# Mobile.de Discovery — Germany Vehicles & Machinery (`rastriq/mobilede-discovery`) Actor
Detect new, active and disappeared vehicle and machinery listings on Mobile.de — Germany's largest automotive marketplace — to capture high-intent commercial signals. Identify dealers adding inventory, monitor sell-through and feed your DACH sales pipeline with live leads.
- **URL**: https://apify.com/rastriq/mobilede-discovery.md
- **Developed by:** [Rastriq](https://apify.com/rastriq) (community)
- **Categories:** Agents, AI, E-commerce
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.90 / 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
## Mobile.de Equipment Scraper v0.6
Full-market equipment scraper for mobile.de. Discovers listings across 3 machinery categories and extracts FTP-aligned detail fields from each listing page.
### Coverage
- **Full market mode**: ~30,600 items (ConstructionMachine, AgriculturalVehicle, ForkliftTruck)
- **Custom filters**: select category, condition (new/used), equipment subtypes, year range
### How it works
1. Internally resolves user filters to 68 static search slices (all ≤ 1,000 items each).
2. Crawls each SERP slice, deduplicating listings globally by item_id.
3. Visits each new listing's detail page (PDP) to extract FTP fields.
4. Pushes enriched records to the dataset.
### Output schema (per record)
| Field | Description |
|-------|-------------|
| `item_id` / `ref_anuncio` | Mobile.de listing ID |
| `url` | Canonical listing URL |
| `categoria` | Category (Maquinaria de Construccion / Agricola / Carretillas) |
| `tipo` | Equipment subtype (MiniDigger, WheeledLoader, etc.) |
| `marca` | Make / brand |
| `modelo` | Model |
| `anio` | Year |
| `estado` | Condition (new / used) |
| `valor` / `moneda` | Price and currency (EUR) |
| `tiempo_uso` | Operating hours or mileage |
| `pot_motor` | Engine power |
| `tipo_motor` | Engine type / fuel |
| `peso` | Operating weight |
| `carga` | Load / lift capacity (forklifts) |
| `compania` | Seller / dealer name |
| `ubicacion` | Seller city |
| `telefono` | Seller phone (if visible) |
| `fecha_publicacion` | Listing date |
| `imagenes` | Array of image URLs |
| `num_serie` | Serial number (if available) |
| `snapshot_at` | Timestamp of the run |
| `detail_extracted` | True if PDP was visited |
### Requirements
- Residential DE proxy (mobile.de blocks datacenter IPs)
- Camoufox Firefox browser for TLS fingerprint bypass
- Memory: 2048 MB (Camoufox requirement)
# Actor input Schema
## `coverageMode` (type: `string`):
Controls how many search slices the scraper visits.
• Full market — crawls all 68 internal slices (~30,600 listings). Best for complete census runs.
• Custom filters — apply category, condition, subtype and year filters below. Best for focused analysis or quick tests.
## `dataDepth` (type: `string`):
How much data to extract per listing.
• Summary only — ~14 fields from search cards (title, price, year, hours, location, seller). Fast and cheap.
• Summary + detail — also visits detail pages for premium fields (phone, serial number, specs). Slower, higher cost.
## `maxItems` (type: `integer`):
Global limit on total listings to extract. 0 = no limit.
Use 50–100 for test runs, 0 for full market.
## `catConstructionMachine` (type: `boolean`):
Excavators, loaders, cranes, dozers, rollers… · ~11,500 listings
## `catAgriculturalVehicle` (type: `boolean`):
Tractors, harvesters, seeders, ploughs, mulchers… · ~11,200 listings
## `catForkliftTruck` (type: `boolean`):
Front forklifts, telescopic, reach trucks, low lift… · ~7,900 listings
## `constructionSubtype` (type: `string`):
Filter construction machines by equipment type. All = no filter.
## `agriculturalSubtype` (type: `string`):
Filter agricultural vehicles by equipment type. All = no filter.
## `forkliftSubtype` (type: `string`):
Filter forklifts by equipment type. All = no filter.
## `condition` (type: `string`):
Filter by new or used equipment.
## `yearMode` (type: `string`):
Enable year range filtering.
## `yearFrom` (type: `integer`):
Minimum manufacture year (inclusive). Only active when year filter = range.
## `yearTo` (type: `integer`):
Maximum manufacture year (inclusive). Only active when year filter = range.
## `detailStrategy` (type: `string`):
When extracting detail pages, should the scraper visit every listing or only those where the search card is missing key fields (price, year, hours)?
• Missing only — skips detail pages when the search card already has all key fields. Saves time and proxy cost.
• All items — visits every detail page regardless. Gets the most complete data but takes longer.
## `includeImages` (type: `boolean`):
Extract image URLs from each listing.
## `includeSellerContacts` (type: `boolean`):
Extract seller phone and email. Full phone numbers require Summary + detail mode.
## `maxPagesPerSlice` (type: `integer`):
Pages of results per internal slice. Each page has about 20 listings. Use 1 for quick test, 50 for full coverage.
## `proxyConfiguration` (type: `object`):
A German residential proxy is mandatory. Datacenter IPs are blocked.
