# The Naukri Navigator: Charting Your Career Journey (`jupri/naukri`) Actor

💫 Scrape Naukri.com Jobs

- **URL**: https://apify.com/jupri/naukri.md
- **Developed by:** [cat](https://apify.com/jupri) (community)
- **Categories:** Jobs
- **Stats:** 391 total users, 13 monthly users, 23.0% runs succeeded, 4 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 results

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

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.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

## 💫 Welcome To Naukri Scraper

<img height="32" src="https://apify.com/actor-badge?actor=ipByuyUPwtNx8o4jh">

![dont be sad readme is here](https://raw.githubusercontent.com/JupriGH/resources/main/cats/catframe.png)


### 🍂 About Naukri.com

<img height="128" src="https://static.naukimg.com/s/0/0/i/naukri-identity/naukri_gnb_logo.svg">

**Naukri.com** is an Indian [employment website](https://en.wikipedia.org/wiki/Employment_website "Employment website") operating in [India](https://en.wikipedia.org/wiki/India "India") and the [Middle East](https://en.wikipedia.org/wiki/Middle_East "Middle East"). It was founded in March 1990 by Indian businessmen [Sanjeev Bikh Chandani and Christopher Monteiro](https://en.wikipedia.org/w/index.php?title=Sanjeev_Bikh_chandani_and_Christopher_Monteiro&action=edit&redlink=1 "Sanjeev Bikh chandani and Christopher Monteiro (page does not exist)") .[[1]](https://en.wikipedia.org/wiki/Naukri.com#cite_note-1) Naukri.com is the largest [employment website](https://en.wikipedia.org/wiki/Employment_website "Employment website") in India.[[2]](https://en.wikipedia.org/wiki/Naukri.com#cite_note-NicolopoulouKarata--Ozkan2011-2)[[3]](https://en.wikipedia.org/wiki/Naukri.com#cite_note-SchroeversBlokpoel2014-3)

