# StepStone.de Scraper - Germany Job Listings, Salary & Skills (`blackfalcondata/stepstone-de-scraper`) Actor Scrape Germany's largest job board stepstone.de for structured job data including salary range, skills, and employment type. Incremental mode tracks new and changed jobs across runs via a stable stateKey. Filter by German federal state (bundesland) or a radius around any city. - **URL**: https://apify.com/blackfalcondata/stepstone-de-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ### What does StepStone.de Scraper do? StepStone.de Scraper extracts structured job data from [stepstone.de](https://stepstone.de) — including salary data, contact details, company metadata, full descriptions, location data, 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 - **Incremental mode** — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records. - **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 (`jobId`, `harmonisedId`, `legacyJobId`, `title`, `location`, `postCode`, `textSections`, and `textSnippet`, and more), detail fields when enrichment is enabled (`description`, `descriptionHtml`, `descriptionMarkdown`, `descriptionLength`, and `locationDetail`), contact and 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 German 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 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. ```json { "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. ```json { "query": "software engineer", "contractType": "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. ```json { "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. ```json { "query": "software engineer", "contractType": "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 ```json { "jobId": "88ee90e7097ee4e626590ecf654b59f25b9b34bfba7a245556330d474e6c3cab", "harmonisedId": "C4E3DE2A-2237-4E34-B09C-97FE01EC50FB", "legacyJobId": 13510716, "title": "Software Engineer (w/m/d)", "company": "Capgemini Deutschland GmbH", "companyId": 2692, "companyLogo": "https://www.stepstone.de/upload_DE/logo/9/logoCapgemini-Deutschland-GmbH-2692DE-2601160927.gif", "companyUrl": "https://www.stepstone.de/cmp/de/Capgemini-Deutschland-GmbH-2692/jobs.html", "companyWebsite": "http://www.capgemini.com/de-de/karriere/", "companyEmployees": "10000+", "companyIndustries": [ "IT & Tech" ], "companyBenefits": [], "companyAddress": "Olof-Palme-Str. 14, München", "location": "Berlin", "postCode": null, "description": "Über uns\nCapgemini ist ein globaler Partner für die KI-gestützte Geschäfts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von...", "descriptionHtml": "

Über uns

\n

Capgemini ist ein globaler Partner für die KI-gestützte Geschäfts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die...", "descriptionMarkdown": "#### Über uns\n\nCapgemini ist ein globaler Partner für die KI-gestützte Geschäfts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von...", "descriptionLength": 6156, "textSections": [ { "type": "introduction", "title": "Über uns", "content": "

Capgemini ist ein globaler Partner für die KI-gestützte Geschäfts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realität werden lässt. Seit fast 60 Jahren steht Capgemini für Verantwortung wie auch Vielfalt und beschäftigt 420.000 Mitarbeitende in über 50 Ländern. Das End-to-End-Leistungsspektrum gründet auf einer umfangreichen Branchenexpertise, einem starken Partner-Ökosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2024 einen weltweiten Umsatz von 22,1 Milliarden Euro.

\n" }, { "type": "description", "title": "Deine Rolle", "content": "

Du möchtest den gesamten Software-Entwicklungsprozess verstehen, geschäftskritische Individualsoftware auf höchstem Niveau gestalten? Du siehst AI als wesentliche Technologie für die Softwareentwicklung der Zukunft und willst AI-Lösungen mitgestalten? Du suchst eine Zukunft im Software Engineering in einem global agierenden Unternehmen? Dann werde als Software Engineer (w/m/d) Teil unseres Teams!

\n\n

Diese Stelle ist in Vollzeit sowie in Teilzeit zu besetzen.

\n\n\n" }, { "type": "profile", "title": "Dein Profil", "content": "\n" }, { "type": "benefits", "title": "Was du bei uns schätzen wirst", "content": "\n\n

Deine Benefits

\n\n\n\n

Sämtliche in der Anzeige genannten Nebenleistungen geben lediglich einen ersten Überblick ohne Anerkennung einer Rechtspflicht. Sie richten sich nach den jeweils gültigen Betriebsvereinbarungen, Policies, betrieblichen Regelungen und Anspruchsvoraussetzungen zum Zeitpunkt des Eintritts in das Unternehmen. 

