Zoopla-dataset-samples

A sample dataset of 1001 Zoopla property listings

A Zoopla dataset sample of over 1000 records. Dataset was extracted using the Bright Data API.

Some of the data points that are included in the Zoopla dataset:

• url: The URL or link to the property listing
• property_type: Type or category of the property
• property_title: Title or headline of the property listing
• address: Address of the property
• google_map_location: Google Maps location or coordinates of the property
• virtual_tour: Link to a virtual tour of the property
• street_view: Link to Google Street View for the property location
• url_property: The URL or link to the property listing
• currency: Currency used for pricing information
• deposit: Deposit amount required for renting or purchasing the property

And a lot more.

This is a sample subset which is derived from the "Zoopla property listings" dataset which includes more than 170K records.

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 Zoopla dataset.

What are the Zoopla datasets use cases?

1. Housing Market Demand Analysis

Analyze and forecast housing demand and sales trends by leveraging the Zoopla dataset, identifying market cycles, price fluctuations, and key pricing trends such as peak and low points.

2. Price Trends and Growth Analysis

Monitor and compare property prices on Zoopla, analyzing price trends and growth potential in various locations. By leveraging localized real estate datasets, the goal is to evaluate property amenities, price fluctuations, and homebuyer preferences in different areas.

3. Smart Business Decisions

Identify high-yield rental properties and uncover key investment opportunities by analyzing rental cycles, vacancy rates, and location-based trends using the Zoopla dataset.

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