Platform · Property Finder

Property Finder Data Scraping

Q: What if a listing has no permit number?

We flag it with permit_missing rather than dropping it. Absence is itself a compliance observation and may be of interest. Dropping unpermitted listings would silently reduce your supply count and hide a pattern worth seeing.

With permit numbers captured, because the UAE requires them on listings and duplicates are the market's main data problem.

Property Finder data scraping is the automated collection of publicly visible UAE property listing data — asking price with price per square foot computed, regulatory permit numbers captured for duplicate detection, off-plan separated from ready property, and broker versus developer listing distinguished.

The UAE requires listings to display a regulatory permit number. That single field solves the problem that makes this market hard to analyse: the same property listed many times by many brokers.

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propertyfinder_permits.jsonl LIVE FEED

{"pf_listing_id":"pf-7712049", "permit_number":"71***4-8812", "permit_group_id":"aw-prm-44810", "listings_in_permit_group":9, "permit_missing":false, "listing_type":"sale", "property_stage":"ready", "asking_price":2450000, "area_sqft":1180, "price_per_sqft":2076.27, "service_charge_per_sqft":18.50, "lister_type":"broker", "emirate":"Dubai","community":"Example Marina", "status":"available"} {"pf_listing_id":"pf-7719981", "permit_group_id":"aw-prm-44810", "asking_price":2595000, "lister_type":"broker", "note":"same property, different broker, 6% higher ask"}

2 of 412,880 listing rowspermit captured 94.6% · dedup by permit · schema v2.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Property Finder or its owners. Property Finder 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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Property Finder at a glance

How we handle Property Finder specifically

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

Platform: Property Finder across UAE emirates, with sale and rent separated
The key field: Permit number, which regulation requires and which identifies duplicates
Property stage: Off-plan separated from ready, since pricing logic differs entirely
Lister type: Broker versus developer listing distinguished
Unit pricing: Price per square foot computed, the standard basis in this market
Charges: Service charges captured where published, since they affect yield
Refresh: Daily standard; sub-daily on priority communities
Region: United Arab Emirates

Platform specifics

What makes UAE property data different

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

Permit numbers make duplicate detection possible

Multiple brokers listing the same physical property is the defining data problem in UAE real estate. Without a shared identifier, supply counts inflate and price analysis double-counts.

Regulation requires listings to display a permit number, which gives what almost no other property market offers: a field that identifies the underlying property across listings.

What we do with it

Group listings by permit number to produce a de-duplicated supply count.
Report listing count per permit, since a property listed by twelve brokers is itself informative about broker behaviour.
Compare asking prices within a permit group — dispersion across brokers on one property is a real signal.
Flag listings with no permit number rather than dropping them, since absence is itself a compliance observation.

We deliver permit_number, permit_group_id, listings_in_permit_group and permit_missing. A supply figure computed without permit grouping overstates available stock by a large margin, and that error runs through every downstream metric.

Off-plan and ready property are different assets

A large share of this market is off-plan — sold before completion, with payment plans and handover dates rather than immediate possession. Treating it as equivalent to ready property is a category error.

Pricing logic differs. Off-plan prices reflect a future asset with construction risk.
Payment plans are a pricing mechanic, and a plan with post-handover instalments is materially different from full payment on completion.
Handover date is a required field for off-plan and meaningless for ready.
Price per square foot is not comparable between the two without acknowledging the stage.

We capture property_stage, handover_date and payment_plan_summary where published, and keep the two populations separable. Merged, price-per-square-foot distributions become bimodal and any community average describes neither segment.

Yield analysis needs service charges, and disappearance is not a sale

Two boundaries worth stating, both of which affect how the data can honestly be used.

Service charges

Rental yield in this market cannot be computed from price and rent alone, because annual service charges are material and vary considerably by building. We capture service_charge_per_sqft where published and report it as null where not, rather than omitting the field and letting a yield calculation quietly overstate returns.

