AMS Austria Job Scraper — Austrian Public Employment Service

What does AMS Austria Job Scraper do?

AMS Austria Job Scraper extracts structured job data from jobs.ams.at — including salary data, contact details, company metadata, full descriptions, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them.

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Key features

• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Jobs jobs" pings to your hiring channel.
• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 📧 Email + phone extraction — best-effort contact signals mined from each job description: extractedEmails and extractedPhones surface application emails and phone numbers wherever the employer includes them in the listing text. These are text-mined (not guaranteed for every job), and pair with extractedUrls and socialProfiles.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
• 💰 Structured salary — many AMS listings state pay in the description text. Where they do, it is parsed into best-effort salaryMin / salaryMax / salaryCurrency / salaryType (hourly, monthly, or yearly) — no string parsing on your side. AMS has no structured salary field, so this is text-mined and not present for every job.

What data can you extract from jobs.ams.at?

Each result includes Core listing fields (referenceId, title, occupation, allOccupations, location, postalCode, region, and country, and more), detail fields when enrichment is enabled (description, descriptionHtml, and descriptionMarkdown), contact information (extractedEmails and extractedPhones), and company metadata (employer, employerDescription, and employerWebsite). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job title, skill, or company (e.g., 'Softwareentwickler', 'Pflege', 'SAP').
• location — City, postal code, or region (e.g., 'Wien', 'Graz', '5020'). Aliases like 'locations', 'city', or 'place' are also accepted.
• radiusKm — Include jobs within this many km around the Location. 0 = exact location only. Requires a Location. The portal's presets are 5, 10, 20, 50, 75, 100 km. (default: 0)
• maxResults — Maximum number of job listings to return. Set 0 for unlimited; use carefully because each emitted record is billable. A single search returns at most 10,000 results — narrow the query or location to go deeper. (default: 25)
• mode — Full mode returns all matching jobs. Incremental mode classifies records as NEW, UPDATED, UNCHANGED, REAPPEARED, or EXPIRED. The first run for a new search state has no baseline and may emit all matching jobs; later runs emit only changes unless emitUnchanged or emitExpired is enabled. (default: "full")
• includeDetails — Include the full job description (text/HTML/Markdown) and mined contact info (emails, phones, links) for each listing. AMS returns these in the search response, so there is no extra fetch cost — turn this off only for a lighter record. (default: true)
• bundesland — Pin results to an Austrian federal state. For best performance, combine with a Search Term. (default: "")
• greenJobsOnly — Only return listings the AMS flags as Green Jobs (occupations that help address climate change). (default: false)
• postedWithin — Only jobs updated within this window. (default: "")
• workingTime — Filter by full-time / part-time. (default: "")
• employmentType — Filter by employment relationship. (default: "")
• sortBy — Result ordering. Relevance is the portal default; date sorts newest-first. (default: "relevance")
• ...and 18 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "mode": "full",
  "query": "Softwareentwickler",
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "Softwareentwickler",
  "employmentType": "AA",
  "postedWithin": "LAST_WEEK",
  "maxResults": 100
}

Compact output — Return only core fields for AI agents and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "Softwareentwickler",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "referenceId": "21946034",
  "title": "Softwareentwickler_in C#",
  "employer": "Cops Gesellschaft für angewandte Systemanalyse und Programmierung Ges.m.b.H",
  "occupation": "SoftwareentwicklerIn",
  "allOccupations": [
    "SoftwareentwicklerIn"
  ],
  "location": "Wien,Penzing",
  "postalCode": "1140",
  "region": "Wien",
  "country": "Österreich",
  "lat": 48.19853347600008,
  "lng": 16.27734509100003,
  "isFullTime": true,
  "isPartTime": true,
  "contractType": "ArbeiterInnen/Angestellte",
  "salary": "46000 EUR/yearly",
  "salaryMin": 46000,
  "salaryMax": null,
  "salaryCurrency": "EUR",
  "salaryType": "yearly",
  "publishedDate": "2026-06-15T00:00:00Z",
  "modifiedDate": "2026-06-15T00:00:00Z",
  "requiredEducation": "Lehre/Lehre mit Meisterprüfung",
  "portalUrl": "https://jobs.ams.at/public/emps/e3282504-80d0-3eee-86d6-7006cd2a6c4f",
  "description": "Deine Aufgaben: Du entwickelst mit uns corima, eine universelle Plattform für Backend-/Client-Komponenten in Desktop und WebDu konzipierst und entwickelst neue Module im Backend und FrontendDu bringst...",
  "descriptionHtml": "<p><span class=\"fw-bold\">Deine Aufgaben:</span></p>\n<ul><li class=\"MsoListParagraphCxSpFirst\">Du entwickelst mit uns <span class=\"fst-italic\">corima</span>, eine universelle Plattform für Backend-/Cli...",
  "descriptionMarkdown": "Deine Aufgaben:\n\n- Du entwickelst mit uns corima, eine universelle Plattform für Backend-/Client-Komponenten in Desktop und Web\n- Du konzipierst und entwickelst neue Module im Backend und Frontend\n- D...",
  "employerDescription": "COPS ist ein international tätiges Unternehmen mit Hauptsitz in Wien und Niederlassungen in Deutschland und Tschechien, das sich seit mehr als 40 Jahren erfolgreich auf Beratungsleistungen und die Int...",
  "employerWebsite": null,
  "isGreenJob": false,
  "educationLevels": [
    "Lehre/Lehre mit Meisterprüfung",
    "Matura",
    "Fachhochschule/Universität/pädagogische Hochschule"
  ],
  "jobSource": "Arbeitsmarktservice",
  "geoBoundingBox": null,
  "minSalaryText": "Das Mindestentgelt für die Stelle als Softwareentwickler_in C# beträgt 46.000,00 EUR brutto pro Jahr auf Basis Vollzeitbeschäftigung. Bereitschaft zur Überzahlung.",
  "salaryOverpayment": true,
  "availability": "ab sofort",
  "extractedEmails": [
    "recruiting@copsgmbh.com"
  ],
  "extractedPhones": [],
  "extractedUrls": [],
  "socialProfiles": {
    "linkedin": null,
    "twitter": null,
    "instagram": null,
    "facebook": null,
    "youtube": null,
    "tiktok": null,
    "github": null,
    "xing": null,
    "bluesky": null,
    "threads": null,
    "mastodon": null
  },
  "contentHash": "390b58453433b5349e13e5c140efb8465f8733dc36a8af41d06cf2a44ad5ffbe",
  "scrapedAt": "2026-06-15T12:12:35.442Z",
  "firstSeenAt": null,
  "lastSeenAt": null,
  "changeType": null,
  "isRepost": null,
  "repostOfId": null,
  "repostDetectedAt": null
}

In compact mode, output is reduced to core fields: title, employer, location, region, contractType, isFullTime, isGreenJob, startDate, publishedDate, and salary.

How to scrape jobs.ams.at

1. Go to AMS Austria Job Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from jobs.ams.at for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape jobs.ams.at?

AMS Austria Job Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 25 results: $0.06
• 100 results: $0.21
• 200 results: $0.41
• 500 results: $1.01

FAQ

How many results can I get from jobs.ams.at?

The number of results depends on the search query and available listings on jobs.ams.at. Use the maxResults parameter to control how many results are returned per run.

Can I integrate AMS Austria Job Scraper with other apps?

Yes. AMS Austria Job Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use AMS Austria Job Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use AMS Austria Job Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape jobs.ams.at?

This actor extracts publicly available data from jobs.ams.at. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

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1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.