# Stellenanzeigen Jobs Scraper - Preiswert Low-cost๐ฒ๐ฅ๐ฉ๐ช (`delectable_incubator/stellenanzeigen-jobs-scraper---preiswert-low-cost`) Actor
Scrape job listings from Stellenanzeigen.de ๐ผ๐
Extract detailed job data including title, company, location, posting date, tags, reference number, logo, and listing URL.
Ideal for recruitment analytics, job market research, and building structured employment datasets at scale ๐๐
- **URL**: https://apify.com/delectable\_incubator/stellenanzeigen-jobs-scraper---preiswert-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Jobs, Lead generation, 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
---
### Stellenanzeigen Jobs Scraper ๐ผ๐๐ฉ๐ช
The Stellenanzeigen Jobs Scraper is a powerful automation tool designed to extract structured job listings from stellenanzeigen.de at scale.
It automatically collects job offers from search result pages using infinite scroll navigation, ensuring fast, complete, and reliable data extraction.
Perfect for job market analysis, recruitment intelligence, lead generation, and data science projects.
---
### ๐ฏ What This Scraper Does
Just provide one or more Stellenanzeigen search URLs and the actor will:
โ
Extract job listings automatically
โ
Support multiple URLs in a single run
โ
Handle infinite scroll pagination
โ
Clean and structure all job data
Each search URL can return dozens or hundreds of job listings depending on filters.
---
### ๐ Data Extracted
๐ผ Job Listing Fields
| Field | Description |
| ------------- | ------------------------------- |
| ๐ jobId | Unique job identifier |
| ๐ข refNumber | Reference number (if available) |
| ๐ title | Job title |
| ๐ข company | Hiring company |
| ๐ location | Job location |
| ๐
datePosted | Posting date |
| ๐ท tags | Job categories / benefits |
| โญ badge | Highlight label (e.g. Top Job) |
| ๐ผ logoUrl | Company logo URL |
| ๐ detailUrl | Job detail page link |
---
### ๐ How to Use
1๏ธโฃ Configure Input
Provide one or more Stellenanzeigen search URLs:
````
{
"urls": \[
"https://www.stellenanzeigen.de/suche/?fulltext=Data",
"https://www.stellenanzeigen.de/suche/?fulltext=AI"
],
"maxitems": 50
}
```
2๏ธโฃ Run the Actor
The scraper will:
โข Load each search result page
โข Collect job listings
โข Stop when maxitems is reached
โ ๏ธ The jobId parameter is automatically cleaned from URLs to ensure proper pagination handling.
3๏ธโฃ Export Data
Download results in multiple formats:
โ
JSON
โ
CSV
โ
Excel
โ
XML
โ
HTML
---
### ๐ค Output Example
```
{
"jobId": "16157974",
"refNumber": "16157974",
"title": "Prompt / AI Engineer (m/w/d) Conversational Agents",
"company": "SIGNAL IDUNA Gruppe",
"location": "Hamburg, Dortmund",
"datePosted": "17.03.2026",
"tags": "Vollzeit, Flexible Arbeitszeiten, Jobrad",
"badge": "Firmenprofil",
"logoUrl": "https://www.stellenanzeigen.de/\_next/image/?url=...",
"detailUrl": "https://www.stellenanzeigen.de/job/..."
}
````
---
### ๐ Preconfigured Dataset Views
๐ Includes structured dataset fields for:
โข Job title & company
โข Location & posting date
โข Tags & benefits
โข Company branding (logo)
โข Direct job URLs
---
### ๐ Why Use This Scraper?
๐ Job Market Analysis
Track hiring trends across Germany
๐ผ Recruitment Intelligence
Analyze companies, roles, and demand patterns
๐ Lead Generation
Identify active hiring companies
๐ค AI & Data Science
Build datasets for NLP, classification & analytics
---
### โ๏ธ Input Fields
| Field | Type | Description |
| -------- | ------- | --------------------------- |
| urls | array | Stellenanzeigen search URLs |
| maxitems | integer | Max jobs per URL |
---
### โ ๏ธ Disclaimer
This tool is an independent project and is not affiliated with or endorsed by stellenanzeigen.de.
