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Building Export: What's in Your Download

Learn what's included in a Marketproof Pro Building Search data export. See every field — from inventory stats and developer info to offering plan pricing — plus how many standard credits it costs to download.

Written by Ning

When you export data from a Building Search on Marketproof Pro, you receive a comprehensive CSV file containing building-level intelligence — everything from basic address info to inventory stats, developer details, and offering plan pricing.

This is one of the most data-rich exports available, because each building record is the culmination of many underlying data points. It includes not just the building's profile, but also key stats on how the building is currently selling.

Credit Cost

Building search exports use standard credits at a rate of 1 credit per 4 building rows. Data exports cannot be paid for with premium credits — only standard credits apply.

Because building-level data is an aggregation of many data points (inventory counts, average pricing, developer info, offering plan details, and more), each row carries more value than a unit-level export, which is why you get fewer rows per credit compared to other export types.

Example: If your plan includes 25 standard credits per month and you use all of them on building exports, you can download up to 100 building records (25 credits × 4 rows per credit).

Fields Included in the Export

Display Name

Field Name

Description

Building Name

name

Marketing or common name of the building (may be blank for unnamed properties).

Street Address

display_full_street_address

Full street address of the building.

Neighborhood

neighborhood

Neighborhood where the building is located.

Major Market

markets_major

Broad geographic market area (e.g., "Downtown West Manhattan").

Submarket

markets_sub

Specific submarket within the major market.

Borough

borough

Borough (e.g., Manhattan, Brooklyn).

City

city

City name.

County

county

County name.

State

state

State abbreviation.

Zip Code

zip

ZIP / postal code.

Ownership Type

ownership_type

Type of ownership structure (e.g., Condo, Co-op, Condop).

Year Built

year_built

Year the building was originally constructed.

Year Converted

year_converted

Year the building was converted to its current ownership type (if applicable).

Year Sales Start

year_sales_start

Year that initial sales launched.

Sales Start Date

sales_start_date

Exact date sales began (MM/DD/YYYY).

Building Effective Start

building_effective_start

Effective start date of the offering plan.

Building Status

building_status

Current status of the building's sales program (e.g., Sponsor, Resale).

First Closing Date

first_closing_date

Date of the first recorded unit closing in the building.

Total Floors

total_floors

Total number of floors in the building.

Total Units

total_units

Total number of units in the building (residential + commercial).

Residential Units

residential_units

Number of residential units only.

Inventory Last Updated

inventory_last_updated

Date the inventory data was last refreshed (MM/DD/YYYY).

Inventory Total

inventory_total

Total number of units tracked in Marketproof's inventory.

Inventory Unsold

inventory_unsold

Number of units currently unsold / available.

Inventory In Contract

inventory_contract

Number of units currently in contract.

Inventory Sold

inventory_sold

Number of units that have closed / sold.

Avg. Listing PPSF

inventory_stats_listings_average_ppsf

Average price per square foot of current listings in the building.

Avg. Transaction PPSF

inventory_stats_transactions_average_ppsf

Average price per square foot of closed transactions in the building.

Sales Office

sales_office

Name of the sales office or team handling sales.

Marketing Company

marketing_company

Brokerage or marketing firm representing the building.

Architect

architect

Architect(s) of the building.

Owner

owner

Legal owner entity of the building.

Developers

developers

Developer(s) responsible for the project.

Notes

notes

Additional notes, often including contact information for the sales team.

Initial Offering Price

offering_price_initial

Total sellout value based on the initial offering plan prices.

Current Offering Price

offering_price_current

Total sellout value based on the most recent/amended offering plan prices.

Common Use Cases

  • Market analysis: Compare buildings across neighborhoods by inventory levels, average PPSF, and sell-through rates.

  • Developer research: Identify which developers and architects are active in specific markets.

  • Sponsor tracking: Monitor which buildings are still in sponsor sales mode vs. resale.

  • Offering plan analysis: Compare initial vs. current offering prices to track price amendments.

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