# 99.co Property Scraper — Singapore Listings (`alwaysprimedev/99co-property-scraper`) Actor

Scrape Singapore property listings from 99.co (sale & rent, condos, HDB, landed). Structured fields: price, PSF, beds, baths, sqft, tenure, agent, photos, geo.

- **URL**: https://apify.com/alwaysprimedev/99co-property-scraper.md
- **Developed by:** [Always Prime](https://apify.com/alwaysprimedev) (community)
- **Categories:** E-commerce, Real estate, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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

## 🏠 99.co Property Scraper — Singapore Listings

> ⚡️ Extract structured property data from **99.co** — Singapore's #1 property portal — in seconds. Sale & rent. Condos, HDB flats, landed homes. Prices, PSF, beds, baths, sqft, tenure, agent, photos, geo — all in one clean JSON / CSV / Excel feed.

![Built on Apify](https://img.shields.io/badge/Built%20on-Apify-1f6feb) ![Python 3.11](https://img.shields.io/badge/Python-3.11-3776ab) ![JSON · CSV · Excel](https://img.shields.io/badge/Output-JSON%20%C2%B7%20CSV%20%C2%B7%20Excel-1aa8aa)

### 🚀 Why this scraper

- 📊 **40+ structured fields per listing** — including the ones competitors flatten or drop: PSF, district, neighbourhood, region, tenure, facing, floor level, agent CEA number.
- 💸 **Pay only for what you get** — `$2.99 per 1,000 listings`. Cap your spend with one input field.
- 🤖 **Two modes** — index-only (fast, cheap) for monitoring price feeds, or detail-rich (photos, agent, tags) for lead-gen.
- ⏱️ **Incremental** — pass a `since` timestamp and the actor skips listings older than your last run.
- 🛡️ **Cloudflare-safe** — built-in transport handles the site's bot protection so you don't have to.

### 📦 Quick start

1. Click **Try for free** above.
2. Pick a search preset (e.g. *Condos & apartments for sale*) and set **Maximum total listings**.
3. Hit **Start**.
4. Download results as JSON, CSV, or Excel from the **Output** tab.

That's it — no proxies to configure, no scripts to write.

### 📋 Input

| Field | Description |
| --- | --- |
| `searches` | One or more built-in categories: condos/HDB/landed × sale/rent. |
| `startUrls` | (Advanced) Custom 99.co listing-page URLs — overrides `searches`. |
| `maxItems` | Hard cap across all searches. `0` = unlimited (not recommended on broad presets). Default `50`. |
| `maxItemsPerSearch` | Balanced sampling across categories. `0` = no per-search cap. |
| `scrapeDetails` | If on (default), each listing is enriched with photos, agent, tenure, furnishing, facing, floor level, tags. Off = index-only, very fast and cheap. |
| `since` | ISO timestamp — listings older than this are skipped. Perfect for daily delta runs. |
| `concurrency` | Detail fetches in flight at once. Default `5`, max `25`. |

### 📤 Sample output

```json
{
  "id": "i2FTBiivSXfAF2B6ZNf5Cg",
  "url": "https://www.99.co/singapore/sale/property/castle-green-condo-i2FTBiivSXfAF2B6ZNf5Cg",
  "listing_type": "sale",
  "property_type": "Condo",
  "sub_category": "generic_condo",
  "main_category": "condo",
  "status": "active",
  "title": "Castle Green",
  "price_sgd": 1650000,
  "price_display": "S$ 1.65 M",
  "psf_sgd": 1432,
  "psf_display": "S$ 1,432.29 psf",
  "bedrooms": 3,
  "bedrooms_display": "3 Beds",
  "bathrooms": 3,
  "floor_area_sqft": 1152,
  "built_year": 1997,
  "tenure": "99-year leasehold",
  "furnishing": "Partially Furnished",
  "facing": "East",
  "floor_level": "High",
  "address": "483 Yio Chu Kang Road 787057",
  "street_name": "Yio Chu Kang Road",
  "street_number": "483",
  "postal_code": "787057",
  "district": 26,
  "neighborhood": "Yio Chu Kang West",
  "region": "North-East Region",
  "lat": 1.3860881453227498,
  "lng": 103.84094052489581,
  "photos": [
    "https://pic2.99.co/v3/nohDHn6FFcenjoPCkWmwMA?...",
    "https://pic2.99.co/v3/cnMzZVgML2tHfGVda3a9wS?..."
  ],
  "photo_count": 13,
  "video_count": 1,
  "tags": ["MUST SEE", "NEGOTIABLE", "99 AGENT"],
  "agent": {
    "name": "Pristine Lim",
    "user_id": "uXemTZ53eCA2JmsqZmAAG5",
    "agency": "ERA REALTY NETWORK PTE LTD",
    "cea_no": "R062520I",
    "phone": "+6597672725",
    "image_url": "https://pic2.99.co/v3/YET9WQsmPk8PMCdStRNcXg?...",
    "is_recommended": true
  },
  "posted_at": "2026-03-04T11:04:03.869415+00:00",
  "published_at": "2026-03-02T02:05:13.277688+00:00",
  "is_must_see": true,
  "is_99_exclusive": false,
  "is_owner": false,
  "description": "View all details on this S$ 1,650,000, 1,152 sqft Condo Apartment...",
  "scraped_at": "2026-05-15T08:00:00+00:00"
}
````