\n\n

    

\n" }, { "type": "additionalInformation", "title": "Weitere Informationen", "content": "

Für den ersten Schritt in Richtung Zukunft brauchst du nur drei Minuten Zeit und deinen aktuellen Lebenslauf. Du möchtest weitere Dokumente mit uns teilen? Mit wenigen Klicks kannst du sie deiner Bewerbung optional hinzufügen.

\n\n

Bei Fragen steht dir Veit Wankmüller unter career.de@capgemini.com zur Seite.

\n\n

Diese Anzeige ist online, solange die Stelle verfügbar ist. Wir freuen uns auf deine aussagekräftige Online-Bewerbung. Im Optimalfall dauert der gesamte Bewerbungsprozess vom Eingang deiner Bewerbung bis zum Vertragsangebot weniger als zwei Wochen. Bitte habe Verständnis, dass wir keine postalischen Bewerbungen berücksichtigen und Originalunterlagen nicht zurückgeschickt werden können.

\n\n

Capgemini lebt Vielfalt am Arbeitsplatz. Diversität sorgt in unserem Unternehmen für Inspiration und Innovation. Wir freuen uns besonders über Bewerbungen von qualifizierten Talenten, unabhängig von Herkunft, Nationalität, Geschlecht, Hautfarbe, ethnischer und sozialer Herkunft, Religion, Alter, Behinderung, sexueller Orientierung und Lebensphase.

\n\n

Mehr Infos

\n\n

Erfahre hier mehr zu unserem Bewerbungsprozess und erhalte Tipps für deine Bewerbung. Steig jetzt bei Capgemini ein und profitiere von unseren zahlreichen Benefits. Mehr Informationen zu den IT-Berufsfeldern bei Capgemini und unseren Standorten in Deutschland findest du auf unserer Karriereseite: capgemini.com/karriere

