StepStone Scraper — 18 European Job Portals

What does StepStone Scraper do?

StepStone Scraper extracts structured job data from stepstone.de — including salary data, contact details, company metadata, full descriptions, skill tags, and ratings and reviews. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

Key features

• Detail enrichment — full descriptions and company metadata where the source provides them.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from stepstone.de?

Each result includes Core listing fields (jobKey, title, location, postCode, url, datePosted, postedDaysAgo, and workFromHome, and more), detail fields when enrichment is enabled (detailsFetched, description, locationDetail, salaryDetail, and benefits), contact and apply information (directApply), and company metadata (company, companyId, companyUrl, and companyLogoUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• startUrls — Direct StepStone search URLs to scrape. If provided, query/location/geo are ignored for URL building.
• query — Job search keyword (e.g., 'software-developer', 'data-analyst'). Not required when startUrls is provided.
• location — Location filter (e.g., 'Berlin', 'München')
• geo — Job portal to scrape. Some portals require a paid Apify plan with proxy access. (default: "DE")
• sort — Sort order for results (default: "relevance")
• age — Only show jobs posted within this many days
• remote — Only show remote/home office positions
• radius — Search radius around location in km (requires location)
• minSalary — Minimum annual salary filter (EUR)
• contractType — Filter by contract/employment type
• experience — Filter by experience level
• workType — Filter by work schedule (full-time / part-time)
• ...and 20 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software-developer",
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "software-developer",
  "contractType": "FULL_TIME",
  "maxResults": 100
}

Compact output — Return only core fields for AI agents and MCP workflows.

→ Small payload with jobId, title, company, location, url, and a few other key fields.

{
  "query": "software-developer",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobKey": "107004033",
  "title": "Developer",
  "company": "IO Associates",
  "location": "Manchester (M1)",
  "postCode": "M1",
  "url": "https://www.totaljobs.com/job/developer/io-associates-job107004033",
  "datePosted": "2026-03-27T09:46:03.79Z",
  "postedDaysAgo": 1,
  "workFromHome": "",
  "workFromHomeLabel": "",
  "isSponsored": false,
  "isTopJob": false,
  "companyId": 1396095,
  "companyUrl": "https://www.totaljobs.com/jobs/io-associates?cmpId=1396095&cmp=1",
  "companyLogoUrl": "https://www.totaljobs.com/CompanyLogos/2572c18a039d4c35a0827c02322f6ae0.png",
  "textSnippet": "PHP <strong>Developer</strong> (Laravel) | North Manchester (Hybrid - onsite initially) As part of that, they're looking to bring in a PHP <strong>Developer</strong> to support and improve their core...",
  "textSnippetCleaned": "PHP Developer (Laravel) | North Manchester (Hybrid - onsite initially) As part of that, they're looking to bring in a PHP Developer to support and improve their core platform with a real focus on clea...",
  "labels": [],
  "topLabels": [
    "FEATURED"
  ],
  "skills": [],
  "harmonisedId": "d342342e-4a0d-4255-b6a2-b987ed4c259e",
  "unifiedSalary": null,
  "hasFuturePosting": false,
  "partnership": {
    "isPartnershipJob": false,
    "isBackfilled": false,
    "isCrossPosted": false,
    "sourceSiteFriendlyName": ""
  },
  "metaData": {
    "positionOnPage": 1,
    "positionAbsolute": 1
  },
  "publishFromDate": "2026-03-27T09:46:03.79Z",
  "publishToDate": "2026-04-03T08:46:03.79Z",
  "isAnonymous": false,
  "isHighlighted": false,
  "section": "main",
  "travelTime": null,
  "geo": "TOTALJOBS",
  "query": "developer",
  "scrapedAt": "2026-03-28T23:01:21.343Z",
  "portalUrl": "https://www.totaljobs.com",
  "detailsFetched": true,
  "description": "<p><strong>PHP Developer (Laravel) | North Manchester (Hybrid - onsite initially)</strong></p><p><strong>£45,000 - £50,000</strong></p><p>We're working with a long-established, financially backed busi...",
  "employmentType": "FULL_TIME",
  "validThrough": "2026-04-03T08:46:03.79Z",
  "locationDetail": {
    "city": "Manchester",
    "postalCode": "M1",
    "country": "GB",
    "lat": 53.4766,
    "lng": -2.23188
  },
  "salaryDetail": null,
  "ceSalary": null,
  "directApply": true,
  "industry": "IT, IT-Software Development",
  "companyRating": {
    "average": 4.84668,
    "count": 10
  },
  "benefits": null,
  "companyWebsite": "https://www.totaljobs.com/jobs/io-associates?cmpId=1396095&cmp=1"
}

How to scrape stepstone.de

1. Go to StepStone Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from stepstone.de for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.
• Collect ratings and reviews for reputation monitoring and benchmarking.

How much does it cost to scrape stepstone.de?

StepStone Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

FAQ

How many results can I get from stepstone.de?

The number of results depends on the search query and available listings on stepstone.de. Use the maxResults parameter to control how many results are returned per run.

Can I integrate StepStone Scraper with other apps?

Yes. StepStone Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use StepStone Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use StepStone Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape stepstone.de?

This actor extracts publicly available data from stepstone.de. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.