# LinkedIn Jobs Search — No Login, Full Job Details (`arpitgandhi1934/linkedin-jobs-search`) Actor

Search LinkedIn job listings by keyword + location. Pure public API, no account or cookie needed. Returns title, company, location, posted date, seniority, employment type, job function, industries, applicants, and full job description.

- **URL**: https://apify.com/arpitgandhi1934/linkedin-jobs-search.md
- **Developed by:** [Arpit Gandhi](https://apify.com/arpitgandhi1934) (community)
- **Categories:** Lead generation, Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.09 / 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

## 💼 LinkedIn Jobs Search — No Login, Full Job Details

**Search LinkedIn jobs and get rich, structured data — no LinkedIn account, no cookies, no login. Ever.** ⚡

Give it a job title and a location. Get back clean JSON with everything a job seeker or recruiter actually cares about: salary, seniority, apply type, freshness, company info, and the full description. Fast, reliable, and built on LinkedIn's own public job data.

---

### ✨ Why this scraper?

| | |
|---|---|
| 🔓 **No login required** | No account, no cookie, no session token to expire. Nothing to get banned. |
| 🧾 **30+ fields per job** | Salary, seniority, apply type, applicants, poster, company size & website, and more. |
| ⚡ **Fast** | Parallel fetching — ~40 jobs in seconds. |
| 💰 **Smart salary detection** | Reads the listed salary *and* pulls pay ranges out of the description when LinkedIn hides them. |
| 🎯 **Powerful filters** | Date posted, remote/hybrid/on-site, job type, experience level. |
| 🌍 **Any location, any role** | Works worldwide — city, region, or whole country. |

---

### 🚀 Quick start

1. Enter a **job title / keywords** (e.g. `real estate analyst`) 🔎
2. Enter a **location** (e.g. `Toronto, Ontario, Canada`) 📍
3. Click **Start** ▶️

That's it. Results stream into the dataset — export to JSON, CSV, Excel, or pull them via API.

---

### 📥 Sample input

```json
{
  "keywords": "software engineer",
  "location": "San Francisco, California, United States",
  "maxJobs": 50,
  "enrich": true,
  "enrichCompany": true,
  "datePosted": "week",
  "workplace": "remote",
  "jobType": "full-time",
  "experience": "mid-senior"
}
````

#### ⚙️ Input options

| Field | What it does | Example |
|---|---|---|
| `keywords` ⭐ | Job title or search terms (**required**) | `"software engineer"` |
| `location` | City, region, or country. Blank = worldwide | `"San Francisco, CA"` |
| `maxJobs` | How many jobs to return (up to ~1000) | `50` |
| `enrich` | Fetch each job's full detail page (description, salary, seniority…) | `true` |
| `enrichCompany` | Also fetch company description, website & employee count | `false` |
| `datePosted` | `any` · `month` · `week` · `day` | `"week"` |
| `workplace` | `any` · `on-site` · `remote` · `hybrid` | `"remote"` |
| `jobType` | `any` · `full-time` · `part-time` · `contract` · `temporary` · `internship` | `"full-time"` |
| `experience` | `any` · `entry-level` · `associate` · `mid-senior` · `director` · `executive` | `"mid-senior"` |
| `concurrency` | Parallel requests — higher = faster (default 20) | `20` |

***

### 📤 Sample output

Each job is one record like this 👇

```json
{
  "id": "4437461678",
  "link": "https://www.linkedin.com/jobs/view/software-engineer-early-career-at-notion-4437461678",
  "title": "Software Engineer, Early Career",
  "companyName": "Notion",
  "companyLinkedinUrl": "https://www.linkedin.com/company/notionhq",
  "companyLogo": "https://media.licdn.com/dms/image/v2/D4E0BAQGwvcv_1tHZ4w/company-logo_100_100/...",
  "location": "San Francisco, CA",
  "workplaceType": null,
  "isRemote": false,
  "salaryInfo": ["$130,000", "$150,000"],
  "salarySource": "description",
  "postedAt": "2026-07-06",
  "postedText": "4 days ago",
  "postedDaysAgo": 5,
  "benefits": ["Actively Hiring"],
  "applicantsCount": "200",
  "applyType": "company-site",
  "applyUrl": "",
  "isActive": true,
  "reposted": false,
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "Software Development",
  "jobPosterName": null,
  "jobPosterTitle": null,
  "jobPosterPhoto": null,
  "jobPosterProfileUrl": null,
  "descriptionText": "Who We Are — Notion is the collaborative AI workspace where teams and agents think together...",
  "descriptionHtml": "<p>Who We Are</p><p>Notion is the collaborative AI workspace...</p>",
  "companyDescription": "Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes?...",
  "companyWebsite": "https://notion.com",
  "companyEmployeesCount": 7730
}
```

