# Naukri Jobs Scraper — India Job Data & API (`sian.agency/naukri-jobs-scraper`) Actor

Naukri jobs scraper & India job data API. Extract job postings: title, company, salary, experience, skills, location, apply link — clean JSON/CSV. Search by keyword or pull full details, no Naukri API key needed.

- **URL**: https://apify.com/sian.agency/naukri-jobs-scraper.md
- **Developed by:** [SIÁN OÜ](https://apify.com/sian.agency) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.92 / 1,000 job detail extracteds

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

## Naukri Jobs Scraper — India Job Listings & Data API 🇮🇳

[![SIÁN Agency Store](https://img.shields.io/badge/Store-SI%C3%81N%20Agency-1AE392)](https://apify.com/sian.agency?fpr=sian) [![Jobs Search API](https://img.shields.io/badge/Store-Jobs%20Search%20API-1AE392)](https://apify.com/sian.agency/jsearch-jobs-scraper?fpr=sian) [![Email Lead Scraper](https://img.shields.io/badge/Store-Email%20Lead%20Scraper-1AE392)](https://apify.com/sian.agency/email-contact-lead-scraper?fpr=sian) [![Google Maps Leads](https://img.shields.io/badge/Store-Google%20Maps%20Leads-4285F4)](https://apify.com/sian.agency/local-business-data-scraper?fpr=sian)

#### 🎉 Turn India's biggest job board into a clean, structured dataset — title, company, salary, skills, location and full descriptions in one run
##### Built for recruiters, talent-sourcing teams, HR analysts and job aggregators who need fresh job data without copy-paste

---

### 📋 Overview

**Pull live job postings from India's #1 careers portal into ready-to-use JSON or CSV** — no account, no API key, no manual scrolling. Search by keyword or extract full job records at scale.

**Why recruitment and data teams choose us:**
- ✅ **Rich job records**: title, company, salary band, experience, skills, work mode, vacancies, full description and apply link — up to 30 fields per job
- ⚡ **Fast & reliable**: a lightweight extraction path that pulls fresh, currently-posted jobs across India
- 🎯 **Two flexible modes**: discover live jobs automatically, paste specific job links/IDs, or search by keyword + filters
- 💰 **Pay-per-result**: only pay for jobs you actually get — transparent, no subscription
- 💎 **Clean structured output**: every job normalized into the same schema — drop straight into a spreadsheet, database or BI tool
- ✨ **Filter-aware**: narrow by city, experience, salary band, freshness and work-from-home

---

### ✨ Features

- 💼 **Full job records** — title, company, client company, salary min/max, experience range, skills, vacancies, full description
- 🔎 **Automatic discovery** — finds live, currently-posted jobs across India with zero input
- 🔗 **By URL or ID** — paste any job link or numeric job ID and get the full record
- 🔍 **Keyword search** — search any role (e.g. "python developer") with India-wide coverage
- 🎛️ **Powerful filters** — city, years of experience, salary band, posted-within-days, work mode (office/hybrid/remote), sort order
- 📍 **Location & apply data** — job location plus the direct application link
- 📊 **Engagement signals** — views and applies counts where available
- 📥 **Export anywhere** — JSON, CSV or Excel directly from the Apify dataset
- 🧾 **Run report** — an HTML summary of every run with key metrics

---

### 🎬 Quick Start

Start a run with a single API call — extract live jobs in seconds.

```bash
curl -X POST https://api.apify.com/v2/acts/sian.agency~naukri-jobs-scraper/runs?token=YOUR_TOKEN \
-H 'Content-Type: application/json' \
-d '{"scrapeMode": "detail", "detailSource": "sitemap", "maxResults": 50}'
````

***

### 🚀 Getting Started (3 Simple Steps)

#### Step 1: Choose a mode

Pick **Job details** (full records) or **Keyword search** (find jobs by query).

#### Step 2: Set your scope

For job details, let it discover jobs automatically or paste your own job URLs/IDs. For search, type a keyword and add optional filters.

#### Step 3: Run & export

Click **Start** and download your jobs as JSON, CSV or Excel.