---
### ๐ธ Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
๐ณ **Price:** $2.49 / 1000 results
---
### Related Actors
If you're interested in **other german** (trade fair / messe) data scraping solutions, explore more exhibitor & trade fair scrapers across Europe ๐ฉ๐ช๐ช๐บ
(Coming soon)
---
### ๐ฌ Support
โญโญโญโญโญ Leave a 5-star rating if you like this tool
---
### ๐ 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`):
List of stellenanzeigen.de search URLs to scrape.
Liste der stellenanzeigen.de Such-URLs zum Scrapen.
The scraper automatically loads more jobs via pagination or infinite scroll and stops when no more results are available.
Der Scraper lรคdt automatisch weitere Stellen รผber Paginierung/Scroll und stoppt, wenn keine weiteren Ergebnisse verfรผgbar sind.
Examples / Beispiele:
โข https://www.stellenanzeigen.de/suche/?fulltext=Lehrer%2Fin
โข https://www.stellenanzeigen.de/suche/?fulltext=developer
โข https://www.stellenanzeigen.de/suche/?fulltext=marketing&plz=10115
โ ๏ธ Only stellenanzeigen.de URLs are supported.
โ ๏ธ Es werden nur stellenanzeigen.de URLs unterstรผtzt.
## `maxitems` (type: `integer`):
Maximum number of job listings per URL.
The scraper stops when no more jobs are available or the limit is reached.
## Actor input object example
```json
{
"urls": [
"https://www.stellenanzeigen.de/suche/?fulltext=IT"
],
"maxitems": 60
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"urls": [
"https://www.stellenanzeigen.de/suche/?fulltext=IT"
],
"maxitems": 60
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/stellenanzeigen-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(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"urls": ["https://www.stellenanzeigen.de/suche/?fulltext=IT"],
"maxitems": 60,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/stellenanzeigen-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("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"urls": [
"https://www.stellenanzeigen.de/suche/?fulltext=IT"
],
"maxitems": 60
}' |
apify call delectable_incubator/stellenanzeigen-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/stellenanzeigen-jobs-scraper---preiswert-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Stellenanzeigen Jobs Scraper - Preiswert Low-cost๐ฒ๐ฅ๐ฉ๐ช",
"description": "Scrape job listings from Stellenanzeigen.de ๐ผ๐\n\nExtract detailed job data including title, company, location, posting date, tags, reference number, logo, and listing URL. \n\nIdeal for recruitment analytics, job market research, and building structured employment datasets at scale ๐๐",
"version": "0.0",
"x-build-id": "wWgr5dyFs26L1k6qZ"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~stellenanzeigen-jobs-scraper---preiswert-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-stellenanzeigen-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~stellenanzeigen-jobs-scraper---preiswert-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-stellenanzeigen-jobs-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~stellenanzeigen-jobs-scraper---preiswert-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-stellenanzeigen-jobs-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": "Stellenanzeigen.de Search URLs ๐ผ / Stellenanzeigen.de Such-URLs ๐ผ",
"type": "array",
"description": "List of stellenanzeigen.de search URLs to scrape.\n\nListe der stellenanzeigen.de Such-URLs zum Scrapen.\n\nThe scraper automatically loads more jobs via pagination or infinite scroll and stops when no more results are available.\n\nDer Scraper lรคdt automatisch weitere Stellen รผber Paginierung/Scroll und stoppt, wenn keine weiteren Ergebnisse verfรผgbar sind.\n\nExamples / Beispiele:\nโข https://www.stellenanzeigen.de/suche/?fulltext=Lehrer%2Fin\nโข https://www.stellenanzeigen.de/suche/?fulltext=developer\nโข https://www.stellenanzeigen.de/suche/?fulltext=marketing&plz=10115\n\nโ ๏ธ Only stellenanzeigen.de URLs are supported.\nโ ๏ธ Es werden nur stellenanzeigen.de URLs unterstรผtzt.",
"items": {
"type": "string"
}
},
"maxitems": {
"title": "Max items per URL ๐ / Maximale Anzahl pro URL ๐",
"type": "integer",
"description": "Maximum number of job listings per URL.\n\nThe scraper stops when no more jobs are available or the limit is reached.",
"default": 60
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```