***

### 🗂️ Every field explained

#### 🧭 Job basics

| Field | Description |
|---|---|
| `id` | LinkedIn job posting ID |
| `link` | Direct URL to the job posting |
| `title` | Job title |
| `location` | Job location as shown on LinkedIn |
| `workplaceType` | `Remote` · `Hybrid` · `On-site` (when detectable) |
| `isRemote` | `true` if the role is remote |

#### 💵 Pay & freshness

| Field | Description |
|---|---|
| `salaryInfo` | Pay range as `[min, max]` (e.g. `["$130,000", "$150,000"]`) |
| `salarySource` | `listed` (official field) or `description` (parsed from the text) |
| `postedAt` | Date posted (`YYYY-MM-DD`) |
| `postedText` | Human text, e.g. `"4 days ago"` |
| `postedDaysAgo` | Days since posted, as a number — great for sorting by freshness ⏱️ |
| `benefits` | Badges like `"Actively Hiring"` |

#### 📨 Applying

| Field | Description |
|---|---|
| `applicantsCount` | Number of applicants |
| `applyType` | `easy-apply` (apply on LinkedIn) or `company-site` (apply on the employer's site) |
| `applyUrl` | External apply link when LinkedIn exposes it |
| `isActive` | `false` if the listing is no longer accepting applications ⛔ |
| `reposted` | `true` if the listing was reposted |

#### 🏷️ Classification

| Field | Description |
|---|---|
| `seniorityLevel` | e.g. `Associate`, `Mid-Senior`, `Director` |
| `employmentType` | `Full-time`, `Contract`, `Internship`… |
| `jobFunction` | e.g. `Engineering and Information Technology` |
| `industries` | e.g. `Software Development` |

#### 👤 Job poster (when available)

| Field | Description |
|---|---|
| `jobPosterName` | Name of the recruiter / hiring manager who posted |
| `jobPosterTitle` | Their job title |
| `jobPosterPhoto` | Their profile photo URL |
| `jobPosterProfileUrl` | Their LinkedIn profile URL |

#### 📝 Descriptions

| Field | Description |
|---|---|
| `descriptionText` | Full job description as clean plain text |
| `descriptionHtml` | Full job description with original HTML formatting |

#### 🏢 Company (only when `enrichCompany: true`)

| Field | Description |
|---|---|
| `companyName` | Company name |
| `companyLinkedinUrl` | Company's LinkedIn page |
| `companyLogo` | Company logo image URL |
| `companyDescription` | The company's "About" description |
| `companyWebsite` | Company website |
| `companyEmployeesCount` | Number of employees on LinkedIn |

***

### 💡 Great for

- 🔍 **Job seekers** — build a live, filtered job board with salary & freshness signals
- 🧑‍💼 **Recruiters & sourcers** — track who's hiring and see the poster behind each role
- 📊 **Market research** — salary benchmarking, hiring trends, competitor headcount
- 🤖 **Job boards & AI apps** — feed clean, structured job data into your product

***

### ❓ FAQ

**Do I need a LinkedIn account?**
No. This uses LinkedIn's public job data — no login, no cookies, nothing to configure. 🎉

**Will my account get banned?**
There's no account involved, so there's nothing to ban.

**Why is a salary sometimes empty?**
Not every employer publishes one. When the official field is empty, we still try to recover a range from the description (`salarySource: "description"`). If neither exists, `salaryInfo` is `[]`.

**Why is `applyUrl` sometimes empty?**
For jobs that apply on the company's own website, LinkedIn hides the external link publicly — so we flag it as `applyType: "company-site"` instead. Open the `link` to apply.

**How many jobs can I get?**
LinkedIn's public search tops out around ~1000 results per query. Narrow with filters or split by location to go wider.

***

*Not affiliated with LinkedIn. Scrapes publicly available job data only.*

# Actor input Schema

## `keywords` (type: `string`):

Job title or keywords, e.g. "real estate analyst" or "react developer".

## `location` (type: `string`):

Where to search — city, region, or country. E.g. "Toronto, Ontario, Canada" or just "Canada". Leave blank for worldwide.

## `maxJobs` (type: `integer`):

How many jobs to return. LinkedIn's public API caps out around 1000 per query.

## `enrich` (type: `boolean`):

Also fetch each job's detail page: description, salary, seniority, employment type, function, industries, apply type, job poster, active/expired status. Slower but far richer. Off = search cards only (fast).

## `enrichCompany` (type: `boolean`):

Also fetch each company's page for description, website, and employee count. Cached per company. Adds requests — leave off unless you need company data.

## `datePosted` (type: `string`):

Only jobs posted within this window.

## `workplace` (type: `string`):

Filter by on-site, remote, or hybrid.

## `jobType` (type: `string`):

Filter by employment type.

## `experience` (type: `string`):

Filter by seniority / experience level.

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

How many pages to fetch at once. With the Apify proxy on (default), 20 is fast and clean. Higher = faster; lower only if you run without a proxy and hit rate limits.

