# Kurzurlaub.de Offers - Hotels, Prices, Ratings & Geo (`xtracto/kurzurlaub-offers-scraper`) Actor

Scrape German short-break offers from kurzurlaub.de: hotel name, full address with latitude and longitude, star rating, price range in euros, amenities, languages and the guest rating — with its 1-6 scale made explicit. HTTP-only, no account.

- **URL**: https://apify.com/xtracto/kurzurlaub-offers-scraper.md
- **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community)
- **Categories:** Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.67 / 1,000 results

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

## Kurzurlaub.de Offers — Hotels, Prices, Ratings & Geo

Scrape German short-break offers from kurzurlaub.de: hotel name, **full address with latitude and
longitude**, star rating, price range in euros, amenities, languages and the guest rating.
HTTP-only, no account, no browser.

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `startUrls` | array | *required* | Listing pages (links are followed) or direct offer URLs |
| `maxOffers` | integer | `60` | Stop after this many offer pages; a listing yields ~30 links |
| `maxRounds` | integer | `2` | TLS ladder repeats on a refused page |
| `maxConcurrency` | integer | `3` | Offer pages in parallel |

### Output

```jsonc
{
  "_input": "https://www.kurzurlaub.de/angebote/116561-….html",
  "_source": "S1-jsonld-hotel",
  "_scrapedAt": "2026-09-09T04:18:29Z",

  "offerTitle": "3 Tage - Rheingau in Love inkl. Candlelight Dinner",
  "hotelName": "Hotel Restaurant Ruppert",
  "starRating": 3,
  "priceRange": "47,00 EUR - 389,00 EUR",
  "priceMinEur": 47.0, "priceMaxEur": 389.0,

  "ratingValue": 4.9,
  "ratingScaleMin": 1, "ratingScaleMax": 6,   // ← note the scale
  "ratingOutOf5": 4.08,
  "ratingCount": 118,

  "street": "Hauptstr. 61", "postalCode": "65396",
  "city": "Walluf", "region": "Rheingau Taunus", "country": "Deutschland",
  "latitude": 50.036584, "longitude": 8.1615935,

  "amenities": ["Barzahlung", "Sauna", …], "amenityCount": 20,
  "languages": ["Deutsch", "Englisch", "Russisch"],
  "image": "…", "offerUrl": "…"
}
```

All 14 fields were populated on 26–27 of 27 offers in testing; the one gap was a hotel with no
reviews yet.

### Two things worth knowing

**Ratings are out of six, not five.** Kurzurlaub grades 1–6. A consumer that assumes the usual
five-point scale reads `4.9` as near-perfect when it is 4.9 **/6**. The scale is emitted
alongside every value as `ratingScaleMin`/`ratingScaleMax`, and `ratingOutOf5` is provided so
ratings can be compared with other sources without anyone doing that division by hand.

**Prices are German-formatted, and parsed as such.** `1.481,00 EUR` is 1481, not 1.481 and not
148100 — the dot is a thousands separator and the comma is the decimal. Getting that backwards
inflates or shrinks a price by orders of magnitude with no error raised, so the raw
`priceRange` string is kept next to the parsed numbers for auditing.

### How it works

Listing pages carry only one rendered offer card but ~30 links to offer **detail** pages, and the
detail page holds a schema.org `Hotel` node with everything above. So the actor mines links from
listings and reads the structured data from the detail pages.

Worth knowing if you build listing URLs by hand: **the site ignores most paths.** `/angebote`,
`/angebote.html` and `/reiseziele/ostsee.html` all return the same "Kurzreisen" landing page at
nearly identical length. Only genuinely distinct sections such as `/wellness.html` differ. The
actor therefore follows whatever links a start page actually yields rather than assuming a path
filtered anything.

### Known limits

| Limit | Detail |
|---|---|
| Aggregate ratings only | The offer pages publish a rating value and count, **not individual reviews** — there is no review text on this surface |
| Price range is the hotel's span | It is the min/max across the hotel's offers, not the price of this specific package |
| No availability or dates | The pages do not expose bookable dates in structured data |

# Actor input Schema

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

Listing pages (https://www.kurzurlaub.de/wellness.html) whose offer links get followed, or direct offer URLs (…/angebote/116561-….html) which are scraped as given.

## `maxOffers` (type: `integer`):

Stop after this many offer pages. A listing page yields about 30 links.

## `maxRounds` (type: `integer`):

How many times to repeat the TLS profile ladder on a refused page.

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

Offer pages fetched in parallel.

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

Optional. A bare IP answered in testing; a German exit is closest to a normal visitor.

## Actor input object example

```json
{
  "startUrls": [
    "https://www.kurzurlaub.de/angebote.html"
  ],
  "maxOffers": 60,
  "maxRounds": 2,
  "maxConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `offers` (type: `string`):

Dataset items shown in the 'Offers' view.

## `items` (type: `string`):

Every record this run produced, with all fields, as 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 = {
    "startUrls": [
        "https://www.kurzurlaub.de/wellness.html"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("xtracto/kurzurlaub-offers-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 = { "startUrls": ["https://www.kurzurlaub.de/wellness.html"] }

# Run the Actor and wait for it to finish
run = client.actor("xtracto/kurzurlaub-offers-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 '{
  "startUrls": [
    "https://www.kurzurlaub.de/wellness.html"
  ]
}' |
apify call xtracto/kurzurlaub-offers-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,xtracto/kurzurlaub-offers-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/tDDv5evMrXvk8nb4K/builds/MpJmMa8Ei7W9YKxLe/openapi.json