Estate Agency
How a london estate agency cut valuation prep time by 82%
Four separate data sources. Forty-five minutes of manual work before every appointment. A single API integration changed both.
The challenge
This agency had built a strong reputation across London and the Home Counties over fifteen years. Their valuers were experienced, trusted, and in demand. But underneath that reputation was a preparation workflow that hadn't changed since the agency opened.
Before every valuation appointment, each valuer would spend between 40 and 50 minutes pulling data from four different sources: Land Registry for sold history, the EPC register for energy ratings, a separate comparables tool, and their own internal notes for price trends. No two valuers did it the same way. Some had bookmarked shortcuts others didn't know about. Junior valuers spent longer. Data quality varied by person, by day, by postcode.
With five branches and growing demand, the inconsistency hurt quality as well as time. A valuation in Wandsworth might be backed by 20 comparable sales; one in Hertfordshire the following day by five. Clients noticed. Management had no way to standardise.
They needed a fix that wouldn't upend a team used to working the old way.
"We used to have three tabs open pulling data from different sources before every appointment. Now it's one click."
The solution
A pre-valuation briefing tool built on four Homedata API calls, generating a complete property intelligence pack automatically before every appointment.
Their development team integrated the Homedata API into their internal property management system. The trigger was simple: when a valuation appointment is booked and an address is confirmed, the system resolves the UPRN via address lookup and fires four data calls in parallel.
The comparables endpoint (/comparables/{'{uprn}'}/, arranged per customer) pulls up to 200 bedroom-matched sales within half a mile, ranked by proximity, from the full Land Registry dataset. The price trends endpoint (/price_trends/?outcode=) adds the outcode-level median price movement and transaction volume context. EPC data fills in the energy efficiency picture. The property record adds bedrooms, type, and floor area to confirm the briefing is anchored to the right asset.
Thirty minutes before each appointment, every valuer receives a structured PDF briefing pack. Same format. Same data depth. Every branch. The brief takes around 8 minutes to review, and valuers arrive knowing more than they ever did when the prep took six times as long.
Browser address widget
Resolves typed address to verified UPRN. Royal Mail formatted, 36M addresses.
/comparables/{'{uprn}'}/
Up to 200 comps, 0.5mi radius, bedroom-matched, distance-ranked.
/price_trends/?outcode=
Median prices, transaction volumes, YoY change by outcode.
/epc-checker/{'{uprn}'}/
Current energy rating A–G, efficiency score, potential rating, floor area.
/properties/{'{uprn}'}/ · /property_sales/?uprn=
Bedrooms, type, floor area, tenure, council tax band, 30 years of sale history.
The results
Integration
A briefing pack begins with address match: send both address and postcode for one matched property and its address fields. A successful match costs 5 tokens; HTTP 422 no_match or multiple_matches is never charged. Further property, EPC, price-trend and sold-price calls use the matched UPRN at their published costs. Comparable evidence is available in the complete property profile; the standalone comparables endpoint is arranged per customer. Their team built it on top of their existing Laravel-based management system, connecting appointment booking to the briefing generator via a webhook on address confirmation.
"We used to have three tabs open pulling data from different sources before every appointment. Now it's one click. Our valuers walk in more prepared than they've ever been."
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