# NiceJob.de Jobs Scraper - Preiswert Low-cost💲🔥💼🇩🇪 (`delectable_incubator/nicejob-de-jobs-scraper---preiswert-low-cost`) Actor

Scrape job listings from NiceJob.de 💼🔎 with a powerful jobs scraper.

Extract job titles, companies, locations, employment rates, remote options, publication dates, requirements, benefits, and application URLs

Ideal for job market analysis and building structured employment datasets at scale 📊🚀

- **URL**: https://apify.com/delectable\_incubator/nicejob-de-jobs-scraper---preiswert-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

<p align="center"> <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="NiceJob Jobs Scraper - PrimeScrape" width="100%"> </p>


---

###  NiceJob.de Jobs Scraper 🔍📊🇩🇪💼 

The NiceJob.de Jobs Scraper is a fast, reliable, and scalable automation tool designed to extract structured job listings directly from NiceJob.de, a modern job platform covering multiple industries and employment types.

It transforms job search pages into clean, structured datasets ready for analytics, recruitment workflows, and automation.

---

### NiceJob.de Stellenanzeigen Scraper 🇩🇪💼🔎

Der NiceJob.de Scraper extrahiert automatisch strukturierte Stellenanzeigen aus Suchergebnissen von nicejob.de.

Ideal für Recruiting, Arbeitsmarktanalysen und datengetriebene HR-Prozesse in Deutschland und Europa.

---

### 🎯 What This Scraper Does

Simply provide one or more NiceJob search URLs, and the scraper will automatically extract structured job data.

✅ Extracts job listings from NiceJob.de

✅ Supports multiple URLs in one run

✅ Handles pagination automatically

✅ Cleans and structures job data

✅ Ready for analytics and integrations

---

### 📊 Data Extracted

💼 Job Listing Fields

| Field                   | Description                    |
| ----------------------- | ------------------------------ |
| 🆔 `jobId`              | Internal job identifier        |
| 🔗 `externalId`         | External job ID                |
| 📝 `title`              | Job title                      |
| 🏢 `company`            | Company name                   |
| 🏷 `companyAdditional`  | Additional company info        |
| 📍 `location`           | Full job location              |
| 🏙 `locationCity`       | City                           |
| 📮 `locationZip`        | Postal code                    |
| 🌍 `countryCode`        | Country code                   |
| ⏱ `workingTime`         | Employment percentage (Pensum) |
| 📊 `typeValueMin`       | Minimum workload (%)           |
| 📊 `typeValueMax`       | Maximum workload (%)           |
| 🏠 `homeOffice`         | Remote work availability       |
| 📅 `datePublished`      | Publication date               |
| ⏳ `dateEnd`             | Expiration date                |
| 🔄 `dateUpdated`        | Last update                    |
| 🧩 `activity`           | Responsibilities               |
| 📋 `requirements`       | Job requirements               |
| 🎁 `offer`              | Benefits / offer               |
| ☎️ `contact`            | Contact information            |
| 🏷 `keywords`           | Job-related keywords           |
| 🔗 `applyUrl`           | Application link               |
| 🌐 `descriptionUrl`     | Job detail page                |
| 🏢 `companyStreet`      | Company street                 |
| 📮 `companyZip`         | Company ZIP                    |
| 🏙 `companyCity`        | Company city                   |
| ☎️ `companyPhone`       | Company phone                  |
| 🌐 `companyWebsite`     | Company website                |
| 📄 `companyDescription` | Company description            |
| ⭐ `isPromoted`          | Promoted listing flag          |
| 🎯 `isSpecialOffer`     | Special offer flag             |
| 📌 `positions`          | Job positions / roles          |


---

### 🛠 How to Use

1️⃣ Configure Input

Provide one or more NiceJob search URLs:

````

{
"urls": \[
"https://www.nicejob.de/job/alle-jobs",
"https://www.nicejob.de/job/alle-jobs-typ-festanstellung"
],
"maxitems": 50
}

```

2️⃣ Run the Actor

The scraper will:

• Load each search page

• Automatically paginate results

• Extract structured job listings

• Stop when maxitems is reached or no more pages are available

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML


---

### ⚙️ Input Configuration

#### 📥 Input Example

```

{
"urls": \[
"https://www.nicejob.de/job/alle-jobs"
],
"maxitems": 50
}

```



#### Input Fields

| Field      | Type    | Description                 |
| ---------- | ------- | --------------------------- |
| `urls`     | array   | List of NiceJob search URLs |
| `maxitems` | integer | Maximum jobs per URL        |


---


### 📤 Output Example

```

{
"jobId": "123456",
"externalId": "NJ-98765",
"title": "Software Engineer",
"company": "Tech Solutions GmbH",
"location": "Berlin",
"locationCity": "Berlin",
"locationZip": "10115",
"countryCode": "DE",
"workingTime": "80%-100%",
"homeOffice": true,
"datePublished": "2026-03-10",
"applyUrl": "https://www.nicejob.de/apply/123",
"companyWebsite": "https://example.com"
}

