# Work India Job Detail Extractor (`getdataforme/work-india-job-detail-extractor`) Actor

Efficiently scrape and extract comprehensive job details from WorkIndia, including salary, location, and experience. Ideal for recruiters, HR professionals, and job seekers analyzing market trends or sourcing opportunities....

- **URL**: https://apify.com/getdataforme/work-india-job-detail-extractor.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 1,000 results

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

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

## What's an Apify Actor?

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

## How to integrate an Actor?

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

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

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

---

## Work India Job Detail Extractor

### Introduction

The Work India Job Detail Extractor is a powerful tool designed to efficiently scrape and extract detailed job information from the WorkIndia website. This Apify Actor simplifies the process of gathering comprehensive job data, making it invaluable for recruiters, HR professionals, and job seekers looking to analyze market trends or find specific opportunities.

### Features

- **Comprehensive Data Extraction**: Captures extensive details including salary range, location, experience requirements, and more.
- **High Reliability**: Ensures accurate and up-to-date information with minimal errors.
- **Flexible Configuration**: Allows customization of input parameters such as job URLs and item limits.
- **Scalable Performance**: Efficiently handles multiple job listings simultaneously.
- **User-Friendly Interface**: Easy setup and execution within the Apify platform.

### Input Parameters

| Parameter     | Type    | Required | Description                                                                 | Example                                                                 |
|---------------|---------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------|
| JobUrls       | array   | Yes      | The job URLs for the spider. Must be valid HTTP/HTTPS links.                | `["https://www.workindia.in/jobs/work_from_home_insurance_advisor-mi_road-jaipur-9921672/"]` |
| item_limit    | integer | No       | Maximum items to scrape per actor run. Set to 0 for no limit.               | `10`                                                                    |

### Example Usage

#### Input JSON
```json
{
  "JobUrls": [
    "https://www.workindia.in/jobs/work_from_home_insurance_advisor-mi_road-jaipur-9921672/"
  ],
  "item_limit": 10
}
````

#### Output JSON

```json
[
  {
    "source_url": "https://www.workindia.in/jobs/work_from_home_insurance_advisor-mi_road-jaipur-9921672/",
    "source_job_id": "9921672",
    "title": "Insurance Advisor",
    "salary_range": "Rs. 15000 - Rs. 200000",
    "views": 371,
    "location": "Raja Park",
    "city": "jaipur",
    "is_remote": "no",
    "experience": "fresher",
    "english_score": 1,
    "organization_name": "Life Insurance Corporation Of India",
    "education": "Tenth Pass",
    "date": "2026-03-05T10:22:58Z",
    "expiry": "2026-03-05",
    "job_timings": "9:30 AM - 6:30 PM | Monday to Saturday",
    "interview_timings": "11:00 AM - 4:00 PM | Monday to Saturday",
    "job_address": "Jaipur Rajasthan",
    "interview_address": null,
    "job_description": "Business Leads Generate Karna, Customers Se Interact Karna. Preferred Experience In : Insurance",
    "html_description": "<p>Business Leads Generate Karna, Customers Se Interact Karna.</p><p><strong>Salary: Rs. 15000 - Rs. 200000</strong></p><p>Qualification: Tenth Pass</p><p>Location: Raja Park</p><p>Work Hours: 9:30 AM - 6:30 PM | Monday to Saturday</p><p>Job Category: Business Development</p><p>No English</p><p> | Preferred Experience In : Insurance</p>",
    "additional_info": " | Preferred Experience In : Insurance",
    "employment_type": "FULL_TIME",
    "min_salary": 15000,
    "max_salary": 100000,
    "no_of_openings": 30,
    "genders": "Both male and female can apply",
    "skills": [
      "insurance"
    ],
    "is_expired": true,
    "contact": null,
    "whatsapp_link": null,
    "facebook_link": null,
    "telegram_link": null,
    "similar_job_id": 5590857,
    "actor_id": "HiEA7SJOT6rVzLFzE",
    "run_id": "nQRnwouTawAqHUy16"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Analyze job market trends and salary benchmarks.
- **Competitive Intelligence**: Monitor competitor job postings to understand industry standards.
- **Price Monitoring**: Track salary ranges for specific roles across different regions.
- **Content Aggregation**: Compile job listings for newsletters or recruitment platforms.
- **Academic Research**: Gather data for studies on employment patterns and economic trends.
- **Business Automation**: Automate the process of sourcing candidates for HR departments.

### Installation and Usage

1. Search for "Work India Job Detail Extractor" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters such as job URLs and item limits.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array containing detailed information about each job listing. Key fields include:

- `source_url`: The URL of the job listing.
- `title`: Job title.
- `salary_range`: Salary range for the position.
- `location`: Job location.
- `experience`: Required experience level.
- `organization_name`: Name of the hiring organization.
- `job_description`: Detailed description of the job role.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

# Actor input Schema

## `JobUrls` (type: `array`):

The job urls for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "JobUrls": [
    "https://www.workindia.in/jobs/work_from_home_insurance_advisor-mi_road-jaipur-9921672/"
  ],
  "item_limit": 10
}
```

# Actor output Schema

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

Scraped data items from dataset

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/work-india-job-detail-extractor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/work-india-job-detail-extractor").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 '{}' |
apify call getdataforme/work-india-job-detail-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/work-india-job-detail-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Work India Job Detail Extractor",
        "description": "Efficiently scrape and extract comprehensive job details from WorkIndia, including salary, location, and experience. Ideal for recruiters, HR professionals, and job seekers analyzing market trends or sourcing opportunities....",
        "version": "0.0",
        "x-build-id": "Vk7bcOnif9tWMwPoe"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/getdataforme~work-india-job-detail-extractor/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-getdataforme-work-india-job-detail-extractor",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/getdataforme~work-india-job-detail-extractor/runs": {
            "post": {
                "operationId": "runs-sync-getdataforme-work-india-job-detail-extractor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/getdataforme~work-india-job-detail-extractor/run-sync": {
            "post": {
                "operationId": "run-sync-getdataforme-work-india-job-detail-extractor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "JobUrls": {
                        "title": "Job Urls",
                        "minItems": 1,
                        "type": "array",
                        "description": "The job urls for the spider.",
                        "default": [
                            "https://www.workindia.in/jobs/work_from_home_insurance_advisor-mi_road-jaipur-9921672/"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "item_limit": {
                        "title": "Item limit",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum items to scrape per actor run. Set to 0 for no limit.",
                        "default": 10
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
