# AMS.at Jobs Scraper - Preiswert Low-cost💲🔥💼 (`delectable_incubator/ams-at-jobs-scraper---preiswert-low-cost`) Actor
Scrape job listings from jobs.ams.at 💼🔎 with a powerful Austria jobs scraper.
Extract job titles, companies, locations, occupations, employment types, working time, posting dates, descriptions, and detail URLs.
Ideal for job market analysis and structured employment datasets at scale 📊🚀
- **URL**: https://apify.com/delectable\_incubator/ams-at-jobs-scraper---preiswert-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Jobs, Developer tools, Lead generation
- **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
---
### AMS Austria Jobs Scraper 🔎📊🇦🇹💼
The AMS Austria Jobs Scraper is a fast, reliable, and scalable automation tool designed to extract structured job data directly from jobs.ams.at, one of Austria’s official employment platforms.
It transforms job listings into clean, structured datasets ready for recruitment analytics, market research, and automation workflows.
---
### AMS Österreich Jobs Scraper 🔎💼
Der AMS Jobs Scraper extrahiert automatisch strukturierte Stellenanzeigen von jobs.ams.at.
Ideal für Recruiting, Arbeitsmarktanalysen und datengetriebene HR-Prozesse in Österreich.
---
### 🎯 What This Scraper Does
Simply provide one or more AMS job search URLs, and the scraper will automatically extract structured job data.
✅ Extracts job listings from AMS Austria
✅ Supports multiple URLs in one run
✅ Handles pagination automatically
✅ Cleans and structures job data
✅ Optional detailed job extraction
---
### 📊 Data Extracted
💼 Job Listing Fields
| Field | Description |
| ------------------- | --------------------------------- |
| 🆔 `jobId` | Internal job identifier |
| 🔑 `jobUuid` | Unique job UUID |
| 📝 `title` | Job title |
| 🏢 `company` | Hiring company |
| 📍 `location` | Job location |
| 👨💼 `occupation` | Job category / occupation |
| 📄 `employmentType` | Type of employment |
| ⏱ `workingTime` | Full-time / part-time |
| 📅 `datePosted` | Posting date |
| 🧾 `summary` | Short job summary |
| 🌐 `source` | Source platform |
| 🔗 `detailUrl` | Job detail page URL |
| 💰 `detail_salary` | Salary information (if available) |
| 📧 `detail_email` | Contact email (if available) |
| ☎️ `detail_phones` | Contact phone numbers |
---
### 🛠 How to Use
1️⃣ Configure Input
Provide one or more AMS search URLs:
````
{
"urls": \[
"https://jobs.ams.at/public/emps/jobs?locationId=MUNICIPALITY\_90001\&location=Wien",
"https://jobs.ams.at/public/emps/jobs?page=1\&query=Data%20Scientist"
],
"maxitems": 50,
"fetchDetails": true
}
```
2️⃣ Run the Actor
The scraper will:
• Load each search page
• Automatically paginate results
• Extract structured job data
• Enrich listings with detailed job information (optional)
3️⃣ Export the Dataset
Download your results in multiple formats:
✅ JSON
✅ CSV
✅ Excel
✅ XML
✅ HTML
---
### ⚙️ Input Configuration
#### 📥 Input Example
```
{
"urls": \[
"https://jobs.ams.at/public/emps/jobs?locationId=MUNICIPALITY\_90001\&location=Wien"
],
"maxitems": 50,
"fetchDetails": true
}
```
#### Input Fields
| Field | Type | Description |
| -------------- | ------- | -------------------------- |
| `urls` | array | AMS search URLs |
| `maxitems` | integer | Max jobs per URL |
| `fetchDetails` | boolean | Enable detailed extraction |
---
### 📤 Output Example
```
{
"jobId": "21695550",
"jobUuid": "8c10a8b1-d567-3963-8635-e232f7016663",
"title": "Data Scientist (m/w)",
"company": "H\&R Jobs Agency GmbH",
"location": "1040, Wien",
"occupation": "Data Scientist (m/w)",
"employmentType": "ArbeiterInnen/Angestellte",
"workingTime": "Teilzeit/Vollzeit",
"datePosted": "17.02.2026",
"summary": "Short job description...",
"detailUrl": "https://jobs.ams.at/public/emps/jobs/uuid/8c10a8b1-d567-3963-8635-e232f7016663",
"detail\_salary": "€4.000 brutto / Monat (Vollzeit)",
"detail\_email": "example@email.com",
"detail\_phones": \["+43 677 63141977"]
}
````
---
### 📊 Output explanation
| Field | Description |
| ---------------- | --------------------------------- |
| `jobId` | Internal AMS job identifier |
| `jobUuid` | Unique job UUID |
| `title` | Job position title |
| `company` | Hiring company name |
| `location` | Job location (city / postal area) |
| `occupation` | Job category or profession |
| `employmentType` | Contract type (worker / employee) |
| `workingTime` | Full-time or part-time |
| `datePosted` | Publication date |
| `summary` | Short description of the job |
| `detailUrl` | Direct job listing URL |
| `detail_salary` | Salary details (if available) |
| `detail_email` | Contact email |
| `detail_phones` | Contact phone numbers |
---
### 🌍 Why Use This Scraper?
📊 Labor Market Analysis — Track hiring trends in Austria
💼 Recruitment Intelligence — Identify active employers
📈 Data Insights — Analyze job demand by region & sector
🎯 Lead Generation — Find hiring companies fast
🤖 AI & Automation — Build structured datasets for ML & analytics
⚡ Scalable — Designed for high-volume extraction
---
### ⚠️ Disclaimer
This tool is an independent solution and is not affiliated with or endorsed by AMS Austria (Arbeitsmarktservice Österreich).