**That's it! In a minute or two, you'll have:**

- A structured dataset of India job postings
- Salary, skills, experience and apply links per job
- A clean run report with totals

***

### 📥 Input Configuration

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| scrapeMode | string | No | `detail` (full job records) or `search` (keyword search) |
| detailSource | string | No | `sitemap` (discover automatically) or `urls` (your own links/IDs) |
| city | string | No | Optional city focus for automatic discovery (e.g. `Pune`) |
| jobUrls | array | No | Job links or numeric job IDs (detail/urls mode) |
| keyword | string | No | Search keyword (search mode) |
| searchUrls | array | No | Naukri search-results URLs (search mode) |
| experience | string | No | Years of experience filter (search mode) |
| jobAge | string | No | Posted within N days: 1/3/7/15/30 (search mode) |
| wfhType | string | No | Work mode: 0=office, 1=hybrid, 2=remote (search mode) |
| ctcFilter | string | No | Salary band in lakhs, `<min>to<max>` e.g. `5to10` (search mode) |
| sort | string | No | `relevance`, `freshness` or `sponsored` (search mode) |
| maxPages | integer | No | Search result pages to read (search mode) |
| maxResults | integer | No | Max jobs per run (FREE: 25, PAID: unlimited) |

**Example — discover live jobs:**

```json
{
  "scrapeMode": "detail",
  "detailSource": "sitemap",
  "city": "Bangalore",
  "maxResults": 100
}
```

**Example — specific jobs by ID:**

```json
{
  "scrapeMode": "detail",
  "detailSource": "urls",
  "jobUrls": ["130526502160", "https://www.naukri.com/job-listings-senior-engineer-210526501634"]
}
```

***

### 📤 Output

Results are saved to the Apify dataset with **up to 30 fields** including:

| Field | Type | Description |
|-------|------|-------------|
| jobTitle | string | Role / position title |
| company\_name | string | Hiring company |
| location | string | Job location(s) |
| salary\_min / salary\_max | number | Salary band (0 when undisclosed) |
| experience\_min / experience\_max | number | Years of experience required |
| tags\_and\_skills | array | Key skills for the role |
| employment\_type | string | e.g. Full Time, Permanent |
| wfh\_type | string | Work mode (0=office, 1=hybrid, 2=remote) |
| vacancies | number | Number of open positions |
| description | string | Full job description |
| apply\_link | string | Direct application link |
| posted\_date | string | When the job was posted |
| url | string | Public job-listing URL |

**Example:**

```json
{
  "id": "130526502160",
  "jobTitle": "Senior Expert - Energy Components",
  "company_name": "Octaserv Technologies",
  "location": "Pune",
  "salary_min": 0,
  "salary_max": 0,
  "experience_min": 5,
  "experience_max": 10,
  "tags_and_skills": ["Product management", "C++", "SQL", "JSON"],
  "employment_type": "Full Time, Permanent",
  "wfh_type": "0",
  "vacancies": 1,
  "apply_link": "http://apply.naukri.com/apply/...",
  "posted_date": "2026-05-13",
  "url": "https://www.naukri.com/job-listings-senior-expert-130526502160"
}
```

***

### 💼 Use Cases & Examples

#### 1. Talent Sourcing at Scale

**Recruiters building candidate pipelines for live roles.**

**Input:** A keyword like "data scientist" + city filter
**Output:** Every matching live job with skills, experience and apply links
**Use:** Map demand, find competing roles, target candidates

#### 2. Salary Benchmarking

**HR and compensation analysts pricing roles for the Indian market.**

**Input:** Automatic discovery filtered by city and experience
**Output:** Salary bands, experience ranges and skills across hundreds of jobs
**Use:** Build defensible salary bands by role and location

#### 3. Hiring-Trend Tracking

**Market researchers tracking which skills and roles are heating up.**

**Input:** Daily runs by keyword or city
**Output:** Fresh job feeds with posted dates and skill tags
**Use:** Spot emerging skills and hiring surges over time

#### 4. Job-Aggregator Feeds

**Job boards and aggregators that need clean India inventory.**

**Input:** Automatic discovery, high `maxResults`
**Output:** Normalized job records ready for ingestion
**Use:** Power a niche job board with structured listings

