# Apna.co Jobs Scraper (`logiover/apna-co-jobs-scraper`) Actor

Scrape job listings from Apna.co — India's largest blue & grey collar job platform with 70M+ users and 500K+ active listings. Extracts salary, experience, location, company, employment type, WFH flag and full job descriptions.

- **URL**: https://apify.com/logiover/apna-co-jobs-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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.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

## Apna.co Jobs Scraper

Extract structured job listings from **[Apna.co](https://apna.co)** — India's largest blue & grey collar job platform with 70M+ registered users, 500K+ active listings and presence across 400+ Indian cities.

[![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue)](https://apify.com)
[![Built with Crawlee](https://img.shields.io/badge/Built%20with-Crawlee-orange)](https://crawlee.dev)
[![No Browser](https://img.shields.io/badge/Engine-CheerioCrawler-green)]()

---

### Why Apna.co

Apna.co dominates the Indian blue and grey collar market — sales executives, delivery agents, customer support reps, accountants, IT freshers, admin staff and everything in between. Unlike Naukri or LinkedIn, Apna focuses on:

- **Fresher & entry-level roles** across all sectors
- **Tier 2 & Tier 3 cities** with deep coverage beyond metros
- **SMB and startup hiring** at scale
- **Mobile-first job seekers** — 70M+ app downloads

This makes it ideal for salary benchmarking at the entry/mid level, workforce market research, and aggregating job data that other portals miss.

---

### How It Works

Apna.co is built on **Next.js with full SSR**. Every page embeds all job data as `__NEXT_DATA__` JSON in the HTML. This means the actor uses **CheerioCrawler** — pure HTTP requests with no browser — making it extremely fast and cheap.

**Flow:**
1. Build search URLs from keyword × city combinations
2. Fetch each listing page via HTTP
3. Parse `__NEXT_DATA__` JSON → extract job objects
4. Paginate via `?page=N` until `maxPages` or `maxJobs`
5. Optionally fetch detail pages for full description + external apply URL

---

### Supported Search Patterns

| Pattern | Example URL |
|---|---|
| Keyword search | `/jobs/python-developer-jobs` |
| Keyword + city | `/jobs/software-engineer-jobs-in-bangalore` |
| WFH keyword | `/jobs/work_from_home-data-analyst-jobs` |
| Part-time | `/jobs/part_time-customer-support-jobs` |
| Freshers | `/jobs/freshers-sales-executive-jobs` |
| Department | `/jobs/dep_it_software_engineering-jobs` |
| City all jobs | `/jobs/jobs-in-mumbai` |

---

### Input

```json
{
  "keywords": ["python-developer", "data-analyst", "software-engineer"],
  "cities": ["bangalore", "mumbai", "hyderabad"],
  "workFromHome": false,
  "partTime": false,
  "freshers": false,
  "maxJobs": 500,
  "maxPages": 10,
  "scrapeDetails": false,
  "requestDelay": 300,
  "maxConcurrency": 5
}
````

#### Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `keywords` | array | `[]` | Job role slugs. Use hyphens: `python-developer`, `sales-executive` |
| `cities` | array | `[]` | City slugs. Empty = all India |
| `departments` | array | `[]` | Department slugs: `dep_sales_bd`, `dep_it_software_engineering` |
| `workFromHome` | boolean | `false` | WFH/remote listings only |
| `partTime` | boolean | `false` | Part-time listings only |
| `freshers` | boolean | `false` | Fresher-friendly listings |
| `maxJobs` | integer | `200` | Total jobs cap (0 = unlimited) |
| `maxPages` | integer | `10` | Pages per search (0 = unlimited) |
| `scrapeDetails` | boolean | `false` | Fetch detail pages for full description |
| `requestDelay` | integer (ms) | `300` | Delay between requests |
| `maxConcurrency` | integer | `5` | Parallel requests |

