# StepStone Job Scraper (`curious_coder/stepstone-jobs-scraper`) Actor

Scrape job listings from StepStone by keyword and location. Export companies, locations, work model, posted dates and job URLs. Cost: $0.3/1K

- **URL**: https://apify.com/curious\_coder/stepstone-jobs-scraper.md
- **Developed by:** [Curious Coder](https://apify.com/curious_coder) (community)
- **Categories:** Jobs, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 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.
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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Job Scraper

Collect job listings from [StepStone](https://www.stepstone.de) — no login, no manual copy‑pasting. Enter a job keyword and a city, or paste a StepStone search URL, and the scraper returns clean, structured job data ready to export as **JSON, CSV, or Excel**.

Great for recruiters building talent‑market maps, job seekers tracking new openings, and analysts researching hiring trends across Germany, Austria and the Benelux.

### What you can do

- 🔎 Search jobs by **keyword and location**, with an optional search **radius**.
- 🌍 Search any StepStone country site — **Germany, Austria, Belgium, Netherlands, Luxembourg**.
- 🔗 Or just paste one or more **StepStone search URLs** from your browser.
- 📄 Get each job's **title, company, location, work model, posting date, snippet and direct link**.
- 📝 Optionally open every posting for the **full description, employment type and salary** (when shown).
- 📊 Export to **JSON, CSV, Excel**, or push the data to your own apps.
- 🔁 Run it **on a schedule** to catch new jobs automatically.

### How to use it

1. Click **Try for free**.
2. Enter a **keyword** (e.g. `Software Engineer`) and a **location** (e.g. `Berlin`), or paste **Search URLs**.
3. Set **Max jobs** (how many results to collect), and optionally turn on **Include full job details**.
4. Click **Start** and download your results when the run finishes.

#### Getting a search URL (easiest method)

1. Go to [stepstone.de](https://www.stepstone.de) and search as you normally would.
2. Apply any filters you like.
3. Copy the full address from your browser's address bar and paste it into **Search URLs**.

Every filter you set on StepStone is kept in that URL, so the scraper returns exactly what you see on the site.

### Input

| Field | Description |
| --- | --- |
| **Job keyword** | Job title or keyword, e.g. `Data Scientist`, `Pflegefachkraft`. |
| **Location** | City or region, e.g. `München`. Leave empty to search the whole country. |
| **Search radius (km)** | Distance around the location. Applied only when a location is set. |
| **Sort by** | Most relevant or most recent. |
| **Max jobs** | How many jobs to collect (0 = as many as available). |
| **Include full job details** | Open each posting for the full description, employment type and salary. Slower, but far more detailed. |
| **StepStone site** | Which country site to search (Germany by default). |
| **Search URLs** | Optional. Paste full StepStone search URLs instead of, or in addition to, the fields above. |

#### Example input

```json
{
  "keyword": "Data Scientist",
  "location": "München",
  "radius": 30,
  "sort": "date",
  "maxItems": 100
}
```

Or with a pasted search URL:

```json
{
  "startUrls": ["https://www.stepstone.de/jobs/marketing-manager/in-hamburg?radius=30"],
  "maxItems": 50,
  "includeJobDetails": true
}
```

### Output

Each job is saved as one record. Example:

```json
{
  "jobId": "14305242",
  "title": "Senior Backend Developer (m/w/d) .NET / Cloud Native",
  "url": "https://www.stepstone.de/stellenangebote--...-14305242-inline.html",
  "company": "FP Document Services GmbH",
  "companyProfileUrl": "https://www.stepstone.de/cmp/de/fp-document-services-gmbh-278924/jobs",
  "companyId": "278924",
  "location": "Berlin, bundesweit",
  "workModel": "Teilweise Home-Office",
  "postedRelative": "vor 1 Stunde",
  "snippet": "Als mittelständischer Konzern mit rund 750 Mitarbeitenden…",
  "employmentType": "FULL_TIME",
  "workType": "Homeoffice möglich, Vollzeit",
  "datePosted": "2026-08-04T16:01:32.82Z",
  "industry": "IT, IT-Softwareentwicklung",
  "description": "Wir haben viel zu bieten, auch als Arbeitgeber!…",
  "searchUrl": "https://www.stepstone.de/jobs/software-engineer/in-berlin?radius=30",
  "scrapedAt": "2026-08-04T17:58:18.213Z"
}
```