### 🍂 Output Samples

```yaml
{
    "applyCount": 31,
    "applyRedirectUrl": "https://cat.wd5.myworkdayjobs.com/en-US/CaterpillarCareers/job/Bangalore-Karnataka/Software-Engineer--AI-Build---Support-Team---Python-Developer-_R0000274924",
    "banner": "https://img.naukimg.com/logo_images/groups/v1/4585477.gif",
    "benefits": {
      "BenefitsUrl": "https://www.ambitionbox.com/benefits/caterpillar-inc-benefits?utm_source=naukri&utm_campaign=jd_benefits",
      "List": [
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/JobTraining.jpg", "BenefitName": "Job Training", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/SoftSkillsTraining.jpg", "BenefitName": "Soft Skill Training", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/HealthCare.jpg", "BenefitName": "Health Insurance", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/Transportation.jpg", "BenefitName": "Transport", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/WFH.jpg", "BenefitName": "Work From Home", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/FreeFood.jpg", "BenefitName": "Free Food", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/Cafeteria.jpg", "BenefitName": "Cafeteria", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/TeamOuting.jpg", "BenefitName": "Team Outings", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/Education.jpg", "BenefitName": "Education Assistance", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/InterTravel.jpg", "BenefitName": "International Relocation", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/ChildCare.jpg", "BenefitName": "Child Care", "Status": "true" },
        { "BenefitImage": "https://static.ambitionbox.com/img/emailers/Gym.jpg", "BenefitName": "Gym", "Status": "true" }
      ],
      "Users": 348
    },
    "board": "1",
    "clientLogo": "https://img.naukimg.com/logo_images/groups/v1/4585477.gif",
    "companyApplyUrl": "https://apply.naukri.com/apply/saveCompanyApply?id=&file=190924500863&logstr=jdrestapi",
    "companyDetail": {
      "details": "For 90 years, Caterpillar Inc. has been making sustainable progress possible and driving positive change on every continent. Customers turn to Caterpillar to help them develop infrastructure, energy and natural resource assets. With 2015 sales and revenues of $47.011 billion, Caterpillar is the worlds leading manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. The company principally operates through its three product segments - Construction Industries, Resource Industries and Energy & Transportation - and also provides financing and related services through its Financial Products segment.",
      "name": "Caterpillar Inc"
    },
    "companyId": 1674002,
    "companyInfo": {
      "AggregateRating": "4.2",
      "ReviewsCount": "1085",
      "Title": "Caterpillar Inc Reviews by Employees",
      "Url": "https://www.ambitionbox.com/reviews/caterpillar-inc-reviews?utm_campaign=jd_ratings&utm_source=naukri"
    },
    "companyPageUrl": "caterpillar-inc-overview-4585477",
    "createdDate": "2024-09-19 15:15:24",
    "description": "<p> <b>Career Area:</b> </p>Business Technologies, Digital and Data<p> </p> <p> <b>Job Description:</b> </p> <p> <b> <span>Your Work Shapes the World at Caterpillar Inc. </span> </b> </p> <p> </p> <p>When you join Caterpillar, youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.</p> <p> </p> <p> <b>Your Impact Shapes the World at Caterpillar Inc</b> </p> <p>When you join Caterpillar, youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.</p> <p> <b>Job Summary</b> </p> <p>We are seeking a skilled <b>Software Engineer (AI Build & Support Team - Python Developer)</b> to join Applications Development and Support -CAT IT Team.</p> <p>As a Software Development Lead, you will be responsible for developing and configuring software systems using Python. Your typical day will involve applying your knowledge of technologies, methodologies, and processes to support a client or project in Bengaluru.</p> <p>The preference for this role is to be based out of <b>Bangalore, Whitefield office & Chennai - Brigade World Trade Center</b> </p> <p> <b> What you will do</b> </p> <ul> <li>Lead the development and configuration of software systems using Python, applying your knowledge of technologies, methodologies, and processes to support a client or project.</li> <li>Collaborate with cross-functional teams to design, develop, and implement software solutions that meet client or project requirements.</li> <li>Provide technical leadership and mentorship to junior team members, ensuring adherence to best practices and standards.</li> <li>Conduct code reviews and ensure code quality, performance, and scalability of software systems.</li> <li>Stay updated with the latest advancements in software development, integrating innovative approaches for sustained competitive advantage.</li> </ul> <p> <b>What you will have </b> </p> <ul> <li>Must Have Skills: Proficiency in Python.</li> <li>5-6years of relevant experience with Python with an overall 10 years of Experience.</li> <li>A full time bachelors degree is must.</li> <li>Good To Have Skills: Experience with Django, Flask, or other Python web frameworks.</li> <li>Strong understanding of software development methodologies, processes, and tools.</li> <li>Experience with database technologies such as SQL, NoSQL, and ORM frameworks.</li> <li>Experience with version control systems such as Git or SVN.</li> <li>Solid grasp of software testing methodologies, including unit testing, integration testing, and automated testing frameworks.</li> <li>The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful software solutions.</li> </ul> <p> <b>Additional Information: </b> </p> <p>Shift Time: 01:00-10:00PM IST</p> <p> <b>Skills desired:</b> </p> <p> <b>Decision Making and Critical Thinking:</b> Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.<br />Level Working Knowledge:<br /> Applies an assigned technique for critical thinking in a decision-making process.<br /> Identifies, obtains, and organizes relevant data and ideas.<br /> Participates in documenting data, ideas, players, stakeholders, and processes.<br /> Recognizes, clarifies, and prioritizes concerns.<br /> Assists in assessing risks, benefits and consideration of alternatives.