Hotel revenue teams
Compset scans
Favorable to scraping
Export nearby accommodation listings, review counts, and scores to compare visible competitors before deeper price or availability checks.
Travel & hotels$50Free
Booking.com Listings Scraper for CSV Export
This Booking.com listings scraper exports accommodation search-result cards into a structured CSV for hotel research, destination analysis, and competitor tracking. Import the workflow into the UScraper local desktop app, edit the search URLs, and collect hotel name, hotel URL, address, rating label, review count, and review score rows without building a scraper from scratch.
Output
CSV
Fields
7
Pagination
10 offsets
Waits
45 sec
Template
Free
At a glance
Export Booking.com hotel listings to CSV
Booking.com search pages are useful for market scans because each card usually contains the hotel name, destination link, visible location text, score, review count, and a rating label such as Excellent or Very Good. This template captures those listing-card fields and keeps one row per visible property card, so analysts can filter, deduplicate, and enrich the data in a spreadsheet.
The automation uses a predictable offset loop rather than clicking the next-page button or opening date overlays. UScraper navigates to each configured URL, waits for page load, waits for property-card elements, exports matching cards, sleeps briefly, and continues to the next offset. That approach keeps the workflow understandable and easier to maintain when the page includes popups or mixed modules.
Spreadsheet-ready listing data
Export the fields most travel researchers need first: keyword, hotel name, hotel URL, address or location text, rating label, review count, and review score.
Offset pagination is already wired
The sample workflow includes 10 Booking.com search-result URLs using offset=0,25,50 and onward, then appends every page into one file.
Local desktop execution
The CSV is written to your configured local folder unless you add your own cloud, sync, or upload step.
Designed for repeatable research
Keep the same search URL pattern, destination, guest settings, and sort order when you need comparable weekly or monthly snapshots.
Who this is for
Booking.com data extractor use cases
Travel researchers
Destination mapping
Favorable to scraping
Collect public listing URLs and location text for a region, then group properties by city, neighborhood, or score band.
Agencies and data teams
Lead lists
Nuanced outcome
Build an auditable first-pass hotel list, then pass selected URLs into detail-page, review, or enrichment workflows.
For a wider travel dataset, pair this page with the Booking.com Reviews Scraper, Booking.com Listing Scraper for Spain, and Google Hotel Scraper. You can also browse the UScraper template library or install the desktop app from UScraper download.
How to use
Configure the Booking.com scraper workflow
2
Replace the search URLs
Open Booking.com with your destination, guests, filters, and sort order. Copy the search-result URL, then create offset variants such as offset=0, offset=25, and offset=50.
3
Confirm the export path
Structured Export writes booking-com-hotel-listings-scraper.csv with headers enabled and append mode on. Change the save folder before client or campaign runs.
4
Run the offset loop
UScraper navigates, waits for the page, waits for property cards, exports the visible rows, pauses for two seconds, and advances to the next URL.
5
Open and audit the CSV
Check row counts, missing address values, duplicate hotel URLs, locale text, and score formatting before using the file in reporting or enrichment.
Output preview
CSV columns produced by the template
The export mirrors the workflow definition and is intentionally narrow: it captures fields that are normally visible on Booking.com search-result cards. Some cards may omit address or location text, especially when the page layout, language, or destination module changes.
| keyword | hotel_name | hotel_url | address | rating | reviews | review_score |
|---|---|---|---|---|---|---|
| Hokkaido | Example Sapporo Hotel | https://www.booking.com/hotel/jp/example-sapporo.html | Sapporo, Hokkaido, Japan | Excellent | 1,284 | 8.9 |
| Hokkaido | Otaru Canal Stay | https://www.booking.com/hotel/jp/otaru-canal-stay.html | Otaru, Hokkaido, Japan | Very Good | 642 | 8.4 |
| Hokkaido | Furano Lodge Sample | https://www.booking.com/hotel/jp/furano-lodge-sample.html | Furano, Hokkaido, Japan | Wonderful | 219 | 9.1 |
booking-com-hotel-listings-scraper.csvColumn
keyword
The search keyword carried with the configured URL, such as Hokkaido.
Column
hotel_name
The visible property title from each search-result card.
Column
hotel_url
The Booking.com detail-page URL from the listing title link.
Column
address
Visible address, location, distance, or map-adjacent text when exposed in the card.
Column
rating
The human rating label, such as Excellent, Very Good, or a localized equivalent.
Column
reviews
The visible review count extracted from the review-score area.
Column
review_score
The numeric score parsed from the review-score text.
Headers included - every configured Booking.com offset appends into one file
Comparison
Local Booking.com scraper vs API and hosted actors
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Booking.com template | No-code users who need a controlled Booking.com listings export to CSV from a local desktop app | Best for research batches, not high-volume infrastructure |
| Booking.com Demand or Connectivity APIs | Partners with approved API access and contractual requirements | Requires official onboarding, keys, API limits, and implementation work |
| Hosted scraping actors | Teams that want vendor-managed crawling infrastructure | Search URLs and output pass through a third party and may bill per run or row |
Frequently asked questions
Booking.com search results may be publicly visible, but automated collection can still be limited by Booking.com terms, robots directives, copyright, database rights, privacy rules, and local law. Keep runs modest, do not bypass access controls or CAPTCHA, and get legal review before commercial reuse.
Before you run
Practical limits and maintenance notes
Keep these constraints visible
Rate limits
Booking.com may slow or challenge repeated browsing
Use modest batches, avoid parallel runs against the same destination, and pause if you see CAPTCHA, sign-in walls, or unusual response pages.
Selector drift
Listing-card markup can change
Blank address, rating, or score cells usually mean Booking.com changed the card layout, the locale text shifted, or the selected destination hides that field.
Compliance
Review terms before reuse
Treat the CSV as a research export, document your lawful basis, and avoid republishing protected content or building commercial datasets without a policy review.
Download the free template, import it into the local desktop app, and use it whenever you need to export Booking.com listings into a structured CSV for reviewable travel research.
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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