AMS Austria Scraper - Government Job Portal

Extract job listings from jobs.AMS.at, Austria's official public employment service with 100,000+ jobs. Get title, company, location, Bundesland, employment type & job details. Ideal for recruiters, HR platforms & job aggregators targeting the Austrian market.

Open on Apify →

Pricing

Runtime

Cloud (Apify)

Proxy

Datacenter

What You Can Scrape

HTTP-Only: No browser needed -- uses AMS search + detail APIs directly
Automatic HMAC Key Extraction: Extracts authentication key from JS bundle if hardcoded key becomes stale
Multi-Query Search: Run multiple search keywords in a single actor run with cross-query deduplication
Direct URL Mode: Check status of specific job listings by URL
Full Job Details: Optional detailed scraping including contact information via API
Per-Query Limits: Control how many results each keyword produces

What You Get

title: Job title exactly as posted on AMS, e.g. Software Developer (m/w/d)
salary_min / salary_max: Structured salary bounds in EUR with salary_period (monthly) and salary_text in Austrian format
bundesland / canton: Austrian federal state code - unique to AMS and essential for regional labour-market analysis
contact_email / contact_phone: Recruiter contact details unlocked via the AMS detail API (requires includeJobDetails: true)
employment_type: Normalised to full-time, part-time, or minor-employment (Geringfuegig)
posted_at / scraped_at: ISO 8601 timestamps for freshness tracking and deduplication pipelines

Input Example

{
  "searchQueries": ["Software Developer", "Kellner", "Mechaniker"],
  "location": "Wien",
  "bundesland": "Wien",
  "employmentType": "Vollzeit",
  "maxResultsPerQuery": 100,
  "maxResults": 0,
  "includeJobDetails": true
}

Output Example

{
  "id": "8f68a1bd-de9e-3e00-8c17-657654868a92",
  "title": "Software Developer (m/w/d)",
  "company": "Example GmbH",
  "location": "1010 Wien",
  "canton": "W",
  "country": "AT",
  "salary_min": 3000,
  "salary_max": 4500,
  "salary_currency": "EUR",
  "salary_period": "monthly",
  "salary_text": "EUR 3.000,00 brutto pro Monat",
  "employment_type": "full-time",
  "description_full": "We are looking for a motivated Software Developer...",
  "requirements": ["Bachelor degree", "3+ years experience"],
  "posted_at": "2026-01-15T00:00:00.000Z",
  "source_url": "https://jobs.ams.at/public/emps/jobs/uuid/8f68a1bd-de9e-3e00-8c17-657654868a92",
  "source_platform": "ams.at",
  "contact_email": "[email protected]",
  "contact_phone": "+43 1 234 5678",
  "search_query": "Software Developer",
  "scraped_at": "2026-03-18T10:30:00.000Z"
}

Who Should Use This

This actor is built for Austrian HR tech platforms and job aggregators that need the official government source rather than commercial boards. Labour market analysts and public employment researchers use it to track vacancy velocity across all nine Bundeslaender. Staffing agencies targeting the DACH region value the structured salary and direct recruiter contact fields, which AMS mandates employers to register, making coverage more complete than private boards. Compared to scraping karriere.at or stepstone.at, AMS data is legally required to be comprehensive -- employers must register vacancies with AMS before filling them.

Integrations

n8n / Make / Zapier — trigger runs and process results via webhook
AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
Python / Node.js — Apify SDK for programmatic access
Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run ams-at-scraper in your browser - no code, no install. In the Apify console you get:

One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

Sign up for a free Apify account (Google, GitHub, or email).
Go to Settings → Integrations → API tokens.
Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~ams-at-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/ams-at-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/ams-at-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/ams-at-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/ams-at-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/ams-at-scraper

Example prompt once connected:

"Use <code>ams-at-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
Set Actor to santamaria-automations/ams-at-scraper.
Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).

Create a new Zap with any trigger.
Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~ams-at-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Body: your input JSON. Content-Type: application/json.

Create a new scenario.
Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~ams-at-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
Parse the response with a JSON module to iterate items downstream.

Create a new workflow.
Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~ams-at-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Access steps.http.$return_value in subsequent steps.

Install the API Connector plugin.
Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~ams-at-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
Initialize the call with your input, then reference the response array in workflow actions.