<br /> <br /> <b>Effective Communications:</b> Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.<br />Level Working Knowledge:<br /> Delivers helpful feedback that focuses on behaviors without offending the recipient.<br /> Listens to feedback without defensiveness and uses it for own communication effectiveness.<br /> Makes oral presentations and writes reports needed for own work.<br /> Avoids technical jargon when inappropriate.<br /> Looks for and considers non-verbal cues from individuals and groups.<br /> <br /> <b>Software Development:</b> Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.<br />Level Extensive Experience:<br /> Conducts walkthroughs and monitors effectiveness and quality of the development activities.<br /> Elaborates on multiple-development toolkits for traditional and web-based software.<br /> Has participated in development of multiple or large software products.<br /> Contrasts advantages and drawbacks of different development languages and tools.<br /> Estimates and monitors development costs based on functional and technical requirements.<br /> Provides consulting on both selection and utilization of developers workbench tools.</p> <p> <b>What you will get:</b> </p> <ul> <li>Work Life Harmony</li> <li>Earned and medical leave.</li> <li>Flexible work arrangements</li> <li>Relocation assistance</li> </ul> <p> <b>Holistic Development</b> </p> <ul> <li>Personal and professional development through Caterpillar s employee resource groups across the globe</li> <li>Career developments opportunities with global prospects</li> </ul> <p> <b>Health and Wellness</b> </p> <ul> <li>Medical coverage -Medical, life and personal accident coverage</li> <li>Employee mental wellness assistance program</li> </ul> <p> <b> Financial Wellness</b> </p> <ul> <li>Employee investment plan</li> <li>Pay for performance -Annual incentive Bonus plan.</li> </ul> <p> <b> Additional Information</b>:</p> <p>Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers <br /> <br />Caterpillar is an Equal Opportunity Employer (EEO)<br /> <br />EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> <b>Posting Dates:</b> </p>September 18, 2024 - October 1, 2024<p> </p> <p>Caterpillar is an Equal Opportunity Employer (EEO).</p> <p> </p> <p>Not ready to applyJoin our Talent Community .</p> <p> </p>",
    "education": {
      "pg": [
        "Any Postgraduate in Any Specialization"
      ],
      "ug": [
        "Any Graduate in Any Specialization"
      ]
    },
    "employmentType": "Full Time, Permanent",
    "functionalArea": "Other",
    "groupId": 4585477,
    "industry": "Industrial Products, Heavy Machinery",
    "isTopGroup": 1,
    "jobId": "190924500863",
    "jobRole": "Other",
    "jobType": "fulltime",
    "keySkills": {
      "other": [
        { "clickable": "version control", "label": "Version control" },
        { "clickable": "git", "label": "GIT" },
        { "clickable": "nosql", "label": "NoSQL" },
        { "clickable": "django", "label": "Django" },
        { "clickable": "consultant", "label": "Consulting" },
        { "clickable": "integration testing", "label": "Integration testing" },
        { "clickable": "unit testing", "label": "Unit testing" },
        { "clickable": "sql", "label": "SQL" },
        { "clickable": "python", "label": "Python" }
      ]
    },
    "locations": [
      {
        "label": "Chennai",
        "url": "https://www.naukri.com/jobs-in-chennai"
      },
      {
        "label": "Bengaluru",
        "url": "https://www.naukri.com/jobs-in-bangalore"
      }
    ],
    "maximumExperience": 6,
    "minimumExperience": 5,
    "mode": "crawled",
    "referenceCode": "R0000274924",
    "reviews": [
      {
        "DisLikesText": "Management",
        "LikesText": "Good environment\nGood salary\ndecent hikes",
        "Name": "Anonymous",
        "OverallCompanyRating": "5",
        "PublishedOn": "21 Oct 2023",
        "ReviewLink": "https://www.ambitionbox.com/reviews/caterpillar-inc-reviews?rid=51496458&utm_source=naukri&utm_campaign=jd_reviews",
        "Title": "Software Engineer in Chennai"
      },
      {
        "DisLikesText": "Poor appraisal",
        "LikesText": "Good work life balance",
        "Name": "Anonymous",
        "OverallCompanyRating": "5",
        "PublishedOn": "21 May 2023",
        "ReviewLink": "https://www.ambitionbox.com/reviews/caterpillar-inc-reviews?rid=43383220&utm_source=naukri&utm_campaign=jd_reviews",
        "Title": "Software Engineer in Chennai"
      },
      {
        "DisLikesText": "Nothing specific",
        "LikesText": "Work life balance and company culture then obviously the brand",
        "Name": "Anonymous",
        "OverallCompanyRating": "5",
        "PublishedOn": "22 Aug 2022",
        "ReviewLink": "https://www.ambitionbox.com/reviews/caterpillar-inc-reviews?rid=34962069&utm_source=naukri&utm_campaign=jd_reviews",
        "Title": "Software Engineer in Chennai, Tamil Nadu"
      }
    ],
    "roleCategory": "Other",
    "salaries": {
      "AverageCtc": "15",
      "JobProfileName": "Software Engineer",
      "MaxCtc": "26.5",
      "MinCtc": "7",
      "SalariesUrl": "https://www.ambitionbox.com/salaries/caterpillar-inc-salaries/software-engineer?utm_source=naukri&utm_campaign=jd_salaries"
    },
    "salaryDetail": {
      "currency": "INR",
      "hideSalary": true,
      "label": "7-11 Lacs",
      "maximumSalary": 1100000,
      "minimumSalary": 700000
    },
    "shortDescription": "Must Have Skills: Proficiency in Python. . 5-6years of relevant experience with Python with an overall 10 years of Experience. . A full time bachelors degree is must. . Good To Have Skills: Experience with Django,Flask,or other Python web frameworks. . Strong understanding of software development methodologies,processes,and tools. |Shift Time: 01:00-10:00PM IST.",
    "staticCompanyName": "caterpillar-jobs-careers-1534",
    "staticUrl": "https://www.naukri.com/job-listings-software-engineer-ai-build-support-team-python-developer-caterpillar-india-private-ltd-chennai-bengaluru-5-to-6-years-190924500863",
    "title": "Software Engineer (AI Build & Support Team - Python Developer)",
    "vacancy": 1,
    "viewCount": 215,
    "wfhType": "0"
}
````

