# HRS Hotel & Reviews Scraper — Hotels, Ratings & Guest Reviews (`haketa/hrs-scraper`) Actor

Scrape hotels and guest reviews from HRS.com. For each hotel get name, star rating, address, coordinates, amenities and the guest score, plus detailed reviews with reviewer type, date, comments, the hotel response and per-category ratings. Export European hotel data as JSON, CSV or Excel.

- **URL**: https://apify.com/haketa/hrs-scraper.md
- **Developed by:** [Haketa](https://apify.com/haketa) (community)
- **Categories:** Travel, E-commerce
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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.
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

## HRS Hotel & Reviews Scraper — Hotels, Ratings, Amenities & Guest Reviews

[![Apify Actor](https://img.shields.io/badge/Apify-Actor-orange?style=flat-square\&logo=apify)](https://apify.com/haketa/hrs-scraper)
[![Maintenance](https://img.shields.io/badge/Maintained-Active-brightgreen?style=flat-square)](https://apify.com/haketa/hrs-scraper)
[![Data Formats](https://img.shields.io/badge/Format-JSON%20%7C%20CSV%20%7C%20Excel-blue?style=flat-square)](https://apify.com/haketa/hrs-scraper)
[![Scale](https://img.shields.io/badge/Pagination-1%2C000%2B%20Hotels-success?style=flat-square)](https://apify.com/haketa/hrs-scraper)
[![Speed](https://img.shields.io/badge/Speed-High%20Throughput%20HTTP-brightgreen?style=flat-square)](https://apify.com/haketa/hrs-scraper)

**Extract European hotels and guest reviews from [HRS.com](https://www.hrs.com) as clean, structured data without coding or manual copy-pasting.** This high-performance **HRS scraper** collects hotel profiles across Germany, Austria, Switzerland, France, Italy, Spain, the Netherlands, Poland, and international markets. Get verified star ratings, official address details, GPS coordinates, amenities, accepted payment options, gallery photos, overall guest ratings, and rich **guest reviews** with positive/negative commentary, reviewer travel type, hotel management responses, and **per-category scores** (cleanliness, breakfast, bed quality, reception service, price-performance ratio).

Point the scraper at specific hotel URLs or numeric IDs, or leave the input empty to automatically **scrape HRS** hotels through public sitemap discovery with seamless support for **1,000+ deep pagination** and bulk data export.

Export seamlessly to **JSON, CSV, Excel, or consume programmatically via the Apify REST API**.

***

### ⚡ At a Glance

| Feature | Details |
|---|---|
| **Target Website** | [HRS.com](https://www.hrs.com) (Global & European Hotel Booking Platform) |
| **Data Extracted** | Hotel names, star ratings, full address, GPS geo coordinates, guest ratings, review counts, amenity lists, payment methods, photos, detailed guest reviews with per-category breakdowns |
| **Supported Locales** | English (`en`), German (`de`), Spanish (`es`), French (`fr`), Italian (`it`), Dutch (`nl`), Polish (`pl`) |
| **Discovery Modes** | Direct hotel URLs / IDs or automated XML sitemap discovery across 270,000+ hotel properties |
| **Deep Pagination** | Unlocked for **1,000+ items** (set `maxItems: 0` for unlimited discovery) |
| **Delivery Speed** | 100 hotels in ~15–30 seconds via concurrent HTTP streaming |
| **Proxy Compatibility** | Apify Datacenter Proxies (Residential fallback supported) |
| **Export Formats** | Dataset JSON, CSV, XLSX, XML, or direct REST API / Webhooks |

***

### 🔎 Why Scrape HRS Hotel & Review Data?

[HRS](https://www.hrs.com) (Hotel Reservation Service) is Europe's premier business travel and corporate lodging network, cataloging over 270,000 hotels across key European metropolitan regions and international trade hubs. HRS hotel pages contain high-signal hospitality intelligence: verified **star categories**, guest score aggregates on a 1–10 scale, complete postal addresses, and uniquely detailed **sub-category review ratings**.

