The Booking.com API Scraper is a tool designed to quickly retrieve data from Booking.com using the hidden API. This approach enables fast data extraction without the need for proxy servers, streamlining the scraping process.
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Efficient Data Retrieval: Utilizes Booking.com's hidden API for rapid extraction of hotel information.
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No Proxy Requirement: Unlike traditional web scraping, this method bypasses the need for proxy servers, reducing costs and complexity.
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Comprehensive Hotel Overview: Gathers essential details such as hotel names, star ratings, distance from the center, and the lowest available price.
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Data Trend Analysis: Ideal for regular scraping to track price trends, making it a valuable tool for market analysis.
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Overview Pages Only: The API provides access to overview pages, limiting detailed information to what's available on the hotel list.
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Machine Learning Potential: While current functionality is focused on overview data, the collected information serves as a foundation for potential machine learning applications in the future.
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Daily Price Tracking: Daily scraping allows tracking price changes over time, enabling users to identify trends and make informed decisions.
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Data for Machine Learning: The extracted data provides a rich dataset for potential machine learning projects related to hotel pricing and market analysis.
This scraper has a sibling built with the Scrapy framework, allowing for more detailed information retrieval by crawling individual hotel pages. However, please note that this method is more resource-intensive as it requires the usage of proxies due to Booking.com's bot detectors. Explore the sibling scraper here: Booking.com Scrapy Scraper.
This project is licensed under the MIT License.