Platform · Rightmove

Rightmove Data Scraping Services

Q: Can you cover rentals as well as sales?

Yes, as separate populations with listing_type. They behave differently: rentals turn over far faster, use let-agreed rather than sold-STC, and their price history means something different. Merging them produces days-on-market and reduction figures that describe neither market. Most clients want one or the other; where both are needed you get two clean populations.

With relist-linked days on market, because a relisted property resets its clock and hides how long it has really been for sale.

Rightmove data scraping is the automated collection of publicly visible Rightmove listing data — asking price with portal price history and reduction counts, status transitions, geocoded attributes, agent identity and relist-linked days on market — structured so listing lifecycle is measurable and a sale is never inferred from a listing simply disappearing.

The UK has no MLS. The portal is the market, which makes Rightmove data unusually complete — and makes the one thing it cannot tell you unusually easy to get wrong. A listing vanishing is not a sale.

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rightmove_listings.jsonl LIVE FEED

{"rightmove_listing_id":"rm-148820471", "property_key":"aw-prop-GB-771204", "listing_type":"sale", "asking_price":425000, "price_history":[{"price":475000,"date":"2025-04-18"}, {"price":450000,"date":"2025-09-02"}, {"price":425000,"date":"2026-02-11"}], "reduction_count":2, "last_reduction_at":"2026-02-11", "days_on_market_listing":41, "days_on_market_linked":474, "relink_confidence":0.93, "status":"available", "postcode":"M20 2**","beds":3} {"rightmove_listing_id":"rm-148799012", "status":"null", "disappeared_unconfirmed":true, "note":"no status transition published — not a sale"}

2 of 884,200 listing rowsrelist linked 94.1% · schema v4.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Rightmove or its owners. Rightmove and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Rightmove at a glance

How we handle Rightmove specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Platform: Rightmove sale and rental listings across the United Kingdom
Why UK is different: No MLS — the portal is the market, so published data is unusually rich
Price history: Reduction count and dates from portal-published history
Days on market: Relist-linked, so a relist does not reset the clock
Status: Transitions captured: available, under offer, sold subject to contract, let agreed
Hard limit: Disappearance is never reported as a sale
Refresh: Daily standard; sub-daily on priority postcodes
Region: United Kingdom

Platform specifics

What makes Rightmove data different from other property portals

These are the reasons a Rightmove dataset needs its own handling rather than a shared retail schema.

No MLS means the portal is the market

In the US, listing data flows through MLS systems with licence terms that constrain what can be collected. The UK has no equivalent. Agents list directly on portals, and Rightmove carries the overwhelming majority of the market.

That makes Rightmove data unusually complete for a property dataset. Asking price, published price history, property attributes, agent identity, floorplans and status are all on the public listing.

It also concentrates the risk: if a property is not on Rightmove it is largely not on the market, so coverage gaps are genuine market signals rather than collection failures. We report coverage per postcode district so you can distinguish the two.

Relist-linked days on market is the field that changes conclusions

Days on market is the headline metric in property analysis and it is trivially easy to compute wrongly. A property that has been for sale for fourteen months can show as new if the agent relisted it last week.

Why relisting happens

Refresh the listing. A new listing appears higher in date-sorted results and looks fresher to buyers.
Agent change. The vendor switches agent and the property appears as a new instruction.
Price repositioning. Relisting at a new price rather than showing a reduction on the existing listing.
Failed sale. A sale falls through and the property returns.

We link relists using address, attributes and geocode, and deliver both days_on_market_listing and days_on_market_linked. The gap between them is often months, and it is exactly the number that tells you whether a market is moving.

Where linkage is uncertain — addresses are frequently partial on UK listings — the record carries a confidence score rather than a forced link.

What we will not claim: that a delisted property sold

This is the most common error in UK property datasets and it inflates absorption metrics in a direction that flatters the market.

A listing disappearing can mean sold, withdrawn, agent contract ended, taken off for renovation, moved to a rental listing, or a portal error. Rightmove publishes a status transition for some of these and not others.

Where a status transition is published — under offer, sold subject to contract, let agreed — we record it with its date. Where a listing simply disappears with no transition, we record disappeared_unconfirmed and do not classify it.

