# LinkedIn Profile Scraper (`calm_builder/linkedin-profile-scraper`) Actor

Extract structured data from public LinkedIn profiles using URLs or usernames — no LinkedIn login required. Export names, headlines, locations, experience, education, skills, posts, articles, and recommendations as clean JSON. Only successfully retrieved profiles are saved to your dataset.

- **URL**: https://apify.com/calm\_builder/linkedin-profile-scraper.md
- **Developed by:** [Coder](https://apify.com/calm_builder) (community)
- **Categories:** Lead generation, Social media, Developer tools
- **Stats:** 25 total users, 17 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 profile scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Profile Scraper

Collect structured profile data from public [LinkedIn](https://www.linkedin.com) profiles using profile URLs or public usernames. Add one or more entries, start a run, and receive clean JSON records in your Apify dataset — no LinkedIn login required.

Use it for **recruiting**, **lead generation**, **sales intelligence**, **investor research**, **talent mapping**, and **market analysis** — without copying profile sections manually.

---

### What you get

Each saved row is **one LinkedIn profile**, organized into clear sections:

| Section | What it contains |
| -------- | ---------------- |
| **Identity** | Profile URL, public identifier, success flag, full name, headline, and location |
| **Social stats** | Follower count, follower label, and connections label when LinkedIn shows them |
| **About** | Summary text from the public profile page |
| **Media** | Profile picture and background image URLs when available |
| **`currentCompany`** | Current employer name and company page link |
| **`currentSchool`** | Current or most recent school name and link |
| **`websites`** | External links listed on the profile (label + URL) |
| **`experience`** | Work history — title, company, dates, location, logo, and company URL |
| **`education`** | Schools — degree, dates, activities, logo, and school URL |
| **`skills`** | Skills listed on the public profile |
| **`languages`** | Languages when published |
| **`awards`** | Awards when published |
| **`projects`** | Projects with descriptions and contributors when visible |
| **`posts`** | Recent activity — post URL, text, publish date, likes, and post type |
| **`articles`** | LinkedIn articles — headline, snippet, publish date, likes, and cover image |
| **`recommendations`** | Recommendations — author name, profile link, and text when visible |

Results are saved to the dataset **as each profile is processed**, so you can preview progress before the run finishes.

---

### Quick start on Apify

1. Open the Actor in the Apify Console.
2. Under **LinkedIn profiles**, add one or more profile URLs or public usernames (one per line).
3. Click **Start** and open the **Dataset** tab as profiles are saved.

**Supported input formats:**

- Public username: `satyanadella`
- Full profile URL: `https://www.linkedin.com/in/williamhgates`
- Regional profile URL: `https://pk.linkedin.com/in/username`

**Example input:**

```json
{
  "profiles": [
    "satyanadella",
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/dharmesh"
  ]
}
````

***

### Input parameters

#### LinkedIn profiles

| | |
| --- | --- |
| **Type** | List of text entries (one profile per line) |
| **Required** | Yes — at least one entry |
| **Formats** | Public username, `linkedin.com/in/...` URL, or regional LinkedIn URL (`pk.linkedin.com`, `uk.linkedin.com`, etc.) |

Duplicate entries in the same run are processed once.

Invalid entries that cannot be recognized as a profile URL or username are skipped with a warning and saved to the dataset with `success: false`.

***

### What you will see during a run

The run log is written for end users — messages describe collection progress only.

Typical messages:

- `Starting profile collection for N profile(s).`
- `Saved profile: Bill Gates.` (after each successful profile)
- `Retrying N profile(s) that could not be retrieved on the first attempt.`
- `Run complete. Saved N profile record(s); M retrieved successfully.`

If a profile cannot be retrieved, you will see a warning for that entry; other profiles in the same run can still succeed.

On the Apify **free plan**, you may also see a notice when free-tier limits apply (see [Free plan limits](#free-plan-limits)).

***

### Output overview

#### Dataset structure

- Results are saved to a **single Apify dataset**
- Each row is one profile object with nested sections (`experience`, `education`, `posts`, etc.)
- Check **`success`** on each row — `true` means the profile was retrieved; `false` means only identity fields and an **`error`** message are returned

Field presence varies by profile: not every person publishes skills, projects, posts, articles, or recommendations on their public page. Missing sections are omitted from the output — not necessarily a scraper error.

