# Arbeitnow Jobs Scraper – arbeitnow.com (`logiover/arbeitnow-jobs-scraper`) Actor

Scrape Arbeitnow job listings without an API or login. Arbeitnow API alternative that exports remote jobs to CSV/JSON datasets.

- **URL**: https://apify.com/logiover/arbeitnow-jobs-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 21 total users, 9 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Arbeitnow Jobs Scraper – Scrape arbeitnow.com Job Listings

![Arbeitnow Jobs Scraper](https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/GjS6nQ8qauOdq9KGy-actor-KQGSHVpnTahdZuoVH-M3wnJZqlGp-images.png)

Extract job postings from [Arbeitnow](https://www.arbeitnow.com), a European job board with deep remote and German-speaking (DACH) tech coverage. This Arbeitnow scraper turns the live board into a clean, structured dataset you can filter, schedule and export to CSV, JSON or Excel — **no login and no API key required**.

Search by keyword, restrict to remote roles, filter by job type, tags and location, then keep only postings newer than a given date so a daily run returns just the fresh jobs.

### What you get

Every job is returned as a flat record with these fields:

- **title** – the job title.
- **company** – the hiring company name.
- **location** – the advertised location (city/country, or "Remote").
- **remote** – whether the role is remote (true/false).
- **jobTypes** – employment type(s): Full Time, Part Time, Internship, Traineeship.
- **tags** – skill/category tags such as Software Development, Marketing, Sales.
- **url** – direct link to the original Arbeitnow listing / apply page.
- **postedAt** – when the job was published.

Results stream to the Apify dataset and download as **CSV, JSON, JSONL, Excel or XML**, or pull them through the Apify API into your own pipeline.

### Use cases

- **Build a remote-jobs feed** – flip on Remote Only and schedule the run to keep a continuously refreshed list of European remote roles.
- **Recruiting & sourcing leads** – pull companies actively hiring in your niche (by tag and location) and use the data for outreach.
- **Job-market research** – track hiring volume, in-demand skills and posting frequency across Germany, the EU and remote-first employers.
- **Power a job aggregator or board** – ingest fresh, structured listings into your own site or app without maintaining a scraper.
- **Daily new-jobs monitoring** – set Posted Since to yesterday's date and capture only the jobs added since your last run.

### How to use

1. Open the actor and enter a **Search Keyword** (e.g. `react developer`) — or leave it blank to take everything.
2. Optionally tick **Remote Only**, add **Job Types**, **Tags** and a **Location**.
3. For scheduled monitoring, set **Posted Since** to an ISO date (e.g. `2026-06-01`) so only newer jobs are returned.
4. Set **Max Jobs** to cap the run (0 = all matching jobs).
5. Click **Start**, then download the dataset as CSV, JSON or Excel — or schedule the actor to run automatically.

#### Example input

```json
{
  "searchKeyword": "software engineer",
  "remoteOnly": true,
  "jobTypes": ["Full Time"],
  "tags": ["Software Development"],
  "location": "Berlin",
  "postedSince": "2026-06-01",
  "maxJobs": 200
}
````

### FAQ

#### Do I need an Arbeitnow account or API key?

No. The scraper reads public job listings directly — there is no login, no cookies and no API key to manage.

#### How do I get only new jobs each day?

Use the **Posted Since** field. Set it to your previous run's date (or yesterday) and the actor returns only postings published on or after that date — ideal for a daily schedule.

#### Can I export the data to CSV or Excel?

Yes. Every run is saved to a dataset you can download as CSV, JSON, JSONL, Excel or XML, or fetch via the Apify API.

#### How many jobs can it return?

As many as the board lists for your filters. Use **Max Jobs** to cap the result count for testing or cost control, or set it to 0 to collect everything that matches.

#### Is this an Arbeitnow API alternative?

Yes. It works as an unofficial Arbeitnow API: you get the same public job listings as structured data without managing keys, auth or rate limits — a drop-in Arbeitnow API alternative for your pipeline.

#### How do I export Arbeitnow jobs to CSV or JSON?

Every run saves results to a dataset you can download as CSV, JSON, JSONL, Excel or XML, so exporting Arbeitnow job listings to CSV or JSON is a one-click download (or one Apify API call).

