Booking.com is one of the richest sources of verified guest reviews in the travel industry - every review comes from someone who actually stayed at the property. These reviews contain granular feedback: what guests loved, what disappointed them, the purpose of their trip, and their overall score. For hotel operators, travel analysts, and hospitality consultants, this review data reveals patterns that summary scores hide.
Which room types get the best feedback? What complaints recur across seasons? How does breakfast quality affect overall ratings?
This robot extracts individual guest reviews from any Booking.com hotel page: the reviewer name, review position, review score, comments, reviewer nationality, trip type, room type, and stay duration. Turn scattered guest feedback into structured datasets for sentiment analysis and operational improvement.
What structured Booking.com review extraction enables:
| Position | Name | Date | Review | Type | Score | Nationality | Room Type | Days of stay |
|---|---|---|---|---|---|---|---|---|
| #1 | Maria S. | January 2024 | Great location and helpful staff, but the room was small | Couple | 8 | Italy | Double Room | 3 |
| #2 | James T. | December 2023 | Excellent breakfast and clean rooms. Would recommend to friends | Family | 9 | United Kingdom | Family Suite | 5 |
| #3 | Sophie L. | November 2023 | Good value for money, though noise from street was an issue | Solo | 7 | France | Single Room | 2 |
| #4 | Ahmed K. | October 2023 | Modern amenities and friendly service. Perfect for business trips | Business | 9 | Egypt | Standard Room | 4 |
| #5 | Lisa M. | September 2023 | Beautiful views but WiFi connection was unreliable at times | Couple | 7 | Germany | Deluxe Room | 6 |
No Booking.com API access, no scraping libraries, and no technical setup. Navigate to a hotel's review section and the robot captures every review.
Ready to get started?
Try this robot free →Guest review data from Booking.com drives operational improvements, competitive strategy, and market intelligence:
Each guest review from Booking.com yields these structured fields:
| Field | What it contains |
|---|---|
| Position | The review's position or rank on the hotel's review page. |
| Name | The name of the reviewer who submitted the guest review. |
| Date | When the guest stayed at the property. |
| Review | The full text of the guest's review comment. |
| Type | The purpose of the trip (business, couple, family, solo, group). |
| Score | The numerical rating the guest assigned (out of 10). |
| Nationality | The country flag/nationality of the reviewer. |
| Room Type | The room category the guest stayed in. |
| Days of stay | The number of nights the guest spent at the property. |
Booking.com verifies that reviewers actually stayed at the property, making these reviews more reliable than unverified platforms. Review volumes vary by property - popular hotels may have thousands of reviews spanning years of guest feedback.
How does this Booking.com review scraper work?
It visits the reviews section of any Booking.com hotel page and extracts each individual review - reviewer name, position, score, comments, trip details, room type, and stay duration - into structured data rows.
Do I need Booking.com API access?
No. The robot extracts reviews from publicly visible hotel review pages on Booking.com without any API credentials.
Are Booking.com reviews verified?
Yes. Booking.com only allows reviews from guests who completed a stay through the platform, making the review data more trustworthy than open review platforms.
Can I extract reviews from multiple hotels?
Yes. Queue review page URLs from different hotels and all reviews flow into one dataset for cross-property comparison and analysis.
Is this Booking.com scraper free?
Browse AI's free plan includes credits to run this robot. Sign up without a credit card and start extracting hotel review data.
How many reviews can I extract per hotel?
The robot paginates through available review pages. The number of reviews captured depends on how many pages the hotel has and your Browse AI plan's extraction limits.
Guest reviews tell the story behind the rating - combine Booking.com feedback with other travel platforms for complete reputation analysis:
Scores, comments, trip types - structured review data for hospitality intelligence.