Jobware Scraper: German Jobs, Company & Salary

Jobware Scraper · German Jobs, Company, Salary & URL Search · No Login

Extract job postings from jobware.de, a major German job board (over 300,000 live postings), and get clean structured data: title, company, location, employment type, remote flag, salary estimate and full description. No login, no browser, no proxy.

At a glance

What you get	Job postings from Jobware: title, company, city, region, remote, salary range, employment type, dates, full description.
Price	$2.00 per 1,000 postings: a 50-posting test run costs about $0.11, start fee included.
Speed	50 postings in about 25 seconds. No login, no proxy, no browser to configure.
Try it	Click Try for free, fill the short form (or paste a jobware.de search URL) and run: the first 50 postings arrive in under a minute.
Keep it fresh	Schedule it daily and keep only the new postings: see "Monitor new postings daily" below.

What you can do with it

• Monitor the German job market: new postings by job title, location or both, across every occupation.
• Feed a job alert or an aggregator: run it daily and get the newest postings, deduplicated by their stable numeric id.
• Find companies that are hiring: which employers recruit for a given role right now, with city, region and the company's own website.
• Screen for salary and remote work: salary estimate and a remote flag come pre-parsed instead of a block of free text to re-read yourself.
• Paste a search URL: copy a search results URL straight from jobware.de (for example https://www.jobware.de/jobs?q=entwickler&l=Berlin) and get exactly what that search shows, no need to re-enter keywords and location.

Input

Field	What it does
Keywords	Job title or skill, for example entwickler or pflege. Leave empty to get postings across every occupation.
Location	City or German state (Bundesland), for example Berlin or Bayern. Leave empty for all of Germany.
Search URLs (optional)	One or more search result URLs copied from jobware.de. Their own keywords/location are used, ahead of the fields above.
Maximum number of postings	The run stops once this many postings are saved (default 50).

Example input:

{
  "keywords": "entwickler",
  "location": "Berlin",
  "maxItems": 50
}

Example input, pasting a search URL instead:

{
  "searchUrls": ["https://www.jobware.de/jobs?q=entwickler&l=Berlin"],
  "maxItems": 50
}

Output

One record per posting:

{
  "id": "064653816",
  "url": "https://www.jobware.de/job/it-leiter-m-w-d-064653816",
  "title": "IT-Leiter (m/w/d)",
  "companyName": "Dr. Maier + Partner GmbH Executive Search",
  "companyUrl": "http://www.drmaier-partner.de",
  "city": "Heidelberg",
  "postalCode": "69120",
  "region": "Baden-Württemberg",
  "remote": true,
  "employmentType": "FULL_TIME",
  "salaryMin": 150000,
  "salaryMax": 150000,
  "salaryPeriod": "YEAR",
  "salaryCurrency": "EUR",
  "datePosted": "Fri Oct 16 10:58:45 CEST 2026",
  "validThrough": "Tue Dec 15 23:59:59 CET 2026",
  "description": "IT-LEITER (w/m/d)\nIT strategisch gestalten - industrielle Digitalisierung vorantreiben\n..."
}

Field	Type	Notes
id	string	Stable numeric id, stays the same across runs. Use it to deduplicate.
url	string	Canonical posting URL on jobware.de.
title	string	Job title as published.
companyName	string	Hiring company, including recruitment agencies when the employer uses one.
companyUrl	string	Hiring company's own website, when published.
city, postalCode, region	string	Work location. Empty when the posting gives no precise place.
locationLabel	string	city and region combined the way the page shows them.
country	string	ISO 3166-1 alpha-2 country code (DE).
confidentialCompany	boolean	true when the employer is not named (companyName then empty).
remote	boolean	true when the posting is flagged as remote-friendly (TELECOMMUTE).
employmentType	string	schema.org value, for example FULL_TIME or PART_TIME.
salaryMin, salaryMax, salaryPeriod, salaryCurrency	number / string	Pay range from the posting's own structured data. Empty when the posting carries none.
datePosted	string	Publication date as published by the site.
validThrough	string	Date the posting expires, as published by the site.
description	string	Full job description as plain text.
experienceLevel, industry, skills	string / string[]	Not published by jobware.de on any posting checked so far: always empty. Kept for a common schema across our job-posting Actors.
source	string	Always jobware.de.
sourceId	string	Same value as id on this Actor (one source, already globally unique).
scrapedAt	string	ISO 8601 timestamp of when this record was extracted.

locationLabel, country, confidentialCompany, experienceLevel, industry, skills, source, sourceId and scrapedAt were added on top of the fields above (never removing or renaming one) to match the common schema shared by our job-posting Actors.

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Good to know

• Salary is jobware's own estimate, not always the employer's figure. jobware fills in a baseSalary on most postings to satisfy Google's job-schema requirements, even when the employer never disclosed a real number. Treat salaryMin/salaryMax as a market estimate, not a confirmed offer.
• Some postings omit salary or a precise city; the matching fields are then empty rather than guessed.
• No browser and no proxy needed: runs are fast and cheap.
• The dataset contains job postings only. Any line that carries a named recruiter's signature, e-mail or direct phone number is removed from the description before it is saved; the hiring company's own name, address and application e-mail are kept only when they are not tied to a named individual.

Auf Deutsch

Dieser Actor liest Stellenanzeigen von Jobware aus: Titel, Unternehmen, Stadt, Region, Homeoffice, Gehaltsspanne, Anstellungsart, Datum und vollständige Beschreibung, als JSON, CSV oder Excel. Geeignet für Job-Alerts nach Beruf und Ort, Jobbörsen und Gehaltsanalysen. Kein Login, kein Proxy nötig.

Why this one

• Priced under every current jobware.de scraper on the Store. Existing jobware actors charge $3.60 to $8.75 per 1,000 results; this one is $2.00 per 1,000.
• Salary and remote flag as structured fields, not buried in free text: salaryMin/salaryMax/salaryCurrency and a remote boolean come pre-parsed from the posting's own schema.org data.
• Keyword and location filters together, so you can target a role in a specific city or region in one run instead of scraping everything and filtering yourself.
• Pay only for what you get. Priced per result, with no monthly rental and platform usage included.

Who uses it

• Recruiting agencies and HR teams watch which companies hire, for which roles and at which salary, in their market.
• Job boards and aggregators feed their own site with fresh postings in a stable schema, without maintaining a parser.
• B2B sales and lead generation: a company that is hiring is a company that is buying. Filter postings by role to spot prospects early.
• Labour-market research: salaries, skills in demand, remote share and hiring volume over time.

Pricing

Pay per result: $2.00 per 1,000 postings, plus $0.01 per run start with the default 4 GB of memory. For example, 100 postings cost about $0.21. You only pay for the postings you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/jobware-scraper').call({
  searchUrls: ['https://www.jobware.de/jobs?q=entwickler&l=Berlin'],
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/jobware-scraper").call(run_input={
    "searchUrls": [
        "https://www.jobware.de/jobs?q=entwickler&l=Berlin"
    ],
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the id field if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy for Jobware? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Need another site, a missing field or a new filter? Open an issue in the Issues tab and say what you need, with an example URL if you have one. Requests are read, and the most asked ones are built next.

Need a custom version built for you? I also build private versions and custom scrapers: another site, extra fields, a specific output format, or delivery straight to Google Sheets, a database or a webhook. Open an issue in the Issues tab with what you need and an example URL, and I will reply there with a quote.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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