GermanTechJobs Scraper

Extract structured tech job listings from germantechjobs.de — Germany's curated IT job board with 3,000+ active vacancies. No API key required. Filter by city, experience level, workplace type, technology stack, and more. Full job descriptions, salary ranges, and company perks included.

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Why use this scraper?

• Complete coverage — retrieves all 3,000+ active tech listings in a single run
• Rich filtering — narrow by keyword, city, job type, experience level, workplace type, required language, tech category, or specific technology
• Salary data — annual salary ranges (EUR) included on most listings
• Perks & benefits — 25+ mapped benefit categories (flexible hours, remote days, public transport, gym, etc.)
• Full job details — enable fetchDetails to retrieve complete job descriptions, requirements, and responsibilities
• Tech stack metadata — technologies per listing (Python, Kubernetes, SAP, Java, etc.)
• GPS coordinates — latitude and longitude for location-based applications

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Input parameters

Parameter	Type	Description	Default
keyword	String	Filter by keyword (title, company, tech stack, category)	—
city	String	City or city area, e.g. "Berlin", "Munich"	—
jobType	Select	Full-Time, Part-Time, Internship, Contract	All
expLevel	Select	Junior, Regular, Senior, Lead	All
workplace	Select	office, hybrid, remote	All
language	Select	German, English	All
techCategory	String	Category filter, e.g. "DevOps", "SAP", "Security"	—
technologies	String	Stack filter, e.g. "Kubernetes", "React"	—
daysOld	Integer	Only return listings published within N days (0 = no limit)	0
maxResults	Integer	Maximum number of results to return	1000
fetchDetails	Boolean	Fetch full description, requirements, and responsibilities	false

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💰 Structured salary data — machine-ready

Salary is returned as split numeric fields. No regex required on your end:

Field	Type	Example
salaryMin	number | null	3500
salaryMax	number | null	5000
salaryCurrency	string | null	"EUR"

Most competing scrapers return salary as a raw string (e.g., "€3,500 – €5,000"), leaving the parsing to you. This scraper delivers numeric min/max fields directly — ready for WHERE salaryMin > 50000 queries or salary distribution analysis.

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Output schema

Each result includes the following fields:

{
  "id": "69cce04c008488e6fb7e6154",
  "title": "Senior DevOps Engineer (m/w/d)",
  "company": "Example GmbH",
  "url": "https://germantechjobs.de/jobs/Example-GmbH-Senior-DevOps-Engineer-mwd",
  "city": "Berlin",
  "cityCategory": "Berlin",
  "postalCode": "10115",
  "address": "Unter den Linden 1",
  "latitude": 52.5200,
  "longitude": 13.4050,
  "workplace": "hybrid",
  "jobType": "Full-Time",
  "expLevel": "Senior",
  "language": "English",
  "techCategory": "DevOps",
  "metaCategory": "cloud",
  "technologies": ["Kubernetes", "Terraform", "AWS", "Docker"],
  "annualSalaryFrom": 75000,
  "annualSalaryTo": 95000,
  "companySize": "100-500",
  "companyType": "Product",
  "hasVisaSponsorship": false,
  "isPartner": false,
  "perks": ["Flexible working hours", "Hybrid work", "Training budget"],
  "publishDate": "2026-04-02",
  "publishDateISO": "2026-04-02T00:00:00.000+02:00",
  "description": "We are looking for a Senior DevOps Engineer...",
  "descriptionHtml": "<p>We are looking for a Senior DevOps Engineer...</p>",
  "requirements": "- 5+ years of Kubernetes experience\n- Strong Terraform skills",
  "responsibilities": "- Own and maintain cloud infrastructure\n- Lead deployment pipelines",
  "applyEmail": "jobs@example.com",
  "source": "germantechjobs.de",
  "scrapedAt": "2026-04-04T12:00:00.000Z"
}

Note: description, descriptionHtml, requirements, responsibilities, and applyEmail are only populated when fetchDetails is enabled.

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Examples

All remote jobs:

{ "workplace": "remote", "maxResults": 100 }

Senior Python engineers in Berlin:

{ "keyword": "Python", "city": "Berlin", "expLevel": "Senior" }

English-language DevOps roles (last 7 days):

{ "techCategory": "DevOps", "language": "English", "daysOld": 7 }

Kubernetes jobs with full descriptions:

{ "technologies": "Kubernetes", "fetchDetails": true, "maxResults": 50 }

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Pricing

$1.50 per 1,000 results — you only pay for successfully retrieved job listings.

Volume	Estimated cost
100 results	~$0.15
500 results	~$0.75
1,000 results	~$1.50
Full dataset (~3,000)	~$4.50

Runs with fetchDetails: false (default) complete within seconds. Enabling fetchDetails increases run time proportionally to the number of results.

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Performance

Scenario	Results	Approx. time
Full dataset, no details	~3,000	~3s
Filtered results, no details	10–200	~2s
50 results with full details	50	~25s
100 results with full details	100	~60s

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Known limitations

• Detail fields require fetchDetails: true — description, requirements, and responsibilities are not included in the default (fast) mode
• ~3,000 listings — germantechjobs.de is a curated niche board, not a general aggregator; total listing count reflects active tech-only vacancies
• German-market only — all listings are for positions based in Germany
• cityCategory is not always the actual city — use actualCity for the precise municipality; cityCategory is a major-city bucket

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Technical details

• Coverage: germantechjobs.de
• Memory: 256 MB
• Output format: JSON (Apify dataset)

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Additional services

Need scrapers for other German job boards? The unfenced-group portfolio covers Stepstone.de, Xing, Arbeitsagentur.de, and more. Visit apify.com/unfenced-group for the full list.

For custom integrations or bulk data needs, contact info@unfencedgroup.nl.

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Built and maintained by unfenced-group