StepStone Jobs Scraper

StepStone Jobs Scraper is a StepStone scraper that collects public job postings from StepStone in Germany, Austria and Belgium. Search by job title or keyword, narrow the search to a city, or provide the search URL you already use. The dataset contains one row per unique vacancy, with the employer, location, direct job link, posting date and salary availability. No StepStone account, login or API key is needed, and every row arrives as structured JSON that you can export to CSV, Excel or your own database.

This actor is useful when you need a structured view of vacancies for recruitment research, employer monitoring or labour market analysis. A search card gives a quick view of a vacancy. It does not include the complete description, and this actor does not open every individual job page. Use the direct links when you need to inspect those pages yourself.

StepStone scraper input

Use query for a job title or keyword. A German term is usually the natural choice for the German and Austrian sites. The optional location field narrows the search to a city or region. Leave it empty to search across the selected market. Choose de, at or be in market; the default is Germany.

The following input was used for a real search:

{"query": "data engineer", "limit": 50}

You can supply url instead of building a search from the other fields. Both absolute StepStone search URLs and relative search paths work. A supplied URL takes priority over query and location. The query remains in the output when you supply both. Only StepStone URLs for the three supported markets are accepted.

radius sets the search radius in kilometres, from zero to 200. Zero leaves the radius parameter out. sort accepts relevance or date; relevance is the default, and date asks StepStone to put recent postings first. limit controls the maximum number of delivered vacancies, from one to 500, with a default of 50. retries accepts one to six attempts per page and defaults to three. Keep your search fields consistent when continuing a larger request.

What the StepStone scraper returns (output)

Each dataset row keeps the original fields: job_id, title, url, company, company_url, location, posted_relative, work_from_home, salary_text, salary_available_on_page, contract_type, work_type, snippet, is_promoted, market, query and position. Positions start at one after duplicate vacancies have been removed. Job identifiers remain text, and unavailable text fields remain null instead of disappearing.

The output also includes source, platform, fetched_at, country_code, posted_at, salary_min, salary_max, salary_currency and salary_period. Timestamps use UTC. The country code identifies the StepStone site being read, including when an absolute URL refers to another supported market. location remains the source's text and may name several cities. It is not converted into a guessed city or postcode.

Here is one actual row from the real data-engineer search:

{
  "job_id": "14439627",
  "title": "Requirements- & Data-Engineer*",
  "url": "https://www.stepstone.de/stellenangebote--Requirements-Data-Engineer-Koeln-Wuppertal-BarmeniaGothaer--14439627-inline.html",
  "company": "BarmeniaGothaer",
  "company_url": "https://www.stepstone.de/cmp/de/barmeniagothaer-29978/jobs",
  "location": "Köln, Wuppertal",
  "posted_relative": "vor 1 Tag",
  "work_from_home": false,
  "salary_text": null,
  "salary_available_on_page": true,
  "contract_type": null,
  "work_type": null,
  "snippet": "Bei uns zählt, wer du bist. Mit all deinen Fähigkeiten, Ideen und Möglichkeiten. In der IT der BarmeniaGothaer entwickelst du Plattformen und Lösungen, die Kund*innen und Kolleg*innen spürbar weiterbringen. Du verbindest Menschen und Technologien. Mit Rückhalt in einem Team aus 7.500 Kolleg*innen u",
  "is_promoted": false,
  "market": "de",
  "query": "data engineer",
  "position": 1,
  "source": "stepstone-scraper",
  "platform": "stepstone",
  "fetched_at": "2026-10-03T16:27:50.515Z",
  "country_code": "DE",
  "posted_at": "2026-10-01T06:40:54Z",
  "salary_min": null,
  "salary_max": null,
  "salary_currency": null,
  "salary_period": null
}

snippet is the visible search-card excerpt, rather than the full vacancy description. posted_relative keeps StepStone's local wording, while posted_at uses the available structured posting date. The two fields serve different purposes: the relative text is easy to display, and the UTC timestamp is useful for sorting and comparison.

