# Xing Job Urls Listing (`getdataforme/xing-job-urls-listing`) Actor Xing Job Urls Listing is an Apify Actor that scrapes job postings from specified Xing URLs, capturing details like titles and salaries. It supports customizable URL inputs and flexible item limits, delivering structured JSON output for easy integration into Apify's ecosystem.... - **URL**: https://apify.com/getdataforme/xing-job-urls-listing.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 Job Urls Listing ### Introduction Xing Job Urls Listing is an Apify Actor designed to scrape job listings from specified URLs on the Xing platform. This tool enables users to efficiently gather and analyze data related to job postings, providing valuable insights into market trends and opportunities. ### Features - **Comprehensive Data Extraction**: Captures detailed information about job titles, companies, salaries, and more. - **Customizable URL Input**: Allows users to specify multiple URLs for targeted scraping. - **Flexible Item Limit**: Users can set a maximum number of items to scrape per run or opt for unlimited extraction. - **High-Quality Output**: Ensures reliable and structured data output in JSON format. - **Easy Integration**: Seamlessly integrates with Apify's ecosystem for further processing and analysis. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------| | `Urls` | array | Yes | The URLs for the spider to scrape. | `["https://www.xing.com/jobs/search/ki?nwt_nav=job_search&id=bac32553d344feb2eceecbe8ea4f376d&keywords=data%20engineering"]` | | `item_limit`| integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.xing.com/jobs/search/ki?nwt_nav=job_search&id=bac32553d344feb2eceecbe8ea4f376d&keywords=data%20engineering" ], "item_limit": 10 } ``` #### Output JSON ```json [ { "Job Title": "Data Product & AI Engineer (m/w/d)", "Company Name": "VNR Group", "Job Type": "Full-time", "Salary Range": "60000 - 76500", "Currency": "EUR", "Posted Date": "2026-07-01T14:06:28Z", "Company Logo": "https://www.xing.com/imagecache/public/scaled_original_image/eyJ1dWlkIjoiMjU2OWM4N2YtN2U2Yy00NDQ3LWJjNjYtNzg2MGQ1NWQwNDZmIiwiYXBwX2NvbnRleHQiOiJlbnRpdHktcGFnZXMiLCJtYXhfd2lkdGgiOjk2LCJtYXhfaGVpZ2h0Ijo5Nn0?signature=37b8b76f94c47f3b22be88ac60ea03459f94bea5449700293b320fd15b9b8b14", "Job Detail": { "id": "155918262.404c58", "url": "https://www.xing.com/jobs/bonn-stepstone-bitte-folgende-standorte-hinterlegen-koblenz-koeln-bonn-hamburg-berlin-leipzig-dresden-muenchen-nuernberg-data-product-ai-engineer-155918262", "city": "Bonn", "apply_url": "https://vonq.io/3ST6WmE?utm_source=xing.com" }, "input_source_key": "keywords:data engineering", "actor_id": "sEI0MfHBel0ATGTkM", "run_id": "eeJYicu8KX49jZleg" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into job market trends and demands. - **Competitive Intelligence**: Monitor competitors' hiring strategies and opportunities. - **Price Monitoring**: Track salary ranges for various positions across industries. - **Content Aggregation**: Compile job listings for newsletters or recruitment platforms. - **Academic Research**: Analyze employment data for educational studies. - **Business Automation**: Integrate with HR systems to streamline recruitment processes. ### Installation and Usage 1. Search for "Xing Job Urls Listing" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array containing objects with fields such as `Job Title`, `Company Name`, `Job Type`, `Salary Range`, `Currency`, `Posted Date`, `Company Logo`, and nested `Job Detail` information including `id`, `url`, `city`, and `apply_url`. Each entry also includes metadata like `input_source_key`, `actor_id`, and `run_id`. ### Error Handling The Actor is designed to handle common errors such as invalid URLs or network issues. If an error occurs, it will be logged in the Apify Console for troubleshooting. ### Rate Limiting and Best Practices - **Respect Xing's Terms of Service**: Ensure compliance with their usage policies. - **Use Appropriate Delays**: Implement delays between requests to avoid being blocked. - **Monitor Logs**: Regularly check logs for any rate limiting warnings or errors. ### Limitations and Considerations - The Actor requires valid URLs to function correctly. - Output is limited by the `item_limit` parameter if set. - Ensure compliance with data privacy regulations when handling job listings. # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Urls": [ "https://www.xing.com/jobs/search/ki?nwt_nav=job_search&id=bac32553d344feb2eceecbe8ea4f376d&keywords=data%20engineering" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/xing-job-urls-listing").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/xing-job-urls-listing").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 '{}' | apify call getdataforme/xing-job-urls-listing --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/xing-job-urls-listing", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/sEI0MfHBel0ATGTkM/builds/s2sFBRkldc3kmI3G8/openapi.json