# StepStone Jobs Scraper (`dami_studio/stepstone-jobs-scraper`) Actor Scrape job listings from StepStone (Germany, Austria, UK, Netherlands, Belgium) by keyword and location. Returns title, company, location, salary, posted date, remote flag, snippet and the job URL. Paginated, residential-proxy ready. - **URL**: https://apify.com/dami\_studio/stepstone-jobs-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Jobs, Integrations, Lead generation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $3.00 / 1,000 job returneds 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 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 Scrape job listings from **StepStone** — Germany, Austria, UK, Netherlands and Belgium — by keyword and location. Clean, structured output, paginated. StepStone sits behind anti-bot protection that blocks the obvious API and most datacenter IPs, which is why naive scrapers return empty or get captcha pages. This actor reads the rendered listings the way a browser sees them and rotates a fresh residential IP per page, with explicit handling for blocked pages instead of silently returning nothing. ### Input | Field | Notes | |---|---| | `keywords` | Job title / keywords, e.g. `software engineer`, `marketing manager`. | | `location` | Optional city/region, e.g. `Berlin`, `Wien`. | | `site` | StepStone country site: DE / AT / UK / NL / BE. | | `maxItems` | Jobs to collect; the scraper paginates to reach it. | ### Output One row per job, each with `ok: true`: | Field | Notes | |---|---| | `jobId` | StepStone listing id. May be `null` if the URL has no id. | | `title` | Job title. | | `company` | Hiring company. May be `null` when StepStone hides it. | | `location` | Job location. May be `null`. | | `salary` | Only present when the listing publishes it — frequently `null`. | | `postedText` | Human-readable posted date (e.g. "vor 3 Tagen"). May be `null`. | | `workFromHome` | `true`/`false` remote flag. | | `snippet` | Short description excerpt. May be `null`. | | `url` | Job URL. | | `site` | The StepStone country site searched. | Any of the text fields above can be `null` when StepStone omits them from the listing card. #### Charging and failures You are charged **per successfully collected job** (`ok: true`). The actor never charges for: - **No matches** — returns a single `ok: false` `NO_RESULTS` diagnostic row, uncharged. - **A fully blocked search** — if StepStone (DataDome) blocks every IP/browser rotation, returns an `ok: false` `BLOCKED` diagnostic row, uncharged. - **A partially blocked search** — if a block hits mid-collection (e.g. on page 2), any rows already gathered are returned with `ok: false` and `partial: true` plus a `BLOCKED` diagnostic row, and **none of them are charged**. Retry — a different residential IP usually completes the search. ### Notes Use a RESIDENTIAL proxy in the target country (the actor defaults to it) — StepStone challenges datacenter IPs. The actor rotates a fresh residential IP **and** User-Agent on each block retry. Salary is only present when the listing publishes it. # Actor input Schema ## `keywords` (type: `string`): What to search for, e.g. "software engineer", "marketing manager", "krankenpflege". ## `location` (type: `string`): City or region to search in, e.g. "Berlin", "München", "Wien". Leave empty for nationwide. ## `site` (type: `string`): Which StepStone country site to search. ## `maxItems` (type: `integer`): How many job listings to collect. The scraper paginates through results to reach this number. ## `notionConnector` (type: `string`): Optional. Write each job as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. ## `notionParentId` (type: `string`): Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. ## `proxyConfiguration` (type: `object`): StepStone uses anti-bot protection — RESIDENTIAL proxy in the target country is strongly recommended. ## Actor input object example ```json { "keywords": "software engineer", "site": "de", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # Actor output Schema ## `results` (type: `string`): Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead. # 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 = { "keywords": "software engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/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 = { "keywords": "software engineer" } # Run the Actor and wait for it to finish run = client.actor("dami_studio/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 '{ "keywords": "software engineer" }' | apify call dami_studio/stepstone-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/stepstone-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "StepStone Jobs Scraper", "description": "Scrape job listings from StepStone (Germany, Austria, UK, Netherlands, Belgium) by keyword and location. Returns title, company, location, salary, posted date, remote flag, snippet and the job URL. Paginated, residential-proxy ready.", "version": "0.1", "x-build-id": "W1qKMo5CAtMCv7YFG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~stepstone-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~stepstone-jobs-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-stepstone-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~stepstone-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-stepstone-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords / job title", "type": "string", "description": "What to search for, e.g. \"software engineer\", \"marketing manager\", \"krankenpflege\"." }, "location": { "title": "Location (optional)", "type": "string", "description": "City or region to search in, e.g. \"Berlin\", \"München\", \"Wien\". Leave empty for nationwide." }, "site": { "title": "StepStone site", "enum": [ "de", "at", "uk", "nl", "be" ], "type": "string", "description": "Which StepStone country site to search.", "default": "de" }, "maxItems": { "title": "Max jobs", "minimum": 1, "maximum": 2000, "type": "integer", "description": "How many job listings to collect. The scraper paginates through results to reach this number.", "default": 100 }, "notionConnector": { "title": "Notion connector (optional)", "type": "string", "description": "Optional. Write each job as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless." }, "notionParentId": { "title": "Notion target data source ID", "type": "string", "description": "Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "StepStone uses anti-bot protection — RESIDENTIAL proxy in the target country is strongly recommended.", "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 } } } } } } } } } } ```