Real Estate Indexing
Capitalize on every opportunity through early offer detection. Access precise valuations with mass capture of listings and variations.
What our clients say
Real results from companies using our platform
"We were able to index all our competitors' properties around Florida and predict when the market was under imminent recession, selling with high margin in time."
Maria C.
Real Estate Fund Manager
"The reports on mortgage market trends and variations we managed to structure allowed us to invest without risk in the pool."
James P.
Real Estate Family Office
Key features
Everything you need to succeed
Coverage of portals and geographic areas
We define together which portals, cities, provinces, or countries to work on. We can cover one or several portals at once, with the same data structure so you can compare them. Starting with one city or one portal is usually enough to validate the model before scaling to a whole region.
Standardized real estate fields
Each listing arrives with consistent fields: price, currency, area, bedrooms, bathrooms, location, coordinates, attributes, operation type, publication date, status. Defined at the start alongside your schema, so a listing from one portal and one from another land in the same columns.
Historical data and time evolution
Beyond active listings, we can deliver price history, changes, new listings, and delistings so you can measure real market evolution in the areas that matter to you. This is what turns a static snapshot into a series you can use to model seasonality.
Delivery to your analysis tool or product
CSV, Excel, JSON, via API, or direct import to your database or data warehouse. We define the schema at the start so it fits your model, and it stays stable across deliveries so your valuation logic does not need to be rewritten every time.
What the real estate dataset contains
Every delivery arrives with a fixed schema, built to feed directly into your valuation model or market dashboard. These are the fields we usually deliver; the final set is agreed at kickoff based on your case, and the same schema is used across every portal we cover so listings stay comparable.
Fields delivered
- Listing ID
- The portal's listing identifier, the key for tracking one listing over time.
- Operation
- Sale or rental.
- Type
- Apartment, house, PH, commercial unit, land, among others.
- Price
- Published value at the moment of capture.
- Currency
- Essential in markets where listings in local currency and dollars coexist.
- m2
- Covered and/or total area, as published in the listing.
- Rooms
- Number of rooms.
- Parking
- Whether it includes a parking space.
- Address/neighborhood
- Location as published, normalized when possible.
- Lat/long
- Coordinates for mapping the listing, when the portal publishes them or they can be derived from the address.
- HOA fee
- Monthly maintenance fee, when applicable and published.
- Age
- Years since construction, when the listing reports it.
- Agency
- Agency or publisher of the listing.
- Date
- Publication date or last update of the listing.
Sources we typically monitor
These are examples of the kind of source we cover; the actual list is built from your target market. If a portal matters to your business, we can monitor it.
- Zonaprop
- Argenprop
- Properati
- Inmuebles24
- Idealista
How to know if you need Real Estate analytics
If your franchise agents must manually cross comparables for hours just to appraise a property, while the real investment opportunity (Deal) reaches competitors first, you need this service. Manual comparables research does not scale with the number of zones you cover: the more markets you follow, the more hours it eats, and the appraisal is often outdated by the time it reaches a decision-maker.
How we help you
We collect the entire universe of listings from real estate portals and aggregators, processing latitude, sqm, description, and prices to deliver a Datawarehouse ready to filter and target. The hard part is rarely reading one listing: it is making sure the same property is not counted twice across portals, and that its coordinates and attributes are trustworthy enough to feed a valuation model.
We cover the real estate portals and areas that matter to you, not a generic sample.
We structure each listing into consistent fields: price, area, bedrooms, location, attributes.
We deliver historical data and recurring updates so you can measure market evolution.
When a portal changes, we handle it before you notice.
Gain your real estate advantage by ensuring decision-making with pure data
Tell us which areas and portals matter to you and we will show you what the dataset would look like before you commit to anything. Most projects start with a narrow area to validate coverage before scaling to the full market.
Frequently asked questions
Clarify your doubts about how our data process works.
We work with real estate portals, marketplaces, and public classifieds sites. The specific list depends on your market and we define it in the first meeting.
Yes. We can deliver the current state of listings and also the history (new listings, delistings, price changes) depending on the scope we define at the start. This is useful for measuring market evolution.
Daily, weekly, or monthly, depending on your use case. Active pricing cases require higher frequency; market analysis cases can be monthly.
Our team monitors every delivery and adapts the extraction when needed. If a change affects the schema, we reach out first with concrete options.
Yes, and it is usually the better call. Most projects start with one city or a handful of neighborhoods to validate that the schema and the deduplication logic answer the question before scaling to the full market.
Yes, we filter by operation type and property type from the start. There is no need to bring in an entire market if your case only needs one specific segment.
Yes. Since every capture is timestamped, we can compare consecutive snapshots and flag price reductions, price increases, or listings that went from active to delisted, which is often the earliest signal of a motivated seller.
Yes, both fall under the same schema. You define which property types matter to your case — apartments, houses, offices, commercial units, land — and we build the coverage around that definition.
CSV, Excel, JSON, via API, or directly to your database. We define the schema and destination at the start based on your product or analysis model.
We cross-reference listings by address, coordinates and attributes (sqm, rooms, price) to detect duplicates across portals before delivering your dataset. Without that deduplication, the same apartment listed on two portals inflates the count of available supply.
Yes, when the portal publishes them or they can be derived from the address. Latitude and longitude are part of the standard schema, so you can plot listings on a map or cross them with other geographic layers.
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Experience
Proven by data
Response time
< 1 hora
Projects delivered
+350
Industries served
+15
Years of experience
+6
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