# XING Jobs Scraper: Germany, Austria & Switzerland (`ksvan/xing-scraper`) Actor

Scrape job offers from XING (Germany, Austria, Switzerland) by keyword and location: title, company, salary estimate, city, employment type, career level, remote option, apply URL and full description. Fast, no login, low price per job.

- **URL**: https://apify.com/ksvan/xing-scraper.md
- **Developed by:** [K.S. Van](https://apify.com/ksvan) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 jobs

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## XING Jobs Scraper: Germany, Austria & Switzerland

Scrape **job offers from XING**, the largest professional network in the German-speaking market. Search by **keyword and location**, filter by employment type, career level and remote work, and get the **title, company, salary estimate, city, employment type, posting date and apply URL** of every job. Turn on **Full job details** for the complete description, career level, discipline, industry, remote options and company size.

No login, no browser. Pay only per job delivered.

### What you can search

- **Keywords**: `data analyst`, `Pflegefachkraft`, `Python`, `Projektmanager`
- **Locations**: `Berlin`, `München`, `Hamburg`, `Wien`, `Zürich`, optional radius 10–100 km
- **Filters**: employment type, career level, remote work, newest first
- **Search URLs**: paste any `https://www.xing.com/jobs/search?...` URL with filters already set

Each keyword is searched in each location. Jobs that show up in several searches are saved once.

### What you get

| Field | Example |
|---|---|
| `jobId`, `title`, `url` | 158443678, Data Analyst (m/w/d) |
| `company`, `companyUrl`, `companyLogo` | Accon-RVS Accounting und Consulting GmbH |
| `city`, `region`, `country`, `locations` | Berlin, Land Berlin, DE |
| `employmentType` | Full-time |
| `salaryMin`, `salaryMax`, `salaryMedian`, `salaryCurrency`, `salaryType` | 46000, 61000, 50500, EUR, estimate |
| `applyUrl`, `applyOnXing` | the employer's application page |
| `postedAt`, `refreshedAt`, `activeUntil`, `isTopJob` | 2026-10-08 |
| `searchQuery`, `position` | data analyst | Berlin, 1 |

With **Full job details**:

| Field | Example |
|---|---|
| `description`, `descriptionHtml` | full job text, plain and HTML |
| `careerLevel`, `discipline`, `industry` | Professional/Experienced, Analysis and statistics |
| `remoteOptions`, `language`, `keywords` | NON_REMOTE, de |
| `companySize`, `companyIndustry`, `companyCity` | 51-200 employees |

### Use cases

- **Recruiters and HR agencies**: build lead lists of companies hiring for a role in a city, with apply links.
- **Salary research**: compare XING salary estimates by title, city and career level.
- **Job boards and aggregators**: feed fresh German-speaking jobs into your platform every day with **Newest first**.
- **Labour market analysis**: track demand for skills across DACH regions.

### How to use

1. Add search keywords and locations.
2. Optional: set filters, **Max jobs per search** and **Full job details**.
3. Run, then open the **Jobs** view or export to Excel, CSV or JSON.

#### Example input

```json
{
  "searchQueries": ["data analyst", "data scientist"],
  "locations": ["Berlin", "München"],
  "employmentType": "FULL_TIME",
  "sortBy": "date",
  "maxJobsPerSearch": 200,
  "scrapeJobDetails": true
}
```

### Pricing

- **Job**: charged per job saved to the dataset, with or without full details.

No start fee. Invalid inputs are reported as `error` records and are **not charged**.

### Tips and limits

- XING returns up to 1,000 jobs per search (50 pages). For wider coverage, split by location or filter.
- Salary values are XING's estimates unless the employer published a range.
- Only public job offers are collected; no personal profiles.

### FAQ

**Do I need a XING account?** No.

**Is it legal?** The actor reads public job offers that XING shows to every visitor. Use the data in line with XING terms and data protection rules.

**Something missing?** Open an issue on the Issues tab and I will look at it.

# Actor input Schema

## `searchQueries` (type: `array`):

Job titles or skills: 'data analyst', 'Pflegefachkraft', 'Python'. Each keyword is searched in each location.

## `locations` (type: `array`):

Cities or regions: Berlin, München, Wien, Zürich. Empty = everywhere.

## `radius` (type: `string`):

Only used with a location.

## `employmentType` (type: `string`):

Optional filter.

## `careerLevel` (type: `string`):

Optional filter.

## `remoteOption` (type: `string`):

Optional filter.

## `sortBy` (type: `string`):

Order of the results.

## `maxJobsPerSearch` (type: `integer`):

Per keyword and location. XING returns up to 1,000 jobs per search.

## `scrapeJobDetails` (type: `boolean`):

Open each job page for the full description, career level, discipline, industry, remote options and company size. Slower; same price per job.

## `startUrls` (type: `array`):

Optional. Paste search URLs from xing.com/jobs/search with your filters already set.

## `maxItems` (type: `integer`):

0 = no limit. Jobs found in several searches are saved once.

## `maxConcurrency` (type: `integer`):

Used with Full job details.

## `maxRetries` (type: `integer`):

Each retry uses a new proxy IP.

## `proxyConfiguration` (type: `object`):

Datacenter proxy is enough; every request uses a fresh IP.

## Actor input object example

```json
{
  "searchQueries": [
    "data analyst"
  ],
  "locations": [
    "Berlin"
  ],
  "radius": "none",
  "employmentType": "ANY",
  "careerLevel": "ANY",
  "remoteOption": "ANY",
  "sortBy": "relevance",
  "maxJobsPerSearch": 100,
  "scrapeJobDetails": false,
  "maxItems": 0,
  "maxConcurrency": 8,
  "maxRetries": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

One record per job; invalid inputs appear as error records and are not charged.

# 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 = {
    "searchQueries": [
        "data analyst"
    ],
    "locations": [
        "Berlin"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("ksvan/xing-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 = {
    "searchQueries": ["data analyst"],
    "locations": ["Berlin"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("ksvan/xing-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "data analyst"
  ],
  "locations": [
    "Berlin"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call ksvan/xing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ksvan/xing-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ySqeqgKmCuedmlftI/builds/Oix6otVT6pgWZqJ3e/openapi.json