# Lookfantastic Reviews Scraper (`stealth_mode/lookfantastic-reviews-scraper`) Actor

Scrape verified customer reviews from Lookfantastic.com including ratings, pros & cons, user location, photos, and 40+ fields per review. Perfect for brand monitoring, sentiment analysis, and competitor benchmarking.

- **URL**: https://apify.com/stealth\_mode/lookfantastic-reviews-scraper.md
- **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community)
- **Categories:** Agents, E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Lookfantastic.com Reviews Scraper: Extract Product Reviews at Scale
---

### What Is Lookfantastic.com?

Lookfantastic.com is one of Europe's largest online beauty and cosmetics retailers, stocking thousands of skincare, haircare, and makeup products from both global brands and niche labels. Each product page typically features dozens — sometimes hundreds — of verified customer reviews, making it a valuable source of authentic consumer sentiment.

Manually reading and recording this review data is impractical at any scale. The **Lookfantastic Reviews Scraper** automates the collection process, turning product review pages into clean, structured datasets ready for analysis, reporting, or integration into third-party systems.

---

### Overview

The **Lookfantastic.com Reviews Scraper** targets the review section of individual product pages, extracting every available review attribute into a consistent, machine-readable format. It is built for:

- **Brand managers** monitoring customer sentiment for their own or competitor products
- **E-commerce analysts** benchmarking product ratings across categories
- **Data scientists** building sentiment analysis or NLP training datasets
- **Agencies** conducting beauty market research at scale

Key strengths include flexible sorting options, offset-based pagination for resumable runs, a configurable item limit, and fault-tolerant URL handling via `ignore_url_failures`.

---

### Input Format

The scraper accepts a JSON configuration object:

```json
{
  "product_id": "11530358",
  "sort_by": "submissiontime:desc",
  "offset": 0,
  "ignore_url_failures": true,
  "max_items_per_url": 200
}
````

#### Field Definitions

| Field | Type | Description | Example |
|---|---|---|---|
| `product_id` | `string` | The numeric product ID found at the end of a Lookfantastic product URL. From `.../p/nyx-professional-makeup-micro-brow-pencil-various-shades/11530358/`, the ID is `11530358` | `"11530358"` |
| `sort_by` | `string` | Controls the order reviews are returned. See options below. | `"submissiontime:desc"` |
| `offset` | `integer` | Number of reviews to skip before scraping begins. Useful for resuming interrupted runs or paginating large datasets. Default: `0` | `20` |
| `ignore_url_failures` | `boolean` | If `true`, the scraper continues running when a URL fails rather than stopping the entire run. Recommended for bulk jobs. Default: `true` | `true` |
| `max_items_per_url` | `integer` | Maximum number of reviews to collect per product. Default: `20` | `200` |

#### Sort Options

| Value | Label |
|---|---|
| `relevancy:a1` | Relevance |
| `rating:desc` | Rating: High to Low |
| `rating:asc` | Rating: Low to High |
| `submissiontime:desc` | Submission Time: New to Old |
| `ContentLocale:en_GB,en_US` | Language: English only |

> **Tip:** To find a product ID, navigate to any product page on Lookfantastic.com and look at the URL — the numeric segment at the end (e.g., `/11530358/`) is your `product_id`.

***

### Output Format

**Sample output**

```json
{
  "id": "1195045986",
  "cid": null,
  "source_client": "lookfantastic",
  "badges": {
    "verified_purchaser": {
      "content_type": "REVIEW",
      "id": "verifiedPurchaser",
      "badge_type": "Custom"
    }
  },
  "badges_order": [
    "verifiedPurchaser"
  ],
  "last_moderated_time": "2025-06-28T18:00:41.000+00:00",
  "last_modification_time": "2025-06-28T18:00:41.000+00:00",
  "product_id": "11530358",
  "original_product_name": "NYX Professional Makeup Micro Brow Pencil (Various Shades)",
  "campaign_id": null,
  "context_data_values_order": [
    "Age",
    "Gender"
  ],
  "author_id": "Debbie",
  "content_locale": "en_GB",
  "is_featured": false,
  "total_inappropriate_feedback_count": 0,
  "total_client_response_count": 0,
  "total_comment_count": 0,
  "rating": 5,
  "secondary_ratings_order": [],
  "is_ratings_only": false,
  "is_recommended": null,
  "total_feedback_count": 1,
  "total_negative_feedback_count": 0,
  "total_positive_feedback_count": 1,
  "moderation_status": "APPROVED",
  "submission_id": "imp-prod_c7_review_1195045986_1",
  "submission_time": "2024-10-01T21:39:03.000+00:00",
  "review_text": "Love the narrow pencil, colour range and pay off is great for a low price pencil",
  "title": "The best",
  "user_nickname": "Debbie",
  "context_data_values": {
    "age": {
      "value": "35to44",
      "id": "Age"
    },
    "gender": {
      "value": "Female",
      "id": "Gender"
    }
  },
  "secondary_ratings": {},
  "additional_fields_order": [],
  "tag_dimensions_order": [],
  "cons": null,
  "tag_dimensions": {},
  "additional_fields": {},
  "comment_ids": [],
  "inappropriate_feedback_list": [],
  "client_responses": [],
  "pros": null,
  "videos": [],
  "is_syndicated": false,
  "rating_range": 5,
  "helpfulness": 1.0,
  "product_recommendation_ids": [],
  "user_location": null,
  "photos": []
}
```

