# StepStone Jobs Scraper (`piotrv1001/stepstone-jobs-scraper`) Actor

The StepStone Jobs Scraper extracts job postings from StepStone.de by keyword, location or URL, capturing titles, companies, posting dates, full descriptions, salary estimates and employer profiles with website, size and rating — ideal for recruiting, lead generation and job market research.

- **URL**: https://apify.com/piotrv1001/stepstone-jobs-scraper.md
- **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 job listings

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

### 🚀 StepStone Jobs Scraper

Easily extract job postings from StepStone.de, Germany's leading job board. The **StepStone Jobs Scraper** turns any keyword, location or StepStone search URL into structured job data, and can add what most job exports leave out: the **full job description, a salary estimate and the employer's profile** for every posting.

### ✨ Features

- 💼 **Complete Job Data**: Title, company, location, remote/hybrid flag, exact posting date, benefits, labels and job URL for every result.
- 📝 **Full Descriptions**: Turn on details to get the whole job ad as clean text, split into sections (tasks, profile, benefits, contact).
- 💶 **Salary Estimates**: StepStone's salary range per job (min, max, currency, period), clearly flagged as an estimate.
- 🏢 **Employer Profiles**: Company website, street address, size, industry, rating and review count, ready for lead generation and enrichment.
- 🔍 **Search or Paste URLs**: Use keyword + location, or paste any StepStone search page with its filters, a company's jobs page, or single job URLs.
- 🆕 **New Jobs Only**: Schedule the scraper and receive only the jobs posted since the previous run, without duplicates or reposts.
- 📚 **No Depth Limit**: Export thousands of jobs from one search, well beyond what the website lets you page through.

### 🛠️ How It Works

1. **Describe the search** – Enter a job title or keyword and a location in Germany, or paste StepStone URLs.
2. **Choose the depth** – Keep it fast with listings only, or enable **Scrape full job details** for descriptions, salary estimates and employer profiles.
3. **Run the Scraper** – Download the jobs as JSON, CSV or Excel, or pull them through the API. Enable **Only new jobs since the last run** on a schedule to build a job alert feed.

### ⚙️ Input

| Field                                | Description                                                                               |
| ------------------------------------ | ----------------------------------------------------------------------------------------- |
| **Job title or keyword**             | What to search for, e.g. `Softwareentwickler`, `Data Engineer`, `Pflegefachkraft`.        |
| **Location**                         | City, region or postcode in Germany. Empty = all of Germany.                              |
| **Date posted**                      | Any time, last 24 hours or last 7 days.                                                   |
| **Sort by**                          | Relevance or newest first.                                                                |
| **StepStone URLs**                   | Optional. Search pages, company jobs pages or single job URLs. Replaces the fields above. |
| **Scrape full job details**          | Adds description, salary estimate, contract type, expiry date and employer profile.       |
| **Only new jobs since the last run** | For schedules: outputs only jobs posted since the previous run of the same search.        |
| **Max results**                      | Maximum number of jobs to save (default 50).                                              |

### 💰 Pricing

Pay only for the jobs you get, with no monthly fee:

| Event                                                                           | Price   | Per 1,000 |
| ------------------------------------------------------------------------------- | ------- | --------- |
| **Job listing** – a job saved from search results                               | $0.0015 | $1.50     |
| **Job detail** – a job saved with full details (charged instead of the listing) | $0.004  | $4.00     |

A scheduled run that finds no new jobs saves nothing and costs nothing.