---
### 💸 Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
💳 **Price:** $4.79 / 1000 results
---
### Related Actors
If you're interested in other German 🇩🇪, Austrian 🇦🇹, Swiss 🇨🇭, or Dach or European 🇪🇺 scrapers, explore more 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 jobs.ams.at Such-URLs zum Scrapen.
Beispiele:
• https://jobs.ams.at/public/emps/jobs?locationId=MUNICIPALITY_90001&location=Wien&vicinity=100
• https://jobs.ams.at/public/emps/jobs?page=1&query=Data%20Scientist
⚠️ URLs müssen von jobs.ams.at sein.
## `maxitems` (type: `integer`):
Maximale Anzahl an Stellenangeboten pro URL.
## `fetchDetails` (type: `boolean`):
Wenn aktiviert, wird für jedes Stellenangebot die Detailseite aufgerufen und zusätzliche Informationen extrahiert:
• Vollständige Stellenbeschreibung
• Gehalt (Gleichbehandlungsgesetz)
• Kontaktperson + E-Mail + Telefon
• Unternehmenswebsite
• Kompetenzen + Berufserfahrung
• Auftragsnummer
⚠️ Erhöht die Laufzeit je nach Anzahl der Angebote.
## Actor input object example
```json
{
"urls": [
"https://jobs.ams.at/public/emps/jobs?locationId=MUNICIPALITY_90001&location=Wien&vicinity=100&JOB_OFFER_TYPE=SB_WKO&JOB_OFFER_TYPE=IJ&JOB_OFFER_TYPE=BA&JOB_OFFER_TYPE=BZ&JOB_OFFER_TYPE=TN",
"https://jobs.ams.at/public/emps/jobs?page=1&query=Data%20(m%2Fw)&occId=167"
],
"maxitems": 20,
"fetchDetails": false
}
````
# 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://jobs.ams.at/public/emps/jobs?locationId=MUNICIPALITY_90001&location=Wien&vicinity=100&JOB_OFFER_TYPE=SB_WKO&JOB_OFFER_TYPE=IJ&JOB_OFFER_TYPE=BA&JOB_OFFER_TYPE=BZ&JOB_OFFER_TYPE=TN",
"https://jobs.ams.at/public/emps/jobs?page=1&query=Data%20(m%2Fw)&occId=167"
],
"maxitems": 20
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/ams-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://jobs.ams.at/public/emps/jobs?locationId=MUNICIPALITY_90001&location=Wien&vicinity=100&JOB_OFFER_TYPE=SB_WKO&JOB_OFFER_TYPE=IJ&JOB_OFFER_TYPE=BA&JOB_OFFER_TYPE=BZ&JOB_OFFER_TYPE=TN",
"https://jobs.ams.at/public/emps/jobs?page=1&query=Data%20(m%2Fw)&occId=167",
],
"maxitems": 20,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/ams-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://jobs.ams.at/public/emps/jobs?locationId=MUNICIPALITY_90001&location=Wien&vicinity=100&JOB_OFFER_TYPE=SB_WKO&JOB_OFFER_TYPE=IJ&JOB_OFFER_TYPE=BA&JOB_OFFER_TYPE=BZ&JOB_OFFER_TYPE=TN",
"https://jobs.ams.at/public/emps/jobs?page=1&query=Data%20(m%2Fw)&occId=167"
],
"maxitems": 20
}' |
apify call delectable_incubator/ams-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/ams-at-jobs-scraper---preiswert-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "AMS.at Jobs Scraper - Preiswert Low-cost💲🔥💼",
"description": "Scrape job listings from jobs.ams.at 💼🔎 with a powerful Austria jobs scraper.\n\nExtract job titles, companies, locations, occupations, employment types, working time, posting dates, descriptions, and detail URLs.\n\nIdeal for job market analysis and structured employment datasets at scale 📊🚀",
"version": "0.0",
"x-build-id": "lb28g9EIA3GLeZEGk"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~ams-at-jobs-scraper---preiswert-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-ams-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~ams-at-jobs-scraper---preiswert-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-ams-at-jobs-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~ams-at-jobs-scraper---preiswert-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-ams-at-jobs-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": "AMS Austria Search URLs 💼 / AMS Österreich Such-URLs 💼",
"type": "array",
"description": "Liste der jobs.ams.at Such-URLs zum Scrapen.\n\n\n\nBeispiele:\n• https://jobs.ams.at/public/emps/jobs?locationId=MUNICIPALITY_90001&location=Wien&vicinity=100\n• https://jobs.ams.at/public/emps/jobs?page=1&query=Data%20Scientist\n\n⚠️ URLs müssen von jobs.ams.at sein.",
"items": {
"type": "string"
}
},
"maxitems": {
"title": "Maximum listings per URL 📄 / Maximale Angebote pro URL 📄",
"type": "integer",
"description": "Maximale Anzahl an Stellenangeboten pro URL.",
"default": 20
},
"fetchDetails": {
"title": "Fetch detail pages 🔍 / Detailseiten abrufen 🔍",
"type": "boolean",
"description": "Wenn aktiviert, wird für jedes Stellenangebot die Detailseite aufgerufen und zusätzliche Informationen extrahiert:\n\n• Vollständige Stellenbeschreibung\n• Gehalt (Gleichbehandlungsgesetz)\n• Kontaktperson + E-Mail + Telefon\n• Unternehmenswebsite\n• Kompetenzen + Berufserfahrung\n• Auftragsnummer\n\n⚠️ Erhöht die Laufzeit je nach Anzahl der Angebote.",
"default": false
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```