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Booking Reviews Scraper — Booking.com | Lagic

Built ForHospitality ManagementTravel Agencies & Tour OperatorsHotel Marketing

Deep insights into guest sentiment and hotel performance

Curated by Lagic·Verified working

Configure Agent

URLs of hotels to scrape reviews from. If you add any userData, it will be included in each review for given hotel under the key `customData`

Maximum number of reviews to scrape per hotel

Review attribute by which the reviews will be ordered

If you select Sort reviews by Newest first, when the scraper encounters the first review for each hotel older than this date, it will stop, and vice versa: reviews newer than this date will be ignored when Sort reviews by Oldest first is selected. This field is ignored for other sorting options. - Input the date in the UTC timezone.

Filter reviews by their score, as shown on Booking.com

Results to deliver

200 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

2 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Full review text, including liked and disliked sectionsOverall guest rating and specific category scores (e.g., cleanliness, staff)Review date and languageTraveler type (e.g., solo, couple, family)Reviewer's username, location, and avatar (if available)Hotel ID, overall rating, and total number of reviews
Value...Value...2026-04-05Value...Sample Text...10096
Value...Value...2026-04-05Value...Sample Text...10091
..................
Exports as:CSVXLSXJSON

Overview

Extract detailed guest reviews from Booking.com, including review text, ratings, traveler type, and dates, to understand what guests love and dislike about hotels and inform your strategy.

### Understand Your Guests and Competitors This tool provides a structured way to collect guest reviews from Booking.com, a critical source for understanding customer satisfaction and market perception in the hospitality industry. Whether you're a hotelier looking to improve services, a marketing agency crafting campaigns, or a researcher analyzing travel trends, access to this data is invaluable. Simply provide the **URLs of the hotels** you wish to monitor. The tool will then navigate to each hotel's review section and extract the available feedback. You have granular control over the data you receive, allowing you to focus on the most relevant information. ### Refine Your Data Collection To manage the volume of data, you can specify a **maximum number of reviews per hotel**. This is particularly useful for large hotels with thousands of reviews where you might only need a representative sample. You can also dictate the **order in which reviews are collected** by choosing to sort them by relevance, newest first, oldest first, highest score first, or lowest score first. For time-sensitive analysis, the **cutoff date** feature is essential. If you're sorting by newest reviews, the tool will stop once it encounters a review older than your specified date. Conversely, if sorting by oldest, it will ignore reviews newer than your date, ensuring you capture only the historical context you need. Additionally, you can **filter reviews by their score**, allowing you to isolate highly positive, highly negative, or any specific range of feedback. ### What You Get The output delivers a comprehensive dataset for each review, including the full review text (both liked and disliked sections), the overall guest rating, specific category scores (e.g., staff, facilities, cleanliness), and the date the review was posted. You'll also receive details about the reviewer, such as their username, location, and the type of traveler they are (e.g., solo, family, couple). Hotel-specific information like the total number of reviews, overall hotel rating, and check-in/check-out dates are also included, providing a complete picture for each entry.

Key Capabilities

  • Full review text, including liked and disliked sections
  • Overall guest rating and specific category scores (e.g., cleanliness, staff)
  • Review date and language
  • Traveler type (e.g., solo, couple, family)
  • Reviewer's username, location, and avatar (if available)
  • Hotel ID, overall rating, and total number of reviews
  • Check-in and check-out dates, and number of nights stayed
  • Any property responses to guest reviews
  • Images submitted with the review (URLs)
  • Number of helpful votes a review received
  • Custom data associated with each hotel, if provided in input
  • Hoteliers monitoring their own properties to identify service strengths and areas needing improvement.
  • Marketing agencies designing targeted campaigns for hospitality clients based on common guest praises or complaints.
  • Competitor analysis for hotels to benchmark guest satisfaction and identify market opportunities.
  • Travel industry researchers studying guest sentiment trends across regions or hotel categories.
  • Brand managers tracking online reputation for hotel chains and individual properties.
  • Identifying common themes in negative feedback to proactively address issues and improve guest experience.
  • Analyzing positive reviews to understand what aspects of a hotel's offering resonate most with guests.

Field Dictionary

How To Run This Extractor

1

Gather the Booking.com URLs for the hotels you want to analyze.

2

Paste these hotel URLs into the designated input field within the tool.

3

Optionally, set a maximum number of reviews per hotel to control the output size.

4

Choose how you want the reviews sorted: by relevance, date (newest/oldest), or score (highest/lowest).

5

Refine your results further by applying a cutoff date or filtering by specific review scores.

6

Run the tool to receive a structured dataset of all the collected reviews.

Frequently Asked Questions

What skill level is required to use this tool?
No coding or technical expertise is required. You simply paste hotel URLs and set your preferences through straightforward input fields.
What data formats can I export the reviews in?
Is using this tool compliant with data privacy regulations?
How many hotels or reviews can I scrape?
Can agencies use this for client work?
What makes this tool different from general web scrapers?
How reliable is the data collected?
Can I schedule this tool to run periodically?
How fresh is the data I receive?
How is the cost determined?
Can I filter reviews to only get positive or negative feedback?
Is it possible to only get reviews posted after a certain date?