### 💡 Use cases

| Who | What for |
| --- | --- |
| 🏘️ **Property investors** | Track new listings, price-drop signals, and PSF benchmarks by district. |
| 🏢 **PropTech / CRE platforms** | Power your own search, valuation, or analytics product with fresh 99.co inventory. |
| 📐 **Real-estate agents** | Spot competing listings, find off-market PSF anchors, qualify leads. |
| 🧠 **ML / data teams** | Build price models, demand maps, or location-quality scores from clean labelled data. |
| 📈 **Market analysts** | Run weekly delta scrapes to chart Singapore's residential market in near-real-time. |

### 💡 Tips & tricks

- For daily incremental runs, set `since` to the timestamp of your last successful run. The actor skips listings older than that — typically 10–20× cheaper than a full scrape.
- For market-monitoring use cases, run with `scrapeDetails: false` for a fast, cheap index-only feed (price, beds, baths, sqft, address, geo).
- To balance categories, set `maxItemsPerSearch` instead of just `maxItems` — get N from sale-condos, N from rent-condos, etc.
- Combine `startUrls` with neighbourhood-specific paths like `/singapore/sale/condos-apartments/punggol` to scope by area.

### ❓ FAQ

**Does this work for rent and HDB / landed too?**
Yes. Use the matching `searches` preset (or any 99.co listing URL in `startUrls`).

**Why are some fields empty?**
Owner listings and some new launches don't carry every field (e.g. agent, facing). Use the `dataset_schema.json` to see which fields are nullable.

**Will agents be contacted?**
No. The actor only reads what's already publicly visible on 99.co. You are responsible for compliance with Singapore's PDPA and 99.co's Terms when using the data.

**How often does the actor break?**
99.co's page structure is stable enough that we've successfully parsed snapshots from over a year ago against the same logic. Detail-page enrichment is the most fragile part — if the site redesigns, expect to wait a few days for an update.

### 📜 Compliance

This actor is a tool. Compliance with [99.co's Terms of Service](https://www.99.co/terms) and applicable data-protection law (Singapore PDPA, GDPR, etc.) is the operator's responsibility. Do not use it to mass-contact agents or to redistribute scraped data without an independent legal basis.

# Actor input Schema

## `searches` (type: `array`):

One-click search categories. Combine with maxItems to control output size. Leave empty if using startUrls instead.

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

Paste 99.co listing URLs to scrape (e.g. https://www.99.co/singapore/sale/condos-apartments/punggol). Overrides searches if both are set.

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

Hard cap on the total number of listings scraped across all searches. Use 0 to scrape everything matching (not recommended on broad presets — Singapore has 100,000+ active listings). Default 50.

## `maxItemsPerSearch` (type: `integer`):

Maximum listings scraped from each search URL. Use 0 for no per-search cap. Useful when scraping multiple presets and you want a balanced sample across categories.

## `scrapeDetails` (type: `boolean`):

If on, each listing's full detail page is fetched to enrich the record with photos, agent info, furnishing, facing, floor level, tenure, and tags. Turn off for a fast, cheap index-only run that returns price, beds, baths, sqft, PSF, address, and geo per listing.

## `since` (type: `string`):

ISO 8601 timestamp (e.g. 2026-04-01T00:00:00Z). Listings older than this are skipped. Useful for daily incremental runs.

## `concurrency` (type: `integer`):

Number of detail-page fetches in flight at once. Default 5. Higher values speed up large runs but increase the chance of rate-limiting on shared proxies.