## `debugMode` (type: `boolean`):
Adds diagnostic fields to output. Not recommended for production.
## `vehicleCategories` (type: `array`):
Legacy array field for API backward compatibility.
## `subtypes` (type: `array`):
Legacy array field for API backward compatibility.
## Actor input object example
```json
{
"coverageMode": "custom_filters",
"dataDepth": "summary_only",
"maxItems": 50,
"catConstructionMachine": true,
"catAgriculturalVehicle": true,
"catForkliftTruck": true,
"constructionSubtype": "all",
"agriculturalSubtype": "all",
"forkliftSubtype": "all",
"condition": "all",
"yearMode": "all",
"detailStrategy": "missing_only",
"includeImages": true,
"includeSellerContacts": false,
"maxPagesPerSlice": 1,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "DE"
},
"debugMode": false,
"vehicleCategories": [],
"subtypes": []
}
````
# Actor output Schema
## `_card_text_len` (type: `string`):
card text len
## `_card_title` (type: `string`):
card title
## `anio` (type: `string`):
Anio
## `carga` (type: `string`):
Carga
## `categoria` (type: `string`):
Categoria
## `compania` (type: `string`):
Compania
## `correo` (type: `string`):
Correo
## `data_level` (type: `string`):
Data level
## `estado` (type: `string`):
Estado
## `fabric_motor` (type: `string`):
Fabric motor
## `fec_entrega` (type: `string`):
Fec entrega
## `fecha_publicacion` (type: `string`):
Fecha publicacion
## `imagenes` (type: `string`):
Imagenes
## `item_id` (type: `string`):
Item id
## `marca` (type: `string`):
Marca
## `modelo` (type: `string`):
Modelo
## `moneda` (type: `string`):
Moneda
## `num_serie` (type: `string`):
Num serie
## `pais` (type: `string`):
Pais
## `pais_fab` (type: `string`):
Pais fab
## `peso` (type: `string`):
Peso
## `pot_motor` (type: `string`):
Pot motor
## `ref_anunciante` (type: `string`):
Ref anunciante
## `ref_anuncio` (type: `string`):
Ref anuncio
## `renta_dia` (type: `string`):
Renta dia
## `slice_category` (type: `string`):
Slice category
## `slice_label` (type: `string`):
Slice label
## `snapshot_at` (type: `string`):
Snapshot at
## `source` (type: `string`):
Source
## `telefono` (type: `string`):
Telefono
## `tiempo_uso` (type: `string`):
Tiempo uso
## `tipo` (type: `string`):
Tipo
## `tipo_motor` (type: `string`):
Tipo motor
## `ubicacion` (type: `string`):
Ubicacion
## `url` (type: `string`):
Url
## `valor` (type: `string`):
Valor
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"coverageMode": "custom_filters",
"dataDepth": "summary_only",
"maxItems": 50,
"catForkliftTruck": true,
"maxPagesPerSlice": 1,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "DE"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("rastriq/mobilede-discovery").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"coverageMode": "custom_filters",
"dataDepth": "summary_only",
"maxItems": 50,
"catForkliftTruck": True,
"maxPagesPerSlice": 1,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "DE",
},
}
# Run the Actor and wait for it to finish
run = client.actor("rastriq/mobilede-discovery").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 '{
"coverageMode": "custom_filters",
"dataDepth": "summary_only",
"maxItems": 50,
"catForkliftTruck": true,
"maxPagesPerSlice": 1,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "DE"
}
}' |
apify call rastriq/mobilede-discovery --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=rastriq/mobilede-discovery",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Mobile.de Discovery — Germany Vehicles & Machinery",
"description": "Detect new, active and disappeared vehicle and machinery listings on Mobile.de — Germany's largest automotive marketplace — to capture high-intent commercial signals. Identify dealers adding inventory, monitor sell-through and feed your DACH sales pipeline with live leads.",
"version": "0.7",
"x-build-id": "XLd6fagT3A5f3ZoiV"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/rastriq~mobilede-discovery/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-rastriq-mobilede-discovery",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/rastriq~mobilede-discovery/runs": {
"post": {
"operationId": "runs-sync-rastriq-mobilede-discovery",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/rastriq~mobilede-discovery/run-sync": {
"post": {
"operationId": "run-sync-rastriq-mobilede-discovery",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"coverageMode",
"dataDepth"
],
"properties": {
"coverageMode": {
"title": "🎯 Market coverage",
"enum": [
"full_market",
"custom_filters"
],
"type": "string",
"description": "Controls how many search slices the scraper visits.
• Full market — crawls all 68 internal slices (~30,600 listings). Best for complete census runs.
• Custom filters — apply category, condition, subtype and year filters below. Best for focused analysis or quick tests.",
"default": "full_market"
},
"dataDepth": {
"title": "📊 Data depth",
"enum": [
"summary_only",
"summary_plus_detail"
],
"type": "string",
"description": "How much data to extract per listing.
• Summary only — ~14 fields from search cards (title, price, year, hours, location, seller). Fast and cheap.
• Summary + detail — also visits detail pages for premium fields (phone, serial number, specs). Slower, higher cost.",
"default": "summary_only"
},
"maxItems": {
"title": "Max listings",
"minimum": 0,
"type": "integer",
"description": "Global limit on total listings to extract. 0 = no limit.