### 🍂 Support

Feel free to [reach out](https://console.apify.com/actors/ipByuyUPwtNx8o4jh/issues) to the developer for any issues or suggestions for improvement.

<img src="https://apify-uploads-prod.s3.us-east-1.amazonaws.com/5SxZhwYwpknFk8ek9-cat.gif" width="240">

# Actor input Schema

## `query` (type: `string`):

💡 Search Terms or URL

## `filters.sort` (type: `string`):

No description

## `limit` (type: `integer`):

💡 Number of results

## `filters.job_age` (type: `integer`):

💡 Job Age

## `filters.location` (type: `array`):

💡 Job Locations

## `filters.duration` (type: `array`):

💡 Internship Duration

## `filters.role` (type: `array`):

No description

## `filters.experience` (type: `integer`):

💡 Year Experience

## `filters.salary` (type: `array`):

No description

## `filters.stipend` (type: `array`):

No description

## `filters.function` (type: `array`):

No description

## `filters.industry` (type: `array`):

No description

## `dev_custom_headers` (type: `array`):

💡 Additional HTTP Headers

## `dev_custom_cookies` (type: `array`):

💡 Additional HTTP Cookies

## `dev_transform_fields` (type: `array`):

💡 <b>Transform the resulting output. Select only needed fields.</b><br><br>For nested object use <b>DOT</b>. For example: <pre>address.streetAddress</pre><br>For nested array use <b>NUMBER</b> <i>(index of array element starting from index=0)</i>. For example: <pre>images.0.url</pre>

