LAGIC
Lead Audience Growth Intelligence Computing
F

Fast Booking Scraper — Booking.com | Lagic

Built ForTravel AgenciesHospitality & Hotel ChainsReal Estate & Investment

Extract Detailed Hotel & Accommodation Data for Market Analysis and Competitive Pricing

Curated by Lagic·Verified working

Configure Agent

Insert the destination name here

Insert URLs to start with instead of a destination name. Hotel search URL's filters will be applied, except for the ones in the scraper input. You can also use shared list URLs. These links are generated for properties you saved in your Booking account.

Limit the number of places to be scraped. Input a value over `1000` to activate the 'overcome 1000 results limit' feature.

Choose type of property

Hotel attribute by which the results will be ordered

Minimum rating of a hotel in "8.4" format. - Searching below a rating of `5` may be very inefficient, as it's not natively supported by Booking.

Only scrape places with the selected stars count. Also includes Booking's apartment-like properties 'square' rating.

Currency to be set on the website

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

Property nameFull addressStar rating (if available)Guest review scoreTotal number of reviewsPrice per night
Sample Text...Value...Value...Value...911$19.99
Sample Text...Value...Value...Value...662$19.99
..................
Exports as:CSVXLSXJSON

Overview

Gather comprehensive property information from Booking.com, including names, prices, ratings, reviews, and addresses. This tool helps travel businesses and researchers monitor market trends and compare listings without manual effort.

### Uncover Booking.com's Accommodation Landscape The Fast Booking Scraper is your direct line to structured data from Booking.com, one of the world's largest accommodation booking platforms. Whether you're a market researcher, a travel agency, or a competitor tracking pricing, this tool provides the granular detail you need to make informed decisions. Specify a destination, check-in and check-out dates, and guest numbers, then refine your search with powerful filters. You can choose specific property types like hotels, apartments, or villas, set a minimum guest rating, and even filter by star count. Need to see how pricing changes over a week? The 'Stay date flexibility' option lets you scrape data for a range of dates around your selected period. ### Overcome Data Volume Limitations Booking.com's search results often cap at 1000 listings. This tool includes a special feature to "overcome 1000 results limit" by intelligently paginating and segmenting searches, allowing you to access a much larger dataset for popular destinations. You can also provide specific Booking.com URLs, including shared lists from your own account, for targeted data extraction. ### Essential Data for Strategic Insights The output delivers critical data points for each property, such as its name, full address, star rating, guest review score, and the total number of reviews. You'll also get the price per night, currency, check-in and check-out dates, and a direct URL to the listing. This structured information is ready for immediate analysis, enabling you to compare properties, identify pricing strategies, and understand market dynamics.

Key Capabilities

  • Property name
  • Full address
  • Star rating (if available)
  • Guest review score
  • Total number of reviews
  • Price per night
  • Currency of the price
  • Check-in date
  • Check-out date
  • Image URL for the property
  • Room type
  • Timestamp of when the data was scraped
  • Direct URL to the Booking.com listing
  • Number of persons accommodated
  • Travel agencies monitoring competitor pricing for hotels, resorts, and various accommodation types in popular destinations.
  • Hospitality businesses analyzing guest review trends and ratings across different property categories to improve their offerings.
  • Real estate investors researching average nightly rates and property types in specific locations for potential investment opportunities.
  • Market researchers identifying popular destinations, property types, and pricing tiers to understand travel industry shifts.
  • Content creators gathering data on unique accommodations for travel guides or blog posts.
  • Revenue managers tracking pricing fluctuations based on seasonality and demand to optimize their own pricing strategies.
  • Event planners comparing large blocks of accommodation options based on location, rating, and price for group bookings.

Field Dictionary

How To Run This Extractor

1

Specify your target by entering a destination name or pasting one or more Booking.com search result URLs.

2

Set your desired check-in and check-out dates, and indicate the number of adults and children.

3

Refine your search by selecting property types (e.g., Hotels, Apartments), star ratings, minimum guest review scores, and preferred currency.

4

Optionally, use the 'Max results per destination or URL' field to control output size, or input a value above 1000 to extract more listings than Booking.com's default limit.

5

Run the tool, and it will navigate Booking.com, apply your filters, and extract the detailed property information.

6

Receive a structured JSON file containing all the requested hotel and accommodation data, ready for download and analysis.

Frequently Asked Questions

What skill level is needed to use this tool?
No coding or technical skills are required. The tool is designed for business users to input search criteria directly.
What formats can I export the data in?
Is this tool compliant with data privacy regulations?
How does the 'overcome 1000 results limit' feature work?
Can I scrape hotels with a very low minimum rating?
How fresh is the data I receive?
Can I schedule recurring data extractions?
What if I need data for specific hotel listings, not just search results?
How does stay date flexibility impact the results?
Is the pricing for this tool predictable?