# Coupang Eats Reviews Scraper (`amit123/coupang-eats-reviews-scraper`) Actor

Extract customer reviews — ratings, review text, photos, ordered menu items, reorder signals, and owner replies — from Coupang Eats (쿠팡이츠), South Korea's #2 food delivery platform.

- **URL**: https://apify.com/amit123/coupang-eats-reviews-scraper.md
- **Developed by:** [Amit](https://apify.com/amit123) (community)
- **Categories:** Automation, Developer tools, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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

## ⭐ Coupang Eats Reviews Scraper

Extract **customer reviews** — ratings, review text, photos, ordered menu items, reorder signals, and owner replies — from **Coupang Eats (쿠팡이츠)**, South Korea's #2 food delivery platform.

This is the companion actor to the [Coupang Eats Crawler](https://apify.com/amit123/coupang-eats-scraper) (restaurants + menus). That one answers *"which restaurants exist and what do they sell?"* — this one answers *"what do customers actually think?"*

---

### 🌏 What is Coupang Eats?

Coupang Eats is the food-delivery arm of **Coupang**, Korea's largest e-commerce company (the "Amazon of Korea", NYSE-listed CPNG). Together with Baemin it controls ~88% of the Korean delivery market, and it's the side still gaining share — every Coupang Wow membership (~15M subscribers) bundles free Eats delivery.

Reviews on Coupang Eats are **order-verified**: a customer can only review a store after actually ordering from it. That makes this review corpus far cleaner than open platforms like Google Maps — no drive-by one-stars, no competitor sabotage, and every review is linked to the actual menu items ordered.

---

### 🚀 What does this actor do?

Give it a store (by **ID** or by **name**) and it returns that store's reviews, newest-first by default:

- **Store IDs** (`storeIds`) — the `storeId` from the share URL. Fastest, no address needed.
- **Store names** (`storeNames`) — Korean or English. Matched to a store near your chosen address (results depend on the delivery location; chains have one store per district, so set the address near the branch you mean).
- Choose **sort order** (newest / most helpful / highest / lowest rating), cap reviews per store, optionally keep only photo reviews.

No account or extra setup required — just enter a store and run.

---

### 🍗 Why review data matters (buyer personas)

| Buyer | What they use the data for | Refresh cadence |
|---|---|---|
| **Restaurant brands & franchises** | "What do customers complain about at our Gangnam branch vs Hongdae? Which menu items drive 1-star reviews?" | Daily / weekly |
| **Reputation management & CX tools** | Track owner reply rates and response times; alert franchises on unanswered negative reviews. | Daily |
| **F&B market research** | Sentiment by cuisine and district; which dishes are praised, which complaints recur (cold food, missing items, portion size). | Weekly |
| **Menu intelligence** | Reviews link to the exact menu items ordered — mine which dishes get reordered ("N번째 재주문") and co-ordered. | Weekly |
| **Hedge fund / alt-data desks** | Review velocity as a demand proxy per store / district / brand — a leading indicator on CPNG and Woowa/DH. | Weekly |
| **Restaurant SaaS** | Lead-scoring: stores with high volume but low ratings or no owner replies are the best prospects for CX tooling. | Monthly |

---

### 🗾️ Example input

**By store ID (fastest, no address needed):**
```json
{
  "storeIds": ["741250"],
  "maxReviewsPerStore": 100
}
````

**By store name (matched near an address):**

```json
{
  "storeNames": ["무궁화반점 강남점", "맥도날드"],
  "addresses": [
    { "latitude": 37.4979, "longitude": 127.0276, "label": "Gangnam, Seoul" }
  ],
  "maxReviewsPerStore": 200
}
```

**Worst reviews first, photos only:**

```json
{
  "storeIds": ["741250"],
  "sort": "RATING_ASC",
  "onlyWithPhotos": true,
  "maxReviewsPerStore": 50
}
```

***

### 📦 What data do you get?

One row per review:

```json
{
  "review_id": "273228948",
  "store_id": "741250",
  "store_name": "무궁화반점 강남점",
  "rating": 5,
  "text": "근래 먹은 짬뽕 중 가장 맛있었어요~~",
  "writer": "주*연",
  "written_at_text": "오늘",
  "written_date_approx": "2026-06-10",
  "images": ["https://t4c.coupangcdn.com/thumbnails/remote/1024x1024/image/eats_review_api/....jpg"],
  "image_count": 1,
  "ordered_menu_items": ["소고기 직화 짬뽕", "500원의 행복:튀김고기만두 2개"],
  "thumb_up_count": 0,
  "reorder_count": 2,
  "merchant_reply_text": "안녕하세요, 무궁화반점 강남점입니다 😊 ...",
  "merchant_reply_written_at_text": "오늘",
  "writer_review_count": 2,
  "writer_rating_avg": 5.0,
  "is_owner_review": false,
  "store_rating_avg": 4.8,
  "store_review_count": 6851,
  "store_rating_distribution": { "5": 87, "4": 8, "3": 3, "2": 1, "1": 1 },
  "sort": "LATEST_DESC",
  "review_rank": 1,
  "input_store_name": null,
  "store_url": "https://web.coupangeats.com/share?storeId=741250",
  "scraped_at": "2026-06-10T08:15:00.000Z"
}
```