## `dev_dataset_name` (type: `string`):

💡 <b>Save results into custom named Dataset, use mask to customize dataset name</b><br><br><code>{ACTOR} = actor name<br>{DATE} = date (YYYYMMDD)<br>{TIME} = time (HHMMSS)</code><br><br>This masks can be used to autogenerate Dataset Name.<br><br>example: <i><code>data-{DATE}</code></i><br>Depending on today date the dataset name will be: <code>data-20230603</code><i><br><br>default: <code>data-{ACTOR}-{DATE}-{TIME}</code></i>

## `dev_dataset_clear` (type: `boolean`):

Clear Dataset before insert/update.

## `dev_no_strip` (type: `boolean`):

💡 Keep/Save empty values <i><code>(NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)</code></i>

## Actor input object example

```json
{
  "query": "python",
  "limit": 5
}
```

# 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 = {
    "query": "python",
    "limit": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("jupri/naukri").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 = {
    "query": "python",
    "limit": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("jupri/naukri").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 '{
  "query": "python",
  "limit": 5
}' |
apify call jupri/naukri --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "The Naukri Navigator: Charting Your Career Journey",
        "description": "💫 Scrape Naukri.com Jobs",
        "version": "0.0",
        "x-build-id": "1Mdly2Dr4NGvkZUNC"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/jupri~naukri/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-jupri-naukri",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/jupri~naukri/runs": {
            "post": {
                "operationId": "runs-sync-jupri-naukri",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/jupri~naukri/run-sync": {
            "post": {
                "operationId": "run-sync-jupri-naukri",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "query": {
                        "title": "❓ Query",
                        "type": "string",
                        "description": "💡 Search Terms or URL"
                    },
                    "filters.sort": {
                        "title": "🔀 Sorting",
                        "enum": [
                            "recommended",
                            "relevance",
                            "date"
                        ],
                        "type": "string",
                        "description": ""
                    },
                    "limit": {
                        "title": "♾️ Limit",
                        "type": "integer",
                        "description": "💡 Number of results"
                    },
                    "filters.job_age": {
                        "title": "⏰ Freshness",
                        "type": "integer",
                        "description": "💡 Job Age"
                    },
                    "filters.location": {
                        "title": "🧭 Location",
                        "type": "array",
                        "description": "💡 Job Locations",
                        "items": {
                            "type": "string"
                        }
                    },
                    "filters.duration": {
                        "title": "⌛ Duration",
                        "type": "array",
                        "description": "💡 Internship Duration",
                        "items": {
                            "type": "string",
                            "enum": [
                                "1",
                                "2",
                                "3",
                                "4",
                                "5",
                                "6",
                                "-1"
                            ],
                            "enumTitles": [
                                "1 Month",
                                "2 Months",
                                "3 Months",
                                "4 Months",
                                "5 Months",
                                "6 Months",
                                "Flexible"
                            ]
                        }
                    },
                    "filters.role": {
                        "title": "🧰 Role category",
                        "type": "array",
                        "description": "",
                        "items": {
                            "type": "string",
                            "enum": [
                                "1001",
                                "1002",
                                "1003",
                                "1004",
                                "1005",
                                "1006",
                                "1007",
                                "1008",
                                "1009",
                                "1010",
                                "1011",
                                "1012",
                                "1013",
                                "1014",
                                "1015",
                                "1016",
                                "1017",
                                "1018",
                                "1019",
                                "1020",
                                "1021",
                                "1022",
                                "1023",
                                "1024",
                                "1025",
                                "1026",
                                "1027",
                                "1028",
                                "1029",
                                "1030",
                                "1031",
                                "1032",
                                "1033",
                                "1034",
                                "1035",
                                "1036",
                                "1037",
                                "1038",
                                "1039",
                                "1040",
                                "1041",
                                "1042",
                                "1043",
                                "1044",
                                "1045",
                                "1046",
                                "1047",
                                "1048",
                                "1049",
                                "1050",
                                "1051",
                                "1052",
                                "1053",
                                "1054",
                                "1055",
                                "1056",
                                "1057",
                                "1058",
                                "1060",
                                "1061",
                                "1062",
                                "1063",
                                "1064",
                                "1065",
                                "1066",
                                "1067",
                                "1068",
                                "1069",
                                "1070",
                                "1071",
                                "1072",
                                "1073",
                                "1074",
                                "1075",
                                "1076",
                                "1077",
                                "1078",
                                "1079",
                                "1080",
                                "1081",
                                "1082",
                                "1083",
                                "1084",
                                "1085",
                                "1086",
                                "1087",
                                "1088",
                                "1089",
                                "1090",
                                "1091",
                                "1092",
                                "1093",
                                "1094",
                                "1095",
                                "1096",
                                "1097",
                                "1098",
                                "1099",
                                "1100",
                                "1101",
                                "1102",
                                "1103",
                                "1104",
                                "1105",
                                "1106",
                                "1107",
                                "1108",
                                "1109",
                                "1110",
                                "1111",
                                "1112",
                                "1113",
                                "1114",
                                "1115",
                                "1116",
                                "1117",
                                "1118",
                                "1119",
                                "1120",
                                "1121",
                                "1122",
                                "1123",
                                "1124",
                                "1125",
                                "1126",
                                "1127",
                                "1128",
                                "1129",
                                "1130",
                                "1131",
                                "1132",
                                "1133",
                                "1134",
                                "1135",
                                "1136",
                                "1137",
                                "1138",
                                "1139",
                                "1140",
                                "1142",
                                "1143",
                                "1144",
                                "1145",
                                "1146",
                                "1147",
                                "1148",
                                "1149",
                                "1150",
                                "1151",
