# StepStone Jobs Scraper — Extract German/DACH Job Listings (`rigelbytes/stepstone-jobs-scraper`) Actor Scrape thousands of job listings from StepStone (DE, AT, BE, NL) with salary, skills, remote status & more. From $1/1,000 listings. JSON, CSV, Excel export. - **URL**: https://apify.com/rigelbytes/stepstone-jobs-scraper.md - **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community) - **Categories:** Jobs, MCP servers, Integrations - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.70 / 1,000 jobs This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## StepStone Jobs Scraper Extract thousands of job listings from StepStone (stepstone.de, stepstone.at, stepstone.be, stepstone.nl) to power market research, salary benchmarking, and automated job monitoring — starting at **$1 per 1,000 job listings** with Apify plan discounts. --- ### What can StepStone Jobs Scraper do for you? - **Build a German/DACH job database** — Collect structured listings from StepStone's unified API across Germany, Austria, Belgium, and the Netherlands. - **Salary & compensation analysis** — Extract salary ranges, currency, employment period, and salary type (gross/net) for market benchmarking. - **Track remote & hybrid work trends** — Capture work-from-home labels (Remote possible, Partially remote, On-site) across thousands of listings. - **Skills-based filtering** — Get normalized skill tags (Python, Django, SQL, etc.) from each job posting for talent demand analysis. - **Automate job alert monitoring** — Schedule recurring crawls with Apify's scheduler to track new postings by keyword, location, and radius. - **Multi-market coverage** — Search across four StepStone domains from a single input configuration. --- ### What data can you extract? | Field | Description | | ---------------------------- | ---------------------------------------------------------------- | | 💼 **title** | Job title (e.g. "Python Entwickler (m/w/d)") | | 🏢 **companyName** | Employer name | | 📍 **location** | Job location (city, country) | | 📅 **datePosted** | ISO 8601 posting timestamp | | 💰 **salaryMin / salaryMax** | Salary range (numeric, per period) | | 💶 **salaryCurrency** | Currency (EUR, etc.) | | 🏠 **workFromHomeLabel** | Remote work label (Remote possible / Partially remote / On-site) | | 🏷️ **labels** | Employment type tags (Full-time, Permanent, etc.) | | 🛠️ **skills** | Extracted skill tags (Python, SQL, Docker) | | 🔗 **url** | Direct link to the job posting | | 📝 **textSnippet** | Short description snippet | | ⭐ **isTopJob / isSponsored** | Promoted/featured job flags | | 🔍 **searchUrl / page** | Which search query and page produced this result | --- ### Why use this scraper? - **🔬 Market research** — Analyze hiring demand, salary ranges, and in-demand skills across German-speaking job markets. - **📊 Salary benchmarking** — Compare compensation data (min/max/currency/period) for specific roles and locations. - **🤖 Automated monitoring** — Schedule recurring crawls to track job posting trends, new vacancies, and employer activity. - **📦 Structured data export** — Get clean JSON, CSV, or Excel output ready for analysis in Python, R, Tableau, or Google Sheets. --- ### Pricing - **$1.00 per 1,000 job listings** (dataset items) - Apify plan discounts apply: **Bronze $0.90**, **Silver $0.80**, **Gold $0.70** per 1,000 - No hidden fees or limits on usage. --- ### How to use StepStone Jobs Scraper 1. **Create a free Apify account** at [apify.com](https://apify.com) if you don't have one. 2. **Open the [StepStone Jobs Scraper](https://apify.com/rigelbytes/stepstone-jobs-scraper)** in Apify Console. 3. **Paste your search URL** (e.g. `https://www.stepstone.de/jobs/python/in-berlin?radius=30`) or use the keyword and location fields to build one automatically. 4. **Configure filters** — set max items, search radius, StepStone domain, and proxy preferences. 5. **Click "Start"** and wait for the crawl to finish. 