Booking.com logo Reviews Scraper

Booking.com Reviews Scraper
Extract Hotel Reviews & Guest Ratings

Pull Booking.com hotel reviews, guest scores, positive/negative feedback and detailed sub-ratings at scale. Power your hospitality competitive intelligence and pricing strategy — no code, no proxies needed.

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7-day free trial • No credit card required • Cancel anytime

Data fields you get

  • Property name & review score
  • Review title
  • Positive review text
  • Negative review text
  • Reviewer nationality
  • Stay type & room type
  • Review date
  • Staff, cleanliness, value sub-scores

What Data Can You Extract?

Booking.com's structured review format delivers richer data than most platforms — we extract all of it.

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Property Data

Property name, accommodation type, location, overall review score (1–10) and total number of guest reviews on the listing.

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Positive Review Text

What guests loved — extracted as a separate field, allowing standalone positive sentiment analysis without mixing with negative feedback.

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Negative Review Text

What guests disliked — separated from positive feedback by Booking.com's structured format, making complaint analysis easy.

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Reviewer Nationality

Reviewer's country of origin — invaluable for market-by-market sentiment analysis and understanding which nationalities have different expectations.

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Stay Context

Stay type (solo, couple, family, business), room type stayed in and nights booked — for granular segmentation of guest satisfaction data.

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Sub-Scores

Individual scores for staff, cleanliness, comfort, facilities, value for money and location — the granular scores behind the headline review number.

Who Uses the Booking.com Reviews Scraper?

Hospitality professionals worldwide rely on Booking.com data for competitive intelligence and performance benchmarking.

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Hotel Competitive Intelligence

Revenue managers and general managers benchmark their property's sub-scores against competing hotels in the same category and location set.

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Hospitality Analytics Platforms

SaaS vendors building hotel reputation management or review analytics tools ingest Booking.com data as their primary structured hospitality review feed.

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Travel Industry Research

Consultants and travel associations study Booking.com reviews by destination, accommodation category and nationality to produce market intelligence reports.

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Pricing Strategy

Hoteliers correlate review scores (especially value-for-money sub-scores) with pricing tiers to optimise room rates and improve perceived value positioning.

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Investment Due Diligence

Private equity investors and hotel acquisition teams analyse years of Booking.com review trends as part of commercial due diligence before purchasing hotel assets.

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Tourism Research & NLP

Academics and data scientists use Booking.com's structured positive/negative format as pre-labelled training data for hospitality sentiment models.

How to Scrape Booking.com Reviews

From sign-up to structured hospitality data in under five minutes.

1
Create a Free Account

Sign up at OneScraper — no credit card needed for your 7-day free trial.

2
Open the Scraper

Select the Booking.com Reviews Scraper from your OneScraper dashboard tool library.

3
Paste Booking.com URLs

Add one or more Booking.com property URLs. Bulk input is supported for scraping multiple properties simultaneously.

4
Download Your Data

Export as CSV, JSON or Excel — or connect via REST API to stream directly into your hospitality analytics platform.

Why Choose OneScraper?

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Zero Code Required

No developer needed — paste a Booking.com URL and receive structured review data within minutes.

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Cloud Infrastructure

Runs entirely in the cloud — no local scripts, browser automation or proxy management on your side.

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Scheduled Scrapes

Set daily, weekly or monthly auto-runs to keep your competitive review dataset perpetually current.

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Flexible Exports

JSON, CSV, Excel and REST API — integrate with your BI stack, PMS or hospitality analytics platform.

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Maintained by Our Team

We proactively update scrapers when Booking.com changes its structure — continuous data delivery without engineering overhead.

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Pay Per Result

$2.00 per 1,000 results — transparent pricing with no monthly minimums or hidden fees.

Start Extracting Booking.com Review Data Today

7-day free trial included. Then pay just $2.00 per 1,000 results.

Get Started Free

No credit card required • Cancel anytime

Frequently Asked Questions

OneScraper extracts only publicly visible review data — the same content any visitor sees without logging in. You should confirm a legitimate business purpose and comply with GDPR, CCPA and Booking.com's terms of service before large-scale collection.

Yes. Booking.com uses a structured positive/negative review format. Both sections are extracted as separate fields — making it trivial to run standalone positive or negative sentiment analysis without mixing the two.

Yes. Reviewer nationality is extracted where it is displayed publicly on the review — enabling you to segment guest satisfaction data by country of origin and identify market-specific patterns.

All scraped data can be downloaded as JSON, CSV or Excel (.xlsx). REST API access is included on all plans for automated integration with your hotel management system, data warehouse or analytics platform.

Yes. All new OneScraper accounts receive a 7-day free trial with no credit card required. Sign up and start extracting Booking.com review data immediately.