How to Scrape US News Travel Listings with Minixah.ai
Web scraping is a powerful technique for extracting valuable data from websites, and tools like Minixah.ai are making this process more accessible than ever. In this article, we’ll explore how to efficiently scrape travel listings from US News using Minixah.ai’s intuitive interface.
Using Minixah.ai to scrape travel listings involves a few straightforward steps. First, select the list mode in the Minixah web app and copy the URL of the listing page you want to scrape. This provides the foundation for your scraping operation.
Next, you’ll need to feed sample data to Minixah. Simply copy the listing content from the US News travel page and paste it as sample data. With this information, click on ‘create scraper,’ and Minixah will begin building a custom scraper for your needs. This process typically takes about two minutes.
Once the scraper is fully created, it becomes a versatile tool that can handle any US News travel listing URL. This means you can reuse the scraper for different travel listings, saving significant time and effort.
The real power of Minixah becomes apparent when viewing the scraped data. The tool successfully extracts key information including image URLs, prices, descriptions, and destination names. You can select which columns of data you need, and Minixah provides the code necessary to implement the scraper.
To use this code, copy it and paste it as the data value in the code provided in the Minixah GitHub repository. After replacing the data value and running the script, the tool scrapes the listing from the travel USA website, typically completing the process within a minute.
The scraped data is conveniently available in multiple formats including CSV, JSON, and Excel. Opening the JSON file reveals all the extracted information – image URLs, prices, descriptions, and destination names (like ‘Grand Canyon National’).
This approach to web scraping demonstrates how tools like Minixah.ai are democratizing access to web data, enabling businesses and individuals to gather valuable information efficiently and ethically for analysis, research, or other applications.