\n" } ], "textSnippet": "Dann werde als Software Engineer (w/m/d) Teil unseres Teams! Du möchtest den gesamten Software-Entwicklungsprozess verstehen, geschäftskritische Individualsof...", "textSnippetCleaned": "Dann werde als Software Engineer (w/m/d) Teil unseres Teams! Du möchtest den gesamten Software -Entwicklungsprozess verstehen, geschäftskritische Individualsoftware auf höchstem Niveau gestalten? Du s...", "salaryText": null, "salaryMin": 52000, "salaryMax": 72000, "salaryCurrency": "€", "salaryPeriod": "Jahr", "unifiedSalary": { "min": null, "max": null, "currency": null, "period": null, "salaryAvailable": true, "salaryType": null }, "ceSalary": { "isPredicted": true, "min": 52000, "max": 72000, "period": "Jahr", "currency": "€", "currencyIso": "EUR" }, "locationDetail": { "city": "Berlin", "postalCode": "", "country": "de", "lat": null, "lng": null }, "workFromHome": false, "workFromHomeLabel": null, "employmentType": "FULL_TIME", "directApply": true, "industry": "IT, IT-Softwareentwicklung", "skills": [], "labels": [], "isSponsored": false, "isTopJob": false, "isPartnershipJob": false, "isAnonymous": false, "isHighlighted": false, "companyRating": { "average": 4.36771, "count": 617 }, "partnership": { "isPartnershipJob": false, "isCrossPosted": false, "sourceSiteFriendlyName": null }, "metaData": { "positionOnPage": 1, "positionAbsolute": 1 }, "section": "main", "datePosted": "2026-04-15T13:03:04+02:00", "postedDaysAgo": 0, "publishFromDate": null, "publishToDate": null, "validThrough": null, "canonicalUrl": "https://www.stepstone.de/stellenangebote--Software-Engineer-w-m-d-Berlin-Capgemini-Deutschland-GmbH--13510716-inline.html?rltr=1_1_25_seorl_m_0_0_0_0_0_0", "portalUrl": "https://www.stepstone.de", "applyUrl": null, "sourceUrl": "https://www.stepstone.de/jobs/software%20engineer/in-Berlin", "sourceDomain": "stepstone.de", "searchQuery": "software engineer", "scrapedAt": "2026-04-15T19:38:49.454Z", "detailFetched": true, "contentQuality": "full", "contentHash": "f7112c5734a7d45e61f57ebcde98332676dc9d5b8f6f32695903acf8e87d4297", "similarJobCount": 10, "isRepost": false, "originalPublishDate": null, "repostOfId": null, "repostDetectedAt": null, "changeType": "NEW", "trackedHash": "a9fca2b596f0d10e00ead1df3b1355177437823afe3e2e25f4da02e486322e6b", "firstSeenAt": "2026-04-15T19:38:49.454Z", "lastSeenAt": "2026-04-15T19:38:49.454Z", "previousSeenAt": null, "expiredAt": null, "stateKey": "live-verify-1776281897067" } ``` #### Incremental fields When `incremental: true`, 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.de 1. Go to [StepStone.de Scraper](https://apify.com/blackfalcondata/stepstone-de-scraper?fpr=1h3gvi) 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. - Monitor new and changed listings on scheduled runs without processing the full dataset every time. - Build outreach lists using contact details and apply URLs from listings. - 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.de? StepStone.de Scraper uses [pay-per-event](https://apify.com/pricing?fpr=1h3gvi) 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** - 100 results: **$0.15** - 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 listings 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.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. #### Does StepStone.de 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.de Scraper with other apps? Yes. StepStone.de Scraper works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) 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.de 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.de Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) 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](https://apify.com/blackfalcondata/stepstone-de-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper?fpr=1h3gvi) — Scrape adzuna.com - the global job board with 20+ country markets. Structured salary. - [APEC.fr Scraper - French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper?fpr=1h3gvi) — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,. - [Arbeitsagentur Scraper - German Jobs](https://apify.com/blackfalcondata/arbeitsagentur-scraper?fpr=1h3gvi) — Scrape arbeitsagentur.de - Germany’s official employment portal with 1M+ listings. Contact data,. - [AutoScout24 Scraper](https://apify.com/blackfalcondata/autoscout24-scraper?fpr=1h3gvi) — Scrape autoscout24.com - Europe's largest used car marketplace with 770K+ listings. Structured. - [Bayt.com Scraper - Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com - the leading Middle East job board. Salary data, experience requirements. - [Bilbasen Scraper - Denmark’s Car Marketplace](https://apify.com/blackfalcondata/bilbasen-scraper?fpr=1h3gvi) — Scrape bilbasen.dk - Denmark’s largest car marketplace. Full vehicle specifications, seller. - [Bumeran Scraper](https://apify.com/blackfalcondata/bumeran-scraper?fpr=1h3gvi) — Scrape bumeran.com.ar - the largest job board across 8 LATAM countries. Work modality, contract. - [Cadremploi Job Scraper](https://apify.com/blackfalcondata/cadremploi-scraper?fpr=1h3gvi) — Scrape cadremploi.fr - French management and executive jobs. Salary ranges, apply links. ### Getting started with Apify New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — 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](https://apify.com/pricing?fpr=1h3gvi). # Actor input Schema ## `query` (type: `string`): Job search keywords (e.g. "software engineer"). Use JSON array \["query1", "query2"] for multi-query. ## `location` (type: `string`): City or region (e.g. "Berlin", "München"). Use JSON array for multi-location. ## `startUrls` (type: `array`): Direct StepStone search or job detail URLs. Overrides query/location when