Arbeitsagentur Scraper: German Job Ads & Bundesagentur für Arbeit 🇩🇪

This Arbeitsagentur Scraper pulls job and Ausbildung listings straight from arbeitsagentur.de, built on the site's internal API, not a headless browser. Every ad comes back enriched with full company profile and contact details, not just the search-result snippet.

⚡ Why this Arbeitsagentur Scraper

• Most complete dataset available for this source. Merges three separate upstream endpoints (search results, company profile, contact details) into one flat record per ad. Most alternative arbeitsagentur.de scrapers only give you the search snippet.
• CAPTCHA solved automatically. The Arbeitsagentur contact endpoint is protected by an image captcha. This actor runs its own OCR solver, so contact details (email, phone, application links) come back without manual intervention.
• All public data only. Everything returned here is publicly visible on arbeitsagentur.de. No login bypass, no private data access, no ToS-violating scraping technique. Just structured extraction of what's already public.
• Proxies included. Residential proxy pool is built in. You don't need to bring your own.
• Fast. No browser, no rendering wait. Pure HTTP calls to the same API the arbeitsagentur.de frontend uses.

🎯 Who uses this

• Recruitment agencies & staffing firms sourcing candidates or tracking which German employers are hiring right now, by profession and city.
• Labor market researchers & HR analysts studying hiring trends, salary disclosure, remote-work adoption, or Ausbildung/apprenticeship volume across German regions.
• Lead-generation teams grabbing employer contact info (email, phone, HQ, company size) attached to an active hiring signal, which is a warmer lead than a cold list.
• Job boards & career sites mirroring or enriching listings with Bundesagentur für Arbeit data, including Ausbildung and dual-study programs.
• Developers building job-matching tools or ATS integrations who need clean structured JSON instead of scraping arbeitsagentur.de pages by hand.

🧾 What you get, per job ad

• Job details: title, profession, offer type, training type, salary by year, working hours, remote eligibility, dates
• Company profile: description, size, founding year, headquarters, photos, social links, employee benefits
• Contact details: name, email, phone, postal address, accepted application methods
• Optional keyword matching flag (word_match) against your own keyword list

(field descriptions below; full list of ~60 fields is also documented in the actor's dataset schema, visible in the Output tab)

📊 Data Fields

💼 Job Details

Field	Description
job_title	Job posting title
main_profession	Primary profession/occupation category
job_offer_type	Type of job offer (e.g. Ausbildung, dual study)
training_type	Type of vocational training
reference_number	Arbeitsagentur reference number for the ad
reference_code	Employer's own reference/chiffre code
external_url	External application URL, if the employer posts off-platform
suitable_for_career_changers	Whether career changers are accepted
study_format	Dual study format, if applicable
degree_program	Degree program name, if applicable
training_salary_year_1	Training salary, year 1
training_salary_year_2	Training salary, year 2
training_salary_year_3	Training salary, year 3
training_salary_year_4	Training salary, year 4
salary_disclosure	General salary/pay disclosure text
contract_duration	Contract duration, if fixed-term
shift_night_weekend_work	Whether shift/night/weekend work is required
full_time	Full-time position
part_time_morning/afternoon/evening/flexible	Part-time availability windows
remote_work_possible	Whether remote/home office work is possible
is_minor_employment	Whether this is minor/marginal employment (Minijob)
disability_required	Whether a disability status is required
is_private_employment_agency	Whether posted by a private employment agency
is_temp_staffing	Whether this is temp/staffing agency work
is_managed_account	Whether the employer account is agency-managed
job_locations	List of job location objects (address, city, coordinates)
start_date_range	Earliest/latest possible start date range
publication_period	Publication date range used in the search filter
first_published_date	Date the ad was first published
last_modified_date	Date the ad was last modified
all_professions	All profession codes associated with the ad
employer_customer_id_hash	Hashed employer customer ID, used to fetch company profile

🏢 Company Profile

Field	Description
company	Company/employer name
company_description	Company profile description text
company_headquarters	Company headquarters city
company_size	Company size category
founding_year	Year the company was founded
company_images	List of company photo URLs
company_links	Company website/other links by type
social_media_links	Company social media links by platform
company_tags	Company profile tags/keywords
company_employee_benefits	List of employee benefits offered
company_contact_information	Raw company contact info block
similar_search_terms	Related search terms suggested by the API