***

### Output fields

#### Status and identity

| Field | Description |
| ----- | ----------- |
| `success` | Whether the profile was retrieved successfully |
| `error` | Short explanation when `success` is `false` |
| `linkedinUrl` | Canonical LinkedIn profile URL |
| `publicIdentifier` | Public username slug (the part after `/in/`) |
| `fullName` | Display name |
| `headline` | Professional headline |
| `location` | Location string when shown |
| `country` | Country code when available |
| `followers` | Numeric follower count when available |
| `followersText` | Follower label as shown on the profile (for example `40M followers`) |
| `connections` | Connections label when shown (for example `500+ connections`) |
| `about` | About / summary text |
| `profilePictureUrl` | Profile photo URL |
| `backgroundImageUrl` | Cover / background image URL |

#### `currentCompany` and `currentSchool`

| Field | Description |
| ----- | ----------- |
| `name` | Organization name |
| `url` | Link to the LinkedIn company or school page |

#### `websites`

| Field | Description |
| ----- | ----------- |
| `label` | Link label as shown on the profile |
| `url` | Destination URL |

#### `experience` (array)

| Field | Description |
| ----- | ----------- |
| `title` | Job title |
| `company` | Company name |
| `companyUrl` | LinkedIn company page link |
| `location` | Role location or date context when shown |
| `dateRange` | Display date range |
| `startDate` | Start date when parsed |
| `endDate` | End date when parsed |
| `logoUrl` | Company logo URL |

#### `education` (array)

| Field | Description |
| ----- | ----------- |
| `school` | School or university name |
| `schoolUrl` | LinkedIn school page link |
| `degree` | Degree or program when listed |
| `dateRange` | Display date range |
| `startDate` | Start date when parsed |
| `endDate` | End date when parsed |
| `activities` | Activities and societies when listed |
| `logoUrl` | School logo URL |

#### `projects` (array)

| Field | Description |
| ----- | ----------- |
| `name` | Project name |
| `dateRange` | Project date range when listed |
| `description` | Project description |
| `contributors` | Contributors with `name` and `profileUrl` when listed |

#### `posts` (array)

| Field | Description |
| ----- | ----------- |
| `url` | Post URL |
| `text` | Post body text when available |
| `headline` | Post headline when available |
| `publishedAt` | Publish timestamp when available |
| `likes` | Like count when available |
| `authorName` | Author name when shown |
| `postType` | `original`, `repost`, or `activity` |

#### `articles` (array)

| Field | Description |
| ----- | ----------- |
| `url` | Article URL |
| `headline` | Article title |
| `snippet` | Short preview text |
| `publishedAt` | Publish date when available |
| `likes` | Reaction count when available |
| `imageUrl` | Cover image URL |

#### `recommendations` (array)

| Field | Description |
| ----- | ----------- |
| `authorName` | Recommender's name |
| `authorProfileUrl` | Recommender's profile link |
| `text` | Recommendation text |

#### Other arrays

| Field | Description |
| ----- | ----------- |
| `skills` | List of skill names |
| `languages` | List of language names |
| `awards` | List of award names |

***

### Example output

The excerpts below come from a real run of public profiles. Full output is available in the run dataset.

#### Example input

```json
{
  "profiles": [
    "williamhgates",
    "https://www.linkedin.com/in/dharmesh",
    "michelleobama"
  ]
}
```

