What types of property data can be collected?

Residential and commercial listings, transaction records, valuation and pricing data, rental and lease details, ownership and title records, tax data, zoning information, and geospatial intelligence.

How do you ensure property data accuracy?

Accuracy is ensured through automated validation, source verification, normalization rules, and multi-level manual quality audits before delivery.

Is property data collection compliant with regulations?

Yes. All property data collection services follow ethical sourcing practices, applicable data protection laws, and regulatory compliance standards.

Can property data be collected across regions and sources?

Yes. Data is collected from MLS platforms, real estate portals, government registries, municipal records, and offline documents across multiple regions.

How is collected property data delivered?

Property data is delivered in Excel, CSV, JSON, XML, database-ready formats, or through direct system integration based on business requirements.

Can property data collection scale for large portfolios?

Yes. Enterprise-grade automation and workflows support high-volume, recurring, and real-time property data collection at scale.

Property Data Collection Services | MLS, Ownership, Valuation and Real Estate Market Data

Data Accuracy

ISO 27001 Certified

ISO Certification

Up to 60% vs in-house

Cost Saving

+ Years

Experience

Overview

Property Data Collection for Real Estate Firms, PropTech Platforms and Investors

Property intelligence is only as good as the data behind it. A valuation model fed inaccurate comparable sales produces bad valuations. A rental yield calculation built on incomplete lease records produces bad investment decisions. A CRM populated with stale listing data produces wasted outreach.

Getting reliable property data at the scale most firms actually need requires more than occasional manual research. MLS records need regular extraction. Ownership and title data needs to be pulled from Land Registry, county assessor databases, and government portals that are not always easy to access in bulk. Rental data needs to be aggregated across dozens of portals. Valuation comparables need sourcing from transaction records that are often locked behind PDF documents or behind proprietary systems that do not export cleanly.

Computyne provides outsourced property data collection for real estate firms, PropTech companies, investors, lenders, appraisers, and market research organisations. We collect from MLS systems, public registries, real estate portals, government databases, and offline sources. Every dataset is validated for accuracy, standardised to a consistent format, and delivered into your platform in the way your team can actually use it.

Why Outsource Property Data Collection?

Collecting property data in-house works when your requirements are small and consistent. It stops working when you need data from multiple sources, across multiple geographies, on a regular update schedule. At that point, you are either staffing a dedicated data team or accepting that your datasets are out of date.

Outsourcing gives you a dedicated collection operation with the right source access, the right tools, and the infrastructure to run scheduled extraction at scale without you having to maintain any of it. Computyne has collected property data for US, UK, Canadian, and Australian clients since 2009. The case study on this page covers a US real estate firm that cut data aggregation time by 80% and manual effort by 60% in the first engagement. That result is typical when a structured outsourced operation replaces an ad hoc in-house collection.

Our Solutions

Property Data Collection Services Across Every Asset Class and Data Type

Each service is available as a one-off project, recurring feed, or fully managed ongoing collection operation.

MLS Data Collection Services

MLS systems hold the most current and comprehensive residential and commercial listing data available in the US market. Getting that data out in bulk, keeping it updated, and standardising it for use in your own platform or CRM requires either direct MLS access or a structured collection partner.

Residential and commercial MLS listing data extraction across multiple MLS regions
Active, pending, and sold listing status tracking with scheduled update frequency
Full field capture: price, beds, baths, lot size, year built, days on market, agent details
IDX-compliant data delivery for display platform requirements
Multi-MLS aggregation for platforms covering multiple geographic markets
Delivery formats: CSV, JSON, XML, database direct, or API feed

Property Listing Data Collection and Extraction

Property portal data across Rightmove, Zoopla, Zillow, Realtor.com, Redfin, Domain, REA Group, and hundreds of regional portals. Collected on a scheduled basis, deduplicated, standardised, and delivered ready for your platform.