                                "1152",
                                "1153",
                                "1154",
                                "1155",
                                "1156",
                                "1157",
                                "1158",
                                "1159",
                                "1160",
                                "1161",
                                "1162",
                                "1163",
                                "1164",
                                "1165",
                                "1166",
                                "1167"
                            ],
                            "enumTitles": [
                                "Banking Operations",
                                "General Insurance",
                                "Investment Banking, Private Equity & VC",
                                "Lending",
                                "Life Insurance",
                                "Trading, Asset & Wealth Management",
                                "Treasury & Forex",
                                "BFSI, Investments & Trading - Other",
                                "After Sales Service & Repair",
                                "Back Office",
                                "Customer Success",
                                "Non Voice",
                                "Operations",
                                "Operations Support",
                                "Service Delivery",
                                "Voice / Blended",
                                "Customer Success, Service & Operations - Other",
                                "Business Intelligence & Analytics",
                                "Data Science & Machine Learning",
                                "Data Science & Analytics - Other",
                                "Hardware",
                                "IT Network",
                                "Telecom",
                                "Hardware and Networks - Other",
                                "DBA / Data warehousing",
                                "DevOps",
                                "Quality Assurance and Testing",
                                "Software Development",
                                "Accounting & Taxation",
                                "Audit & Control",
                                "Finance",
                                "Payroll & Transactions",
                                "Treasury",
                                "Finance & Accounting - Other",
                                "Compensation & Benefits",
                                "Employee Relations",
                                "HR Business Advisory",
                                "HR Operations",
                                "Recruitment & Talent Acquisition",
                                "Recruitment Marketing & Branding",
                                "Human Resources - Other",
                                "IT Infrastructure Services",
                                "IT Security",
                                "IT Support",
                                "IT & Information Security - Other",
                                "Advertising & Creative",
                                "Corporate Communication",
                                "Digital Marketing",
                                "Market Research & Insights",
                                "Marketing",
                                "Marketing and Communication - Other",
                                "Product Management - Technology",
                                "Product Management - Other",
                                "Engineering",
                                "Management",
                                "Operations, Maintenance & Support",
                                "Production & Manufacturing - Other",
                                "Construction / Manufacturing",
                                "Technology / IT",
                                "Other Program / Project Management",
                                "Business Process Quality",
                                "Production & Manufacturing",
                                "Quality Assurance - Other",
                                "BD / Pre Sales",
                                "Enterprise & B2B Sales",
                                "Retail & B2C Sales",
                                "Sales Support & Operations",
                                "Architecture & Interior Design",
                                "Fashion & Accessories",
                                "UI / UX",
                                "Other Design",
                                "Administration",
                                "Facility Management",
                                "Airline Services",
                                "Aviation Engineering",
                                "Flight & Airport Operations",
                                "Pilot",
                                "Aviation & Aerospace - Other",
                                "Construction Engineering",
                                "Surveying",
                                "IT Consulting",
                                "Management Consulting",
                                "Other Consulting",
                                "Content Management (Print / Online / Electronic)",
                                "Editing (Print / Online / Electronic)",
                                "Journalism",
                                "Content, Editorial & Journalism - Other",
                                "CSR & Sustainability",
                                "Social & Public Service",
                                "Downstream",
                                "Midstream",
                                "Mining",
                                "Power Generation",
                                "Power Supply and Distribution",
                                "Upstream",
                                "Energy & Mining - Other",
                                "Community Health & Safety",
                                "Occupational Health & Safety",
                                "Environment Health and Safety - Other",
                                "Events & Banquet",
                                "F&B Service",
                                "Front Office & Guest Services",
                                "Housekeeping & Laundry",
                                "Kitchen / F&B Production",
                                "Tourism Services",
                                "Food, Beverage & Hospitality - Other",
                                "Doctor",
                                "Health Informatics",
                                "Imaging & Diagnostics",
                                "Nursing",
                                "Healthcare & Life Sciences - Other",
                                "Other Hospital Staff",
                                "Corporate Affairs",
                                "Crime / Arbitration",
                                "Legal Operations",
                                "Legal & Regulatory - Other",
                                "Animation / Effects",
                                "Artists",
                                "Direction",
                                "Editing",
                                "Make Up / Costume",
                                "Production",
                                "Sound / Light / Technical Support",
                                "Media Production & Entertainment - Other",
                                "Category Management & Operations",
                                "eCommerce Operations",
                                "Merchandising & Planning",
                                "Retail Store Operations",
                                "Merchandising, Retail & eCommerce - Other",
                                "Import & Export",
                                "Procurement & Purchase",
                                "SCM & Logistics",
                                "Stores & Material Management",
                                "Procurement & Supply Chain - Other",
                                "Engineering & Manufacturing",
                                "Pharmaceutical & Biotechnology",
                                "Research & Development - Other",
                                "Assessment / Advisory",
                                "Business",
                                "Operations / Strategy",
                                "Security / Fraud",
                                "Risk Management & Compliance - Other",
                                "Security Officer",
                                "Security Services - Other",
                                "Port & Maritime Operations",
                                "Shipping Deck",
                                "Shipping Engineering & Technical",
                                "Shipping & Maritime - Other",
                                "Beauty & Personal Care",
                                "Health & Fitness",
                                "Sports Science & Medicine",
                                "Sports Staff and Management",
                                "Sports, Fitness & Personal Care - Other",
                                "Strategic Management",
                                "Top Management",
                                "Strategic & Top Management - Other",
                                "Administration & Staff",
                                "Corporate Training",
                                "Language Teacher",
                                "Life Skills / ECA Teacher",
                                "Preschool & Primary Education",
                                "Subject / Specialization Teacher",
                                "University Level Educator",
                                "Teaching & Training - Other",
                                "Other"
                            ]
                        }
                    },
                    "filters.experience": {
                        "title": "🔰 Experience",
                        "type": "integer",
                        "description": "💡 Year Experience"
                    },
                    "filters.salary": {
                        "title": "💸 Salary",
