Booking.com All-Year Multi-Area Hotel Data Scraper
by moving_beacon-owner1
A Python-based scraper that automatically collects hotel listings from Booking.com across multiple cities and every month of the year, capturing data ...
Opens on Apify.com
About Booking.com All-Year Multi-Area Hotel Data Scraper
A Python-based scraper that automatically collects hotel listings from Booking.com across multiple cities and every month of the year, capturing data such as price, rating, and availability for travel and market analysis
What does this actor do?
Booking.com All-Year Multi-Area Hotel Data Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Booking.com Hotel Scraper ## Overview This Python script scrapes hotel data from Booking.com for specified dates and locations. It extracts key information including hotel names, prices, ratings, and availability. ## Features - 🏨 Scrapes hotel listings with detailed information - 📅 Supports flexible date ranges - 🛡️ Implements anti-bot bypass techniques - 📊 Outputs structured data in JSON format - ⚡ Asynchronous implementation for better performance ## Configuration The script accepts the following input parameters: json { "startUrls": [{ "url": "https://www.booking.com/searchresults.html?dest_id=1234&dest_type=district" }], "start_date": "2025-05-01", "days": 3 } ## Data Fields Collected | Field | Description | |-------|-------------| | check_in | Check-in date | | check_out | Check-out date | | name | Hotel name | | price | Room price | | rating | Guest rating | | timestamp | When data was scraped | ## Usage 1. Configure your input parameters in the Apify platform or local environment 2. Run the script: bash python main.py ## Output The script outputs data in JSON format with the following structure: json [ { "check_in": "2025-05-15", "check_out": "2025-05-16", "name": "Example Hotel", "price": "€120", "rating": "8.5", "timestamp": "2025-05-04T12:34:56.789Z" } ]
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Booking.com All-Year Multi-Area Hotel Data Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- moving_beacon-owner1
- Pricing
- Paid
- Total Runs
- 364
- Active Users
- 31
Related Actors
Apartments.com Scraper 🏡
by epctex
Expedia Hotels 4.0
by jupri
Zillow Detail Scraper
by maxcopell
Idealista Scraper - Real Estate Data for Spain, Italy, Portugal
by igolaizola
Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.
Learn more about ApifyNeed Professional Help?
Couldn't solve your problem? Hire a verified specialist on Fiverr to get it done quickly and professionally.
Trusted by millions | Money-back guarantee | 24/7 Support