Unlike generic review sites where guests only assign an overall score, HRS reviews provide granular feedback across **10 distinct service facets**: room cleanliness, price/performance ratio, breakfast quality, bed comfort, staff friendliness, bathroom quality, room layout, and hotel ambiance.

**Key strategic benefits of automated HRS scraping:**

- **Hospitality Benchmarking:** Compare guest satisfaction scores and individual category ratings between your property and competitors in Munich, Berlin, Paris, Vienna, Zurich, or London.
- **Review Intelligence & NLP:** Conduct sentiment analysis on business traveler feedback versus leisure travelers to detect operational deficiencies and strengths.
- **OTA & Market Research:** Map European corporate hotel supply, star distributions, and amenity offerings across metropolitan areas.
- **Reputation Auditing:** Monitor management response rates and public feedback trends across hotel chains and franchise groups.
- **B2B Lead Generation:** Extract corporate hotel contacts, addresses, and facility portfolios for hospitality service vendors and software suppliers.
- **Machine Learning & Analytics:** Feed clean, normalized hotel profiles and review text directly into travel recommendation algorithms and BI dashboards.

***

### 📊 Comparison Matrix

| Capability | HRS Scraper (This Actor) | Manual Copy-Paste | Generic Scrapers | Official GDS / Corporate APIs |
|---|---|---|---|---|
| **Data Throughput** | 100 hotels in < 30 seconds | 1 hotel in 3–5 minutes | 10–20 hotels / min (slow browsers) | Rate-limited / Contract-gated |
| **Granular Category Scores** | ✅ Full 10 categories | 🟡 Tedious extraction | ❌ Often missing sub-scores | ❌ Usually aggregated only |
| **Management Responses** | ✅ Captured in full | 🟡 Manual transcription | ❌ Inconsistent parsing | ❌ Not exposed |
| **Automated Discovery** | ✅ 270K+ sitemap crawl | ❌ None | ❌ Fragile crawl rules | ❌ Search parameter bounds |
| **Zero Browser Overhead** | ✅ Pure HTTP execution | ❌ N/A | ❌ Heavy Chrome memory load | ✅ Lightweight |
| **Operational Cost** | 🟢 Fractions of a cent | 🔴 High labor cost | 🟡 High server compute cost | 🔴 Thousands in licensing |

***

### ✨ Key Features & Capabilities

- ✅ **Unified Hotel & Review Records:** Each dataset record pairs full property metadata with all embedded guest reviews for frictionless analysis.
- ✅ **Automated Sitemap Discovery:** Leave the URL list empty to discover and extract thousands of European hotels automatically from live sitemaps.
- ✅ **1,000+ Deep Pagination:** Easily scale data pipelines from quick 50-hotel snapshots to massive 1,000+ or 10,000+ property catalogs without artificial cutoffs.
- ✅ **Granular Category Scores:** Capture exact 1–10 ratings for room cleanliness, breakfast service, bed quality, reception courtesy, sanitary facilities, and overall value.
- ✅ **Reviewer Demographics:** Identify whether feedback was submitted by corporate business travelers or leisure guests, along with travel dates and language codes.
- ✅ **Hotel Response Capture:** Scrape official hotel management replies to see how properties engage with customer feedback.
- ✅ **Multi-Language Support:** Extract native hotel descriptions and reviews in 7 languages (English, German, French, Spanish, Italian, Dutch, Polish).
- ✅ **Zero Browser Overhead:** Pure HTTP extraction delivers fast page processing and lower memory consumption compared to heavy headless browsers.
- ✅ **Deduplication Engine:** Built-in URL and ID normalization guarantees 0 duplicate entries across high-volume runs.

***

### 🎯 High-Impact Use Cases

#### 1. Revenue Management & Competitor Benchmarking

Hotel owners and asset managers evaluate local market performance by analyzing nearby competitors' star tiers, average guest scores, and amenity packages. Pinpoint whether neighboring properties outperform your hotel on breakfast satisfaction or price-to-quality perception.

#### 2. Corporate Travel & Supply Procurement

Corporate travel managers and relocation consultants analyze lodging quality near corporate business parks, airports, and exhibition centers to negotiate corporate booking rates.

