# Xing Jobs Search Scraper (`jobsapi/xing-jobs-search-scraper`) Actor Scrape job listings from Xing, the German-speaking professional network. Extract job titles, companies, locations, seniority levels, and job types for recruitment and market analysis in the DACH region. - **URL**: https://apify.com/jobsapi/xing-jobs-search-scraper.md - **Developed by:** [Jobs API](https://apify.com/jobsapi) (community) - **Categories:** Jobs, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Xing Jobs Search Scraper Extract job listings from Xing - the professional network for German-speaking Europe. Collect job titles, companies, locations, and descriptions from DACH markets. ### Features - **Keyword search** — find jobs by keyword, search term, or role - **Location filtering** — narrow results to specific cities, regions, or countries ### Use Cases - **DACH region professional talent analysis** — collect job postings from Xing's German-speaking network to monitor hiring trends in Germany, Austria, and Switzerland - **German-speaking job market intelligence** — track in-demand skills, salary ranges, and employment types across the DACH labor market - **Cross-border European recruitment research** — compare job opportunities across German-speaking countries and neighboring European markets - **Regional skills demand tracking** — identify which technical and professional skills employers are seeking in Central Europe ### Sample Input ```json { "keywords": "Software Engineer", "location": "Berlin, Germany", "maxJobs": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }, "search": "product", "radius": 100, "startUrls": [ "https://www.xing.com/search/in/jobs?facets%5B%5D=discipline&keywords=product&location=berlin&radius=10§ion=jobs" ], "maxItems": 20, "endPage": 1 } ```` ### Sample Output ```json { "title": "Senior Software Engineer", "company": "BerlinTech GmbH", "location": "Berlin, Germany", "jobUrl": "https://www.xing.com/jobs/12345", "scrapedAt": "2026-06-24T12:00:00.000Z", "source": "xing", "jobId": "xing-12345", "employmentType": "FULL_TIME", "salaryMin": 70000, "salaryMax": 95000, "salaryMedian": 82500, "salaryCurrency": 978, "scrapedType": "job", "datePosted": "2026-06-18", "validThrough": "2026-07-18", "url": "https://www.xing.com/jobs/12345", "industry": "Information Technology", "type": "job", "description": "We are looking for a Senior Software Engineer to join our team in Berlin, Germany. You will work on cutting-edge products used by millions.", "employer": { "name": "BerlinTech GmbH", "url": "https://www.xing.com/companies/berlintech" }, "similarJobs": {} } ``` ### Input | Field | Type | Default | Required | Description | |-------|------|---------|----------|-------------| | `query` | string | `Software Engineer` | | Search query for job listings. | | `keywords` | string | `Software Engineer` | | Job title or keywords (e.g. 'Software Engineer', 'Marketing Manager'). | | `maxItems` | integer | `20` | | Maximum number of jobs to scrape. | | `proxyConfiguration` | object | `{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}` | | Proxy settings. RESIDENTIAL proxy recommended for XING. | | `experienceLevel` | string | — | | Filter by minimum experience level: Entry Level, Mid Level, Senior Level, Executive, Director. | | `salaryMin` | integer | — | | Minimum salary filter (in EUR). Only show jobs paying at least this amount. | | `salaryMax` | integer | — | | Maximum salary filter (in EUR). Only show jobs paying at most this amount. | | `remoteFilter` | string | — | | Filter by work location type: Remote, Hybrid, On-site. | | `educationLevel` | string | — | | Filter by minimum education level: High School, Associate Degree, Bachelor's, Master's, Doctorate. | ### Output | Field | Description | |-------|-------------| | `title` | Title | | `company` | Company | | `location` | Location | | `jobUrl` | Job URL | | `scrapedAt` | Scraped At | | `source` | Source | | `jobId` | Job Id | | `employmentType` | Employment Type | | `salaryMin` | Salary Min | | `salaryMax` | Salary Max | | `salaryMedian` | Salary Median | | `salaryCurrency` | Salary Currency | | `scrapedType` | Scraped Type | | `datePosted` | Date Posted | | `validThrough` | Valid Through | | `url` | URL | | `industry` | Industry | | `type` | Type | | `description` | Description | | `employer` | Employer | | `similarJobs` | Similar Jobs | ### Notes - **Proxy**: Residential proxy is highly recommended — set `proxyConfiguration: { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }` - **Rate limits**: Keep result limits reasonable per run to avoid IP bans - **Scheduling**: Use Apify Scheduler to run this actor on a recurring basis for a consistently fresh dataset # Actor input Schema ## `query` (type: `string`): Search query for job listings ## `keywords` (type: `string`): Job title or keywords (e.g. 'Software Engineer', 'Marketing Manager') ## `proxyConfiguration` (type: `object`): Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking. ## `maxItems` (type: `integer`): Maximum number of jobs to scrape ## `experienceLevel` (type: `string`): Filter by minimum experience level required for the position. ## `salaryMin` (type: `integer`): Minimum salary filter (in local currency). Only show jobs paying at least this amount. ## `salaryMax` (type: `integer`): Maximum salary filter (in local currency). Only show jobs paying at most this amount. ## `remoteFilter` (type: `string`): Filter by work location type. ## `educationLevel` (type: `string`): Filter by minimum education level required. ## Actor input object example ```json { "query": "Software Engineer", "keywords": "Software Engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "maxItems": 20, "experienceLevel": "", "remoteFilter": "", "educationLevel": "" } ``` # Actor output Schema ## `dataset` (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 = { "query": "Software Engineer", "keywords": "Software Engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("jobsapi/xing-jobs-search-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", "keywords": "Software Engineer", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("jobsapi/xing-jobs-search-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", "keywords": "Software Engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call jobsapi/xing-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jobsapi/xing-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Xing Jobs Search Scraper", "description": "Scrape job listings from Xing, the German-speaking professional network. Extract job titles, companies, locations, seniority levels, and job types for recruitment and market analysis in the DACH region.", "version": "0.0", "x-build-id": "qPC9zz2Px5EvbTeza" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jobsapi~xing-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jobsapi-xing-jobs-search-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/jobsapi~xing-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-jobsapi-xing-jobs-search-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/jobsapi~xing-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-jobsapi-xing-jobs-search-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": "Search Query", "type": "string", "description": "Search query for job listings" }, "keywords": { "title": "Job Keywords", "type": "string", "description": "Job title or keywords (e.g. 'Software Engineer', 'Marketing Manager')" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }, "maxItems": { "title": "Maximum Jobs", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of jobs to scrape", "default": 20 }, "experienceLevel": { "title": "Experience Level", "enum": [ "", "entry", "mid", "senior", "executive", "director" ], "type": "string", "description": "Filter by minimum experience level required for the position.", "default": "" }, "salaryMin": { "title": "Minimum Salary", "minimum": 0, "type": "integer", "description": "Minimum salary filter (in local currency). Only show jobs paying at least this amount." }, "salaryMax": { "title": "Maximum Salary", "minimum": 0, "type": "integer", "description": "Maximum salary filter (in local currency). Only show jobs paying at most this amount." }, "remoteFilter": { "title": "Remote / On-site / Hybrid", "enum": [ "", "remote", "hybrid", "onsite" ], "type": "string", "description": "Filter by work location type.", "default": "" }, "educationLevel": { "title": "Education Level", "enum": [ "", "high_school", "associate", "bachelor", "master", "doctorate" ], "type": "string", "description": "Filter by minimum education level required.", "default": "" } } }, "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 } } } } } } } } } } ```