Booking.com Hotel Details Scraper (for Germany)

TravelMCP

Scrape name, nationality, review title, advantage, disadvantage etc. from Booking by details page URLs.

Templates are view-only on mobile. Please switch to a desktop to run this template.

📌 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 Output:

{
  "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.

Input and Output

Input

{
  "details_page_URLs": [
    "https://www.booking.com/hotel/de/grimms-am-potsdamer-platz.de.html?aid=2311236&label=de-row-booking-desktop-ygp5roBi33Y2htC7dIGmcgS652829002552%3Apl%3Ata%3Ap1%3Ap2%3Aac%3Aap%3Aneg%3Afi%3Atikwd-334113629%3Alp2158%3Ali%3Adec%3Adm&sid=010aaa979e4b24fac1245a444a401290&all_sr_blocks=139821101_374108186_1_2_0;checkin=2024-04-22;checkout=2024-04-23;dest_id=-1746443;dest_type=city;dist=0;group_adults=1;group_children=0;hapos=1;highlighted_blocks=139821101_374108186_1_2_0;hpos=1;matching_block_id=139821101_374108186_1_2_0;no_rooms=1;req_adults=1;req_children=0;room1=A;sb_price_type=total;sr_order=popularity;sr_pri_blocks=139821101_374108186_1_2_0__16400;srepoch=1713766383;srpvid=560c2bb485df01cd;type=total;ucfs=1&#hotelTmpl"
  ],
  "number_of_pages": "2"
}

Output

[
  {
    "Adresse": "Flottwellstraße 45, Friedrichshain-Kreuzberg, 10785 Berlin, Germany\nExcellent location – rated 9.1/10!(score from 7223 reviews)\nReal guests • Real stays • Real opinions\n–Excellent location – show map–\nSubway/metro & Train Access\n2,650 ft walking from S Anhalter Bahnhof station",
    "Anzahl_der_Bewertungen": "7,358 reviews",
    "Bewertung_abgegeben": "October 8, 2026",
    "Bewertungsgrad": "Excellent ",
    "Bewertungstitel": "Makoto",
    "Details": "2 nights · October 2026",
    "Input_url": "https://www.booking.com/hotel/de/grimms-am-potsdamer-platz.de.html?aid=2311236&label=de-row-booking-desktop-ygp5roBi33Y2htC7dIGmcgS652829002552%3Apl%3Ata%3Ap1%3Ap2%3Aac%3Aap%3Aneg%3Afi%3Atikwd-334113629%3Alp2158%3Ali%3Adec%3Adm&sid=010aaa979e4b24fac1245a444a401290&all_sr_blocks=139821101_374108186_1_2_0;checkin=2024-04-22;checkout=2024-04-23;dest_id=-1746443;dest_type=city;dist=0;group_adults=1;group_children=0;hapos=1;highlighted_blocks=139821101_374108186_1_2_0;hpos=1;matching_block_id=139821101_374108186_1_2_0;no_rooms=1;req_adults=1;req_children=0;room1=A;sb_price_type=total;sr_order=popularity;sr_pri_blocks=139821101_374108186_1_2_0__16400;srepoch=1713766383;srpvid=560c2bb485df01cd;type=total;ucfs=1&chal_t=1791971949160&force_referer=#hotelTmpl",
    "Kundenbewertung": "8.8",
    "Nachteil": "Quite crowded in Sunday morning, both for breakfast and checkout (waited for more than 10 min). No luggage room left, so I had to leave my suitcase in open space. The room key is quite big to bring around. The surrounding roads are car-heavy, and sometimes cars are scarily fast.",
    "Name": "Makoto",
    "Nationalität": " Japan",
    "Person_Typ": "Solo traveler",
    "Persönliche_Kundenbewertung": "Scored 8.0\n8.0",
    "Titel": "",
    "Vorteil": "Great value for money. Spacious room and great breakfast options. The breakfast is a highlight for me. They had a great venue with terrace seats, and buffet had a great variety including falafel, mozzarella-tomato, various kind of omelet, spring roll, chocolate mousse etc.. The location is close to the U-Bahn station, shopping mall etc., and Potsdamer Plaz is quite convenient with a direct train to Berlin Brandenburg Airport. The area is quiet at night and felt safe. The price is convincing.",
    "Zimmer_Typ": "Single Room"
  }
]

🚀 How to Use

Open the template and select Try it or Start.
Complete the input fields listed above.
Choose a local or cloud run.
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.

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.

Input

Use these field names and accepted formats when configuring the template in Console or through the API.

