Extract guest reviews from Hotels.com property pages - ratings, review descriptions, dates, reviewer names, and trip types - plus the average rating and total review count for each property.
Hotels.com is one of the world's largest accommodation booking platforms, and its review system captures millions of verified guest opinions across properties in nearly every country. Each review includes a rating, written description, date, reviewer name, and trip type. The robot also captures property-level summary data: the average rating and total review count.
For anyone evaluating accommodation options - whether planning personal travel, managing corporate bookings, or conducting hospitality market research - these reviews provide ground-truth quality signals. This Hotels.com review scraper extracts guest reviews from any property page into structured data you can sort, filter, and analyze at scale.
What structured Hotels.com review extraction enables:
| Position | Rate | Description | Date | Reviewer | Trip Type |
|---|---|---|---|---|---|
| 1 | 8/10 | Clean hotel, great location, better than expected | 27. Sept. 2025 | Pierre | 2 nights, September 2025 |
| 2 | 8/10 | Clean, quiet, good location | 4. Aug. 2025 | Richard | 3 nights, July 2025 |
| 3 | 10/10 | Rooms are small but clean and in top condition. Perfect location | 6. Aug. 2025 | Slatina | 3 nights, August 2025 |
| 4 | 10/10 | Great hotel, very friendly and helpful staff, rooms small but OK | 12. Mai 2025 | Dieter | 1 night, May 2025 |
| 5 | 10/10 | Very nice hotel and very friendly staff | 10. Nov. 2024 | Marina | 3 nights, November 2024 |
No Hotels.com API, no partner account, and no code. Navigate to a property's review section and the robot extracts every guest review.
Ready to get started?
Try this robot free →Verified guest reviews from Hotels.com provide actionable intelligence for travel decisions, hospitality strategy, and market analysis:
The robot extracts two types of data. For each individual review:
| Field | What it contains |
|---|---|
| Position | The numeric position of the review on the page. |
| Rate | The guest's rating for the stay (e.g., 8/10). |
| Description | The guest's written feedback about their experience. |
| Date | When the review was posted. |
| Reviewer | The name or username of the guest who left the review. |
| Trip Type | Context about the stay, such as duration and month (e.g., '3 nights, July 2025'). |
The robot also extracts property-level summary fields: the Average Rating (e.g., 9.4/10) and total Reviews Count (e.g., 757). These summary stats appear alongside the individual review data.
What is a Hotels.com review scraper?
It extracts guest reviews from Hotels.com property pages - ratings, descriptions, dates, reviewer names, and trip types - plus the property's average rating and total review count, all structured for analysis.
Are Hotels.com reviews verified?
Yes. Hotels.com only accepts reviews from guests who completed a booking and stay through the platform, making the feedback based on real experiences.
Can I compare reviews across multiple hotels?
Yes. Queue review URLs from different properties. All review data lands in one dataset for cross-property comparison on any dimension.
What summary data does the robot capture?
Beyond individual reviews, the robot extracts the property's average rating and total review count - giving you both the big picture and the granular detail.
Is this Hotels.com scraper free?
Browse AI's free plan includes credits to run this robot at no cost. Create an account without a credit card and start extracting hotel reviews.
Can I filter reviews by trip type?
The robot extracts all reviews with their trip type details. You can then filter the dataset in your spreadsheet by trip duration, month, or travel context.
Hotels.com reviews are one perspective - combine with other platforms for multi-source accommodation intelligence:
Scores, category ratings, guest feedback - structured Hotels.com reviews for smarter travel decisions.
