StepStone.at Job Scraper 💰 $1.50/1K — Salary & Skills

What does StepStone.at Job Scraper do?

StepStone.at Job Scraper extracts structured job data from stepstone.at — including salary data, apply URLs, company metadata, full descriptions, location data, and skill tags. 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.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Stepstone jobs" pings to your hiring channel.
• 🔗 Paste-mode — paste any stepstone.at URL straight from your browser — single-job pages, search-results URLs, or category SEO URLs. Build the search you want in the UI, copy the URL, paste it here.
• 🎯 Batch searches — batch ["python developer", "data engineer", "ML engineer"] in one run — one dedup state across all searches, single dataset, one Actor-Start charge instead of N.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired. Repost detection flags previously-expired listings that come back.
• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from stepstone.at?

Each result includes Core job fields (jobId, harmonisedId, legacyJobId, title, location, postCode, textSections, and textSnippet, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionMarkdown, descriptionLength, and locationDetail), apply information (directApply and applyUrl), and company metadata (company, companyId, companyLogo, and companyUrl). 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:

• query — Job search keywords (e.g. "software engineer"). Use JSON array ["query1", "query2"] for multi-query.
• location — City or region (e.g. "Berlin", "München"). Use JSON array for multi-location.
• startUrls — Direct StepStone search or job detail URLs. Overrides query/location when provided.
• bundesland — Filter by Austrian federal state. Overrides location when set.
• sort — Sort order for results (default: "relevance")
• age — Only show jobs posted within this many days (1, 3, 7, or 14)
• 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 34 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.

{
  "mode": "full",
  "query": "software engineer",
  "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 engineer",
  "contractType": "FULL_TIME",
  "workType": "FULL_TIME",
  "maxResults": 100
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "software engineer",
  "contractType": "FULL_TIME",
  "workType": "FULL_TIME",
  "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

{
  "jobId": "5c45087c974840f20fbefdb955e18aa41f4c10aa814d638ee7f90c5e9df8fb4b",
  "harmonisedId": "53089164-b0f4-487d-ad7e-779854022502",
  "legacyJobId": 993260,
  "title": "Software Developer*in (Backend, Vollzeit) (w/m/x)",
  "company": "Packaging Cockpit GmbH",
  "companyId": 164766,
  "companyLogo": "https://www.stepstone.at/upload_at/logo/2/logoPackaging-Cockpit-GmbH-164766AT-2607161506.gif",
  "companyUrl": "https://www.stepstone.at/cmp/de/packaging-cockpit-gmbh-164766/jobs",
  "location": "Wien",
  "description": "Packaging Cockpit GmbH * Wien * Feste Anstellung * Home Office, Vollzeit - Sei einer der ersten Bewerber - Schnelle Bewerbung - Werde Teil unseres dynamischen Teams in den Trendthemen Nachhaltigkeit u...",
  "descriptionLength": 832,
  "textSnippet": "Packaging Cockpit GmbH * Wien * Feste Anstellung * Home Office, Vollzeit - Sei einer der ersten Bewerber - Schnelle Bewerbung - Werde Teil unseres dynamischen Teams in den Trendthemen Nachhaltigkeit u...",
  "textSnippetCleaned": "Packaging Cockpit GmbH * Wien * Feste Anstellung * Home Office, Vollzeit - Sei einer der ersten Bewerber - Schnelle Bewerbung - Werde Teil unseres dynamischen Teams in den Trendthemen Nachhaltigkeit u...",
  "workFromHome": false,
  "isSponsored": false,
  "isTopJob": false,
  "isPartnershipJob": false,
  "isAnonymous": false,
  "isHighlighted": false,
  "partnership": {
    "isPartnershipJob": false,
    "isCrossPosted": false
  },
  "metaData": {
    "positionOnPage": 1,
    "positionAbsolute": 1
  },
  "section": "main",
  "datePosted": "2026-07-16T15:42:47+02:00",
  "postedDaysAgo": 0,
  "canonicalUrl": "https://www.stepstone.at/stellenangebote--Software-Developerin-Backend-Vollzeit-w-m-x-Wien-Packaging-Cockpit-GmbH--993260-inline.html?rltr=1_1_25_seorl_m_0_0_0_0_1_0",
  "portalUrl": "https://www.stepstone.at",
  "sourceUrl": "https://www.stepstone.at/jobs/developer/in-Wien",
  "sourceDomain": "stepstone.at",
  "searchQuery": "developer",
  "scrapedAt": "2026-07-16T14:24:26.099Z",
  "detailFetched": false,
  "contentQuality": "serp_only",
  "contentHash": "e2a23ec889d3631ba9c8ef704992ef1f8472b243a84b29d5a9ba87253940f1b2",
  "similarJobCount": 0,
  "isRepost": false
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape stepstone.at

1. Go to StepStone.at Job 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, 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.at for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• 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.at?

StepStone.at Job 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: $0.005 per run
• Per result: $0.0015 per job record

Example costs:

• 10 results: $0.02
• 25 results: $0.042
• 100 results: $0.15
• 200 results: $0.3
• 500 results: $0.76

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 200 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.30	$0.02	$0.28 (93%)	$0.60
15% — moderate broad query	$0.30	$0.05	$0.26 (84%)	$1.50
30% — high-volume aggregator	$0.30	$0.10	$0.21 (69%)	$2.85

Full re-scrape monthly cost at daily polling: $9.15. First month with incremental costs $0.89 / $1.75 / $3.06 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from stepstone.at?

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

Does StepStone.at Job Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs 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.at Job Scraper with other apps?

Yes. StepStone.at Job 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.at Job 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.at Job Scraper through an MCP Server?

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

Is it legal to scrape stepstone.at?

This actor extracts publicly available data from stepstone.at. 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.

Disclaimer

This actor accesses only publicly available data on stepstone.at. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with StepStone.at's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to StepStone.at.

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