Arbeitsagentur Jobs Feed — German Federal Employment Agency

What does Arbeitsagentur Jobs Feed do?

Arbeitsagentur Jobs Feed extracts structured job data from arbeitsagentur.de — including salary data, contact details, company metadata, full descriptions, remote-work indicators, 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 Arbeitsagentur 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.
• 🔗 Paste-mode — paste any arbeitsagentur.de URL straight from your browser — single-job pages, search-results URLs, or category SEO URLs. Build the search you want in the UI, copy the URL, paste it here.
• 📋 Detail enrichment — two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration.
• 📧 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 — salary parsed into structured salaryMin / salaryMax / salaryCurrency / salaryType (hourly, monthly, or yearly) wherever the employer specifies pay — no string parsing on your side.

What data can you extract from arbeitsagentur.de?

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 (employerContactInfo, extractedEmails, and extractedPhones), and company metadata (employer, employerDescription, employerWebsite, and employerSize). 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 or keyword (e.g., 'Software Developer', 'Krankenpfleger')
• location — City or region (e.g., 'Berlin', 'München', 'Hamburg')
• maxResults — Maximum number of job listings to return. Set 0 for unlimited; use carefully because each emitted record is billable. (default: 25)
• startUrls — Paste specific arbeitsagentur.de job links to scrape exactly those listings instead of running a search. Accepts portal and job-detail URLs. When provided, the search term and filters are ignored.
• mode — Full mode returns all matching jobs. Incremental mode classifies records as NEW, UPDATED, UNCHANGED, REAPPEARED, or EXPIRED. 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 — Fetch full job description, employer profile, benefits, and structured salary range (where the employer specifies pay) for each listing. Slower but richer data. (default: false)
• radius — Radius around location in km (default: 0)
• contractType — Filter by contract duration (default: "")
• jobType — Filter by listing type (default: "")
• workType — Filter by working hours (default: "")
• bundesland — Filter by German federal state. For best performance, combine with a location — broad queries scoped only to a sparse state may take longer to complete. (default: "")
• remoteOnly — Only show jobs with home office option (default: false)
• ...and 24 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": "Software Developer",
  "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": "Software Developer",
  "contractType": "",
  "jobType": "",
  "workType": "",
  "maxResults": 100
}

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

→ Small payload with jobId, title, company, location, url, and a few other key fields.

{
  "query": "Software Developer",
  "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": "12862-244163-S",
  "title": "Oracle / PL/SQL Entwickler (m/w/d)",
  "employer": "AMADEUS FIRE AG",
  "occupation": "Datenbankentwickler/in",
  "allOccupations": [
    "Datenbankentwickler/in"
  ],
  "location": "Berlin",
  "postalCode": "10969",
  "region": "BERLIN",
  "country": "DEUTSCHLAND",
  "lat": 52.502048591,
  "lng": 13.401446278,
  "isFullTime": true,
  "isPartTime": false,
  "isPartTimeMorning": false,
  "isPartTimeAfternoon": false,
  "isPartTimeEvening": false,
  "isNightOrWeekendShift": false,
  "isMiniJob": false,
  "isRemote": false,
  "remoteType": null,
  "remotePercentage": null,
  "contractType": "UNBEFRISTET",
  "contractDurationMonths": null,
  "contractEndDate": null,
  "salary": "JAHRESGEHALT",
  "salaryMin": 65000,
  "salaryMax": 75000,
  "salaryCurrency": "EUR",
  "salaryType": "yearly",
  "startDate": "2026-06-09",
  "publishedDate": "2026-04-13",
  "firstPublishedDate": "2026-04-13",
  "modifiedDate": "2026-06-02T07:04:46.279",
  "isCareerChange": false,
  "isTemporaryStaffing": false,
  "isPrivateAgency": true,
  "requiredEducation": null,
  "trainingType": null,
  "studyForm": null,
  "studyProgram": null,
  "isDisabilityFriendly": false,
  "cipherNumber": null,
  "externalUrl": null,
  "isExternal": false,
  "portalUrl": "https://www.arbeitsagentur.de/jobsuche/suche?id=12862-244163-S",
  "distanceKm": 2,
  "description": "Für ein etabliertes Versicherungsunternehmen im Herzen Berlins suchen wir eine engagierte Fachkraft, die die Weiterentwicklung zentraler Anwendungen auf Oracle-Basis vorantreibt. In dieser Rolle arbei...",
  "descriptionHtml": null,
  "descriptionMarkdown": "Für ein etabliertes Versicherungsunternehmen im Herzen Berlins suchen wir eine engagierte Fachkraft, die die Weiterentwicklung zentraler Anwendungen auf Oracle-Basis vorantreibt. In dieser Rolle arbei...",
  "allianzPartnerName": "Amadeus FiRe AG",
  "allianzPartnerUrl": "www.amadeus-fire.de",
  "employerDescription": "Die Amadeus FiRe AG ist seit mehr als 30 Jahren der spezialisierte Personaldienstleister im kaufmännischen und IT-Bereich für Zeitarbeit, Personalvermittlung und Interim Management. Zusammen mit den k...",
  "employerWebsite": "http://www.amadeus-fire.de/berlin",
  "employerSize": null,
  "employerFoundedYear": null,
  "employerHQ": null,
  "employerBenefits": [],
  "employerSocialMedia": [],
  "employerContactInfo": null,
  "extractedEmails": [],
  "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": "7a4dd9b5458bdcb1e92c94efd5ae2d5ce63bcb04ee9488a673c57f33014ee920",
  "scrapedAt": "2026-06-03T05:10:14.336Z",
  "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, isRemote, startDate, publishedDate, and salary.

How to scrape arbeitsagentur.de

1. Go to Arbeitsagentur Jobs Feed 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 arbeitsagentur.de 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 arbeitsagentur.de?

Arbeitsagentur Jobs Feed 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 arbeitsagentur.de?

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

Can I integrate Arbeitsagentur Jobs Feed with other apps?

Yes. Arbeitsagentur Jobs Feed 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 Arbeitsagentur Jobs Feed 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 Arbeitsagentur Jobs Feed 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 arbeitsagentur.de?

This actor extracts publicly available data from arbeitsagentur.de. 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

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