MeineStadt.de Job Scraper - German Regional Jobs

The NanoScrape Meinestadt Scraper is an Apify actor that extracts job listings from meinestadt.de. It returns 45 fields per result including title, company, location, company_description, company_rating, priced at $8.5/1k job, with no API key or monthly subscription required.

MeineStadt.de (Regional, Germany): German regional job portal (source platform). Salary ranges, benefits, company logos, and city-radius filter.

Open on Apify → Read the tutorial

Pricing

$8.50 / 1,000 job detail result

Runtime

Cloud (Apify)

Proxy

Datacenter

Coverage

What you can scrape — 45 fields per result

Field	Type	Example	Group	Fill %
`id`	string	ms-100015892839	Core	100%
`title`	string	Test Engineer (m/w/d) Platform & Integration	Core	100%
`source_url`	string \| null	https://jobs.meinestadt.de/nuernberg/premium?id=100015892839	Core	100%
`source_platform`	string	meinestadt.de	Core	100%
`apply_url`	string \| null	https://jobs.meinestadt.de/nuernberg/premium?id=100015892839	Core	100%
`company_url`	string \| null	https://www.berg-it-gmbh.de/	Core	40%
`company_social_urls`	object \| null	(populated when data available)	Core	—
`company_logo_url`	string \| null	https://image-resize.meinestadt.de/image-resize/v2/resize?h=200&sign=382091e5b1cfa1b42e...	Core	100%
`company`	string \| null	berg-it Projektdienstleistungen 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	`["Homeoffice", "Jahressonderzahlungen", "Kantine"]`	Company	100%
`location`	string	Nürnberg	Location	100%
`country`	string	DE	Location	100%
`description_snippet`	string \| null	Du stellst die Betriebs-, Integrations- und Qualitätssicherungsfähigkeit zentraler Test...	Description	100%
`description_full`	string \| null	Du stellst die Betriebs-, Integrations- und Qualitätssicherungsfähigkeit zentraler Test...	Description	100%
`salary_text`	string \| null	44159 EUR - 58403 EUR/Jahr	Salary	88%
`salary_min`	number \| null	`44159`	Salary	88%
`salary_max`	number \| null	`58403`	Salary	88%
`salary_currency`	string \| null	EUR	Salary	88%
`salary_period`	string \| null	year	Salary	88%
`salary_source`	string \| null	stated	Salary	88%
`employment_type`	string \| null	full-time	Employment	100%
`remote_option`	string \| null	(populated when data available)	Employment	—
`requirements`	array	`["DaF", "CTS", "Berufsausbildung"]`	Requirements	100%
`posted_at`	string \| null	2026-10-28T00:00:00Z	Metadata	100%
`posted_at_text`	string \| null	28.10.2026	Metadata	100%
`scraped_at`	string	2026-10-28T06:17:06Z	Metadata	100%
`canton`	string \| null	BY	Other	64%
`job_status`	string \| null	online	Other	100%
`detail_status`	string \| null	ok	Other	100%
`top_listing`	boolean \| null	`true`	Other	100%
`workload_min`	number \| null	`100`	Other	100%
`workload_max`	number \| null	`100`	Other	100%
`expires_at`	string \| null	2026-12-20T00:00:00Z	Other	100%
`contact_salutation`	string \| null	(populated when data available)	Other	48%
`contact_firstname`	string \| null	(populated when data available)	Other	56%
`contact_lastname`	string \| null	(populated when data available)	Other	56%
`contact_email`	string \| null	(populated when data available)	Other	76%
`contact_phone`	string \| null	(populated when data available)	Other	—
`contact_position`	string \| null	(populated when data available)	Other	12%
`contact_raw`	string \| null	(populated when data available)	Other	56%
`apply_email`	string \| null	(populated when data available)	Other	76%
`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": "ms-100015892839",
  "title": "Test Engineer (m/w/d) Platform & Integration",
  "company": "berg-it Projektdienstleistungen GmbH",
  "location": "Nürnberg",
  "canton": "BY",
  "job_status": "online",
  "detail_status": "ok",
  "top_listing": true,
  "employment_type": "full-time",
  "workload_min": 100,
  "workload_max": 100,
  "remote_option": null,
  "salary_text": "44159 EUR - 58403 EUR/Jahr",
  "salary_min": 44159,
  "salary_max": 58403,
  "salary_currency": "EUR",
  "salary_period": "year",
  "salary_source": "stated",
  "description_snippet": "Du stellst die Betriebs-, Integrations- und Qualitätssicherungsfähigkeit zentraler Test- und On-Premise-Landschaften der TAX-Plattform sicher. Du übernimmst die technische Betreuung und kontinuierliche Weiterentwicklung der Testplattformen. Du führst Build- und Einspeicherprozesse durch und stellst deren zuverlässigen Ablauf sicher. Du administrierst CTS- und DAF-Testumgebungen und sorgst für deren stabile Verfügbarkeit. Du unterstützt bei der Durchführung und technischen Absicherung vo",
