# StepStone Jobs Scraper - Preiswert Low-cost πŸ’²πŸ”΄πŸ’ΌπŸ”₯ (`delectable_incubator/stepstone-jobs-scraper---preiswert-low-cost`) Actor Scrape job listings from StepStone.de by keyword πŸ§‘β€πŸ’». Extract job titles, companies, locations, salaries, employment types, remote options, and more. Perfect for job search, recruitment, and job market analysis. Build fast, structured datasets to track hiring trends efficiently πŸ“Š - **URL**: https://apify.com/delectable\_incubator/stepstone-jobs-scraper---preiswert-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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.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

StepStone Jobs Scraper - Germany Job Data Extraction

--- ### StepStone Jobs Scraper | PrimeScrape πŸ’ΌπŸ”Ž Scale Job Data Extraction Extract high-quality job listings from StepStone.de at scale with precision and speed. This Apify Actor collects structured job data from one of Europe’s leading job platforms, enabling powerful recruitment workflows, job market analysis & data-driven hiring strategies πŸš€πŸ“Š --- ### StepStone Job Scraper | PrimeScrape Extrahieren Sie strukturierte Stellenanzeigen von StepStone.de, einer der fΓΌhrenden Jobplattformen in Deutschland und Europa. Ideal fΓΌr Recruiting, Jobmarktanalyse, HR Intelligence und Datenaggregation πŸ‡©πŸ‡ͺπŸ’Ό --- ### 🌍 What This Scraper Does This scraper extracts job listings directly from: πŸ‘‰ https://www.stepstone.de It supports: Keyword-based job search (AI, Marketing, Engineering, etc.) Location filtering (city, region) Radius search (km-based) Sorting (Relevance / Date) It automatically: βœ” Handles pagination βœ” Extracts structured job listings βœ” Normalizes company & job metadata βœ” Returns clean datasets ready for use --- ### πŸš€ Key Features βœ” StepStone Germany coverage πŸ‡©πŸ‡ͺ βœ” Advanced filters (keyword, location, radius) βœ” Remote job detection 🏠 βœ” Structured JSON / CSV / Excel output βœ” Fast & scalable scraping engine ⚑ βœ” Clean, production-ready datasets --- ### πŸ“Š Data Extracted πŸ“› Job Title 🏒 Company Name πŸ“ Location πŸ“… Posting Date 🌐 Job URL πŸ”— Company URL πŸ–ΌοΈ Company Logo πŸ’Έ Salary (if available) 🏠 Work-from-home availability πŸ“ Job Description Snippet --- ### πŸ“₯ Input Example ```` { "keyword": "AI", "place": "Berlin", "sort\_by": "Date", "rayon": "50 km", "maxitems": 150 } ``` | Field | Type | Description | | -------- | ------ | ---------------------- | | keyword | string | Job keyword (required) | | place | string | City / location | | sort_by | string | Relevance or Date | | rayon | string | Radius (5 km β†’ 100 km) | | maxitems | number | Max results to scrape | --- ### πŸ“€ Output Example ``` { "id": 12448274, "title": "Senior Java Entwickler mit Fokus auf AI (m/w/d)", "company": "mgm technology partners GmbH", "location": "Berlin, Hamburg, MΓΌnchen", "date\_posted": "2025-04-29T06:48:08+02:00", "url": "https://www.stepstone.de/...", "company\_url": "https://www.stepstone.de/cmp/...", "logo": "https://www.stepstone.de/logo.gif", "salary": "", "work\_from\_home": "2", "snippet": "Senior Java Entwickler mit Fokus auf AI..." } ```` --- ### 🌐 Use Cases πŸ’Ό Recruitment & Talent Acquisition πŸ“Š Job Market Analysis (Germany & EU) 🏒 Employer Intelligence πŸ“ Regional Hiring Trends πŸ€– AI / ML Job Datasets πŸ“¬ Job Aggregators & Job Boards --- ### βš™οΈ Why Use This Scraper? πŸ“Œ Access one of Europe’s largest job platforms πŸ“Œ Extract structured job data at scale πŸ“Œ Monitor hiring trends & remote jobs πŸ“Œ Automate job aggregation pipelines πŸ“Œ Power recruitment analytics dashboards --- ### πŸ‡©πŸ‡ͺ Supported Job Categories βœ” IT & Software Development βœ” Marketing & Sales βœ” Engineering βœ” Finance & Consulting βœ” Healthcare βœ” Logistics & Operations βœ” Remote & Hybrid Jobs --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by StepStone. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $1.49 / 1000 results --- ### Related Actors If you're interested in **other german** (trade fair / messe) data scraping solutions, explore more exhibitor & trade fair scrapers across Europe πŸ‡©πŸ‡ͺπŸ‡ͺπŸ‡Ί (Coming soon) --- ### πŸ“¬ Support ⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keyword` (type: `string`): Enter a keyword or job title to search on StepStone.de. / Gib ein Stichwort oder eine Jobbezeichnung fΓΌr die Suche auf StepStone.de ein. ## `place` (type: `string`): Specify the city/region for job search. / Gib die Stadt oder Region fΓΌr die Jobsuche an. ## `sort_by` (type: `string`): Choose how to sort the job listings. / WΓ€hle, wie die Jobangebote sortiert werden sollen. ## `rayon` (type: `string`): Select search radius around the location. / WΓ€hle den Suchradius um den Standort. ## `maxitems` (type: `integer`): Maximum number of job listings to collect. / Maximale Anzahl der zu sammelnden Jobangebote. ## Actor input object example ```json { "keyword": "IT", "place": "Berlin", "sort_by": "Date", "rayon": "75 km", "maxitems": 100 } ```` # 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 = { "keyword": "IT", "place": "Berlin", "sort_by": "Date", "rayon": "75 km", "maxitems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/stepstone-jobs-scraper---preiswert-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keyword": "IT", "place": "Berlin", "sort_by": "Date", "rayon": "75 km", "maxitems": 100, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/stepstone-jobs-scraper---preiswert-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keyword": "IT", "place": "Berlin", "sort_by": "Date", "rayon": "75 km", "maxitems": 100 }' | apify call delectable_incubator/stepstone-jobs-scraper---preiswert-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/stepstone-jobs-scraper---preiswert-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "StepStone Jobs Scraper - Preiswert Low-cost πŸ’²πŸ”΄πŸ’ΌπŸ”₯", "description": "Scrape job listings from StepStone.de by keyword πŸ§‘β€πŸ’». \n\nExtract job titles, companies, locations, salaries, employment types, remote options, and more. Perfect for job search, recruitment, and job market analysis. \n\nBuild fast, structured datasets to track hiring trends efficiently πŸ“Š", "version": "0.0", "x-build-id": "hswX5bxupz89ZIUYH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~stepstone-jobs-scraper---preiswert-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-stepstone-jobs-scraper---preiswert-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~stepstone-jobs-scraper---preiswert-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-stepstone-jobs-scraper---preiswert-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~stepstone-jobs-scraper---preiswert-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-stepstone-jobs-scraper---preiswert-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keyword", "place" ], "properties": { "keyword": { "title": "Job keyword or position πŸ” / Job-Stichwort oder Position πŸ”", "type": "string", "description": "Enter a keyword or job title to search on StepStone.de. / Gib ein Stichwort oder eine Jobbezeichnung fΓΌr die Suche auf StepStone.de ein.", "default": "IT" }, "place": { "title": "Location (city or region) πŸ™οΈ / Standort (Stadt oder Region) πŸ™οΈ", "type": "string", "description": "Specify the city/region for job search. / Gib die Stadt oder Region fΓΌr die Jobsuche an.", "default": "Berlin" }, "sort_by": { "title": "Sort results by πŸ“Š / Sortierung πŸ“Š", "enum": [ "Relevance", "Date" ], "type": "string", "description": "Choose how to sort the job listings. / WΓ€hle, wie die Jobangebote sortiert werden sollen.", "default": "Date" }, "rayon": { "title": "Search radius 🌍 / Suchradius 🌍", "enum": [ "5 km", "10 km", "20 km", "30 km", "40 km", "50 km", "75 km", "100 km" ], "type": "string", "description": "Select search radius around the location. / WΓ€hle den Suchradius um den Standort.", "default": "75 km" }, "maxitems": { "title": "Maximum jobs to scrape πŸ“ˆ / Maximale Anzahl an Jobs πŸ“ˆ", "type": "integer", "description": "Maximum number of job listings to collect. / Maximale Anzahl der zu sammelnden Jobangebote.", "default": 100 } } }, "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 } } } } } } } } } } ```