# Bundesagentur für Arbeit Jobsuche Scraper - German Jobs (`scrapingmonkey/bundesagentur-fur-arbeit-scraper`) Actor

Extract Bundesagentur Jobsuche vacancies and full job details with employers, locations and published requirements for German hiring research. Choose the collection mode and set a result limit for each input.

- **URL**: https://apify.com/scrapingmonkey/bundesagentur-fur-arbeit-scraper.md
- **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community)
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

Collect public Jobsuche vacancies and complete job details with **Bundesagentur für Arbeit Scraper**. Compare occupations, contract duration, working-time options and disclosed pay while retaining the employer and original application destination. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login.

Use the results for German labour-market research. Submit matching public inputs in one run, retain the original record links, and send the structured output to your recruitment spreadsheet, reporting dashboard or research database.

| At a glance | Details |
|---|---|
| 📥 Input | Search fields or links to the selected items; see the examples below |
| 📤 Output | One row per job vacancy |
| 📄 Pagination | Automatic up to `maxResults` for each input, when more results are available |
| 🔐 Login required | No |
| ⚡ Processing | Multiple inputs per run with automatic retries for temporary errors |
| 💾 Delivery | One complete Apify dataset table; CSV, JSON and Excel export |

### What the Bundesagentur für Arbeit scraper collects 💼

Collect Jobsuche vacancies and complete job details. Compare occupations, contract duration, working-time options and disclosed pay while retaining the employer and original application destination.

| Collection | What you receive |
|---|---|
| Bundesagentur Jobsuche jobs scraper | Records containing job titles, employers, locations, published pay, ready for vacancy discovery and hiring-demand research. |
| Bundesagentur Jobsuche job details scraper | Records containing job titles, employers, locations, published pay, descriptions, ready for vacancy enrichment and candidate-requirement analysis. |

Data can include:

- Record identity: Record identifiers, public links and the published job title or company name.
- Pay and compensation: Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record.
- Employer information: Employer names, identifiers and profile links, with the company information attached to the public record.
- Location and workplace: Published workplace and location information, addresses, geographic coordinates and remote or workplace-arrangement indicators.
- Descriptions and requirements: Published job or company descriptions.
- Skills and qualifications: Occupation classification.
- Employment and benefits: Employment and contract types and working hours and schedule information.
- Dates and hiring activity: Publication and update information.

### How to scrape Bundesagentur für Arbeit 🚀

1. Choose **Job Search** in **What to collect**, or select another collection mode.
2. Fill in the search fields, or paste links to the items you want to collect.
3. Set the maximum results and any optional filters.
4. Start the Actor and review the collected rows.
5. Export the dataset or connect it to your application.

#### Bundesagentur Jobsuche jobs scraper — input example

```json
{
  "mode": "ba_search",
  "query": "Buchhalter",
  "location": "Berlin",
  "maxResults": 10
}
```

`maxResults: 10` means up to 10 results for **each input**. It does not guarantee that the website has that many matches. You can set the limit as low as 1.

#### Bundesagentur Jobsuche job details scraper — input example

```json
{
  "mode": "ba_details",
  "jobUrls": [
    "https://www.arbeitsagentur.de/jobsuche/jobdetail/20357-00004b02b77001-S"
  ],
  "maxResults": 10
}
```

### Bundesagentur für Arbeit data fields and complete output 📦

| Field group | Included data |
|---|---|
| Record identity | Record identifiers, public links and the published job title or company name. |
| Pay and compensation | Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record. |
| Employer information | Employer names, identifiers and profile links, with the company information attached to the public record. |
| Location and workplace | Published workplace and location information, addresses, geographic coordinates and remote or workplace-arrangement indicators. |
| Descriptions and requirements | Published job or company descriptions. |
| Skills and qualifications | Occupation classification. |
| Employment and benefits | Employment and contract types and working hours and schedule information. |
| Dates and hiring activity | Publication and update information. |

Each collected item is a separate row. `input` identifies the submitted value and `result_type` identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty.

A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change.

