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 5 branches and growing demand, the inconsistency wasn't just an efficiency problem — it was a quality problem. 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.
The question wasn't whether to fix it. The question was how to fix it without disrupting a team that had built deep muscle memory around their existing workflow.
"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 (/api/comparables/{'{uprn}'}/) pulls up to 200 bedroom-matched sales within half a mile, ranked by proximity, from the full Land Registry dataset. The price trends endpoint (/api/v1/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.
/api/public/address/find/ · /api/public/address/retrieve/
Resolves typed address to verified UPRN. Royal Mail formatted, 36M addresses.
/api/comparables/{'{uprn}'}/
Up to 200 comps, 0.5mi PostGIS radius, bedroom-matched, distance-ranked.
/api/v1/price_trends/?outcode=
Median prices, transaction volumes, YoY change by outcode.
/api/epc-checker/{'{uprn}'}/
Current energy rating A–G, efficiency score, potential rating, floor area.
/api/v1/properties/{'{uprn}'}/ · /api/v1/property_sales/?uprn=
Bedrooms, type, floor area, tenure, council tax band, 30 years of sale history.
The results
Integration
Total call cost per briefing pack: 21 API calls (address find 2 + retrieve 5 + comparables 10 + price trends 1 + EPC 1 + property record 1 + sold history 1). The integration runs in under 600ms. 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. The entire integration — including the PDF generation template — took their developer two weeks to build and test, with one additional week for training and branch rollout.
"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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