HRS.de Reviews Scraper

HRS.de Reviews Scraper

by lexis-solutions

Automatically collect hotel reviews from HRS.de for competitor and market analysis. Get structured data on ratings and guest feedback without manual work.

495 runs
9 users
Try This Actor

Opens on Apify.com

About HRS.de Reviews Scraper

Need to know what real guests are saying about hotels on HRS.de? This scraper pulls detailed, structured review data so you can skip the manual copy-pasting and get straight to analysis. I've used it to gather ratings, written feedback, and dates for hundreds of listings at once. It's perfect for anyone in the hotel or travel sector who wants to track competitor reputation, identify common guest complaints or praises, and spot market trends. You get clean JSON or CSV output that's ready to feed into your dashboards or spreadsheets. Whether you're a hotel manager benchmarking against rivals, a market researcher analyzing sentiment, or a developer building a travel app, this tool automates the tedious part. It handles the pagination and extraction, letting you focus on turning raw reviews into actionable insights for better business decisions.

What does this actor do?

HRS.de Reviews Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

HRS.de Reviews Scraper

Overview

This actor scrapes hotel review data from HRS.de. It extracts structured review information from a hotel's profile page, useful for market analysis, competitor research, and sentiment analysis in the hospitality sector.

Key Features

  • Extracts detailed review data including author, date, rating, and positive/negative descriptions.
  • Uses pagination to collect all available reviews from a given hotel page.
  • Outputs both individual review records and aggregate metrics (total reviews, average rating).
  • Maintained by Lexis Solutions, a certified Apify Partner.

How to Use

  1. Create a free Apify account.
  2. Open the HRS Reviews Scraper actor.
  3. Provide the hotel profile URL via the input.
  4. Run the actor and retrieve the results from the dataset.

Input

Provide a startUrl for the target HRS hotel profile.

{
  "startUrl": "https://www.hrs.de/hotel/deutschland/berlin/hotel-example/12345678"
}

Output

Results are stored in the actor's default dataset. Each item represents a single review.

Dataset Record (per review):

{
  "author": "Glöckner T.",
  "date": "2024-06-28T00:00:00+00:00",
  "descriptionPositive": "top Lage, sehr angenehm ruhig; schönes Ambiente",
  "descriptionNegative": "sehr anstrengende Treppen vom Parkplatz bis zum Eingang und im Hotel nochmal",
  "stars": 8.4
}

Key-Value Store (aggregate data):

{
  "totalShown": 7,
  "total": 3,
  "rating": 9.1
}

Notes

  • Scraping public data from HRS is generally legal, but you should comply with their Terms of Service.
  • For custom solutions or extensions, contact Lexis Solutions via Email or LinkedIn.

Need other hotel data? Check the Holidaycheck Hotel Scraper.

Categories

LEAD_GENERATION TRAVEL

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try HRS.de Reviews Scraper now on Apify. Free tier available with no credit card required.

Start Free Trial

Actor Information

Developer
lexis-solutions
Pricing
Paid
Total Runs
495
Active Users
9

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