karriere.at Job Scraper

Pull job postings from karriere.at — Austria's largest job board — at scale, complete with structured EUR salary ranges, full descriptions, recruiter contacts, ISO 8601 posting dates, and the exact federal state each role sits in. Run many keywords at once and get a single deduplicated dataset back. Built for Austrian recruiters, labor-market analysts, and relocation services who need clean, structured karriere.at job data without copy-pasting listings one tab at a time.

Why This Scraper?

• All 9 Austrian federal states, by name — filter to Wien, Niederösterreich, Oberösterreich, Steiermark, Tirol, Kärnten, Salzburg, Vorarlberg, or Burgenland, with German umlauts handled for you. Every result is also tagged with the state it belongs to.
• 5 employment types in plain English — Full-time (Vollzeit), Part-time (Teilzeit), Marginal employment (Geringfügig), Apprenticeship (Lehrstelle), and Internship (Praktikum) — pick any combination instead of memorizing German tokens.
• Structured EUR salary, not just raw text — parsed salaryMin, salaryMax, and salaryCurrency fields alongside the original salary line, so you can sort, average, and benchmark compensation directly.
• Recruiter contacts where published — contactName, contactEmail, and contactPhone pulled straight from the posting, turning each search into a ready-to-use lead list.
• Multi-keyword search, deduplicated — pass a list like ["Pflege", "Software Engineer", "Buchhaltung"]; each keyword is searched separately and the combined results are deduplicated by job ID, so no role appears twice.
• ~26 structured fields per job — title, company, location, state, employment type, job level, full description, requirements, benefits, salary, apply URL, company logo, and ISO 8601 posting and capture timestamps.
• Two-speed runs — toggle includeJobDetails off for a fast listing sweep, or on to enrich every job with its full description, salary breakdown, benefits, and recruiter contact.
• Up to 50,000 jobs per run — set a precise total cap or open it wide; one clear maxResults number controls the whole run, no hidden per-query multipliers.

Use Cases

Recruitment & Talent Sourcing

• Build live candidate-facing job feeds for specific roles across Austria
• Monitor competing employers' open roles by company and city
• Track apprenticeship (Lehrstelle) and internship openings for early-talent pipelines
• Surface newly posted roles daily with the Last 24 hours filter

Labor-Market Research

• Map job supply by federal state to spot regional hiring hotspots
• Quantify demand for a skill or title over time using posting dates
• Compare full-time vs. part-time vs. marginal employment mix by sector
• Feed structured job counts into workforce and economic dashboards

Salary Benchmarking

• Aggregate salaryMin/salaryMax ranges by role, city, and seniority
• Benchmark a single position across Vienna vs. the rest of Austria
• Track advertised pay trends across posting periods
• Build compensation reports from structured EUR figures, not free text

Lead Generation

• Extract recruiter and hiring-manager contacts from postings that publish them
• Target staffing prospects by industry and employment type
• Identify companies actively hiring in a given Bundesland

Relocation & Job-Matching Services

• Match incoming candidates to roles by state, city, and employment type
• Curate role shortlists with full descriptions and direct apply URLs
• Highlight home-office-friendly roles for remote-first job seekers

Getting Started

Search a single keyword

The simplest run — one keyword across all of Austria:

{
    "searchQueries": ["Software Engineer"],
    "maxResults": 50
}

Filter by state and employment type

Full-time and part-time tech roles in Vienna, posted recently:

{
    "searchQueries": ["Software Engineer", "DevOps"],
    "bundesland": "Wien",
    "employmentTypes": ["Vollzeit", "Teilzeit"],
    "datePosted": "7",
    "sortBy": "date",
    "maxResults": 200
}

Full-featured run

Multiple keywords, an industry filter, newest-first sorting, and full detail enrichment:

{
    "searchQueries": ["Pflege", "Buchhaltung", "Projektmanager"],
    "location": "Graz",
    "bundesland": "Steiermark",
    "employmentTypes": ["Vollzeit"],
    "industry": "Gesundheit",
    "datePosted": "30",
    "sortBy": "date",
    "includeJobDetails": true,
    "maxResults": 1000
}

Input Reference

Search

Parameter	Type	Default	Description
searchQueries	array	["Software Engineer"]	One or more job keywords (e.g. "Pflege", "Buchhaltung"). Each is searched separately and the results are combined with duplicates removed. Leave empty to browse without a keyword.
location	string	""	A city or region in Austria such as "Wien", "Graz", or "Linz". Takes precedence over the state filter when both are set.

Filters

Parameter	Type	Default	Description
bundesland	select	Any state	Limit results to one Austrian federal state: Vienna, Lower/Upper Austria, Styria, Tyrol, Carinthia, Salzburg, Vorarlberg, or Burgenland.
employmentTypes	multi-select	[]	Include only these employment types: Full-time, Part-time, Marginal employment, Apprenticeship, or Internship. Leave empty for all.
industry	string	""	Filter by industry or sector, e.g. "IT", "Gesundheit", or "Handel".
datePosted	select	Any time	Only include jobs posted within the last 24 hours, 7 days, or 30 days.
sortBy	select	Most relevant	Return the most relevant jobs first, or the most recently posted jobs first.

