# Arbeitnow Jobs Scraper (`zerobreak/arbeitnow-jobs-scraper`) Actor

Arbeitnow Jobs Scraper is a Python tool to extract job titles, company names, locations, remote availability, and posting dates from the European job board. It exports structured employment datasets into clean CSV or JSON formats for recruitment analytics and job market research.

- **URL**: https://apify.com/zerobreak/arbeitnow-jobs-scraper.md
- **Developed by:** [ZeroBreak](https://apify.com/zerobreak) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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

### Arbeitnow Jobs Scraper — European and Remote Job Listings

![Arbeitnow Jobs Scraper cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/arbeitnow-jobs-scraper-cover.png)

### Overview

Collect public job listings from Arbeitnow in a structured format. This actor retrieves European and remote job opportunities, with options to filter by keyword or remote status and limit the number of results.

Each dataset item contains job details such as the title, company, description, location, tags, job types, remote status, and listing link. Export your results as JSON, CSV, Excel, or other supported dataset formats.

### Features

- Collect job listings from Arbeitnow.
- Filter listings using an optional keyword.
- Retrieve remote-only opportunities.
- Set a maximum number of results per run.
- Extract company, job title, location, and description.
- Collect job tags, job types, and creation timestamps.
- Export structured results in multiple formats.
- Schedule recurring runs to monitor new opportunities.

### Collection Mode

**Job Board Feed**

Collects job listings from the Arbeitnow job board and returns one structured dataset item per listing.

### Use Cases

- **European Job Monitoring:** Regularly collect job listings to track available opportunities.
- **Remote Job Shortlists:** Focus on positions marked as remote.
- **Keyword-Based Job Search:** Find listings matching relevant keywords.
- **Recruiting Research:** Organize company names, job titles, locations, and listing links.
- **Job Market Analysis:** Analyze job types, locations, and hiring trends.
- **Spreadsheet Workflows:** Export collected listings to CSV or Excel for further analysis.

### Input Parameters

| Parameter | Type | Description |
|---|---|---|
| `mode` | String | Collection mode. Use `jobs` to collect job listings. |
| `keyword` | String | Optional keyword filter. Leave empty to collect without keyword filtering. |
| `remoteOnly` | Boolean | Set to `true` to collect remote-only listings. |
| `maxItems` | Integer | Maximum number of successful listings to collect. Default: 100; maximum: 1,000. |
| `requestDelaySecs` | Number | Delay between requests. |

### Example Input

```json
{
  "mode": "jobs",
  "keyword": "",
  "remoteOnly": false,
  "maxItems": 50,
  "requestDelaySecs": 1
}
```

### What Data Does This Actor Extract?

| Field | Description |
|---|---|
| `slug` | Unique job listing slug. |
| `company_name` | Company offering the position. |
| `jobTitle` | Job title. |
| `summaryText` | Job description or summary text. |
| `remote` | Indicates whether the position is remote. |
| `url` | Link to the job listing. |
| `tags` | Categories or tags associated with the job. |
| `job_types` | Employment types associated with the listing. |
| `location` | Job location. |
| `created_at` | Listing creation timestamp. |
| `scraped_at` | Date and time the listing was collected. |

### Example Output

```json
{
  "slug": "werkstudent-in-im-einkauf-materialbeschaffung-munchen-129850",
  "company_name": "Technica Engineering GmbH",
  "jobTitle": "Werkstudent: in im Einkauf / Materialbeschaffung (m/w/d)",
  "summaryText": "Stellenbeschreibung truncated for docs",
  "remote": false,
  "url": "https://www.arbeitnow.com/jobs/companies/technica-engineering-gmbh/werkstudent-in-im-einkauf-materialbeschaffung-munchen-129850",
  "tags": [
    "Administration",
    "Facilities & Purchase Dep. 2026"
  ],
  "job_types": [
    "Student college",
    "parttime fixed term"
  ],
  "location": "München, Bayern, Germany",
  "created_at": 1791772229,
  "scraped_at": "2026-10-26T00:00:00+00:00"
}
```

### Working with Your Dataset

After the run finishes, open the **Dataset** tab to view the collected job listings.

You can export your results in formats such as:

- JSON
- CSV
- Excel
- XML
- HTML

Use the exported data to build job trackers, analyze hiring trends, organize recruiting research, or maintain searchable job lists.

### FAQ

**Who is this actor for?**

It is useful for recruiters, job seekers, researchers, and developers who need structured European and remote job listings.

**Can I collect only remote jobs?**

Yes. Set `remoteOnly` to `true` to filter for listings marked as remote.

**Can I filter listings by keyword?**

Yes. Provide a keyword to narrow the collected listings. Leave it empty to collect without a keyword filter.

**Can I schedule recurring runs?**

Yes. Use Apify Schedules to run the actor automatically at your preferred interval.

**How many listings can one run collect?**

The `maxItems` setting controls the collection limit. Its default is 100, with a maximum of 1,000 successful listings per run.

**What export formats are supported?**

You can export your dataset in JSON, CSV, Excel, and other supported formats.

### Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or officially associated with Arbeitnow or its owners. It collects publicly available job listing information. Users are responsible for ensuring that their use of the collected data complies with applicable laws and relevant terms of use.

### Is Web Scraping Legal?

Collecting information that is already public is generally legal. There is no single law that bans all forms of web scraping. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.

This actor collects information from public pages. It does not log in and it does not bypass access controls.

For a longer explanation, see Apify's article [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/).

# Actor input Schema

## `mode` (type: `string`):

What to scrape. Job board feed paginates Arbeitnow's public job board API.

## `keyword` (type: `string`):

Keep only jobs whose title, company, tags, or summary contain this text.

## `remoteOnly` (type: `boolean`):

Keep only jobs where remote is true.

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

Stop after this many successful rows. Hard max is 1000.

## `requestDelaySecs` (type: `number`):

Seconds to wait before each request.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

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

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "jobs",
  "keyword": "",
  "remoteOnly": false,
  "maxItems": 100,
  "requestDelaySecs": 1,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset rows in the overview table.

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

Full dataset for this run.

## `items` (type: `string`):

Dataset items as JSON.

# 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("zerobreak/arbeitnow-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("zerobreak/arbeitnow-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 '{}' |
apify call zerobreak/arbeitnow-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zerobreak/arbeitnow-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/62n81o2PcZWb9Itma/builds/86FqQIv5gTkrD47e2/openapi.json