Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/luminati-io/Airbnb-dataset-samples

A sample dataset of over 1000 Airbnb listings, extracted using the Bright Data API, ideal for competitor tracking, brand reputation, and market analysis.
https://github.com/luminati-io/Airbnb-dataset-samples

airbnb airbnb-listings api data-analysis datasets web-scraper web-scraper-api web-scraping

Last synced: about 1 month ago
JSON representation

A sample dataset of over 1000 Airbnb listings, extracted using the Bright Data API, ideal for competitor tracking, brand reputation, and market analysis.

Awesome Lists containing this project

README 

        
# Airbnb-dataset-samples



A sample dataset of 1001 Airbnb property listings



![Airbnb dataset header](https://github.com/luminati-io/Airbnb-dataset-samples/blob/main/airbnb-datasets.PNG)



A Airbnb dataset sample of over 1000 property listings. Dataset was extracted using the Bright Data API.



Data points included in this free dataset:



* ```property_id```: A unique identifier for the property listing on Airbnb

* ```name```: Title or name of the Airbnb property listing

* ```url```: The original URL to the Airbnb property listing

* ```final_url```: Updated URL, possibly after any redirects or modifications

* ```location```: General location information of the property

* ```category```: Type or category of the Airbnb property

* ```price```: Cost per night for renting the property

* ```image```: URLs or references to images of the property

* ```description```: Textual details describing the Airbnb property

* ```guests```: Number of guests the property can accommodate

* ```ratings```: Average rating based on guest reviews

* ```reviews```: Number of reviews received for the property

* ```seller_info```: Information about the property owner or host

* ```pets_allowed```: Indicates if pets are allowed in the property (True/False)

* ```house_rules```: Rules or guidelines set by the property owner

* ```amenities```: List of amenities or facilities provided by the property

* ```available_dates```: Dates when the property is available for booking

* ```lat```: Latitude coordinates of the property

* ```long```: Longitude coordinates of the property



And a lot more.



This is a sample subset which is derived from the "Airbnb Properties Information (public data)"

dataset which includes more than 11,000,000 companies.



Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.



Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.



Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.



Data enrichment available as an addition to the data points extracted: Based on request.



[Get the full Airbnb dataset](https://brightdata.com/products/datasets/airbnb).



![Airbnb dataset visual](https://github.com/luminati-io/Airbnb-dataset-samples/blob/main/airbnb-datasets-image.PNG)



What are the Airbnb datasets use cases?



1. Competitor Monitoring



Keep a close watch on competitor locations, property listings, customer ratings, and reviews. Pinpoint areas where your listings and pricing can be optimized to surpass your competitors.



2. Brand Perception



Gain insights into customer opinions about your brand and competitors. Detect shifts in consumer preferences and market trends, allowing you to adjust your strategy to maintain or enhance brand reputation.



3. Market Insights



Uncover popular destinations and newly listed properties on Airbnb to stay ahead of industry trends. Leverage Airbnb data for in-depth market analysis, driving machine learning initiatives, and crafting innovative offerings.



Free access to web scraping tools and datasets for academic researchers and NGOs



The Bright Initiative offers access to Bright Data's [Web Scraper APIs](https://brightdata.com/products/web-scraper) and [ready-to-use datasets](https://brightdata.com/products/datasets) to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application [here](https://brightinitiative.com).