# Xing Jobs Scraper — Germany & DACH Jobs, Salaries & Links (`hipersoft/xing-jobs-scraper`) Actor

Scrape Xing job listings by keyword and location: title, company, location, employment type, salary estimates, posting date, apply link and full description. Filter by type, remote and date. For Germany, Austria and Switzerland.

- **URL**: https://apify.com/hipersoft/xing-jobs-scraper.md
- **Developed by:** [Hipersoft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00075 / job scraped

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 — Germany & DACH Jobs, Salaries & Links

**Xing Jobs Scraper** extracts job listings from Xing, the leading professional network in Germany, Austria and Switzerland: **title, company, location, employment type, salary range, posting date, apply link and full description**. Search by keyword and location, filter by employment type, remote work and date, and export to JSON, CSV or Excel.

![Xing Jobs Scraper input — job search, location and filters](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/xing-jobs-scraper-input.png?v=1)

### What does Xing Jobs Scraper do?

It runs your Xing job search and returns one clean row per job, with the salary range on most listings and a direct apply link on many. Turn on job details for the full description, industry and region. A test search for `sales` returned 712 jobs in under a minute.

### What data can you scrape from Xing?

| Data | Fields |
| --- | --- |
| Job | `jobId`, `title`, `employmentType`, `postedAt`, `activeUntil`, `url` |
| Company | `company`, `companyLogo`, `companyUrl`, `industry` |
| Location | `location`, `locations`, `region`, `postalCode`, `country` |
| Salary | `salaryMin`, `salaryMax`, `salaryMedian`, `salaryCurrency`, `isSalaryEstimate` |
| Applying | `applyUrl`, `isExternalApply` |
| Text | `description` |

### Use cases

- **Recruiting and sourcing:** see which DACH companies are hiring for a role.
- **Salary benchmarking:** compare ranges by role and city.
- **Job boards and alerts:** feed in fresh German-market listings on a schedule.
- **Sales leads:** find companies hiring for roles you serve.
- **Market research:** track hiring demand across Germany, Austria and Switzerland.

### How to scrape Xing jobs

1. Open Xing Jobs Scraper.
2. Add your **job searches** and a **location**.
3. Pick any filters.
4. Click **Start**.
5. Export to JSON, CSV, Excel or XML.

### Input

```json
{
  "keywords": ["python", "data engineer"],
  "location": "Berlin",
  "employmentTypes": ["FULL_TIME.ef2fe9"],
  "remoteOptions": ["PARTLY_REMOTE.ca71ca"],
  "postedWithinDays": 14,
  "includeDescription": true,
  "maxResultsPerSearch": 100
}
```

| Field | Description |
| --- | --- |
| `keywords` | What to search for. |
| `location` | City or region. |
| `radiusKm` | Search around the location. |
| `employmentTypes` | Full-time, part-time, self-employed, intern, temporary, seasonal, voluntary. Pick from the list in the Console. |
| `remoteOptions` | Fully remote, partly remote or on site. |
| `postedWithinDays` | Only jobs posted or refreshed in the last N days. |
| `includeDescription` | Add full job details (default on). Turn off for faster lists. |
| `maxResultsPerSearch` | Jobs per search (default 100). |
| `maxConcurrency` | Job pages fetched at once (default 5). |

### Output

A real row, with long values shortened.

![Xing Jobs Scraper output example — jobs with company, location and salary](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/xing-jobs-scraper-output.png?v=1)

```json
{
  "jobId": "156675213",
  "title": "Python Developer Financial Services (all genders)",
  "company": "Exxeta",
  "companyLogo": "https://www.xing.com/imagecache/public/scaled_original_image…",
  "location": "Berlin",
  "locations": [
    "Berlin"
  ],
  "employmentType": "Full-time",
  "salaryMin": 59000,
  "salaryMax": 86000,
  "salaryMedian": 76000,
  "salaryCurrency": "EUR",
  "isSalaryEstimate": true,
  "postedAt": "2026-09-17T05:36:36Z",
  "activeUntil": "2027-01-22T21:35:50Z",
  "url": "https://www.xing.com/jobs/berlin-python-developer-financial-services-all-genders-156675213",
  "applyUrl": "https://career.exxeta.com/Python-Developer-Financial-Services-all-genders-de-j1018.html",
  "isExternalApply": false,
  "description": "Standorte: Karlsruhe, Berlin, Braunschweig, Essen, Frankfurt am Main, Hamburg, Leipzig, Ma…",
  "industry": "Consulting",
  "companyUrl": "https://www.xing.com/pages/exxetaag",
  "postalCode": null,
  "region": "Land Berlin",
  "country": "DE",
  "employmentTypeCode": "FULL_TIME",
  "searchKeyword": "python",
  "searchLocation": "Berlin",
  "collectedAt": "2026-11-04T16:37:08.339Z"
}
```

