# Naukri.com Jobs Scraper (`jungle_synthesizer/naukri-com-scraper`) Actor

Scrape job listings from Naukri.com, India's largest job portal. Search by keyword, location, experience level, and work type. Extracts job title, company, salary range, required skills, job description, ratings, and more per listing.

- **URL**: https://apify.com/jungle\_synthesizer/naukri-com-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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.com Jobs Scraper

Scrape job listings from [Naukri.com](https://www.naukri.com/), India's largest job portal with 100M+ registered users and 700K+ active job listings. Search by keyword, location, experience level, and work arrangement to extract structured job data at scale.

### What it does

The actor navigates Naukri's search results pages and intercepts the internal JSON API responses (`/jobapi/v3/search`), capturing fully structured job data — no fragile DOM scraping. It paginates automatically until your `maxItems` limit is reached or results are exhausted.

**Input:** keyword + optional filters → **Output:** one record per job listing with 17 structured fields.

### Use cases

- **Job market research** — track salary ranges, required skills, and hiring trends across companies and locations
- **Talent intelligence** — identify which companies are actively hiring for a given role
- **Competitive analysis** — monitor competitor job postings and growth signals
- **HR analytics** — bulk-gather job data for compensation benchmarking or skills gap analysis
- **Recruiting tools** — feed structured job data into your own applications or databases

### Input

| Field | Type | Description |
|-------|------|-------------|
| `keyword` | string (required) | Job search term, e.g. `python developer`, `data scientist`, `product manager` |
| `location` | string | City or region, e.g. `Bangalore`, `Mumbai`, `Delhi NCR`. Leave blank for all India. |
| `experienceMin` | integer | Minimum years of experience. Use `0` for fresher-friendly jobs. Default: `0` |
| `experienceMax` | integer | Maximum years of experience. Leave blank for no upper limit. |
| `workType` | string | Work arrangement filter: `work from home`, `hybrid`, `on-site`. Leave blank for all. |
| `maxItems` | integer | Maximum number of listings to scrape. Default: `10` |

#### Example input

```json
{
  "keyword": "python developer",
  "location": "bangalore",
  "experienceMin": 2,
  "experienceMax": 7,
  "workType": "",
  "maxItems": 100
}
````

### Output

Each record contains:

| Field | Description |
|-------|-------------|
| `jobId` | Naukri internal job ID |
| `title` | Job title |
| `companyName` | Hiring company name |
| `companyRating` | Company rating on Naukri (0–5 scale, as string) |
| `salary` | Salary range as displayed (e.g. `10-20 Lacs PA`) |
| `experience` | Required experience range (e.g. `2-5 Yrs`) |
| `location` | Job location(s) |
| `skills` | Required skills, comma-separated |
| `jobDescription` | Full job description text |
| `postedOn` | Date posted (Unix timestamp as string) |
| `jobAge` | Human-readable posting age (e.g. `3 Days Ago`, `30+ Days Ago`) |
| `jobUrl` | Direct link to the job detail page |
| `isWork_from_home` | `"true"` if work-from-home eligible |
| `isFresher` | `"true"` if the role is open to freshers (0 years experience required) |
| `tags` | Naukri listing tags |
| `footerPlaceholderLabel` | Footer context label (e.g. `Recruiting actively`) |
| `scrapedAt` | ISO 8601 timestamp when the record was scraped |

#### Example output record

```json
{
  "jobId": "87654321",
  "title": "Senior Python Developer",
  "companyName": "Infosys",
  "companyRating": "3.9",
  "salary": "12-20 Lacs PA",
  "experience": "3-6 Yrs",
  "location": "Bengaluru",
  "skills": "Python, Django, REST APIs, AWS",
  "jobDescription": "We are looking for an experienced Python developer...",
  "postedOn": "1748390400000",
  "jobAge": "5 Days Ago",
  "jobUrl": "https://www.naukri.com/job-listings/senior-python-developer-87654321",
  "isWork_from_home": "false",
  "isFresher": "false",
  "tags": "",
  "footerPlaceholderLabel": "Recruiting actively",
  "scrapedAt": "2026-05-28T10:00:00.000Z"
}
```

### Notes

- **Residential proxy** — Naukri blocks datacenter IPs. The actor uses DataImpulse residential proxy automatically; you are not charged for proxy usage.
- **Rate limiting** — A 3-second delay between page requests respects Naukri's servers and avoids blocks.
- **Experience filter** — `experienceMin` is passed server-side. `experienceMax` is applied client-side (the API does not support it natively).
- **Pagination** — Naukri returns up to 20 results per page; the actor paginates automatically to reach your `maxItems` target.
- **Freshers** — Set `experienceMin: 0` for fresher-friendly listings; filter further with `isFresher: "true"` in your output.

