Airbnb Open Data
Airbnb Open Data
Datasets
Airbnb Open Data
File
Airbnb Open Data
Use Case
Airbnb Open Data
Description
Explore our comprehensive Airbnb Open Data dataset, featuring detailed listings, reviews, and calendar entries from New York City. Perfect for data scientists and marketers.
Description:
Airbnb, a renowned global platform for vacation rentals and experiences, connects guests with unique local stays and activities. Headquartered in San Francisco, California, Airbnb has revolutionized travel since its inception in 2008 by allowing people to explore destinations through the eyes of a local. Originally launched as AirBedandBreakfast.com, Airbnb offers a diverse range of accommodations without owning the properties, instead generating revenue through service fees applied to each booking.
Dataset Description: This dataset is part of the Airbnb Inside initiative and provides a comprehensive overview of Airbnb’s listings in New York City. It captures the essence of what makes Airbnb a favorite choice for travelers seeking authentic experiences in one of the world’s most vibrant cities.
Download Dataset
Content: The dataset includes:
- Listings: Detailed descriptions, average review scores, and additional attributes of each property.
- Reviews: Data for each review, including a unique identifier for the reviewer and their detailed feedback.
- Calendar: Daily records for each listing, detailing availability and pricing.
Data Dictionary: A data dictionary accompanies the dataset to detail the structure and components of the data collection. This includes descriptions of each variable, their data formats, and their roles within the dataset.
Expanded Insights:
- Host Analysis: Insights into the activity levels of various hosts and the factors influencing their popularity and booking rates.
- Regional Trends: Examination of different neighborhoods and what they offer to guests.
- Market Predictions: Predictive analytics on future trends in the Airbnb market in New York City.
- Behavioral Insights: Analysis of guest preferences and behavior based on booking patterns and reviews.
Purpose and Applications: This dataset serves as an excellent resource for:
- Data Cleaning Exercises: Practice and challenges for beginners to improve their data preprocessing skills.
- Data Visualization: Creating visual representations to understand trends and patterns.
- Predictive Analysis: Using historical data to forecast future market behaviors and host activity.
- Exploratory Analysis: Gaining insights into host operations and guest preferences to optimize marketing and operational strategies.
Contact Us
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
Let's Discuss your Data collection Requirement With Us
To get a detailed estimation of requirements please reach us.