Each scraped review returns a rich record with 40+ fields. Below is a grouped breakdown with field-level explanations.

#### Core Identifiers

| Field | Meaning |
|---|---|
| `ID` | Unique internal identifier for this review record |
| `CID` | Client identifier linking the review to a specific retailer instance |
| `Submission ID` | Platform-level submission reference |
| `Product ID` | Lookfantastic product ID this review belongs to |
| `Original Product Name` | Product name at the time the review was submitted |
| `Campaign ID` | Associated campaign if the review was collected via a product sampling or incentive campaign |

#### Authorship & Locale

| Field | Meaning |
|---|---|
| `Author ID` | Anonymised identifier for the reviewer |
| `User Nickname` | Display name chosen by the reviewer |
| `User Location` | Self-reported location of the reviewer |
| `Content Locale` | Language/region of the review content (e.g., `en_GB`, `fr_FR`) |
| `Source Client` | Platform or integration source that submitted the review |

#### Review Content

| Field | Meaning |
|---|---|
| `Title` | Headline of the review |
| `Review Text` | Full body text of the review |
| `Pros` | Positive aspects highlighted by the reviewer |
| `Cons` | Negative aspects highlighted by the reviewer |
| `Rating` | Numeric star rating given (typically 1–5) |
| `Rating Range` | Maximum possible rating value for context |
| `Is Ratings Only` | `true` if the reviewer submitted a star rating without written text |
| `Is Recommended` | Whether the reviewer recommends the product |
| `Secondary Ratings` | Supplementary rating dimensions (e.g., Value, Quality) |
| `Secondary Ratings Order` | Display order of secondary rating dimensions |

#### Media & Attachments

| Field | Meaning |
|---|---|
| `Photos` | URLs of reviewer-submitted images |
| `Videos` | URLs of reviewer-submitted video content |

#### Feedback & Engagement

| Field | Meaning |
|---|---|
| `Total Feedback Count` | Total number of helpfulness votes received |
| `Total Positive Feedback Count` | Count of "helpful" votes |
| `Total Negative Feedback Count` | Count of "not helpful" votes |
| `Total Inappropriate Feedback Count` | Count of reports flagging the review as inappropriate |
| `Helpfulness` | Computed helpfulness score used for sorting |
| `Inappropriate Feedback List` | Detailed list of inappropriate flags |

#### Moderation & Status

| Field | Meaning |
|---|---|
| `Moderation Status` | Current moderation state (e.g., approved, pending) |
| `Last Moderated Time` | Timestamp of the most recent moderation action |
| `Last Modification Time` | Timestamp of the most recent edit to the review |
| `Submission Time` | Original submission timestamp |
| `Is Featured` | Whether the review is editorially featured on the product page |

#### Responses & Comments

| Field | Meaning |
|---|---|
| `Total Client Response Count` | Number of brand/retailer responses to this review |
| `Client Responses` | Full text of any brand replies |
| `Total Comment Count` | Number of community comments on the review |
| `Comment IDs` | References to associated comment records |

#### Taxonomy & Context

| Field | Meaning |
|---|---|
| `Badges` | Achievement badges awarded to the reviewer |
| `Badges Order` | Display order of badges |
| `Tag Dimensions` | Structured tags attached to the review (e.g., skin type, age range) |
| `Tag Dimensions Order` | Display order of tag dimensions |
| `Context Data Values` | Additional contextual attributes submitted with the review |
| `Context Data Values Order` | Display order of context data fields |
| `Additional Fields` | Any platform-specific extra fields |
| `Additional Fields Order` | Display order of additional fields |

#### Syndication & Targeting

| Field | Meaning |
|---|---|
| `Is Syndicated` | Whether the review was shared from another retail platform |
| `Product Recommendation IDs` | IDs of products the reviewer recommended alongside this review |

***

### How to Use

1. **Find your Product ID** — Open a product page on Lookfantastic.com. The ID is the final numeric segment in the URL, e.g., `.../11530358/`.
2. **Configure the input** — Set `product_id`, choose your preferred `sort_by` option, and define `max_items_per_url`.
3. **Set offset if needed** — Use `offset` to skip already-collected reviews when resuming a previous run.
4. **Run the scraper** — Start the actor and monitor progress in the run log.
5. **Export results** — Download output as JSON, CSV, or Excel.

