Hotel revenue teams
Comp-set review
Favorable to scraping
Export known competitor hotel pages to compare visible score, review depth, price, room type, distance, and amenity coverage for the same stay dates.
Travel & hotels$50Free
Booking.com Hotel Listing Scraper for CSV Export
This Booking.com hotel listing scraper exports Booking.com accommodation detail pages into a structured CSV for hotel research, price checks, and competitive travel analysis. Import the workflow into the UScraper local desktop app, add the Booking.com hotel URLs you are allowed to process, and collect title, location, price, room type, dates, reviews, amenities, property description, and image URL rows without writing crawler code.
Output
CSV export
Fields
14
Input
Hotel URLs
Waits
45 sec + 2 sec
Template
Free
At a glance
Export Booking.com hotel detail pages to CSV
Use this template when you already have Booking.com hotel or accommodation URLs and need the visible detail-page data in a spreadsheet. The bundled workflow includes sample hotel URLs with check-in, checkout, guest, and room parameters. Keeping those values in the URL helps the Booking.com data extractor preserve the stay context that affects price, room availability, and date-specific fields.
The automation path is intentionally compact: Navigate -> Wait for Page Load -> Sleep -> Wait for Element -> Structured Export -> Loop Continue. UScraper opens one URL, waits up to 45 seconds for the document, pauses two seconds for dynamic pricing and room modules, confirms that an h1 is visible, exports one row from the page body, and moves to the next URL in the Navigate list.
Hotel detail rows for spreadsheets
Export the fields researchers usually need after collecting hotel URLs: title, location, original link, distance, review score, review label, review count, price, room type, dates, amenities, description, and image URL.
Multi-URL collection
Add more approved Booking.com hotel URLs to the Navigate block and let Loop Continue append each detail page into the same CSV file.
Local desktop custody
The stock workflow saves the CSV to your configured local folder. Hotel URLs and exported rows stay on your machine unless you add your own upload or sharing step.
Built for practical page variation
The export uses visible page text, metadata, URL parameters, and common Booking.com modules so blank fields are easier to diagnose when a page hides price, rooms, or amenities.
Who this is for
Booking.com hotel scraper use cases
Travel researchers
Destination analysis
Favorable to scraping
Build a structured dataset from public property pages, then filter by location, review label, price band, available dates, or amenities before deeper manual review.
Agencies and data teams
Enrichment workflow
Nuanced outcome
Start with approved hotel URLs from a listing scraper, then enrich the shortlist with detail-page descriptions, images, and room availability signals.
For adjacent travel workflows, pair this template with the Booking.com Listings Scraper, Booking.com Reviews Scraper, Google Hotels Scraper by URL, and Tripadvisor Hotel Details Scraper. Browse the full UScraper template library when you need search-result, review, map, or contact enrichment after the hotel export.
How to use
Run the Booking.com hotel listing scraper
2
Add hotel detail URLs
Replace the sample Booking.com hotel URLs in Navigate. Keep check-in, checkout, adults, rooms, children, language, and currency parameters when those values matter to price or availability.
3
Confirm waits and export path
Keep the page-load wait, two-second sleep, and visible heading check for a reliable first run. Structured Export writes booking_com_scraper.csv with headers and append mode enabled.
4
Run the URL loop
UScraper navigates through the input list, waits for each hotel page, exports one structured row from the page body, and continues until the URL list is complete.
5
Open and audit the CSV
Spot-check hotel names, source links, prices, review counts, room types, date ranges, and blank amenity cells before using the dataset in reporting or enrichment.
Output preview
CSV fields from the Booking.com data extractor
No sample CSV was bundled with the workflow, so the examples below mirror the actual Structured Export columns and realistic Booking.com hotel values. Booking.com may personalize or hide prices, room availability, amenities, and review modules by date, region, cookies, language, bot checks, or CAPTCHA, so missing public fields can export blank.
| title | location | distance | review_score | review_description | number_of_reviews | price | room_type | available_dates | amenities |
|---|---|---|---|---|---|---|---|---|---|
| Stey Wangfujing | Dongcheng, Beijing | 0.8 km from center | 8.7 | Excellent | 412 | US$96 | Studio Apartment | 2024-04-20 to 2024-04-21 | Free WiFi; Fitness center; Non-smoking rooms |
| Park Plaza Beijing Wangfujing | Dongcheng, Beijing | 1.1 km from center | 8.9 | Wonderful | 1,184 | US$134 | Superior Double Room | 2024-04-20 to 2024-04-21 | Restaurant; Airport shuttle; Room service |
| Holiday Inn Express Beijing Dongzhimen | Chaoyang, Beijing | 3.2 km from center | 8.5 | Very Good | 765 | US$88 | Standard Queen Room | 2024-04-20 to 2024-04-21 | Breakfast; Free WiFi; Family rooms |
booking_com_scraper.csvColumn
title
Hotel or accommodation name from the page heading, Open Graph title, or document title.
Column
location
District and city when available, with address text as a fallback.
Column
link
The current Booking.com detail URL for audit and reruns.
Column
distance
Visible distance from the center or landmark when Booking.com exposes it.
Column
review_score
Numeric score parsed from the review-score component.
Column
review_description
Human label such as Exceptional, Wonderful, Excellent, Very Good, or Good.
Column
number_of_reviews
Review count parsed from guest review text.
Column
details
Visible sustainability signal or page metadata summary.
Column
price
Visible price from the availability area when shown for the selected dates.
Column
room_type
Room name or first visible room table entry.
Column
available_dates
Check-in and checkout dates parsed from the URL.
Column
property_description
Meta description or Open Graph description for the property page.
Column
amenities
Up to 20 unique amenity labels joined with semicolons.
Column
image_url
Open Graph image, Twitter image, or visible Booking.com image URL.
Headers included - every supplied Booking.com hotel URL appends into one file
Frequently asked questions
Booking.com hotel pages may be publicly visible, but automated collection can still be restricted by Booking.com terms, robots directives, copyright, database rights, privacy rules, and local law. Use modest pacing, do not bypass CAPTCHA or access controls, and get legal review before commercial reuse.
Before you run
Limits and maintenance notes
Guardrails for reliable Booking.com exports
Rate limits
Booking.com can throttle or challenge repeated browsing
Keep batches modest, preserve the built-in waits, avoid parallel loops against the same site, and pause if Booking.com returns CAPTCHA, verification, redirects, or unusual response pages.
Layout drift
Hotel detail pages vary by language, dates, and availability
Missing prices, room types, amenities, or review labels usually mean the URL lacks stay context, the page served a different module, or Booking.com changed the layout.
Compliance
Use approved data workflows
Review Booking.com terms, robots directives, data rights, and local law before collecting or republishing exported rows. Use official partner access when your use case requires guaranteed or sanctioned data.
Local desktop app vs cloud Booking.com scrapers
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Booking.com template | No-code teams that need Booking.com hotel data to CSV from a local desktop app | Best for controlled URL batches, not CAPTCHA bypass or high-volume infrastructure |
| Cloud scraping actors | Teams that want hosted runs, scheduling, proxies, and API-style delivery | Hotel URLs and output pass through a third party and may bill per request, page, or row |
| Booking.com APIs | Partners with approved access and contractual data requirements | Requires official onboarding, credentials, implementation work, and API limits |
Download the template, install the local desktop app from UScraper download, and use this workflow whenever you need to export Booking.com hotels into a structured local CSV.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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