Output

Parameter	Type	Default	Description
includeJobDetails	boolean	true	Fetch each job's full description, requirements, benefits, structured salary, apply URL, and recruiter contact. Turn off for a faster, lighter run that returns listing summaries only.
maxResults	integer	100	Maximum number of jobs to return in total across all keywords. Set to 0 for unlimited (capped at 50,000 for safety).

Output

Each job is one row. Here's a representative result with full details enabled:

{
    "id": "8765432",
    "title": "Senior Software Engineer (m/w/d)",
    "company": "Beispiel GmbH",
    "companyLogo": "https://kcdn.at/logos/beispiel.png",
    "location": "Wien",
    "bundesland": "Wien",
    "employmentType": "Vollzeit",
    "jobLevel": "Berufserfahren",
    "isHomeOffice": true,
    "salaryMin": 56000,
    "salaryMax": 78000,
    "salaryCurrency": "EUR",
    "salaryText": "ab € 56.000 brutto/Jahr",
    "descriptionSnippet": "Wir suchen eine erfahrene Entwicklerin für unser Plattform-Team...",
    "descriptionFull": "Als Senior Software Engineer verantwortest du den Ausbau unserer Cloud-Plattform...",
    "requirements": "Mehrjährige Erfahrung in der Backend-Entwicklung, fundierte Kenntnisse in verteilten Systemen...",
    "benefits": ["Home-Office", "Essenszuschuss", "Weiterbildungsbudget"],
    "contactName": "Maria Huber",
    "contactEmail": "jobs@beispiel.at",
    "contactPhone": "+43 1 234 5678",
    "postedAt": "2026-05-28",
    "applyUrl": "https://www.karriere.at/jobs/8765432/apply",
    "url": "https://www.karriere.at/jobs/8765432",
    "searchQuery": "Software Engineer",
    "scrapedAt": "2026-06-03T09:15:00Z"
}

Core Fields

Field	Type	Description
id	string	Unique karriere.at job identifier
title	string	Job title as posted
company	string	Hiring company name
companyLogo	string	Company logo image URL
location	string	City or region of the role
bundesland	string	Austrian federal state (where available)
employmentType	string	Vollzeit, Teilzeit, Geringfügig, Lehrstelle, or Praktikum
jobLevel	string	Seniority level as listed (where available)
isHomeOffice	boolean	Whether the listing flags home-office availability

Salary

Field	Type	Description
salaryMin	number	Parsed minimum annual salary in EUR (where available)
salaryMax	number	Parsed maximum annual salary in EUR (where available)
salaryCurrency	string	Currency code, typically EUR
salaryText	string	Original salary line as displayed

Description & Requirements

Field	Type	Description
descriptionSnippet	string	Short listing summary from the results page
descriptionFull	string	Full job description (with includeJobDetails)
requirements	string	Requirements section, where the employer provides one
benefits	array	Listed company benefits, where available

Contact

Field	Type	Description
contactName	string	Recruiter or contact name, where published
contactEmail	string	Recruiter or contact email, where published
contactPhone	string	Recruiter or contact phone, where published

Metadata

Field	Type	Description
postedAt	string	Posting date in ISO 8601 format
applyUrl	string	Direct application URL
url	string	Job posting URL on karriere.at
searchQuery	string	The keyword that surfaced this job
scrapedAt	string	ISO 8601 timestamp of when the row was collected

Fields such as requirements, benefits, contactName, and salary figures are best-effort: they are filled when the employer publishes them and omitted otherwise, so your dataset stays clean.

Tips for Best Results

• Start small to validate — set maxResults to 25–50 on your first run to confirm the data fits your needs, then scale up.
• Use the state filter with confidence — pick a Bundesland from the dropdown and the German umlauts (Niederösterreich, Kärnten) are restored automatically; you never type them yourself.
• Location beats state when you need a city — set location to "Graz" or "Linz" for city-level precision; it takes precedence over bundesland if you set both.
• Batch related keywords in one run — passing several titles in searchQueries is cheaper and tidier than separate runs, and duplicates are removed across the whole set by job ID.
• Pair datePosted with sortBy — combine "Last 24 hours" with "Newest first" to build a daily new-jobs feed; both work even when includeJobDetails is off, since they read the listing date directly.
• Turn off details for fast counts — leave includeJobDetails off when you only need titles, companies, and posting dates for market sizing; turn it on for salary, benefits, and recruiter contacts.
• Salary and contacts are richest with details on — structured salaryMin/salaryMax and recruiter email/phone come from the detailed view, so keep includeJobDetails enabled for benchmarking and lead generation.

Pricing

From $2.50 per 1,000 results — undercutting the going rate for Austrian job data. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.30	$0.28	$0.27	$0.25
1,000	$3.00	$2.80	$2.65	$2.50
10,000	$30.00	$28.00	$26.50	$25.00
100,000	$300.00	$280.00	$265.00	$250.00

A "result" is one job row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate recruitment research, labor-market analysis, salary benchmarking, and lead generation. Users are responsible for complying with applicable laws and karriere.at's Terms of Service. Recruiter contact details may constitute personal data — handle them in line with GDPR and Austrian data-protection law, and do not use extracted data for spam, harassment, or any unlawful purpose.