# NiceJob.de Scraper — Southern Germany Job Listings (`studio-amba/nicejob-scraper`) Actor

Scrape job listings, companies, locations, regions and workload from nicejob.de, the leading job board for Southern Germany, Switzerland and Liechtenstein. Search by German keyword and filter by city or region.

- **URL**: https://apify.com/studio-amba/nicejob-scraper.md
- **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 result scrapeds

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## NiceJob.de Scraper

Extract job listings from [nicejob.de](https://www.nicejob.de), the leading job board for Southern Germany, with partner coverage across Switzerland and Liechtenstein (nicejob.de shares its listing network with sibling portals such as ostjob.ch). Search by keyword, filter by city or region, and get job titles, companies, workplaces, workload percentages, regions and direct links in one run.

No login. No cookies. No browser automation. The actor talks to the same public JSON API the nicejob.de website uses, so it is fast and stable.

### What this actor does

Given a search keyword (and optionally a city or region), this actor collects every matching job listing from nicejob.de and returns one row per job with:

- Job title
- Hiring company
- Workplace / city
- Region (German federal state, Swiss canton, or Liechtenstein/Austrian region)
- Country (derived from the postal code — Germany or Switzerland/Liechtenstein)
- Workload range (employment grade, e.g. 80–100%)
- Short preview of the description
- First-published date
- Home office / remote flag
- The job's unique ID and direct URL

nicejob.de markets itself as Southern Germany's leading job portal, but its listing database is shared with a wider DACH partner network — in practice a search returns openings across Southern Germany, Switzerland and Liechtenstein. This actor exposes a `country` field so you can filter to German-only results downstream if that's what you need.

### Why use it

- **Regional job market research** — track how many roles match a keyword across Southern Germany or a single city/region.
- **Recruitment and sourcing** — build a live feed of open positions for a role, region, or company near the German-Swiss border area.
- **Workload benchmarking** — analyse employment-grade ranges across employers and roles.
- **Aggregators and job boards** — feed regional DACH listings into your own product.

### How to scrape NiceJob data

1. Open the actor and set a **Search Query** (for example `informatik`, `verkauf`, `lehrstelle` or `pflege`). nicejob.de is German-language, so German keywords work best.
2. Optionally set a **Location** such as `München`, `St. Gallen`, `Bayern` or `Vorarlberg`. Leave it empty to search the whole network.
3. Set **Max Results** to how many listings you want.
4. Leave the proxy on the default residential setting and click **Start**.

The actor pages through the nicejob.de search API (up to 100 results per request) until it reaches your Max Results or runs out of listings, then writes everything to the dataset. You can export the result as JSON, CSV or Excel.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchQuery` | string | Keyword to search for. German keywords work best. Default: `informatik`. |
| `location` | string | City or region filter (e.g. `München`, `St. Gallen`, `Bayern`). Matched against each listing's city and region. Empty = the whole network. |
| `maxResults` | integer | Maximum number of listings to return. Default: `100`. |
| `proxyConfiguration` | object | Apify proxy settings. Default: residential. |

#### Example input

```json
{
    "searchQuery": "informatik",
    "location": "München",
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}
```

### Output

Each dataset item looks like this:

```json
{
    "jobTitle": "Mitarbeiter*in Aussendienst Verkauf Küchen (w/m/d)",
    "company": "Beispiel GmbH",
    "location": "München",
    "employmentGradeMin": 80,
    "employmentGradeMax": 100,
    "preview": "Wir suchen per sofort oder nach Vereinbarung eine engagierte Persönlichkeit...",
    "publishedDate": "2026-08-05T10:54:28.904+02:00",
    "homeOffice": false,
    "region": "Bayern",
    "country": "DE",
    "jobId": "1089405",
    "url": "https://www.nicejob.de/job/1089405",
    "scrapedAt": "2026-08-05T11:00:00.000Z"
}
```

#### Output fields

| Field | Type | Description |
|-------|------|-------------|
| `jobTitle` | string | Title of the job listing |
| `company` | string | Name of the hiring company |
| `location` | string | City or place of work |
| `employmentGradeMin` | number | Minimum workload percentage (e.g. 80) |
| `employmentGradeMax` | number | Maximum workload percentage (e.g. 100) |
| `preview` | string | Short teaser of the job description |
| `publishedDate` | string | ISO 8601 first-published date |
| `homeOffice` | boolean | Whether remote / home office work is offered |
| `region` | string | German federal state, Swiss canton, or Liechtenstein/Austrian region the workplace is located in |
| `country` | string | `DE` or `CH/LI`, derived from the workplace postal code shape. Empty if undetermined. |
| `jobId` | string | Unique nicejob.de vacancy identifier |
| `url` | string | Full job listing URL |
| `scrapedAt` | string | ISO 8601 timestamp of collection |

### Cost estimate

This actor uses a lightweight JSON API and no browser, so runs are cheap and fast. One request returns up to 100 listings, so even a few thousand jobs cost only a handful of requests plus proxy traffic. Exact cost depends on your Apify plan and proxy usage.

Usage cost only settles once the run reports **SUCCEEDED** — reading the dataset mid-run undercounts what you'll actually be charged, so wait for the run to finish before checking cost.

### Limitations

- **Salary** is not published in the nicejob.de search API, so it is not included. The actor returns the workload percentage (employment grade) instead, which is what nicejob.de exposes.
- **Coverage spans the DACH partner network, not just Germany.** nicejob.de shares its listing database with partner portals in Switzerland and Liechtenstein, so an unfiltered search returns openings across all three. Use the `country` output field or the `location` input to narrow to German results.
- **Location filtering is client-side.** nicejob.de's own location filter needs an internal geocoded place ID rather than free text, so this actor matches your `location` input against each listing's city and region after fetching. This is reliable for region names and common city names, but very unusual spellings may not match.
- Full job descriptions are not fetched; the `preview` field holds a teaser extracted from the listing's activity text.
- Very broad keywords covering thousands of jobs take proportionally longer to page through.

### Related scrapers

Building a European jobs dataset? These sibling actors follow the same clean-JSON approach:

- **Ostjob.ch Scraper** — Eastern Switzerland's regional job board
- **Jobbasel Scraper** — Basel-region job listings
- **Zentraljob Scraper** — Central Switzerland job listings
- **Jobs.ch Scraper** — Switzerland's largest, nationwide job board
- **Jobs.cz Scraper** — Czech job listings

### Disclaimer

This actor collects publicly available data from nicejob.de for legitimate research and aggregation use. Respect nicejob.de's terms of service and applicable data protection law when using the output.

# Actor input Schema

## `searchQuery` (type: `string`):

Keyword to search for (e.g. 'informatik', 'verkauf', 'lehrstelle', 'pflege'). nicejob.de is a German-language board, so German keywords work best.

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

Filter by city or region (e.g. 'München', 'St. Gallen', 'Bayern', 'Vorarlberg'). Matched client-side against each listing's city and region. Leave empty to search the whole network.

## `maxResults` (type: `integer`):

Maximum number of job listings to return.

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

Proxy settings. nicejob.de's public API is not geo-locked; residential proxies are the most reliable default.

## Actor input object example

```json
{
  "searchQuery": "informatik",
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "searchQuery": "informatik",
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("studio-amba/nicejob-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 = {
    "searchQuery": "informatik",
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("studio-amba/nicejob-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "searchQuery": "informatik",
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call studio-amba/nicejob-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=studio-amba/nicejob-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xZdiStzA1InSzfHjC/builds/vLhzIc3d8qI5QGqSn/openapi.json