Booking.com All-Year Multi-Area Hotel Data Scraper

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 ...

364 runs
31 users
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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

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. 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" } ]

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.

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Actor Information

Developer
moving_beacon-owner1
Pricing
Paid
Total Runs
364
Active Users
31
Apify Platform

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