````

---

### 📊 Output explanation

| Field                | Description                 |
| -------------------- | --------------------------- |
| `jobId`              | Internal job identifier     |
| `externalId`         | External reference ID       |
| `title`              | Job title                   |
| `company`            | Hiring company              |
| `companyAdditional`  | Additional company naming   |
| `location`           | Full job location           |
| `locationCity`       | City                        |
| `locationZip`        | Postal code                 |
| `countryCode`        | Country identifier          |
| `workingTime`        | Employment percentage       |
| `typeValueMin`       | Minimum workload            |
| `typeValueMax`       | Maximum workload            |
| `homeOffice`         | Remote work availability    |
| `datePublished`      | Publication date            |
| `dateEnd`            | Expiration date             |
| `dateUpdated`        | Last update                 |
| `activity`           | Job responsibilities        |
| `requirements`       | Required qualifications     |
| `offer`              | Benefits / employer offer   |
| `contact`            | Contact details             |
| `keywords`           | Job-related keywords        |
| `applyUrl`           | Application link            |
| `descriptionUrl`     | Job detail page             |
| `companyStreet`      | Company address             |
| `companyZip`         | Company postal code         |
| `companyCity`        | Company city                |
| `companyPhone`       | Company phone               |
| `companyWebsite`     | Company website             |
| `companyDescription` | Company description         |
| `isPromoted`         | Indicates promoted listings |
| `isSpecialOffer`     | Indicates special listings  |
| `positions`          | Job roles / positions       |


---


### 🌍 Why Use This Scraper? 

📊 Job Market Analysis — Track hiring trends

💼 Recruitment Intelligence — Identify hiring companies

📈 Data Insights — Analyze demand across sectors

🎯 Lead Generation — Discover new opportunities

🤖 AI & Automation — Build structured datasets

⚡ Scalable — Designed for high-volume extraction

🇩🇪 Germany Focused — Optimized for NiceJob.de

---

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by NiceJob.de

---

### 💸 Pricing

This scraper runs on a **pay per events subscription model**.

You only pay for **successful runs**.

💳 **Price:** $2.89 / 1000 results

---

### Related Actors 

If you're interested in other German 🇩🇪, Austrian 🇦🇹, Swiss 🇨🇭, or Dach or European 🇪🇺 scrapers, explore more scrapers across Europe 🇩🇪🇪🇺

(Coming soon)

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

---

### 🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify or by email.

# Actor input Schema

## `urls` (type: `array`):

Liste der nicejob.de Such-URLs zum Scrapen.

Beispiele:
• https://www.nicejob.de/job/alle-jobs
• https://www.nicejob.de/job/alle-jobs-typ-festanstellung
• https://www.nicejob.de/job/alle-jobs-position-fuehrungsposition
• https://www.nicejob.de/job/suche-software-pensum-10-bis-90-berufsgruppe-medizin-gesundheitswesen-pflege

⚠️ URLs müssen von www.nicejob.de sein.
## `maxitems` (type: `integer`):

Maximale Anzahl an Stellenangeboten pro URL.
Die Pagination stoppt automatisch nach 2 leeren aufeinanderfolgenden Seiten.

## Actor input object example

```json
{
  "urls": [
    "https://www.nicejob.de/job/alle-jobs",
    "https://www.nicejob.de/job/alle-jobs-typ-festanstellung"
  ],
  "maxitems": 50
}
````

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "urls": [
        "https://www.nicejob.de/job/alle-jobs",
        "https://www.nicejob.de/job/alle-jobs-typ-festanstellung"
    ],
    "maxitems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/nicejob-de-jobs-scraper---preiswert-low-cost").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 = {
    "urls": [
        "https://www.nicejob.de/job/alle-jobs",
        "https://www.nicejob.de/job/alle-jobs-typ-festanstellung",
    ],
    "maxitems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/nicejob-de-jobs-scraper---preiswert-low-cost").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 '{
  "urls": [
    "https://www.nicejob.de/job/alle-jobs",
    "https://www.nicejob.de/job/alle-jobs-typ-festanstellung"
  ],
  "maxitems": 50
}' |
apify call delectable_incubator/nicejob-de-jobs-scraper---preiswert-low-cost --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "NiceJob.de Jobs Scraper - Preiswert Low-cost💲🔥💼🇩🇪",
        "description": "Scrape job listings from NiceJob.de 💼🔎 with a powerful jobs scraper.\n\nExtract job titles, companies, locations, employment rates, remote options, publication dates, requirements, benefits, and application URLs\n\nIdeal for job market analysis and building structured employment datasets at scale 📊🚀",
        "version": "0.0",
        "x-build-id": "RwBKTf4dUFpFXgbJQ"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~nicejob-de-jobs-scraper---preiswert-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-nicejob-de-jobs-scraper---preiswert-low-cost",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~nicejob-de-jobs-scraper---preiswert-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-nicejob-de-jobs-scraper---preiswert-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~nicejob-de-jobs-scraper---preiswert-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-nicejob-de-jobs-scraper---preiswert-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "urls",
                    "maxitems"
                ],
                "properties": {
                    "urls": {
                        "title": "NiceJob.de Search URLs 💼 / NiceJob.de Such-URLs 💼",
                        "type": "array",
                        "description": "Liste der nicejob.de Such-URLs zum Scrapen.\n\nBeispiele:\n• https://www.nicejob.de/job/alle-jobs\n• https://www.nicejob.de/job/alle-jobs-typ-festanstellung\n• https://www.nicejob.de/job/alle-jobs-position-fuehrungsposition\n• https://www.nicejob.de/job/suche-software-pensum-10-bis-90-berufsgruppe-medizin-gesundheitswesen-pflege\n\n⚠️ URLs müssen von www.nicejob.de sein.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxitems": {
                        "title": "Maximum listings per URL 📄 / Maximale Angebote pro URL 📄",
                        "type": "integer",
                        "description": "Maximale Anzahl an Stellenangeboten pro URL.\nDie Pagination stoppt automatisch nach 2 leeren aufeinanderfolgenden Seiten.",
                        "default": 50
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
