# DACH ATS Jobs Search (Germany, Austria, Switzerland) (`nightowlbaba/dach-ats-jobs-search`) Actor

Search 70,000+ jobs from 2,200+ employer career sites in Germany, Austria and Switzerland (softgarden, d.vinci). Radius search by city or postal code, German/English keywords, only-new mode for daily alerts, closed-job tracking. Updated daily, no personal data.

- **URL**: https://apify.com/nightowlbaba/dach-ats-jobs-search.md
- **Developed by:** [Nightowl Baba](https://apify.com/nightowlbaba) (community)
- **Categories:** Jobs, Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 job returneds

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

## DACH ATS Jobs Search – Germany, Austria, Switzerland

Search **70,000+ open jobs from 2,200+ employer career sites** in Germany, Austria and Switzerland – straight from the companies' own applicant tracking systems (softgarden, d.vinci). No job board duplicates, no scraping setup, results in seconds.

### Why this Actor

- **Jobs you won't find on the big boards.** Many small and mid-sized employers (hospitals, care providers, Mittelstand, public utilities) only publish on their own career site. This Actor reads those sites daily.
- **Search by place and radius.** Enter a city or postal code ("München", "76133", "Wien") and a radius in km. Every job comes with postal code, coordinates and distance.
- **German and English keywords.** "Entwickler" also finds "Developer" and "Engineer", "Werkstudent" finds "Working Student". Gender suffixes like (m/w/d) are ignored.
- **Only new jobs.** Turn on *Only new jobs since my last run* and schedule the Actor daily: you get each job exactly once.
- **Closed jobs.** Jobs that disappear from a career site are marked `closed` with a `closedAt` date (kept for 30 days).
- **Clean data, no personal data.** One unified schema across all systems. Recruiter names and contact persons are never included.
- **Fast and cheap.** A search runs in about 10 seconds. You pay only for the jobs returned.

### Example input

```json
{
  "keywords": ["Pflegefachkraft", "Krankenpfleger"],
  "location": "Karlsruhe",
  "radiusKm": 30,
  "onlyNew": true,
  "stateKey": "nursing-karlsruhe"
}
```

Unknown or misspelled input fields cause a clear error instead of being silently ignored.

### Output

Example item (description shortened):

```json
{
  "id": "softgarden:60054360",
  "source": "softgarden",
  "portal": "kinderklinik-schoemberg.softgarden.io",
  "company": "Kinderklinik Schömberg gGmbH",
  "companyWebsite": "https://kinderklinik-schoemberg.de/",
  "industry": "Care Professions",
  "datePosted": "2026-10-22T16:02:42.131+02:00",
  "employmentType": [
    "other"
  ],
  "salary": null,
  "description": "Die Kinderklinik Schömberg gGmbH ist ein modernes neurologisches Fachkrankenhaus mit 62 Betten. Wir diagnostizieren und behandeln Kinder, Jugendliche und junge …",
  "firstSeenAt": "2026-10-30T18:03:15.561Z",
  "title": "Pflegefachkraft Springerpool",
  "category": [
    "Pflege, Therapie und Assistenz"
  ],
  "experienceLevel": null,
  "locations": [
    {
      "country": "DE",
      "postalCode": "75328",
      "city": "Schömberg",
      "region": "Baden-Württemberg",
      "lat": 48.7871,
      "lon": 8.645
    }
  ],
  "url": "https://kinderklinik-schoemberg.softgarden.io/job/60054360/Pflegefachkraft-Springerpool?l=de",
  "applyUrl": "https://kinderklinik-schoemberg.softgarden.io/job/60054360/Pflegefachkraft-Springerpool?l=de",
  "workModel": "onsite",
  "isActive": true,
  "lastSeenAt": "2026-10-30T23:52:44.757Z",
  "distanceKm": 30,
  "status": "active"
}
```

| Field | Description |
|---|---|
| `title`, `company`, `companyWebsite`, `industry` | Job and employer |
| `locations[]` | `country`, `postalCode`, `city`, `region`, `lat`, `lon` |
| `distanceKm` | Distance to your search location |
| `employmentType[]` | `full-time`, `part-time`, `temporary`, `internship`, `contract`, `other` |
| `experienceLevel` | `apprenticeship`, `student`, `entry`, `experienced`, `lead` (or null) |
| `workModel` | `remote`, `hybrid`, `onsite` |
| `salary` | `min`, `max`, `currency`, `period` when the employer publishes it |
| `datePosted`, `firstSeenAt`, `lastSeenAt` | Dates |
| `status`, `isActive`, `closedAt` | `new`, `active` or `closed` |
| `description` | Full text (can be switched off) |
| `url`, `applyUrl`, `alsoPostedAt[]` | Job page, application form, identical postings on other career sites |
| `source`, `portal`, `id` | Origin system and stable job ID |