#### Bundesagentur Jobsuche jobs scraper — complete JSON result

```json
{
  "result_type": "ba_search",
  "input": "https://www.arbeitsagentur.de/jobsuche/suche?suchbereich=jobs&wo=Deutschland",
  "status": "success",
  "id": "10001-1003733811-S",
  "url": "https://www.arbeitsagentur.de/jobsuche/jobdetail/10001-1003733811-S",
  "title": "Redakteur:in/Realisator:in TV und Web (m/w/d)",
  "company_name": "Novo Film GmbH",
  "employer_hash": "yktgxAnrnkKF84Q8lu6gzoRYT5uq4vzDn6PTgwtrM1w=",
  "occupation": "Redakteur/in",
  "offer_type": "ARBEIT",
  "contract_duration": "UNBEFRISTET",
  "remote_type": null,
  "published_at": "2026-09-20",
  "updated_at": "2026-09-20T12:59:44.068",
  "external_url": null,
  "remote_possible": null,
  "locations.postal_code": [
    "30169"
  ],
  "locations.city": [
    "Hannover"
  ],
  "locations.region": [
    "NIEDERSACHSEN"
  ],
  "locations.country": [
    "DEUTSCHLAND"
  ],
  "locations.latitude": [
    52.358202
  ],
  "locations.longitude": [
    9.743832
  ],
  "start_period.from": "2026-09-20",
  "start_period.to": null,
  "salary.disclosure": "KEINE_ANGABEN",
  "salary.fixed_amount": null,
  "salary.minimum": null,
  "salary.maximum": null,
  "working_time.full_time": true,
  "working_time.part_time_morning": null,
  "working_time.part_time_afternoon": null,
  "working_time.part_time_evening": null,
  "working_time.part_time_flexible": null,
  "working_time.shifts_nights_weekends": null
}
```

