# Karriere.at Jobs Scraper - Preiswert Low-cost💲🔥🇦🇹💼 (`delectable_incubator/karriere-at-jobs-scraper---preiswert-low-cost`) Actor
Scrape job listings from Karriere.at 💼🔎 with a powerful Austria jobs scraper.
Extract job titles, companies, company profile URLs, locations, posting dates, employment types, salaries, home office info, badges, and URLs.
Ideal for job market analysis and structured datasets at scale 📊🚀
- **URL**: https://apify.com/delectable\_incubator/karriere-at-jobs-scraper---preiswert-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Jobs, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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 Jobs Scraper 🔎🚀📊🇦🇹💼
Extract Jobs, Companies & Hiring Data from Karriere.at (Austria)
The Karriere.at Jobs Scraper is a fast, reliable, and scalable automation tool designed to extract job listings and structured employment data from karriere.at, one of Austria’s leading job platforms.
This scraper automatically collects job offers from search result pages, handles infinite scroll, and ensures complete, high-quality data extraction at scale.
👉 Perfect for job market analysis, recruitment intelligence, lead generation, and dataset creation
---
### 🇦🇹 Beschreibung
Der Karriere.at Jobs Scraper ist ein leistungsstarkes Tool zur automatischen Extraktion von Stellenanzeigen und strukturierten Jobdaten von karriere.at.
Der Scraper sammelt Daten direkt aus den Suchergebnissen und nutzt Infinite Scroll, um eine vollständige und zuverlässige Datenerfassung zu gewährleisten.
👉 Ideal für Arbeitsmarktanalysen, Recruiting, Lead-Generierung und Datenanalyse
---
### 🎯 Key Features
✔ Extract job listings automatically
✔ Supports multiple search URLs
✔ Handles pagination & infinite scroll
✔ Clean and structured datasets
✔ Fast and scalable scraping
✔ High success rate
---
### 📊 Extracted Data Fields
| Field | Description |
| -------------- | ---------------------------- |
| jobId | Unique job identifier |
| companyId | Company identifier |
| title | Job title |
| company | Hiring company |
| companyUrl | Company profile link |
| location | Job location |
| datePosted | Posting date |
| employmentType | Full-time / Part-time / etc. |
| salary | Salary (if available) |
| homeoffice | Remote / home office info |
| extraPills | Additional attributes |
| badges | Highlight badges |
| smartApply | Easy apply indicator |
| isSponsored | Sponsored job flag |
| logoUrl | Company logo |
| detailUrl | Job detail URL |
---
### 🛠️ How It Works
1️⃣ Input Configuration
Provide Karriere.at search URLs:
````
{
"urls": \[
"https://www.karriere.at/jobs/ai",
"https://www.karriere.at/jobs/wien"
],
"maxitems": 50
}
```
2️⃣ Run the Scraper
The actor will:
• Load job listings
• Scroll and extract all results
• Stop when:
maxitems is reached
No more jobs are available
3️⃣ Export Your Data
Download your dataset in:
✔ JSON
✔ CSV
✔ Excel
✔ XML
✔ HTML
---
### 📈 Use Cases
🔎 Job Market Analysis
Track hiring trends across Austria
💼 Recruitment Intelligence
Analyze companies, roles, and demand
📊 Lead Generation
Identify companies actively hiring
🤖 AI & Data Science
Build datasets for NLP, ML & analytics
---
### ⚙️ Input Parameters
| Field | Type | Description |
| -------- | ------ | ----------------------- |
| urls | array | Karriere.at search URLs |
| maxitems | number | Max jobs per URL |
---
### 📤 Output Example
```
{
"jobId": "7753358",
"companyId": "64",
"title": "Full-Stack Developer",
"company": "epunkt GmbH",
"location": "Wien",
"salary": "3.500€ - 5.000€",
"employmentType": "Full-time",
"detailUrl": "https://www.karriere.at/jobs/7753358"
}
````
---
### ⚠️ Disclaimer
This tool is not affiliated with, endorsed, or sponsored by karriere.at.
