PropertyData guides
Understand PropertyData’s features, pricing and workflows before deciding whether it belongs in your research stack.
PropertyData pricing explained: which plan fits your research?
PropertyData’s web app uses tiered monthly plans, with lower tiers governed partly by credits and higher allowances as you move up. The useful question is not simply which plan is cheapest, but how often you will research areas, evaluate properties and save alerts.
Read guide →PropertyData features: what the platform actually covers
PropertyData connects several stages of UK property research: local-market analysis, sourcing, individual-property evaluation, comparables, valuations, planning context and development calculations.
Read guide →PropertyData free trial: what to test in 14 days
PropertyData advertises a 14-day free trial. The best use of that window is to test real research tasks rather than browsing every menu.
Read guide →How PropertyData credits work — and when they matter
PropertyData’s lower web-app plans include monthly credits, while its Unlimited plan removes monthly credit limits. Credits matter most when your workflow involves repeated data lookups rather than occasional research.
Read guide →PropertyData for property investors: a practical workflow
For investors, PropertyData is designed to move from area research to sourcing and then property-level evaluation. That makes it relevant to people who want evidence before they commit to viewings, offers or deeper due diligence.
Read guide →PropertyData for developers: site appraisal and development research
Developers can use PropertyData for planning context, boundaries, comparables, GDV-oriented valuation and development calculations alongside broader market research.
Read guide →PropertyData for estate and property agents
Agents can use property data to support valuations, market conversations and client-facing research with evidence on local prices, rents, comparables and activity.
Read guide →PropertyData API: when the API makes more sense than the web app
PropertyData publishes a large UK property API covering addresses, market prices, rents, valuations, planning, ownership, constraints, sourcing and development data. It is aimed at software, automation and higher-volume workflows rather than ordinary manual research.
Read guide →PropertyData George AI assistant: what it changes
George is PropertyData’s AI property-research assistant, designed to answer natural-language questions using property-market data. The useful distinction is that an assistant can shorten the path to evidence, but important outputs still need verification.
Read guide →PropertyData browser extension: where it fits in property sourcing
A browser extension can reduce context switching when you are reviewing live property listings. PropertyData includes extension-based tooling as part of its broader sourcing and research workflow.
Read guide →PropertyData Plot Map: boundaries, planning and property context
PropertyData’s Plot Map brings building and boundary mapping together with layers such as planning and other property context. It is useful when a street address alone does not tell the whole story.
Read guide →PropertyData comparables: how to use them without fooling yourself
PropertyData provides sold and rental comparable workflows, including filters intended to make the comparison set more relevant.
Read guide →PropertyData valuation tools: houses, HMOs, commercial and development
PropertyData publishes automated valuation tools for ordinary residential property as well as specialist HMO, commercial and development use cases.
Read guide →PropertyData Deal Analyser: turning market data into an investment screen
PropertyData’s Deal Analyser is intended to appraise buy-to-let or BRRR opportunities using property values, rent and refurbishment assumptions in one workflow.
Read guide →PropertyData sourcing tools: finding opportunities with a repeatable process
PropertyData combines on-market and off-market sourcing ideas with alerts and property research. That can help turn an investment strategy into a repeatable search rather than a stream of ad-hoc portal browsing.
Read guide →