#### Bundesagentur Jobsuche job details scraper — complete JSON result

```json
{
  "result_type": "ba_details",
  "input": "https://www.arbeitsagentur.de/jobsuche/jobdetail/20357-00004b02b77001-S",
  "status": "success",
  "id": "20357-00004b02b77001-S",
  "url": "https://www.arbeitsagentur.de/jobsuche/jobdetail/20357-00004b02b77001-S",
  "title": "Junior C# / .net Softwareentwickler (m/w/d",
  "company_name": "Scheidt & Bachmann GmbH",
  "employer_hash": "oOvrE8f-sF2AvEf1NGHyHP7IY_b-ZibxREba9phMJkc=",
  "occupation": "Fachinformatiker/in - Anwendungsentwicklung",
  "offer_type": "ARBEIT",
  "contract_duration": "UNBEFRISTET",
  "remote_type": "NACH_VEREINBARUNG",
  "published_at": "2026-09-15",
  "updated_at": "2026-09-17T14:26:01.382",
  "external_url": null,
  "remote_possible": true,
  "locations.postal_code": [
    "41238"
  ],
  "locations.city": [
    "Mönchengladbach"
  ],
  "locations.region": [
    "NORDRHEIN_WESTFALEN"
  ],
  "locations.country": [
    "DEUTSCHLAND"
  ],
  "locations.latitude": [
    51.1659057
  ],
  "locations.longitude": [
    6.4800919
  ],
  "start_period.from": "2026-09-17",
  "start_period.to": null,
  "salary.disclosure": "KEINE_ANGABEN",
  "salary.fixed_amount": null,
  "salary.minimum": null,
  "salary.maximum": null,
  "working_time.full_time": false,
  "working_time.part_time_morning": true,
  "working_time.part_time_afternoon": true,
  "working_time.part_time_evening": false,
  "working_time.part_time_flexible": false,
  "working_time.shifts_nights_weekends": false,
  "description": "Junior C# / .net Softwareentwickler (m/w/d) für industrielle Anwendungen (Wirtschaftsinformatikerin / Fachinformatikerin / IT-Systemelektronikerin)\n\nzur Unterstützung im Bereich Operational Technology am Standort Mönchengladbach.\n\nScheidt & Bachmann - Mobilität, die verbindet\n\nOb beim Bahnfahren, Parken, Tanken bzw. Laden oder bei der Nutzung des öffentlichen Nahverkehrs – mit großer Wahrscheinlichkeit hast du dabei schon unsere Technik genutzt. Seit über 150 Jahren entwickeln wir innovative und nachhaltige Systeme für eine Mobilitätsinfrastruktur, die weltweit Menschen und Güter sicher, schnell und komfortabel ans Ziel bringt. Als Familienunternehmen leben wir Werte wie Vertrauen, Verlässlichkeit und Zusammenhalt – und gestalten gemeinsam die Mobilität von morgen.\n\nDeine Aufgaben\n\n- Du möchtest Software entwickeln, die Produktion und Logistik smarter macht? Du entwickelst Anwendungen für unsere Produktions- und Logistikprozesse.\n- Du möchtest Systeme miteinander verbinden und Prozesse digitalisieren? Du unterstützt bei der Anbindung von ERP-, Produktions- und Lagerverwaltungssystemen und unterstützt beim Aufbau moderner Schnittstellen und APIs.\n- Du möchtest Software entwickeln, die in der Praxis wirklich genutzt wird? Du setzt Anforderungen aus den Fachbereichen in passgenaue Softwarelösungen um. Dabei testest du Anwendungen und sorgst für stabile Abläufe.\n- Du möchtest Dich fachlich weiterentwickeln und Schritt für Schritt Verantwortung übernehmen? Du begleitest die Einführung neuer Systeme und Prozesse.\n\nDas bringst du mit\n\n- Abschluss: Ausbildung oder Studium im Bereich Informatik, Wirtschaftsinformatik oder einer vergleichbaren Fachrichtung\n- Erste Erfahrungen in der Softwareentwicklung mit C# und .NET\n- Grundkenntnisse im Umgang mit Datenbanken\n- Interesse an Schnittstellen, Systemintegration und digitalen Prozessen\n- Sehr gute Deutschkenntnisse, gute Englischkenntnissesowie Arbeitserlaubnis für die EU\n- Freude an der Zusammenarbeit mit unterschiedlichen Fachbereichen\n- Teamfähigkeit und strukturierte Arbeitsweise\n\nWir bieten\n\n-  Eine unbefristete Anstellung in einem innovativen, krisensicheren und etablierten Unternehmen, in dem Vielfalt und Gleichstellung zu unserer DNA gehören\n\n-  Work-Life-Balance: Freu dich auf eine flexible Arbeitszeitgestaltung, Home-Office- und Teilzeitmöglichkeiten, Bike Leasing, Urban Sports Club und unseren Kinderbetreuungszuschuss\n\n-  Gute Verpflegung: Entdecke das abwechslungsreiche Essensangebot in unserem modernen Betriebsrestaurant\n\n-  Strukturierte Einarbeitung und Buddy-Programm: Wir wollen, dass du dich von Beginn an wohlfühlst und dein Know-how direkt einbringen kannst\n\n-  Personalentwicklungs- und Weiterbildungsprogramme: Entwickle dich kontinuierlich weiter, um deinem Team immer wieder neue Impulse zu geben\n\n-  Jede Menge Wertschätzung: Eine attraktive Vergütung ist für uns ebenso selbstverständlich wie ein kollegiales Miteinander auf Augenhöhe\n\nHast du Interesse?\n\nFür weitere Fragen kontaktiere:\n\nFrank Dohmen\n\n+49 2166 266-253\n\n[Karriere bei Scheidt & Bachmann](http://www.scheidt-bachmann.de/karriere)\n\n[Karriere-Videos](http://www.scheidt-bachmann.de/karriere/arbeiten-bei-scheidt-bachmann/)\n\nBewirb dich jetzt!\n\nWenn es dich reizt, dich in unserem innovativen Familienunternehmen einzubringen, dann bewirb dich jetzt unter Angabe deiner Gehaltsvorstellungen.\n\nScheidt & Bachmann GmbH · Breite Straße 132 · 41238 Mönchengladbach · DE · www.scheidt-bachmann.com · [Impressum](https://www.scheidt-bachmann.de/de/impressum/) · [Datenschutz](%20https%3A//www.scheidt-bachmann.de/de/datenschutz/)",
  "recruitment_agency": false,
  "temporary_agency": false,
  "source_partner": "Scheidt & Bachmann GmbH",
  "source_partner_url": "www.scheidt-bachmann.de"
}
```

Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with `status: failed`. At most one failed row is saved per input; it includes `error_code` and `error_message` explaining the outcome. A normal end of pagination after collected results does not add a failed row.

### Input requirements and collection settings ⚙️

| Setting | What to enter |
|---|---|
| **What to collect** (`mode`) | Choose the information to collect. |
| **Maximum results per search or link** (`maxResults`) | Collect up to this many results for each search or link. Minimum: 1. |
| **Job title or keywords** (`query`) | Words to search for in job listings. Leave empty to include all jobs. For Job Search. |
| **Location** (`location`) | City or region to search in. Leave empty to search all locations. For Job Search. |
| **Job listing links** (`jobUrls`) | Paste one link per line. Example: https://www.arbeitsagentur.de/jobsuche/jobdetail/20357-00004b02b77001-S For Job Details. |

| Collection mode | Fields to use |
|---|---|
| Job Details | **Job listing links** |
| Job Search | **Job title or keywords**, **Location** |

The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.

