At Voylina, we believe that the future of travel planning is data-driven. While we provide curated itineraries for destinations like New York and Tokyo, we also understand the importance of transparency and accuracy in pricing.
Today, we are proud to announce the launch of the Voylina Open Data Initiative. We are releasing a comprehensive dataset analyzing travel trends, hotel pricing, and resort reviews in Florida for 2025 to the open-source community.
Why We Are Releasing This Data?
Our goal is to empower developers, data scientists, and travel analysts to build better prediction models. By understanding the correlation between "Review Scores" and "Nightly Rates" in Florida's top destinations (Miami, Orlando, Key West), we can all make smarter travel decisions.
Dataset Specifications
This dataset has been rigorously cleaned and verified by the Voylina technical team. It includes:
- 1,000+ Records: Verified hotels and resorts across Florida.
- Pricing Trends: Projected pricing structures for the 2025 season.
- Sentiment Analysis: Aggregated review scores and location ratings.
- Visual Assets: Direct links to verified property images.
Access the Data (Open Source)
We are making this data available for free for non-commercial and educational use. You can access the repositories on the world's leading data platforms below:
📥 Download Repositories
-
Kaggle Dataset:
Florida Hotels & Resorts Prices Analysis 2025 -
GitHub Repository:
Erajiayoub/florida-travel-data-2025
For Developers & Analysts
We encourage you to use this data for:
- Regression Models: Predicting hotel prices based on location rating.
- EDA (Exploratory Data Analysis): Visualizing the density of high-rated resorts in Miami vs. Orlando.
- Travel Apps: Building test applications using real-world travel data.
If you use this dataset in your projects, please credit Voylina.com as the source. We look forward to seeing what the community builds!