Sold prices are a separate matter: they come from Land Registry, they lag by months, and they are a different dataset. We do not present asking price as achieved price, and we do not merge the two silently. If you need achieved prices, licence the Land Registry data and join on address.

Scope

What we collect on Rightmove, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Asking price with portal-published price history and reduction count
Relist-linked days on market alongside listing-level days on market
Status transitions with dates where Rightmove publishes them
Geocoded location to postcode and coordinates where published
Property attributes: type, bedrooms, bathrooms, tenure, EPC where listed
Agent identity and branch, as a business not an individual
Sale and rental listings kept as separate populations
New-build development listings flagged separately
Listing images count and floorplan presence

❌ What we do not, and why

Any claim that a delisted property was sold
Achieved sale prices, which come from Land Registry and are a licensed dataset
Vendor or applicant personal details
Named individual agent contact details, as opposed to branch contacts
Listings or details visible only behind an account

Core Rightmove fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
rightmove_listing_id	Portal listing identifier, the record key
property_key	Our stable property identity across relists, so the clock does not reset
asking_price / price_history	Current asking price and the portal-published history with dates
reduction_count / last_reduction_at	How many times the price has been cut and when last
days_on_market_listing	Days since this listing appeared
days_on_market_linked	Days since the property first appeared across all linked listings
relink_confidence	Confidence in the relist linkage, since UK addresses are often partial
status / status_changed_at	available, under_offer, sold_stc, let_agreed, with the transition date
disappeared_unconfirmed	Set when a listing vanished with no published status transition
postcode / lat / lng	Geocoded location to the precision Rightmove publishes
listing_type	sale or rental, kept as separate populations

Use cases

What teams do with Rightmove data

True days on market for market analysis

Relist-linked days on market is computed alongside listing-level, so market velocity reflects how long properties have actually been available rather than how recently an agent refreshed the listing.

Reduction cadence and price discovery

Reduction counts and dates from published price history show how quickly asking prices adjust by area and property type, which is a faster read on the market than achieved prices that lag by months.

Agent performance benchmarking

Listing volumes, reduction frequency and time to status change are analysed by agent and branch, using business identity rather than individual names.

Postcode-level supply and absorption

New listings, status transitions and confirmed withdrawals are tracked per postcode district, with unconfirmed disappearances excluded rather than counted as sales.

The 24-hour sample — run on your sources, not ours

Send us a Rightmove item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned inside two business days
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Rightmove is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Rightmove data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what real estate data covers, and a Rightmove-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Rightmove data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Only where Rightmove publishes a status transition — under offer, sold subject to contract, let agreed — which we record with its date.

Where a listing simply disappears we record disappeared_unconfirmed and do not classify it. A disappearance can be a withdrawal, an agent change, a renovation or a portal error. Reporting it as a sale is the most common error in UK property datasets and it inflates absorption in a flattering direction.

Days since the property first appeared across all linked listings, rather than since the current listing appeared. A property for sale fourteen months can show as new if the agent relisted last week.

We link relists on address, attributes and geocode and deliver both figures. The gap is often months, and it is the number that actually tells you whether a market is moving.

No. Achieved prices come from Land Registry, lag by months and are a separate dataset with its own terms. We collect asking prices and never present one as the other.

If you need achieved prices, licence Land Registry data and join it to ours on address. Asking price plus achieved price is a much stronger analysis than either alone, and it is honest about which number came from where.

Good but not perfect, and we report confidence per record. UK listings frequently publish partial addresses — a street without a number — which limits certainty.

We link on address fragments, attribute match and geocode proximity, and where confidence is low the record carries the score rather than a forced link. A wrong link merges two properties and produces a days-on-market figure that is simply wrong.

Yes, as separate populations with listing_type. They behave differently: rentals turn over far faster, use let-agreed rather than sold-STC, and their price history means something different.

Merging them produces days-on-market and reduction figures that describe neither market. Most clients want one or the other; where both are needed you get two clean populations.

We quote individually. Drivers are geographic scope, whether both sale and rental are needed, refresh frequency and whether historical backfill is required.

Selected postcode districts at daily refresh sits at the lighter end; national coverage of both populations with sub-daily collection sits higher. One scoping call, a free pilot on your own postcodes within 24 hours, then a fixed monthly quote. Request a quote.

See real Rightmove data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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