# Dice Jobs Spider (`getdataforme/dice-jobs-spider`) Actor

The Dice Jobs Spider Apify Actor efficiently scrapes job listings from Dice.com, extracting titles, companies, locations, salaries, and descriptions....

- **URL**: https://apify.com/getdataforme/dice-jobs-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Agents, E-commerce
- **Features:** Full permissions
- **Stats:** 4 total users, 0 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

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

# README

## Dice Jobs Spider

### Introduction

The Dice Jobs Spider is a powerful Apify Actor designed to scrape job listings from Dice.com, one of the leading job search platforms. It efficiently extracts detailed job data, including titles, companies, locations, salaries, and descriptions, enabling users to gather comprehensive employment information for analysis or integration into other systems. This tool is ideal for HR professionals, recruiters, and data analysts seeking automated, reliable job market insights.

### Features

- **Comprehensive Data Extraction**: Captures key job details such as title, company, location, salary range, job type, and full descriptions from Dice.com listings.
- **Flexible URL Input**: Supports multiple starting URLs, allowing targeted scraping of specific job categories or search results.
- **High Reliability**: Built with robust error handling and anti-detection measures to ensure consistent performance and avoid blocks.
- **Scalable Performance**: Optimized for handling large volumes of job data with efficient crawling and minimal resource usage.
- **Structured Output**: Delivers clean, JSON-formatted data ready for export to CSV, Excel, or databases.
- **Customizable Filtering**: Easily configurable to focus on specific job types, locations, or keywords.
- **Real-Time Monitoring**: Provides live logs and progress tracking during runs for transparency and debugging.

### Input Parameters

| Parameter | Type    | Required | Description                                                                 | Example |
|-----------|---------|----------|-----------------------------------------------------------------------------|---------|
| Urls      | array   | No       | An array of URLs to start scraping from. Each URL should point to a Dice.com jobs page or search result. Must include at least one valid HTTP/HTTPS URL. | \["https://www.dice.com/jobs/q-IT+Support-jobs", "https://www.dice.com/jobs/q-software-engineer-jobs"] |

### Example Usage

#### Input Configuration

```json
{
  "Urls": [
    "https://www.dice.com/jobs/q-IT+Support-jobs"
  ]
}
```

#### Example Output

```json
[
  {
    "jobTitle": "IT Support Specialist",
    "company": "TechCorp Inc.",
    "location": "New York, NY",
    "salary": "$50,000 - $70,000",
    "jobType": "Full-time",
    "description": "Provide technical support for IT systems...",
    "postedDate": "2023-10-01",
    "url": "https://www.dice.com/job-detail/..."
  }
]
```

### Use Cases

- **Market Research and Analysis**: Analyze job trends, salary ranges, and demand for specific skills in the tech industry.
- **Competitive Intelligence**: Monitor competitors' hiring patterns and job postings to inform recruitment strategies.
- **Price Monitoring**: Track salary data for roles to benchmark compensation packages.
- **Content Aggregation**: Collect and aggregate job listings for publishing on job boards or newsletters.
- **Academic Research**: Gather data for studies on employment markets, diversity in hiring, or career development.
- **Business Automation**: Integrate job data into HR systems for automated candidate sourcing or reporting.

### Installation and Usage

1. Search for "Dice Jobs Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
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 Actor outputs data in JSON format, with each job represented as an object containing fields like `jobTitle`, `company`, `location`, `salary`, `jobType`, `description`, `postedDate`, and `url`. This structure ensures easy parsing and integration into databases or analysis tools. The output is an array of these objects, allowing for batch processing of multiple jobs.

### Support

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

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

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

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `itemLimit` (type: `integer`):

Specifies the maximum number of items to process.

## Actor input object example

```json
{
  "Urls": [
    "https://www.dice.com/jobs/q-IT+Support-jobs"
  ],
  "itemLimit": 20
}
```

# 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 = {
    "itemLimit": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/dice-jobs-spider").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 = { "itemLimit": 20 }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/dice-jobs-spider").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "itemLimit": 20
}' |
apify call getdataforme/dice-jobs-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/dice-jobs-spider"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/JkD5rRvDbeGXaL5wr/builds/vzAe0OJmuJKWK4lIe/openapi.json