On stellenanzeigen.de many result cards list the employer's benefits as tags, from Jobrad to Tarifvergütung. Our stellenanzeigen.de scraper delivers them with pay and contract type.
Plans from €169/month · Free project assessment · Reply within 1 business day
Describe the scope - keywords, job titles, cities and radius, Vertragsart, industries or a list of employers - and the cadence. We build the crawler, keep it running and repair it after front-end changes. The anti-bot work - pacing, proxy rotation, rendering, CAPTCHA handling - is included, not something you arrange.
Before the first run you get a free assessment of the scope and a sample file. Runs then go out once, daily, weekly or on demand with field documentation, as CSV, XLSX or JSON, through a JSON feed, into Google Cloud Storage or Dropbox, or loaded into your database.
Each ad on stellenanzeigen.de has a job id made of a source prefix and a number - SDE-, JIM-, YF- and REG- among them - and the same id closes the ad address after /job/ and the title slug. Rows are keyed on it. Fields per ad:
Employers design their own ads, so headings differ - Deine Aufgaben, Dein Profil and Deine Benefits on one, other words on the next. We keep the full text next to the structured fields, and contact names printed in an ad are left out by default.
The Gehaltsvergleich section adds a salary layer of its own. Each occupation page gives a Mindestgehalt, a Durchschnitt and a Maximalgehalt for Germany, then a table by city with average, range and a link to that city's open jobs. Collected alongside the ads, the salary comparison lets you set what employers print against the board's own survey figures for the same title and city.
Employer profiles under /arbeitgeberprofil/ list an employer's open positions; the Arbeitgeber von A-Z directory and the index by town let a run start from a list of companies instead of a keyword. Landing pages under /jobs/ for job titles, cities and industries - Pflege, Logistik, Öffentlicher Dienst, Erneuerbare Energien and many more - give ready slices for sector monitoring.
Scheduled passes that revisit each SDE- or JIM- id show what one snapshot cannot: how long an ad stayed up against its scheduled end date, whether a salary or benefit was added later, and which employers post the same role again.
stellenanzeigen.de is a German job board run by stellenanzeigen.de GmbH & Co. KG from Munich and founded in 1995. Its own fact page calls it a generalist board for skilled staff and managers and lists media partnerships with regional news portals, Süddeutsche Zeitung and Münchner Merkur/tz among them, plus specialist portals that ads are distributed to.
For job seekers the site is built around a Was? and Wo? search with radius options from 10 km, landing pages per job title, city and industry, an Arbeitgeber von A-Z directory, a Gehaltsvergleich glossary of occupations and the careeasy magazine. A result list shows its count, and once exact matches run out it continues with a block of similar jobs - worth knowing, because the tail of a list is no longer your query.
The filters are the board's vocabulary: Arbeitszeitmodell, Home Office (100% Home-Office or Home-Office möglich), Leitungsebene for management level, Datum and Vertragsart. Vertragsart reaches past employment contracts to Freiberufler for freelance work, Werkstudent for working student jobs, Ausbildung for an apprenticeship, Praktikum for an internship, Ehrenamt for volunteer roles, Abschlussarbeit for a thesis and Doktorand for doctoral posts.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Data from stellenanzeigen.de answers what employers offer, not only whom they are looking for.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt collects website data for companies that would rather not maintain scrapers themselves. With job boards, what we add is consistency: the same columns for every ad, benefits split into values you can count, salaries normalised to minimum, maximum and period, and a history built from scheduled runs. Personal data is handled under GDPR and we do not build profiles of people. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Yes. The ScrapeIt stellenanzeigen.de API returns the prefixed job id, ad title, employer, salary range, Vertragsart and benefit tags as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, a JSON feed or straight into your database.
Yes. Search results, ad pages, employer profiles and the salary comparison pages on stellenanzeigen.de open without an account. We collect only publicly available data - everything a visitor can see on stellenanzeigen.de - and we collect it legally.
Yes. Vertragsart offers Festanstellung, Freiberufler, Befristeter Vertrag, Ausbildung, Trainee, Duales Studium, Minijob, Praktikum, Ehrenamt, Werkstudent, Abschlussarbeit and Doktorand, and we run one slice per value so every ad carries its type. Leitungsebene adds a leading or non-leading position flag the same way.
New ads arrive every day, and the Datum filter offers seit gestern, seit 7 Tagen and seit 30 Tagen, so a run on the seit gestern slice each day picks up new ads within a day. Every ad states its posting date and end date in its structured data, and a weekly full pass shows which job ids went offline early.
Where the card shows them. Tags such as Flexible Arbeitszeiten, Nachhaltiger Arbeitgeber or Jobticket appear on many cards, while a salary appears only when the employer gives one, as a range per year or per month. We store each benefit as its own value and leave salary empty when none is printed.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
stellenanzeigen.de data from €169/month. Free project assessment, reply within 1 business day.
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