6. **Download your dataset** as JSON, CSV, HTML, or Excel from the Output tab. --- ### Input | Field | Type | Required | Description | | -------------------- | ---------------------------- | -------- | --------------------------------------------------------------------------------------- | | `startUrls` | `array` of `{ url: string }` | No | Direct StepStone job search URLs (use this OR searchQueries/searchLocations) | | `searchQueries` | `string[]` | No | Job keywords or titles (e.g. "python", "data engineer") | | `searchLocations` | `string[]` | No | City or region names (e.g. "Berlin", "München") | | `radius` | `integer` | No | Search radius in km (default: 30) | | `searchFilters` | `object` | No | Additional URL query parameters (sort, employmentType, etc.) | | `baseUrl` | `string` | No | StepStone site origin (default: "[https://www.stepstone.de](https://www.stepstone.de)") | | `maxItems` | `integer` | No | Maximum job records to scrape (0 = unlimited) | | `proxyConfiguration` | `object` | No | Apify proxy settings (residential recommended) | #### 📝 Copy for Use: ```json { "startUrls": [ { "url": "https://www.stepstone.de/jobs/python/in-berlin?radius=30" } ], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "DE" } } ```` *** ### Output StepStone Jobs Scraper Output [Detailed Data](#detailed-data) *** ### Why Choose This Scraper? - **💰 Affordable**: Pay only **$1 per 1,000 job listings** scraped, with additional Apify plan discounts. - **📋 Comprehensive**: Capture 33+ data points per listing — title, company, location, salary, skills, remote status, and more. - **⚡ Easy to Use**: Provide a StepStone search URL or simply enter keywords and location — no configuration headaches. - **🛡️ Reliable**: Uses StepStone's own resultlist API with residential proxy support for consistent, accurate results. *** ### Recommended Proxy Providers - **Shifter** - Reliable residential proxies all over the world. - Cheap rates - [Order Shifter Now](https://shifter.io/r/YoBB/order) - Get 10% Off any product, use coupon `rigelbytes-YoBB`. - **OxyLabs** - **100M+ Proxies** - Fastest proxies in the market - Real profile, human-like Residential IPs - Quality assurance framework for most reliable IPs - [Get Proxies](https://oxylabs.go2cloud.org/aff_c?offer_id=7\&aff_id=1366\&url_id=7) - **DataImpulse** - Covers **200+ Countries** - Reliable Residential Proxies for just $1/GB - [Get Residential Proxies](https://dataimpulse.com/?aff=89421) ### [Learn More About Proxies](#understanding-proxies) ### 🙌 Why Buy Through Our Affiliate Link? - Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link. - Support Our Work: Each purchase helps us maintain and improve the tools and services we provide. - No Extra Cost: You pay the same price, but part of it goes to supporting our efforts. #### Running via Apify Console You can run this actor from the Apify Console by providing the necessary input parameters. #### Running via API You can trigger this actor using the Apify API, passing the required input in the request body. #### API Examples **Python** ```shell from apify_client import ApifyClient client = ApifyClient("YOUR-APIFY-TOKEN") run_input = { "startUrls": [ { "url": "https://www.stepstone.de/jobs/python/in-berlin?radius=30" } ], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "DE" } } run = client.actor("rigelbytes/stepstone-jobs-scraper").call(run_input=run_input) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` **JavaScript** ```shell import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR-APIFY-TOKEN' }); const runInput = { startUrls: [ { url: "https://www.stepstone.de/jobs/python/in-berlin?radius=30" } ], maxItems: 100, proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"], apifyProxyCountry: "DE" } }; const run = await client.actor("rigelbytes/stepstone-jobs-scraper").call(runInput); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` **cURL** ```shell curl -X POST \ "https://api.apify.com/v2/acts/rigelbytes/stepstone-jobs-scraper/runs?token=YOUR-APIFY-TOKEN" \ -H "Content-Type: application/json" \ -d '{ "startUrls": [ { "url": "https://www.stepstone.de/jobs/python/in-berlin?radius=30" } ], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "DE" } }' ``` *** ### 🚀 Other Tools by Rigel Bytes Explore **106** more scraping tools by Rigel Bytes, organized by use case: #### 📱 Social Media Scrape Instagram, TikTok, LinkedIn, and more for content research and marketing intelligence. - 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Extract