# LinkedIn Hiring Signal Monitor — Company Job Tracker (`bovi/hiring-signal-monitor`) Actor

Track which companies are hiring on LinkedIn right now. Returns company, job title, location, and post date — ideal for sales triggers, recruiting intel, and market research. Pay per result.

- **URL**: https://apify.com/bovi/hiring-signal-monitor.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Lead generation, Jobs, MCP servers
- **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.70 / 1,000 job / company signals

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

### LinkedIn Hiring Signal Monitor — Company Job Tracker

Track which companies are actively hiring on LinkedIn right now, without logging in or managing cookies. Enter one or more job titles (keywords) and locations — the actor returns a fresh feed of matching job postings with company name, job URL, and posting date.

### Why this matters for sales and recruiting

**Sales trigger**: a company posting 5+ "Account Executive" roles this week is scaling its sales org. That's your window to pitch sales tooling, training, or recruiting services *before* they've made hires. Hiring is a leading indicator of growth — catch it at the top of the funnel.

**Recruiting intel**: track when a competitor starts posting roles in a new city or function. See what titles they're using, what locations they're expanding into, and how fast they're hiring.

**Market research**: monitor hiring velocity in a job category (e.g. "data engineer" in Germany) to track demand trends over time.

### Output — two record types

The run emits **job records** (one per posting) and, on top of them, **company hiring-signal
records** — the differentiator: an aggregated, firmographics-enriched B2B prospect list of the
companies that are actively scaling. Filter by `record_type`.

#### Job record fields

| Field | Description |
|---|---|
| `title` | Job title exactly as listed |
| `company` / `company_url` | Company name + LinkedIn company page URL |
| `location` | Location string from the listing |
| `posted_date` | ISO date the job was posted |
| `job_url` / `listing_id` | Direct link + LinkedIn's internal job ID |
| `seniority` | Inferred level: Senior, Junior, Manager, Director, etc. |
| `description_text` | Full job description (detail enrichment) |
| `employment_type` | Full-time / Contract / Part-time (detail) |
| `job_function` | LinkedIn job function (detail) |
| `industries` | Company industry for the role (detail) |
| `applicants` | Applicant count — hiring-urgency signal (detail) |
| `salary` | Salary when LinkedIn surfaces it (detail) |
| `apply_url` | Offsite application URL when present (detail) |
| `skills_mentioned` | Skills from the posting text (e.g. `python`, `aws`, `react`) |
| `search_keyword` / `search_location` | Which query produced this result |
| `parse_confidence` | Data completeness score 0–1 |

#### Company hiring-signal record (`record_type: "company_hiring_signal"`)

Emitted for every company with at least `minOpenRoles` (default 2) open roles in the run.

| Field | Description |
|---|---|
| `company` / `company_url` | Company + LinkedIn page |
| `open_roles_in_run` | How many open roles matched — the scaling signal |
| `hiring_velocity` | `emerging` / `active` / `high` / `aggressive` (by role count) |
| `roles` | List of the open job titles |
| `hiring_locations` | Distinct locations they're hiring in |
| `seniority_breakdown` | Count of roles by inferred seniority |
| `functions_hiring` | Distinct job functions being hired |
| `industries` | Industries inferred from the roles |
| `total_applicants` / `avg_applicants_per_role` | Aggregate demand across the roles |
| `earliest_post` / `latest_post` | Posting-date range (recency of the hiring push) |
| `company_size` / `company_size_tier` | Employee band + tier (Startup→Enterprise) |
| `company_followers` | LinkedIn follower count |
| `company_industry` / `company_hq` / `company_website` | Firmographics from the company page |

