# XING Jobs Scraper - DACH Jobs, Salary Estimate, Full Details (`centorprat/xing-jobs-scraper`) Actor

Scrape XING jobs in Germany, Austria and Switzerland by keyword and city: company, location, employment type, XING salary estimate, description, career level, discipline, industry, remote option, apply link, company size. No login.

- **URL**: https://apify.com/centorprat/xing-jobs-scraper.md
- **Developed by:** [Centor Prat](https://apify.com/centorprat) (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

from $0.68 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 - DACH Jobs, Salary Estimate, Full Details

**Scrape job listings from XING, the professional network of Germany, Austria and Switzerland.** Search by keyword and
city (with radius) and get one row per job: title, company, location(s), employment type, **XING's salary estimate**
(min / max / median), refreshed and expiry dates, key responsibilities, top-job flag, plus from each job page: **full
description**, **career level**, **discipline**, **industry**, **remote / hybrid / on-site**, street and postcode,
keywords, posted date, **apply URL** and method, **company size** and company industry, and any contact email in the ad.

What we add: department, seniority class and **tech stack** mentioned in the ad, and a workplace filter (remote /
hybrid / on-site) that XING's public search doesn't offer.

### 📥 Input

| Field | Meaning |
|---|---|
| `keywords` | e.g. `["python", "Pflegefachkraft", "SAP Berater"]` |
| `locations` | e.g. `["Berlin", "München", "Wien", "Zürich"]` |
| `radius`, `maxJobs` | search area and size |
| `workplace` | remote / hybrid / on-site |
| `includeDetails`, `excludeKeywords` | options |

```json
{ "keywords": ["Data Engineer"], "locations": ["München"], "radius": 30, "workplace": ["remote", "hybrid"], "maxJobs": 200 }
```

### 📤 Output (one job, shortened)

```json
{ "title": "Senior Python Developer – Microservices", "company": "BWI GmbH", "location": "Berlin", "workplace": "On-site",
  "employmentType": "Vollzeit", "careerLevel": "Mit Berufserfahrung", "discipline": "IT und Softwareentwicklung",
  "salary": {"min": 76000, "max": 92000, "median": 84000, "currency": "EUR", "period": "year", "source": "xing-estimate"},
  "companySize": "5.001-10.000 Mitarbeitende", "industry": "IT-Dienstleister", "applyUrl": "https://...",
  "techStack": {"languages": ["python"], "cloud & infra": ["kubernetes"]}, "url": "https://www.xing.com/jobs/..." }
```

### 💡 Uses

- **Recruiters / Personalvermittler in DACH**: fresh roles with salary estimates and company size.
- **B2B sales**: who is hiring for what, by discipline, industry and tech stack.
- **Salary research**: XING's salary estimates across roles and cities.

### 💰 Pricing

Pay per job returned (`job` event), full details included. Empty searches are free.

### 🤖 API / agents

```bash
curl -X POST "https://api.apify.com/v2/acts/centorprat~xing-jobs-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
     -H "Content-Type: application/json" -d '{"keywords": ["Projektmanager"], "locations": ["Hamburg"], "maxJobs": 20}'
```

MCP: `https://mcp.apify.com/?tools=actors,docs,centorprat/xing-jobs-scraper`

### ❓ FAQ

- **Login needed?** No. Public job search and job pages; no member profiles.

### 🔗 Related actors

- [StepStone Jobs Scraper](https://apify.com/centorprat/stepstone-jobs-scraper) · [Indeed Jobs Scraper](https://apify.com/centorprat/indeed-jobs-scraper) · [Jobs Scraper - all boards](https://apify.com/centorprat/multi-job-board-scraper)

# Actor input Schema

## `keywords` (type: `array`):

e.g. \["python", "Pflegefachkraft", "SAP Berater"]. Each keyword is searched in each location.

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

Cities, e.g. \["Berlin", "München", "Wien", "Zürich"]. Empty = everywhere.

## `radius` (type: `integer`):

Include jobs within this distance of the location.

## `maxJobs` (type: `integer`):

Up to this many jobs per keyword x location (XING shows up to 1,000).

## `workplace` (type: `array`):

Keep these workplace types (uses each job's details).

## `includeDetails` (type: `boolean`):

Open each job for description, career level, discipline, industry, remote option, address, apply link, company size and contact email.

## `excludeKeywords` (type: `array`):

Drop jobs whose title or company contains any of these.

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

For very large runs: route through Apify Proxy (uses your proxy plan) if XING starts rate-limiting.

## Actor input object example

```json
{
  "keywords": [
    "python"
  ],
  "locations": [
    "Berlin"
  ],
  "maxJobs": 10,
  "includeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

One row per XING job: title, company, location, employment type, salary estimate, description, career level, discipline, industry, workplace, address, apply link, company size, tech stack.

# 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 = {
    "keywords": [
        "python"
    ],
    "locations": [
        "Berlin"
    ],
    "maxJobs": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("centorprat/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["python"],
    "locations": ["Berlin"],
    "maxJobs": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("centorprat/xing-jobs-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 '{
  "keywords": [
    "python"
  ],
  "locations": [
    "Berlin"
  ],
  "maxJobs": 10
}' |
apify call centorprat/xing-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,centorprat/xing-jobs-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/SeuRVuUKeFoKarm1Z/builds/8oou6BvmV3jxOG9XU/openapi.json