LAGIC
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BOOKING PRICE SCRAPER - by room — Booking.com | Lagic

Built For

Extract daily room rates, availability, and detailed booking conditions from Booking.com hotels.

Curated by Lagic·Verified working

Configure Agent

Add the Booking.com hotel URLs here.

Select check-in date. Leave empty for today.

Number of days to scan forward.

IMPORTANT: Detect which rooms are sold out. Essential for demand analysis and revenue management. When enabled, the scraper first visits the hotel page without dates to discover ALL room types, then marks missing rooms as sold out.

Select output currency.

Number of adults.

Number of children.

Number of rooms.

Results to deliver

400 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

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

Sample Data Preview

Hotel name and direct Booking.com URLSpecific room name, ID, and descriptive detailsCheck-in and check-out dates for each price pointCurrent price, public price, original price, and any discount percentageAvailability status, number of rooms left, and sold-out detectionMaximum guest capacity for each room type
https://...Sample Text...2026-04-05579552Value...
https://...Sample Text...2026-04-0582983Value...
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts comprehensive room-level data from Booking.com, including prices, availability, sold-out status, amenities, and booking policies for specified hotels and date ranges, essential for competitive analysis and revenue management.

## Get the Full Picture of Booking.com Hotel Data Understanding the hospitality market requires more than just headline prices. This tool dives deep into Booking.com, extracting granular data on individual rooms within your chosen hotels. Whether you're a hotel owner, a revenue manager, a travel agency, or a market researcher, this data provides the competitive intelligence you need to make informed decisions. ### Why This Data Matters In a dynamic market like online travel, hotel prices and availability fluctuate constantly. This tool helps you cut through the noise by providing structured, room-specific data. You can track your competitors' pricing strategies, identify demand patterns by observing sold-out rooms, and even uncover potential discounts for longer stays. This level of detail is crucial for optimizing your own pricing, forecasting demand, and ensuring your offerings remain competitive. ### What Data You'll Receive The tool collects a wealth of information for each room type and date you specify. You'll get the core pricing data, including the current price, original price, and any applicable discounts. Beyond just the numbers, you'll see the availability status, how many rooms are left, and a confidence score for that stock level. Crucially, it detects if a room type is completely sold out, a key indicator for high demand. Detailed room features are also included, such as the room name, ID, guest capacity, bed type, size, and view. You'll also see a comprehensive list of facilities and amenities, whether breakfast is included, and the specific meal plan offered. For booking conditions, the tool captures if a room is refundable, if 'book now, pay later' is an option, and any free cancellation deadlines. Even tax breakdowns (excluded, included, and total fees) are provided, allowing for a complete cost analysis. ### Tailored for Your Needs The tool is flexible. You can specify the exact check-in date and how many days forward you want to scan. Configure the search for different guest counts (adults and children) and the number of rooms. For a deeper dive, enable the "Include Length-of-Stay Analysis" feature to uncover multi-night pricing data, which can reveal discounts for longer bookings. You can also select your preferred output currency to match your reporting needs.

Key Capabilities

  • Hotel name and direct Booking.com URL
  • Specific room name, ID, and descriptive details
  • Check-in and check-out dates for each price point
  • Current price, public price, original price, and any discount percentage
  • Availability status, number of rooms left, and sold-out detection
  • Maximum guest capacity for each room type
  • Bed type, room size in square meters, and room view
  • List of hotel facilities and room-specific amenities
  • Meal plan details and whether breakfast is included
  • Refundability status and free cancellation deadlines
  • 'Book now, pay later' options and other rate conditions
  • Breakdown of taxes and fees (excluded, included, total)
  • Output currency selected for pricing
  • Timestamp of when the data was extracted
  • Hoteliers monitoring competitor pricing strategies for specific room types and dates on Booking.com.
  • Revenue managers analyzing demand signals by tracking sold-out rooms and availability trends at rival properties.
  • Travel agencies identifying the best deals and booking conditions for client itineraries, including refundable options.
  • Market researchers gathering pricing intelligence across various hotels and destinations to spot hospitality trends.
  • Property managers assessing short-term rental market dynamics by observing hotel occupancy and pricing shifts.
  • Event organizers planning group bookings by comparing rates and availability across multiple hotels near a venue.
  • Individuals tracking price drops on their booked hotel rooms to re-book at a lower rate if available.

Field Dictionary

How To Run This Extractor

1

Provide the Booking.com URLs for the specific hotels you wish to monitor in the 'Target Hotels' field.

2

Set your desired 'Start Date' for check-in and the 'Days to Scrape' forward to define your pricing window.

3

Specify the number of 'Adults', 'Children', and 'Rooms' to match your guest configuration for the pricing query.

4

Optionally enable 'Track Sold-Out Rooms' to identify unavailable room types and 'Include Length-of-Stay Analysis' for multi-night pricing.

5

Run the tool to begin extracting detailed room pricing, availability, amenities, and booking conditions for your selected hotels and dates.

6

Download your comprehensive data in JSON, CSV, or Excel format for analysis.

Frequently Asked Questions

What technical skills do I need to use this tool?
No coding or technical skills are required. You only need to provide Booking.com hotel URLs and set a few parameters.
What formats can I export the data in?
Is the data extracted compliant with regulations?
Can I use this for client projects?
How does 'Track Sold-Out Rooms' help me?
What is 'Length-of-Stay Analysis' and why would I use it?
How reliable is the data extraction?
Can I schedule the tool to run automatically?
How fresh is the data I receive?
How is the cost of using this tool determined?