### Sample output

```json
[
  {
    "title": "Software Engineer, New Grad",
    "company": "Notion",
    "company_url": "https://www.linkedin.com/company/notionhq",
    "location": "San Francisco, CA",
    "posted_date": "2026-06-08",
    "job_url": "https://www.linkedin.com/jobs/view/3987654321",
    "listing_id": "3987654321",
    "seniority": null,
    "job_function": "Engineering and Information Technology",
    "industries": "Software Development",
    "applicants": 200,
    "skills_mentioned": ["javascript", "typescript", "react", "node.js", "postgres"],
    "parse_confidence": 1.0
  },
  {
    "record_type": "company_hiring_signal",
    "company": "Notion",
    "company_url": "https://www.linkedin.com/company/notionhq",
    "open_roles_in_run": 3,
    "hiring_velocity": "active",
    "roles": ["Software Engineer, New Grad", "Senior Backend Engineer", "ML Engineer"],
    "hiring_locations": ["San Francisco, CA", "New York, NY"],
    "seniority_breakdown": {"Senior": 1, "Internship": 1},
    "functions_hiring": ["Engineering and Information Technology"],
    "total_applicants": 600,
    "avg_applicants_per_role": 200.0,
    "company_size": "501-1,000 employees",
    "company_size_tier": "Mid-market",
    "company_followers": 1041922,
    "company_hq": "San Francisco, California, US"
  }
]
````

### Input

| Field | Required | Default | Notes |
|---|---|---|---|
| `keywords` | Yes | — | List of job title keywords. Each runs as a separate search. |
| `locations` | No | Global | List of location strings (city, country, region). |
| `postedWithin` | No | `week` | `24h`, `week`, or `month`. |
| `maxItems` | No | 100 | Total results cap (max 1000). |
| `proxyConfiguration` | No | RESIDENTIAL | Apify RESIDENTIAL proxy recommended. |

### Technical notes

- Uses LinkedIn's public guest jobs API (no login, no cookies required).
- Apify RESIDENTIAL proxy for reliability.
- Deduplicates results across keyword/location combinations.
- Results capped at 1000 per run; use multiple runs for larger volumes.

### 💰 Pricing & how we compare

**Pay-per-result (PPE): from $2.70 / 1K results.** You are billed per `job-result` actually returned — plus the tiny
`apify-actor-start` fee Apify waives for short runs. No subscription, no API key, no proxy fee on top.

**Our edge:** Company hiring-velocity signal (who is ramping) · per-job detail enrichment · no cookies, no login.

**Pricing examples** (pay only for what you get, minus Apify's 20%):

| Volume | Cost |
|---|---|
| 100 results | $0.27 |
| 1,000 results | $2.70 |
| 10,000 results | $27.00 |

#### How rivals price the same job (live Apify Store, checked 2026-06-09)

| Actor | Their price | What they lack vs us |
|---|---|---|
| `agentx/linkedin-jobs-scraper` | $2.80/1K | 5★ full taxonomy, but no company-velocity hiring signal |
| `scrapemint/linkedin-jobs-scraper-pro` | FREE | 56% success rate — unreliable at scale |

*Prices above are competitors' live Store prices at the time of writing; ours is set to sit just
below the strongest comparable while returning richer, quality-scored data.*

### 🤖 Use with AI agents (MCP)

This actor is agent-ready (category **MCP\_SERVERS**). Point any MCP client (Claude Desktop, Cursor,
n8n AI, LangGraph) at it:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?actors=bovi/hiring-signal-monitor",
      "headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }
    }
  }
}
```

# Actor input Schema

## `keywords` (type: `array`):

Job title keywords to search for. Each keyword runs as a separate search. Examples: \["data engineer", "software engineer", "account executive"]. You can target by role to find companies scaling specific functions.

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

Locations to search in. Use city names, country names, or region names that LinkedIn recognizes. Examples: \["United States", "San Francisco Bay Area", "London", "Germany"]. Leave empty to search globally.

## `postedWithin` (type: `string`):

Filter jobs by how recently they were posted. '24h' = last 24 hours (freshest signals), 'week' = last 7 days, 'month' = last 30 days.

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

Maximum total job listings to return across all keyword+location combinations. Each returned item is one charge. For a quick company pulse, 50–100 is usually enough. Max cap is 1000 per run.

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

Fetch each job's detail page for description, applicant count, salary, employment type, job function, industries, and skills mentioned. ON = richest data (recommended). OFF = faster, search-card fields only.

## `minOpenRoles` (type: `integer`):

A company is emitted as a 'company\_hiring\_signal' record (with firmographics + hiring breakdown) when it has at least this many open roles in the run — your sales trigger for actively-scaling companies. Default 2.

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

Apify proxy settings. RESIDENTIAL proxy is strongly recommended — LinkedIn's guest API rate-limits datacenter IPs.

## Actor input object example

```json
{
  "keywords": [
    "sales manager",
    "marketing director"
  ],
  "locations": [
    "United Kingdom",
    "San Francisco Bay Area"
  ],
  "postedWithin": "week",
  "maxItems": 200,
  "scrapeDetails": true,
  "minOpenRoles": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Dataset containing Hiring Signal Monitor records (record\_type, title, company, company\_url, location, posted\_date, seniority, employment\_type, applicants, hiring\_velocity, job\_url, parse\_confidence).