provided. ## `bundesland` (type: `string`): Filter by German federal state. Overrides location when set. ## `sort` (type: `string`): Sort order for results ## `age` (type: `integer`): Only show jobs posted within this many days (1, 3, 7, or 14) ## `remote` (type: `boolean`): Only show remote/home office positions ## `radius` (type: `string`): Search radius around location in km (requires location) ## `minSalary` (type: `integer`): Minimum annual salary filter (EUR) ## `contractType` (type: `string`): Filter by contract/employment type ## `experience` (type: `string`): Filter by experience level ## `workType` (type: `string`): Filter by work schedule (full-time / part-time) ## `companyId` (type: `integer`): Filter by StepStone company ID (numeric) ## `language` (type: `string`): Filter by job posting language (e.g., 'en', 'de') ## `applicationMethod` (type: `string`): Filter by how to apply ## `excludeSponsored` (type: `boolean`): Skip sponsored/promoted listings. Filters out items where isSponsored=true. ## `includeDetails` (type: `boolean`): Fetch each job's detail page for full description, structured salary, company profile, and similar jobs. Slower but much richer data. ## `descriptionFormat` (type: `string`): Which description formats to include in output. ## `maxResults` (type: `integer`): Maximum total job listings to return. 0 = unlimited. ## `maxPages` (type: `integer`): Maximum SERP pages per search source. StepStone returns 25 jobs/page. ## `compact` (type: `boolean`): When true, each result contains only the most essential fields: jobId, title, company, location, salary, skills, url, description. Use in AI-agent and MCP workflows where token budgets matter. ## `descriptionMaxLength` (type: `integer`): Truncate the description field to this many characters, appending '...' if truncated. 0 = no truncation. Pairs well with compact mode. ## `outputFields` (type: `array`): Select subset of output fields. Supports dot notation: 'ceSalary.min'. If empty: all fields returned. ## `datasetName` (type: `string`): Custom dataset name. Supports masks: {DATE} = YYYYMMDD, {TIME} = HHMMSS ## `mode` (type: `string`): full = return all jobs found. incremental = only return new/changed jobs (requires stateKey). ## `incrementalMode` (type: `boolean`): Track changes between runs. Emits NEW, UPDATED, EXPIRED records. Requires stateKey. ## `stateKey` (type: `string`): Stable identifier for the tracked search (e.g. "de-developer-berlin"). Required when incrementalMode is true. ## `emitUnchanged` (type: `boolean`): In incremental mode, also emit records that haven't changed since last run. ## `emitExpired` (type: `boolean`): In incremental mode, also emit records no longer found on StepStone. ## `skipReposts` (type: `boolean`): Exclude listings detected as reposts of previously seen jobs. ## `dedupStoreName` (type: `string`): Named KV store for cross-run dedup. Same name across runs = only new jobs pushed. ## `dedupKey` (type: `string`): Field used as unique key for dedup (default: jobId) ## `proxyConfiguration` (type: `object`): Proxy configuration for reliable fetches. Default works for most cases. ## `maxConcurrency` (type: `integer`): Maximum number of concurrent requests for SERP pages ## `maxRequestRetries` (type: `integer`): Maximum number of retries per request ## Actor input object example ```json { "query": "software engineer", "location": "Berlin", "sort": "relevance", "excludeSponsored": false, "includeDetails": true, "descriptionFormat": "all", "maxResults": 5, "maxPages": 5, "compact": false, "descriptionMaxLength": 0, "mode": "full", "incrementalMode": false, "emitUnchanged": false, "emitExpired": false, "skipReposts": false, "dedupKey": "jobId", "proxyConfiguration": { "useApifyProxy": true }, "maxConcurrency": 5, "maxRequestRetries": 3 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "software engineer", "maxResults": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/stepstone-de-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": "software engineer", "maxResults": 5, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/stepstone-de-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "software engineer", "maxResults": 5 }' | apify call blackfalcondata/stepstone-de-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/stepstone-de-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "StepStone.de Scraper - Germany Job Listings, Salary & Skills", "description": "Scrape Germany's largest job board stepstone.de for structured job data including salary range, skills, and employment type. Incremental mode tracks new and changed jobs across runs via a stable stateKey. Filter by German federal state (bundesland) or a radius around any city.", "version": "0.1", "x-build-id": "hA8qD9DYQ5mkI9VKF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~stepstone-de-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-stepstone-de-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~stepstone-de-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-stepstone-de-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~stepstone-de-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-stepstone-de-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "query": { "title": "Search Query", "type": "string", "description": "Job search keywords (e.g. \"software engineer\"). Use JSON array [\"query1\", \"query2\"] for multi-query." }, "location": { "title": "Location", "type": "string", "description": "City or region (e.g. \"Berlin\", \"München\"). Use JSON array for multi-location." