# Xing Jobs Scraper (`kawsar/xing-jobs-scraper`) Actor Xing jobs scraper that searches by keyword and location, pages through results automatically, and saves job titles, companies, salaries, and apply links to a dataset. - **URL**: https://apify.com/kawsar/xing-jobs-scraper.md - **Developed by:** [Kawsar](https://apify.com/kawsar) (community) - **Categories:** Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 87.5% 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 ## Xing Jobs Scraper: Extract Job Listings from Xing by Keyword and Location Xing Jobs Scraper pulls job listings from Xing's search API and saves them to a structured dataset. Set a keyword, add a location if you want, configure a result limit, and the actor pages through results on its own. It works without a Xing account and targets the logged-out search endpoint, so no credentials are needed. Output covers job titles, companies, cities, salary ranges when Xing discloses them, employment types, and direct application URLs. ### Use cases - Track hiring demand for specific roles across Germany, Austria, and Switzerland over time - Collect disclosed salary ranges for compensation benchmarking across job titles and regions - Feed structured Xing job data into ATS tools or custom recruiting dashboards - Monitor which companies are actively hiring in a given sector and location - Build datasets of job postings for labor market research or academic studies ### What data does this actor extract? Each result in the dataset contains: ```json { "jobId": "12345678", "jobTitle": "Senior Software Engineer", "slug": "senior-software-engineer-12345678", "url": "https://www.xing.com/jobs/berlin-senior-software-engineer-12345678", "company": "Acme GmbH", "companyId": "company_123", "city": "Berlin", "cities": ["Berlin"], "employmentType": "Full-time", "salaryMin": 70000, "salaryMax": 90000, "salaryCurrency": "EUR", "applyUrl": "https://jobs.acme.de/apply/12345", "paid": false, "topJob": false, "refreshedAt": "2025-04-01T10:30:00Z", "activeUntil": "2025-06-01T00:00:00Z", "scrapedAt": "2025-05-06T12:00:00.000000+00:00" } ```` | Field | Type | Description | |-------|------|-------------| | `jobId` | string | Xing internal job ID | | `jobTitle` | string | Job position title | | `slug` | string | URL slug of the listing | | `url` | string | Link to the job on Xing | | `company` | string | Hiring company name | | `companyId` | string | Xing company ID | | `city` | string | Primary job city | | `cities` | array | All cities when multiple locations are listed | | `employmentType` | string | Employment type (full-time, part-time, contract, etc.) | | `salaryMin` | number | Minimum salary when the employer discloses it | | `salaryMax` | number | Maximum salary when the employer discloses it | | `salaryCurrency` | string | Currency code for salary figures (e.g. EUR) | | `applyUrl` | string | Direct link to the application page | | `paid` | boolean | Whether the listing is a sponsored placement | | `topJob` | boolean | Whether the listing appears as a featured top job | | `refreshedAt` | string | ISO date the listing was last refreshed | | `activeUntil` | string | ISO date the listing expires | | `scrapedAt` | string | Timestamp when the record was collected | ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `keywords` | string | required | Job title, skill, or keyword (e.g. "Software Engineer", "Data Analyst") | | `location` | string | | City or country filter (e.g. "Berlin", "Germany"). Optional. | | `maxItems` | integer | 100 | Maximum results per run. Capped at 1000. | | `sortBy` | string | Relevance | Sort by Relevance or Date posted. | | `searchMode` | string | SEMANTIC | SEMANTIC uses AI-powered matching; CLASSIC uses straight keyword matching. | | `timeoutSecs` | integer | 300 | Maximum run time in seconds. | | `requestTimeoutSecs` | integer | 30 | Timeout for each individual HTTP request. | | `proxyConfiguration` | object | Datacenter (Anywhere) | Proxy type and location for requests. Supports Datacenter, Residential, Special, and custom proxies. Optional. | #### Example input ```json { "keywords": "Software Engineer", "location": "Berlin", "maxItems": 200, "sortBy": "date", "searchMode": "SEMANTIC", "proxyConfiguration": { "useApifyProxy": true } } ``` ### How it works 1. Visits the Xing jobs page to initialize a session and collect a CSRF token from the response cookies 2. Calls Xing's internal GraphQL API with the keyword and location you provided 3. Pages through results in batches of 20 until it hits your limit or runs out of listings 4. Transforms each raw job record into a flat output and pushes it to the dataset ### FAQ **Does this actor need a Xing account or login?** No. It uses the public logged-out search endpoint and requires no credentials. **How many results can I get per run?** Up to 1000. Xing may return fewer depending on how specific your search is. **Why are some salary fields empty?** Xing only shows salary data when the employer opts to disclose it. A lot of listings have no salary information at all. **What if requests start returning 403 errors?