#### Excerpt — successful profile with experience, posts, and articles

```json
{
  "linkedinUrl": "https://www.linkedin.com/in/williamhgates",
  "publicIdentifier": "williamhgates",
  "success": true,
  "fullName": "Bill Gates",
  "headline": "Chair, Gates Foundation and Founder, Breakthrough Energy",
  "location": "Seattle, Washington, United States",
  "country": "US",
  "followers": 40466431,
  "followersText": "40M followers",
  "connections": "8 connections",
  "about": "Chair of the Gates Foundation. Founder of Breakthrough Energy. Co-founder of Microsoft. Voracious reader. Avid traveler. Active blogger.",
  "currentCompany": {
    "name": "Gates Foundation",
    "url": "https://www.linkedin.com/company/gates-foundation?trk=public_profile_topcard-current-company"
  },
  "currentSchool": {
    "name": "Harvard University",
    "url": "https://www.linkedin.com/school/harvard-university/?trk=public_profile_topcard-school"
  },
  "experience": [
    {
      "title": "Co-chair",
      "company": "Gates Foundation",
      "companyUrl": "https://www.linkedin.com/company/gates-foundation?trk=public_profile_experience-item_profile-section-card_image-click",
      "dateRange": "2000",
      "startDate": 2000
    },
    {
      "title": "Co-founder",
      "company": "Microsoft",
      "companyUrl": "https://www.linkedin.com/company/microsoft?trk=public_profile_experience-item_profile-section-card_image-click",
      "dateRange": "1975",
      "startDate": 1975
    }
  ],
  "education": [
    {
      "school": "Harvard University",
      "schoolUrl": "https://www.linkedin.com/school/harvard-university/?trk=public_profile_school_profile-section-card_image-click",
      "dateRange": "1973 - 1975",
      "startDate": 1973,
      "endDate": 1975
    }
  ],
  "posts": [
    {
      "url": "https://www.linkedin.com/posts/williamhgates_contrailbench-activity-7475933533346381832-unQ5",
      "text": "Contrails.org has launched a new tool that compares contrail forecasts with real-world observations…",
      "publishedAt": "2026-06-25T15:30:50.459Z",
      "likes": 596,
      "authorName": "Bill Gates",
      "postType": "original"
    }
  ]
}
```

#### Excerpt — profile with projects, skills, and articles

```json
{
  "linkedinUrl": "https://www.linkedin.com/in/dharmesh",
  "publicIdentifier": "dharmesh",
  "success": true,
  "fullName": "Dharmesh Shah",
  "headline": "Founder and CTO at HubSpot. Helping millions grow better.",
  "skills": [
    "Entrepreneurship",
    "Start-ups",
    "SaaS",
    "Software as a Service (SaaS)"
  ],
  "languages": [
    "English",
    "Gujarati"
  ],
  "projects": [
    {
      "name": "agent.ai",
      "dateRange": "Apr 2024",
      "description": "Agent.ai is the professional network for AI agents. Discover, build and engage AI agents."
    }
  ],
  "articles": [
    {
      "url": "https://www.linkedin.com/pulse/learning-write-your-first-ai-loop-dharmesh-shah-rbhle",
      "headline": "Learning To Write Your First AI Loop",
      "snippet": "Boris Cherny, the creator of Claude Code, has given up on prompting AI…",
      "publishedAt": "2026-06-11T19:08:25.000+00:00",
      "likes": 554
    }
  ]
}
```

#### Excerpt — profile that could not be retrieved

```json
{
  "linkedinUrl": "https://www.linkedin.com/in/michelleobama",
  "publicIdentifier": "michelleobama",
  "success": false,
  "error": "LinkedIn blocked the request"
}
```

When `success` is `false`, the dataset row contains the profile identifier and a user-friendly **`error`** message. No partial profile data is included.

***

### Free plan limits

On the Apify **free plan**, the Actor may automatically apply:

| Limit | Value |
| ----- | ----- |
| Profiles processed per run | **2** (only the first entries in your list) |

Additional profiles in the same run receive a dataset record with `success: false` and an error message explaining the limit.

Paid Apify plans can process the full input list without this cap. If limits apply, the run log will include a short notice.

***

### Public profiles and data coverage

**No LinkedIn login required**\
The Actor reads publicly visible profile pages. It does not sign in to LinkedIn and does not use your account or cookies.

**Guest view vs signed-in view**\
Results reflect what LinkedIn shows to visitors who are not logged in. Compared with what you see when signed in, output may include:

- Fewer experience or education entries
- Shorter or truncated About text
- Limited activity, posts, or articles
- Missing skills, recommendations, or contact details

Coverage varies by profile and by each member's privacy settings.

**High-profile or restricted profiles**\
Some profiles may return `success: false` with messages such as "LinkedIn blocked the request" or "Profile not found." Retrying the run later or reducing batch size can help in some cases.

**Activity and posts**\
Only activity visible on the public profile page is collected. Full post history or private activity is not available without a logged-in session.

