Pricing

Pay per event

Booking.com Scraper

Extract hotel and accommodation data from Booking.com search results. Get prices, ratings, reviews, room types, photos, and availability for any location worldwide. Handles anti-bot protection automatically. Export to JSON, CSV, Excel, or connect via API.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Stas Persiianenko

Actor stats

Bookmarked

Total users

Monthly active users

12 hours ago

Last modified

Configure MCP server with Booking.com Hotel Scraper — Prices, Ratings & Availability

Get a ready-to-use configuration for your MCP client with the Booking.com Hotel Scraper — Prices, Ratings & Availability Actor preconfigured at mcp.apify.com?tools=automation-lab/booking-scraper .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Fast Booking Scraper

voyager/fast-booking-scraper

Scrape Booking with this hotel scraper and get data about accommodation on Booking.com. Extract data by keywords or URLs for hotel prices, ratings, location, number of reviews, stars. Scrape and download data from Booking.com in JSON, Excel, HTML ,and CSV.

Voyager

1.4K

2.3

Booking Scraper

voyager/booking-scraper

Scrape Booking with this hotels scraper and get data about accommodation on Booking.com. You can crawl by keywords or URLs for hotel prices, ratings, addresses, number of reviews, stars. You can also download all that room and hotel data from Booking.com with a few clicks: CSV, JSON, HTML, and Excel

Voyager

5.8K

4.5

Booking.com Hotel Scraper -- Prices, Ratings & Availability

sovereigntaylor/booking-scraper

Scrape Booking.com hotel listings for any destination worldwide. Extract hotel names, nightly prices, guest ratings, star ratings, amenities, room types, distances, images, and availability. Supports date-based pricing, multi-room searches, currency selection, and smart pagination. Ideal for travel

Ricardo Akiyoshi

Simple Booking Scraper

dtrungtin/simple-booking-scraper

Scrape Booking with this free hotels scraper and get data about accommodation on Booking.com. You can crawl by keywords or URLs for hotel prices, ratings, reviews, stars, and scrape data from Booking.com.

Tin

108

Booking Search Scraper Pro

hello.datawizards/Booking-Search-Scraper-Pro

The Booking-Scraper Apify Actor extracts detailed hotel data from Booking.com in structured JSON, including names, addresses, reviews, and room details. Ideal for travel planning and market research, it supports proxy use and customizable limits. Built by DataWizards for scalable,data extraction.

datawizards

Booking Reviews Scraper

easyapi/booking-reviews-scraper

Extract detailed guest reviews, ratings, and booking information from any Booking.com hotel page. Get valuable insights including review scores, guest details, room types, and stay duration.

EasyApi

5.0

Booking Explorer 🐾

jupri/booking-hotels

💫 Scrape Booking.com Hotels

cat

452

5.0

Google Travel Hotel Prices

vittuhy/google-travel-hotel-prices

This actor extracts real-time pricing information for a given hotel across multiple dates and provides comprehensive price comparisons from various booking providers.

Vít Tuhý

114

5.0

Hotels.com scraper

jeremy_frost/hotels-com-scraper

Scrape hotel data with this scraper and gather information about accommodations on Hotels.com. You can filter your results by stars, dates, etc. Additionally, you can easily download all room and hotel data from Hotels.com in various formats. Similar scrapers: booking, tripadvisor, expedia, airbnb.

Jeremy Frost

166

1.0

Google Hotels Scraper

simpleapi/google-hotels-scraper

Get comprehensive hotel data from Google Hotels—listings, prices, ratings, reviews, photos, and amenities. Clean, structured output makes it perfect for travel research, dynamic pricing models, and marketplace data enrichment.