#### 3. Review Sentiment & Customer Experience Audits

Hospitality consultants mine thousands of negative and positive comments across European hotel chains to identify systemic complaints regarding room maintenance, noise levels, or Wi-Fi reliability.

#### 4. Travel Tech & OTA Aggregation

Emerging travel agencies, hotel booking portals, and metasearch engines populate their catalogs with validated geographic coordinates, amenities, and authentic European guest testimonials.

#### 5. Hotel Franchise Development & Site Selection

Commercial real estate investors evaluating new hospitality developments examine hotel density, prevailing star categories, and guest satisfaction gaps within targeted zip codes.

***

### 📥 Input Configuration

| Parameter | Type | Default | Description |
|---|---|---|---|
| `hotelUrls` | Array | `["https://www.hrs.com/en/hotel/393", ...]` | Direct HRS hotel page URLs or numeric hotel IDs. Leave empty to enable automatic sitemap discovery. |
| `startUrls` | Array | `[]` | Advanced Apify request list sources for custom URL crawls. |
| `includeReviews` | Boolean | `true` | When enabled, parses and attaches embedded guest reviews to each hotel record. |
| `maxReviewsPerHotel` | Integer | `0` | Maximum reviews to save per hotel (`0` = all embedded reviews on the page). |
| `language` | String | `"en"` | HRS site language: `en` (English), `de` (German), `es` (Spanish), `fr` (French), `it` (Italian), `nl` (Dutch), `pl` (Polish). |
| `maxItems` | Integer | `100` | Maximum number of hotels to scrape. Set to `0` for unlimited extraction. |
| `maxConcurrency` | Integer | `10` | Number of simultaneous HTTP requests (1 to 20). |
| `proxyConfiguration` | Object | `{ "useApifyProxy": true }` | Apify proxy configuration (datacenter proxy recommended). |

***

### 📤 Output Data Fields

Every scraped hotel is returned as a structured JSON object. The table below details all fields along with data types and availability rates.

#### 🏨 Hotel Profile & Overview

| Field | Type | Coverage | Description |
|---|---|---|---|
| `hotelId` | String | 🟢 High | Unique numeric HRS hotel identifier (e.g., `"393"`). |
| `name` | String | 🟢 High | Full name of the hotel property. |
| `url` | String | 🟢 High | Canonical HRS hotel page URL. |
| `stars` | Number | 🟢 High | Official HRS star rating (e.g., `4`, `4.5`, `5`). |
| `description` | String | 🟡 Conditional | Editorial summary and property description. |
| `scrapedAt` | String | 🟢 High | ISO 8601 UTC timestamp of the scrape execution. |

#### 📍 Location & Geographic Coordinates

| Field | Type | Coverage | Description |
|---|---|---|---|
| `streetAddress` | String | 🟢 High | Street name and house number. |
| `postalCode` | String | 🟢 High | Local postal / zip code. |
| `addressLocality` | String | 🟢 High | City or municipality name (e.g., `"Köln"`). |
| `addressRegion` | String | 🟡 Conditional | State or province region. |
| `addressCountry` | String | 🟢 High | Country name (e.g., `"Germany"`). |
| `latitude` | Number | 🟢 High | WGS84 geographic latitude coordinate. |
| `longitude` | Number | 🟢 High | WGS84 geographic longitude coordinate. |

#### ⭐ Guest Ratings & Metrics

| Field | Type | Coverage | Description |
|---|---|---|---|
| `rating` | Number | 🟢 High | Aggregated guest satisfaction rating on a 1–10 scale (e.g., `8.4`). |
| `bestRating` | Number | 🟢 High | Top scale boundary (typically `10`). |
| `reviewCount` | Number | 🟢 High | Total verified guest reviews registered on HRS. |
| `reviewsExtracted` | Number | 🟢 High | Count of full guest review objects attached to this record. |

#### 🛎️ Facilities, Amenities & Media

| Field | Type | Coverage | Description |
|---|---|---|---|
| `amenities` | Array | 🟢 High | Normalized list of hotel amenities (e.g., `["WLAN", "Restaurant", "Air conditioning", "Elevator"]`). |
| `paymentAccepted` | String | 🟡 Conditional | Supported payment methods (e.g., `"Mastercard, Visa, American Express"`). |
| `images` | Array | 🟢 High | High-resolution property and room image URLs. |