### Pricing

Priced per result record (Pay Per Event). You are charged only for data you receive.

# Actor input Schema

## `sp_intended_usage` (type: `string`):

Please describe how you plan to use the data extracted by this crawler.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

Provide your email address so we can get in touch with you.

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

Job search keyword (e.g. "python developer", "data scientist")

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

Job location filter (e.g. "Bangalore", "Mumbai", "delhi ncr"). Leave blank for all India.

## `experienceMin` (type: `integer`):

Minimum years of experience required. Use 0 for fresher jobs.

## `experienceMax` (type: `integer`):

Maximum years of experience. Leave blank for no upper limit.

## `workType` (type: `string`):

Filter by work arrangement. Options include "work from home", "hybrid", "on-site".

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

Maximum number of job listings to scrape. Naukri returns up to 20 per page.

## Actor input object example

```json
{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "keyword": "software engineer",
  "maxItems": 10
}
```

# Actor output Schema

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

No description

# 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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "keyword": "software engineer",
    "location": "",
    "experienceMin": 0,
    "workType": "",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/naukri-com-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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "keyword": "software engineer",
    "location": "",
    "experienceMin": 0,
    "workType": "",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/naukri-com-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 '{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "keyword": "software engineer",
  "location": "",
  "experienceMin": 0,
  "workType": "",
  "maxItems": 10
}' |
apify call jungle_synthesizer/naukri-com-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Naukri.com Jobs Scraper",
        "description": "Scrape job listings from Naukri.com, India's largest job portal. Search by keyword, location, experience level, and work type. Extracts job title, company, salary range, required skills, job description, ratings, and more per listing.",
        "version": "0.1",
        "x-build-id": "7H84Hs6DMsOHgGEik"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/jungle_synthesizer~naukri-com-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-jungle_synthesizer-naukri-com-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/jungle_synthesizer~naukri-com-scraper/runs": {
            "post": {
                "operationId": "runs-sync-jungle_synthesizer-naukri-com-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/jungle_synthesizer~naukri-com-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-jungle_synthesizer-naukri-com-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "keyword",
                    "maxItems"
                ],
                "properties": {
                    "sp_intended_usage": {
                        "title": "What is the intended usage of this data?",
                        "minLength": 1,
                        "type": "string",
                        "description": "Please describe how you plan to use the data extracted by this crawler."
                    },
                    "sp_improvement_suggestions": {
                        "title": "How can we improve this crawler for you?",
                        "minLength": 1,
                        "type": "string",
                        "description": "Provide any feedback or suggestions for improvements."
                    },
                    "sp_contact": {
                        "title": "Contact Email",
                        "minLength": 1,
                        "type": "string",
                        "description": "Provide your email address so we can get in touch with you."
                    },
                    "keyword": {
                        "title": "Search keyword",
                        "type": "string",
                        "description": "Job search keyword (e.g. \"python developer\", \"data scientist\")"
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "Job location filter (e.g. \"Bangalore\", \"Mumbai\", \"delhi ncr\"). Leave blank for all India."
                    },
                    "experienceMin": {
                        "title": "Minimum experience (years)",
                        "type": "integer",
                        "description": "Minimum years of experience required. Use 0 for fresher jobs."
                    },
                    "experienceMax": {
                        "title": "Maximum experience (years)",
                        "type": "integer",
                        "description": "Maximum years of experience. Leave blank for no upper limit."
                    },
                    "workType": {
                        "title": "Work type",
                        "type": "string",
                        "description": "Filter by work arrangement. Options include \"work from home\", \"hybrid\", \"on-site\"."
                    },
                    "maxItems": {
                        "title": "Max Items",
                        "type": "integer",
                        "description": "Maximum number of job listings to scrape. Naukri returns up to 20 per page."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