#### 5. Competitor Hiring Analysis

**Strategy teams watching where rivals are expanding.**

**Input:** Keyword or company-related searches
**Output:** Roles, locations and vacancy counts
**Use:** Infer expansion, new teams and tech stacks from hiring

***

### 🔗 Integration Examples

#### JavaScript/Node.js

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/naukri-jobs-scraper').call({
  scrapeMode: 'detail',
  detailSource: 'sitemap',
  maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);
```

#### Python

```python
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/naukri-jobs-scraper').call(
    run_input={'scrapeMode': 'detail', 'detailSource': 'sitemap', 'maxResults': 50}
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)
```

#### cURL

```bash
curl -X POST 'https://api.apify.com/v2/acts/sian.agency~naukri-jobs-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"scrapeMode": "search", "keyword": "python developer", "maxResults": 50}'
```

#### Automation Workflows (N8N / Zapier / Make)

1. **Trigger**: Schedule or webhook
2. **HTTP Request**: Call the actor API
3. **Process**: Handle JSON results
4. **Action**: Save to a sheet, CRM or database

***

### 📊 Performance & Pricing

#### FREE Tier (Try It Now)

- **25 jobs** per run — full feature access, same quality
- No credit card required
- Perfect for testing and small projects

#### PAID Tier (Production Ready)

- **Unlimited** jobs per run
- Faster processing, no delays
- Pay-per-result: only charged for jobs you actually receive

💰 **Transparent pay-per-result pricing** — no subscription, no surprises.

🔗 [View current pricing](https://apify.com/sian.agency/naukri-jobs-scraper?fpr=sian)

***

### ❓ Frequently Asked Questions

**Q: How many jobs can I extract?**
A: FREE tier: 25 per run. PAID tier: unlimited.

**Q: Do I need an account or API key for the job portal?**
A: No — just run the actor. No login, no portal API key.

**Q: What output formats are available?**
A: JSON, CSV and Excel — export directly from the Apify dataset.

**Q: Can I extract a specific job?**
A: Yes — use `detail` mode with `detailSource: urls` and paste the job link or numeric ID.

**Q: Why is the salary sometimes 0?**
A: Many employers hide the salary band; `salary_disclosed` tells you whether it was published.

**Q: Is this legal?**
A: We only extract publicly available job listings. See the legal note below.

***

### 🐛 Troubleshooting

**No jobs returned in detail mode**

- Increase `maxResults`, or remove a very narrow `city` filter
- For `urls` mode, confirm the link contains a numeric job ID

**Keyword search returns an error**

- Keyword search depends on a region-restricted portal endpoint that may be temporarily unavailable; use **Job details** mode for the most reliable, full-coverage results

**Fewer jobs than requested**

- The portal may have fewer live matches than your `maxResults`; the run still succeeds with what's available

***

### ⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the **GDPR** in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/).

> **Trademark notice:** Naukri® and Naukri.com® are trademarks of Info Edge (India) Ltd. This actor is an independent tool and is **not** affiliated with, endorsed by, or sponsored by Info Edge or Naukri.com. It accesses only publicly available job listings.

