Jobware.de Job Scraper - German Professional Jobs

The NanoScrape Jobware.de Scraper is an Apify actor that extracts job listings from jobware.de. It returns 38 fields per result including title, company, location, company_description, company_rating, priced at $8.75/1k job, with no API key or monthly subscription required.

Jobware.de (Professional, Germany): Germany's premium job portal for professionals (source platform). Apply emails, contact persons, salary, and requirements extracted. HTTP-only, fast.

Open on Apify →

Pricing

$8.75 / 1,000 job detail result

Runtime

Cloud (Apify)

Proxy

Datacenter

Coverage

What you can scrape — 38 fields per result

Field	Type	Example	Group	Fill %
`id`	string	jw-2048832005	Core	100%
`title`	string	Software Engineer (m/w/d)	Core	100%
`source_url`	string \| null	https://www.jobware.de/job/software-engineer-m-w-d.2048832005.html	Core	100%
`source_platform`	string	jobware.de	Core	100%
`apply_url`	string \| null	https://www.jobware.de/apply/zBXNqSAJ1WoLI7-WGZgiTpvDcFnN07y1hy3n1MwW1HCAGQGWZKBjoe7e46...	Core	100%
`company_url`	string \| null	(populated when data available)	Core	—
`company_social_urls`	object \| null	(populated when data available)	Core	—
`company_logo_url`	string \| null	(populated when data available)	Core	—
`company`	string \| null	Akkodis Germany Tech Experts GmbH	Company	100%
`company_description`	string \| null	(populated when data available)	Company	—
`company_rating`	number \| null	(populated when data available)	Company	—
`company_review_count`	number \| null	(populated when data available)	Company	—
`company_benefits`	array \| null	(populated when data available)	Company	—
`location`	string	Bremen	Location	100%
`country`	string	DE	Location	100%
`description_snippet`	string \| null	Software Engineer (m/w/d) Unternehmen: Akkodis Germany Tech Experts GmbH Arbeitszeitm...	Description	100%
`description_full`	string \| null	Software Engineer (m/w/d) Unternehmen: Akkodis Germany Tech Experts GmbH Arbeitszeitm...	Description	18%
`salary_text`	string \| null	(populated when data available)	Salary	—
`employment_type`	string \| null	full-time	Employment	100%
`remote_option`	string \| null	(populated when data available)	Employment	27%
`requirements`	array	`["Angestellter o. Leitungsfunktion", "Informationstechnologie, TK", "IT/TK Softw`	Requirements	18%
`posted_at`	string \| null	2026-09-10T06:21:56.000Z	Metadata	100%
`scraped_at`	string	2026-09-14T06:20:14.760Z	Metadata	100%
`canton`	string \| null	HB	Other	58%
`job_status`	string \| null	online	Other	100%
`top_listing`	boolean \| null	(populated when data available)	Other	—
`workload_min`	number \| null	`100`	Other	18%
`workload_max`	number \| null	`100`	Other	18%
`expires_at`	string \| null	2026-10-09T21:59:59.000Z	Other	18%
`contact_salutation`	string \| null	(populated when data available)	Other	—
`contact_firstname`	string \| null	(populated when data available)	Other	—
`contact_lastname`	string \| null	(populated when data available)	Other	—
`contact_email`	string \| null	(populated when data available)	Other	—
`contact_phone`	string \| null	(populated when data available)	Other	—
`contact_position`	string \| null	(populated when data available)	Other	—
`contact_raw`	string \| null	(populated when data available)	Other	—
`apply_email`	string \| null	(populated when data available)	Other	58%
`search_query`	string \| null	Software Engineer	Other	100%

Input example — showcase (full detail)

{
  "includeDetails": true,
  "maxResults": 30,
  "maxResultsPerQuery": 10
}

Output example — real dataset item (PII scrubbed)

