# Fast StepStone Jobs Scraper (Germany) (`rbbscrap/fast-stepstone-jobs-scraper`) Actor

Scrape StepStone.de Germany job offers, hiring companies, salaries, and employment details without browser bloat on 256MB RAM.

- **URL**: https://apify.com/rbbscrap/fast-stepstone-jobs-scraper.md
- **Developed by:** [Hector](https://apify.com/rbbscrap) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.25 / 1,000 job scrapeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

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

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

## How to integrate an Actor?

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

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

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

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

# README

## Fast StepStone Jobs Scraper (Germany) 💼

High-speed, zero-browser StepStone.de Germany job offers scraper running on ultra-lightweight micro-containers (256MB RAM). Extracts active employment opportunities, hiring company names, cities, and direct application links across all German metropolitan regions without browser bloat.

***

### ⚡ 5 Key Strengths vs Competitors

1. **Zero-Browser HTTP/2 Engine (256MB RAM)**: Directly extracts StepStone's internal preloaded hydration state (`app-unifiedResultlist`) in milliseconds without running a 3GB headless browser.
2. **Comprehensive Job Offer Specifications**: Captures StepStone Job ID, exact job title, hiring company name, city location, published salary details, and direct canonical application URLs.
3. **Automated Multi-Page Pagination**: Seamlessly traverses through multiple result pages to collect full candidate pools per German city.
4. **Resilient German Regional Support**: Native routing across all major German employment hubs (Berlin, München, Frankfurt, Hamburg, Köln, Stuttgart, Düsseldorf).
5. **Radical Cost Reduction (Over 75% Cheaper)**: Set at **$0.0008 / job** ($0.80/1K items) vs competitor pricing of $3.50/1K runs (Valig).

***

### 📥 Input Parameters

| Field | Type | Description |
|---|---|---|
| `keyword` | String | Job title or skill (e.g. `python`, `data engineer`) |
| `location` | String | City or region in Germany (e.g. `berlin`, `munchen`) |
| `maxJobs` | Integer | Maximum jobs to extract (default: `30`) |
| `proxyConfiguration` | Object | Apify Proxy configuration for high-volume automated harvesting |

***

### 📤 Output Sample

```json
{
  "jobId": "13818030",
  "title": "Backend Entwickler Python (m/w/d) - Data Engineer Python",
  "companyName": "Ratbacher GmbH",
  "location": "Berlin, Mannheim, Frankfurt, Stuttgart, Karlsruhe",
  "salary": null,
  "jobUrl": "https://www.stepstone.de/stellenangebote--Backend-Entwickler-Python...",
  "keyword": "python",
  "scrapedAt": "2026-11-01T13:55:00.000Z"
}
```

# Actor input Schema

## `keyword` (type: `string`):

Job title or skill (e.g. 'python', 'data engineer', 'produktmanager').

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

City or state in Germany (e.g. 'berlin', 'munchen', 'frankfurt', 'deutschland').

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

Maximum number of job offers to extract.

## `proxyConfiguration` (type: `object`):

Select Apify Proxy for high-volume automated harvesting.

## Actor input object example

```json
{
  "keyword": "python",
  "location": "berlin",
  "maxJobs": 30
}
```

# Actor output Schema

## `results` (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 = {
    "keyword": "python",
    "location": "berlin",
    "maxJobs": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("rbbscrap/fast-stepstone-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 = {
    "keyword": "python",
    "location": "berlin",
    "maxJobs": 30,
}

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

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

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

```

## CLI example

```bash
echo '{
  "keyword": "python",
  "location": "berlin",
  "maxJobs": 30
}' |
apify call rbbscrap/fast-stepstone-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rbbscrap/fast-stepstone-jobs-scraper"
        }
    }
}
```

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

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1PwzkjykblvDbLzQE/builds/B2yeC8hCbNf0irkC7/openapi.json