# Dice Jobs Scraper (`thenetaji/dice-jobs-scraper`) Actor

Search Dice for technology roles by keyword and location and export each matching posting with its title, employer, location, pay and dates.

- **URL**: https://apify.com/thenetaji/dice-jobs-scraper.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (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 $3.40 / 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.
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

Search Dice by keyword and location and export technology job listings as structured dataset rows.

```json
{
  "query": "python developer",
  "location": "New York, NY",
  "page": 1,
  "maxItems": 100
}
```

### Accepted input

- `query` — required job title, skill, or keyword.
- `location` — optional city, state, or country.
- `page` — first results page to collect; defaults to `1`.
- `maxItems` — maximum saved rows; defaults to `100`. Use `0` for all available results.

### Results

Each row represents one job listing and includes the available job ID, title, employer, location, work arrangement, pay, publication dates, description preview, and application URL. Search context and Dice result totals are retained for grouping and reporting.

Collection stops when the requested limit is reached or no new listings remain. An empty dataset means the search returned no matching postings.

### Related Actors

Use [Dice Job Description Scraper](https://apify.com/thenetaji/dice-job-description-scraper) for a complete posting, or [All-in-One Job Boards Scraper](https://apify.com/thenetaji/job-boards-all-in-one-scraper) to combine Dice, Seek, and ZipRecruiter workflows.

# Actor input Schema

## `query` (type: `string`):

The job title, skill or keyword to search for. Used by the Dice and Seek searches; the ZipRecruiter search takes no keyword at all and is driven by location alone.

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

Where to search, in the wording the board itself uses — a city, a state or a country. Left empty, each board returns whatever it serves a reader with no location set.

## `page` (type: `integer`):

Which page the search modes start from. Leave at 1 unless you are picking a run back up part-way through a result list.

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

Maximum number of rows to save. Set 0 for no limit.

## Actor input object example

```json
{
  "query": "python developer",
  "location": "New York, NY",
  "page": 1,
  "maxItems": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

All records scraped by this run

# 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 = {
    "query": "python developer",
    "location": "New York, NY",
    "page": 1,
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thenetaji/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 = {
    "query": "python developer",
    "location": "New York, NY",
    "page": 1,
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/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 '{
  "query": "python developer",
  "location": "New York, NY",
  "page": 1,
  "maxItems": 20
}' |
apify call thenetaji/dice-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thenetaji/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/noXzU9EwYo7bJQWms/builds/JixVoPLr8ZXRSU2Jo/openapi.json