CurbScoop

The CurbScoop dataset

A property has many records.
We connect the picture.

The listing tells one story. The sale, the building and the block add the rest. CurbScoop brings NYC property data together so you can understand what sits behind an address.

Built around NYC

Core property analysis focuses on Manhattan and Brooklyn. Geographic coverage and available history vary by source; some neighborhood datasets extend across all five boroughs.

Different sources. A shared property identity.

How the pieces fit together

One property, connectedAddress · tax lot · building · unit

NYC identifiers anchor the match. Apartment details help distinguish units within a building.

A clearer property read
  • Comparable sales
  • Price & transaction timelines
  • Building context
  • Nearby market signals
Derived from the connected records

Nearby observations connect by location. A record near a building is not automatically a record about that building.

What we bring together

Eight complementary layers of property context

The marketed property

Listings & price history

Observed asking prices, listing attributes and price changes provide context alongside recorded sales.

  • Asking prices
  • Price changes
  • Listing status
  • Apartment features

SourcesSupported listing and brokerage sources; retained StreetEasy history

StreetEasy collection has stopped; retained observations are historical. An asking price or reported contract status is separate from a recorded closing.

The transaction record

Recorded sales & transfers

Deeds, transfer records and reported sale amounts help put today’s asking prices in context.

  • Sale amounts
  • Transaction dates
  • Recorded parties
  • Document references

SourcesNYC ACRIS and Department of Finance rolling sales

Nominal transfers and records without a usable price are not ordinary market-price comps. Co-op coverage differs from condos.

The capital behind a property

Financing history

Recorded mortgage documents add another layer to a property’s history, including later assignments, modifications and releases.

  • Mortgages
  • Assignments
  • Modifications
  • Releases

SourcesNYC ACRIS mortgage documents and cross references

A recorded mortgage amount is not a current loan balance. Co-op UCC financing is outside this feed.

The common foundation

Property & building identity

City address records and property characteristics connect different descriptions of the same place.

  • Addresses & aliases
  • BBL & BIN identifiers
  • Building class & age
  • Area & zoning

SourcesNYC Property Address Directory, Geoclient and PLUTO

A tax lot, a physical building and an apartment are different entities. Unit identity matters when matching a sale.

The city’s valuation

Tax & assessment records

Tax-roll records provide market and assessed values as a separate reference alongside listings and transactions.

  • Assessment years
  • Market values
  • Assessed values
  • Tax-lot context

SourcesNYC Department of Finance assessments and PLUTO

A city assessment follows tax rules; it is not an estimate of what an apartment would sell for today.

What deserves a closer look

Building condition & work

Permits, violations and reported conditions give buyers and owners more context about a building’s history.

  • DOB permits & violations
  • HPD violations
  • 311 requests
  • Bedbug & rodent records

SourcesNYC DOB, HPD, 311 and health-related public datasets

Complaints are reports, not confirmed findings. Dates and status matter, and records may describe the whole building.

Who represents the listing

Agents & brokerages

Listing contacts and brokerage attribution connect market activity to the people and firms representing properties.

  • Listing agents
  • Brokerage affiliation
  • Listing activity
  • Matched sale outcomes

SourcesRetained listing contacts, brokerage records and matched ACRIS records

Historical listing attribution does not guarantee a current affiliation. A matched outcome does not establish every party’s role in a transaction.

Around the address

Neighborhood context

Nearby businesses, development and transit activity add context beyond the property itself.

  • Restaurant observations
  • Liquor licenses & applications
  • Storefront & housing reports
  • Parks projects & subway ridership

SourcesNYC and New York State public datasets, including DCP, parks and MTA

A new observation is not a confirmed opening. An application is not approval, and station entries are not street foot traffic.

The connection matters as much as the collection.

1

Keep the source context

Preserve document references, source dates and the meaning of each record. Filing dates, sale dates and observation dates can tell different stories.

2

Resolve the property

Normalize addresses and connect them to NYC tax-lot and building identifiers. Use unit details where available; keep uncertain connections separate.

3

Build a useful view

Bring related records into timelines, comparable sales and building summaries. Derived signals help interpret the evidence alongside the original facts.

A few things to keep in view

Coverage is uneven. Not every property has every data type. Missing records do not mean no activity, and a building record does not always identify a specific apartment.

Sources move at different speeds. Listings, recorded documents and city releases follow different schedules. Public records can arrive late or be corrected later.

Facts and signals have different roles. A listing price, a recorded amount and a comparable-based value read are different measures. Connections and summaries should be read with that distinction in mind.

See the data in context.

Start with a building, explore a neighborhood, or read the market.