makes, models, prices, mileage, seller info,... - **[Daraz](https://apify.com/rigelbytes/daraz)** — Scrape products, prices, and seller data from Daraz for competitor monitoring, pricing, and product research. - **[Etsy Scraper](https://apify.com/rigelbytes/etsy-scraper)** — Scrape products, prices, and seller data from Etsy for competitor monitoring, pricing, and product research. - **[Homedepot Scraper](https://apify.com/rigelbytes/homedepot-scraper)** — HomeDepot Products Scraper lets you extract product data from homedepot.com using a collection URL and delivery ZIP.... - **[Kleinanzeigen Scraper](https://apify.com/rigelbytes/kleinanzeigen-scraper)** — Scrape listings from kleinanzeigen.de — search results and detail pages for any category (electronics, vehicles,... - **[Otodom Scraper - Polish Real Estate Listings](https://apify.com/rigelbytes/otodom-scraper)** — Scrapes property listings from Otodom.pl, Poland's leading real estate marketplace. Supports filters for transaction... #### 💼 Jobs & Recruitment Collect job listings and company hiring data for market analysis. - **[Upwork Jobs Scraper](https://apify.com/rigelbytes/upwork-jobs-scraper)** — Scrapes Upwork freelance job listings by keyword with full search filters (sort, experience, job type, budget,... - **[ZipRecruiter Job Scraper](https://apify.com/rigelbytes/ziprecruiter-scraper)** — Scrape job listings from ZipRecruiter with search queries, locations, and radius filters. Extracts title, company,... #### 📩 Lead Generation Find business contacts, leads, and company data for sales and outreach. - **[Company Service Finder](https://apify.com/rigelbytes/company-service-finder)** — The Company Service Finder uses AI to extract and analyze company services from Google Search & Maps. Get detailed... - **[Doctify Scraper](https://apify.com/rigelbytes/doctify-scraper)** — Doctify Scraper lets you extract doctor and practice data from doctify.com using a search results URL. Collect... - **[Doctolib Scraper](https://apify.com/rigelbytes/doctolib-scraper)** — Scrape doctor profiles, availability, and practice details from Doctolib.de — Germany's largest medical appointment... - **[FindLaw Law Firm Scraper - Attorney & Law Firm Data Extraction](https://apify.com/rigelbytes/findlaw-scraper)** — Scrape law firm profiles from FindLaw.com. Extract detailed attorney and firm information including contact details,... - **[Google Maps Scraper](https://apify.com/rigelbytes/google-maps-scraper)** — Find business leads and contact details from Google Maps for outbound sales, prospecting, and CRM enrichment. - **[Website Services Finder](https://apify.com/rigelbytes/website-services-finder)** — Automatically extract and analyze company services from any business website using advanced AI. Choose from 5 AI... - **[Zillow Agents](https://apify.com/rigelbytes/zillow-agents)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment. - **[Zillow Agents Phone](https://apify.com/rigelbytes/zillow-agents-phone)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment. - **[Zillow Agents Vault](https://apify.com/rigelbytes/zillow-agents-vault)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment. #### ⭐ Reviews & Ratings Monitor reviews and reputation data across review platforms. - **[Airbnb Listing Reviews](https://apify.com/rigelbytes/airbnb-listing-reviews)** — Collect reviews and ratings from Airbnb for reputation monitoring and customer insights. - **[BBB Scraper](https://apify.com/rigelbytes/bbb-scraper)** — Collect reviews and ratings from BBB for reputation monitoring and customer insights. - **[Costco Product Scraper](https://apify.com/rigelbytes/costco-scraper)** — Scrapes product data from Costco.com including prices, descriptions, ratings, and availability. Supports search... - **[HRS Hotel Reviews Scraper](https://apify.com/rigelbytes/hrs-hotel-reviews-scraper)** — Extract hotel details, room offers, and guest reviews from HRS hotel URLs. - **[HRS Hotel Scraper](https://apify.com/rigelbytes/hrs-scraper)** — Scrapes hotel listings, prices, ratings, and amenities from HRS (hrs.com) by location and travel dates. - **[Rottentomatoes Reviews