# 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 = {
    "keywords": [
        "data engineer",
        "software engineer"
    ],
    "locations": [
        "United States"
    ],
    "postedWithin": "week",
    "maxItems": 100,
    "scrapeDetails": true,
    "minOpenRoles": 2,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/hiring-signal-monitor").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 = {
    "keywords": [
        "data engineer",
        "software engineer",
    ],
    "locations": ["United States"],
    "postedWithin": "week",
    "maxItems": 100,
    "scrapeDetails": True,
    "minOpenRoles": 2,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/hiring-signal-monitor").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 '{
  "keywords": [
    "data engineer",
    "software engineer"
  ],
  "locations": [
    "United States"
  ],
  "postedWithin": "week",
  "maxItems": 100,
  "scrapeDetails": true,
  "minOpenRoles": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bovi/hiring-signal-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bovi/hiring-signal-monitor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "LinkedIn Hiring Signal Monitor — Company Job Tracker",
        "description": "Track which companies are hiring on LinkedIn right now. Returns company, job title, location, and post date — ideal for sales triggers, recruiting intel, and market research. Pay per result.",
        "version": "0.1",
        "x-build-id": "uufuUmWOXtV2WpkPy"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/bovi~hiring-signal-monitor/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-bovi-hiring-signal-monitor",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/bovi~hiring-signal-monitor/runs": {
            "post": {
                "operationId": "runs-sync-bovi-hiring-signal-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/bovi~hiring-signal-monitor/run-sync": {
            "post": {
                "operationId": "run-sync-bovi-hiring-signal-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "keywords"
                ],
                "properties": {
                    "keywords": {
                        "title": "Job Keywords",
                        "type": "array",
                        "description": "Job title keywords to search for. Each keyword runs as a separate search. Examples: [\"data engineer\", \"software engineer\", \"account executive\"]. You can target by role to find companies scaling specific functions.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "locations": {
                        "title": "Locations",
                        "type": "array",
                        "description": "Locations to search in. Use city names, country names, or region names that LinkedIn recognizes. Examples: [\"United States\", \"San Francisco Bay Area\", \"London\", \"Germany\"]. Leave empty to search globally.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "postedWithin": {
                        "title": "Posted Within",
                        "enum": [
                            "24h",
                            "week",
                            "month"
                        ],
                        "type": "string",
                        "description": "Filter jobs by how recently they were posted. '24h' = last 24 hours (freshest signals), 'week' = last 7 days, 'month' = last 30 days.",
                        "default": "week"
                    },
                    "maxItems": {
                        "title": "Max Results",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Maximum total job listings to return across all keyword+location combinations. Each returned item is one charge. For a quick company pulse, 50–100 is usually enough. Max cap is 1000 per run.",
                        "default": 100
                    },
                    "scrapeDetails": {
                        "title": "Enrich with job details",
                        "type": "boolean",
                        "description": "Fetch each job's detail page for description, applicant count, salary, employment type, job function, industries, and skills mentioned. ON = richest data (recommended). OFF = faster, search-card fields only.",
                        "default": true
                    },
                    "minOpenRoles": {
                        "title": "Min open roles for a company signal",
                        "minimum": 1,
                        "maximum": 50,
                        "type": "integer",
                        "description": "A company is emitted as a 'company_hiring_signal' record (with firmographics + hiring breakdown) when it has at least this many open roles in the run — your sales trigger for actively-scaling companies. Default 2.",
                        "default": 2
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Apify proxy settings. RESIDENTIAL proxy is strongly recommended — LinkedIn's guest API rate-limits datacenter IPs."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```