# Stepstone.de Germany Scraper (`unfenced-group/stepstone-de-scraper`) Actor
Scrape stepstone.de for structured German job data: titles, companies, salary ranges & full descriptions (HTML, text, Markdown). 50,000+ listings with employment type, location and keyword filters. Repost detection & daysOld filtering. No API key required.
- **URL**: https://apify.com/unfenced-group/stepstone-de-scraper.md
- **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 5 total users, 1 monthly users, 81.3% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 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.
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
## Stepstone Germany Scraper
Extract structured job data from stepstone.de — Germany's largest job board with 50,000+ active listings. No API key required. Returns job titles, companies, salaries, contract types and full descriptions in three formats.
---
### Why use this scraper?
- **50,000+ live listings** across all German industries and regions
- **Salary data** — where published by the employer (`salaryMin`, `salaryMax`, `salaryType`)
- **Three description formats** — HTML, plain text and Markdown for any downstream workflow
- **Repost detection** — flags jobs seen in previous runs so you only process new listings
- **`daysOld` filter** — restrict results to recently posted jobs
- **`startUrls` support** — feed specific search pages or individual job URLs
- **German umlaut handling** — ä, ö, ü and ß in keywords and locations are resolved automatically
---
### Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| `searchQuery` | string | `developer` | Job title, keyword or skill (German umlauts supported) |
| `location` | string | `Berlin` | City or region (German umlauts supported) |
| `radius` | integer | `40` | Search radius in km (5–100) |
| `maxItems` | integer | `100` | Maximum number of results to return |
| `daysOld` | integer | — | Only return jobs posted within this many days |
| `skipReposts` | boolean | `false` | Exclude jobs seen in a previous run |
| `startUrls` | array | — | Specific Stepstone.de search or job detail URLs to scrape |
#### Example input
```json
{
"searchQuery": "Softwareentwickler",
"location": "München",
"radius": 30,
"maxItems": 200,
"daysOld": 14,
"skipReposts": true
}
````
***
### Output schema
Each result contains 29 fields:
| Field | Type | Description |
|---|---|---|
| `url` | string | Direct URL to the job detail page |
| `jobId` | string | Stepstone job identifier |
| `source` | string | Always `stepstone.de` |
| `language` | string | Always `de` |
| `title` | string | Job title |
| `company` | string | Employer name |
| `companyUrl` | string | Employer website (if available) |
| `companyLogo` | string | Company logo URL |
| `city` | string | City of the role |
| `location` | string | Location string |
| `country` | string | Always `DE` |
| `contractType` | string | `FULL_TIME`, `PART_TIME`, `CONTRACT` or `INTERNSHIP` |
| `workSchedule` | string | Work schedule description |
| `salary` | string | Human-readable salary range |
| `salaryMin` | number | Minimum salary (where published) |
| `salaryMax` | number | Maximum salary (where published) |
| `salaryType` | string | Salary period: `HOUR`, `MONTH` or `YEAR` |
| `publishDate` | string | Publication date (`YYYY-MM-DD`) |
| `publishDateISO` | string | Publication date in ISO 8601 format |
| `daysOld` | integer | Days since publication |
| `expiryDate` | string | Listing expiry date (`YYYY-MM-DD`) |
| `description` | string | Full job description (HTML) |
| `descriptionText` | string | Full job description (plain text) |
| `descriptionMarkdown` | string | Full job description (Markdown) |
| `isRepost` | boolean | `true` if this job was seen in a previous run |
| `originalPublishDate` | string | Date first seen across runs |
| `originalUrl` | string | URL when first seen |
| `summary` | string | First 200 characters of the description |
| `contentHash` | string | MD5 hash for deduplication in downstream workflows |
| `scrapedAt` | string | ISO timestamp of when this record was scraped |
#### Example output
```json
{
"url": "https://www.stepstone.de/stellenangebote--Senior-Software-Engineer-Berlin-Acme-GmbH--12345678-inline.html",
"jobId": "12345678",
"source": "stepstone.de",
"language": "de",
"title": "Senior Software Engineer",
"company": "Acme GmbH",
"companyUrl": "https://www.acme.de",
"city": "Berlin",
"country": "DE",
"contractType": "FULL_TIME",
"salary": "€70.000 – €90.000 (YEAR)",
"salaryMin": 70000,
"salaryMax": 90000,
"salaryType": "YEAR",
"publishDate": "2026-03-20",
"publishDateISO": "2026-03-20",
"daysOld": 8,
"description": "...
",
"descriptionText": "We are looking for a Senior Software Engineer...",
"descriptionMarkdown": "### Your role\n\nWe are looking for...",
"isRepost": false,
"contentHash": "a3f2b1c4...",
"scrapedAt": "2026-03-28T10:00:00.000Z"
}
```
***
### Performance
| Scenario | Results | Time |
|---|---|---|
| 100 jobs, Berlin, "developer" | 100 | ~4 min |
| 500 jobs, München, "Ingenieur" | 500 | ~18 min |
| 1,000 jobs, Hamburg, mixed queries | 1,000 | ~38 min |
***
### Pricing
**$1.50 per 1,000 results** — pay only for what you scrape.
| Volume | Cost |
|---|---|
| 100 results | $0.15 |
| 1,000 results | $1.50 |
| 10,000 results | $15.00 |
| 100,000 results | $150.00 |
Competitors charge flat-rate subscriptions of $29–$99/month regardless of usage. This scraper scales with your actual data needs.
