# Contract Java jobs posted in the last 7 days

**Use case:** 

Java contract postings added to Dice in the last week, US-wide: employer type, workplace type, rate, skills, full description and apply link.

## Input

```json
{
  "queries": [
    "java"
  ],
  "maxItemsPerSearch": 100,
  "fetchDetails": true,
  "postedDate": "SEVEN",
  "employmentType": "CONTRACTS",
  "workplaceType": "",
  "employerType": "",
  "easyApply": false,
  "maxConcurrency": 3,
  "maxRetries": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": []
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "companyName": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "workplaceTypes": {
    "label": "Workplace",
    "format": "array"
  },
  "employmentType": {
    "label": "Type",
    "format": "string"
  },
  "salary": {
    "label": "Salary",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted",
    "format": "string"
  },
  "easyApply": {
    "label": "Easy Apply",
    "format": "boolean"
  },
  "applyUrl": {
    "label": "Apply link",
    "format": "string"
  },
  "url": {
    "label": "Dice URL",
    "format": "string"
  },
  "query": {
    "label": "Search",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Dice Jobs Scraper – Pay Per Job, No Browser Actor is ready to run with the inputs already set for "Contract Java jobs posted in the last 7 days". [Sign up or log in](https://console.apify.com/create-task-from-example/HncnZ4I7RheZCL7zd) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Contract Java jobs posted in the last 7 days" task

The Dice Jobs Scraper – Pay Per Job, No Browser Actor will start running based on the input automatically. You can also change all the input fields, like search queries, max jobs per query, and more, to match your specific use case.

### 3. Receive the "Contract Java jobs posted in the last 7 days" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, company, location, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Contract Java jobs posted in the last 7 days" task via API](https://apify.com/murmuring_headlamp/dice-jobs-fast.md).

## FAQ

### How do I get only new postings every day?

Set postedDate to Today and schedule the task daily; jobId is stable, so duplicates are easy to drop.

### Why does employmentType say Contract, Third Party?

A posting can list several employment types; the filter keeps every posting that includes Contract and the field shows all of them as on the site.

## About this Actor

This example demonstrates how to use [Dice Jobs Scraper – Pay Per Job, No Browser](https://apify.com/murmuring_headlamp/dice-jobs-fast.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/murmuring_headlamp/dice-jobs-fast.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/murmuring_headlamp/dice-jobs-fast.md

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`).