Residential listing data: asking price, property type, size, features, listing agent
Commercial listing data: GLA, lease type, availability, tenant, ERV, agent details
New development listing extraction from developer sites and off-plan portals
FSBO and auction property data collection from relevant platforms
Price change, sold price, and listing history tracking
UK sources: Rightmove, Zoopla, OnTheMarket, PrimeLocation, Land Registry sold prices
US sources: Zillow, Realtor.com, Redfin, Trulia, LoopNet, CoStar (licensed)
Australia sources: Domain, REA Group (realestate.com.au), CoreLogic

Property Ownership and Title Data Collection

Ownership and title data sit behind government registries, county assessor databases, and title company records that are structurally difficult to access at scale. Computyne extracts and standardises this data for portfolio management, lead generation, investment targeting, and compliance applications.

Land Registry ownership data extraction for England and Wales
County assessor and recorder database collection across US states
Title deed and encumbrance record extraction
Lien, mortgage, and charge data collection for risk assessment
Beneficial ownership and corporate entity property holding research
Historical ownership chain extraction for due diligence applications
Off-market property owner contact data for direct outreach campaigns

Property Valuation and Comparable Sales Data

Appraisers, lenders, PropTech platforms, and investment analysts all need reliable comparable sales data. When the underlying transaction record is wrong or incomplete, every valuation built from it is also wrong.

Comparable sales data extraction from MLS, public records, and portal sold prices
Transaction history collection: sale date, price, buyer, seller, loan amount
Automated Valuation Model (AVM) training dataset collection and formatting
Cap rate, NOI, and yield data collection for commercial assets
Appraisal support data: comparable selection, adjustment grid population
Historical price trend data by area, property type, and time period

Rental and Lease Market Data Collection

Rental data is fragmented across portals, letting agents, property management platforms, and private landlord listings. Getting a complete picture of rental market conditions in any geography requires collecting from multiple sources simultaneously.

Asking for rent collection across Rightmove Rentals, Zoopla Rentals, Zillow Rentals, and Apartments.com
Lease terms, break clauses, and renewal data extraction from commercial databases
Rental yield calculation data: asking price and rental income by postcode or ZIP
Tenancy and occupancy data collection for portfolio performance monitoring
Short-term rental data collection from Airbnb, Vrbo, and booking platforms
Vacancy rate tracking by area and property type for market intelligence

Real Estate Web Scraping Services

Web scraping is how most real estate portal data gets collected at volume. The challenge is doing it reliably: portals change their structure, introduce anti-scraping measures, and rate-limit aggressive crawlers. Computyne's scraping infrastructure handles these constraints, so your data feed does not break every time a portal updates its HTML.

Rightmove, Zoopla, and OnTheMarket are scraping for UK residential and commercial data.
Zillow, Realtor.com, Redfin, and Trulia are scraping for US property data
LoopNet and CoStar scraping support for commercial real estate intelligence
Domain and REA Group scraping for Australian property market data
Anti-bot handling, proxy rotation, and session management for reliable extraction
Scheduled scraping with change detection: only new or updated records on each run
Data delivered as structured CSV, JSON, or direct database insert

Commercial Real Estate Data Collection

Commercial real estate data requirements are different from residential. Investors and portfolio managers need lease data, tenant information, occupancy rates, NOI figures, and comparable transaction evidence across office, retail, industrial, and mixed-use assets. Most of this data is not on public portals.

Office, retail, industrial, and mixed-use asset data collection
Lease terms, rent review dates, break options, and tenant covenant data
Occupancy and void rate collection for portfolio performance tracking
CRE transaction data from CoStar, EGi, Property Week, and public registries
Planning application data extraction for development opportunity intelligence
Investment comparable data for valuation and yield benchmarking

Property Tax and Compliance Data Collection

Tax assessments, zoning classifications, permitted use data, planning records, and environmental compliance information affect property value, development potential, and legal exposure. Accessing this data at scale from government sources requires structured collection workflows.

Property tax assessment and rate collection by jurisdiction
Municipal and county property record extraction across US states
UK Council Tax band and business rates collection
Zoning and land use classification data from planning portals
Planning application status, approval, and condition data extraction
Environmental designation and flood risk data collection from government sources

Geospatial and Location Intelligence Data

Property value, rental demand, and development viability all depend on location context. Geospatial data collection brings together the infrastructure, amenity, demographic, and catchment intelligence that makes location analysis meaningful.