#### Field reference

| Field | Type | Notes |
|---|---|---|
| `review_id` | string | Unique Coupang Eats review ID |
| `store_id`, `store_name` | string | The reviewed store |
| `rating` | number | Star rating (1–5) |
| `text` | string | Review body (Korean) |
| `writer` | string | Reviewer name, masked by the platform (e.g. `주*연`) |
| `written_at_text` | string | Relative date as shown in the app (`오늘`, `3일 전`, `1주 전`, `2개월 전`) |
| `written_date_approx` | string | The relative date converted to an approximate `YYYY-MM-DD` |
| `images`, `image_count` | array / number | Review photo URLs |
| `ordered_menu_items` | array | Names of the menu items this customer actually ordered |
| `thumb_up_count` | number | "Helpful" votes from other customers |
| `reorder_count` | number | Set when the platform shows "N번째 재주문" (Nth reorder) — a strong loyalty signal |
| `merchant_reply_text` | string | Owner's public reply (null when the owner didn't reply) |
| `merchant_reply_written_at_text` | string | Relative date of the owner reply |
| `writer_review_count`, `writer_rating_avg` | number | This reviewer's lifetime review count and average rating on the platform |
| `is_owner_review` | bool | Platform flag (rare) |
| `store_rating_avg`, `store_review_count` | number | Store-level summary at scrape time |
| `store_rating_distribution` | object | Percent of reviews per star level, e.g. `{"5": 87, "4": 8, ...}` |
| `sort` | string | The sort order this run used |
| `review_rank` | number | Position of the review under that sort |
| `input_store_name` | string | The name you searched for (when the store was resolved from `storeNames`) |
| `store_url` | string | Public share URL |
| `scraped_at` | string | ISO timestamp of the run |

> **Note on dates:** Coupang Eats only exposes relative dates ("3일 전"). `written_date_approx` converts them to calendar dates; precision degrades with age (weeks → ±3 days, months → ±2 weeks).

***

### 🦖 How to use

1. Enter `storeIds` (find the ID in any Coupang Eats share link: `https://web.coupangeats.com/share?storeId=741250`) — or `storeNames` + an address.
2. Optionally set `maxReviewsPerStore` (default `100`), `sort`, and `onlyWithPhotos`.
3. Run the actor.
4. Download from the **Dataset** tab or via the **API**.

> A run collecting 100 reviews from one store completes in a few seconds.

**Tip:** to scrape reviews for many stores at once, first run the [Coupang Eats Crawler](https://apify.com/amit123/coupang-eats-scraper) with a search/category, export the `store_id` column, and paste it into this actor's `storeIds`.

***

### 🔍 Key features

- **Order-verified reviews** — every review is tied to a real order, with the exact menu items listed.
- **Owner replies included** — measure reply rate and tone per store.
- **Loyalty signals** — reorder counts and reviewer history (lifetime review count + average rating).
- **All 4 app sort orders** — newest, most helpful, highest, lowest.
- **Photo filter** — collect only reviews with images.
- **Two input modes** — direct store IDs (no address) or store names matched near an address.
- **Automatic retries** — transient errors retried with exponential backoff.

***

### 📋 Input parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `storeIds` | array of strings | `[]` | Numeric store IDs. No address required. |
| `storeNames` | array of strings | `[]` | Store names to resolve via search — requires `addresses`. |
| `addresses` | array of `{latitude, longitude, label}` | Gangnam | Delivery point used for name resolution (results depend on location). |
| `maxReviewsPerStore` | integer | `100` | Cap per store. |
| `sort` | string | `LATEST_DESC` | `LATEST_DESC` (newest), `LIKE_DESC` (most helpful), `RATING_DESC`, `RATING_ASC`. |
| `onlyWithPhotos` | boolean | `false` | Only reviews with photos. |
| `proxyConfiguration` | object | none | Optional. Not required for normal runs. |

#### Common address coordinates (for name lookup)

| District | Latitude | Longitude |
|---|---|---|
| Seoul — Gangnam Station | 37.4979 | 127.0276 |
| Seoul — Hongdae | 37.5563 | 126.9236 |
| Seoul — Itaewon | 37.5347 | 126.9947 |
| Busan — Seomyeon | 35.1796 | 129.0756 |
| Jeju City | 33.4996 | 126.5312 |

***

### 📩 Feedback

Found a bug or have ideas? Open an issue on the actor's Apify page — happy to improve it.

# Actor input Schema

## `storeIds` (type: `array`):

Numeric Coupang Eats store IDs — the `storeId` in the share URL (https://web.coupangeats.com/share?storeId=741250). Fastest option, no address needed.

