# Naukri jobs API: newest jobs posted in the last 24 hours

**Use case:** 

A daily Naukri.com jobs feed as JSON: the newest 2,000 jobs posted on Naukri in the last 24 hours across all sectors and cities, with company, city, work mode, experience, salary in LPA, skills and posting time. Set maxJobs to 0 to export every new job of the day (about 12,000); turn on only-new mode and schedule it for a feed.

## Input

```json
{
  "queries": [
    "data analyst"
  ],
  "allJobs": true,
  "locations": [],
  "workModes": [],
  "postedWithinDays": 1,
  "sortBy": "relevance",
  "keywordInTitle": false,
  "includeDescription": false,
  "maxJobsPerQuery": 100,
  "maxJobs": 2000,
  "onlyNewSinceLastRun": false,
  "skipJobIds": []
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "company.name": {
    "label": "Company",
    "format": "text"
  },
  "locations": {
    "label": "Cities",
    "format": "array"
  },
  "workMode": {
    "label": "Work mode",
    "format": "string"
  },
  "experienceText": {
    "label": "Experience",
    "format": "string"
  },
  "salaryMinLpa": {
    "label": "Min LPA",
    "format": "number"
  },
  "salaryMaxLpa": {
    "label": "Max LPA",
    "format": "number"
  },
  "skills": {
    "label": "Skills",
    "format": "array"
  },
  "applicants": {
    "label": "Applicants",
    "format": "number"
  },
  "postedAt": {
    "label": "Posted",
    "format": "string"
  },
  "url": {
    "label": "Job",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Naukri Jobs Scraper – India Jobs API with Salary (LPA) Actor is ready to run with the inputs already set for "Naukri jobs API: newest jobs posted in the last 24 hours". [Sign up or log in](https://console.apify.com/create-task-from-example/7HOM2qZvXIA94qoKe) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Naukri jobs API: newest jobs posted in the last 24 hours" task

The Naukri Jobs Scraper – India Jobs API with Salary (LPA) Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, all jobs (whole board), and more, to match your specific use case.

### 3. Receive the "Naukri jobs API: newest jobs posted in the last 24 hours" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, company, cities, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Naukri jobs API: newest jobs posted in the last 24 hours" task via API](https://apify.com/data_daemon/naukri-jobs-scraper.md).

## About this Actor

This example demonstrates how to use [Naukri Jobs Scraper – India Jobs API with Salary (LPA)](https://apify.com/data_daemon/naukri-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_daemon/naukri-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/data_daemon/naukri-jobs-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).