# Naukri Scraper API — Jobs, INR Salaries, Recruiter Leads (`tugelbay/naukri-jobs-leads`) Actor

Scrape Naukri.com jobs with recruiter-focused output: parsed salary ranges (INR), normalized skill tags, freshness filter, location targeting. Pan-India + city scopes.

- **URL**: https://apify.com/tugelbay/naukri-jobs-leads.md
- **Developed by:** [Tugelbay Konabayev](https://apify.com/tugelbay) (community)
- **Categories:** Jobs, Lead generation, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 job extracteds

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

## Naukri Jobs Leads (Recruiter Edition)

Scrape **Naukri.com** — India's #1 job board — and get recruiter-ready output: parsed salary ranges, normalized skill tags, freshness filtering, and pan-India or city-scoped queries.

### Why this actor?

| Need                            | This actor                                   |
| ------------------------------- | -------------------------------------------- |
| Salary parsed to numbers        | `salary_min` + `salary_max` + `currency`     |
| Skills normalized to array      | Clean skill tags for CRM and ATS filters     |
| JSON API + Chromium fallback    | Fast path first, browser fallback when gated |
| Freshness filter                | `maxAgeDays` for recent openings             |
| India residential proxy default | Pre-configured for more reliable runs        |
| Pricing                         | Pay per result                               |

This actor is positioned for **B2B recruiters and HR-tech tools** — not generic job-seeker scrapers.

### Input

| Field                | Type     | Default                | Description                                                      |
| -------------------- | -------- | ---------------------- | ---------------------------------------------------------------- |
| `queries`            | string[] | `["python developer"]` | Job titles / keywords. Each paginates until `maxItems`.          |
| `location`           | string   | —                      | City/region (e.g. `"bangalore"`, `"mumbai"`). Empty = pan-India. |
| `maxItems`           | int      | 50                     | Hard cap on dataset items.                                       |
| `maxPages`           | int      | 5                      | How many paginated pages per query.                              |
| `maxAgeDays`         | int      | 0                      | Drop jobs older than N days. 0 = no filter.                      |
| `proxyConfiguration` | object   | IN residential         | India residential reduces recaptcha.                             |

### Examples

**Pan-India Python jobs:**

```json
{
  "queries": ["python developer", "django developer"],
  "maxItems": 200
}
````

**Bangalore data engineering only, fresh in last 7 days:**

```json
{
  "queries": ["data engineer", "ml engineer"],
  "location": "bangalore",
  "maxItems": 100,
  "maxAgeDays": 7
}
```

### Output

```json
{
  "jobId": "200425901234",
  "title": "Senior Python Developer (Django/FastAPI)",
  "company": "Acme Tech Pvt Ltd",
  "companyId": 12345,
  "location": "Bengaluru / Bangalore",
  "experience": "5-9 Yrs",
  "salary_min": 1200000.0,
  "salary_max": 2400000.0,
  "salary_unit": "annual",
  "currency": "INR",
  "salary_raw": "12-24 LPA",
  "skills": ["Python", "Django", "FastAPI", "PostgreSQL", "AWS", "Docker"],
  "postedDate": "2 Days Ago",
  "description": "We are looking for...",
  "url": "https://www.naukri.com/job-listings-...",
  "source_url": "https://www.naukri.com/python-developer-jobs"
}
```

### Use cases

1. **HR-tech / ATS** — daily inbound feed of new openings matching client keywords
2. **Recruiting agencies** — competitor job-board scan for placement opportunities
3. **Salary benchmarking** — `salary_min`/`max` distribution by skill + experience
4. **Sales prospecting** — companies hiring `kubernetes engineers` are buying cloud tools
5. **Market reports** — track demand for skills (Rust, Go, AI) over time
6. **CRM enrichment** — match `companyId` to your prospect database

### Cost estimation

- Proxy cost depends on your Apify plan and residential proxy usage.
- API mode is lighter than browser fallback, so use focused queries and `maxPages` for cost control.
- Pay per result. Start with `maxItems: 25` to verify output and cost before larger runs.

**No captcha solver setup on your side.** When Naukri's API gates a session, the actor switches to a real Chromium browser via Playwright. This improves reliability without requiring a 2Captcha key, but it can be slower and use more proxy traffic.

**Safety cap:** Set `maxCostUsd` (e.g. `5`) for an additional hard kill-switch on proxy spend. The run aborts cleanly when reached so a single run can't bleed your account.

### FAQ

**Why two paths (API + browser)?** Naukri's `/jobapi/v3/search` returns rich JSON quickly, but it can demand reCAPTCHA on cold IPs. When that happens the actor transparently switches to a real Chromium browser — slower but always returns data, with no setup or extra credits from you.

**What does "recruiter-focused" mean exactly?** Recruiters care about salary band, skill match, freshness, and company. Generic scrapers dump raw strings. We pre-parse `"12-24 LPA"` into `salary_min: 1200000, salary_max: 2400000, currency: "INR"` so it slots straight into a CRM or ATS.

**Can I get the recruiter's name/email?** Naukri exposes a recruiter contact only on a small subset of postings. When present we surface it; otherwise the field is null. We don't bypass any login wall.

