Karriere.at Jobs Scraper

Extract job listings from Karriere.at with titles, companies, locations, salary details, employment types, and optional full descriptions. This actor is built for recruiting research, market monitoring, job data pipelines, and lead generation workflows that need clean structured output.

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Features

• Keyword and location search — Collect jobs by keyword, location, or both.
• Direct URL input — Start from a Karriere.at search URL when you already have the exact filtered search page.
• Real pagination support — Continues through additional result pages until the requested number of jobs is collected.
• Optional detail enrichment — Adds full descriptions and extra structured job fields when enabled.
• Clean dataset output — Omits empty and null values from dataset items.

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Use Cases

Recruitment Research

Track openings for specific roles and cities to understand demand, salary trends, and employer activity.

Market Intelligence

Monitor hiring activity across companies and regions to detect growth patterns and changing labor demand.

Job Data Pipelines

Export structured job data into dashboards, spreadsheets, databases, and downstream automation flows.

Sales Prospecting

Identify companies actively hiring relevant roles and build targeted lead lists for outreach.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Karriere.at search URL to start from
url	String	No	—	Alternative search URL input used when startUrl is empty
keyword	String	No	software engineer	Search keyword for jobs
location	String	No	Wien	Location filter for jobs
collectDetails	Boolean	No	true	Enrich items with full job description and extra details
results_wanted	Integer	No	20	Maximum number of jobs to collect
max_pages	Integer	No	10	Safety cap on pages to visit
proxyConfiguration	Object	No	optional	Proxy settings for more reliable collection

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Output Data

Each dataset item can contain:

Field	Type	Description
id	String	Karriere.at job ID
url	String	Job detail URL
title	String	Job title
company	String	Company name
company_id	String	Company identifier
company_slug	String	Company slug
company_url	String	Company profile URL
company_logo_url	String	Company logo URL
company_employees	String	Reported employee range
company_location	String	Main company location
company_website	String	Company website when available
location	String	Primary location
locations	Array	All extracted locations
location_slugs	Array	Extracted location slugs
salary	String	Human-readable salary text
salary_min	Number	Numeric salary minimum when available
salary_currency	String	Salary currency
salary_period	String	Salary period such as month or year
employment_types	Array	Employment types for the role
date_posted	String	Relative publication text
posted_at	String	Structured posting timestamp
is_home_office	Boolean	Whether home office is signaled
is_active	Boolean	Whether the listing is active
is_smart_apply_job	Boolean	Whether the job supports Smart Apply
is_direct_apply	Boolean	Whether direct apply is available
description_html	String	Full description in HTML
description_text	String	Plain-text description
snippet	String	Listing snippet
source	String	Source platform name

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Usage Examples

Basic Keyword Search

{
    "keyword": "software engineer",
    "location": "Wien",
    "results_wanted": 20
}

Search By URL

{
    "url": "https://www.karriere.at/jobs?keywords=data&locations=graz",
    "results_wanted": 30,
    "max_pages": 5
}

Listing-Only Collection

{
    "keyword": "marketing",
    "location": "Linz",
    "collectDetails": false,
    "results_wanted": 15
}

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Sample Output

{
    "id": "10010845",
    "url": "https://www.karriere.at/jobs/10010845",
    "title": "Junior Software Support & Application Engineer",
    "company": "RailNetEurope",
    "company_id": "119456",
    "location": "Wien",
    "salary": "ab 47.000 € jährlich",
    "salary_min": 47000,
    "salary_currency": "EUR",
    "employment_types": ["Full Time"],
    "date_posted": "30.3.2026",
    "posted_at": "2026-03-30T00:00:00+02:00",
    "description_text": "RailNetEurope (RNE) is an association of European Infrastructure Managers...",
    "source": "karriere.at"
}

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Tips for Best Results

Use Specific Searches

Use focused keywords and locations to reduce noise and get more relevant results.

Start Small First

Test with results_wanted: 20 before increasing volume for production runs.

Use URL Input For Exact Filters

If you already have a Karriere.at search page with the right filters applied, pass it through startUrl or url.

Disable Details For Faster Runs

Set collectDetails to false when you only need listing-level data.

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Proxy Configuration

{
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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Integrations

• Google Sheets — Export job data for analysis
• Airtable — Build searchable hiring databases
• Slack — Send run notifications to your team
• Webhooks — Forward results to your own endpoints
• Make — Automate enrichment and delivery workflows
• Zapier — Connect job datasets to other business tools

Export Formats

• JSON — For APIs and developers
• CSV — For spreadsheets and BI tools
• Excel — For business reporting
• XML — For custom integrations

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Frequently Asked Questions

Can I use a search URL instead of keywords?

Yes. You can provide startUrl or url and the actor will use that search page directly.

Does the actor collect more than the first page?

Yes. The actor follows the site pagination flow and keeps loading more pages until it reaches results_wanted, max_pages, or no more pages are available.

Can I collect only listing data?

Yes. Set collectDetails to false if you do not need full descriptions.

Why are some fields missing from certain items?

Some jobs do not expose every field. Empty and null values are omitted from the final dataset.

Will user-provided input override defaults?

Yes. Runtime input always takes priority over defaults and prefill values.

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Support

If you encounter issues or want a feature improvement, use the support channel for your deployment environment or open an issue in the project repository.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is intended for legitimate data collection and research. Users are responsible for ensuring their use complies with website terms of service and applicable laws. Respect privacy requirements, robots.txt where relevant, and reasonable rate limits when collecting data.