## `storeNames` (type: `array`):

Restaurant names to look up (Korean or English, e.g. 무궁화반점 or Starbucks). Each name is matched to a store near the first address — Coupang Eats results depend on the delivery location, so an address is required for this option. The closest name match wins; chains have one store per district, so set the address near the branch you mean.

## `addresses` (type: `array`):

Only needed when using storeNames. Coupang Eats results depend on the delivery location, so a name lookup is done relative to a delivery point. Each item: { latitude, longitude, label }. Example Seoul Gangnam: { "latitude": 37.4979, "longitude": 127.0276, "label": "Gangnam" }.

## `maxReviewsPerStore` (type: `integer`):

Maximum number of reviews to collect per store. Default 100.

## `sort` (type: `string`):

Review sort order — same options as the app: newest first, most helpful, highest rating, lowest rating.

## `onlyWithPhotos` (type: `boolean`):

If true, only reviews that include photos are returned.

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

Optional. Not required for normal runs.

## Actor input object example

```json
{
  "storeIds": [
    "741250"
  ],
  "addresses": [
    {
      "latitude": 37.4979,
      "longitude": 127.0276,
      "label": "Gangnam, Seoul"
    }
  ],
  "maxReviewsPerStore": 100,
  "sort": "LATEST_DESC",
  "onlyWithPhotos": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `reviews` (type: `string`):

All scraped reviews — one item per review, with rating, text, photos, ordered menu items, owner reply, and reviewer-history signals.

# 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 = {
    "storeIds": [
        "741250"
    ],
    "addresses": [
        {
            "latitude": 37.4979,
            "longitude": 127.0276,
            "label": "Gangnam, Seoul"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("amit123/coupang-eats-reviews-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 = {
    "storeIds": ["741250"],
    "addresses": [{
            "latitude": 37.4979,
            "longitude": 127.0276,
            "label": "Gangnam, Seoul",
        }],
}

# Run the Actor and wait for it to finish
run = client.actor("amit123/coupang-eats-reviews-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 '{
  "storeIds": [
    "741250"
  ],
  "addresses": [
    {
      "latitude": 37.4979,
      "longitude": 127.0276,
      "label": "Gangnam, Seoul"
    }
  ]
}' |
apify call amit123/coupang-eats-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=amit123/coupang-eats-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Coupang Eats Reviews Scraper",
        "description": "Extract customer reviews — ratings, review text, photos, ordered menu items, reorder signals, and owner replies — from Coupang Eats (쿠팡이츠), South Korea's #2 food delivery platform.",
        "version": "0.0",
        "x-build-id": "f87R3JcRY4XzyIwWv"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/amit123~coupang-eats-reviews-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-amit123-coupang-eats-reviews-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/amit123~coupang-eats-reviews-scraper/runs": {
            "post": {
                "operationId": "runs-sync-amit123-coupang-eats-reviews-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/amit123~coupang-eats-reviews-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-amit123-coupang-eats-reviews-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "storeIds": {
                        "title": "Store IDs",
                        "type": "array",
                        "description": "Numeric Coupang Eats store IDs — the `storeId` in the share URL (https://web.coupangeats.com/share?storeId=741250). Fastest option, no address needed.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "storeNames": {
                        "title": "Store Names",
                        "type": "array",
                        "description": "Restaurant names to look up (Korean or English, e.g. 무궁화반점 or Starbucks). Each name is matched to a store near the first address — Coupang Eats results depend on the delivery location, so an address is required for this option. The closest name match wins; chains have one store per district, so set the address near the branch you mean.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "addresses": {
                        "title": "Address for name lookup (lat/lng)",
                        "type": "array",
                        "description": "Only needed when using storeNames. Coupang Eats results depend on the delivery location, so a name lookup is done relative to a delivery point. Each item: { latitude, longitude, label }. Example Seoul Gangnam: { \"latitude\": 37.4979, \"longitude\": 127.0276, \"label\": \"Gangnam\" }."
                    },
                    "maxReviewsPerStore": {
                        "title": "Max reviews per store",
                        "minimum": 1,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Maximum number of reviews to collect per store. Default 100.",
                        "default": 100
                    },
                    "sort": {
                        "title": "Sort order",
                        "enum": [
                            "LATEST_DESC",
                            "LIKE_DESC",
                            "RATING_DESC",
                            "RATING_ASC"
                        ],
                        "type": "string",
                        "description": "Review sort order — same options as the app: newest first, most helpful, highest rating, lowest rating.",
                        "default": "LATEST_DESC"
                    },
                    "onlyWithPhotos": {
                        "title": "Photo reviews only",
                        "type": "boolean",
                        "description": "If true, only reviews that include photos are returned.",
                        "default": false
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration (optional)",
                        "type": "object",
                        "description": "Optional. Not required for normal runs.",
                        "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```