## Actor input object example

```json
{
  "searches": [
    "sale-condos"
  ],
  "startUrls": [],
  "maxItems": 50,
  "maxItemsPerSearch": 0,
  "scrapeDetails": true,
  "concurrency": 5
}
```

# Actor output Schema

## `listings` (type: `string`):

Download all scraped listings as a JSON array.

## `listingsCsv` (type: `string`):

Download all scraped listings as CSV (Excel-friendly).

## `listingsXlsx` (type: `string`):

Download all scraped listings as an Excel workbook.

## `consoleView` (type: `string`):

Browse, filter, and re-export the dataset from the Apify Console.

# 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 = {
    "searches": [
        "sale-condos"
    ],
    "startUrls": [],
    "maxItems": 50,
    "maxItemsPerSearch": 0,
    "concurrency": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("alwaysprimedev/99co-property-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 = {
    "searches": ["sale-condos"],
    "startUrls": [],
    "maxItems": 50,
    "maxItemsPerSearch": 0,
    "concurrency": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("alwaysprimedev/99co-property-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 '{
  "searches": [
    "sale-condos"
  ],
  "startUrls": [],
  "maxItems": 50,
  "maxItemsPerSearch": 0,
  "concurrency": 5
}' |
apify call alwaysprimedev/99co-property-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=alwaysprimedev/99co-property-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "99.co Property Scraper — Singapore Listings",
        "description": "Scrape Singapore property listings from 99.co (sale & rent, condos, HDB, landed). Structured fields: price, PSF, beds, baths, sqft, tenure, agent, photos, geo.",
        "version": "0.1",
        "x-build-id": "Kayn6lc2Iukm7ZU2G"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/alwaysprimedev~99co-property-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-alwaysprimedev-99co-property-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/alwaysprimedev~99co-property-scraper/runs": {
            "post": {
                "operationId": "runs-sync-alwaysprimedev-99co-property-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/alwaysprimedev~99co-property-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-alwaysprimedev-99co-property-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "searches": {
                        "title": "Search presets",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "One-click search categories. Combine with maxItems to control output size. Leave empty if using startUrls instead.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "sale-condos",
                                "rent-condos",
                                "sale-hdb",
                                "rent-hdb",
                                "sale-landed",
                                "rent-landed",
                                "sale-all",
                                "rent-all"
                            ],
                            "enumTitles": [
                                "Condos & apartments for sale",
                                "Condos & apartments for rent",
                                "HDB flats for sale",
                                "HDB flats for rent",
                                "Landed homes for sale",
                                "Landed homes for rent",
                                "All properties for sale",
                                "All properties for rent"
                            ]
                        }
                    },
                    "startUrls": {
                        "title": "Search URLs (advanced)",
                        "type": "array",
                        "description": "Paste 99.co listing URLs to scrape (e.g. https://www.99.co/singapore/sale/condos-apartments/punggol). Overrides searches if both are set.",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "maxItems": {
                        "title": "Maximum total listings",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Hard cap on the total number of listings scraped across all searches. Use 0 to scrape everything matching (not recommended on broad presets — Singapore has 100,000+ active listings). Default 50.",
                        "default": 50
                    },
                    "maxItemsPerSearch": {
                        "title": "Per-search cap",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum listings scraped from each search URL. Use 0 for no per-search cap. Useful when scraping multiple presets and you want a balanced sample across categories.",
                        "default": 0
                    },
                    "scrapeDetails": {
                        "title": "Fetch detail pages",
                        "type": "boolean",
                        "description": "If on, each listing's full detail page is fetched to enrich the record with photos, agent info, furnishing, facing, floor level, tenure, and tags. Turn off for a fast, cheap index-only run that returns price, beds, baths, sqft, PSF, address, and geo per listing.",
                        "default": true
                    },
                    "since": {
                        "title": "Only listings posted on or after",
                        "type": "string",
                        "description": "ISO 8601 timestamp (e.g. 2026-04-01T00:00:00Z). Listings older than this are skipped. Useful for daily incremental runs."
                    },
                    "concurrency": {
                        "title": "Concurrency",
                        "minimum": 1,
                        "maximum": 25,
                        "type": "integer",
                        "description": "Number of detail-page fetches in flight at once. Default 5. Higher values speed up large runs but increase the chance of rate-limiting on shared proxies.",
                        "default": 5
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```