CRE listings · API · MCP · CSV · no sales call

The listings layer for anything that needs commercial real estate data.

We manage hundreds of thousands of commercial listings so you don't have to: collected, normalized, de-duplicated, geocoded, health-checked and refreshed every week, stale ones retired. Query them from your code, from Claude or ChatGPT, or build a CSV in a minute. No sales call, no annual minimum, prices on the page. Get a key in one email click and try it free.

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Isometric illustration: a warehouse, an office, a retail strip, an apartment block and a vacant parcel feeding one stack of structured listing cards

—active listings

0with broker contacts

—states

weeklyrefresh · every row dated

Three ways in. One key.

REST API

Filter by state, city, zip, type, price, size, acres, bounding box or radius. JSON, GeoJSON or CSV. Cursor pagination, updated_since for diffs.

Endpoint reference →

MCP server

Add https://listingsfeed.com/mcp to Claude, ChatGPT, Cursor or your own agent. Five tools: count, search, get, brokerages, stats.

Connect an assistant →

Pick-and-go builder

Choose filters, watch the live count, pay per record, download CSV or GeoJSON with contacts. No integration.

Open the builder →

GET /v1/listings?state=TX&property_type=industrial&min_sf=50000

{
  "data": [{
    "hash_id": "a91f0c3e5b2d47f1c8e0",
    "name": "Cross-dock distribution facility",
    "address": "4120 Commerce Way", "city": "Fort Worth", "state": "TX",
    "lat": 32.7912, "lng": -97.3521,
    "property_type": "industrial", "transaction_sale": true,
    "building_sf": 184000, "land_acres": 12.4,
    "sale_ask_total": 21500000, "sale_ask_psf": 116.85,
    "brokers": [{"name": "…", "email": "…", "phone": "…"}],
    "brochure_link": "https://…/flyer.pdf",
    "first_seen": "2026-08-02T…", "updated_at": "2026-09-21T…"
  }],
  "meta": {"count": 25, "next_cursor": "…", "records_billed": 25}
}

What is in a record

Address and coordinates, property type and subtype, sale / lease flags, asking price and price per SF, cap rate, building SF, land acres, year built, the listing page, the brochure PDF, the brokerage and the listing brokers with email and phone (paid plans), plus when we first and last saw it.

Full data dictionary with fill rates →

The work you don't have to do

Keeping a commercial listings dataset alive is a full-time job: hundreds of sources in dozens of formats, addresses that need geocoding, the same property published three ways, prices written as "call for offers", listings that quietly disappear. We do that work every week and hand you one clean, de-duplicated, dated table with provenance timestamps on every row, so your engineers build the product instead of the pipeline.

How that compares to Canvassed →

Pricing: 20% below the comparable published rate, no commitment

Free

25 records / mo · names only

Pay as you go

500 records / mo · contacts included

All plans and per-record prices