Field	Type	Required	API
Details page URLs (up to 10000)Field key: `details_page_URLs`	string (multiple values)	Yes	Yes
Number of pages (up to 100)Field key: `number_of_pages`	number	No	Yes

Input

{
  "details_page_URLs": [
    "https://www.booking.com/hotel/de/grimms-am-potsdamer-platz.de.html?aid=2311236&label=de-row-booking-desktop-ygp5roBi33Y2htC7dIGmcgS652829002552%3Apl%3Ata%3Ap1%3Ap2%3Aac%3Aap%3Aneg%3Afi%3Atikwd-334113629%3Alp2158%3Ali%3Adec%3Adm&sid=010aaa979e4b24fac1245a444a401290&all_sr_blocks=139821101_374108186_1_2_0;checkin=2024-04-22;checkout=2024-04-23;dest_id=-1746443;dest_type=city;dist=0;group_adults=1;group_children=0;hapos=1;highlighted_blocks=139821101_374108186_1_2_0;hpos=1;matching_block_id=139821101_374108186_1_2_0;no_rooms=1;req_adults=1;req_children=0;room1=A;sb_price_type=total;sr_order=popularity;sr_pri_blocks=139821101_374108186_1_2_0__16400;srepoch=1713766383;srpvid=560c2bb485df01cd;type=total;ucfs=1&#hotelTmpl"
  ],
  "number_of_pages": "2"
}

Output

Review the 16 fields returned by this template before connecting the data to your workflow.

Field	Type	Example
`Adresse`	string	`Flottwellstraße 45, Friedrichshain-Kreuzberg, 10785 Berlin, Germany Excellent location – rated 9.1/10!(score from 7223 reviews) Real guests • Real stays • Real opinions –Excellent location – show map– Subway/metro & Train Access 2,650 ft walking from S Anhalter Bahnhof station`
`Anzahl_der_Bewertungen`	string	`7,358 reviews`
`Bewertung_abgegeben`	string	`October 8, 2026`
`Bewertungsgrad`	string	`Excellent`
`Bewertungstitel`	string	`Makoto`
`Details`	string	`2 nights · October 2026`
`Input_url`	string	https://www.booking.com/hotel/de/grimms-am-potsdamer-platz.de.html?aid=2311236&label=de-row-booking-desktop-ygp5roBi33Y2htC7dIGmcgS652829002552%3Apl%3Ata%3Ap1%3Ap2%3Aac%3Aap%3Aneg%3Afi%3Atikwd-334113629%3Alp2158%3Ali%3Adec%3Adm&sid=010aaa979e4b24fac1245a444a401290&all_sr_blocks=139821101_374108186_1_2_0;checkin=2024-04-22;checkout=2024-04-23;dest_id=-1746443;dest_type=city;dist=0;group_adults=1;group_children=0;hapos=1;highlighted_blocks=139821101_374108186_1_2_0;hpos=1;matching_block_id=139821101_374108186_1_2_0;no_rooms=1;req_adults=1;req_children=0;room1=A;sb_price_type=total;sr_order=popularity;sr_pri_blocks=139821101_374108186_1_2_0__16400;srepoch=1713766383;srpvid=560c2bb485df01cd;type=total;ucfs=1&chal_t=1791971949160&force_referer=#hotelTmpl
`Kundenbewertung`	string	`8.8`
`Nachteil`	string	`Quite crowded in Sunday morning, both for breakfast and checkout (waited for more than 10 min). No luggage room left, so I had to leave my suitcase in open space. The room key is quite big to bring around. The surrounding roads are car-heavy, and sometimes cars are scarily fast.`
`Name`	string	`Makoto`
`Nationalität`	string	`Japan`
`Person_Typ`	string	`Solo traveler`
`Persönliche_Kundenbewertung`	string	`Scored 8.0 8.0`
`Titel`	string	`-`
`Vorteil`	string	`Great value for money. Spacious room and great breakfast options. The breakfast is a highlight for me. They had a great venue with terrace seats, and buffet had a great variety including falafel, mozzarella-tomato, various kind of omelet, spring roll, chocolate mousse etc.. The location is close to the U-Bahn station, shopping mall etc., and Potsdamer Plaz is quite convenient with a direct train to Berlin Brandenburg Airport. The area is quiet at night and felt safe. The price is convincing.`
`Zimmer_Typ`	string	`Single Room`

