# LinkedIn Company Employees Scraper ✅ No Cookies (`neuralverge/neuralverge-linkedin-company-employee`) Actor

Extract every employee at a LinkedIn company with people filters — location, job title, seniority, function, industry. Name, title, location and profile URL per person. No cookies or account required.

- **URL**: https://apify.com/neuralverge/neuralverge-linkedin-company-employee.md
- **Developed by:** [NeuralVerge](https://apify.com/neuralverge) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 2 total users, 1 monthly users, 90.0% runs succeeded, 0 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/docs.md):

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

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

### LinkedIn Company Employees Scraper ✅ No Cookies

Find and export a **company's employees on LinkedIn** with rich people filters —
location, current/past job title, seniority, function, industry, company size, years
of experience and tenure. Get name, title, company, location, LinkedIn URL and a
profile summary per person. Powered by the Neuralverge API. **No cookies or account
required.**

Ideal for recruiting and sourcing, sales prospecting, market mapping and building
targeted people lists.

### ✨ Why this Actor

- 🎯 **Precise targeting** — filter by location, job title, seniority, function,
  industry, company size and tenure to build exactly the list you need.
- 📇 **Clean people table** — one row per employee, ready for a spreadsheet, ATS,
  CRM or AI pipeline.
- 🍪 **No cookies, login or account** — never share LinkedIn credentials or risk
  account restrictions. Everything runs on the Neuralverge backend.
- ⚡ **Real-time & structured** — fresh data each run.

### 🔧 How it works

1. **Provide one or more companies** — a LinkedIn company URL
   (`https://www.linkedin.com/company/revolut`) and/or a plain name (`Revolut`).
2. **Add filters (optional)** — location, current/past title, seniority, function,
   industry, company size, years of experience, tenure — and a `maxResults` cap.
3. **Run the Actor.** The search and profile resolution happen on the Neuralverge
   backend, and you get **one dataset row per employee**. Export to CSV, JSON or Excel,
   or pull it over the Apify API.

### Input

| Field | Type | Notes |
|---|---|---|
| `companies` | array | LinkedIn company URL(s) and/or name(s) to search. **Required.** |
| `searchQuery` | string | Optional free-text keyword to match within profiles. |
| `locations` | array | Filter by location, e.g. `London`, `Amsterdam`. |
| `currentJobTitleFilter` | array | Filter by current job title, e.g. `Recruiter`. |
| `pastJobTitle` | array | Filter by a previously-held job title. |
| `yearsOfExperienceFilter` | array | Filter by total years of experience. |
| `yearsAtCurrentCompanyFilter` | array | Filter by tenure at the current company. |
| `seniorityLevelFilter` | array | Filter by seniority, e.g. `Director`, `VP`, `CXO`. |
| `functionFilter` | array | Filter by job function, e.g. `Sales`, `Engineering`. |
| `industryIds` | array | Filter by LinkedIn industry ID(s). |
| `companyHeadcountFilter` | array | Filter by company size band. |
| `scraperMode` | string | `short` (basic profile) or `full` (extended). Default `short`. |
| `maxResults` | integer | Maximum employees to return per run. Default `20`. |

```json
{
  "companies": ["https://www.linkedin.com/company/revolut/?originalSubdomain=uk"],
  "maxResults": 20
}
````

### What you'll receive

**One dataset row per employee.** Each row has the key fields flattened to top-level
columns, plus the full `currentPositions` array:

- **Identity** — `id`, `linkedinUrl`, `firstName`, `lastName`, `fullName`, `pictureUrl`
- **Current role** — `title`, `company`, `companyLinkedinUrl`, `tenureAtCompany`
- **Context** — `location`, `summary`, `premium`, `openProfile`
- **Full detail** — `currentPositions` (every current role with description, tenure and
  start date)

> **Nulls are normal.** Only fields present on the profile are filled — e.g. `summary`
> can be `null`. `linkedinUrl` uses LinkedIn's stable profile identifier.