📇 Contact & Application

Field	Description
contact_name	Contact person's full name
contact_company	Contact person's company name
contact_salutation	Contact person's salutation
contact_email	Contact email address
contact_phone	Contact phone number, formatted
contact_address	Contact postal address
apply_via_arbeitsagentur_de	Whether applications go through arbeitsagentur.de
apply_online	Whether online applications are accepted
apply_by_email	Whether applications can be sent by email
apply_in_person	Whether in-person applications are accepted
apply_in_writing	Whether written/postal applications are accepted
apply_by_phone	Whether phone applications are accepted
application_form_url	URL to the online application form
required_documents	List of documents required to apply

🎯 Matching

Field	Description
word_match	true if the ad matched any keyword from your matchWords input

🔧 Input options

Field	Description
query	Search keyword (job title, profession)
cities	One or more German cities (multi-select)
zipCode + area	Radius search around a ZIP code (10 to 200 km)
publishedSince	Today / yesterday / 1 / 2 / 4 weeks
workingHours	Full time / part time
matchWords	Your own keyword list, flags matching ads
maxResults	How many ads to fetch total

📋 Example output

[
  {
    "job_title": "Kaufmann/-frau – Büromanagement (m/w/d)",
    "main_profession": "Kaufmann/-frau - Büromanagement",
    "job_offer_type": "AUSBILDUNG",
    "training_type": "AUSBILDUNG",
    "reference_number": "10000-1207136463-S",
    "reference_code": null,
    "external_url": null,
    "suitable_for_career_changers": null,
    "study_format": null,
    "degree_program": null,
    "training_salary_year_1": 937,
    "training_salary_year_2": 964,
    "training_salary_year_3": 1062,
    "training_salary_year_4": 1121,
    "salary_disclosure": "AUSBILDUNGSVERGUETUNG_NACH_JAHREN",
    "contract_duration": "KEINE_ANGABE",
    "shift_night_weekend_work": false,
    "full_time": true,
    "part_time_morning": false,
    "part_time_afternoon": false,
    "part_time_evening": false,
    "part_time_flexible": false,
    "remote_work_possible": null,
    "is_minor_employment": null,
    "job_locations": [
      {
        "address": {
          "street": "Roßstr.",
          "house_number": "124",
          "zip_code": "40476",
          "city": "Düsseldorf",
          "region": "NORDRHEIN_WESTFALEN",
          "country": "DEUTSCHLAND"
        },
        "latitude": 51.249915,
        "longitude": 6.7746735
      }
    ],
    "start_date_range": {
      "from": "2026-09-01"
    },
    "publication_period": {
      "from": "2026-07-09"
    },
    "first_published_date": "2026-07-09",
    "last_modified_date": "2026-07-09T11:12:52.717",
    "all_professions": [
      "Kaufmann/-frau - Büromanagement"
    ],
    "company": "Jens in der Strodt GmbH & Co. KG",
    "company_description": null,
    "company_headquarters": null,
    "company_size": null,
    "founding_year": null,
    "company_images": [],
    "company_links": {},
    "social_media_links": {},
    "company_tags": null,
    "company_employee_benefits": null,
    "company_contact_information": null,
    "contact_company": "Jens in der Strodt GmbH & Co.KG",
    "contact_name": {
      "first_name": "Kirsten",
      "last_name": "Glasmacher"
    },
    "contact_salutation": "FRAU",
    "contact_email": "info@strodt.de",
    "contact_phone": null,
    "contact_address": {
      "street": "Roßstr.",
      "house_number": "124",
      "zip_code": "40476",
      "city": "Düsseldorf",
      "region": "NORDRHEIN_WESTFALEN",
      "country": "DEUTSCHLAND"
    },
    "apply_via_arbeitsagentur_de": false,
    "apply_by_email": true,
    "apply_in_person": false,
    "apply_in_writing": false,
    "apply_by_phone": false,
    "apply_online": false,
    "application_form_url": null,
    "required_documents": "Lebenslauf, Zeugnisse",
    "word_match": false
  },
  {
    "job_title": "Auszubildende zur Medizinischen Fachangestellten (w/m/d)",
    "main_profession": "Medizinische/r Fachangestellte/r",
    "job_offer_type": "AUSBILDUNG",
    "training_type": "AUSBILDUNG",
    "reference_number": "14933-01782021e50c46b-S",
    "reference_code": null,
    "external_url": null,
    "suitable_for_career_changers": false,
    "study_format": null,
    "degree_program": null,
    "training_salary_year_1": null,
    "training_salary_year_2": null,
    "training_salary_year_3": null,
    "training_salary_year_4": null,
    "salary_disclosure": "KEINE_ANGABEN",
    "contract_duration": "KEINE_ANGABE",
    "shift_night_weekend_work": false,
    "full_time": true,
    "part_time_morning": false,
    "part_time_afternoon": false,
    "part_time_evening": false,
    "part_time_flexible": false,
    "remote_work_possible": false,
    "is_minor_employment": false,
    "job_locations": [
      {
        "address": {
          "street": "Paul-Thomas-Str.",
          "house_number": "58",
          "zip_code": "40599",
          "city": "Düsseldorf",
          "region": "NORDRHEIN_WESTFALEN",
          "country": "DEUTSCHLAND"
        },
        "latitude": 51.17292,
        "longitude": 6.8541885
      }
    ],
    "start_date_range": {
      "from": "2026-07-09"
    },
    "publication_period": {
      "from": "2026-07-09"
    },
    "first_published_date": "2026-07-09",
    "last_modified_date": "2026-07-09T10:41:53.225",
    "all_professions": [
      "Medizinische/r Fachangestellte/r"
    ],
    "company": "Ober Scharrer Gruppe GmbH",
    "company_description": null,
    "company_headquarters": null,
    "company_size": null,
    "founding_year": null,
    "company_images": [],
    "company_links": {
      "Homepage": "https://www.osg.de"
    },
    "social_media_links": {},
    "company_tags": null,
    "company_employee_benefits": null,
    "company_contact_information": null,
    "contact_company": "Ober Scharrer Gruppe GmbH",
    "contact_name": {
      "first_name": "Fatma",
      "last_name": "Hacivelioglu"
    },
    "contact_salutation": "FRAU",
    "contact_email": "bewerbung@osg.de",
    "contact_phone": null,
    "contact_address": {
      "street": "Dr-Mack-Str 88",
      "zip_code": "90762",
      "city": "Fürth, Bayern",
      "region": "BAYERN",
      "country": "DEUTSCHLAND"
    },
    "apply_via_arbeitsagentur_de": false,
    "apply_by_email": false,
    "apply_in_person": false,
    "apply_in_writing": false,
    "apply_by_phone": false,
    "apply_online": true,
    "application_form_url": "https://jobs.osg.de/stellenangebote/565225998?ref=2210111000&utm_medium=organic&utm_source=arbeitsagentur",
    "required_documents": "Anschreiben, Lebenslauf und Zeugnisse",
    "word_match": false
  }
]