Output

[
  {
    "Adresse": "Flottwellstraße 45, Friedrichshain-Kreuzberg, 10785 Berlin, Germany\nExcellent location – rated 9.1/10!(score from 7223 reviews)\nReal guests • Real stays • Real opinions\n–Excellent location – show map–\nSubway/metro & Train Access\n2,650 ft walking from S Anhalter Bahnhof station",
    "Anzahl_der_Bewertungen": "7,358 reviews",
    "Bewertung_abgegeben": "October 8, 2026",
    "Bewertungsgrad": "Excellent ",
    "Bewertungstitel": "Makoto",
    "Details": "2 nights · October 2026",
    "Input_url": "https://www.booking.com/hotel/de/grimms-am-potsdamer-platz.de.html?aid=2311236&label=de-row-booking-desktop-ygp5roBi33Y2htC7dIGmcgS652829002552%3Apl%3Ata%3Ap1%3Ap2%3Aac%3Aap%3Aneg%3Afi%3Atikwd-334113629%3Alp2158%3Ali%3Adec%3Adm&sid=010aaa979e4b24fac1245a444a401290&all_sr_blocks=139821101_374108186_1_2_0;checkin=2024-04-22;checkout=2024-04-23;dest_id=-1746443;dest_type=city;dist=0;group_adults=1;group_children=0;hapos=1;highlighted_blocks=139821101_374108186_1_2_0;hpos=1;matching_block_id=139821101_374108186_1_2_0;no_rooms=1;req_adults=1;req_children=0;room1=A;sb_price_type=total;sr_order=popularity;sr_pri_blocks=139821101_374108186_1_2_0__16400;srepoch=1713766383;srpvid=560c2bb485df01cd;type=total;ucfs=1&chal_t=1791971949160&force_referer=#hotelTmpl",
    "Kundenbewertung": "8.8",
    "Nachteil": "Quite crowded in Sunday morning, both for breakfast and checkout (waited for more than 10 min). No luggage room left, so I had to leave my suitcase in open space. The room key is quite big to bring around. The surrounding roads are car-heavy, and sometimes cars are scarily fast.",
    "Name": "Makoto",
    "Nationalität": " Japan",
    "Person_Typ": "Solo traveler",
    "Persönliche_Kundenbewertung": "Scored 8.0\n8.0",
    "Titel": "",
    "Vorteil": "Great value for money. Spacious room and great breakfast options. The breakfast is a highlight for me. They had a great venue with terrace seats, and buffet had a great variety including falafel, mozzarella-tomato, various kind of omelet, spring roll, chocolate mousse etc.. The location is close to the U-Bahn station, shopping mall etc., and Potsdamer Plaz is quite convenient with a direct train to Berlin Brandenburg Airport. The area is quiet at night and felt safe. The price is convincing.",
    "Zimmer_Typ": "Single Room"
  }
]

Run Booking.com Hotel Details Scraper (for Germany) with the API

Prepare the supported input, start one cloud task, then poll and export the result with the returned identifiers.

Prepare parameters

Use the API-enabled field names from the Input tab to build the parameters object.

Start the task

Call executeTask once, then save taskId and lotNo from the accepted response.

Poll and export the result

Call exportData with the same taskId and lotNo until the completed rows are returned.

POST/api/agentTools/executeTask

GET/api/agentTools/exportData

curl -X POST 'https://openapi.octoparse.com/api/agentTools/executeTask' \
  -H 'x-api-key: op_sk_xxxxx' \
  -H "Content-Type: application/json" \
  -d '{"templateName":"booking-hotel-details-scraper-for-germany","taskName":"Booking.com Hotel Details Scraper (for Germany) API run","parameters":"{\"details_page_URLs\":[\"https://www.booking.com/hotel/de/grimms-am-potsdamer-platz.de.html?aid=2311236&label=de-row-booking-desktop-ygp5roBi33Y2htC7dIGmcgS652829002552%3Apl%3Ata%3Ap1%3Ap2%3Aac%3Aap%3Aneg%3Afi%3Atikwd-334113629%3Alp2158%3Ali%3Adec%3Adm&sid=010aaa979e4b24fac1245a444a401290&all_sr_blocks=139821101_374108186_1_2_0;checkin=2024-04-22;checkout=2024-04-23;dest_id=-1746443;dest_type=city;dist=0;group_adults=1;group_children=0;hapos=1;highlighted_blocks=139821101_374108186_1_2_0;hpos=1;matching_block_id=139821101_374108186_1_2_0;no_rooms=1;req_adults=1;req_children=0;room1=A;sb_price_type=total;sr_order=popularity;sr_pri_blocks=139821101_374108186_1_2_0__16400;srepoch=1713766383;srpvid=560c2bb485df01cd;type=total;ucfs=1&#hotelTmpl\"],\"number_of_pages\":\"2\"}"}'

# Reuse taskId and lotNo from the accepted response.
curl -G 'https://openapi.octoparse.com/api/agentTools/exportData' \
  -H 'x-api-key: op_sk_xxxxx' \
  --data-urlencode "taskId=<taskId>" \
  --data-urlencode "lotNo=<lotNo>" \
  --data-urlencode "exportFileType=JSON"