***
### Known limitations
- **Salary** is only available where the employer has published it. `null` is expected for many listings.
- **Without location** — omitting the `location` parameter returns nationwide results.
- **startUrls and searchQuery** — when `startUrls` is provided, `searchQuery` and `location` are ignored.
***
### Technical details
- Default memory: **256 MB**
- Results per page: 25
- Maximum pages per search: ~40 (approximately 1,000 results per search query)
- Repost detection: 90-day rolling fingerprint store per actor run
***
### Additional services
Need a custom scraper, scheduled data delivery or integration support? Contact us at **info@unfencedgroup.nl**.
***
*unfenced-group — European job board data infrastructure · [Apify Store](https://apify.com/unfenced-group)*
# Actor input Schema
## `searchQuery` (type: `string`):
Job title, keyword or skill to search for (e.g. 'developer', 'buchhalter', 'Softwareentwickler'). German umlauts (ä, ö, ü, ß) are handled automatically.
## `location` (type: `string`):
City or region to search in (e.g. 'Berlin', 'München', 'Frankfurt'). German umlauts are handled automatically.
## `radius` (type: `integer`):
Search radius in kilometres around the specified location. Accepted values: 5, 10, 20, 30, 40, 50, 75, 100.
## `maxItems` (type: `integer`):
Maximum number of job listings to return. The scraper stops as soon as this limit is reached.
## `daysOld` (type: `integer`):
Only return jobs published within this many days. Leave empty to return all available jobs regardless of age.
## `skipReposts` (type: `boolean`):
When enabled, jobs that have been seen in a previous run are excluded from the results. Uses a 90-day cross-run fingerprint store.
## `startUrls` (type: `array`):
Optional list of specific Stepstone.de URLs to scrape. Accepts both search result pages and individual job detail URLs (ending in -inline.html). When provided, the searchQuery and location parameters are ignored.
## Actor input object example
```json
{
"searchQuery": "developer",
"location": "Berlin",
"radius": 40,
"maxItems": 5,
"skipReposts": false
}
```
# Actor output Schema
## `results` (type: `string`):
Dataset of structured job listings from stepstone.de
# 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 = {
"searchQuery": "developer",
"maxItems": 5
};
// Run the Actor and wait for it to finish
const run = await client.actor("unfenced-group/stepstone-de-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchQuery": "developer",
"maxItems": 5,
}
# Run the Actor and wait for it to finish
run = client.actor("unfenced-group/stepstone-de-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 '{
"searchQuery": "developer",
"maxItems": 5
}' |
apify call unfenced-group/stepstone-de-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=unfenced-group/stepstone-de-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Stepstone.de Germany Scraper",
"description": "Scrape stepstone.de for structured German job data: titles, companies, salary ranges & full descriptions (HTML, text, Markdown). 50,000+ listings with employment type, location and keyword filters. Repost detection & daysOld filtering. No API key required.",
"version": "0.0",
"x-build-id": "djT1EOFkqI7h1Jfzc"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/unfenced-group~stepstone-de-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-unfenced-group-stepstone-de-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/unfenced-group~stepstone-de-scraper/runs": {
"post": {
"operationId": "runs-sync-unfenced-group-stepstone-de-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/unfenced-group~stepstone-de-scraper/run-sync": {
"post": {
"operationId": "run-sync-unfenced-group-stepstone-de-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"searchQuery": {
"title": "Search query",
"type": "string",
"description": "Job title, keyword or skill to search for (e.g. 'developer', 'buchhalter', 'Softwareentwickler'). German umlauts (ä, ö, ü, ß) are handled automatically.",
"default": "developer"
},
"location": {
"title": "Location",
"type": "string",
"description": "City or region to search in (e.g. 'Berlin', 'München', 'Frankfurt'). German umlauts are handled automatically.",
"default": "Berlin"
},
"radius": {
"title": "Radius (km)",
"minimum": 5,
"maximum": 100,
"type": "integer",
"description": "Search radius in kilometres around the specified location. Accepted values: 5, 10, 20, 30, 40, 50, 75, 100.",
"default": 40
},
"maxItems": {
"title": "Maximum results",
"minimum": 1,
"type": "integer",
"description": "Maximum number of job listings to return. The scraper stops as soon as this limit is reached.",
"default": 100
},
"daysOld": {
"title": "Maximum age (days)",
"minimum": 1,
"type": "integer",
"description": "Only return jobs published within this many days. Leave empty to return all available jobs regardless of age."
},
"skipReposts": {
"title": "Skip reposts",
"type": "boolean",
"description": "When enabled, jobs that have been seen in a previous run are excluded from the results. Uses a 90-day cross-run fingerprint store.",
"default": false
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Optional list of specific Stepstone.de URLs to scrape. Accepts both search result pages and individual job detail URLs (ending in -inline.html). When provided, the searchQuery and location parameters are ignored.",
"items": {
"type": "object",
"properties": {
"url": {
"title": "URL",
"type": "string",
"description": "A stepstone.de search result URL or job detail URL"
}
}
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```