#### Common Keywords

`python-developer`, `java-developer`, `react-developer`, `data-analyst`, `data-scientist`, `sales-executive`, `business-development-executive`, `customer-support-executive`, `delivery-executive`, `accountant`, `hr-executive`, `operations-executive`, `digital-marketing-executive`, `content-writer`, `graphic-designer`, `telecaller`

#### Department Slugs

| Slug | Department |
|---|---|
| `dep_it_software_engineering` | IT & Software Engineering |
| `dep_sales_bd` | Sales & Business Development |
| `dep_customer_support` | Customer Support |
| `dep_admin_back_office_computer_operator` | Admin & Back Office |
| `dep_delivery_driver_logistics` | Delivery & Logistics |
| `dep_marketing_brand_digital_marketing` | Marketing & Digital |
| `dep_finance_accounting` | Finance & Accounting |
| `dep_restaurant_hospitality_tourism` | Hospitality & Tourism |
| `dep_teaching_training_education` | Education & Training |
| `dep_healthcare_pharma_doctor_nurse` | Healthcare & Pharma |

***

### Output

Example record:

```json
{
  "jobId": "1265759031",
  "url": "https://apna.co/job/bengaluru/python-developer-1265759031",
  "title": "Python Developer",
  "company": "MRI Software India",
  "companyId": "1539114",
  "companyLogoUrl": "https://apna-organization-logos.gumlet.io/...",
  "location": "Bengaluru/Bangalore",
  "city": "Bengaluru/Bangalore",
  "isWfh": false,
  "salaryMin": null,
  "salaryMax": null,
  "salaryRaw": null,
  "salaryType": 3,
  "experienceMin": 4,
  "experienceMax": 6,
  "experienceRaw": "4 - 6 Yrs",
  "employmentType": "Full Time",
  "department": "Software Engineering",
  "category": "Software Project Management",
  "isExternalJob": true,
  "externalJobUrl": "https://mrisoftware.wd501.myworkdayjobs.com/...",
  "description": null,
  "uiTags": ["Work from Office", "Full Time", "Min. 4 years"],
  "createdOn": "2026-04-08",
  "searchKeyword": "python-developer",
  "scrapedAt": "2026-04-15T10:00:00.000Z"
}
```

#### Key Fields

| Field | Description |
|---|---|
| `jobId` | Unique Apna.co numeric job ID |
| `url` | Detail page URL |
| `title` | Job title |
| `company` | Hiring company |
| `location` | City/area |
| `isWfh` | Remote/WFH flag |
| `salaryMin`/`salaryMax` | In ₹/month (null if not disclosed) |
| `salaryType` | 1=monthly, 2=annual, 3=not disclosed |
| `experienceMin`/`experienceMax` | Years of experience required |
| `employmentType` | Full Time / Part Time / Contract |
| `department` | Job function/department |
| `category` | Specific role category |
| `isExternalJob` | Applies via external ATS |
| `externalJobUrl` | Direct ATS application link |
| `uiTags` | Badge labels shown in UI |
| `description` | HTML description (only with `scrapeDetails: true`) |

***

### Cost & Performance

| Mode | Cost | Speed |
|---|---|---|
| `scrapeDetails: false` | ~0.005 CU / 100 jobs | ~200 jobs/min |
| `scrapeDetails: true` | ~0.05 CU / 100 jobs | ~30 jobs/min |

CheerioCrawler — no browser overhead. SSR HTML parsed directly.

***

### Use Cases

- **Salary benchmarking** at entry/mid level across Indian cities
- **Talent availability mapping** — which cities have deepest supply for a role
- **Blue collar market research** — delivery, retail, hospitality, sales
- **Fresher hiring intelligence** — track demand for entry-level roles
- **SMB hiring trends** — Apna's employer base skews smaller companies
- **HR tech data pipelines** — integrate into ATS or workforce analytics

***

### Notes

- Salary is in **₹/month** (Indian Rupees per month) when `salaryType=1`
- `salaryType=3` means salary is not disclosed by employer
- `isExternalJob=true` means the job was posted from an ATS; `externalJobUrl` contains the direct apply link
- Pagination uses `?page=N` (1-indexed)

