# Dice Jobs Scraper - US Tech Jobs, Salary, Recruiter Flag (`centorprat/dice-jobs-scraper`) Actor

Scrape Dice US tech jobs by keyword and location with Dice filters (date, contract/full-time, remote, direct hire vs recruiter, visa sponsorship): salary, employer type, description, address, contacts, tech stack. No login.

- **URL**: https://apify.com/centorprat/dice-jobs-scraper.md
- **Developed by:** [Centor Prat](https://apify.com/centorprat) (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 $0.60 / 1,000 jobs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/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 Scraper - US Tech Jobs, Salary, Recruiter Flag

**Scrape Dice, the US tech job board**, by keyword and location with Dice's own filters: date posted, full-time /
contract / part-time / third party, **remote / hybrid / on-site**, **direct hire vs recruiter**, Easy Apply and **visa
sponsorship**. One row per job: title, company, location, workplace, employment type, **employer type** (direct hire /
recruiter), **salary** (text + parsed + annualized), Easy Apply, sponsorship, posted and updated dates, summary, and from
the job page: **full description**, city / state / postcode, expiry, and any **contact email / phone** in the ad.

We add department, seniority class and **tech stack** mentioned in the ad.

### 📥 Input

| Field | Meaning |
|---|---|
| `keywords` | e.g. `["python", "devops engineer"]` |
| `locations` | e.g. `["Austin, TX"]`, `["94105"]`; empty = all US |
| `radius`, `maxJobs`, `sortBy` | search area, size, order |
| `datePosted`, `employmentTypes`, `workplace`, `employerTypes`, `easyApply`, `willingToSponsor` | Dice filters |
| `includeDetails`, `excludeKeywords` | options |

```json
{ "keywords": ["data engineer"], "locations": ["New York, NY"], "employerTypes": ["direct"], "workplace": ["remote", "hybrid"], "maxJobs": 300 }
```

### 📤 Output (one job, shortened)

```json
{ "title": "Full-stack Engineer 4", "company": "Capital One", "location": "McLean, Virginia, USA", "workplace": "On-Site",
  "employmentType": "Full-time", "employerType": "Direct Hire", "salaryText": "USD 197,300.00 - 225,100.00 per year",
  "salary": {"min": 197300, "max": 225100, "currency": "USD", "period": "year", "annualMin": 197300, "annualMax": 225100},
  "postedAt": "2026-10-20T21:02:24Z", "postalCode": "22030", "techStack": {"languages": ["golang", "python", "java"]},
  "url": "https://www.dice.com/job-detail/..." }
```

### 💡 Uses

- **IT staffing and recruiters**: contract and full-time tech roles, recruiter vs direct-hire split, contacts.
- **Tech sales**: who is hiring for which stack, by city.
- **Job seekers and newsletters**: fresh remote tech jobs with salaries.

### 💰 Pricing

Pay per job returned (`job` event). Empty searches are free.

### 🤖 API / agents

```bash
curl -X POST "https://api.apify.com/v2/acts/centorprat~dice-jobs-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
     -H "Content-Type: application/json" -d '{"keywords": ["salesforce developer"], "maxJobs": 20}'
```

MCP: `https://mcp.apify.com/?tools=actors,docs,centorprat/dice-jobs-scraper`

### 🔗 Related actors

- [Indeed Jobs Scraper](https://apify.com/centorprat/indeed-jobs-scraper) · [LinkedIn Jobs Scraper](https://apify.com/centorprat/linkedin-jobs-scraper) · [Jobs Scraper - all boards](https://apify.com/centorprat/multi-job-board-scraper)

# Actor input Schema

## `keywords` (type: `array`):

e.g. \["python", "devops engineer", "salesforce developer"].

## `locations` (type: `array`):

US city / state / ZIP, e.g. \["Austin, TX"], \["New York, NY"], \["94105"]. Empty = all of the US.

## `radius` (type: `integer`):

Search radius around the location.

## `maxJobs` (type: `integer`):

Up to this many jobs per keyword x location.

## `datePosted` (type: `string`):

Only jobs posted in this window.

## `employmentTypes` (type: `array`):

Keep these employment types.

## `workplace` (type: `array`):

Keep these workplace types.

## `employerTypes` (type: `array`):

Direct employers, recruiters or both.

## `easyApply` (type: `boolean`):

Keep jobs with Dice Easy Apply.

## `willingToSponsor` (type: `boolean`):

Keep jobs whose employer is willing to sponsor a visa.

## `sortBy` (type: `string`):

Order of results.

## `includeDetails` (type: `boolean`):

Open each job page for the full description, address, expiry and contacts.

## `excludeKeywords` (type: `array`):

Drop jobs whose title or company contains any of these.

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

Not needed normally.

## Actor input object example

```json
{
  "keywords": [
    "python"
  ],
  "locations": [
    "Austin, TX"
  ],
  "radius": 30,
  "maxJobs": 10,
  "datePosted": "any",
  "easyApply": false,
  "willingToSponsor": false,
  "sortBy": "date",
  "includeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

One row per Dice job: title, company, location, workplace, employment and employer type, salary, Easy Apply, sponsorship, dates, description, address, contacts, tech stack.

# 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 = {
    "keywords": [
        "python"
    ],
    "locations": [
        "Austin, TX"
    ],
    "maxJobs": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("centorprat/dice-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["python"],
    "locations": ["Austin, TX"],
    "maxJobs": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("centorprat/dice-jobs-scraper").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 '{
  "keywords": [
    "python"
  ],
  "locations": [
    "Austin, TX"
  ],
  "maxJobs": 10
}' |
apify call centorprat/dice-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

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/FUNXpRZsYgY5FBB1P/builds/H091PkeMvVIqix5M0/openapi.json