NiceJob.de Scraper - German Regional Jobs with Workload and Agency Filters

Scrape job listings from NiceJob.de, a German regional job portal. Filter by location, workload percentage (Pensum), and company type. Exclude recruitment agencies to get direct employer postings only. Supports multiple search queries in one run with automatic deduplication. $3.00 per 1,000 jobs.

Open on Apify → Read the tutorial

Pricing

$3.00 / 1,000 jobs

Runtime

Cloud (Apify)

Proxy

Residential

Auth

None required

Coverage

Germany (St. Gallen / Thurgau region focus)

Runtime type

HTTP-only via official Ostjob API

What You Get

title, company, location — with canton and city auto-resolved from any location string via the API
workload_min / workload_max — Pensum percentage as structured integers; filter at input time with workloadMin / workloadMax
salary_text and salary range — extracted from job bodies where disclosed by the employer
contact_person / contact_email / contact_phone — HR contact details parsed from job descriptions
company_description / company_benefits / company_social_urls — employer profile enrichment
HR company filter — companyFilter: exclude-hr removes staffing agencies; only-hr surfaces them exclusively
job_status — online / offline for still-alive URL checks
multi-query deduplication — run Informatiker, Softwareentwickler, and Programmierer in one call; duplicates removed automatically

Input Example

{
  "searchQueries": ["Informatiker", "Softwareentwickler"],
  "location": "St. Gallen",
  "maxResultsPerQuery": 100,
  "workloadMin": 80,
  "sortBy": "by_date",
  "companyFilter": "exclude-hr"
}

Output Example

{
  "id": "nicejob-98765",
  "title": "IT-Systemadministrator (m/w/d) 80-100%",
  "company": "Musterfirma GmbH",
  "location": "Konstanz",
  "country": "DE",
  "workload_min": 80,
  "workload_max": 100,
  "salary_text": "60.000 - 75.000 EUR / Jahr",
  "employment_type": "full-time",
  "contact_person": "Maria Weber",
  "contact_email": "[email protected]",
  "company_description": "Wir sind ein mittelstandisches IT-Unternehmen...",
  "company_benefits": ["Homeoffice", "Weiterbildungsbudget", "Firmenfahrzeug"],
  "job_status": "online",
  "posted_at": "2026-08-29T00:00:00Z",
  "source_platform": "nicejob.de",
  "search_query": "Informatiker",
  "scraped_at": "2026-09-01T08:00:00Z"
}

Who Should Use This

Regional recruitment agencies and job boards covering the German-speaking border region between Baden-Wurttemberg and Switzerland rely on NiceJob.de for localized postings that larger national boards do not surface. The Pensum workload filter matches the German part-time employment market, where many Teilzeit postings state a percentage range rather than hours per week. Direct employer outreach teams use companyFilter: exclude-hr to strip competing staffing agencies from results, leaving only contacts at hiring companies. Job monitoring pipelines use direct URL mode to verify whether previously scraped listings are still active, keeping downstream databases clean without re-crawling the full site.

Integrations

n8n / Make / Zapier — trigger runs and process results via webhook
AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
Python / Node.js — Apify SDK for programmatic access
Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run nicejob-de-scraper in your browser - no code, no install. In the Apify console you get:

One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

Sign up for a free Apify account (Google, GitHub, or email).
Go to Settings → Integrations → API tokens.
Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~nicejob-de-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/nicejob-de-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/nicejob-de-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/nicejob-de-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/nicejob-de-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/nicejob-de-scraper

Example prompt once connected:

"Use <code>nicejob-de-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
Set Actor to santamaria-automations/nicejob-de-scraper.
Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).

Create a new Zap with any trigger.
Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~nicejob-de-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Body: your input JSON. Content-Type: application/json.

Create a new scenario.
Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~nicejob-de-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
Parse the response with a JSON module to iterate items downstream.

Create a new workflow.
Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~nicejob-de-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Access steps.http.$return_value in subsequent steps.

Install the API Connector plugin.
Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~nicejob-de-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
Initialize the call with your input, then reference the response array in workflow actions.