**Compliance**\
You are responsible for using collected data in line with applicable laws and [LinkedIn's terms of service](https://www.linkedin.com/legal/user-agreement).

***

### Tips for best results

1. **Use public usernames or full profile URLs** — Both formats work; regional URLs (`pk.linkedin.com/in/...`) are supported.
2. **Start with a small batch** — Test with 5–10 profiles before large exports.
3. **Check `success` on every row** — Filter the dataset on `success: true` for completed profiles only.
4. **Expect variation** — Executives, creators, and private individuals expose different sections publicly.
5. **Schedule recurring runs** — Use Apify schedules to refresh profile data for your target list over time.
6. **Export flexibly** — Download the dataset as JSON, CSV, Excel, or connect via API to your CRM or data warehouse.
7. **Deduplicate on `publicIdentifier`** — Use the username slug as a stable key across runs.

***

### Frequently asked questions

**Why is `success` false for some profiles?**\
The profile may be private, restricted, temporarily unavailable, or blocked during that run. Check the `error` field for a short explanation.

**Why is my About text truncated?**\
LinkedIn often shows a shortened About section to non-logged-in visitors. The full text visible when you are signed in may not appear in the output.

**Why are skills or recommendations empty?**\
Those sections are only included when LinkedIn publishes them on the public profile page. Many profiles hide some sections from guest viewers.

**Can I scrape company pages or job listings?**\
This Actor is built for **person profiles** (`linkedin.com/in/...`). Company and job pages are not supported.

**Why does the same person look different from my browser?**\
If you are signed in to LinkedIn, you may see more data than a public guest visitor. This Actor matches the guest view.

**Will failed profiles be charged?**\
Billing depends on the Actor's pricing model on the Apify Store — see the **Pricing** tab on the listing. Failed profiles are still saved to the dataset with `success: false` so you can audit results.

**Can I run hundreds of profiles at once?**\
Yes on paid plans. Profiles are processed in parallel; results appear in the dataset as each one completes.

***

### Support

For Actor-specific issues, use the **Issues** tab on the Apify Store listing or contact the publisher through Apify.

For platform questions (runs, billing, API, schedules), see [Apify documentation](https://docs.apify.com) and Apify support.

# Actor input Schema

## `profiles` (type: `array`):

Enter profile URLs or public usernames, one per line. Supported formats include full profile links (for example, https://www.linkedin.com/in/satyanadella), regional links (for example, https://pk.linkedin.com/in/username), and plain usernames (for example, satyanadella).

## Actor input object example

```json
{
  "profiles": [
    "satyanadella",
    "https://www.linkedin.com/in/williamhgates"
  ]
}
```

# Actor output Schema

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

No description

# 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 = {
    "profiles": [
        "satyanadella",
        "https://www.linkedin.com/in/williamhgates"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("calm_builder/linkedin-profile-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "profiles": [
        "satyanadella",
        "https://www.linkedin.com/in/williamhgates",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("calm_builder/linkedin-profile-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "profiles": [
    "satyanadella",
    "https://www.linkedin.com/in/williamhgates"
  ]
}' |
apify call calm_builder/linkedin-profile-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "LinkedIn Profile Scraper",
        "description": "Extract structured data from public LinkedIn profiles using URLs or usernames — no LinkedIn login required. Export names, headlines, locations, experience, education, skills, posts, articles, and recommendations as clean JSON. Only successfully retrieved profiles are saved to your dataset.",
        "version": "0.0",
        "x-build-id": "Jhr06IAvhGaWNtDqt"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/calm_builder~linkedin-profile-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-calm_builder-linkedin-profile-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/calm_builder~linkedin-profile-scraper/runs": {
            "post": {
                "operationId": "runs-sync-calm_builder-linkedin-profile-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/calm_builder~linkedin-profile-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-calm_builder-linkedin-profile-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "profiles"
                ],
                "properties": {
                    "profiles": {
                        "title": "LinkedIn profiles",
                        "minItems": 1,
                        "type": "array",
                        "description": "Enter profile URLs or public usernames, one per line. Supported formats include full profile links (for example, https://www.linkedin.com/in/satyanadella), regional links (for example, https://pk.linkedin.com/in/username), and plain usernames (for example, satyanadella).",
                        "items": {
                            "type": "string",
                            "minLength": 1
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```