Use 50–100 for test runs, 0 for full market.",
"default": 0
},
"catConstructionMachine": {
"title": "🏗️ Construction Machines (Baumaschinen)",
"type": "boolean",
"description": "Excavators, loaders, cranes, dozers, rollers… · ~11,500 listings",
"default": true
},
"catAgriculturalVehicle": {
"title": "🚜 Agricultural Vehicles (Agrar)",
"type": "boolean",
"description": "Tractors, harvesters, seeders, ploughs, mulchers… · ~11,200 listings",
"default": true
},
"catForkliftTruck": {
"title": "📦 Forklifts (Stapler)",
"type": "boolean",
"description": "Front forklifts, telescopic, reach trucks, low lift… · ~7,900 listings",
"default": true
},
"constructionSubtype": {
"title": "Construction Machine subtype",
"enum": [
"all",
"WheeledLoader",
"MiniDigger",
"CaterpillarDigger",
"MobileDigger",
"OtherConstructionMachine",
"WorkingPlatform",
"ConstructionMachine_OtherSubstructure",
"ConstructionEquipment",
"Roller",
"ConstructionCrane",
"RoadBuildingTechnology",
"Dozer",
"CompactionTechnology",
"CombinedDredgerLoader",
"Grader",
"DrillMachine",
"SoilStabiliser"
],
"type": "string",
"description": "Filter construction machines by equipment type. All = no filter.",
"default": "all"
},
"agriculturalSubtype": {
"title": "Agricultural Vehicle subtype",
"enum": [
"all",
"FarmyardTractor",
"HarrowingEquipment",
"HarvestingMachine",
"HaymakingEquipment",
"OtherSubstructure",
"Tractor",
"Reaper",
"Seeder",
"FertilizerSpreader",
"LoaderWagon",
"CombineHarvester",
"Mulcher",
"Plough",
"ForestryVehicle",
"PlantProtection",
"FrontEndLoader",
"OtherAgriculturalVehicle",
"OrchardEquipment"
],
"type": "string",
"description": "Filter agricultural vehicles by equipment type. All = no filter.",
"default": "all"
},
"forkliftSubtype": {
"title": "Forklift subtype",
"enum": [
"all",
"FrontMountedForkliftTruck",
"HighLiftTruck",
"TelescopicForkliftTruck",
"LowLiftTruck",
"OtherForkliftTruck",
"ReachForkliftTruck",
"SideLoadingForkliftTruck",
"RoughTerrainForkliftTruck",
"ContainerForkliftTruck",
"HighBayRackForkliftTruck"
],
"type": "string",
"description": "Filter forklifts by equipment type. All = no filter.",
"default": "all"
},
"condition": {
"title": "Condition",
"enum": [
"all",
"new",
"used"
],
"type": "string",
"description": "Filter by new or used equipment.",
"default": "all"
},
"yearMode": {
"title": "Year filter",
"enum": [
"all",
"range"
],
"type": "string",
"description": "Enable year range filtering.",
"default": "all"
},
"yearFrom": {
"title": "Year from",
"minimum": 1950,
"maximum": 2030,
"type": "integer",
"description": "Minimum manufacture year (inclusive). Only active when year filter = range."
},
"yearTo": {
"title": "Year to",
"minimum": 1950,
"maximum": 2030,
"type": "integer",
"description": "Maximum manufacture year (inclusive). Only active when year filter = range."
},
"detailStrategy": {
"title": "Detail strategy",
"enum": [
"missing_only",
"all_items"
],
"type": "string",
"description": "When extracting detail pages, should the scraper visit every listing or only those where the search card is missing key fields (price, year, hours)?
• Missing only — skips detail pages when the search card already has all key fields. Saves time and proxy cost.
• All items — visits every detail page regardless. Gets the most complete data but takes longer.",
"default": "missing_only"
},
"includeImages": {
"title": "Include image URLs",
"type": "boolean",
"description": "Extract image URLs from each listing.",
"default": true
},
"includeSellerContacts": {
"title": "Include seller contacts",
"type": "boolean",
"description": "Extract seller phone and email. Full phone numbers require Summary + detail mode.",
"default": false
},
"maxPagesPerSlice": {
"title": "Max pages per slice",
"minimum": 1,
"maximum": 100,
"type": "integer",
"description": "Pages of results per internal slice. Each page has about 20 listings. Use 1 for quick test, 50 for full coverage.",
"default": 50
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "A German residential proxy is mandatory. Datacenter IPs are blocked."
},
"debugMode": {
"title": "Debug mode",
"type": "boolean",
"description": "Adds diagnostic fields to output. Not recommended for production.",
"default": false
},
"vehicleCategories": {
"title": "Vehicle categories (API)",
"type": "array",
"description": "Legacy array field for API backward compatibility.",
"items": {
"type": "string"
},
"default": []
},
"subtypes": {
"title": "Subtypes (API)",
"type": "array",
"description": "Legacy array field for API backward compatibility.",
"items": {
"type": "string"
},
"default": []
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```