#### Example output (real run)

One employee row from a search of `https://www.linkedin.com/company/revolut/?originalSubdomain=uk`.
The `human` markdown summary and internal pagination metadata are produced by the system
but omitted from the dataset.

```json
{
  "id": "ACwAAAym4rQBF-7W8WWZe1z1leIO5TbcGu8_lv8",
  "linkedinUrl": "https://www.linkedin.com/in/ACwAAAym4rQBF-7W8WWZe1z1leIO5TbcGu8_lv8",
  "firstName": "Nicola",
  "lastName": "Vicino",
  "fullName": "Nicola Vicino",
  "title": "Head of Southern Europe and GM Italy",
  "company": "Revolut",
  "companyLinkedinUrl": "https://www.linkedin.com/company/5356541",
  "tenureAtCompany": "2y 2m",
  "location": "Milan, Lombardy, Italy",
  "summary": null,
  "premium": true,
  "openProfile": false,
  "pictureUrl": "https://media.licdn.com/dms/image/v2/D4D03AQEJzrIDiWt3PQ/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1733079245807?e=1785974400&v=beta&t=Dom9JK72gSeqmxcZ9x8EzcmH5B3UE5OKTYCeq-9XPSk",
  "currentPositions": [
    {
      "tenureAtPosition": {
        "numMonths": 3
      },
      "companyName": "Revolut",
      "description": "Broadened scope to cover also Spain, Portugal, Greece, and Croatia, serving a total of 15 million customers across the region.",
      "title": "Head of Southern Europe and GM Italy",
      "current": true,
      "tenureAtCompany": {
        "numYears": 2,
        "numMonths": 2
      },
      "startedOn": {
        "month": 5,
        "year": 2026
      },
      "companyId": "5356541",
      "companyLinkedinUrl": "https://www.linkedin.com/company/5356541"
    }
  ]
}
```

> Genuine output from a live run — one of 20 employees returned for this search.

### Pricing — pay per event

This Actor uses Apify **Pay-Per-Event**:

| Event | Price |
|---|---|
| Search run (per run) | **$0.030** |
| Employee returned (per profile) | **$0.005** |

A run that returns 20 employees costs **$0.030 + 20 × $0.005 = $0.130**. The per-run
search fee applies to every run; per-employee fees apply only to employees actually
returned. Pricing is on top of your Apify platform usage.

### Integrations & API

Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel,
or fetch on demand through the [Apify API](https://docs.apify.com/api). The Actor
also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and can be called
from any [MCP](https://mcp.apify.com/) client.

### FAQ

**Do I need a LinkedIn account or cookies?** No. Everything runs on the Neuralverge
backend — you never provide credentials or a session.

**Can I search several companies at once?** Yes — pass multiple company URLs or names
in `companies`.

**How do I get full profiles or emails?** This Actor returns a company-employee list.
Feed a returned `linkedinUrl` into the LinkedIn Profile or LinkedIn Email actor for the
full profile or a work email.

***

**Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed
by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of
LinkedIn Corporation. All trademarks are property of their respective owners.

# Actor input Schema

## `companies` (type: `array`):

One or more target companies — a LinkedIn company URL (e.g. https://www.linkedin.com/company/revolut) and/or a plain company name (e.g. Revolut). Employees are searched across all companies listed.

## `searchQuery` (type: `string`):

Optional free-text keyword to match within employee profiles.

## `locations` (type: `array`):

Filter employees by location, e.g. "London", "Amsterdam".

## `currentJobTitleFilter` (type: `array`):

Filter by current job title, e.g. "Recruiter", "Founder".

## `pastJobTitle` (type: `array`):

Filter by a previously-held job title, e.g. "Sales Manager".

## `seniorityLevelFilter` (type: `array`):

Filter by seniority, e.g. "Senior", "Manager", "Director", "VP", "CXO".

## `functionFilter` (type: `array`):

Filter by job function, e.g. "Sales", "Engineering", "Marketing".

## `industryIds` (type: `array`):

Filter by LinkedIn industry ID(s).

## `yearsOfExperienceFilter` (type: `array`):

Filter by total years of experience (LinkedIn range values).

## `yearsAtCurrentCompanyFilter` (type: `array`):

Filter by tenure at the current company (LinkedIn range values).

## `companyHeadcountFilter` (type: `array`):

Filter by company headcount band (LinkedIn range values).

## `scraperMode` (type: `string`):

"short" returns a fast, basic profile per employee (name, title, company, location, summary). Use "full" for extended profile data if enabled on your plan.

## `maxResults` (type: `integer`):

Maximum number of employees to return per run.

