# Jobware Jobs Scraper - Preiswert Low-cost ๐Ÿ’ฒ๐Ÿ’ผ๐Ÿ”ฅ (`delectable_incubator/jobware-jobs-scraper---preiswert-low-cost`) Actor Scrape Jobware.de job listings in bulk with this powerful scraper ๐Ÿ”. Extract job titles, company names, locations, employment types, posted dates, and job URLs. Ideal for recruitment, HR analytics, and job market research. Build scalable, structured datasets fast ๐Ÿ“Š๐Ÿš€ - **URL**: https://apify.com/delectable\_incubator/jobware-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

--- ### Jobware Jobs Scraper ๐Ÿ’ผ | Fast & Scalable Job Data Extraction ๐Ÿš€ Extract job listings from Jobware.de, one of Germanyโ€™s leading professional job boards, with this powerful and reliable Apify Actor. Designed for recruiters, analysts, developers, and data teams, this scraper lets you collect structured job data at scale using simple search parameters like keyword, location, and radius. Perfect for job market analysis, HR intelligence, lead generation, and automation workflows ๐Ÿ“Šโšก --- ### ๐Ÿ” What You Can Extract Get clean, structured data for every job listing: ๐Ÿ“› Job Title ๐Ÿข Company Name ๐Ÿ†” Job ID ๐Ÿ“ Location ๐Ÿง‘โ€๐Ÿ’ผ Employment Type(s) ๐Ÿ“… Posted Date ๐Ÿ“ Job Description ๐Ÿ–ผ๏ธ Company Logo (if available) ๐ŸŒ Job URL โšก Key Features ๐ŸŽฏ Target Jobware.de job listings ๐Ÿ”Ž Search by keyword, location, and radius ๐Ÿ”„ Handles dynamic loading (โ€œWeitere Jobs ladenโ€) ๐Ÿ“ฆ Export to JSON, CSV, Excel โšก Fast, lightweight, and scalable ๐Ÿงฉ Ready for automation (Apify SDK / API) --- ### ๐Ÿ› ๏ธ How It Works Enter your search parameters (keyword, location, radius) Set the maximum number of jobs Run the scraper Download structured results instantly --- ### โš™๏ธ Input Example ```` { "keyword": "Softwareentwickler", "location": "Berlin", "radius": 25, "max\_items": 50 } ``` Input Parameters | Field | Type | Description | | --------- | ------ | -------------------------------- | | keyword | string | Job search keyword (required) | | location | string | City in Germany (optional) | | radius | number | Search radius in km | | max_items | number | Max number of results to extract | --- ### ๐Ÿ“ค Output Example ``` \[ { "jobId": "JW-102938", "jobTitle": "Software Entwickler (m/w/d)", "companyName": "Tech Solutions GmbH", "employmentTypes": \["Full-time"], "location": "Berlin", "postedDate": "2024-10-12", "jobDescription": "We are looking for a motivated software developer...", "jobUrl": "https://www.jobware.de/jobs/software-entwickler" } ] ```` --- ### ๐Ÿ’ก Use Cases ๐Ÿ“Š Job Market Analysis ๐Ÿง‘โ€๐Ÿ’ผ Recruitment & Talent Intelligence ๐Ÿข Company Hiring Monitoring ๐Ÿ” Lead Generation ๐Ÿง  Data Enrichment & Dashboards --- ### โš ๏ธ Disclaimer This actor is an independent tool and is not affiliated, associated, authorized, endorsed by, or officially connected with Jobware.de. --- ### โญ Why Choose This Actor? Unlike generic scrapers, this solution is: ๐ŸŽฏ Focused on German job market data โšก Optimized for speed & reliability ๐Ÿงฉ Built for real-world automation workflows ๐Ÿ’ผ Designed for HR, analysts, and data teams --- ### ๐Ÿ’ธ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. ๐Ÿ’ณ **Price:** $3.69 / 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 ๐Ÿ‡ฉ๐Ÿ‡ช๐Ÿ‡ช๐Ÿ‡บ (Coming soon) --- ### ๐Ÿ“ฌ Support โญ Leave a 5-star rating if you like this tool --- ### ๐ŸŒ 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`): The keyword to search for jobs on Jobware (e.g., 'IT', 'Entwickler', 'Marketing'). / Stichwort fรผr die Jobsuche auf Jobware (z. B. 'IT', 'Entwickler', 'Marketing'). ## `location` (type: `string`): Job location in Germany โ€“ leave empty for all locations (e.g., 'Deutschland', 'Berlin', 'Mรผnchen', 'Hamburg'). / Arbeitsort in Deutschland โ€“ leer lassen fรผr alle Standorte (z. B. 