Booking.com Hotel Details Scraper (for Germany)

📌 What can you collect with Booking.com Hotel Details Scraper (for Germany)?

This template collects name, nationality, review title, advantage, disadvantage etc. from Booking by details page URLs.

Data is collected from Booking.com. Booking.com is a travel service where users research destinations, hotels, restaurants, flights, prices, ratings, and availability.

💰 Pricing

This template currently has no per-line charge.

📦 Output

Booking.com Hotel Details Scraper (for Germany) returns these fields:

• Input_url
• Titel
• Adresse
• Kundenbewertung
• Bewertungsgrad
• Anzahl_der_Bewertungen
• Name
• Nationalität
• Bewertung_abgegeben
• Bewertungstitel
• Vorteil
• Nachteil
• Persönliche_Kundenbewertung
• Zimmer_Typ
• Details
• Person_Typ

Example Data Preview:

{
  "Input_url": "https://www.booking.com/hotel/de/park-inn-berlin-alexanderplatz.de.html?aid=304142&label=gen173nr-1DCAEoggI46AdIM1gEaIkCiAEBmAEHuAEXyAEM2AED6AEBiAIBqAIDuALHzL2aBsACAdICJDhmZGFlYjk5LTZiNzEtNGM0Yy05MzFjLWRmNTRlZTBmODExNNgCBOACAQ&sid=5f5663f2632c256f06c3d5a0becc6bd3&all_sr_blocks=6384732_129565388_0_34_0;checkin=2022-10-26;checkout=2022-10-27;dcs_click=1;dest_id=-1746443;dest_type=city;dist=0;group_adults=2;group_children=0;hapos=4;highlighted_blocks=6384732_129565388_0_34_0;hpos=4;matching_bloc...",
  "Titel": "Park Inn by Radisson Berlin Alexanderplatz",
  "Adresse": "Alexanderplatz 7, Mitte, 10178 Berlin, Deutschland",
  "Kundenbewertung": "7,4",
  "Bewertungsgrad": "Gut",
  "Anzahl_der_Bewertungen": "21.454",
  "Name": "Anton",
  "Nationalität": "Österreich",
  "Bewertung_abgegeben": "Oktober 2022",
  "Bewertungstitel": "Sehr gut",
  "Vorteil": "Lage recht gut,aber viele Bauarbeiten / Sperren ringsum",
  "Nachteil": "Massen von Schülern auf Klassenfahrt. Leider einige Lifte nicht in Betrieb",
  "Persönliche_Kundenbewertung": "8,0",
  "Zimmer_Typ": "Kleines Einzelzimmer",
  "Details": "3 Nächte · Oktober 2022",
  "Person_Typ": "Alleinreisende:r"
}

🎯 Use Cases

• Compare travel listings, prices, ratings, reviews, locations, or availability.
• Monitor changes across destinations or repeated collection periods.
• Build structured hotel, restaurant, flight, or destination research datasets.
• Export listing URLs and result fields for reporting or downstream analysis.

🐙 Why Octoparse

• Ready-to-use Booking.com workflow: Enter Details page URLs (up to 10000), Number of pages (up to 100), run Booking.com Hotel Details Scraper (for Germany), and review the structured rows returned for each source record.
• Useful results: The returned Input url, Titel, Adresse, Kundenbewertung, Bewertungsgrad, Anzahl der Bewertungen, Name, Nationalität, Bewertung abgegeben, and Bewertungstitel fields support comparison, monitoring, and reusable data workflows.
• Local or cloud runs: Run this template locally or in the cloud.
• Export and reuse: Export the rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.

You can schedule recurring runs, export the collected data, and reuse it through Octoparse OpenAPI or the AgentTools API. Scheduling and API access may require a paid Octoparse plan.

📝 Input

• Details page URLs (up to 10000) (required): Enter one or more values, one per line.
• Number of pages (up to 100) (optional): Enter a number from 1 to 100.

🚀 How to Use

1. Open the template and select Try it or Start.
2. Complete the input fields listed above.
3. Choose a local or cloud run.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

• Booking.com Hotel Details Scraper (for Germany) collects the fields listed in Output from detail pages; it does not add data that Booking.com does not display.
• Fields such as Zimmer Typ, Details, and Person Typ can be empty when the source record does not provide them.

💡 Tips

• Start with one or a few inputs and review the returned rows before scaling the task.
• Use the most specific valid Details page URLs (up to 10000) to reduce unrelated or duplicate records.
• Use a stable URL or identifier from Input url, Titel, Adresse, Kundenbewertung, Bewertungsgrad, Anzahl der Bewertungen, Name, Nationalität, Bewertung abgegeben, and Bewertungstitel as the deduplication key when available.

❓ FAQ

Does Booking.com Hotel Details Scraper (for Germany) collect reviews or comments?

No. It collects the detail-page fields shown in Output, not a complete review or comment history.

Can I schedule and export data collected by Booking.com Hotel Details Scraper (for Germany)?

Yes. You can schedule Booking.com Hotel Details Scraper (for Germany) to run locally or in the cloud and export the collected data from Octoparse. Keep your computer and Octoparse open for local scheduled runs. Scheduling may require a paid Octoparse plan.

How much does Booking.com Hotel Details Scraper (for Germany) cost?

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

🔗 Related Templates

• Booking Hotel Listing Scraper (for germany) - Use Booking Hotel Listing Scraper (for germany) first, then pass its url values into this template.
• Airbnb Japan Review Details Scraper(Japan) - Use Airbnb Japan Review Details Scraper(Japan) for a comparable travel collection scenario on another source.