# Stepstone Jobs Scraper ($0.30/1k results) (`thescrappa/stepstone-jobs-scraper`) Actor Search Stepstone job listings across Germany, Austria, Netherlands, and Belgium with Scrappa. Extract job titles, companies, locations, salaries, dates, descriptions, skills, labels, and pagination. - **URL**: https://apify.com/thescrappa/stepstone-jobs-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Lead generation, Marketing, Automation - **Stats:** 2 total users, 1 monthly users, 37.5% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Search Stepstone job listings across Germany, Austria, Netherlands, and Belgium with Scrappa. This actor returns clean dataset rows for job titles, companies, locations, salaries, posting dates, skills, labels, job URLs, and pagination metadata. ### Pricing This actor is intended to run on usage-aligned paid pricing at $0.30 per 1,000 dataset results. The actor only pushes job rows to the dataset, so billing maps directly to successful result volume. ### Input ```json { "query": "software engineer", "location": "Berlin", "country": "de", "sort": "date", "limit": 25, "page": 1 } ```` Supported countries are `de`, `at`, `nl`, and `be`. Use `page` with `data.pagination.next_page` from the raw `OUTPUT` key-value-store record to continue pagination. ### Output Each dataset item is one Stepstone job listing. The actor preserves the raw Scrappa job fields and adds table-friendly aliases: ```json { "id": "12345678", "title": "Senior Software Engineer (m/w/d)", "url": "https://www.stepstone.de/jobs----12345678-inline.html", "company": { "id": 9876, "name": "TechGmbH", "logo_url": "https://cdn.stepstone.de/logo/9876.png", "url": "https://www.stepstone.de/cmp/techgmbh" }, "company_name": "TechGmbH", "company_url": "https://www.stepstone.de/cmp/techgmbh", "location": { "formatted": "Berlin", "city": "Berlin", "region": null, "country": null }, "location_formatted": "Berlin", "location_city": "Berlin", "location_region": null, "location_country": null, "salary": null, "date_posted": "2026-03-19T08:00:00+01:00", "description": "We are looking for a Senior Software Engineer...", "skills": ["Python", "Docker", "Kubernetes"], "labels": ["Home office possible"], "work_from_home": true, "is_highlighted": false, "is_sponsored": false } ``` The complete Scrappa response, including `pagination` and `metadata`, is saved to the key-value store under `OUTPUT`. # Actor input Schema ## `query` (type: `string`): Search keywords, for example software engineer, nurse, data analyst, or sales manager. Empty input defaults to a Berlin software example query. ## `location` (type: `string`): City, region, or remote location, for example Berlin, Munich, Vienna, Amsterdam, Brussels, or remote. ## `country` (type: `string`): Stepstone country market. ## `radius` (type: `integer`): Search radius from the provided location. Scrappa accepts 0 to 200. ## `sort` (type: `string`): Sort order for Stepstone results. ## `job_type` (type: `string`): Filter by job type. ## `work_from_home` (type: `boolean`): Only return listings marked as work-from-home or home-office friendly. ## `date_posted` (type: `integer`): Only return jobs posted in the selected number of days, for example 1, 3, 7, or 30. ## `page` (type: `integer`): Stepstone result page to fetch. Use data.pagination.next\_page from a previous run to continue. ## `limit` (type: `integer`): Number of jobs to return in one request. Scrappa accepts 1 to 100. ## Actor input object example ```json { "query": "software engineer", "location": "Berlin", "country": "de", "sort": "relevance", "page": 1, "limit": 25 } ``` # 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", "location": "Berlin" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/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 = { "query": "software engineer", "location": "Berlin", } # Run the Actor and wait for it to finish run = client.actor("thescrappa/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 '{ "query": "software engineer", "location": "Berlin" }' | apify call thescrappa/stepstone-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/stepstone-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stepstone Jobs Scraper ($0.30/1k results)", "description": "Search Stepstone job listings across Germany, Austria, Netherlands, and Belgium with Scrappa. Extract job titles, companies, locations, salaries, dates, descriptions, skills, labels, and pagination.", "version": "1.0", "x-build-id": "XjphcKSZaRs0cL3t0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~stepstone-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-stepstone-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/thescrappa~stepstone-jobs-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-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/thescrappa~stepstone-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-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": { "query": { "title": "Job Search Query", "type": "string", "description": "Search keywords, for example software engineer, nurse, data analyst, or sales manager. Empty input defaults to a Berlin software example query." }, "location": { "title": "Location", "type": "string", "description": "City, region, or remote location, for example Berlin, Munich, Vienna, Amsterdam, Brussels, or remote." }, "country": { "title": "Country", "enum": [ "de", "at", "nl", "be" ], "type": "string", "description": "Stepstone country market.", "default": "de" }, "radius": { "title": "Search Radius", "minimum": 0, "maximum": 200, "type": "integer", "description": "Search radius from the provided location. Scrappa accepts 0 to 200." }, "sort": { "title": "Sort", "enum": [ "relevance", "date" ], "type": "string", "description": "Sort order for Stepstone results.", "default": "relevance" }, "job_type": { "title": "Job Type", "enum": [ "full_time", "part_time", "internship", "freelance" ], "type": "string", "description": "Filter by job type." }, "work_from_home": { "title": "Work From Home", "type": "boolean", "description": "Only return listings marked as work-from-home or home-office friendly." }, "date_posted": { "title": "Date Posted", "minimum": 1, "maximum": 30, "type": "integer", "description": "Only return jobs posted in the selected number of days, for example 1, 3, 7, or 30." }, "page": { "title": "Page", "minimum": 1, "maximum": 500, "type": "integer", "description": "Stepstone result page to fetch. Use data.pagination.next_page from a previous run to continue.", "default": 1 }, "limit": { "title": "Results Per Page", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of jobs to return in one request. Scrappa accepts 1 to 100.", "default": 25 } } }, "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 } } } } } } } } } } ```