'Deutschland', 'Berlin', 'Mรผnchen', 'Hamburg'). ## `radius` (type: `integer`): Search radius in kilometers around the specified location (e.g., 5, 10, 15, 25, 35, 50, 75, 100). / Suchradius in Kilometern um den angegebenen Standort (z. B. 5, 10, 15, 25, 35, 50, 75, 100). ## `max_items` (type: `integer`): Limits how many job listings will be scraped from Jobware.de. The scraper will click 'Weitere Jobs laden' until this limit is reached or no more jobs are available. / Begrenzt die Anzahl der zu scrapenden Jobangebote. Der Scraper klickt auf 'Weitere Jobs laden', bis das Limit erreicht ist oder keine weiteren Jobs verfรผgbar sind. ## Actor input object example ```json { "keyword": "Marketing", "location": "Deutschland", "radius": 25, "max_items": 60 } ```` # Actor output Schema ## `overview` (type: `string`): No description ## `detailed_jobs` (type: `string`): No description ## `by_company` (type: `string`): No description ## `by_location` (type: `string`): No description ## `by_employment_type` (type: `string`): No description ## `recent_posts` (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": "Marketing", "location": "Deutschland", "radius": 25, "max_items": 60 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/jobware-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(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": "Marketing", "location": "Deutschland", "radius": 25, "max_items": 60, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/jobware-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("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keyword": "Marketing", "location": "Deutschland", "radius": 25, "max_items": 60 }' | apify call delectable_incubator/jobware-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/jobware-jobs-scraper---preiswert-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jobware Jobs Scraper - Preiswert Low-cost ๐Ÿ’ฒ๐Ÿ’ผ๐Ÿ”ฅ", "description": "Scrape Jobware.de job listings in bulk with this powerful scraper ๐Ÿ”.\n\nExtract job titles, company names, locations, employment types, posted dates, and job URLs. \n\nIdeal for recruitment, HR analytics, and job market research. Build scalable, structured datasets fast ๐Ÿ“Š๐Ÿš€", "version": "0.0", "x-build-id": "3LicPtWiJbOnFXSry" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~jobware-jobs-scraper---preiswert-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-jobware-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~jobware-jobs-scraper---preiswert-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-jobware-jobs-scraper---preiswert-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~jobware-jobs-scraper---preiswert-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-jobware-jobs-scraper---preiswert-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "max_items" ], "properties": { "keyword": { "title": "Job Keyword ๐Ÿ” / Job-Stichwort ๐Ÿ”", "type": "string", "description": "The keyword to search for jobs on Jobware (e.g., 'IT', 'Entwickler', 'Marketing'). / Stichwort fรผr die Jobsuche auf Jobware (z. B. 'IT', 'Entwickler', 'Marketing').", "default": "Marketing" }, "location": { "title": "Location ๐Ÿ“ / Ort ๐Ÿ“", "type": "string", "description": "Job location in Germany โ€“ leave empty for all locations (e.g., 'Deutschland', 'Berlin', 'Mรผnchen', 'Hamburg'). / Arbeitsort in Deutschland โ€“ leer lassen fรผr alle Standorte (z. B. 'Deutschland', 'Berlin', 'Mรผnchen', 'Hamburg').", "default": "Deutschland" }, "radius": { "title": "Search Radius ๐ŸŽฏ / Suchradius ๐ŸŽฏ", "type": "integer", "description": "Search radius in kilometers around the specified location (e.g., 5, 10, 15, 25, 35, 50, 75, 100). / Suchradius in Kilometern um den angegebenen Standort (z. B. 5, 10, 15, 25, 35, 50, 75, 100).", "default": 25 }, "max_items": { "title": "Maximum jobs ๐Ÿ”ข / Maximale Anzahl an Jobs ๐Ÿ”ข", "type": "integer", "description": "Limits how many job listings will be scraped from Jobware.de. The scraper will click 'Weitere Jobs laden' until this limit is reached or no more jobs are available. / Begrenzt die Anzahl der zu scrapenden Jobangebote. Der Scraper klickt auf 'Weitere Jobs laden', bis das Limit erreicht ist oder keine weiteren Jobs verfรผgbar sind.", "default": 60 } } }, "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 } } } } } } } } } } ```