#### 💬 Detailed Guest Reviews (`reviews[]`)

When `includeReviews: true`, each item in the `reviews` array includes:

| Field | Type | Coverage | Description |
|---|---|---|---|
| `travellerName` | String | 🟢 High | First name or display handle of the reviewer. |
| `travellerType` | String | 🟢 High | Traveler profile: `"BUSINESS"`, `"LEISURE"`, or `"OTHER"`. |
| `date` | String | 🟢 High | Date when the review was submitted (e.g., `"2026-03-12"`). |
| `locale` | String | 🟢 High | Review submission language code (e.g., `"en"`, `"de"`). |
| `ratio` | Number | 🟢 High | Overall review score given by this guest (1–10 scale). |
| `guestPositiveComment` | String | 🟡 Conditional | Positive guest remarks and highlights. |
| `guestNegativeComment` | String | 🟡 Conditional | Constructive criticism or complaints regarding the stay. |
| `hotelResponse` | String | 🟡 Conditional | Official management response statement. |
| `hotelRecommendation` | Boolean | 🟡 Conditional | Whether the guest formally recommends this property. |
| `votes` | Object | 🟢 High | Sub-category scores: `hotelTidiness`, `pricePerformanceRatio`, `breakfastService`, `qualityOfBeds`, `friendlinessOfReception`, `sanitaryFacilities`, etc. |

***

### 💻 Sample Output Record

```json
{
  "hotelId": "393",
  "name": "Excelsior Hotel Ernst",
  "url": "https://www.hrs.com/en/hotel/393",
  "stars": 5,
  "rating": 9.2,
  "bestRating": 10,
  "reviewCount": 384,
  "streetAddress": "Trankgasse 1-5",
  "postalCode": "50667",
  "city": "Cologne",
  "country": "Germany",
  "latitude": 50.9419,
  "longitude": 6.9568,
  "amenities": [
    "WLAN",
    "Air conditioning",
    "Fitness center",
    "Restaurant",
    "Bar",
    "24-hour reception",
    "Concierge service",
    "Valet parking"
  ],
  "paymentAccepted": "Mastercard, Visa, American Express, Diners Club",
  "images": [
    "https://img.hrs.com/image/upload/v1/hotel/393/exterior_1.jpg",
    "https://img.hrs.com/image/upload/v1/hotel/393/lobby_1.jpg"
  ],
  "reviewsExtracted": 11,
  "reviews": [
    {
      "travellerName": "Alexander M.",
      "travellerType": "BUSINESS",
      "date": "2026-02-18",
      "locale": "en",
      "ratio": 9.5,
      "guestPositiveComment": "Outstanding location directly opposite Cologne Cathedral. Impeccable concierge service and quiet executive rooms.",
      "guestNegativeComment": null,
      "hotelResponse": "Thank you for choosing Excelsior Hotel Ernst. We look forward to welcoming you back on your next corporate visit to Cologne.",
      "hotelRecommendation": true,
      "votes": {
        "hotelTidiness": 10,
        "pricePerformanceRatio": 9,
        "hotelAmbiance": 10,
        "friendlinessOfReception": 10,
        "breakfastService": 9,
        "qualityOfBeds": 10,
        "roomConfiguration": 9,
        "roomSize": 9,
        "sanitaryFacilities": 10,
        "serviceOfHotelEmployees": 10
      }
    }
  ],
  "scrapedAt": "2026-11-10T13:45:00.000Z"
}
```

***

### 🛠️ Programmatic Integration & Code Examples

Integrate HRS hotel data into your automated pipelines via Python, Node.js, or cURL.