## `delayMs` (type: `integer`):

Delay between search-page requests. Detail fetches run in parallel (see Parallel requests).

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

Proxy to route requests through. Recommended (residential) for large runs to avoid IP rate limits.

## Actor input object example

```json
{
  "keywords": "real estate analyst",
  "location": "Toronto, Ontario, Canada",
  "maxJobs": 50,
  "enrich": true,
  "enrichCompany": false,
  "datePosted": "any",
  "workplace": "any",
  "jobType": "any",
  "experience": "any",
  "concurrency": 20,
  "delayMs": 800,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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": "real estate analyst",
    "location": "Toronto, Ontario, Canada",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("arpitgandhi1934/linkedin-jobs-search").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": "real estate analyst",
    "location": "Toronto, Ontario, Canada",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("arpitgandhi1934/linkedin-jobs-search").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": "real estate analyst",
  "location": "Toronto, Ontario, Canada",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call arpitgandhi1934/linkedin-jobs-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=arpitgandhi1934/linkedin-jobs-search",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "LinkedIn Jobs Search — No Login, Full Job Details",
        "description": "Search LinkedIn job listings by keyword + location. Pure public API, no account or cookie needed. Returns title, company, location, posted date, seniority, employment type, job function, industries, applicants, and full job description.",
        "version": "0.1",
        "x-build-id": "6oVD6Q50u6fIPe6D9"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/arpitgandhi1934~linkedin-jobs-search/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-arpitgandhi1934-linkedin-jobs-search",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/arpitgandhi1934~linkedin-jobs-search/runs": {
            "post": {
                "operationId": "runs-sync-arpitgandhi1934-linkedin-jobs-search",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/arpitgandhi1934~linkedin-jobs-search/run-sync": {
            "post": {
                "operationId": "run-sync-arpitgandhi1934-linkedin-jobs-search",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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 title / keywords",
                        "type": "string",
                        "description": "Job title or keywords, e.g. \"real estate analyst\" or \"react developer\"."
                    },
                    "location": {
                        "title": "📍 Location",
                        "type": "string",
                        "description": "Where to search — city, region, or country. E.g. \"Toronto, Ontario, Canada\" or just \"Canada\". Leave blank for worldwide."
                    },
                    "maxJobs": {
                        "title": "Max jobs",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "How many jobs to return. LinkedIn's public API caps out around 1000 per query.",
                        "default": 50
                    },
                    "enrich": {
                        "title": "Fetch full job details",
                        "type": "boolean",
                        "description": "Also fetch each job's detail page: description, salary, seniority, employment type, function, industries, apply type, job poster, active/expired status. Slower but far richer. Off = search cards only (fast).",
                        "default": true
                    },
                    "enrichCompany": {
                        "title": "Fetch company info",
                        "type": "boolean",
                        "description": "Also fetch each company's page for description, website, and employee count. Cached per company. Adds requests — leave off unless you need company data.",
                        "default": false
                    },
                    "datePosted": {
                        "title": "Date posted",
                        "enum": [
                            "any",
                            "month",
                            "week",
                            "day"
                        ],
                        "type": "string",
                        "description": "Only jobs posted within this window.",
                        "default": "any"
                    },
                    "workplace": {
                        "title": "Workplace type",
                        "enum": [
                            "any",
                            "on-site",
                            "remote",
                            "hybrid"
                        ],
                        "type": "string",
                        "description": "Filter by on-site, remote, or hybrid.",
                        "default": "any"
                    },
                    "jobType": {
                        "title": "Job type",
                        "enum": [
                            "any",
                            "full-time",
                            "part-time",
                            "contract",
                            "temporary",
                            "internship"
                        ],
                        "type": "string",
                        "description": "Filter by employment type.",
                        "default": "any"
                    },
                    "experience": {
                        "title": "Experience level",
                        "enum": [
                            "any",
                            "internship",
                            "entry-level",
                            "associate",
                            "mid-senior",
                            "director",
                            "executive"
                        ],
                        "type": "string",
                        "description": "Filter by seniority / experience level.",
                        "default": "any"
                    },
                    "concurrency": {
                        "title": "Parallel requests",
                        "minimum": 1,
                        "maximum": 40,
                        "type": "integer",
                        "description": "How many pages to fetch at once. With the Apify proxy on (default), 20 is fast and clean. Higher = faster; lower only if you run without a proxy and hit rate limits.",
                        "default": 20
                    },
                    "delayMs": {
                        "title": "Throttle (ms)",
                        "minimum": 0,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Delay between search-page requests. Detail fetches run in parallel (see Parallel requests).",
                        "default": 800
                    },
                    "proxyConfiguration": {
                        "title": "Proxy",
                        "type": "object",
                        "description": "Proxy to route requests through. Recommended (residential) for large runs to avoid IP rate limits.",
                        "default": {
                            "useApifyProxy": true
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```