Scraper](https://apify.com/rigelbytes/rottentomatoes-reviews-scraper)** — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights. - **[Trustpilot Reviews Scraper](https://apify.com/rigelbytes/trustpilot-reviews)** — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights. #### 🍔 Food & Delivery Extract restaurant, grocery, and delivery platform data. - **[Instacart Scraper](https://apify.com/rigelbytes/instacart-scraper)** — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation. - **[Publix Scraper](https://apify.com/rigelbytes/publix-scraper)** — Scrape menus, stores, and delivery data from Publix for data-driven research and automation. #### 🛠️ Developer Tools General-purpose scraping and automation tools. - **[Web Crawler](https://apify.com/rigelbytes/webcrawler)** — This web crawler is designed to provide users with complete flexibility by allowing them to use their \*\*own... *** ### Understanding Proxies When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location. #### Why Use Proxies? - Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer. - Access Geo-restricted Content: Proxies let you access content or websites restricted by location. - Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing. #### Types of Proxies 1. Residential Proxies - Real IP addresses provided by ISPs to home users. - They mimic regular users, making them harder to detect. - Best for: Long-term, undetectable scraping, and avoiding blocks. 2. Data Center Proxies - IP addresses from servers in data centers. - Faster and cheaper than residential proxies but easier to detect and block. - Best for: High-speed scraping, but with a higher risk of detection. 3. Mobile Proxies - IPs provided by mobile carriers (3G/4G/5G networks). - Very difficult to detect, as they appear as regular mobile users. - Best for: Mobile-related scraping or avoiding sophisticated blocks. #### Rotating Proxies vs. Straight Proxies - Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns. - Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP. *** ### About Rigel Bytes Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making. *** ### Contact Us Ready to unlock the power of data? Reach out to us at () or [book an appointment](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals. *** ### Detailed Data ```json [ { "id": 12345678, "harmonisedId": "stepstone-12345678", "title": "Python Entwickler (m/w/d)", "url": "https://www.stepstone.de/stellenanzeige/python-entwickler-12345678", "companyId": 98765, "companyName": "Tech Startup GmbH", "companyUrl": "https://www.techstartup.de", "companyLogoUrl": "https://www.stepstone.de/logo/98765", "location": "Berlin, Deutschland", "postCode": "10115", "datePosted": "2026-07-22T08:15:00Z", "textSnippet": "Wir suchen einen erfahrenen Python Entwickler für unser dynamisches Team in Berlin.", "labels": ["Vollzeit", "Unbefristet"], "topLabels": ["Top-Job"], "skills": ["Python", "Django", "PostgreSQL", "Docker"], "salaryMin": 60000, "salaryMax": 85000, "salaryCurrency": "EUR", "salaryPeriod": "YEAR", "salaryType": "GROSS", "salaryAvailable": true, "workFromHome": "2", "workFromHomeLabel": "Remote possible", "isAnonymous": false, "isTopJob": true, "isSponsored": false, "isHighlighted": false, "isPartnershipJob": false, "isCrossPosted": false, "sourceSiteFriendlyName": null, "section": "search", "searchUrl": "https://www.stepstone.de/jobs/python/in-berlin?radius=30", "page": 1 } ] ``` # Actor input Schema ## `startUrls` (type: `array`): Direct StepStone job search URLs to scrape. Use this OR searchQueries/searchLocations below — not both required. ## `searchQueries` (type: `array`): Job keywords or titles to search for (e.g. python, data engineer). Combined with OR when multiple values are provided. ## `searchLocations` (type: `array`): City or region names to filter results (e.g. Berlin, München). Optional — omit to search nationwide. ## `radius` (type: `integer`): Radius around each location in kilometers. Only used when building URLs from searchQueries/searchLocations. ## `searchFilters` (type: `object`): Additional StepStone query parameters appended to built search URLs (e.g. sort, employmentType, workFromHome, whatType). Ignored when using startUrls. ## `baseUrl` (type: `string`): StepStone site origin used when building search URLs from keywords. ## `maxItems` (type: `integer`): Maximum number of job records to scrape (0 = unlimited). ## `proxyConfiguration` (type: `object`): Apify residential proxy is strongly recommended — StepStone blocks datacenter IPs. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.stepstone.de/jobs/python/in-berlin?radius=30" } ], "searchQueries": [ "python" ], "searchLocations": [ "Berlin" ], "radius": 30, "searchFilters": {}, "baseUrl": "https://www.stepstone.de", "maxItems": 25, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing scraped StepStone job listings ## `runStats` (type: `string`): Aggregate scrape statistics for this run # 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 = { "startUrls": [ { "url": "https://www.stepstone.de/jobs/python/in-berlin?radius=30" } ], "searchQueries": [ "python" ], "searchLocations": [ "Berlin" ], "searchFilters": {}, "maxItems": 25, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("rigelbytes/stepstone-jobs-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 = { "startUrls": [{ "url": "https://www.stepstone.de/jobs/python/in-berlin?radius=30" }], "searchQueries": ["python"], "searchLocations": ["Berlin"], "searchFilters": {}, "maxItems": 25, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("rigelbytes/stepstone-jobs-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 '{ "startUrls": [ { "url": "https://www.stepstone.de/jobs/python/in-berlin?radius=30" } ], "searchQueries": [ "python" ], "searchLocations": [ "Berlin" ], "searchFilters": {}, "maxItems": 25, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call rigelbytes/stepstone-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rigelbytes/stepstone-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "StepStone Jobs Scraper — Extract German/DACH Job Listings", "description": "Scrape thousands of job listings from StepStone (DE, AT, BE, NL) with salary, skills, remote status & more. From $1/1,000 listings. JSON, CSV, Excel export.", "version": "1.0", "x-build-id": "P2nosQWz7QB6EX1ii" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rigelbytes~stepstone-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rigelbytes-stepstone-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/rigelbytes~stepstone-jobs-scraper/runs": { "post": { "operationId": "runs-sync-rigelbytes-stepstone-jobs-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/rigelbytes~stepstone-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-rigelbytes-stepstone-jobs-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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct StepStone job search URLs to scrape. Use this OR searchQueries/searchLocations below — not both required.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Job keywords or titles to search for (e.g. python, data engineer). Combined with OR when multiple values are provided.", "items": { "type": "string" } }, "searchLocations": { "title": "Search Locations", "type": "array", "description": "City or region names to filter results (e.g. Berlin, München). Optional — omit to search nationwide.", "items": { "type": "string" } }, "radius": { "title": "Search Radius (km)", "minimum": 0, "maximum": 200, "type": "integer", "description": "Radius around each location in kilometers. Only used when building URLs from searchQueries/searchLocations.", "default": 30 }, "searchFilters": { "title": "Search Filters", "type": "object", "description": "Additional StepStone query parameters appended to built search URLs (e.g. sort, employmentType, workFromHome, whatType). Ignored when using startUrls." }, "baseUrl": { "title": "StepStone Base URL", "enum": [ "https://www.stepstone.de", "https://www.stepstone.at", "https://www.stepstone.be", "https://www.stepstone.nl" ], "type": "string", "description": "StepStone site origin used when building search URLs from keywords.", "default": "https://www.stepstone.de" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of job records to scrape (0 = unlimited).", "default": 0 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify residential proxy is strongly recommended — StepStone blocks datacenter IPs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```