#### Python Integration

```python
from apify_client import ApifyClient

## Initialize client with your Apify API token
client = ApifyClient("YOUR_APIFY_TOKEN")

## Run the actor with customized inputs
run = client.actor("haketa/hrs-scraper").call(
    run_input={
        "hotelUrls": [
            "https://www.hrs.com/en/hotel/393",
            "https://www.hrs.com/en/hotel/14311"
        ],
        "includeReviews": True,
        "maxReviewsPerHotel": 10,
        "language": "en",
        "maxItems": 100
    }
)

## Fetch dataset results
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
for hotel in dataset_items:
    print(f"Hotel: {hotel.get('name')} | Rating: {hotel.get('rating')} | City: {hotel.get('city')}")
```

#### Node.js Integration

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const run = await client.actor('haketa/hrs-scraper').call({
    hotelUrls: ['https://www.hrs.com/en/hotel/393'],
    includeReviews: true,
    language: 'en',
    maxItems: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Fetched ${items.length} hotels from HRS dataset.`);
```

#### cURL API Request

```bash
curl -X POST "https://api.apify.com/v2/acts/haketa~hrs-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "hotelUrls": ["https://www.hrs.com/en/hotel/393"],
    "includeReviews": true,
    "maxItems": 50
  }'
```

***

### 🚀 Quickstart Guide

1. **Create an Apify account** or log in to your existing workspace.
2. Navigate to the **HRS Hotel & Reviews Scraper** page on the Apify Store.
3. Choose your configuration:
   - Provide a list of hotel URLs / IDs in `hotelUrls`.
   - Or clear `hotelUrls` to trigger **automatic sitemap discovery**.
4. Set your desired **Maximum hotels** (`maxItems`), e.g., `100` for a sample or `1000` for comprehensive data extraction.
5. Click **Start** to run the scraper.
6. Once the run completes, preview the dataset table and export your records in **JSON, CSV, or Excel**.

***

### ⚡ Performance, Scaling & Best Practices

- **Deep 1,000+ Result Runs:** When harvesting an entire country or region, clear `hotelUrls` and set `maxItems: 1000` or higher. The built-in sitemap crawler reads sub-sitemaps automatically without running out of pages.
- **Fast Profile-Only Mode:** If you do not require guest review text and category votes, set `includeReviews: false`. This cuts payload processing time and memory by over 40%.
- **Optimal Concurrency:** The default `maxConcurrency: 10` provides an optimal balance between throughput and connection stability. For large datasets, you can safely set it up to `15` or `20`.
- **Language Consistency:** Always configure `language` according to your reporting requirements. English (`en`) and German (`de`) feature the highest density of detailed traveler reviews.
- **Incremental Schedules:** Configure Apify daily or weekly crons to capture newly published reviews and monitor changes in aggregate star ratings.

***

### ❓ Frequently Asked Questions

**How does automatic sitemap discovery work?**
When no hotel URLs or IDs are supplied in `hotelUrls`, the actor fetches the official HRS XML sitemap index. It inspects sub-sitemaps containing over 270,000 active European and international hotels, de-duplicates URLs, and queues them for extraction up to your configured `maxItems` limit.

**Can I scrape thousands of hotels in a single run?**
Yes. The pagination and discovery loop is unlocked for 1,000+ items. You can set `maxItems` to 1,000, 5,000, or any number.

**How fresh is the extracted hotel data?**
All pages are requested live during execution. Ratings, amenity lists, pricing indicators, and reviews reflect the current state on HRS at run time.

**Are both business and leisure reviews captured?**
Yes. HRS categorizes traveler profiles into `BUSINESS` and `LEISURE`. This distinction is preserved in the `travellerType` field.

**What category scores are extracted from reviews?**
Up to 10 granular rating categories are captured per review: `hotelTidiness`, `pricePerformanceRatio`, `hotelAmbiance`, `friendlinessOfReception`, `breakfastService`, `qualityOfBeds`, `roomConfiguration`, `roomSize`, `sanitaryFacilities`, and `serviceOfHotelEmployees`.

**Can I export the data directly into BigQuery, Snowflake, or Google Sheets?**
Yes. You can download the dataset as CSV/Excel or configure Apify Integrations (Make, Zapier, Google Drive, Airbyte) to stream data directly into your cloud data warehouse.

**Do I need personal HRS account credentials?**
No. This actor extracts publicly accessible hotel directory information without requiring account login or authentication cookies.

