How to Scrape Google Hotels in Python

This blog was initially posted to Crawlbase Blog When planning trips, most travellers turn to Google to find hotels. The platform shows hotel listings, prices, reviews, and availability all in one place. For businesses, analysts, or travel platforms, this data is gold. Scraping Google Hotels can help you track pricing trends, monitor competitors, and analyze market opportunities in the travel industry. In this guide, we’ll show you how to scrape Google Hotels using Python and the Crawlbase Crawling API. With this method, you can collect hotel data at scale without worrying about blocks, CAPTCHAs, or IP bans. We’ll cover everything from setting up your environment to writing a complete scraper for hotel listings and individual hotel pages. Let’s start. Key Data to Extract from Google Hotels When scraping Google Hotels, it’s important to know which data points matter most. These details are useful for price monitoring, competitive analysis, and building travel tools. The image below shows some of the most valuable fields you can extract: Setting Up Your Python Environment Before scraping Google Hotels, you need to prepare your Python environment. This includes installing Python itself and a few essential libraries for sending requests and extracting data.

Apr 18, 2025 - 13:20

This blog was initially posted to Crawlbase Blog

When planning trips, most travellers turn to Google to find hotels. The platform shows hotel listings, prices, reviews, and availability all in one place. For businesses, analysts, or travel platforms, this data is gold. Scraping Google Hotels can help you track pricing trends, monitor competitors, and analyze market opportunities in the travel industry.

In this guide, we’ll show you how to scrape Google Hotels using Python and the Crawlbase Crawling API. With this method, you can collect hotel data at scale without worrying about blocks, CAPTCHAs, or IP bans. We’ll cover everything from setting up your environment to writing a complete scraper for hotel listings and individual hotel pages.

Let’s start.

Key Data to Extract from Google Hotels

When scraping Google Hotels, it’s important to know which data points matter most. These details are useful for price monitoring, competitive analysis, and building travel tools.

The image below shows some of the most valuable fields you can extract:

Setting Up Your Python Environment

Before scraping Google Hotels, you need to prepare your Python environment. This includes installing Python itself and a few essential libraries for sending requests and extracting data.