## Actor input object example

```json
{
  "companies": [
    "https://www.linkedin.com/company/revolut",
    "Revolut"
  ],
  "scraperMode": "short",
  "maxResults": 20
}
```

# Actor output Schema

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

Structured LinkedIn employee rows (name, title, company, location, tenure, profile URL), one row per person.

# 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 = {
    "companies": [
        "https://www.linkedin.com/company/revolut/?originalSubdomain=uk",
        "Revolut"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuralverge/neuralverge-linkedin-company-employee").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 = { "companies": [
        "https://www.linkedin.com/company/revolut/?originalSubdomain=uk",
        "Revolut",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("neuralverge/neuralverge-linkedin-company-employee").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 '{
  "companies": [
    "https://www.linkedin.com/company/revolut/?originalSubdomain=uk",
    "Revolut"
  ]
}' |
apify call neuralverge/neuralverge-linkedin-company-employee --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "LinkedIn Company Employees Scraper ✅ No Cookies",
        "description": "Extract every employee at a LinkedIn company with people filters — location, job title, seniority, function, industry. Name, title, location and profile URL per person. No cookies or account required.",
        "version": "0.1",
        "x-build-id": "FaE8DkC1IeESXfkZt"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/neuralverge~neuralverge-linkedin-company-employee/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-neuralverge-neuralverge-linkedin-company-employee",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/neuralverge~neuralverge-linkedin-company-employee/runs": {
            "post": {
                "operationId": "runs-sync-neuralverge-neuralverge-linkedin-company-employee",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/neuralverge~neuralverge-linkedin-company-employee/run-sync": {
            "post": {
                "operationId": "run-sync-neuralverge-neuralverge-linkedin-company-employee",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "companies": {
                        "title": "LinkedIn company URLs or names",
                        "type": "array",
                        "description": "One or more target companies — a LinkedIn company URL (e.g. https://www.linkedin.com/company/revolut) and/or a plain company name (e.g. Revolut). Employees are searched across all companies listed.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "searchQuery": {
                        "title": "Search query",
                        "type": "string",
                        "description": "Optional free-text keyword to match within employee profiles."
                    },
                    "locations": {
                        "title": "Locations",
                        "type": "array",
                        "description": "Filter employees by location, e.g. \"London\", \"Amsterdam\".",
                        "items": {
                            "type": "string"
                        }
                    },
                    "currentJobTitleFilter": {
                        "title": "Current job title",
                        "type": "array",
                        "description": "Filter by current job title, e.g. \"Recruiter\", \"Founder\".",
                        "items": {
                            "type": "string"
                        }
                    },
                    "pastJobTitle": {
                        "title": "Past job title",
                        "type": "array",
                        "description": "Filter by a previously-held job title, e.g. \"Sales Manager\".",
                        "items": {
                            "type": "string"
                        }
                    },
                    "seniorityLevelFilter": {
                        "title": "Seniority level",
                        "type": "array",
                        "description": "Filter by seniority, e.g. \"Senior\", \"Manager\", \"Director\", \"VP\", \"CXO\".",
                        "items": {
                            "type": "string"
                        }
                    },
                    "functionFilter": {
                        "title": "Function",
                        "type": "array",
                        "description": "Filter by job function, e.g. \"Sales\", \"Engineering\", \"Marketing\".",
                        "items": {
                            "type": "string"
                        }
                    },
                    "industryIds": {
                        "title": "Industry",
                        "type": "array",
                        "description": "Filter by LinkedIn industry ID(s).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "yearsOfExperienceFilter": {
                        "title": "Years of experience",
                        "type": "array",
                        "description": "Filter by total years of experience (LinkedIn range values).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "yearsAtCurrentCompanyFilter": {
                        "title": "Years at current company",
                        "type": "array",
                        "description": "Filter by tenure at the current company (LinkedIn range values).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "companyHeadcountFilter": {
                        "title": "Company size",
                        "type": "array",
                        "description": "Filter by company headcount band (LinkedIn range values).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "scraperMode": {
                        "title": "Scraping mode",
                        "enum": [
                            "short",
                            "full"
                        ],
                        "type": "string",
                        "description": "\"short\" returns a fast, basic profile per employee (name, title, company, location, summary). Use \"full\" for extended profile data if enabled on your plan.",
                        "default": "short"
                    },
                    "maxResults": {
                        "title": "Maximum items",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum number of employees to return per run.",
                        "default": 20
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```