuration. Japan proxy recommended for best results."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```