### 📊 Sample Output Data

One job with **Scrape full job details** enabled (description shortened here):

```json
[
    {
        "id": 14345310,
        "title": "Softwareentwickler (m/w/d)",
        "url": "https://www.stepstone.de/stellenangebote--Softwareentwickler-m-w-d-Darmstadt-Muenchen-Berlin-Koeln-Ludwigsburg-BAYOONET-AG--14345310-inline.html",
        "companyName": "BAYOONET AG",
        "companyId": 105741,
        "companyUrl": "https://www.stepstone.de/cmp/de/BAYOONET-AG-105741/jobs.html",
        "companyLogoUrl": "https://www.stepstone.de/upload_DE/logo/B/logobayoonet-AG-105741DE.gif",
        "location": "Darmstadt, München, Berlin, Köln, Ludwigsburg",
        "datePosted": "2026-08-30T10:03:07.087Z",
        "globalId": "9242bba7-b47d-4580-bbf0-d0d04f5ad5c5",
        "description": "Die BAYOONET Group gestaltet seit 25 Jahren maßgeschneiderte Software und Hardware in vielfältigsten Varianten. Mit Standorten in Darmstadt, München, Berlin, Ludwigsburg und Köln gehören wir zu den Top-IT-Unternehmen in Deutschland und sind verlässlicher Partn…",
        "descriptionSections": [
            {
                "name": "description",
                "title": "Deine Aufgaben",
                "text": "Als Softwareentwickler (m/w/d) unterstützt Du Dein Team bei spannenden Entwicklungsprojekten unserer internationalen Kun…"
            },
            {
                "name": "profile",
                "title": "Dein Profil",
                "text": "- Abgeschlossenes Studium der Fachrichtung (Wirtschafts-) Informatik, Medizintechnik, Elektrotechnik, Physik, Mathematik…"
            }
        ],
        "contractType": "Feste Anstellung",
        "workType": "Homeoffice möglich, Vollzeit",
        "employmentType": "FULL_TIME",
        "industry": "IT, IT-Softwareentwicklung",
        "validThrough": "2027-07-26T09:19:40.99Z",
        "directApply": true,
        "language": "de",
        "isOnline": true,
        "companyWebsite": "http://www.bayoo.net",
        "companyAddress": "Europaplatz 5, Darmstadt",
        "companySize": "251-1000",
        "companyIndustries": ["IT & Tech"],
        "companyRating": 4.46448,
        "companyReviewCount": 34,
        "companyOpenJobs": 2,
        "salaryMin": 46000,
        "salaryMax": 68000,
        "salaryCurrency": "EUR",
        "salaryPeriod": "Jahr",
        "salaryIsEstimate": true,
        "scrapedAt": "2026-09-19T11:55:43.709Z"
    }
]
```

Without details, each row contains the listing fields: `id`, `title`, `url`, `companyName`, `companyId`, `companyUrl`, `companyLogoUrl`, `location`, `remoteWork`, `datePosted`, `labels`, `snippet`, `benefits`, `isSponsored`, `matchType` and `scrapedAt`.

### ℹ️ Good to Know

- Salary values come from StepStone's own estimate for the role (`salaryIsEstimate: true`); most German employers do not publish a range. Expect an estimate on roughly three out of four jobs.
- Employer website and address are present when the company maintains a StepStone profile, about one job in three.
- StepStone sometimes pads short result lists with loosely related recommendations. These are left out, so the row count matches the real number of matching jobs.
- This Actor covers stepstone.de (Germany).

Build your German job market dataset with **StepStone Jobs Scraper** today! 🚀

# Actor input Schema

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

What to search for on stepstone.de, e.g. `Softwareentwickler`, `Data Engineer`, `Pflegefachkraft`, `SAP`. Leave empty to get every job in the location.

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

City, region or postcode in Germany, e.g. `Berlin`, `München`, `Frankfurt am Main`, `Bayern`. Leave empty for all of Germany.

## `postedWithin` (type: `string`):

Only jobs published within this period.

## `sort` (type: `string`):

Order of the results. With a Max results limit this decides which jobs you get.

## `startUrls` (type: `array`):

Paste stepstone.de URLs instead of using the fields above: a search page with any filters applied (`https://www.stepstone.de/jobs/...`), a company's jobs page (`https://www.stepstone.de/cmp/de/...`) or a single job (`https://www.stepstone.de/stellenangebote--...-inline.html`). When set, keyword, location, date posted and sort are ignored.

## `scrapeDetails` (type: `boolean`):

Open every job and add the full description split into sections, StepStone's salary estimate, contract and work type, expiry date, and the employer profile (website, address, size, rating). Charged as a job detail instead of a job listing.

## `onlyNewJobs` (type: `boolean`):

For scheduled runs: remember what this search returned and only output jobs posted since the previous run. The first run saves the baseline. Results are sorted newest first.

## `maxItems` (type: `integer`):

Maximum number of jobs to save.

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

Proxy used to reach stepstone.de. The default works for most runs.

## Actor input object example

```json
{
  "keyword": "Softwareentwickler",
  "location": "Berlin",
  "postedWithin": "any",
  "sort": "relevance",
  "scrapeDetails": false,
  "onlyNewJobs": false,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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": "Softwareentwickler",
    "location": "Berlin",
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/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": "Softwareentwickler",
    "location": "Berlin",
    "maxItems": 50,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("piotrv1001/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": "Softwareentwickler",
  "location": "Berlin",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call piotrv1001/stepstone-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,piotrv1001/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/q5PrNMrQvIxzvGkTL/builds/IliI7lnv9FekSMw4m/openapi.json