**How does this actor compare to browser-based scrapers?**
Because this actor utilizes direct HTTP stream processing rather than heavy headless browser instances, it uses significantly less memory (512 MB is sufficient) and executes up to 10× faster.

**What happens if a hotel page URL is invalid or discontinued?**
The scraper automatically handles 404 and 410 HTTP responses without halting execution, logging a notice and proceeding to the next valid property in the queue.

**Can I target hotels by city or region?**
You can supply hotel URLs filtered by city from your own list, or run automatic discovery and filter the exported dataset by the `city` or `addressLocality` column.

***

### 🔗 Related Travel & Hospitality Scrapers

Expand your travel intelligence pipeline with complementary actors from Haketa:

- [Expedia Hotels Scraper — Prices, Ratings & Reviews](https://apify.com/haketa/expedia-scraper)
- [Booking.com Scraper — Hotel Listings & Reviews](https://apify.com/haketa/booking-scraper)
- [Luma Event Scraper — Events, Hosts & Community Calendars](https://apify.com/haketa/luma-event-scraper)
- [Meetup Scraper — Events, Groups & Member Leads](https://apify.com/haketa/meetup-scraper)
- [Eventbrite Scraper — Venues & Event Intelligence](https://apify.com/haketa/eventbrite-scraper)
- [Furnished Finder Scraper — Monthly Corporate Rentals](https://apify.com/haketa/furnishedfinder-scraper)

***

### 📋 Changelog

- **v1.2 (2026-11)** — Unlocked deep 1,000+ pagination and sitemap discovery scale; optimized prefill execution to complete in under 2 minutes; refined zero-duplicate URL deduplication; updated schema validation standards and output metadata.
- **v1.1 (2026-08)** — Added granular 10-category review vote extraction (`votes` object); enhanced hotel management response detection; normalized multi-language support across 7 European locales.
- **v1.0 (2026-05)** — Initial release featuring automated XML sitemap discovery, JSON-LD schema parsing, embedded guest review extraction, and proxy rotation.

# Changelog

This Actor's version history is a separate document: https://apify.com/haketa/hrs-scraper/changelog.md

# Actor input Schema

## `hotelUrls` (type: `array`):

HRS hotel page URLs (e.g. https://www.hrs.com/en/hotel/393) or plain numeric hotel IDs. Leave empty to discover hotels automatically from the HRS sitemap.

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

Alternative way to pass HRS hotel URLs.

## `includeReviews` (type: `boolean`):

Add the detailed guest reviews embedded on each hotel page (reviewer, date, comments, per-category scores).

## `maxReviewsPerHotel` (type: `integer`):

Cap the number of reviews saved per hotel. Set to 0 or leave empty for all embedded reviews.

## `language` (type: `string`):

HRS site language for hotel pages and review text.

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

Stop after scraping this many hotels (also caps sitemap discovery). Set to 0 for unlimited.

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

How many hotel pages to fetch in parallel.

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

Apify Proxy is recommended (datacenter is enough; residential is used as a fallback).

## Actor input object example

```json
{
  "hotelUrls": [
    "393",
    "https://www.hrs.com/en/hotel/162"
  ],
  "includeReviews": true,
  "maxReviewsPerHotel": 0,
  "language": "en",
  "maxItems": 100,
  "maxConcurrency": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Normalized dataset items with hotel details, amenities and guest reviews

# 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 = {
    "hotelUrls": [
        "https://www.hrs.com/en/hotel/393",
        "https://www.hrs.com/en/hotel/14311"
    ],
    "maxReviewsPerHotel": 0,
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("haketa/hrs-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 = {
    "hotelUrls": [
        "https://www.hrs.com/en/hotel/393",
        "https://www.hrs.com/en/hotel/14311",
    ],
    "maxReviewsPerHotel": 0,
    "maxItems": 100,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("haketa/hrs-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 '{
  "hotelUrls": [
    "https://www.hrs.com/en/hotel/393",
    "https://www.hrs.com/en/hotel/14311"
  ],
  "maxReviewsPerHotel": 0,
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call haketa/hrs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,haketa/hrs-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/gFbqD6Th5n0s6MXX9/builds/ht3okZ67n1Ufdk1sL/openapi.json