***

### 🤝 Support

[![Telegram Support](https://img.shields.io/badge/Telegram-Support%20Group-0088cc?logo=telegram)](https://t.me/+vyh1sRE08sAxMGRi)

**Join our active support community**

- For issues or questions, open an issue in the actor's repository
- Check the [SIÁN Agency Store](https://apify.com/sian.agency?fpr=sian) for more automation tools
- 📧 <apify@sian-agency.online>

***

**Built by [SIÁN Agency](https://www.sian-agency.online)** | **[More Tools](https://apify.com/sian.agency?fpr=sian)**

# Actor input Schema

## `scrapeMode` (type: `string`):

🧭 **Choose how to collect jobs:**

- **Job details (recommended):** full job records — title, company, salary, experience, skills, full description, apply link. Best coverage, fastest, most data per job.
- **Keyword search:** find jobs by a search keyword + filters (experience, freshness, work-from-home, salary band). Returns lighter result tiles.

💡 **TIP:** Start with **Job details** for the richest output.

## `detailSource` (type: `string`):

📄 **Where to get the jobs for Job details mode:**

- **Discover automatically:** the scraper finds live, currently-posted jobs across India automatically — no input needed.
- **My job URLs / IDs:** paste specific job links or numeric job IDs in the field below.

Ignored in Keyword search mode.

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

📍 **Optional city focus** for automatic discovery — e.g. `Pune`, `Bangalore`, `Mumbai`, `Hyderabad`. Leave blank to pull jobs from across India.

Applies only to **Job details · Discover automatically**.

## `jobUrls` (type: `array`):

🔗 **Paste Naukri job links or numeric job IDs** (one per line). Works with full `job-listings-…` URLs or bare IDs like `130526502160`.

Used only when **Job source = My job URLs / IDs**.

## `keyword` (type: `string`):

🔍 **Search keyword** for Keyword search mode — e.g. `python developer`, `data scientist`, `product manager`.

💡 Combine with the filters below to narrow results. Ignored in Job details mode.

## `searchUrls` (type: `array`):

🔗 **Paste Naukri search-results URLs** (one per line), e.g. `https://www.naukri.com/python-developer-jobs`. Filters in the URL are honored. Alternative to typing a keyword.

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

🧑‍💼 **Filter by years of experience** (Keyword search only), e.g. `5`.

## `jobAge` (type: `string`):

📅 **Freshness filter** (Keyword search only) — show only jobs posted within N days. Common values: `1`, `3`, `7`, `15`, `30`.

## `wfhType` (type: `string`):

🏠 **Work-from-home filter** (Keyword search only): `0` = office, `1` = hybrid, `2` = remote.

## `ctcFilter` (type: `string`):

💰 **Salary band filter** (Keyword search only) in lakhs, formatted `<min>to<max>` — e.g. `5to10`.

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

↕️ **Result sort order** (Keyword search only).

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

📑 **How many result pages to read** in Keyword search mode (≈20 jobs per page).

## `maxResults` (type: `integer`):

🔢 **Maximum jobs to extract this run.**

- **FREE users:** up to 25 jobs per run
- **PAID users:** unlimited

The scraper stops once this many jobs are saved.

## Actor input object example