  "description_full": "Du stellst die Betriebs-, Integrations- und Qualitätssicherungsfähigkeit zentraler Test- und On-Premise-Landschaften der TAX-Plattform sicher. Du übernimmst die technische Betreuung und kontinuierliche Weiterentwicklung der Testplattformen. Du führst Build- und Einspeicherprozesse durch und stellst deren zuverlässigen Ablauf sicher. Du administrierst CTS- und DAF-Testumgebungen und sorgst für deren stabile Verfügbarkeit. Du unterstützt bei der Durchführung und technischen Absicherung von Last- und Performancetests für On-Premise-Produkte. Ihr Profil: Das solltest du als Test Engineer (m/w/d) Platform &amp; Integration mitbringen: Du hast ein Studium in einem relevanten Fachgebiet oder eine vergleichbare Berufsausbildung erfolgreich abgeschlossen. Du bringst einschlägige Berufserfahrung im beschriebenen Tätigkeitsfeld mit. Du verfügst über fundierte Fachkenntnisse und entwickelst nachhaltige Lösungen für neue und komplexe technische Herausforderungen. Du triffst fachliche Entscheidungen in Deinem Verantwortungsbereich eigenständig und bindest die zuständige Führungskraft situationsgerecht ein. Du koordinierst die Zusammenarbeit innerhalb Deines Tätigkeitsbereichs sowie mit angrenzenden Fachbereichen. Du arbeitest strukturiert, lösungsorientiert und übernimmst Verantwortung für Deine Themen. Firmenbeschreibung: Wir bieten Dir spannende Projekte im Rahmen der Festanstellung oder Arbeitnehmerüberlassung (mit Übernahmeoption) bei renommierten Unternehmen - werde Teil unseres Netzwerks!",
  "requirements": [
    "DaF",
    "CTS",
    "Berufsausbildung",
    "Zuverlässigkeit",
    "Verantwortungsvolle Arbeitsweise",
    "Selbstständige Arbeitsweise"
  ],
  "posted_at": "2026-10-28T00:00:00Z",
  "posted_at_text": "28.10.2026",
  "expires_at": "2026-12-20T00:00:00Z",
  "source_url": "https://jobs.meinestadt.de/nuernberg/premium?id=100015892839",
  "source_platform": "meinestadt.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://jobs.meinestadt.de/nuernberg/premium?id=100015892839",
  "apply_email": null,
  "company_url": "https://www.berg-it-gmbh.de/",
  "company_description": null,
  "company_rating": null,
  "company_review_count": null,
  "company_social_urls": null,
  "company_logo_url": "https://image-resize.meinestadt.de/image-resize/v2/resize?h=200&sign=382091e5b1cfa1b42ef9c78b99a14b30dd42994667c3c586d4c26e911690b6ae&url=https%3A%2F%2Fimg.meinestadt.de%2Fimages%2F68d21b5415.jpg&w=200",
  "company_benefits": [
    "Homeoffice",
    "Jahressonderzahlungen",
    "Kantine",
    "Betriebliche Altersvorsorge",
    "Weiterbildungsmaßnahmen"
  ],
  "country": "DE",
  "search_query": "Software Engineer",
  "scraped_at": "2026-10-28T06:17:06Z"
}

Cost math

Priced at $0.0085 per job detail result. 10 job detail results ≈ $0.09, 100 ≈ $0.85, 1,000 ≈ $8.50. 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

German regional job aggregators need MeineStadt.de because it covers community-level postings in smaller cities and towns that national boards like StepStone and Indeed miss. With 900,000+ active listings spanning every German Bundesland, this is the widest regional job coverage in Germany in a single actor. Staffing agencies and HR software companies use the multi-keyword search with automatic deduplication to scan multiple care, trade, or tech categories in one run, then route each result by employment_type and workload. Salary benchmark tools extract structured salary ranges where available and normalize them to EUR alongside Bundesland codes for regional compensation reports. Recruitment analytics platforms use requirements and company_benefits arrays as direct model features without additional parsing.

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 meinestadt-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. How many results that covers depends on the actor's price per result.

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~meinestadt-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/meinestadt-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/meinestadt-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/meinestadt-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/meinestadt-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/meinestadt-de-scraper

Example prompt once connected:

"Use <code>meinestadt-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/meinestadt-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~meinestadt-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~meinestadt-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~meinestadt-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~meinestadt-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 meinestadt-de-scraper cost?

$8.50 / 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?

45 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.