                        "type": "array",
                        "description": "",
                        "items": {
                            "type": "string",
                            "enum": [
                                "0to3",
                                "3to6",
                                "6to10",
                                "10to15",
                                "15to25",
                                "25to50",
                                "50to75",
                                "75to100",
                                "100to500",
                                "501"
                            ],
                            "enumTitles": [
                                "0-3 Lakhs",
                                "3-6 Lakhs",
                                "6-10 Lakhs",
                                "10-15 Lakhs",
                                "15-25 Lakhs",
                                "25-50 Lakhs",
                                "50-75 Lakhs",
                                "75-100 Lakhs",
                                "1-5 Cr",
                                "5+ Cr"
                            ]
                        }
                    },
                    "filters.stipend": {
                        "title": "💸 Stipend",
                        "type": "array",
                        "description": "",
                        "items": {
                            "type": "string",
                            "enum": [
                                "unpaid",
                                "0To10",
                                "10To20",
                                "20To30",
                                "30To40",
                                "40To50",
                                "50To1"
                            ],
                            "enumTitles": [
                                "Unpaid",
                                "0-10k",
                                "10k-20k",
                                "20k-30k",
                                "30k-40k",
                                "40k-50k",
                                "50k and above"
                            ]
                        }
                    },
                    "filters.function": {
                        "title": "⛓️ Department",
                        "type": "array",
                        "description": "",
                        "items": {
                            "type": "string",
                            "enum": [
                                "1",
                                "2",
                                "3",
                                "4",
                                "5",
                                "6",
                                "7",
                                "8",
                                "9",
                                "10",
                                "11",
                                "12",
                                "13",
                                "14",
                                "15",
                                "16",
                                "17",
                                "18",
                                "19",
                                "20",
                                "21",
                                "22",
                                "23",
                                "24",
                                "25",
                                "26",
                                "27",
                                "28",
                                "29",
                                "30",
                                "31",
                                "32",
                                "33",
                                "34",
                                "35",
                                "36",
                                "37"
                            ],
                            "enumTitles": [
                                "BFSI, Investments & Trading",
                                "Customer Success, Service & Operations",
                                "Data Science & Analytics",
                                "Engineering - Hardware & Networks",
                                "Engineering - Software & QA",
                                "Finance & Accounting",
                                "Human Resources",
                                "IT & Information Security",
                                "Marketing & Communication",
                                "Product Management",
                                "Production, Manufacturing & Engineering",
                                "Project & Program Management",
                                "Quality Assurance",
                                "Sales & Business Development",
                                "UX, Design & Architecture",
                                "Administration & Facilities",
                                "Aviation & Aerospace",
                                "Construction & Site Engineering",
                                "Consulting",
                                "Content, Editorial & Journalism",
                                "CSR & Social Service",
                                "Energy & Mining",
                                "Environment Health & Safety",
                                "Food, Beverage & Hospitality",
                                "Healthcare & Life Sciences",
                                "Legal & Regulatory",
                                "Media Production & Entertainment",
                                "Merchandising, Retail & eCommerce",
                                "Procurement & Supply Chain",
                                "Research & Development",
                                "Risk Management & Compliance",
                                "Security Services",
                                "Shipping & Maritime",
                                "Sports, Fitness & Personal Care",
                                "Strategic & Top Management",
                                "Teaching & Training",
                                "Other"
                            ]
                        }
                    },
                    "filters.industry": {
                        "title": "⛓️ Industry",
                        "type": "array",
                        "description": "",
                        "items": {
                            "type": "string",
                            "enum": [
                                "101",
                                "102",
                                "103",
                                "104",
                                "105",
                                "107",
                                "108",
                                "11",
                                "109",
                                "110",
                                "111",
                                "112",
                                "113",
                                "114",
                                "115",
                                "116",
                                "117",
                                "119",
                                "120",
                                "121",
                                "122",
                                "123",
                                "124",
                                "125",
                                "126",
                                "127",
                                "128",
                                "129",
                                "130",
                                "131",
                                "132",
                                "133",
                                "134",
                                "135",
                                "136",
                                "137",
                                "138",
                                "139",
                                "140",
                                "141",
                                "142",
                                "143",
                                "144",
                                "145",
                                "146",
                                "147",
                                "148",
                                "149",
                                "150",
                                "151",
                                "152",
                                "153",
                                "154",
                                "155",
                                "156",
                                "157",
                                "158",
                                "159",
                                "160",
                                "161",
                                "162",
                                "163",
                                "164",
                                "165",
                                "166",
                                "167",
                                "168",
                                "169",
                                "170",
                                "171",
                                "172",
                                "173",
                                "174",
                                "175",
                                "176",
                                "177",
                                "178",
                                "179",
                                "180",
                                "181",
                                "182",
                                "183",
                                "184"
                            ],
                            "enumTitles": [
                                "BPM 📂 Analytics / KPO / Research",
                                "BPM 📂 BPO / Call Centre",
                                "Technology 📂 Electronic Components / Semiconductors",
                                "Technology 📂 Electronics Manufacturing",
                                "Technology 📂 Emerging Technologies",
                                "Technology 📂 Hardware & Networking",
                                "Technology 📂 Internet",
                                "IT Services",
