# Xing Jobs Scraper (`outstanding_vegetable/xing-jobs-scraper`) Actor

XING Jobs Scraper — DACH job listings with salary & company: extract query. For lead generation, data enrichment, and research.

- **URL**: https://apify.com/outstanding\_vegetable/xing-jobs-scraper.md
- **Developed by:** [Peter Skotte](https://apify.com/outstanding_vegetable) (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 $0.90 / 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/actors/running/actors-in-store.md#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 Scraper

Scrape job listings from **XING Jobs**, the leading professional network and job board of Germany, Austria and Switzerland. Search by keyword and location; get structured records with company, salary and full description. No login, no API key, no browser.

### Input

| Field | Default | Notes |
|---|---|---|
| `keywords` | `python` | Title, skill or company |
| `location` | `""` | e.g. `Berlin`, `München`, `Wien`, `Zürich` |
| `sortBy` | `date` | or `relevance` |
| `includeDetails` | `true` | Fetch each job page for description, career level, industry, remote options |
| `maxItems` | `10` | Maximum jobs |

### Output

```json
{
  "jobId": "157031656",
  "title": "Python Entwickler (m/w/d)",
  "url": "https://www.xing.com/jobs/pforzheim-python-entwickler-157031656",
  "company": "Optimus Search",
  "companyLogo": "https://www.xing.com/imagecache/...",
  "city": "Pforzheim",
  "employmentType": "Vollzeit",
  "salaryMin": 50000,
  "salaryMax": 70000,
  "salaryCurrency": "EUR",
  "salaryIsEstimate": false,
  "careerLevel": "Mit Berufserfahrung",
  "industry": "Internet, IT",
  "discipline": "IT und Softwareentwicklung",
  "remoteOptions": ["PARTLY_REMOTE"],
  "language": "de",
  "keywords": ["django", "python", "docker"],
  "postedAt": "2026-08-06T08:10:36Z",
  "activeUntil": "2027-08-08T16:57:06Z",
  "description": "About us\n...\n\nTasks\n...",
  "descriptionSections": [{ "title": "Tasks", "text": "..." }]
}
```

### Use cases

DACH job aggregation, recruiting and sourcing, salary benchmarking (XING publishes ranges and estimates), hiring-signal research on German-speaking companies.

### Pricing

Pay per event: a small start fee plus a per-job fee. 1,000 jobs cost under $1.

# Actor input Schema

## `keywords` (type: `string`):

Search keywords (job title, skill, company), German or English.

## `location` (type: `string`):

Optional city or region, e.g. 'Berlin', 'München', 'Wien', 'Zürich'.

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

Sort order.

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

Fetch each job page for the full description, career level, industry, discipline, remote options and keywords. One extra request per job.

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

Maximum jobs to return.

## Actor input object example

```json
{
  "keywords": "python",
  "location": "",
  "sortBy": "date",
  "includeDetails": true,
  "maxItems": 10
}
```

# Actor output Schema

## `records` (type: `string`):

Dataset of job records (JSON).

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("outstanding_vegetable/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("outstanding_vegetable/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 '{}' |
apify call outstanding_vegetable/xing-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,outstanding_vegetable/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/C9VDYg0MJhYtiZAv7/builds/sdnNMR0I8h4uvwtMP/openapi.json