Points of interest data: schools, transport, retail, healthcare by proximity
Demographic and census data collection for catchment area analysis
Infrastructure and planning constraint data collection
Flood zone, geological, and environmental risk data
Walk score, transport connectivity, and accessibility data
Delivery in GIS-compatible formats: GeoJSON, Shapefile, KML, CSV with coordinates

DATA SOURCES AND PLATFORM COVERAGE

Property Data Collected From Every Major Source

Market	Portal and Registry Sources	Data Types Covered
United Kingdom	Rightmove, Zoopla, OnTheMarket, PrimeLocation, Land Registry, EPC Register, Planning Portal, VOA	Listings, sold prices, ownership, EPC ratings, planning, valuations
United States	Zillow, Realtor.com, Redfin, Trulia, LoopNet, CoStar (licensed), county assessors, FEMA	Listings, transactions, tax, ownership, flood zones, commercial
Australia	Domain, REA Group (realestate.com.au), CoreLogic, PriceFinder, state land titles offices	Listings, sold prices, ownership, valuation, and rental data
Canada	REW, Realtor.ca, Centris, provincial land registries, CMHC, Statistics Canada	Listings, ownership, mortgage, market data, demographics
Europe	Immobilienscout24, Seloger, Idealista, Funda, Imovirtual, and cadastre databases by country	Listings, transaction data, ownership records, market trends
Global Commercial	CoStar, EGi, MSCI Real Estate, national land registries, planning portals	CRE transactions, lease data, valuations, planning

Property data sources and platform coverage illustration

Case Studies

Property Data Collection Results

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US Real Estate Firm: 80% Faster Data Aggregation, 60% Less Manual Effort, Real-Time Market Visibility

A leading US-based real estate company was spending significant internal time on manual property data collection and market research. Computyne automated the operation, cutting data aggregation time by 80%, reducing manual effort by 60%, and giving the firm real-time visibility into target market conditions for the first time. The client moved from reactive data gathering to a continuous intelligence feed that informs acquisition and pricing decisions daily.

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Faster Data Collection

Reduction in Manual Effort

Accurate Market Data

Why Choose Us

Benefits of Outsourcing Property Data Collection to Computyne

80% Faster Data Aggregation

From the US real estate case study: automating property data collection cut aggregation time by 80% versus the client's previous manual operation. The same result is typical when a structured collection pipeline replaces ad hoc in-house research.

60% Reduction in Manual Effort

Computyne's automated collection and validation workflows removed 60% of the manual data effort from the US real estate client's operation, freeing the team for analysis and decision-making rather than data gathering.

99%+ Data Accuracy

Multi-layer validation, deduplication, and source cross-referencing produce datasets that consistently hit 99%+ accuracy. Errors that reach your models, valuations, or CRM are caught before delivery, not after.

Named Sources, Not Generic Feeds

Every dataset is collected from the specific sources your market requires: Rightmove and Land Registry for UK work, Zillow and county assessors for US, Domain and REA Group for Australia. You get market-specific data, not generic aggregated output.

Scales Without Staffing

From 500 property records to 5 million, the same managed delivery model applies. Volume spikes from portfolio expansion or geographic growth require no internal hiring or retraining.

ISO 27001 and GDPR Compliant

All property data collection follows ISO 27001 security protocols with signed NDAs, role-based access, and GDPR-aligned handling for UK and EU clients. Sensitive ownership and personal data are handled with documented compliance controls.