```json
{
  "scrapeMode": "detail",
  "detailSource": "sitemap",
  "city": "Pune",
  "jobUrls": [
    "130526502160",
    "https://www.naukri.com/job-listings-senior-engineer-210526501634"
  ],
  "keyword": "python developer",
  "searchUrls": [
    "https://www.naukri.com/python-developer-jobs"
  ],
  "sort": "relevance",
  "maxPages": 2,
  "maxResults": 50
}
```

# Actor output Schema

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

All extracted job postings — title, company, salary, experience, skills, location, apply link.

## `scrapingSummary` (type: `string`):

HTML summary of the run with key metrics.

# 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 = {
    "scrapeMode": "detail",
    "detailSource": "sitemap",
    "sort": "relevance",
    "maxPages": 2,
    "maxResults": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("sian.agency/naukri-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 = {
    "scrapeMode": "detail",
    "detailSource": "sitemap",
    "sort": "relevance",
    "maxPages": 2,
    "maxResults": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("sian.agency/naukri-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 '{
  "scrapeMode": "detail",
  "detailSource": "sitemap",
  "sort": "relevance",
  "maxPages": 2,
  "maxResults": 50
}' |
apify call sian.agency/naukri-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Naukri Jobs Scraper — India Job Data & API",
        "description": "Naukri jobs scraper & India job data API. Extract job postings: title, company, salary, experience, skills, location, apply link — clean JSON/CSV. Search by keyword or pull full details, no Naukri API key needed.",
        "version": "1.0",
        "x-build-id": "nOMXS3DPQ6oscKrKe"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/sian.agency~naukri-jobs-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-sian.agency-naukri-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/sian.agency~naukri-jobs-scraper/runs": {
            "post": {
                "operationId": "runs-sync-sian.agency-naukri-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/sian.agency~naukri-jobs-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-sian.agency-naukri-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "scrapeMode": {
                        "title": "🧭 Scrape mode",
                        "enum": [
                            "detail",
                            "search"
                        ],
                        "type": "string",
                        "description": "🧭 **Choose how to collect jobs:**\n\n- **Job details (recommended):** full job records — title, company, salary, experience, skills, full description, apply link. Best coverage, fastest, most data per job.\n- **Keyword search:** find jobs by a search keyword + filters (experience, freshness, work-from-home, salary band). Returns lighter result tiles.\n\n💡 **TIP:** Start with **Job details** for the richest output.",
                        "default": "detail"
                    },
                    "detailSource": {
                        "title": "📄 Job source (Job details mode)",
                        "enum": [
                            "sitemap",
                            "urls"
                        ],
                        "type": "string",
                        "description": "📄 **Where to get the jobs for Job details mode:**\n\n- **Discover automatically:** the scraper finds live, currently-posted jobs across India automatically — no input needed.\n- **My job URLs / IDs:** paste specific job links or numeric job IDs in the field below.\n\nIgnored in Keyword search mode.",
                        "default": "sitemap"
                    },
                    "city": {
                        "title": "📍 City filter (optional)",
                        "type": "string",
                        "description": "📍 **Optional city focus** for automatic discovery — e.g. `Pune`, `Bangalore`, `Mumbai`, `Hyderabad`. Leave blank to pull jobs from across India.\n\nApplies only to **Job details · Discover automatically**."
                    },
                    "jobUrls": {
                        "title": "🔗 Job URLs or IDs",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "🔗 **Paste Naukri job links or numeric job IDs** (one per line). Works with full `job-listings-…` URLs or bare IDs like `130526502160`.\n\nUsed only when **Job source = My job URLs / IDs**.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "keyword": {
                        "title": "🔍 Search keyword",
                        "type": "string",
                        "description": "🔍 **Search keyword** for Keyword search mode — e.g. `python developer`, `data scientist`, `product manager`.\n\n💡 Combine with the filters below to narrow results. Ignored in Job details mode."
                    },
                    "searchUrls": {
                        "title": "🔗 Search URLs",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "🔗 **Paste Naukri search-results URLs** (one per line), e.g. `https://www.naukri.com/python-developer-jobs`. Filters in the URL are honored. Alternative to typing a keyword.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "experience": {
                        "title": "🧑‍💼 Years of experience",
                        "type": "string",
                        "description": "🧑‍💼 **Filter by years of experience** (Keyword search only), e.g. `5`."
                    },
                    "jobAge": {
                        "title": "📅 Posted within (days)",
                        "type": "string",
                        "description": "📅 **Freshness filter** (Keyword search only) — show only jobs posted within N days. Common values: `1`, `3`, `7`, `15`, `30`."
                    },
                    "wfhType": {
                        "title": "🏠 Work mode",
                        "type": "string",
                        "description": "🏠 **Work-from-home filter** (Keyword search only): `0` = office, `1` = hybrid, `2` = remote."
                    },
                    "ctcFilter": {
                        "title": "💰 Salary band (lakhs)",
                        "type": "string",
                        "description": "💰 **Salary band filter** (Keyword search only) in lakhs, formatted `<min>to<max>` — e.g. `5to10`."
                    },
                    "sort": {
                        "title": "↕️ Sort order",
                        "enum": [
                            "relevance",
                            "freshness",
                            "sponsored"
                        ],
                        "type": "string",
                        "description": "↕️ **Result sort order** (Keyword search only).",
                        "default": "relevance"
                    },
                    "maxPages": {
                        "title": "📑 Max search pages",
                        "minimum": 1,
                        "type": "integer",
                        "description": "📑 **How many result pages to read** in Keyword search mode (≈20 jobs per page).",
                        "default": 2
                    },
                    "maxResults": {
                        "title": "🔢 Max jobs per run",
                        "minimum": 1,
                        "type": "integer",
                        "description": "🔢 **Maximum jobs to extract this run.**\n\n- **FREE users:** up to 25 jobs per run\n- **PAID users:** unlimited\n\nThe scraper stops once this many jobs are saved.",
                        "default": 50
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