#### Can I scrape Arbeitnow without an API or login?

Yes. The actor reads public listings directly, so you can scrape Arbeitnow without an API key, account or cookies, including a clean Arbeitnow remote jobs dataset.

### Changelog

#### 2026-06-15

- Reliability pass: re-verified end-to-end on live data with real-world inputs. Routine maintenance build.

#### 2026-06-07

- Docs: added coverage for Arbeitnow API alternative, exporting jobs to CSV/JSON, and scraping without an API or login.

# Actor input Schema

## `searchKeyword` (type: `string`):

Free-text keyword matched against title, company and description.

## `remoteOnly` (type: `boolean`):

Only return remote jobs.

## `jobTypes` (type: `array`):

Filter by job type, e.g. 'Full Time', 'Part Time', 'Internship', 'Traineeship'. Leave empty for all.

## `tags` (type: `array`):

Filter by tag/skill, e.g. 'Software Development', 'Marketing'. Leave empty for all.

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

Filter by location text. Leave empty for all.

## `postedSince` (type: `string`):

ISO date (e.g. 2026-05-13). Only jobs posted on/after it. Set to the previous run's date for scheduled daily monitoring.

## `maxJobs` (type: `integer`):

Maximum matching jobs to save. 0 = all.

## Actor input object example

```json
{
  "searchKeyword": "",
  "remoteOnly": false,
  "jobTypes": [],
  "tags": [],
  "location": "",
  "postedSince": "",
  "maxJobs": 100
}
```

# Actor output Schema

## `title` (type: `string`):

title

## `company` (type: `string`):

company

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

location

## `remote` (type: `string`):

remote

## `jobTypes` (type: `string`):

jobTypes

## `tags` (type: `string`):

tags

## `url` (type: `string`):

url

## `postedAt` (type: `string`):

postedAt

# 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 = {
    "jobTypes": [],
    "tags": [],
    "maxJobs": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("logiover/arbeitnow-jobs-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 = {
    "jobTypes": [],
    "tags": [],
    "maxJobs": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/arbeitnow-jobs-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "jobTypes": [],
  "tags": [],
  "maxJobs": 100
}' |
apify call logiover/arbeitnow-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=logiover/arbeitnow-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Arbeitnow Jobs Scraper – arbeitnow.com",
        "description": "Scrape Arbeitnow job listings without an API or login. Arbeitnow API alternative that exports remote jobs to CSV/JSON datasets.",
        "version": "2.1",
        "x-build-id": "Y70gHh5z58hIsLJtt"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/logiover~arbeitnow-jobs-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-logiover-arbeitnow-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/logiover~arbeitnow-jobs-scraper/runs": {
            "post": {
                "operationId": "runs-sync-logiover-arbeitnow-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/logiover~arbeitnow-jobs-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-logiover-arbeitnow-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "searchKeyword": {
                        "title": "Search Keyword",
                        "type": "string",
                        "description": "Free-text keyword matched against title, company and description.",
                        "default": ""
                    },
                    "remoteOnly": {
                        "title": "Remote Only",
                        "type": "boolean",
                        "description": "Only return remote jobs.",
                        "default": false
                    },
                    "jobTypes": {
                        "title": "Job Types",
                        "type": "array",
                        "description": "Filter by job type, e.g. 'Full Time', 'Part Time', 'Internship', 'Traineeship'. Leave empty for all.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "tags": {
                        "title": "Tags",
                        "type": "array",
                        "description": "Filter by tag/skill, e.g. 'Software Development', 'Marketing'. Leave empty for all.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "Filter by location text. Leave empty for all.",
                        "default": ""
                    },
                    "postedSince": {
                        "title": "Posted Since (optional)",
                        "type": "string",
                        "description": "ISO date (e.g. 2026-05-13). Only jobs posted on/after it. Set to the previous run's date for scheduled daily monitoring.",
                        "default": ""
                    },
                    "maxJobs": {
                        "title": "Max Jobs",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum matching jobs to save. 0 = all."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```