---
### 💸 Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
💳 **Price:** $1.49 / 1000 results
---
### Related Actors
If you're interested **in other German or Austrian scrapers / tools / solutions** (trade fair / messe), explore more exhibitor & trade fair scrapers across Europe 🇩🇪🇪🇺
(Coming soon)
---
### 📬 Support
⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool
---
### 🌍 PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `urls` (type: `array`):
Liste der karriere.at Such-URLs zum Scrapen.
Der Scraper lädt weitere Jobs automatisch via 'Weitere Jobs anzeigen'-Button und stoppt wenn kein Button mehr erscheint.
Beispiele:
• https://www.karriere.at/jobs/ai
• https://www.karriere.at/jobs/ansfelden?radius=50
• https://www.karriere.at/jobs/wien
⚠️ URLs müssen von karriere.at sein.
## `maxitems` (type: `integer`):
Maximale Anzahl an Stellenangeboten pro URL.
Der Scraper klickt automatisch auf 'Weitere Jobs anzeigen' und stoppt sobald der Button nicht mehr erscheint oder das Maximum erreicht ist.
## Actor input object example
```json
{
"urls": [
"https://www.karriere.at/jobs/ai",
"https://www.karriere.at/jobs/wien"
],
"maxitems": 20
}
````
# Actor output Schema
## `overview` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"urls": [
"https://www.karriere.at/jobs/ai",
"https://www.karriere.at/jobs/wien"
],
"maxitems": 20
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/karriere-at-jobs-scraper---preiswert-low-cost").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"urls": [
"https://www.karriere.at/jobs/ai",
"https://www.karriere.at/jobs/wien",
],
"maxitems": 20,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/karriere-at-jobs-scraper---preiswert-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"urls": [
"https://www.karriere.at/jobs/ai",
"https://www.karriere.at/jobs/wien"
],
"maxitems": 20
}' |
apify call delectable_incubator/karriere-at-jobs-scraper---preiswert-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/karriere-at-jobs-scraper---preiswert-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Karriere.at Jobs Scraper - Preiswert Low-cost💲🔥🇦🇹💼",
"description": "Scrape job listings from Karriere.at 💼🔎 with a powerful Austria jobs scraper. \n\nExtract job titles, companies, company profile URLs, locations, posting dates, employment types, salaries, home office info, badges, and URLs. \n\nIdeal for job market analysis and structured datasets at scale 📊🚀",
"version": "0.0",
"x-build-id": "giZ8aHywqvg2shtpp"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~karriere-at-jobs-scraper---preiswert-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-karriere-at-jobs-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~karriere-at-jobs-scraper---preiswert-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-karriere-at-jobs-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~karriere-at-jobs-scraper---preiswert-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-karriere-at-jobs-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"urls",
"maxitems"
],
"properties": {
"urls": {
"title": "Karriere.at Search URLs 💼 / Karriere.at Such-URLs 💼",
"type": "array",
"description": "Liste der karriere.at Such-URLs zum Scrapen.\n\nDer Scraper lädt weitere Jobs automatisch via 'Weitere Jobs anzeigen'-Button und stoppt wenn kein Button mehr erscheint.\n\nBeispiele:\n• https://www.karriere.at/jobs/ai\n• https://www.karriere.at/jobs/ansfelden?radius=50\n• https://www.karriere.at/jobs/wien\n\n⚠️ URLs müssen von karriere.at sein.",
"items": {
"type": "string"
}
},
"maxitems": {
"title": "Maximum listings per URL 📄 / Maximale Angebote pro URL 📄",
"type": "integer",
"description": "Maximale Anzahl an Stellenangeboten pro URL.\n\nDer Scraper klickt automatisch auf 'Weitere Jobs anzeigen' und stoppt sobald der Button nicht mehr erscheint oder das Maximum erreicht ist.",
"default": 20
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```