### Bundesagentur für Arbeit scraping use cases 🎯

#### Hiring activity monitoring

Run repeat collections of Bundesagentur für Arbeit listings and compare vacancy titles and original links over time to identify newly advertised roles and changes in hiring activity.

#### Vacancy enrichment

Turn known Bundesagentur für Arbeit job links or supported identifiers into structured vacancy records for recruitment databases, job comparison tools and candidate research.

#### Advertised compensation research

Compare the compensation published in Bundesagentur für Arbeit records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports.

#### Skills demand analysis

Analyse the skills, experience or qualifications actually published in Bundesagentur für Arbeit records to compare hiring requirements across role groups and prepare recruitment briefs.

#### Working-condition comparison

Compare the contract, schedule or benefit information published in Bundesagentur für Arbeit records when researching how employers present their opportunities.

### Pricing and saved-result behavior 💰

See the Actor's **Pricing** tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost.

Under dataset-item pricing:

- Each collected item saved in the dataset is one result.
- Images, tags and other values attached to that item do not create additional rows.
- Automatic retry attempts do not create extra dataset rows.
- A saved `failed` row is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected.
- `maxResults` caps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results.

### Bundesagentur für Arbeit scraper API and integrations 🔌

Replace `$ACTOR_ID` with the ID shown in the Actor API tab and `$APIFY_TOKEN` with your token.

```bash
curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"ba_search","query":"Buchhalter","location":"Berlin","maxResults":10}'
```

Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application.

### Reliability, retries, and public-data limits ⚠️

Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result.

Search rows and detailed advertisements have different depth. Salary values are available only where the source discloses them.

Bundesagentur für Arbeit controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved.

### Frequently asked questions ❓

#### Does it require an account on Bundesagentur für Arbeit?

No. You do not need to provide an account, password or login cookies. Only publicly available information is collected.

#### How does maxResults work?

It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. A detail lookup normally returns one record per input.

#### Which inputs and filters does this Actor support?

Search rows and detailed advertisements have different depth. Salary values are available only where the source discloses them.

#### When should I use Job Details instead of Job Search?

Use search to discover Bundesagentur für Arbeit vacancies and their listing fields. Use details for a known vacancy when you need the additional description and requirements that the advertisement publishes.

#### Why are some fields empty?

The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed.

#### Can I export the results to a spreadsheet?

Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table.

### Support and responsible use 🛟

For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials.

Use public Bundesagentur für Arbeit information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.

# Actor input Schema

## `mode` (type: `string`):

Choose the information to collect.

## `maxResults` (type: `integer`):

Collect up to this many results for each search or link. Minimum: 1.

## `query` (type: `string`):

Words to search for in job listings. Leave empty to include all jobs. For Job Search.

## `location` (type: `string`):

City or region to search in. Leave empty to search all locations. For Job Search.

## `jobUrls` (type: `array`):

Paste one link per line. Example: https://www.arbeitsagentur.de/jobsuche/jobdetail/20357-00004b02b77001-S For Job Details.

## Actor input object example

```json
{
  "mode": "ba_search",
  "maxResults": 10,
  "query": "Buchhalter",
  "location": "Berlin"
}
```

# Actor output Schema

## `results` (type: `string`):

Collected entities and failed input outcomes, with all available fields and error explanations in one dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "mode": "ba_search",
    "maxResults": 10,
    "query": "Buchhalter",
    "location": "Berlin"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapingmonkey/bundesagentur-fur-arbeit-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "mode": "ba_search",
    "maxResults": 10,
    "query": "Buchhalter",
    "location": "Berlin",
}

# Run the Actor and wait for it to finish
run = client.actor("scrapingmonkey/bundesagentur-fur-arbeit-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "mode": "ba_search",
  "maxResults": 10,
  "query": "Buchhalter",
  "location": "Berlin"
}' |
apify call scrapingmonkey/bundesagentur-fur-arbeit-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/bundesagentur-fur-arbeit-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RdBhW5r27b2QbwzgI/builds/aYQhhX0OBetkpFYZ4/openapi.json