💳 Pricing

Pay-per-result. You're charged for ads actually delivered, not for pages fetched or requests made.

❓ FAQ

Do I need my own proxies? No. Residential proxies are built into the actor, no separate proxy charge, nothing to configure.

Does this cover Ausbildung and dual-study listings, not just regular jobs? Yes. job_offer_type and training_type distinguish regular positions from Ausbildung and Duales Studium, with training-year salary fields filled in whenever the employer discloses them.

Is this Arbeitsagentur Scraper different from other arbeitsagentur.de scrapers on the store? Yes. Most only return the search snippet. This one adds full company profile and captcha-protected contact data on top.

Why do I get contact details when other arbeitsagentur.de scrapers don't? Because arbeitsagentur.de puts an image captcha in front of that specific endpoint. This actor solves it automatically on every run instead of skipping that data.

Is this legal? Everything scraped here is publicly visible on arbeitsagentur.de to any visitor. No login, no private data, no bypass of anything besides a captcha on a public page. As always, check your own use case against GDPR if you're storing personal contact data.

How fresh is the data? Arbeitsagentur.de updates continuously, and this actor queries live at run time, so you always get the current state of the listing, not a cached snapshot.

⚠️ Notes

• Free-tier accounts are capped at a small sample size per run. Upgrade to a paid Apify plan for full volume.
• Data reflects what's publicly listed on arbeitsagentur.de at the time of the run; the source updates continuously.

🔗 See also

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