Google Travel serves as a comprehensive aggregator for travel data, covering categories like flights, vacation packages, and hotel rooms. The complexity of sorting through ad-sponsored listings and irrelevant options can be mitigated by using pre-made travel datasets or engaging in data scraping. For those interested in scraping, tools such as Python, Selenium, Requests, and AIOHTTP are essential. Selenium is used to scrape hotel information directly from Google Travel, requiring the installation of a webdriver, while Requests and AIOHTTP can utilize Bright Data’s Booking.com API to extract data. The process involves navigating the dynamic loading of Google Travel results and extracting specific data points like URLs, names, prices, and amenities from hotel cards. Alternatively, Bright Data offers a more streamlined approach with its Booking.com API, which allows data retrieval through HTTP requests, and the use of AIOHTTP can expedite the process by handling multiple datasets simultaneously. Bright Data also provides various ready-to-use travel datasets, such as those from Expedia and TripAdvisor, catering to different data extraction needs and offering a mix of self-managed and fully managed solutions.