Engagement Models and Pricing

Flexible Property Data Collection Engagement Models

One-Off Project

Market entry, specific intelligence sprint, initial dataset build

Scoped Quote

Chose Plan

Volume: Any volume
Best for Market entry, specific intelligence sprint, initial dataset build
Pricing Basis: Scoped quote by source count and record volume

Recurring Feed

Portal price monitoring, listing updates, and ownership refresh

From $500/mo

Chose Plan

Volume: Daily, weekly, monthly
Best for Portal price monitoring, listing updates, and ownership refresh
Pricing Basis: Monthly retainer from $500/mo, depending on volume

Dedicated Data Team

PropTech platforms, large-scale ongoing data operations

Custom

Chose Plan

Volume: High volume, SLA-backed
Best for PropTech platforms, large-scale ongoing data operations
Pricing Basis: Custom contract based on volume and complexity

Free Pilot

Test accuracy and delivery format before committing

Free

Chose Plan

Volume: Up to 500 records
Best for Test accuracy and delivery format before committing
Pricing Basis: Free, no obligation

Choose the model that fits your property data requirement, from a free pilot to a fully managed ongoing collection operation.

Get a Custom Property Data Quote

Our Process

From Data Requirement to Delivered Property Dataset in 5 Steps

Define Requirements

You tell us what data you need: sources, geographies, property types, fields, update frequency, and delivery format. We ask the right questions to scope the project accurately.

Day 1

Source Assessment

We assess your target sources for availability, access method, structure, and any legal or technical constraints. We confirm what is feasible before work begins.

Day 1 to 2

Build and Configure

We build the extraction pipeline, configure validation and deduplication rules, and run a pilot batch of representative records for your review.

Day 2 to 5

Full Collection and Validation

Full collection runs with deduplication, standardisation, accuracy checks, and formatting to your specification. Incomplete or suspicious records are flagged before delivery.

Day 5 onwards

Delivery and Ongoing Management

Data delivered in your format on your schedule. Recurring feeds run automatically. Change detection ensures only new or updated records are included on each run.

Ongoing

FAQs

Frequently Asked Questions

Request a Free Consultation

What is property data collection?

Property data collection involves gathering, validating, and structuring data about real estate assets from digital and offline sources. This includes listing data from portals like Rightmove and Zillow, ownership and title records from Land Registry and county assessors, transaction and sold price data, rental market intelligence, valuation comparables, tax and zoning information, and geospatial data. The output is structured, formatted, and delivered for use in analytics, CRM systems, valuation models, or PropTech platforms.

Which property data sources can be collected from?

We collect from MLS systems, UK portals (Rightmove, Zoopla, Land Registry), US portals (Zillow, Realtor.com, Redfin, county assessors), Australian portals (Domain, REA Group), Canadian registries, and commercial databases including CoStar and EGi. Government sources include the UK Land Registry, FEMA flood databases, planning portals, and VOA for council tax and business rates. If a data source is accessible through structured or semi-structured means, we can collect from it.

How accurate is the property data you collect?

Most property data collection projects deliver accuracy above 99% through automated validation rules, source cross-referencing, deduplication, and manual review of flagged records. Accuracy benchmarks are agreed upon before each project and reported in every delivery.

Can property data be collected regularly?

Yes. Recurring data feeds on daily, weekly, or monthly schedules are available for listing prices, rental rates, ownership changes, sold price updates, and any other data type that changes regularly. Change detection logic ensures only new or updated records are included on each run, keeping delivery sizes manageable and your data current.

What property data formats are supported?

Data is delivered in CSV, Excel, JSON, XML, database-ready flat files, or GIS formats, including GeoJSON and Shapefile for geospatial data. Output structure and field naming are configured to match your platform or system requirements before delivery begins.

Is property data collection legal and compliant?

Yes, when conducted correctly. We only collect data from publicly available sources and comply with the terms of service of each platform. UK and EU data collection follows GDPR-aligned handling practices. All engagements include a documented source and compliance framework. We do not collect personal data from sources that prohibit it and do not use collection methods that breach platform terms.

Can you collect commercial real estate data as well as residential?

Yes. Commercial property data collection covers office, retail, industrial, and mixed-use assets. Sources include CoStar (through licensed access or permitted extraction), EGi, Property Week, national commercial registries, planning portals, and individual developer and agent websites. Commercial data fields include GLA, ERV, passing rent, occupancy status, tenant details, lease terms, and comparable transaction evidence.

Do you collect property data for markets outside the UK and the USA?