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct StepStone search or job detail URLs. Overrides query/location when provided.", "items": { "type": "string" } }, "bundesland": { "title": "Federal State (Bundesland)", "enum": [ "baden-wuerttemberg", "bayern", "berlin", "brandenburg", "bremen", "hamburg", "hessen", "mecklenburg-vorpommern", "niedersachsen", "nordrhein-westfalen", "rheinland-pfalz", "saarland", "sachsen", "sachsen-anhalt", "schleswig-holstein", "thueringen" ], "type": "string", "description": "Filter by German federal state. Overrides location when set." }, "sort": { "title": "Sort By", "enum": [ "relevance", "date", "salary_low", "salary_high" ], "type": "string", "description": "Sort order for results", "default": "relevance" }, "age": { "title": "Posted Within", "minimum": 1, "type": "integer", "description": "Only show jobs posted within this many days (1, 3, 7, or 14)" }, "remote": { "title": "Remote Only", "type": "boolean", "description": "Only show remote/home office positions" }, "radius": { "title": "Radius (km)", "enum": [ "5", "10", "20", "30", "40", "50", "75", "100", "150", "200" ], "type": "string", "description": "Search radius around location in km (requires location)" }, "minSalary": { "title": "Minimum Salary", "minimum": 0, "type": "integer", "description": "Minimum annual salary filter (EUR)" }, "contractType": { "title": "Contract Type", "enum": [ "FULL_TIME", "PART_TIME", "CONTRACT", "TEMPORARY", "INTERNSHIP", "APPRENTICESHIP", "FREELANCE", "MINI_JOB", "WORKING_STUDENT", "VOLUNTEER", "THESIS", "DUAL_STUDY" ], "type": "string", "description": "Filter by contract/employment type" }, "experience": { "title": "Experience Level", "enum": [ "no", "required", "executive" ], "type": "string", "description": "Filter by experience level" }, "workType": { "title": "Work Type", "enum": [ "FULL_TIME", "PART_TIME" ], "type": "string", "description": "Filter by work schedule (full-time / part-time)" }, "companyId": { "title": "Company ID", "minimum": 1, "type": "integer", "description": "Filter by StepStone company ID (numeric)" }, "language": { "title": "Language", "type": "string", "description": "Filter by job posting language (e.g., 'en', 'de')" }, "applicationMethod": { "title": "Application Method", "enum": [ "INTERNAL", "EXTERNAL" ], "type": "string", "description": "Filter by how to apply" }, "excludeSponsored": { "title": "Exclude Sponsored", "type": "boolean", "description": "Skip sponsored/promoted listings. Filters out items where isSponsored=true.", "default": false }, "includeDetails": { "title": "Include Detail Pages", "type": "boolean", "description": "Fetch each job's detail page for full description, structured salary, company profile, and similar jobs. Slower but much richer data.", "default": true }, "descriptionFormat": { "title": "Description Format", "enum": [ "text", "html", "markdown", "all" ], "type": "string", "description": "Which description formats to include in output.", "default": "all" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum total job listings to return. 0 = unlimited.", "default": 50 }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum SERP pages per search source. StepStone returns 25 jobs/page.", "default": 5 }, "compact": { "title": "Compact Mode", "type": "boolean", "description": "When true, each result contains only the most essential fields: jobId, title, company, location, salary, skills, url, description. Use in AI-agent and MCP workflows where token budgets matter.", "default": false }, "descriptionMaxLength": { "title": "Description Max Length (chars)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Truncate the description field to this many characters, appending '...' if truncated. 0 = no truncation. Pairs well with compact mode.", "default": 0 }, "outputFields": { "title": "Output Fields", "type": "array", "description": "Select subset of output fields. Supports dot notation: 'ceSalary.min'. If empty: all fields returned." }, "datasetName": { "title": "Dataset Name", "type": "string", "description": "Custom dataset name. Supports masks: {DATE} = YYYYMMDD, {TIME} = HHMMSS" }, "mode": { "title": "Mode", "enum": [ "full", "incremental" ], "type": "string", "description": "full = return all jobs found. incremental = only return new/changed jobs (requires stateKey).", "default": "full" }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Track changes between runs. Emits NEW, UPDATED, EXPIRED records. Requires stateKey.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Stable identifier for the tracked search (e.g. \"de-developer-berlin\"). Required when incrementalMode is true." }, "emitUnchanged": { "title": "Emit Unchanged Records", "type": "boolean", "description": "In incremental mode, also emit records that haven't changed since last run.", "default": false }, "emitExpired": { "title": "Emit Expired Records", "type": "boolean", "description": "In incremental mode, also emit records no longer found on StepStone.", "default": false }, "skipReposts": { "title": "Skip Reposts", "type": "boolean", "description": "Exclude listings detected as reposts of previously seen jobs.", "default": false }, "dedupStoreName": { "title": "Dedup Store Name", "type": "string", "description": "Named KV store for cross-run dedup. Same name across runs = only new jobs pushed." }, "dedupKey": { "title": "Dedup Key", "type": "string", "description": "Field used as unique key for dedup (default: jobId)", "default": "jobId" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration for reliable fetches. Default works for most cases.", "default": { "useApifyProxy": true } }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of concurrent requests for SERP pages", "default": 5 }, "maxRequestRetries": { "title": "Max Request Retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "Maximum number of retries per request", "default": 3 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```