                                "IT Services 📂 IT Services & Consulting",
                                "Technology 📂 Software Product",
                                "Media, Entertainment & Telecom 📂 Telecom / ISP",
                                "BFSI 📂 Banking",
                                "BFSI 📂 Financial Services",
                                "BFSI 📂 FinTech / Payments",
                                "BFSI 📂 Insurance",
                                "BFSI 📂 Investment Banking / Venture Capital / Private Equity",
                                "BFSI 📂 NBFC",
                                "Professional Services 📂 Accounting / Auditing",
                                "Professional Services 📂 Architecture / Interior Design",
                                "Professional Services 📂 Content Development / Language",
                                "Professional Services 📂 Design",
                                "Professional Services 📂 Facility Management Services",
                                "Professional Services 📂 Law Enforcement / Security Services",
                                "Professional Services 📂 Legal",
                                "Professional Services 📂 Management Consulting",
                                "Professional Services 📂 Recruitment / Staffing",
                                "Healthcare & Life Sciences 📂 Biotechnology",
                                "Healthcare & Life Sciences 📂 Clinical Research / Contract Research",
                                "Healthcare & Life Sciences 📂 Medical Devices & Equipment",
                                "Healthcare & Life Sciences 📂 Medical Services / Hospital",
                                "Healthcare & Life Sciences 📂 Pharmaceutical & Life Sciences",
                                "Education 📂 Education / Training",
                                "Education 📂 E-Learning / EdTech",
                                "Consumer, Retail & Hospitality 📂 Beauty & Personal Care",
                                "Consumer, Retail & Hospitality 📂 Beverage",
                                "Consumer, Retail & Hospitality 📂 Consumer Electronics & Appliances",
                                "Consumer, Retail & Hospitality 📂 Fitness & Wellness",
                                "Consumer, Retail & Hospitality 📂 FMCG",
                                "Consumer, Retail & Hospitality 📂 Food Processing",
                                "Consumer, Retail & Hospitality 📂 Furniture & Furnishing",
                                "Consumer, Retail & Hospitality 📂 Gems & Jewellery",
                                "Consumer, Retail & Hospitality 📂 Hotels & Restaurants",
                                "Consumer, Retail & Hospitality 📂 Leather",
                                "Consumer, Retail & Hospitality 📂 Retail",
                                "Consumer, Retail & Hospitality 📂 Textile & Apparel",
                                "Consumer, Retail & Hospitality 📂 Travel & Tourism",
                                "Manufacturing & Production 📂 Auto Components",
                                "Manufacturing & Production 📂 Automobile",
                                "Manufacturing & Production 📂 Building Material",
                                "Manufacturing & Production 📂 Chemicals",
                                "Manufacturing & Production 📂 Defence & Aerospace",
                                "Manufacturing & Production 📂 Electrical Equipment",
                                "Manufacturing & Production 📂 Fertilizers / Pesticides / Agro chemicals",
                                "Manufacturing & Production 📂 Industrial Automation",
                                "Manufacturing & Production 📂 Industrial Equipment / Machinery",
                                "Manufacturing & Production 📂 Iron & Steel",
                                "Manufacturing & Production 📂 Metals & Mining",
                                "Manufacturing & Production 📂 Packaging & Containers",
                                "Manufacturing & Production 📂 Petrochemical / Plastics / Rubber",
                                "Manufacturing & Production 📂 Pulp & Paper",
                                "Infrastructure, Transport & Real Estate 📂 Aviation",
                                "Infrastructure, Transport & Real Estate 📂 Courier / Logistics",
                                "Infrastructure, Transport & Real Estate 📂 Engineering & Construction",
                                "Infrastructure, Transport & Real Estate 📂 Oil & Gas",
                                "Infrastructure, Transport & Real Estate 📂 Ports & Shipping",
                                "Infrastructure, Transport & Real Estate 📂 Power",
                                "Infrastructure, Transport & Real Estate 📂 Railways",
                                "Infrastructure, Transport & Real Estate 📂 Real Estate",
                                "Infrastructure, Transport & Real Estate 📂 Urban Transport",
                                "Infrastructure, Transport & Real Estate 📂 Water Treatment / Waste Management",
                                "Media, Entertainment & Telecom 📂 Advertising & Marketing",
                                "Media, Entertainment & Telecom 📂 Animation & VFX",
                                "Media, Entertainment & Telecom 📂 Events / Live Entertainment",
                                "Media, Entertainment & Telecom 📂 Film / Music / Entertainment",
                                "Media, Entertainment & Telecom 📂 Gaming",
                                "Media, Entertainment & Telecom 📂 Printing & Publishing",
                                "Media, Entertainment & Telecom 📂 Sports / Leisure & Recreation",
                                "Media, Entertainment & Telecom 📂 TV / Radio",
                                "Miscellaneous 📂 Agriculture / Forestry / Fishing",
                                "Miscellaneous 📂 Government / Public Administration",
                                "Miscellaneous 📂 Import & Export",
                                "Miscellaneous 📂 Miscellaneous",
                                "Miscellaneous 📂 NGO / Social Services / Industry Associations"
                            ]
                        }
                    },
                    "dev_custom_headers": {
                        "title": "📜 HTTP HEADERS",
                        "type": "array",
                        "description": "💡 Additional HTTP Headers",
                        "items": {
                            "type": "object",
                            "required": [
                                "key",
                                "value"
                            ],
                            "properties": {
                                "key": {
                                    "type": "string",
                                    "title": "Key"
                                },
                                "value": {
                                    "type": "string",
                                    "title": "Value"
                                }
                            }
                        }
                    },
                    "dev_custom_cookies": {
                        "title": "🍰 HTTP COOKIES",
                        "type": "array",
                        "description": "💡 Additional HTTP Cookies",
                        "items": {
                            "type": "object",
                            "required": [
                                "key",
                                "value"
                            ],
                            "properties": {
                                "key": {
                                    "type": "string",
                                    "title": "Key"
                                },
                                "value": {
                                    "type": "string",
                                    "title": "Value"
                                }
                            }
                        }
                    },
                    "dev_transform_fields": {
                        "title": "♻️ CUSTOM FIELD",
                        "type": "array",
                        "description": "💡 <b>Transform the resulting output. Select only needed fields.</b><br><br>For nested object use <b>DOT</b>. For example: <pre>address.streetAddress</pre><br>For nested array use <b>NUMBER</b> <i>(index of array element starting from index=0)</i>. For example: <pre>images.0.url</pre>",
                        "items": {
                            "type": "object",
                            "required": [
                                "key",
                                "value"
                            ],
                            "properties": {
                                "key": {
                                    "type": "string",
                                    "title": "Key"
                                },
                                "value": {
                                    "type": "string",
                                    "title": "Value"
                                }
                            }
                        }
                    },
                    "dev_dataset_name": {
                        "title": "📁 CUSTOM STORAGE",
                        "type": "string",
                        "description": "💡 <b>Save results into custom named Dataset, use mask to customize dataset name</b><br><br><code>{ACTOR} = actor name<br>{DATE} = date (YYYYMMDD)<br>{TIME} = time (HHMMSS)</code><br><br>This masks can be used to autogenerate Dataset Name.<br><br>example: <i><code>data-{DATE}</code></i><br>Depending on today date the dataset name will be: <code>data-20230603</code><i><br><br>default: <code>data-{ACTOR}-{DATE}-{TIME}</code></i>"
                    },
                    "dev_dataset_clear": {
                        "title": "Clear Storage",
                        "type": "boolean",
                        "description": "Clear Dataset before insert/update."
                    },
                    "dev_no_strip": {
                        "title": "Disable data cleansing",
                        "type": "boolean",
                        "description": "💡 Keep/Save empty values <i><code>(NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)</code></i>"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