### Pricing

Pay per event, no subscription:

| Event | Price (Free plan) | Discounted plans |
|---|---|---|
| Job returned | **$3.00 per 1,000 jobs** | down to $1.50 per 1,000 |
| Search run | $0.01 per run | $0.01 |

A daily job alert that returns 5 new jobs costs about $0.03 per day. With the $5 monthly free credit of the Apify Free plan you can try about 1,600 jobs for free. Set a maximum cost per run in the run options and the Actor stops when it is reached.

### Coverage and update frequency

- The index is refreshed **daily**.
- Systems: softgarden and d.vinci. More (Personio and others) are coming.
- The list of career sites is extended regularly.

### FAQ

**Can I use it for job alerts?** Yes: schedule it daily with `onlyNew: true` and connect the dataset to e-mail, Slack, Google Sheets or a webhook via Apify integrations.

**Is this legal?** The Actor only reads publicly available job postings that employers publish to be found, and it does not collect personal data.

**Something missing or wrong?** Please open an issue on the Issues tab, we usually answer within a day.

# Actor input Schema

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

Job title keywords. German and English variants are matched (e.g. "Entwickler" also finds "Developer"). Any keyword may match.

## `searchInDescription` (type: `boolean`):

Match keywords in the full description, not only the title.

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

City (e.g. "München", "Wien", "Zürich") or postal code (e.g. "76133").

## `radiusKm` (type: `integer`):

Only used with a location.

## `countries` (type: `array`):

Leave empty for all of DACH.

## `companies` (type: `array`):

Only jobs from companies whose name contains one of these.

## `postedWithinDays` (type: `integer`):

0 = no limit.

## `onlyNew` (type: `boolean`):

Returns only jobs this saved search has not returned before. Ideal for daily schedules.

## `stateKey` (type: `string`):

Use a different name for each scheduled search when using "Only new jobs".

## `includeClosed` (type: `boolean`):

Jobs removed from the career site during the last 30 days, with closedAt date.

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

Leave empty for all.

## `experienceLevels` (type: `array`):

Detected from the job title. Leave empty for all.

## `workModels` (type: `array`):

Detected from title and description. Leave empty for all.

## `withSalaryOnly` (type: `boolean`):

Only jobs where the employer publishes a salary.

## `sources` (type: `array`):

Leave empty for all.

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

You only pay for jobs returned.

## `includeDescription` (type: `boolean`):

Switch off for smaller, cheaper-to-process results.

## Actor input object example

```json
{
  "keywords": [
    "Pflegefachkraft"
  ],
  "searchInDescription": false,
  "location": "Karlsruhe",
  "radiusKm": 25,
  "postedWithinDays": 0,
  "onlyNew": false,
  "stateKey": "default",
  "includeClosed": false,
  "withSalaryOnly": false,
  "maxItems": 1000,
  "includeDescription": true
}
```

# Actor output Schema

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

Matching jobs (table view).

# 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": [
        "Pflegefachkraft"
    ],
    "location": "Karlsruhe"
};

// Run the Actor and wait for it to finish
const run = await client.actor("nightowlbaba/dach-ats-jobs-search").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": ["Pflegefachkraft"],
    "location": "Karlsruhe",
}

# Run the Actor and wait for it to finish
run = client.actor("nightowlbaba/dach-ats-jobs-search").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": [
    "Pflegefachkraft"
  ],
  "location": "Karlsruhe"
}' |
apify call nightowlbaba/dach-ats-jobs-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nightowlbaba/dach-ats-jobs-search"
        }
    }
}
```

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/Ozj7GzJn3B6i35CpT/builds/jkWMjSguO14rtuuaz/openapi.json