Meinestadt Scraper · No Login, All Cities

Scrape job postings from meinestadt.de's Stellenmarkt, a German local classifieds network with its own job board for every city, and get clean structured data: title, company, address, salary, employment type, skills, benefits and full description — no login, no browser.

What you can do with it

• Scan several German cities in one run. Pass any list of meinestadt.de city slugs; 14 major cities are scanned by default.
• Track local hiring. Postings carry a stable numeric ID and a public URL for deduplication across daily runs.
• Benchmark pay by city. salaryMin/salaryMax/salaryPeriod carry the employer's own published or site-estimated range, when disclosed.
• Filter by role. Keywords match the title and company, so you can narrow a run to a trade without rescraping everything.

Input

Field	What it does
Cities	meinestadt.de city slugs, for example berlin or frankfurt-am-main. Empty means 14 major German cities.
Keywords	Words that must all appear in the title or company, for example lager. Accents and case are ignored. Empty means every posting.
Maximum number of postings	The run stops once this many postings are saved (default 50).
Include full descriptions	Adds the full job description as plain text.

Example input:

{
  "cities": ["berlin", "hamburg"],
  "keywords": "lager",
  "maxItems": 50,
  "includeDescriptions": true
}

Output

One record per posting:

{
  "id": "100015809611",
  "url": "https://jobs.meinestadt.de/berlin/premium?id=100015809611",
  "title": "Quereinsteiger / Mitarbeiter (m/w/d) Medizinprodukteaufbereitung",
  "companyName": "INSTRUCLEAN GmbH",
  "street": "Nunsdorfer Ring",
  "postalCode": "10178",
  "city": "Berlin",
  "region": null,
  "country": "Deutschland",
  "salaryMin": 29700,
  "salaryMax": 37319,
  "salaryCurrency": "EUR",
  "salaryPeriod": "year",
  "salaryEstimated": null,
  "employmentType": "Vollzeit",
  "skills": ["DIN", "EN ISO 13485", "ISO-Normen", "Quereinsteiger"],
  "benefits": ["Job-Rad", "Betriebliche Altersvorsorge", "Sorgfältige Einarbeitung", "Weiterbildungsmaßnahmen"],
  "quickApply": false,
  "datePosted": "2026-10-20",
  "validThrough": "2026-12-12",
  "description": "Fachgerechte Aufbereitung von Medizinprodukten..."
}

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

Why this one

• Several cities per run, not one. Most alternatives on the Store scrape a single city at a time; this one takes a list and dedupes across it.
• Clean numeric salary, not a text chip. The site shows salary as a display chip (e.g. "3.083 € - 3.961 €/Monat"); this actor reads the posting's own structured baseSalary data instead and only falls back to the chip when a posting has none.
• No browser, no proxy. meinestadt.de's listing and posting pages are read directly over HTTPS with realistic headers, so a 50-posting run finishes in well under a minute.

Good to know

• meinestadt.de's own pagination (?page=) and keyword-search parameter are both disallowed by the site's robots.txt for every robot, so this actor widens coverage by scanning more cities instead of paging through one city, and matches keywords locally once a page is fetched.
• Postings come from the city's current results page, so a run with a short city list and a modest maxItems stays fast and cheap.
• The dataset contains job postings only. No personal contact details of individual recruiters or applicants are collected — only company names, which are public employer information.

Pricing

Pay per result: $2.00 per 1,000 postings, plus $0.00005 per run start. For example, 100 postings cost about $0.20. You only pay for the postings you receive, and platform usage is included in that price.

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/meinestadt-jobs-scraper').call({
  cities: ['berlin', 'hamburg'],
  maxItems: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/meinestadt-jobs-scraper").call(run_input={
    "cities": ["berlin", "hamburg"],
    "maxItems": 100
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Frequently asked questions

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

How do I cover more of Germany? Add more city slugs to the cities input; use the slug from the city's own jobs.meinestadt.de/<city> address.

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

Can I connect it to Make, Zapier, n8n or Google Sheets? Yes, through Apify integrations and webhooks.

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.

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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