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$20.00/month + usage

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

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Developed by

Jamshaid Arif

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

0.0 (0)

Pricing

$20.00/month + usage

Total users

Monthly users

Last modified

13 hours ago

Real estate

Developer tools

Travel

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:

{
  "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

Configure your input parameters in the Apify platform or local environment
Run the script:

$python main.py

Output

The script outputs data in JSON format with the following structure:

[
  {
    "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"
  }
]

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