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https://github.com/luminati-io/Zillow-dataset-samples
A sample dataset of over 1000 Zillow listings, extracted using the Bright Data API, ideal for boosting your brand and analyzing competitors.
https://github.com/luminati-io/Zillow-dataset-samples
api data-science datasets web-scraping zillow zillow-house-listings zillow-scraper
Last synced: about 1 month ago
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A sample dataset of over 1000 Zillow listings, extracted using the Bright Data API, ideal for boosting your brand and analyzing competitors.
- Host: GitHub
- URL: https://github.com/luminati-io/Zillow-dataset-samples
- Owner: luminati-io
- Created: 2024-08-20T12:09:03.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-08-20T13:27:20.000Z (4 months ago)
- Last Synced: 2024-08-26T16:21:29.600Z (4 months ago)
- Topics: api, data-science, datasets, web-scraping, zillow, zillow-house-listings, zillow-scraper
- Homepage: https://brightdata.com/products/datasets/zillow
- Size: 2.88 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-web-scraping - Zillow data
- awesome-web-scraping - Zillow data
README
# Zillow-dataset-samples
A sample dataset of 1001 Zillow property listings
![Zillow dataset header](https://github.com/luminati-io/Zillow-dataset-samples/blob/main/zillow-datasets.PNG)
A Zillow dataset sample of over 1000 property listings. Dataset was extracted using the Bright Data API.
Data points included in this free dataset:
* ```zpid```: A unique identifier for the property listing on Zillow
* ```url```: The URL or link to the property listing
* ```city```: The city in which the property is located
* ```state```: The state in which the property is located
* ```streetAddress```: The street address of the property
* ```zipcode```: The ZIP code of the property
* ```price```: The price of the property
* ```homeStatus```: The status of the home (e.g., for sale, sold)
* ```homeType```: The type of the home
* ```longitude```: The longitude coordinate of the property
* ```latitude```: The latitude coordinate of the property
* ```photoCount```: The number of photos associated with the property listing
* ```currency```: The currency in which the price and estimates are listed
* ```livingArea```: The total living area of the property
* ```lotSize```: The size of the lot
* ```propertyTaxRate```: The property tax rate for the property
* ```rentZestimate```: The Zillow estimate of the property's rental value
* ```description```: A textual description or details about the property
* ```tourViewCount```: The count of views for property tours
* ```streetViewMetadataUrlMediaWallLatLong```: URL for street view metadata using latitude and longitude
* ```isVerifiedClaimedByCurrentSignedInUser```: Indicates whether the claimed listing is verified by the current signed-in user (True/False)
* ```isZillowOwned```: Indicates whether Zillow owns the property (True/False)And a lot more.
This is a sample subset which is derived from the "Zillow Property Listings (public data)"
dataset which includes more than 134,060,000 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 Zillow dataset](https://brightdata.com/products/datasets/zillow).
![Zillow dataset visual](https://github.com/luminati-io/Zillow-dataset-samples/blob/main/zillow-datasets-image.PNG)
What are the Zillow datasets use cases?
1. Housing demand analysis
Leverage Zillow datasets to forecast housing demand and sales trends. Identify market cycles, and pinpoint the best opportunities by analyzing periods of lowest and peak prices.
2. Property price trends & growth
Monitor and compare property prices on Zillow with localized real estate data. Analyze amenities by location to gain insights into homebuyer expectations and market conditions.
3. Investment insights
Identify properties with the highest rental yields and analyze market dynamics using Zillow datasets. Uncover rental cycles, vacancy rates, and other key metrics to make informed investment decisions.
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).