Crexi Scraper — Commercial Real Estate Listings, Financials & Broker Leads

Scrape Crexi (crexi.com) commercial real estate at scale: for-sale listings, full property details, financials, and listing-broker leads — straight from Crexi's own data API. No login, no cookies, HTTP-only. Built for CRE investors, brokers, analysts, and AI agents.

What it does

Give it a location (state + city) and property types, or paste specific Crexi property URLs, and it returns clean, structured JSON: asking price, property type & sub-types, square footage, lot size, year built, zoning, APN, geo-coordinates, full address, investment highlights, marketing description, and the listing broker(s) with brokerage name, website, license numbers, and Crexi profile.

When to use it

• CRE lead generation — build lists of active commercial listings + their brokers in a market.
• Investor deal sourcing — filter by state, city, and property type; sort by price.
• Market & comp research — pull asking prices, sizes, cap-rate fields, and locations across a metro.
• Broker prospecting — extract broker names, brokerages, websites, and profile links.
• Feeding AI agents — MCP-ready: narrow input, flat structured output.

Not for LoopNet or Apartments.com (CoStar sites) — those require different tooling. This actor targets Crexi specifically.

Output — one record per property

Field	Description
id, url	Crexi asset ID + public listing URL
name, status	Property headline + listing status
propertyTypes, subtypes	Category (Office, Retail, Multifamily…) + sub-types
askingPrice, askingPriceDisplay	Numeric price + formatted string
capRate	Cap rate when the broker publishes it
squareFootage, lotSizeSqFt, units	Building size, lot size, unit count
yearBuilt, yearRenovated, buildings, stories, zoning, apn	Physical + legal detail
address, city, county, state, stateCode, zip, latitude, longitude, fullAddress	Full location + geo
brokerageName, brokers[]	Listing brokerage + broker leads (name, brokerage, website, licenses, profile URL)
investmentHighlights[], marketingDescription	Marketing copy, cleaned of HTML
isInOpportunityZone, isSold, isUnpriced, hasFlyer, hasOM, hasVideo, hasVirtualTour	Status flags
thumbnailUrl, numberOfImages	Media
activatedOn, updatedOn, scrapedAt	Timestamps (ISO 8601)

Pricing — Pay Per Event

• Actor start: $0.00005 per run.
• Listing scraped: $0.005 per listing returned (primary event).
• Detail + broker enrichment: $0.009 per listing when enriched with full detail and/or broker data.

Turn off enrichDetails and includeBrokers for listing-card-only output at $0.005/listing. A 100-listing enriched run costs about $1.40. Pay-Per-Usage (compute + proxy) is also available.

Input

Search mode (default)

{
  "states": ["TX"],
  "cities": ["Austin"],
  "propertyTypes": ["Office", "Retail"],
  "sortBy": "priceHighToLow",
  "includeUnpriced": true,
  "maxResults": 100,
  "enrichDetails": true,
  "includeBrokers": true
}

• states — two-letter state codes. Primary, reliable location filter.
• cities — city names, most precise when paired with the matching state.
• propertyTypes — Retail, Office, Multifamily, Industrial, Land, Hospitality, Special Purpose, Mixed Use, Self Storage, Business for Sale.
• sortBy — relevance, priceLowToHigh, priceHighToLow.
• maxResults — hard cap (0 = unlimited).

Detail mode

Paste Crexi property URLs or bare asset IDs — the actor scrapes exactly those:

{
  "startUrls": [
    "https://www.crexi.com/properties/2610175/texas-4700-barbara-rd-river-oaks",
    "2586166"
  ],
  "enrichDetails": true,
  "includeBrokers": true
}

Usage examples

Apify API (JavaScript)

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('khadinakbar/crexi-scraper').call({
  states: ['CA'], cities: ['Los Angeles'], propertyTypes: ['Multifamily'], maxResults: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Apify API (Python)

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("khadinakbar/crexi-scraper").call(run_input={
    "states": ["FL"], "cities": ["Miami"], "propertyTypes": ["Retail"], "maxResults": 50
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["askingPriceDisplay"])

MCP / AI agents

Exposed as apify--crexi-scraper in the Apify MCP server. Narrow input, flat JSON output — ideal for Claude, GPT, and other agents doing CRE research and lead generation.

FAQ

Does it get broker email/phone? Crexi does not expose direct broker contact publicly — it routes messages through in-app chat. The actor returns broker name, brokerage, brokerage website, license numbers, and Crexi profile link, which are enough to reach the broker.

Why state + city instead of a free-text search box? Crexi's free-text search does not reliably filter by location. State + city filters are precise and dependable, so the actor uses those.

Does it cover for-lease listings? This version targets for-sale commercial listings, the largest Crexi inventory.

How fast is it? It calls Crexi's JSON API directly (no browser), so runs are fast. Enrichment adds ~2 requests per listing.

Legal

This actor collects only publicly available data from Crexi's public endpoints and performs no login or access-control circumvention. You are responsible for using the output in compliance with Crexi's Terms of Service, applicable laws, and data-protection regulations (including how you contact brokers). Use for legitimate business research and lead generation. Not affiliated with or endorsed by Crexi or CoStar.