#### Output schema

| Field | Type | Description |
| --- | --- | --- |
| `jobId` | string | Xing job ID. |
| `title` | string | Job title. |
| `company` / `companyLogo` / `companyUrl` | string | The employer. |
| `location` / `locations` | string / array | Main city and all cities. |
| `region` / `postalCode` / `country` | string | With job details on. |
| `employmentType` | string | Full-time and so on. |
| `salaryMin` / `salaryMax` / `salaryMedian` | integer | Salary range as listed. Yearly on most estimates; a low range may be monthly, so check the listing. |
| `salaryCurrency` | string | Usually EUR. |
| `isSalaryEstimate` | boolean | True when the range is Xing's estimate rather than the employer's figure. |
| `postedAt` | string (ISO date) | When it was posted or refreshed. |
| `activeUntil` | string (ISO date) | When the listing ends. |
| `url` | string (URL) | The job on Xing. |
| `applyUrl` | string (URL) | Direct apply link, when the listing has one. |
| `isExternalApply` | boolean | Whether the listing redirects to another site. |
| `description` | string | Full text, with job details on. |
| `industry` | string | With job details on. |
| `searchKeyword` / `searchLocation` | string | The search that found it. |
| `collectedAt` | string (ISO date) | When the row was collected. |

### Need more job data?

- [StepStone Scraper](https://apify.com/hipersoft/stepstone-scraper): another major German job board.
- [Google Jobs Scraper](https://apify.com/hipersoft/google-jobs-scraper): jobs from many boards at once.
- [ATS Jobs Scraper](https://apify.com/hipersoft/ats-jobs-scraper): company career sites.

### FAQ

**How much does it cost?**
You pay per job delivered, shown on the **Pricing** tab. Set a maximum cost per run and it stops cleanly at that limit, storing only what you paid for.

**How many jobs can I get?**
Up to about 1,000 per search, which is as far as Xing's results go. Split bigger searches by city or keyword.

**Are the salaries real?**
Many are Xing's estimates, marked by `isSalaryEstimate`. Others come from the listing. Treat estimates as a guide.

**Which countries does it cover?**
Whatever Xing lists, mainly Germany, Austria and Switzerland.

**Does it collect people's profiles?**
No. Only job listings and company details.

**Can I connect this to other tools?**
Yes, through [integrations on the Apify platform](https://apify.com/integrations): [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2) and [webhooks](https://docs.apify.com/platform/integrations/webhooks).

**Is it legal to scrape Xing?**
It returns publicly listed job information. You are responsible for how you use it, including Xing's terms and privacy law.

### Feedback

How did it go? Good or bad, a [review](https://console.apify.com/actors/tU6RRTfsBRUTSb6Eh/reviews) helps other users decide and tells us what to improve. Something broken or missing? Open an [issue](https://apify.com/hipersoft/xing-jobs-scraper/issues) and we'll look at it.

### Related Actors

- [StepStone Scraper](https://apify.com/hipersoft/stepstone-scraper)
- [Google Jobs Scraper](https://apify.com/hipersoft/google-jobs-scraper)
- [ATS Jobs Scraper](https://apify.com/hipersoft/ats-jobs-scraper)

### Notes

Independent tool, not affiliated with Xing or New Work SE. Returns only public data; you are responsible for how you use it.

# Actor input Schema

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

What to search for, one per line.

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

City or region. Example: Berlin, Munich, Vienna, Zürich.

## `radiusKm` (type: `integer`):

Search around the location. Empty uses Xing's default.

## `employmentTypes` (type: `array`):

Empty keeps all.

## `remoteOptions` (type: `array`):

Empty keeps all.

## `postedWithinDays` (type: `integer`):

Only jobs posted or refreshed in the last N days.

## `includeDescription` (type: `boolean`):

Add the description, industry and region. Slower; turn off for quick lists.

## `maxResultsPerSearch` (type: `integer`):

How many jobs to collect per search.

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

Job pages fetched at once.

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

Optional.

## Actor input object example

```json
{
  "keywords": [
    "python"
  ],
  "location": "Berlin",
  "includeDescription": true,
  "maxResultsPerSearch": 100,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `overview` (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 = {
    "keywords": [
        "python"
    ],
    "location": "Berlin"
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/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"],
    "location": "Berlin",
}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/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"
  ],
  "location": "Berlin"
}' |
apify call hipersoft/xing-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/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/tU6RRTfsBRUTSb6Eh/builds/PyZVkBUyaKyBzQyx0/openapi.json