Yes. We cover Australia (Domain, REA Group, CoreLogic), Canada (Realtor.ca, provincial registries), and major European markets (Immobilienscout24, Seloger, Idealista, Funda, and national cadastre databases). For any market where publicly accessible property data exists, we can assess feasibility and scope a collection project.

How quickly can property data collection begin?

For standard portal extraction projects with defined field requirements, a pilot batch of records can be delivered within 3 to 5 business days of brief confirmation. More complex builds involving government portal access, multi-source aggregation, or custom data pipeline integration typically take 5 to 10 business days to configure before full production begins.

Can you enrich existing property databases with missing fields?

Yes. If you have a property database with gaps (missing sold prices, incomplete ownership records, no EPC ratings, absent planning history) we can run an enrichment pass to append the missing fields from verified sources. This is typically faster and more cost-effective than rebuilding the dataset from scratch.

How is property data kept secure during collection and delivery?

All collection operations follow ISO 27001 information security protocols with signed NDAs, role-based access controls, encrypted delivery, and GDPR-compliant handling for UK and EU data. Sensitive ownership and personal information are handled under documented compliance controls. Data is never retained beyond the agreed delivery and storage terms.

What is the difference between property data collection and property data scraping?

Property data scraping is one collection method: automated extraction from websites and portals using crawling and parsing tools. Property data collection is the broader service that includes scraping plus manual research, government registry access, MLS data extraction, API-based collection from platforms that offer data feeds, and document-based extraction from PDFs and offline sources. Computyne uses the most appropriate method for each data type and source.

Get in Touch

Drop us a Line Here.

Client Feedback

Computyne’s data team helped us gain real-time visibility into the property market. Their accuracy and turnaround time exceeded our expectations — a truly reliable partner for real estate data needs.

Ric Dube

We are impressed with the data entry services Computyne and the team provides to us. One ca undoubtedly count on Computyne for their invoice processing needs. Thank You!

Craig Archbold

We are very satisfied with your resume processing services and you fitted all our deadlines and exceeded our expectations in quality and due that we consider Computyne a valuable component of our squad.

Shira Papir

Industries

Property Data Collection Across Every Real Estate Sector

Real Estate Developers

Primary Data Needs: Land records, comparable pricing, planning approvals, and market feasibility data. Key Services Used: Property listing extraction, planning data, and Land Registry.

Residential Brokers and Agencies

Primary Data Needs: Listing intelligence, sold prices, competitor activity, and buyer demand signals. Key Services Used: MLS data collection, portal extraction, market trend data.

Commercial Real Estate Firms

Primary Data Needs: Lease data, occupancy rates, CRE transactions, tenant intelligence. Key Services Used: CRE data collection, CoStar extraction, lease database.

Property Investors and Funds

Primary Data Needs: Acquisition comparables, yield data, ownership records, and market trends. Key Services Used: Valuation data, transaction records, and rental yield data.

PropTech Platforms

Primary Data Needs: High-volume listing feeds, market data APIs, and historical price data. Key Services Used: MLS data, web scraping, recurring data feeds.

Mortgage Lenders and Banks

Primary Data Needs: Ownership verification, AVM training data, transaction history. Key Services Used: Ownership records, comparable sales, and the Land Registry.

Appraisers and Valuers

Primary Data Needs: Comparable sales, transaction evidence, rental data, market trends. Key Services Used: Comp sales data, valuation datasets, rental records.

Property Management Firms

Primary Data Needs: Tenant data, lease records, rental market benchmarks, vacancy rates. Key Services Used: Rental data collection, tenancy records, market data.

Government and Councils

Primary Data Needs: Land ownership records, planning data, zoning classifications, EPC data. Key Services Used: Regulatory data collection, planning records, and the Land Registry.

Market Research Firms

Primary Data Needs: Transaction trends, price indices, development pipeline, demand signals. Key Services Used: Market intelligence data, historical records, portal data.

Turn Your Results Into Our Next Milestone !

Data Accuracy

ISO 27001 Certified

ISO Certification

Up to 60% vs in-house

Cost Saving

+ Years

Experience

Overview