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Zoopla properties listing information

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Real estate

Zoopla

Property listings

Property analysis

Investment research

Pricing trends

Housing market

Rental data

Map data

Property data

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Zoopla properties listing information Dataset on Opendatabay data marketplace

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£190

About

Zoopla Properties Listing dataset to explore detailed property information, including pricing, location, and features. Popular use cases include real estate market analysis, property valuation, and investment research.
Use our Zoopla Properties Listing Information dataset to explore detailed property listings, including property details, pricing, location, and market trends across various regions. This dataset provides valuable insights into property valuations, consumer preferences, and real estate dynamics, enabling businesses and researchers to make data-driven decisions.
Tailored for real estate professionals, investors, and market analysts, this dataset supports market trend analysis, property valuation assessments, and investment strategy development. Whether you're evaluating property investments, tracking market conditions, or conducting competitive analysis, the Zoopla Properties Listing Information dataset is a key resource for navigating the real estate landscape.
Dataset Features
  • url: The original listing URL on Zoopla.
  • property_type: Type of property (e.g., Flat, Detached, Terraced).
  • property_title: Title or headline of the listing.
  • address: Full postal address of the property.
  • google_map_location: Geographical coordinates (latitude, longitude).
  • virtual_tour: Link to a virtual walkthrough or 360° tour.
  • street_view: Link to the Google Street View of the property.
  • url_property: Zoopla-specific property page URL.
  • currency: Currency in which the property is priced.
  • deposit: Security deposit required (typically for rentals).
  • letting_arrangements: Letting details (e.g., short-term, long-term).
  • breadcrumbs: Category breadcrumbs for location and type navigation.
  • availability: Availability status (e.g., Available now, Under offer).
  • commonhold_details: Information about commonhold ownership.
  • service_charge: Annual service charge (for leasehold properties).
  • ground_rent: Annual ground rent cost.
  • time_remaining_on_lease: Lease duration remaining in years.
  • ecp_rating: Energy Performance Certificate rating.
  • council_tax_band: Council tax band.
  • price_per_size: Price per square meter or foot.
  • tenure: Tenure type (Freehold, Leasehold, etc.).
  • tags: Descriptive tags (e.g., New build, Chain-free).
  • features: List of property features (e.g., garden, garage, en-suite).
  • property_images: URLs to property photos.
  • additional_links: Other related links (e.g., brochures, agents).
  • listing_history: Changes in price, listing dates, and status over time.
  • agent_details: Information about the listing agent or agency.
  • points_ofInterest: Nearby landmarks or facilities (schools, transport).
  • bedrooms Number of bedrooms.
  • price: Listed price of the property.
  • bathrooms: Number of bathrooms.
  • receptions: Number of reception rooms (living, dining, etc.).
  • country_code: Country code of the listing (e.g., GB for UK).
  • energy_performance_certificate: Detailed EPC documentation or summary.
  • floor_plans: URL or data related to property floor plans.
  • description: Detailed property description from the listing.
  • price_per_time: Price frequency for rentals (e.g., per week, per month).
  • property_size: Area of the property (in sq ft or sq m).
  • market_stats_last_12_months: Market stats for the area over the past year.
  • market_stats_renta_opportunities: Data on rental yields and opportunities.
  • market_stats_recent_sales_nearby: Sales history for nearby properties.
  • market_stats_rental_activity: Local rental activity trends.
  • uprn: Unique Property Reference Number for UK properties.
  • listing_label: Label/category of the listing.
Distribution
  • Data Volume: 44 Columns and 95.92K Rows
  • Format: CSV
Usage
This dataset is ideal for a variety of high-impact applications:
  • Property Valuation Models: Train ML models to estimate market value using features like size, location, and amenities.
  • Real Estate Market Analysis: Identify pricing trends, demand patterns, and neighbourhood growth over time.
  • Investment Research: Analyse rental yields, price per square foot, and historical price changes for investment opportunities.
  • Recommendation Systems: Develop intelligent recommendation engines for property buyers and renters.
  • Urban Planning & Policy Making: Use location and infrastructure data to guide city development.
  • Sentiment & Description Analysis: NLP-driven insights from listing descriptions and agent narratives.
Coverage
  • Geographic Coverage: Global
  • Time Range: Ongoing collection; historical data may span multiple years
License
CUSTOM
Please review the respective licenses below:
  1. Data Provider's License
Who Can Use It
  • Data Scientists: Build predictive models, conduct time-series analysis, etc.
  • Researchers: Study urban migration, housing affordability, and socio-economic factors.
  • Real Estate Professionals: Competitive benchmarking and portfolio evaluation.
  • Government & Policy Analysts: Understand housing supply/demand at the local level.
  • Startups & PropTech Platforms: Develop tools for smart search, price alerts, and rental management.

Dataset Name Suggestions
  1. Zoopla Real Estate Listings Dataset
  2. UK Property Market Insights (Zoopla)
  3. Zoopla Property Data for Real Estate Analysis
  4. Zoopla Property Intelligence & Pricing Trends
  5. Zoopla Residential Property Dataset

Pricing

Based on Delivery frequency
~Up to $0.0025 per record. Min order $250
Approximately 95.3K records are updated each month. Get the complete dataset each delivery, including all records. Retrieve only the data you need with the flexibility to set Smart Updates.
  • Monthly
New snapshot each month, 12 snapshots/year Paid monthly
  • Quarterly
New snapshot each quarter, 4 snapshots/year Paid quarterly
  • Bi-annual
New snapshot every 6 months, 2 snapshots/year Paid twice-a-year
  • One-time purchase
New snapshot one-time delivery Paid once

Dataset Information

VIEWS

22

DOWNLOADS

0

LICENSE

CC0

REGION

GLOBAL

UDQSSQUALITY

5 / 5

VERSION

1.0