# Karriere.at Jobs Scraper — Austria, Salary Data (`montkit/austrian-jobs-scraper`) Actor

Scrape Austrian job postings from karriere.at — with disclosed salaries on nearly every job (required by Austrian law). Full-market feed (~13,000 live jobs) or filtered by keyword and city. Clean structured data: salary, company, location, employment type. Maintained continuously.

- **URL**: https://apify.com/montkit/austrian-jobs-scraper.md
- **Developed by:** [Montkit Studio](https://apify.com/montkit) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 job scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Karriere.at Scraper — Austrian Jobs with Disclosed Salaries

Extract structured job postings from **karriere.at**, Austria's largest job board — with a **published salary on nearly every posting**, because Austrian law requires salary disclosure in job ads. That makes this the densest real-salary dataset in the DACH region.

### Why this scraper

- **Salary on almost every job.** Not an estimate or a model — the minimum salary the employer is legally required to state.
- **Full-market feed.** Leave the filters empty and it enumerates the board's own published sitemap for the entire live Austrian market (~13,000 postings), newest first.
- **You pay only for jobs delivered.** $1.50 per 1,000 postings. Filtered or unparseable listings cost you nothing.
- **Stable fields.** It reads the Schema.org `JobPosting` data the board publishes for machines, so the output does not break every time a page layout changes.
- **Maintained continuously.** When the source changes, this Actor is updated.

### Two ways to use it

1. **Full market feed** — no filters, newest-first across all of Austria. Ideal for job aggregation, market research and hiring-trend analysis.
2. **Filtered extraction** — keyword and/or location, e.g. `software` in `Wien`. You only pay for the matching jobs delivered.

### What you get per job

| Field | Description |
| --- | --- |
| `title`, `company` | Job title and hiring company |
| `salary` | Disclosed salary — currency, min/max, and period (month or year) |
| `city`, `postalCode` | Location, usable for Bundesland and region grouping |
| `employmentType` | Full-time, part-time, temporary, apprenticeship … |
| `datePosted`, `scrapedAt` | When it was published and when it was collected |
| `description` | Full description as plain text (optional) |
| `url`, `id` | Direct posting link and stable ID |

### Cost

1,000 jobs = **$1.50**. A daily 400-job monitoring run costs about **$0.60 per day**. Compute is included — no separate platform usage bill.

### Use cases

- **Salary benchmarking** — real disclosed pay by role, city and industry, updated as the market moves
- **Recruiting and sourcing** — monitor new openings by role or region
- **Lead generation** — hiring companies are buying companies
- **Job aggregation** — feed your own board, newsletter or alerts product

### FAQ

**Is the salary real or estimated?** Real. Austrian law requires the minimum pay to be stated in the ad, so it comes from the posting itself.

**Can I pull the whole Austrian market?** Yes — leave keyword and location empty and raise *Max jobs*. The full live market is roughly 13,000 postings.

**Does it need a login or cookies?** No. Only public listing and detail pages are fetched.

**Can I run it on a schedule?** Yes. Set up an Apify schedule and enable *Append to persistent history dataset* under Advanced — every run then appends to a named dataset in your account, so you build a salary and hiring time series instead of isolated run outputs.

***

Part of the Montkit DACH jobs suite: **Austria** (karriere.at) · **Switzerland** (jobs.ch & jobup.ch) · **Germany** (Jobbörse).

# Actor input Schema

## `keywords` (type: `string`):

Only deliver jobs whose title or description contains this text (case-insensitive), e.g. 'software', 'pflege', 'controller'. Leave empty for the full market feed (newest first).

## `location` (type: `string`):

Only deliver jobs in this city/region, e.g. 'Wien', 'Graz', 'Linz'. Optional.

## `maxItems` (type: `integer`):

Stop after delivering this many postings. The full board is ~13,000 live postings.

## `scanLimit` (type: `integer`):

Max postings to scan when filtering. 0 = automatic (3x max jobs).

## `fullDescription` (type: `boolean`):

Include the complete job description (plain text). Off = 500-char preview only.

## `accumulate` (type: `boolean`):

Advanced. Also append every delivered job (without the long description text) to a named dataset in your account, so repeated scheduled runs build a job-market time series instead of separate one-off run datasets.

## Actor input object example

```json
{
  "maxItems": 100,
  "scanLimit": 0,
  "fullDescription": true,
  "accumulate": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("montkit/austrian-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("montkit/austrian-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call montkit/austrian-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,montkit/austrian-jobs-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/c1Oz9faebBhfdTOha/builds/Z3WtfMegc9MHTrlrJ/openapi.json