AMS Austria Jobs Scraper - Billig Cheap ๐Ÿ”Ž๐Ÿ’ผ๐Ÿ‡ฆ๐Ÿ‡น avatar

AMS Austria Jobs Scraper - Billig Cheap ๐Ÿ”Ž๐Ÿ’ผ๐Ÿ‡ฆ๐Ÿ‡น

Pricing

$19.89/month + usage

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AMS Austria Jobs Scraper - Billig Cheap ๐Ÿ”Ž๐Ÿ’ผ๐Ÿ‡ฆ๐Ÿ‡น

AMS Austria Jobs Scraper - Billig Cheap ๐Ÿ”Ž๐Ÿ’ผ๐Ÿ‡ฆ๐Ÿ‡น

Looking to collect job listings from jobs.ams.at? ๐Ÿ’ผ๐Ÿ”Ž With this scraper, you can extract job data including title, company, location, occupation, employment type, working time, posting date, job description, detail URL & much more Perfect for job market analysis & structured datasets ๐Ÿ“Š

Pricing

$19.89/month + usage

Rating

5.0

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Storm_Scraper

Storm_Scraper

Maintained by Community

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1

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2 days ago

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AMS Austria Jobs Scraper ๐Ÿ”Ž๐Ÿ“Š๐Ÿ‡ฆ๐Ÿ‡น๐Ÿ’ผ

The AMS Austria Jobs Scraper is a powerful automation tool designed to extract job listings and structured employment data from the official Austrian job platform jobs.ams.at.

This actor collects job offers directly from search result pages and automatically navigates pagination, ensuring fast, reliable, and complete data extraction.

Perfect for job market analysis, recruitment insights, lead generation, and structured datasets.


๐Ÿ‡ฉ๐Ÿ‡ช

Mรถchten Sie Stellenanzeigen von jobs.ams.at sammeln? ๐Ÿ’ผ๐Ÿ”Ž

Mit diesem Scraper kรถnnen Sie strukturierte Jobdaten extrahieren, einschlieรŸlich Titel, Unternehmen, Standort, Beschรคftigungsart, Arbeitszeit, Verรถffentlichungsdatum, Beschreibung, Detail-URL und vieles mehr.

Ideal fรผr Arbeitsmarktanalysen, Recruiting-Insights und strukturierte Datensรคtze ๐Ÿ“Š


๐ŸŽฏ What This Scraper Does

Simply provide one or more AMS job search URLs, and the actor will:

โœ… Extract job listings automatically

โœ… Support multiple URLs in one run

โœ… Handle pagination automatically

โœ… Clean and structure job data

โœ… (Optional) Extract detailed job information

Each URL can return dozens or hundreds of job listings depending on filters and location.


๐Ÿ“Š Data Extracted

๐Ÿ’ผ Job Listing Fields

FieldDescription
๐Ÿ†” jobIdInternal job identifier
๐Ÿ”‘ jobUuidUnique job UUID
๐Ÿ“ titleJob title
๐Ÿข companyHiring company
๐Ÿ“ locationJob location
๐Ÿ‘จโ€๐Ÿ’ผ occupationOccupational group
๐Ÿ“„ employmentTypeEmployment type (contract type)
โฑ workingTimeWorking time (full-time, part-time)
๐Ÿ“… datePostedPosting date
๐Ÿงพ summaryShort job description
๐ŸŒ sourceSource platform
๐Ÿ”— detailUrlJob detail page URL

๐Ÿ›  How to Use

1๏ธโƒฃ Configure Input

Provide one or more AMS job search URLs:

### ๐Ÿ“ฅ Input Example
{
"urls": [
"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"
],
"maxitems": 50,
"fetchDetails": true
}

2๏ธโƒฃ Run the Actor

The scraper will:

โ€ข Load each search result page

โ€ข Continue until:

maxitems is reached

No more pages are available

3๏ธโƒฃ Export the Dataset

Download your results in multiple formats:

โœ… JSON

โœ… CSV

โœ… Excel

โœ… XML

โœ… HTML


๐Ÿ’ธ Pricing

This scraper runs on a monthly subscription model.

You only pay for successful runs.

๐Ÿ’ณ Price: $19.89 / month


If you're interested in other Rutube, E-commerce, Events, Real Estate, Jobs, Company Leads, YouTube or Facebook scraping solutions, check out these related tools:


You can even apply sentiment analysis on the data text we've extracted! ๐Ÿ˜ƒ๐Ÿ“Š:

โš™๏ธ Input Configuration

๐Ÿ“ฅ Input Example

{
"urls": [
"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"
],
"maxitems": 50,
"fetchDetails": true
}

Input Fields

FieldTypeDescription
urlsarrayList of jobs.ams.at search URLs
maxitemsintegerMaximum number of jobs per URL
fetchDetailsbooleanEnable extraction of detailed job information

๐Ÿ“ค 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": "N/A",
"source": "N/A",
"detailUrl": "https://jobs.ams.at/public/emps/jobs/uuid/8c10a8b1-d567-3963-8635-e232f7016663",
"detail_title": "Data Scientist (m/w)",
"detail_company": "H&R Jobs Agency GmbH",
"detail_source": "eJob-Room des AMS",
"detail_location": "1040, Wien",
"detail_workingTime": "Teilzeit/Vollzeit",
"detail_availableFrom": "Sofort",
"detail_employmentRel": "ArbeiterInnen/Angestellte",
"detail_occupation": "Data Scientist (m/w)",
"detail_education": "Matura",
"detail_lastUpdated": "17.02.2026",
"detail_adgId": "N/A",
"detail_salary": "Das Mindestentgelt fรผr die Stelle als Data Scientist (m/w) betrรคgt 4.000,00 EUR brutto pro Monat auf Basis Vollzeitbeschรคftigung. Bereitschaft zur รœberzahlung.",
"detail_description": "N/A",
"detail_companyDesc": "N/A",
"detail_contact": "Herr Mario Rosin",
"detail_email": "rosin@itjobsaustria.at",
"detail_phones": "0677 63141977, 0677 63141977",
"detail_website": "https://itjobsaustria.at",
"detail_street": "Leopold-Ungar-Platz 2",
"detail_zip": "1190 Wien,Dรถbling",
"detail_competences": "N/A",
"detail_experience": "N/A",
"detail_educationList": "N/A"
},

๐Ÿ“Š Preconfigured Dataset Views

๐Ÿ”Ž Overview Table Includes:

โ€ข Job ID & UUID โ€ข Job title & company โ€ข Location & occupation โ€ข Employment type & working time โ€ข Posting date โ€ข Summary โ€ข Source & detail URL


๐ŸŒ Why Use This Scraper?

๐Ÿ“Š Job Market Analysis
Track hiring trends across Austria

๐Ÿ’ผ Recruitment Insights
Analyze companies, roles, and demand

๐Ÿ“ˆ Lead Generation
Identify hiring companies and opportunities

๐Ÿค– AI & Data Science
Build structured datasets for analytics & machine learning


Disclaimer

This project is an independent tool and is not affiliated with, endorsed by, or sponsored by AMS Austria (Arbeitsmarktservice ร–sterreich).


๐Ÿ“ซ Support & Contact

๐Ÿ˜Š Leave a 5-star rating โญโญโญโญโญ if youโ€™re satisfied

๐ŸŒช๏ธ Storm Scraper https://apify.com/scrapestorm

For questions, feature requests, or custom scraping solutions, contact us directly via Apify or email.