# StepStone Scraper - Germany Job Listings (`scrapesage/stepstone-scraper`) Actor

Scrape job listings from stepstone.de search URLs: title, company, location, salary, work model, posted date and apply link. Bypasses StepStone's anti-bot protection. Paste search URLs or import a file.

- **URL**: https://apify.com/scrapesage/stepstone-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** Jobs, Integrations, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.65 / 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.
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 Scraper - Germany Job Listings

> This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by StepStone or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

Scrape job listings from **stepstone.de**, one of Germany's largest job boards. Paste any stepstone.de search URL -
any role, any city - and get clean rows with **title**, **company**, **location**, **salary** (when disclosed),
**work model**, **posted date** and the **apply link**. StepStone is heavily anti-bot protected; this actor
**handles that automatically** so you just get the data. No API key needed on your side.

### What you get per job

| Field | Meaning |
|---|---|
| `title` / `url` / `id` | Job title, canonical stepstone.de posting URL, and id |
| `company` | Hiring company name |
| `location` | Job location |
| `salary` | Salary range, when the employer disclosed one |
| `workModel` | Remote / hybrid / on-site label, when shown |
| `postedDate` | Relative posting age (e.g. "vor 3 Tagen") |
| `teaser` | Short job-description snippet |
| `companyLogo` | Employer logo URL |

### Input

```json
{ "startUrls": ["https://www.stepstone.de/jobs/software-developer/in-berlin"], "maxPagesPerUrl": 1 }
```

- **Search URLs** - build a search on stepstone.de (role + city + filters), then paste the URL. One per line.
- **Import from a file** - paste a whole list, or link a public `.txt`/`.csv`, a Google Sheet/Drive link, or an
  Apify key-value-store record.
- **Output fields** - trim every record to exactly the columns you need for lean CSV/Sheets exports.

Leave everything empty and the run returns a small free sample so you can see the shape first.

### Reliability

stepstone.de is protected by enterprise anti-bot (Akamai), which blocks both plain HTTP clients and ordinary
headless browsers. This actor routes each request through a premium unblocking layer that solves the challenge and
returns the real page, then parses the server-rendered job cards - so runs are stable and every core field
(title, company, location, apply link) comes back populated. You are only ever billed for jobs actually saved.

On top of that, the results page is verified against the search's own job count: if StepStone's anti-bot layer
serves a partially rendered page (fewer cards than the search says it should hold), it is automatically refetched
on a fresh route - up to 3 fetches, keeping the best. A page that somehow stays short after refetching is
disclosed in the run's status message instead of being passed off as complete.

### Notes

- **Results per URL** - StepStone serves the results list one page at a time; this actor returns the **first page
  (~25 jobs) per search URL**. For broader coverage, pass several search URLs (different roles and cities) - each
  is scraped independently and results are de-duplicated by apply link.
- **`salary`** is only published on a minority of German postings; it is captured verbatim when present and left
  empty otherwise, so you can filter for disclosed-salary roles.

### Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by StepStone or any of its
subsidiaries. All trademarks mentioned are the property of their respective owners. It collects only publicly
available job-posting information and is intended for lawful research, recruiting-market analysis and
salary-benchmarking use. You are responsible for how you use the data, including compliance with applicable law.

### Agent-ready: autonomous payments (x402 & Skyfire)

This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:

- **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

# Actor input Schema

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

stepstone.de job-search URLs, one per line. Build a search on stepstone.de (keyword, location, filters), then paste the URL. <b>Leave empty and the run returns a small free sample.</b>

## `startUrlsFromFile` (type: `string`):

Bulk-load stepstone.de URLs. Either <b>paste the whole list</b> (one per line), or give <b>a single link</b> to a public <code>.txt</code>/<code>.csv</code>, a Google Sheet/Drive link, or an Apify key-value-store record. A file that cannot be read says so and charges nothing.

## `maxPagesPerUrl` (type: `integer`):

How many result pages to try per URL. StepStone currently serves only the first page (~25 jobs) per search through the unblocking layer, so values above 1 rarely add jobs - pass several search URLs (different roles/cities) for broader coverage instead.

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

Overall cap across all URLs. You are only charged for jobs actually saved.

## `outputFields` (type: `array`):

Pick the fields you want and every record is trimmed to exactly those - handy for lean CSV/Sheets exports.

## Actor input object example

```json
{
  "startUrls": [
    "https://www.stepstone.de/jobs/software-developer/in-berlin"
  ],
  "maxPagesPerUrl": 1,
  "maxItems": 1000
}
```

# Actor output Schema

## `results` (type: `string`):

Each job - title, company, location, salary - as a JSON item 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 = {
    "startUrls": [
        "https://www.stepstone.de/jobs/software-developer/in-berlin"
    ],
    "startUrlsFromFile": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/stepstone-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 = {
    "startUrls": ["https://www.stepstone.de/jobs/software-developer/in-berlin"],
    "startUrlsFromFile": "",
}

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/stepstone-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 '{
  "startUrls": [
    "https://www.stepstone.de/jobs/software-developer/in-berlin"
  ],
  "startUrlsFromFile": ""
}' |
apify call scrapesage/stepstone-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/stepstone-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/jbsFwBFz4qnTUigS4/builds/qytgKckOT7bakClxw/openapi.json