Disappearance

As on Rightmove, a listing vanishing is not a sale. It can be withdrawn, relisted by a different broker, taken off during a price reset, or removed for compliance reasons. Where the platform publishes a status transition we record it; otherwise we record disappeared_unconfirmed and do not classify it.

Transacted prices in this market come from official registry sources with their own terms. We do not present asking prices as achieved prices, and we do not merge the two silently.

Scope

What we collect on Property Finder, 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

Permit number with de-duplicated permit grouping and listing count per group
Listings missing a permit number flagged rather than dropped
Off-plan separated from ready, with handover date and payment plan summary
Price per square foot computed on a stated basis
Service charge per square foot where published, null where not
Broker versus developer lister type
Community, tower and emirate geography as published
Sale and rent as separate populations
Status transitions where published, and unconfirmed disappearance otherwise

❌ What we do not, and why

Any claim that a disappeared listing was sold
Achieved transaction prices, which come from registry sources with their own terms
Owner or applicant personal details
Individual agent personal contact details as distinct from brokerage contacts
Yield figures computed without service charges, where charges are unpublished

Core Property Finder fields

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

Field	What it is on this platform
pf_listing_id	Platform listing identifier, the record key
permit_number / permit_group_id	Regulatory permit and our grouping of listings sharing it
listings_in_permit_group	How many brokers list this property, itself a signal
permit_missing	Set where no permit number is published
listing_type	sale or rent, kept as separate populations
property_stage	off_plan or ready, since pricing logic differs entirely
handover_date / payment_plan_summary	Off-plan fields, null on ready property
asking_price / area_sqft / price_per_sqft	Price, area and computed unit price
service_charge_per_sqft	Annual service charge where published, needed for yield
lister_type	broker or developer
emirate / community / tower	Geography as published
status / disappeared_unconfirmed	Published transition, or unconfirmed disappearance

Use cases

What teams do with Property Finder data

De-duplicated supply measurement

Permit grouping collapses multiple broker listings of one property, so supply counts reflect actual available stock rather than listing volume.

Broker price dispersion on one property

Asking prices within a permit group reveal where brokers differ on the same asset, which is invisible without the permit field.

Off-plan versus ready market analysis

Property stage with handover dates and payment plans keeps the two segments separable, so price-per-square-foot distributions describe one market at a time.

Honest yield analysis

Service charges are captured where published and reported null where not, so a yield calculation either includes them or visibly cannot.

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

Send us a Property Finder 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.

Property Finder is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Property Finder 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 Property Finder-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

Property Finder data scraping: frequently asked questions

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

Because multiple brokers listing one property is the defining data problem in this market. Regulation requires a permit number on listings, which gives a field that identifies the underlying property across listings — something almost no other property market offers.

A supply figure computed without permit grouping overstates available stock by a large margin, and that error runs through every downstream metric.

We flag it with permit_missing rather than dropping it. Absence is itself a compliance observation and may be of interest.

Dropping unpermitted listings would silently reduce your supply count and hide a pattern worth seeing.

Because they are different assets. Off-plan prices reflect a future asset with construction risk and are frequently attached to payment plans, which are themselves a pricing mechanic.

Merged, price-per-square-foot distributions become bimodal and any community average describes neither segment.

No. Achieved prices come from official registry sources with their own terms, not from listing portals.

We collect asking prices and never present one as the other. Where a listing disappears with no published status transition we record disappeared_unconfirmed rather than classifying it as a sale.

Where published, yes, per square foot. They are material in this market and vary considerably by building.

Where unpublished the field is null rather than omitted, so a yield calculation either includes the charge or visibly cannot. Omitting the field entirely would let yield figures quietly overstate returns.

We quote individually. Drivers are emirate and community scope, whether both sale and rent are needed, refresh frequency, and whether historical backfill is required.

Selected communities at daily refresh sits at the lighter end. One scoping call, a free pilot on your own communities within 24 hours, then a fixed monthly quote. Request a quote.

See real Property Finder 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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