# 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, Automation, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 job details

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 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&section=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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/kT6n9Ip5yvT916n20/builds/qPC9zz2Px5EvbTeza/openapi.json