***

### Changelog

| Version | Date | Notes |
|---|---|---|
| 1.0.0 | 2026-04-15 | Initial release — CheerioCrawler, SSR **NEXT\_DATA** parsing, keyword/city/dept/WFH/part-time filters |

# Actor input Schema

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

Job title slugs to search. Use underscore or spaces — both work. Examples: 'python\_developer', 'sales executive', 'data\_analyst', 'software\_engineer', 'delivery\_executive'. Maps to URL: /jobs/title\_{slug}-jobs

## `cities` (type: `array`):

City slugs. Use underscore format. Examples: 'delhi\_ncr', 'mumbai', 'bangalore', 'hyderabad', 'pune', 'chennai', 'kolkata', 'noida', 'gurgaon', 'ahmedabad'. Maps to URL: /jobs/title\_{kw}-jobs-in-{city}. Leave empty for all India.

## `departments` (type: `array`):

Department slug filters. Use the full dep\_ prefix. Examples: 'dep\_it\_software\_engineering', 'dep\_sales\_bd', 'dep\_customer\_support', 'dep\_delivery\_driver\_logistics', 'dep\_finance\_accounting', 'dep\_admin\_back\_office\_computer\_operator'. Maps to /jobs/{dept}-jobs.

## `workFromHome` (type: `boolean`):

Only WFH/remote jobs. Maps to /jobs/work\_from\_home-{keyword}-jobs.

## `partTime` (type: `boolean`):

Only part-time listings. Maps to /jobs/part\_time-{keyword}-jobs.

## `freshers` (type: `boolean`):

Only fresher-friendly listings.

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

Maximum total jobs to scrape. Set 0 for unlimited.

## `maxPages` (type: `integer`):

Max pages per keyword/city combination. Apna shows 14 jobs per page.

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

Open each job detail page for full description. Most fields are already available from listing pages.

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

Optional proxy. Apna uses SSR HTML — standard HTTP works without proxies.

## `requestDelay` (type: `integer`):

Delay between requests in milliseconds.

## `maxConcurrency` (type: `integer`):

Parallel requests.