{
  "id": "jw-2048832005",
  "title": "Software Engineer (m/w/d)",
  "company": "Akkodis Germany Tech Experts GmbH",
  "location": "Bremen",
  "canton": "HB",
  "job_status": "online",
  "top_listing": null,
  "employment_type": "full-time",
  "workload_min": 100,
  "workload_max": 100,
  "remote_option": null,
  "salary_text": null,
  "description_snippet": "Software Engineer (m/w/d)\n\nUnternehmen: Akkodis Germany Tech Experts GmbH\n\nArbeitszeitmodell: Vollzeit\n\nArbeitsort: Bremen (DE)\n\nStellenbeschreibung:\nAkkodis ist ein globales Beratungsunternehmen für Digital Engineering, das Technologie und Talente zusammenbringt, um Transformation zu beschleunigen, Innovation voranzutreiben und eine intelligentere Zukunft zu gestalten. Mit mehr als 40.000 Expert:innen in über 30 Ländern verbinden wir Branchen und Technologien miteinander - von AI und Data Analy",
  "description_full": "Software Engineer (m/w/d)\n\nUnternehmen: Akkodis Germany Tech Experts GmbH\n\nArbeitszeitmodell: Vollzeit\n\nArbeitsort: Bremen (DE)\n\nStellenbeschreibung:\nAkkodis ist ein globales Beratungsunternehmen für Digital Engineering, das Technologie und Talente zusammenbringt, um Transformation zu beschleunigen, Innovation voranzutreiben und eine intelligentere Zukunft zu gestalten. Mit mehr als 40.000 Expert:innen in über 30 Ländern verbinden wir Branchen und Technologien miteinander - von AI und Data Analytics bis zu Cloud, Edge, Automatisierung und Cybersecurity. \n Stellenbeschreibung \n - Selbstständige und ganzheitliche Umsetzung definierter Softwarearchitekturelemente unter Berücksichtigung vorgegebener Prozesse und Qualitätsstandard \n - Planung, Bewertung und Implementierung aller Aktivitäten zur Realisierung der Architekturelemente \n - Unterstützung bei Planung und Umsetzung des Workpackages sowie kontinuierlicher Prozessverbesserung \n - Abstimmung im Team zu Aufgaben, Herausforderungen und Lösungsansätzen \n - Überprüfung der Architekturelemente auf Zeit-, Kosten- und Qualitätsvorgaben \n Profil \n - Erfolgreich abgeschlossenes Hochschulstudium im MINT-Bereich oder eine Berufsausbildung zum Fachinformatiker (m/w/d) mit Fachschulausbildung \n - Einschlägige Berufserfahrung in der Softwareentwicklung \n - Teamorientierte Arbeitsweise und Erfahrung mit agilen Methoden im Softwareentwicklungsumfeld \n - Fundierte Kenntnisse in der Entwicklung mit modernem C++. \n - Wünschenswert: Erfahrung in Python \n Das Angebot \n - Attraktive Vergütung und zusätzliche Sozial-/Zusatzleistungen \n - Vielfältige Weiterbildungs- und Entwicklungsmöglichkeiten \n - Vergünstigungen & Mitarbeiterrabatte über Partnerprogramme \n - Familien- und Gesundheitsangebote - z. B. Job Bike, Sport- und Präventionsplattformen \n - Großes internationales Netzwerk mit spannenden Einsatz- und Projektmöglichkeiten \n\nInhalt: © Bundesagentur für Arbeit − Referenznummer: 12634-BB-645028-7878-2363-S",
  "requirements": [
    "Angestellter o. Leitungsfunktion",
    "Informationstechnologie, TK",
    "IT/TK Softwareentwicklung",
    "Softwareentwicklung"
  ],
  "posted_at": "2026-09-10T06:21:56.000Z",
  "expires_at": "2026-10-09T21:59:59.000Z",
  "source_url": "https://www.jobware.de/job/software-engineer-m-w-d.2048832005.html",
  "source_platform": "jobware.de",
  "contact_salutation": null,
  "contact_firstname": null,
  "contact_lastname": null,
  "contact_email": null,
  "contact_phone": null,
  "contact_position": null,
  "contact_raw": null,
  "apply_url": "https://www.jobware.de/apply/zBXNqSAJ1WoLI7-WGZgiTpvDcFnN07y1hy3n1MwW1HCAGQGWZKBjoe7e46ORB5w62n322MAlePEFr0i5iyGuX9r1qN0kM5njT2DCtHVqjlrJMW2nLO6XXcdHH-3_Jn3j2Q",
  "apply_email": null,
  "company_url": null,
  "company_description": null,
  "company_rating": null,
  "company_review_count": null,
  "company_social_urls": null,
  "company_logo_url": null,
  "company_benefits": null,
  "search_query": "Software Engineer",
  "country": "DE",
  "scraped_at": "2026-09-14T06:20:14.760Z"
}

Cost math

Priced at $0.0088 per job detail result. 10 job detail results ≈ $0.09, 100 ≈ $0.88, 1,000 ≈ $8.75. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Who should use this

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 jobware-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~jobware-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/jobware-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/jobware-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/jobware-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/jobware-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/jobware-de-scraper

Example prompt once connected:

"Use <code>jobware-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/jobware-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~jobware-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~jobware-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~jobware-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~jobware-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.

FAQ

How much does the jobware-de-scraper cost?

$8.75 / 1,000 job detail result, billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

38 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

Do I need an API key from the source platform?

No. This actor reads public pages over HTTP with datacenter proxies. No API key, no OAuth, no rate-limit management on your side.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.

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