Booking Reviews Scraper

Pricing

$1.00 / 1,000 reviews

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Booking Reviews Scraper

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Developed by

Zoro

Maintained by Community

Extract detailed hotel reviews from Booking.com, including reviewer info, ratings, stay details, and review text. Supports sorting, rating filters, and multiple URLs. Ideal for travel research, sentiment analysis, and hospitality insights.

0.0 (0)

Pricing

$1.00 / 1,000 reviews

Last modified

4 hours ago

Travel

Developer tools

Automation

Booking Reviews Scraper is a powerful and easy-to-use Apify Actor that allows you to extract structured hotel review data directly from Booking.com.
This tool is designed for travel researchers, hospitality businesses, data analysts, and developers who need accurate and organized customer feedback at scale.

Key Features

Scrape reviews from any Booking.com hotel URL
Extract reviewer name, location, stay details, rating, and full review text
Support for multiple hotel URLs in a single run
Sort reviews by relevance, newest, or oldest
Filter reviews by rating range (e.g., 9+, 7–9, 5–7)
Clean, structured JSON output for easy integration

Input Parameters

Field	Type	Description	Example Value
`urls`	array	One or more Booking.com hotel URLs	`["https://www.booking.com/hotel/cz/jeromehouse.en-gb.html"]`
`count`	integer	Number of reviews to scrape per URL	`10`
`sort_by`	string	Sort order for reviews	`MOST_RELEVANT`, `NEWEST_FIRST`, `OLDEST_FIRST`
`rating_filter`	string	Filter reviews by rating	`9+`, `7-9`, `5-7`, `3-5`, `1-3`

Example Output

The scraper returns structured JSON with all the key review details.

[
  {
    "id": "dde1c8a8-75dc-4f",
    "hotelId": "77040",
    "userName": "Schoen",
    "userLocation": "Sweden",
    "roomInfo": "Standard Double or Twin Room",
    "stayDate": "October 2025",
    "stayLength": "4 night(s)",
    "reviewDate": "October 13, 2025",
    "reviewTitle": "",
    "rating": "10.0",
    "reviewTextParts": {
      "Liked": "Very clean, beautiful place. The staff are welcoming and polite. I highly recommend this Hotel :) 10/10",
      "Disliked": ""
    }
  },
  {
    "id": "27f5a707-f3fc-47",
    "hotelId": "77040",
    "userName": "James",
    "userLocation": "United Kingdom",
    "roomInfo": "Standard Double or Twin Room",
    "stayDate": "October 2025",
    "stayLength": "3 night(s)",
    "reviewDate": "October 13, 2025",
    "reviewTitle": "Would recommend.",
    "rating": "7.0",
    "reviewTextParts": {
      "Liked": "Very clean. Excellent location. Warm room. Complementary gifts waiting in room.",
      "Disliked": "Breakfast wasn't to my liking but I'm not complaining.  Nice coffee and juices available."
    }
  }
]

Use Cases

Hotel performance tracking and reputation analysis
Travel research and review aggregation
Sentiment analysis for hospitality insights
Competitive intelligence for travel businesses
Data collection for machine learning and analytics

Tips for Best Results

Add multiple hotel URLs to scrape reviews from different properties in one run.
Use the sort_by parameter to control the order of reviews (e.g., newest first).
Apply rating_filter to focus on specific review segments.
Export your data in CSV or JSON format for further processing and reporting.

Why Use Booking Reviews Scraper

Fast and reliable review extraction
Structured and clean data output
Easy integration with other tools and systems
Ideal for SEO, content marketing, business intelligence, and travel platforms

On this page

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