**Best practices:**

- Use `sort_by: "submissiontime:desc"` to always collect the most recent reviews first.
- For English-language analysis, set `sort_by: "ContentLocale:en_GB,en_US"` to filter out non-English content.
- Set `ignore_url_failures: true` for any run involving multiple products to prevent a single failure from halting the job.

***

### Use Cases & Business Value

- **Sentiment analysis:** Feed review text and ratings into NLP pipelines to measure brand perception over time
- **Product development:** Use `Pros` and `Cons` fields to identify recurring pain points or praised features
- **Competitive intelligence:** Compare ratings and reviewer sentiment across similar products from different brands
- **Review aggregation:** Centralise Lookfantastic review data alongside other platform sources for a unified view
- **Market research:** Analyse `User Location` and `Content Locale` data to understand regional preferences in the beauty market

***

### Conclusion

The **Lookfantastic.com Reviews Scraper** provides a reliable, scalable way to collect rich customer review data from one of Europe's most prominent beauty retailers. With over 40 output fields covering review content, ratings, media, engagement metrics, and moderation status, it delivers far more than a simple star rating — it captures the full context of each customer's experience. Configure your first run in minutes and start turning review pages into actionable intelligence.

# Actor input Schema

## `product_id` (type: `string`):

Enter Product ID. For example, p/nyx-professional-makeup-micro-brow-pencil-various-shades/11530358/ -> 11530358

## `sort_by` (type: `string`):

Select your option to sort reviews

## `offset` (type: `integer`):

The number of items to skip before starting to scrape.

## `ignore_url_failures` (type: `boolean`):

If true, the scraper will continue running even if some URLs fail to be scraped.

## `max_items_per_url` (type: `integer`):

The maximum number of items to scrape per URL.

## Actor input object example

```json
{
  "product_id": "11530358",
  "ignore_url_failures": true,
  "max_items_per_url": 20
}
```

# 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 = {
    "product_id": "11530358",
    "offset": 0,
    "ignore_url_failures": true,
    "max_items_per_url": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("stealth_mode/lookfantastic-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 = {
    "product_id": "11530358",
    "offset": 0,
    "ignore_url_failures": True,
    "max_items_per_url": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("stealth_mode/lookfantastic-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 '{
  "product_id": "11530358",
  "offset": 0,
  "ignore_url_failures": true,
  "max_items_per_url": 20
}' |
apify call stealth_mode/lookfantastic-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Lookfantastic Reviews Scraper",
        "description": "Scrape verified customer reviews from Lookfantastic.com including ratings, pros & cons, user location, photos, and 40+ fields per review. Perfect for brand monitoring, sentiment analysis, and competitor benchmarking.",
        "version": "0.0",
        "x-build-id": "EjtjMy1pfXQvFopQN"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/stealth_mode~lookfantastic-reviews-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-stealth_mode-lookfantastic-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/stealth_mode~lookfantastic-reviews-scraper/runs": {
            "post": {
                "operationId": "runs-sync-stealth_mode-lookfantastic-reviews-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/stealth_mode~lookfantastic-reviews-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-stealth_mode-lookfantastic-reviews-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "product_id": {
                        "title": "Product ID (Product ID on lookfantastic.com details page url, e.g. p/nyx-professional-makeup-micro-brow-pencil-various-shades/11530358/ -> 11530358)",
                        "type": "string",
                        "description": "Enter Product ID. For example, p/nyx-professional-makeup-micro-brow-pencil-various-shades/11530358/ -> 11530358"
                    },
                    "sort_by": {
                        "title": "Sort by",
                        "enum": [
                            "relevancy:a1",
                            "rating:desc",
                            "rating:asc",
                            "submissiontime:desc",
                            "ContentLocale:en_GB,en_US"
                        ],
                        "type": "string",
                        "description": "Select your option to sort reviews"
                    },
                    "offset": {
                        "title": "Offset",
                        "type": "integer",
                        "description": "The number of items to skip before starting to scrape."
                    },
                    "ignore_url_failures": {
                        "title": "Continue running even if some URLs fail to be scraped",
                        "type": "boolean",
                        "description": "If true, the scraper will continue running even if some URLs fail to be scraped."
                    },
                    "max_items_per_url": {
                        "title": "Max items per URL",
                        "type": "integer",
                        "description": "The maximum number of items to scrape per URL."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```