| Field | Description |
| --- | --- |
| `jobId` | StepStone listing ID |
| `title` | Job title |
| `url` | Direct link to the job on StepStone |
| `company` / `companyProfileUrl` / `companyId` | Hiring company and its StepStone profile |
| `location` | Job location(s) |
| `workModel` | On‑site / hybrid / remote indicator shown on the listing |
| `postedRelative` | How long ago the job was posted |
| `snippet` | Short teaser from the description |
| `employmentType` / `workType` | Full‑time / part‑time and work arrangement *(details mode)* |
| `datePosted` / `validThrough` | Exact posting and expiry dates *(details mode)* |
| `salary` / `salaryText` | Salary, when publicly shown |
| `description` / `descriptionHtml` | Full job description *(details mode)* |
| `industry` | Industry / sector *(details mode)* |
| `searchUrl` | The search this job came from |
| `scrapedAt` | When the record was collected |

*Fields marked (details mode) are populated when **Include full job details** is enabled.*

### Tips

- **Catch new jobs** by sorting by *Most recent* and running on a schedule.
- **Combine searches** by adding several URLs at once — all results land in the same dataset.
- **Export anywhere** — download as Excel/CSV/JSON, or connect the dataset to Make, Zapier, Google Sheets, and more.

### FAQ

**Do I need a StepStone account?** No. The scraper reads publicly visible job listings.

**Some fields are empty — why?** Details like the full description, employment type and salary only appear when **Include full job details** is enabled (and salary only when StepStone shows a figure publicly).

**Will it return every matching job?** It collects up to **Max jobs**, within the number of results StepStone makes available for a search. Narrow the keyword and location to focus on the most relevant jobs.

**Is scraping StepStone allowed?** Only collect publicly available data and use it responsibly, in line with StepStone's terms and applicable laws.

# Actor input Schema

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

Job title or keyword to search for, e.g. "Software Engineer", "Marketing Manager", "Pflegefachkraft".

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

City or region to search in, e.g. "Berlin", "München", "Hamburg". Leave empty to search the whole country.

## `radius` (type: `integer`):

Distance around the location, in kilometres. Only applied when a location is set.

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

Order of the results.

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

Maximum number of jobs to collect across all searches. Set to 0 to collect every available job.

## `includeJobDetails` (type: `boolean`):

Open each job posting to also collect the full description, exact posting date, employment type (full-time / part-time) and salary when available. Slower, but far more detailed.

## `domain` (type: `string`):

Which StepStone country site to search.

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

Optional. Paste full StepStone search-result URLs from your browser instead of, or in addition to, the fields above. All filters in the URL are honoured.

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

Proxy settings. StepStone content is served from Europe, so a European (e.g. German) proxy is recommended for reliable results.

## Actor input object example

```json
{
  "keyword": "Data Scientist",
  "location": "Berlin",
  "radius": 30,
  "sort": "relevance",
  "maxItems": 100,
  "includeJobDetails": false,
  "domain": "www.stepstone.de",
  "startUrls": [
    "https://www.stepstone.de/jobs/data-scientist/in-muenchen?radius=30"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "DE"
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

Every scraped job (title, company, location, work model, posting date and job URL) as one item per job in the default dataset.

# 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": "Software Engineer",
    "location": "Berlin",
    "radius": 30,
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("curious_coder/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": "Software Engineer",
    "location": "Berlin",
    "radius": 30,
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("curious_coder/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": "Software Engineer",
  "location": "Berlin",
  "radius": 30,
  "maxItems": 100
}' |
apify call curious_coder/stepstone-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,curious_coder/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/fkrfYbTpVTjsnLVbf/builds/5duN1Uv2tHvNISVbc/openapi.json