StepStone Jobs Scraper

Scrape public StepStone job listings by keyword, location, or StepStone URL.

Use this actor to collect structured job data from StepStone for recruiting research, lead generation, hiring intelligence, and labor-market monitoring.

What does StepStone Jobs Scraper do?

StepStone Jobs Scraper extracts public job listings from StepStone search and job pages.

It can return job titles, employers, locations, job URLs, descriptions, salary signals, employment type, requirements, skills, company logos, and source metadata.

The output is ready for spreadsheets, BI tools, dashboards, enrichment pipelines, and recruiting workflows.

Who is it for?

• 🧑‍💼 Recruiters tracking hiring demand by role and city.
• 📈 Labor-market analysts monitoring employer activity.
• 🧲 Lead-generation teams finding companies that are hiring.
• 🏢 Sales teams prospecting HR, staffing, and employer accounts.
• 🧪 Researchers comparing job titles, locations, skills, and salaries.
• 🤖 Automation teams feeding job data into internal systems.

Why use this actor?

• ✅ Search StepStone by job keyword and location.
• ✅ Process StepStone search URLs and job detail URLs.
• ✅ Keep every row traceable to the input query and source URL.
• ✅ Export clean structured data from the Apify dataset.
• ✅ Limit runs with maxItems for predictable costs.
• ✅ Use Apify Proxy when you need more reliable collection.

What StepStone data can you extract?

Quick start

1. Open the actor on Apify.
2. Enter a job keyword such as software engineer.
3. Enter a location such as Berlin.
4. Set maxItems to the number of jobs you need.
5. Run the actor.
6. Export results from the dataset as JSON, CSV, Excel, or via API.

Input options

Example input

{
  "query": "software engineer",
  "location": "Berlin",
  "maxItems": 25,
  "radius": 30,
  "postedWithin": "any",
  "maxPages": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["SHADER"]
  }
}

Using StepStone URLs

You can also provide StepStone URLs directly.

Use search URLs when you want the actor to discover listings from a StepStone results page.

Use detail URLs when you already have specific StepStone job pages to extract.

{
  "startUrls": [
    { "url": "https://www.stepstone.de/jobs/software-engineer/in-berlin" }
  ],
  "maxItems": 10
}

Output example

{
  "title": "Senior Software Engineer",
  "company": "Example GmbH",
  "location": "Berlin",
  "jobUrl": "https://www.stepstone.de/stellenangebote/example-job.html",
  "postedAt": "2026-07-01",
  "validThrough": null,
  "employmentType": "FULL_TIME",
  "salary": null,
  "description": "Build and operate modern software products...",
  "requirements": "Experience with TypeScript, cloud services, and agile teams...",
  "skills": ["TypeScript", "AWS"],
  "companyLogo": "https://example.com/logo.png",
  "sourceQuery": "software engineer",
  "sourceLocation": "Berlin",
  "sourceUrl": "https://www.stepstone.de/jobs/software-engineer/in-berlin",
  "scrapedAt": "2026-07-04T08:00:00.000Z"
}

Tips for better results

• 🎯 Use specific job titles for focused recruiting lists.
• 🌍 Use broader locations for labor-market research.
• 🔢 Start with maxItems: 10 while testing.
• 🧹 Deduplicate downstream by jobUrl.
• 📅 Schedule recurring runs to monitor new hiring activity.
• 🧪 Test several keyword variants for the same role.

Common use cases

Recruiting intelligence

Track which employers are hiring for a specific role in Germany.

Sales prospecting

Find companies with active hiring signals for HR software, staffing, payroll, training, or relocation services.

Labor-market dashboards

Measure demand by keyword, city, company, or posting recency.

Competitive hiring analysis

Monitor how often competitors post for specific departments or skills.

Salary research

Collect salary text when it is included in public listings.

Integrations

You can connect results to:

• Google Sheets for lightweight recruiting research.
• Airtable for lead review workflows.
• HubSpot or Salesforce via Make/Zapier.
• BigQuery, Snowflake, or S3 for analytics.
• Slack alerts for new jobs matching a saved query.
• Internal enrichment pipelines using the Apify API.

API usage with Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('fetch_cat/stepstone-jobs-scraper').call({
  query: 'software engineer',
  location: 'Berlin',
  maxItems: 25
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

API usage with Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('fetch_cat/stepstone-jobs-scraper').call(run_input={
    'query': 'software engineer',
    'location': 'Berlin',
    'maxItems': 25,
})

items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

API usage with cURL

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~stepstone-jobs-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query":"software engineer","location":"Berlin","maxItems":25}'

MCP integration

Use this actor from MCP-compatible assistants through Apify MCP Server.

MCP URL: https://mcp.apify.com/?tools=fetch_cat/stepstone-jobs-scraper

Claude Code example

claude mcp add apify-stepstone-jobs --url "https://mcp.apify.com/?tools=fetch_cat/stepstone-jobs-scraper"

Claude Desktop example

{
  "mcpServers": {
    "apify-stepstone-jobs": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/stepstone-jobs-scraper"
    }
  }
}

Example MCP prompts

After connecting the MCP server, try prompts that explicitly ask your assistant to use the StepStone Jobs Scraper MCP tool. Example prompt ideas:

• "Use the StepStone Jobs Scraper MCP tool to find 20 software engineering jobs in Berlin, then return a table with title, company, location, and URL."
• "Use fetch_cat/stepstone-jobs-scraper to collect StepStone hiring signals for data analyst roles in Munich and summarize which employers are hiring most often."
• "Run the StepStone Jobs Scraper MCP tool for Java developer jobs in Germany, group the results by company, and summarize the most common skills."
• "Use the MCP scraper to monitor remote-friendly StepStone software roles and highlight any listings posted in the last week."

Scheduling

Schedule the actor daily or weekly to monitor a saved StepStone query.

Use small result limits for frequent monitoring.

Use larger result limits for monthly market snapshots.

Data quality notes

Some listings do not include salary.

Some listings do not expose structured skills.

Some listings may have broad regional locations rather than exact offices.

The actor keeps optional fields empty when StepStone does not publish that data.

Limits

Very broad searches can produce many duplicates across pages.

Use maxItems to cap output volume.

For production monitoring, run several specific searches instead of one extremely broad query.

Legality and ethical use

This actor extracts publicly available job listing information.

You are responsible for using the data in compliance with StepStone terms, privacy laws, and applicable regulations.

Do not use scraped data for spam, discrimination, or prohibited automated decisions.

Support

If a run fails or the output looks incomplete, open an issue on Apify with your run ID and input.

Include the query, location, and whether you used custom StepStone URLs.