StepStone DK Scraper

What does StepStone DK Scraper do?

StepStone DK Scraper extracts structured job data from stepstone.dk. 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) where the source provides them, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows.

What data can you extract from stepstone.dk?

Results follow a stable schema with consistent fields across runs. 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 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:

• query — Job search keywords (e.g. 'software engineer', 'projektleder').
• location — Free-text location (city or area name). Use Region for structured filtering.
• region — Filter by Danish region or area.
• employmentType — Filter by employment type.
• remoteWork — Filter by remote work availability.
• workingHours — Filter by working hours type.
• jobAge — Only show jobs posted within this period.
• maxResults — Maximum total results (0 = unlimited). (default: 50)
• includeDetails — Fetch full job descriptions from detail pages. Slower but provides complete descriptions. (default: false)
• descriptionMaxLength — Truncate description to N characters. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• incrementalMode — Only output new/changed jobs compared to previous run. (default: false)
• ...and 1 more parameters

Input example

{
  "query": "software",
  "maxResults": 50,
  "includeDetails": false,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false
}

Output

Example job record

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.

How to scrape stepstone.dk

1. Go to StepStone DK 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.dk for market research and competitive analysis.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape stepstone.dk?

StepStone DK 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

Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.

FAQ

How many results can I get from stepstone.dk?

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

Does StepStone DK Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate StepStone DK Scraper with other apps?

Yes. StepStone DK 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 DK 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 DK 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.dk?

This actor extracts publicly available data from stepstone.dk. 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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