** A 403 usually means the CSRF handshake failed or Xing updated their session flow. Try switching to Residential proxies, which are harder to detect than Datacenter ones. **Can I filter by remote work or employment type?** Not as a direct input filter yet. The keyword search handles natural language well though, so searching "remote Python developer full-time" tends to narrow results meaningfully. **How do I schedule this actor to run regularly?** Use the Apify scheduler to run the actor on a cron schedule. Pair it with a webhook or Google Sheets integration to get fresh data automatically. ### Integrations Connect Xing Jobs Scraper with other apps and services using [Apify integrations](https://apify.com/integrations). Works with Make, Zapier, Google Sheets, Slack, Airbyte, GitHub, and more. Use [webhooks](https://docs.apify.com/integrations/webhooks) to trigger actions as soon as new results are ready. # Actor input Schema ## `keywords` (type: `array`): One or more job titles, skills, or keywords to search for on Xing. Enter one per line (e.g. 'Software Engineer', 'Data Scientist', 'Marketing Manager'). ## `locations` (type: `array`): One or more cities or countries to filter results by (e.g. 'Berlin', 'Germany', 'Munich'). Enter one per line. Leave empty to search all locations. ## `maxItemsPerKeyword` (type: `integer`): Maximum job listings to collect per keyword (and per location if multiple locations are provided). Capped at 1000. ## `sortBy` (type: `string`): Order results by relevance (default) or posting date. ## `searchMode` (type: `string`): SEMANTIC uses Xing's AI-powered matching; CLASSIC uses straight keyword matching. ## `timeoutSecs` (type: `integer`): Maximum run time in seconds before the actor stops. ## `requestTimeoutSecs` (type: `integer`): Timeout for each individual HTTP request to Xing. ## `proxyConfiguration` (type: `object`): Select proxies to use for requests. Helps avoid IP blocking and rate limits. Datacenter proxies are fastest; Residential proxies are harder to detect. ## Actor input object example ```json { "keywords": [ "Software Engineer", "Data Scientist" ], "locations": [ "Berlin", "Munich" ], "maxItemsPerKeyword": 20, "sortBy": "", "searchMode": "SEMANTIC", "timeoutSecs": 300, "requestTimeoutSecs": 300, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("kawsar/xing-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"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("kawsar/xing-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" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call kawsar/xing-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kawsar/xing-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Xing Jobs Scraper", "description": "Xing jobs scraper that searches by keyword and location, pages through results automatically, and saves job titles, companies, salaries, and apply links to a dataset.", "version": "0.0", "x-build-id": "Zk3q3TgIzSq2zZoRg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kawsar~xing-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kawsar-xing-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/kawsar~xing-jobs-scraper/runs": { "post": { "operationId": "runs-sync-kawsar-xing-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/kawsar~xing-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-kawsar-xing-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": "Search keywords", "type": "array", "description": "One or more job titles, skills, or keywords to search for on Xing. Enter one per line (e.g. 'Software Engineer', 'Data Scientist', 'Marketing Manager').", "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "One or more cities or countries to filter results by (e.g. 'Berlin', 'Germany', 'Munich'). Enter one per line. Leave empty to search all locations.", "items": { "type": "string" } }, "maxItemsPerKeyword": { "title": "Max results per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum job listings to collect per keyword (and per location if multiple locations are provided). Capped at 1000.", "default": 20 }, "sortBy": { "title": "Sort by", "enum": [ "", "date" ], "type": "string", "description": "Order results by relevance (default) or posting date.", "default": "" }, "searchMode": { "title": "Search mode", "enum": [ "SEMANTIC", "CLASSIC" ], "type": "string", "description": "SEMANTIC uses Xing's AI-powered matching; CLASSIC uses straight keyword matching.", "default": "SEMANTIC" }, "timeoutSecs": { "title": "Timeout (seconds)", "minimum": 60, "maximum": 3600, "type": "integer", "description": "Maximum run time in seconds before the actor stops.", "default": 300 }, "requestTimeoutSecs": { "title": "Request timeout (seconds)", "minimum": 50, "maximum": 1200, "type": "integer", "description": "Timeout for each individual HTTP request to Xing.", "default": 300 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to use for requests. Helps avoid IP blocking and rate limits. Datacenter proxies are fastest; Residential proxies are harder to detect." } } }, "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 } } } } } } } } } } ```