Academics.de Scraper - German Science & Research Jobs

What does Academics.de Scraper do?

Academics.de Scraper extracts academic, research and science job listings from Academics.de, Germany's leading careers portal for professorships, PhD positions, postdoc roles and research-associate positions (part of the ZEIT Verlagsgruppe / Forschung & Lehre publishing group). It collects job titles, hiring institutions, locations, subject areas, position types, contract terms and application deadlines, directly from the site's own listing and detail pages. No login or cookies required.

Use it on the Apify platform to get structured German academic job-market data via API, schedule recurring scrapes, and integrate with tools like Zapier, Make, Google Sheets, and Slack.

How to scrape Academics.de data

1. Go to the Academics.de Scraper on the Apify Store.
2. Click Try for free to open the actor in the Apify Console.
3. Enter a German search keyword (e.g. "Professur", "Doktorand", "Postdoc") or leave it empty to use the default professorship search.
4. Set the maximum number of job listings you want.
5. Click Start and wait for the run to finish.
6. Download your data as JSON, CSV, Excel, or HTML from the Output tab.

Why use Academics.de Scraper?

• Academic recruitment — Universities, research institutes and HR agencies can monitor open professorships and research positions across German higher education.
• Labor market analysis — Track which subject areas, institutions and federal states (Bundesländer) are hiring most actively in academia and research.
• Career and relocation planning — Researchers and academics can build a structured view of open positions by subject, location, and contract type instead of browsing listings by hand.
• Deadline tracking — Application deadlines are parsed from the visible page text (more reliable than the listing's internal metadata, see Limitations), so it's usable for time-sensitive alerts.
• Academic and public-policy research — Gather structured German academic-employment data straight from the leading sector-specific job board.

Input

Field	Type	Required	Description
searchQuery	String	No	German search keyword (e.g. "Professur" = professorship, "Doktorand" = PhD student, "wissenschaftlicher Mitarbeiter" = research associate, "Postdoc"). Leave empty to use the default "Professur" search.
maxResults	Integer	No	Maximum number of job listings to scrape (default: 50, max: 2000).
proxyConfiguration	Object	No	Proxy settings. Academics.de serves clean server-rendered HTML with no WAF challenge, so Apify's automatic/free proxy pool is used by default — no residential proxy needed.

Output

Each result contains structured data about a single job listing. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Example output

{
    "jobTitle": "Professur „Intelligente Robotik“ (w/m/d)",
    "institution": "Technische Hochschule Mannheim",
    "location": "Mannheim",
    "region": "Baden-Württemberg",
    "postalCode": "68163",
    "subject": "Elektrotechnik, Elektronik",
    "positionType": "Professor, Professorin",
    "workArea": "Lehre & Forschung, Wissenschaft",
    "contractDuration": "Befristet",
    "workingHours": "Vollzeit",
    "description": "Zum Sommersemester 2027 oder später ist in der Fakultät für Elektrotechnik folgende Stelle zu besetzen: Professur „Intelligente Robotik“ (w/m/d) Bes. Gr. W2 (Stellen-Nr. 819)...",
    "postedDate": "2026-07-27T22:00:00Z",
    "applicationDeadline": "2026-08-31T00:00:00.000Z",
    "employerLogoUrl": "https://assets.academics.de/jobs/company_logo/7wka7t2hzy26swi2btohkqfl6hx5pghz6jurscdc6mddr4oh2cba.png",
    "jobId": "1109182",
    "url": "https://www.academics.de/jobs/professur-intelligente-robotik-w-m-d-technische-hochschule-mannheim-1109182",
    "scrapedAt": "2026-08-10T19:35:06.210Z"
}

Data fields

Field	Type	Description
jobTitle	String	Job listing title (German)
institution	String	Hiring institution or employer name (university, research institute, company)
location	String	City where the position is based
region	String	German federal state (Bundesland)
postalCode	String	Postal code of the workplace
subject	String	Academic subject / field category (e.g. "Mathematik", "Biochemie")
positionType	String	Position category (e.g. "Professor, Professorin", "Wissenschaftlicher Mitarbeiter, wissenschaftliche Mitarbeiterin")
workArea	String	Broader work-area category (e.g. "Lehre & Forschung, Wissenschaft")
contractDuration	String	"Befristet" (fixed-term) or "Unbefristet" (permanent)
workingHours	String	"Vollzeit" (full-time) or "Teilzeit" (part-time)
description	String	Job description text (HTML stripped, truncated to 8000 characters)
postedDate	String	When the job was first published (ISO 8601)
applicationDeadline	String	Application deadline (ISO 8601), parsed from the visible "Bewerbungsfrist" text on the listing, null if not disclosed
employerLogoUrl	String	URL of the hiring institution's logo, if available
jobId	String	Academics.de internal job listing identifier
url	String	Direct URL to the job listing on Academics.de
scrapedAt	String	ISO 8601 timestamp of when the data was collected

Cost estimate

This actor fetches server-rendered HTML directly rather than rendering pages in a browser, so it runs fast and cheap — roughly 0.3–0.6 compute units per 1,000 results (one listing-page fetch per 50 results, plus one detail-page fetch per result). At standard Apify pricing that's well under $0.50 per 1,000 job listings. As with any Apify actor, the run's usage cost only settles once the run reports SUCCEEDED — reading a mid-run/in-progress dataset understates the eventual cost.

Tips

• Use specific German subject or role keywords ("Professur", "Doktorand", "Postdoc", "wissenschaftlicher Mitarbeiter") to narrow results to a field.
• Leave searchQuery empty to pull the default professorship search, one of the highest-volume categories on the site.
• subject, positionType and workArea are Academics.de's own taxonomy tags — use them together to filter results by field and role level.
• Schedule recurring runs to track newly posted positions daily or weekly.

Limitations

• applicationDeadline is parsed from the visible "Bewerbungsfrist: DD.MM.YYYY" text on the detail page, not from the listing's JSON-LD validThrough field — the two dates diverge on this site (validThrough looks like an internal ad-expiry date, weeks earlier than the real deadline candidates see). applicationDeadline is null when no deadline text is shown on the page.
• location, region and postalCode are null for the small number of listings that don't publish a structured address (e.g. remote or multi-site postings).
• Description text is truncated to 8,000 characters.
• Data is scraped from the public Academics.de website and may change without notice.

Integrations

Connect Academics.de Scraper with your existing tools and workflows:

• Google Sheets — Export listings directly to a spreadsheet for easy filtering and sharing.
• Slack — Get notified when new positions matching your criteria appear.
• Zapier / Make — Build workflows that react to new job postings in real time.
• Custom API — Access all results programmatically via the Apify API in JSON format.

FAQ and support

Is it legal to scrape Academics.de? Scraping publicly available data is generally permitted under EU law. This actor only accesses public job listings that require no login, via the same pages the public site uses.

How often is the data updated? The actor scrapes live data from Academics.de each time it runs. Schedule it daily or weekly to track new postings.

I found a bug or have a feature request. Open an issue in the Issues tab on the actor page. You can also request a custom scraping solution.

Need this data on a schedule, or a custom version?

We run this scraper as a managed service for businesses: scheduled runs, deduplication, delta detection, and delivery to your inbox, Google Sheets, or API — maintenance included. We can also build a custom version with your exact fields and filters, or combine multiple sources into one feed.

See studioamba.dev/services or email hello@studioamba.dev for a free data sample. We maintain 300+ European web scrapers and answer within one business day.