ai huntt

Reonomy

Paid

Search and filter commercial real estate records to identify property owners behind LLCs, analyze building characteristics and transaction history, and export contact data for off-market deal sourcing.

About

Reonomy is a data and analytics tool for commercial real estate work. It pulls together public records from over 3,000 counties and matches them into one clean record per property.

The core job is finding who really owns a building. It pierces through LLCs and shell companies to get you names, phones, and emails you can actually use.

You get 200+ filters to narrow 53 million properties down to a short list of targets. The data includes sales history, debt records, loan maturity dates, and building specs.

Open it if you prospect off-market deals or need owner contact data. Skip it if you need lease comps or work in small rural markets where data is thin.

Who Reonomy is best for

It fits when your work depends on knowing who owns what and how to reach them.

  • Commercial real estate brokers who need comprehensive property intelligence: You walk into client meetings with ownership trees and debt data already pulled. That preparation shows.
  • Investors and developers researching off-market opportunities: You filter for properties "likely to sell" based on loan maturities and ownership tenure. You find deals before they list.
  • Brokers looking for new listing opportunities and owner contact data: You skip the hunting through county records. The owner contacts come attached to the property record.
  • CRE professionals who need to build targeted outreach campaigns: You export lists with phones and emails already gathered. Your calls start with the right person.
  • Commercial debt brokers researching lender portfolios: You search by lender name and loan origination date. You find refinances and maturities coming due.
  • Capital markets professionals tracking mortgage origination and maturity dates: You monitor CMBS loans and debt positions across markets. You time your outreach to the event.
  • Roofers and contractors seeking targeted lead lists by building age: You filter by year built and property type. You focus on buildings likely needing your service.
  • Enterprise CRE firms wanting API-fed data in internal systems: You pipe Reonomy data straight into your CRM or underwriting tools. Your team works from one source.

Best things about Reonomy

These are the parts that keep you opening it.

  • Ownership piercing through LLC layers: It connects shell companies to real people. You stop dead-ending at legal entity names.
  • "Likely to sell" predictive scores: It flags properties based on debt position and ownership history. You prioritize your calls.
  • Loan maturity and CMBS data: You see when debt comes due. You catch owners at decision points.
  • Fast, visual search interface: You draw polygons on a map and filter down in minutes. You spend less time clicking, more time calling.
  • Pre-attached contact database: Owner phones and emails are already on the record. You skip separate skip-trace services.

How you use Reonomy

The flow is straight once you know your target.

  1. Log in and choose your geography—draw a radius, polygon, or pick metro areas.
  2. Add filters: property type, size, ownership tenure, debt position, or "likely to sell" score.
  3. Review the list and click into properties to see ownership trees and contact details.
  4. Export your list or sync to your CRM for outreach.

Why you should ignore it

Skip it when the gaps matter to your work.

  • Contact accuracy drops in smaller markets: You hit dead numbers and outdated emails outside major metros. You still need backup verification.
  • No commercial lease comps or cap rate data: You cannot pull rent rolls or NOI for underwriting. You need another source for fundamentals.
  • Opaque pricing and sticky contracts: You face annual auto-renewals and sales-only quotes. Canceling takes weeks and persistence.
  • $400-500 per seat for paid tiers: You pay enterprise prices. Solo operators and small teams feel the squeeze.

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