Salary availability

StepStone often offers a salary estimate behind a show-salary control without printing the amount on the search card. salary_available_on_page indicates that control is present. It does not promise that this actor has retrieved an amount. salary_text can therefore remain null while salary availability is true. Structured salary amounts are included only when the page actually supplies them. Missing amounts are never estimated from a job title, employer name or free-form text.

Use cases for a StepStone scraper

• Recruitment research. See which employers are hiring for a role in a city, how many of those vacancies are promoted placements and which postings offer remote work.
• Employer monitoring. Run the same search daily with sort set to date and keep the new job_id values. You see when a competitor or client starts hiring for a role.
• Labour market analysis. Compare demand for a job title between Germany, Austria and Belgium, or between cities in one market, using the same fields for every row.
• Job boards and aggregators. Feed vacancy titles, employers and direct links into your own index, and send readers to the original StepStone page for the full text.
• Salary research. Use salary_available_on_page and the structured salary fields to see which postings expose pay information and which do not.

For a recurring monitor, deduplicate across runs with job_id; the actor removes duplicates within one run only. Results change as StepStone adds, updates or removes listings, so a later run of the same search can return a different set.

StepStone scraper compared with the alternatives

StepStone's official API is aimed at employers, agencies and applicant tracking systems that publish vacancies and receive applications. It is not a public search feed, so it does not give you other employers' vacancies for a keyword and city. Copying results by hand or with a browser extension works for a single page but does not scale to hundreds of vacancies or daily monitoring. Open-source scripts need your own maintenance when the site changes. This actor runs in the Apify platform, accepts the same search you would type on StepStone, and returns a stable set of fields in every row. You can schedule it, call it from the Apify API, or connect it to integrations such as Google Sheets, Make or Zapier.

Pricing

The existing pay-per-event price is $0.0005 for run_start, once per run, and $0.00175 for each delivered vacancy through the job event. A run that returns no vacancies has no job charges; the existing start fee still applies. Duplicate vacancies are removed before delivery and are charged only once. Results are delivered before their job events are charged.

Users without a paid Apify plan receive at most ten vacancies per run. The run output reports the free-plan cap and whether it applied. Paid users retain the requested limit up to 500. This limit applies to delivered vacancies, rather than to the number of pages the search says are available.

Run summary and errors

The key-value store contains a summary record with delivered item and error counts. Successful searches also report pages requested, pages served, jobs returned, vacancies with links, salary availability and elapsed collection time. If some pages fail, available vacancies are retained and the errors record describes the failed pages. An unavailable source or empty search produces a successful empty actor run. A missing query and missing URL also give a readable input error instead of invented results.

Frequently asked questions

Which countries are supported?

Germany, Austria and Belgium, using their respective StepStone sites. The selected market controls a constructed search. An absolute URL selects its own supported site.

Does the actor collect complete job descriptions?

It collects search cards and their excerpts. The url field links to the complete vacancy, but fetching its detail page is outside this actor's scope.

Why are there fewer vacancies than the limit?

The limit is a maximum. The search may contain fewer unique vacancies, some cards can repeat between pages, and temporarily unavailable pages may leave partial results. The summary and errors let you distinguish these cases.

Can I combine job data across sources?

Use the source, platform, job identifier and timestamps as stable context. Employer and location text can help research, but neither is a guaranteed company identifier. Keep multi-city locations intact instead of treating them as a single address.

Is there an official StepStone API for job search?

StepStone offers interfaces for employers and partners who post vacancies. They are not meant for searching other employers' job postings. This StepStone scraper fills that gap with the public search results.

Can I export StepStone jobs to CSV or Excel?

Yes. The dataset can be downloaded as JSON, CSV, Excel, XML or HTML from the run page, or fetched through the Apify API in any of those formats.