## Actor input object example

```json
{
  "keywords": [
    "python_developer",
    "software_engineer"
  ],
  "cities": [],
  "departments": [],
  "workFromHome": false,
  "partTime": false,
  "freshers": false,
  "maxJobs": 200,
  "maxPages": 10,
  "scrapeDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "requestDelay": 300,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `jobId` (type: `string`):

Unique Apna.co job ID

## `url` (type: `string`):

Job detail page URL

## `title` (type: `string`):

Job title

## `company` (type: `string`):

Hiring company name

## `companyId` (type: `string`):

Apna company/org ID

## `companyLogoUrl` (type: `string`):

Company logo URL

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

Job location (city/area)

## `city` (type: `string`):

Normalized city name

## `isWfh` (type: `string`):

true if work from home

## `salaryMin` (type: `string`):

Min salary per month in INR (0 if hidden)

## `salaryMax` (type: `string`):

Max salary per month in INR (0 if hidden)

## `salaryRaw` (type: `string`):

Salary as displayed

## `salaryType` (type: `string`):

1=monthly, 2=annual, 3=not disclosed

## `experienceMin` (type: `string`):

Minimum experience required (years)

## `experienceMax` (type: `string`):

Maximum experience required (years)

## `experienceRaw` (type: `string`):

Experience requirement as displayed

## `employmentType` (type: `string`):

Full Time / Part Time / Contract

## `department` (type: `string`):

Job department/function

## `category` (type: `string`):

Job role category

## `isExternalJob` (type: `string`):

true if redirects to external ATS

## `externalJobUrl` (type: `string`):

Direct external application URL (ATS link)

## `description` (type: `string`):

Full job description (HTML)

## `uiTags` (type: `string`):

UI tags (WFH, Full Time, experience badge)

## `createdOn` (type: `string`):

Job posting date

## `searchKeyword` (type: `string`):

Keyword used to find this job

## `scrapedAt` (type: `string`):

ISO timestamp when scraped

# 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": [
        "python_developer",
        "software_engineer"
    ],
    "cities": [],
    "departments": [],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("logiover/apna-co-jobs-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 = {
    "keywords": [
        "python_developer",
        "software_engineer",
    ],
    "cities": [],
    "departments": [],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/apna-co-jobs-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 '{
  "keywords": [
    "python_developer",
    "software_engineer"
  ],
  "cities": [],
  "departments": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call logiover/apna-co-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Apna.co Jobs Scraper",
        "description": "Scrape job listings from Apna.co — India's largest blue & grey collar job platform with 70M+ users and 500K+ active listings. Extracts salary, experience, location, company, employment type, WFH flag and full job descriptions.",
        "version": "0.0",
        "x-build-id": "Yv5LsI3k3zGW0o5sq"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/logiover~apna-co-jobs-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-logiover-apna-co-jobs-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/logiover~apna-co-jobs-scraper/runs": {
            "post": {
                "operationId": "runs-sync-logiover-apna-co-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/logiover~apna-co-jobs-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-logiover-apna-co-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "keywords": {
                        "title": "Job Title Keywords",
                        "type": "array",
                        "description": "Job title slugs to search. Use underscore or spaces — both work. Examples: 'python_developer', 'sales executive', 'data_analyst', 'software_engineer', 'delivery_executive'. Maps to URL: /jobs/title_{slug}-jobs",
                        "items": {
                            "type": "string"
                        }
                    },
                    "cities": {
                        "title": "Cities (optional)",
                        "type": "array",
                        "description": "City slugs. Use underscore format. Examples: 'delhi_ncr', 'mumbai', 'bangalore', 'hyderabad', 'pune', 'chennai', 'kolkata', 'noida', 'gurgaon', 'ahmedabad'. Maps to URL: /jobs/title_{kw}-jobs-in-{city}. Leave empty for all India.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "departments": {
                        "title": "Departments (optional)",
                        "type": "array",
                        "description": "Department slug filters. Use the full dep_ prefix. Examples: 'dep_it_software_engineering', 'dep_sales_bd', 'dep_customer_support', 'dep_delivery_driver_logistics', 'dep_finance_accounting', 'dep_admin_back_office_computer_operator'. Maps to /jobs/{dept}-jobs.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "workFromHome": {
                        "title": "Work From Home Only",
                        "type": "boolean",
                        "description": "Only WFH/remote jobs. Maps to /jobs/work_from_home-{keyword}-jobs.",
                        "default": false
                    },
                    "partTime": {
                        "title": "Part-Time Only",
                        "type": "boolean",
                        "description": "Only part-time listings. Maps to /jobs/part_time-{keyword}-jobs.",
                        "default": false
                    },
                    "freshers": {
                        "title": "Freshers / Entry Level Only",
                        "type": "boolean",
                        "description": "Only fresher-friendly listings.",
                        "default": false
                    },
                    "maxJobs": {
                        "title": "Max Jobs",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum total jobs to scrape. Set 0 for unlimited.",
                        "default": 200
                    },
                    "maxPages": {
                        "title": "Max Pages per Search",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Max pages per keyword/city combination. Apna shows 14 jobs per page.",
                        "default": 10
                    },
                    "scrapeDetails": {
                        "title": "Scrape Detail Pages",
                        "type": "boolean",
                        "description": "Open each job detail page for full description. Most fields are already available from listing pages.",
                        "default": false
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Optional proxy. Apna uses SSR HTML — standard HTTP works without proxies."
                    },
                    "requestDelay": {
                        "title": "Request Delay (ms)",
                        "minimum": 0,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Delay between requests in milliseconds.",
                        "default": 300
                    },
                    "maxConcurrency": {
                        "title": "Max Concurrency",
                        "minimum": 1,
                        "maximum": 10,
                        "type": "integer",
                        "description": "Parallel requests.",
                        "default": 5
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```