✈️ Colombo Gems: 200 Prime Spots On TripAdvisor

Dataset Description:

Overview:
"Dive into the vibrant heart of Sri Lanka with our meticulously curated dataset featuring the top 200 destinations in Colombo, as listed on TripAdvisor. This rich and diverse collection provides a comprehensive snapshot of the city's most esteemed locales, encompassing an array of hotels, restaurants, natural attractions like lakes and beaches, and significant cultural and religious sites. Each entry in the dataset not only guides you through the bustling streets of Colombo but also offers a window into the soul of this enchanting city.

Dataset Utility:
Researchers, travel enthusiasts, data analysts, and marketers can leverage this dataset to:

• Conduct detailed travel and tourism research.
• Develop personalized travel guides or applications.
• Analyze trends in tourist preferences and hotspot popularity.
• Create targeted marketing campaigns for travel agencies or blogs.

Column Descriptions:
The dataset includes the following key columns, providing detailed insights into each destination:

1. Name: The name of the destination.
2. Type: The category of the destination (e.g., hotel, restaurant, cultural site).
3. Ranking Position: Ranking
4. Rating: The TripAdvisor user rating.
5. Address: The physical location of the destination.
6. Phone: Contact number.
7. Price: $$$
8. Email: Contact email.
9. WebUrl: The website link for more information.
   (Note: Some cleaning and analysis may be required to enhance accuracy, especially in the Type column.)

Acknowledgments:
A heartfelt thank you to TripAdvisor for making this data publicly accessible and to Apify for their robust and ethical data extraction tools. This dataset was obtained using Apify's assigned APIs, ensuring that all data collection adhered to ethical standards and respected digital use policies.

Ethical Data Use:
In gathering this dataset, we've placed a strong emphasis on ethical data practices. By utilizing Apify and their APIs, we ensure that the data collection process was conducted responsibly, respecting user privacy and platform guidelines.

Data Analysis and Cleaning:
While comprehensive, the dataset may require some cleaning and further analysis to refine the information, particularly in the Type column. Users are encouraged to apply appropriate data processing techniques to tailor the dataset for specific use cases, whether it be for academic research, market analysis, or creating engaging travel content.

Embark on a journey through Colombo's streets, from the serene coastline to the bustling markets, and discover what makes each spot unique. This dataset is more than just numbers and names; it's a gateway to exploring one of Asia's most dynamic cities."