Stellenanzeigen.de Jobs Scraper: No Login

Stellenanzeigen.de Jobs Scraper · No Login & URL Search

Extract job postings from stellenanzeigen.de, a major German job board (over 10,000 live postings), and get clean structured data: title, company, location, employment type, industry and full description. No login, no browser, no proxy.

At a glance

What you get	Job postings from Stellenanzeigen.de: title, company, city, region, postal code, country, remote policy, salary when disclosed, employment type, industry, 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 15 seconds. No login, no proxy, no browser to configure.
Try it	Click Try for free: the form is already filled with keywords entwickler.
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, across every industry and region.
• 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 and region.
• Build a dataset for analysis: employment type and industry are kept as clean, structured fields instead of free text.
• Paste a search URL: copy the address bar from a search on stellenanzeigen.de and the actor reads its keyword filter directly, no need to re-type it.

Input

Field	What it does
Keywords	Job title or skill, for example entwickler or pflegefachkraft. Leave empty to get postings across every occupation.
Search URLs (optional)	Paste one or more search result URLs copied from stellenanzeigen.de. Their keyword filter is applied as if you had typed it above, in addition to Keywords.
Maximum number of postings	The run stops once this many postings are saved, across every search combined (default 50).

Example input:

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

Paste a search URL instead of typing keywords:

{
  "searchUrls": ["https://www.stellenanzeigen.de/suche/?fulltext=pflegefachkraft"],
  "maxItems": 50
}

Output

One record per posting:

{
  "id": "126279",
  "url": "https://www.stellenanzeigen.de/job/app-entwickler-m-w-d-dinslaken-sde-126279/",
  "title": "App-Entwickler (m/w/d)",
  "companyName": "Standby GmbH",
  "city": "Dinslaken",
  "region": "Nordrhein-Westfalen",
  "postalCode": "46537",
  "country": "DE",
  "remote": "unknown",
  "employmentType": "FULL_TIME",
  "industry": "Software Engineering, Softwareentwicklung, Technische Informatik",
  "salaryMin": null,
  "salaryMax": null,
  "datePosted": "2026-10-14T00:00:01+00:00",
  "validThrough": "2026-12-13T21:59:00+00:00",
  "description": "App-Entwickler\nWir sind Hersteller von Sondersignalanlagen und Warntechnik für Feuerwehr-, Rettungs- und Polizeifahrzeuge...\nDein Aufgabengebiet\n- Design, Implementierung und Wartung mobiler Anwendungen für Android und iOS\n- Konzeption und Umsetzung neuer App-Funktionen..."
}

Field	Type	Notes
id	string	Stable numeric id, stays the same across runs. Use it to deduplicate.
url	string	Canonical posting URL on stellenanzeigen.de.
title	string	Job title as published.
companyName	string or null	Hiring company; null when the posting hides it (then confidentialCompany: true).
companyUrl	string or null	Always null: this site's own data never includes a company page link.
locationLabel	string or null	City and region as displayed by the site.
city / region / postalCode	string or null	Of the first listed work location.
country	string or null	ISO 3166-1 alpha-2 country code, almost always DE.
remote	string	remote, hybrid or unknown. Read from the job title only (this site has no structured remote flag), never guessed from the description.
employmentType	string or null	schema.org value, for example FULL_TIME or PART_TIME. Empty when not specified.
industry	string or null	Comma-separated industry tags, when the employer set any.
salaryMin / salaryMax / salaryCurrency / salaryPeriod	number/string or null	Salary range, only when the posting discloses a structured one (a minority).
experienceLevel / skills	null / array	Always empty: this site publishes neither.
datePosted	string	ISO 8601 publication date.
validThrough	string or null	ISO 8601 date the posting expires.
description	string	Full job description as plain text. No personal data: a recruiter's named signature, e-mail or direct phone number is removed.
source	string	Always stellenanzeigen.de.
sourceId	string	Native numeric id on the source site (same as id).
scrapedAt	string	Extraction timestamp, ISO 8601.
searchUrl	string or null	The pasted search URL this record came from, when there was one.

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

Good to know

• A posting with several work locations keeps only the first one; this matches what the site itself shows first.
• Some postings omit industry tags, salary or a precise location; 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 and address are kept.

Auf Deutsch

Dieser Actor liest Stellenanzeigen von Stellenanzeigen.de aus: Titel, Unternehmen, Stadt, Region, PLZ, Anstellungsart, Branche, Datum und vollständige Beschreibung, als JSON, CSV oder Excel. Geeignet für Job-Alerts, Jobbörsen und Arbeitsmarktanalysen. Kein Login, kein Proxy nötig.

Why this one

• Built for daily monitoring. Every posting has a stable id, a datePosted and a validThrough date, so you can deduplicate across runs and drop expired ads.
• Clean structured fields, not free text. Employment type and industry come pre-parsed from the posting's own schema.org data instead of a block of HTML to re-parse yourself.
• Pay only for what you get. Priced per result, with no monthly rental and platform usage included.
• Paste a search URL, no re-typing. Copy the address bar from a search on stellenanzeigen.de and the actor reads its keyword filter directly, in addition to the Keywords field.

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/stellenanzeigen-jobs-scraper').call({
  keywords: 'entwickler',
  searchUrls: ['https://www.stellenanzeigen.de/suche/?fulltext=entwickler'],
  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/stellenanzeigen-jobs-scraper").call(run_input={
    "keywords": "entwickler",
    "searchUrls": [
        "https://www.stellenanzeigen.de/suche/?fulltext=entwickler"
    ],
    "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 Stellenanzeigen.de? 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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