# StepStone Jobs Scraper β€” Titles, Companies, Locations (`hipersoft/stepstone-scraper`) Actor Scrape jobs from StepStone (stepstone.de) by keyword and location: job title, company, location, remote/home-office flag, posted time, apply link and a description snippet. Fast clean HTTP, no login. For recruiting, job boards and labor-market research. - **URL**: https://apify.com/hipersoft/stepstone-scraper.md - **Developed by:** [hiper soft](https://apify.com/hipersoft) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.0008 / job scraped This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 β€” Titles, Companies, Locations & Apply Links Scrape job listings from StepStone (stepstone.de) by keyword and location and get them back as clean, structured JSON. Give it plain search terms or full StepStone jobs URLs and pull job title, company, company page link, location, home-office flag, posted time, badges, a description snippet and a direct apply link. It uses fast, clean HTTP with no login and no browser, so runs are quick and cheap. No account, no API key. Built for recruiters, job-board builders and labor-market analysts in the German-speaking market. ### Features - πŸ”Ž **Keyword + location search** β€” pass `searches` as `"software engineer|Berlin"` lines, or feed full stepstone.de/jobs URLs. - πŸ”— **Advanced start URLs** β€” supply a `startUrls` request list of `{"url":"..."}` jobs pages for precise control. - 🏒 **Company links** β€” captures both the employer name and its StepStone `companyUrl` where present. - 🏠 **Home-office flag** β€” every record carries a boolean `workFromHome` so you can filter remote-friendly roles. - 🏷️ **Job badges** β€” collects listing badges (e.g. tags shown on the card) as an array. - ⚑ **Fast clean HTTP** β€” no browser, no login; works without a proxy and stays cheap. - πŸ“„ **Page depth control** β€” set `maxPagesPerSearch` (~25 jobs each) and `maxItems` to balance cost and coverage. ### What you get Each job is one dataset record like this: ```json { "jobId": "1234567", "title": "Softwareentwickler (m/w/d)", "company": "Acme GmbH", "companyUrl": "https://www.stepstone.de/cmp/de/acme-gmbh-12345", "location": "Berlin", "workFromHome": true, "posted": "vor 2 Tagen", "badges": ["Home Office mΓΆglich"], "snippet": "Wir suchen einen erfahrenen Softwareentwickler fΓΌr unser Plattform-Team...", "url": "https://www.stepstone.de/stellenangebote--softwareentwickler-berlin-acme-gmbh--1234567-inline.html" } ```` ### Input ```json { "searches": ["software engineer|Berlin", "pflege|MΓΌnchen"], "maxItems": 0, "maxPagesPerSearch": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` | Field | Description | | --- | --- | | `searches` | One per line: `"keyword|location"` or a full stepstone.de/jobs URL. | | `startUrls` | Advanced: a request list of `{"url":"..."}` StepStone jobs URLs. | | `maxItems` | Cap total jobs across all searches (0 = no cap). | | `maxPagesPerSearch` | Result pages (~25 jobs each) to crawl per search. | | `proxyConfiguration` | Optional β€” StepStone works without a proxy; enable one only at scale. | ### Use cases - Build or refresh a German-market job board with fresh listings. - Source candidates by monitoring roles by title and city. - Track hiring demand and home-office trends for labor-market research. - Feed structured job records into an ATS, CRM or analytics pipeline. ### Pricing Pay-per-event: you're billed a small amount per run and per item scraped β€” you only pay for what you get. See the **Pricing** tab for current rates. ### Notes This scraper reads only public StepStone job pages and returns the same data any visitor can see. It is an independent tool and is not affiliated with, endorsed by or connected to StepStone; "StepStone" is a trademark of its respective owner. Public data only. # Actor input Schema ## `searches` (type: `array`): Keyword + optional location as "keyword|location" (e.g. "software engineer|Berlin"), or a full stepstone.de/jobs URL. One per line. ## `startUrls` (type: `array`): Alternative to searches: a request list of {"url":"..."} StepStone jobs URLs. ## `maxItems` (type: `integer`): Cap total jobs across all searches (0 = no cap). ## `maxPagesPerSearch` (type: `integer`): Pages (~25 jobs each) to crawl per search. ## `proxyConfiguration` (type: `object`): Optional. StepStone works without a proxy; enable one only if you hit rate limits at scale. ## Actor input object example ```json { "searches": [ "software engineer|Berlin" ], "maxItems": 0, "maxPagesPerSearch": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "searches": [ "software engineer|Berlin" ] }; // Run the Actor and wait for it to finish const run = await client.actor("hipersoft/stepstone-scraper").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 = { "searches": ["software engineer|Berlin"] } # Run the Actor and wait for it to finish run = client.actor("hipersoft/stepstone-scraper").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 '{ "searches": [ "software engineer|Berlin" ] }' | apify call hipersoft/stepstone-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hipersoft/stepstone-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "StepStone Jobs Scraper β€” Titles, Companies, Locations", "description": "Scrape jobs from StepStone (stepstone.de) by keyword and location: job title, company, location, remote/home-office flag, posted time, apply link and a description snippet. Fast clean HTTP, no login. For recruiting, job boards and labor-market research.", "version": "1.0", "x-build-id": "elytdZqUwANWZVqIs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hipersoft~stepstone-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hipersoft-stepstone-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hipersoft~stepstone-scraper/runs": { "post": { "operationId": "runs-sync-hipersoft-stepstone-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hipersoft~stepstone-scraper/run-sync": { "post": { "operationId": "run-sync-hipersoft-stepstone-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searches": { "title": "Searches", "type": "array", "description": "Keyword + optional location as \"keyword|location\" (e.g. \"software engineer|Berlin\"), or a full stepstone.de/jobs URL. One per line.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs (advanced)", "type": "array", "description": "Alternative to searches: a request list of {\"url\":\"...\"} StepStone jobs URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max jobs (total)", "minimum": 0, "type": "integer", "description": "Cap total jobs across all searches (0 = no cap).", "default": 0 }, "maxPagesPerSearch": { "title": "Max pages per search", "minimum": 1, "maximum": 100, "type": "integer", "description": "Pages (~25 jobs each) to crawl per search.", "default": 10 }, "proxyConfiguration": { "title": "Proxy (optional)", "type": "object", "description": "Optional. StepStone works without a proxy; enable one only if you hit rate limits at scale.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```