This tutorial shows how to scrape Booking.com hotel detail pages into CSV with the Booking.com Hotel Info Scraper template. You will import the workflow, replace sample hotel URLs, set the export folder, run a validation batch, and troubleshoot blank price or availability fields.
Before you start
Prerequisites and policy checks
You need UScraper installed as a local desktop app, the Booking.com Hotel Info Scraper template, and hotel detail pages you are allowed to process. Start with two or three URLs from the same market, language, currency, date range, and occupancy.
This guide is for supervised research from hotel pages you can inspect in a browser. It is not a guide to bypass logins, CAPTCHA, private account areas, payment flows, partner dashboards, or access controls. Review Booking.com's terms and conditions, robots directives, privacy obligations, and local law before reusing hotel data.
If you need sanctioned accommodation search, property details, prices, availability, or reporting, compare this CSV workflow with the official Booking.com Demand API documentation and accommodations API reference.
Technical access is not permission. Keep batches modest, document the reason for collection, avoid access-control bypassing, and prefer official partner routes when the data will power a commercial product.
Workflow anatomy
What the Booking.com hotel data scraper exports
The template is built for hotel detail pages, not broad destination search. You supply known Booking.com hotel URLs, ideally URLs that already include date and occupancy context when price or availability matters.
In plain English, the automation path is:
Set Window Size -> Navigate -> Wait for Page Load
-> Wait for Element -> Sleep -> Structured Export -> Loop Continue
The Navigate block contains a multi-URL list. The waits let the hotel heading and dynamic modules render. Structured Export uses the page body as the row selector and writes JavaScript-backed columns. Loop Continue advances to the next supplied URL.
| CSV column | What it captures | Validation check |
|---|---|---|
nom | Hotel name from the heading, fallback title, or metadata | Compare against the visible title. |
adresse | Address or location text from Booking.com detail modules | Confirm country, city, and street formatting. |
description | Property description from metadata or visible description copy | Watch for truncated metadata on some pages. |
chambre / lit | Room and bed labels when room modules are visible | Requires date or room context on many pages. |
disponibilite | Availability prompt or remaining-room text | Expect blanks when the URL lacks dates. |
appreciation / experience / note | Review label, review count, and main review score | Check localized labels. |
prix_nuit / prix / taxe | Night count, visible price, and tax or fee text | Depends on currency, dates, and availability. |
rating / tag / url_detail | Star or quality rating, promotion tags, and source URL | Use url_detail for dedupe. |
Runbook
How to scrape Booking.com hotel details to CSV
Import the template
Open Booking.com Hotel Info Scraper, download the JSON, and import it into UScraper.
Replace the sample URLs
Paste your approved Booking.com hotel detail URLs into Navigate. Keep date, guest, room, language, and currency parameters when those values affect price or availability.
Keep the waits intact
The workflow waits for page load, waits for an h2, and sleeps briefly before export. Increase wait times before changing selectors.
Confirm the export folder
In Structured Export, keep headers enabled, use append mode, and set a project-specific folder for booking-hotel-info-scraper.csv.
Run, inspect, then widen
Run two or three hotels, compare the CSV against the browser, fix prompts or selector drift, then expand the URL list.
Append mode puts every hotel URL in one file, but test rows can mix with production rows. Use a dated filename or clear the CSV before rerunning a corrected workflow.
Validation
Validate the Booking.com hotel info export
Open the CSV beside the browser after the first run. Check source URL, hotel title, address, score, price, tax text, and room fields before you trust the file. Also save run date, destination, dates, guests, language, currency, URLs, and selector edits.
| Symptom | Likely cause | Fix |
|---|---|---|
| Zero rows or empty names | The page did not reach a normal hotel detail state | Handle consent or verification prompts, then rerun one URL. |
| Blank price cells | The URL lacks dates, guests, currency, or available inventory | Reopen the hotel page with explicit stay context and copy the updated URL. |
| Missing room or bed data | No room table was visible for that session | Treat room fields as optional or use date-bearing URLs. |
| Wrong review label | Locale-specific review wording changed | Inspect the page text and update the JavaScript pattern for that language. |
| Duplicate rows | URL list contains duplicates or append mode reran old tests | Dedupe by url_detail, hotel name, date context, and run timestamp. |
This is where Booking.com API vs scraping becomes practical. If your team needs stable schemas, contractual access, or production reliability, the Demand API is a better fit. If the deliverable is a short analyst-reviewed CSV from known hotel pages, this template is faster to validate than maintaining a Booking.com scraper Python project.
FAQ
Booking.com hotel scraping FAQ
It depends on permission, jurisdiction, data type, access method, and use case. Booking.com terms and robots directives can restrict automated access, copying, crawling, and reuse. Review current terms, privacy duties, and local law before using exported hotel data commercially.
Next step
Download the Booking.com hotel info scraper template
Download the JSON from Booking.com Hotel Info Scraper, import it into the UScraper local desktop app, and keep this tutorial open for the first validation pass. For adjacent workflows, browse the UScraper template library or the UScraper blog.