**Why is `maxAgeDays` not exact?** Naukri returns relative timestamps ("2 Days Ago", "30+ Days Ago"). We parse those into approximate cutoffs.

**My queries return very few jobs.** Naukri's slug pattern matters. Use the exact phrase you'd type into the Naukri search bar. Avoid full sentences.

**Can I scrape a specific company page?** Not in v0.1. Use the keyword query + filter `company` client-side for now. Company-page enrichment is on the roadmap.

### Troubleshooting

- **Most rows have `salary_raw` but null `salary_min`** — Naukri shows `"Not Disclosed"` for ~40% of postings. Filter your downstream queries on `salary_min IS NOT NULL`.
- **Some jobs missing skills** — older postings used free-text skills; we surface raw if normalization fails.
- **Rate limiting / 429** — proxy session burned. Lower `maxPages` and split queries across runs.
- **Empty `description`** — full job description requires a detail-page hit; v0.1 returns the listing-card snippet.

### Limitations

- INR salary only (no USD/EUR — Naukri is India-focused).
- Listing-card data only; full job descriptions require detail-page enrichment (planned for v0.2).
- No company-page scrape (employer profile, glassdoor-style metadata) — v0.2.
- Naukri may upgrade reCAPTCHA — if so, expect API path success rate to drop and browser fallback usage to rise (cost moves from $0.50 → $1.20 per 1000 jobs; still within PPE).

### Changelog

- **0.1** (2026-05-03) — Initial release. JSON API + Chromium-via-Playwright fallback (no external captcha solver needed), IN residential default, salary parsing, skill normalization.

# Actor input Schema

## `queries` (type: `array`):

Job titles or keywords (e.g. "python developer", "data engineer"). Each paginates until maxItems reached.

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

Optional city/region to scope the search (e.g. "bangalore", "mumbai"). Empty = pan-India.

## `maxItems` (type: `integer`):

Hard cap on dataset items emitted.

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

How many paginated pages per query to walk (Naukri returns ~20 jobs per page).

## `maxAgeDays` (type: `integer`):

Drop jobs older than N days. 0 = no filter.

## `maxCostUsd` (type: `integer`):

Hard kill-switch on estimated proxy spend. 0 = no cap. Run aborts cleanly when reached.

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

Apify residential India is the default. Reduces recaptcha trigger frequency on the JSON API.

## Actor input object example

```json
{
  "queries": [
    "python developer"
  ],
  "maxItems": 25,
  "maxPages": 5,
  "maxAgeDays": 0,
  "maxCostUsd": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}
```

# 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 = {
    "queries": [
        "python developer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tugelbay/naukri-jobs-leads").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 = { "queries": ["python developer"] }

# Run the Actor and wait for it to finish
run = client.actor("tugelbay/naukri-jobs-leads").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 '{
  "queries": [
    "python developer"
  ]
}' |
apify call tugelbay/naukri-jobs-leads --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Naukri Scraper API — Jobs, INR Salaries, Recruiter Leads",
        "description": "Scrape Naukri.com jobs with recruiter-focused output: parsed salary ranges (INR), normalized skill tags, freshness filter, location targeting. Pan-India + city scopes.",
        "version": "0.1",
        "x-build-id": "rXBIQLLNA3DFNXqnM"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/tugelbay~naukri-jobs-leads/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-tugelbay-naukri-jobs-leads",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/tugelbay~naukri-jobs-leads/runs": {
            "post": {
                "operationId": "runs-sync-tugelbay-naukri-jobs-leads",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/tugelbay~naukri-jobs-leads/run-sync": {
            "post": {
                "operationId": "run-sync-tugelbay-naukri-jobs-leads",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "queries": {
                        "title": "Search queries",
                        "type": "array",
                        "description": "Job titles or keywords (e.g. \"python developer\", \"data engineer\"). Each paginates until maxItems reached.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "Optional city/region to scope the search (e.g. \"bangalore\", \"mumbai\"). Empty = pan-India."
                    },
                    "maxItems": {
                        "title": "Max items",
                        "minimum": 1,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Hard cap on dataset items emitted.",
                        "default": 25
                    },
                    "maxPages": {
                        "title": "Max pages per query",
                        "minimum": 1,
                        "maximum": 50,
                        "type": "integer",
                        "description": "How many paginated pages per query to walk (Naukri returns ~20 jobs per page).",
                        "default": 5
                    },
                    "maxAgeDays": {
                        "title": "Max age in days",
                        "minimum": 0,
                        "maximum": 365,
                        "type": "integer",
                        "description": "Drop jobs older than N days. 0 = no filter.",
                        "default": 0
                    },
                    "maxCostUsd": {
                        "title": "Max spend per run (USD)",
                        "minimum": 0,
                        "maximum": 50,
                        "type": "integer",
                        "description": "Hard kill-switch on estimated proxy spend. 0 = no cap. Run aborts cleanly when reached.",
                        "default": 0
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Apify residential India is the default. Reduces recaptcha trigger frequency on the JSON API.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ],
                            "apifyProxyCountry": "IN"
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```