# Crexi Scraper: Commercial Real Estate Listings & Brokers (`scrapemint/crexi-property-scraper`) Actor

Commercial property for sale on Crexi: asking price, cap rate, square footage, address, property details, auction and offers-due dates, plus the listing brokers and brokerage. Filter by state, property type, price and cap rate. LoopNet alternative for CRE investors and brokers.

- **URL**: https://apify.com/scrapemint/crexi-property-scraper.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 property listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Crexi Scraper: Commercial Real Estate Listings & Brokers

**Commercial property for sale on Crexi, with the brokers behind each listing.** Search by state, property type, price and cap rate, and get one row per listing:

- **Deal:** asking price, cap rate, NOI, square footage, price per sq ft, status (on-market, auction), offers-due date
- **Property:** full address, coordinates, county, subtypes, year built, lot size, zoning, tenancy, ownership and the rest of Crexi's facts table
- **Story:** investment highlights and marketing description
- **Brokers:** name, brokerage, license numbers and states, brokerage website, number of active listings

Covers every type Crexi lists: **retail (NNN, Dollar General, gas stations), office, industrial, multifamily, land, mixed use, hospitality, self storage, mobile home parks, senior living, special purpose, businesses for sale and notes**. A **LoopNet alternative** for CRE investors, 1031 exchange buyers, brokers and lenders.

No login, no key, no proxy.

### What you get

`id`, `name`, `url`, `status`, `propertyTypes`, `subtypes`, `headline`, `askingPrice`, `capRatePct`, `noi`, `squareFootage`, `pricePerSqft`, `yearBuilt`, `lotSizeAcres`, `address`, `city`, `county`, `state`, `zip`, `fullAddress`, `latitude`, `longitude`, `brokerageName`, `listedAt`, `updatedAt`, `offersDueAt`, `opportunityZone`, `hasOfferingMemorandum`, `details`, `investmentHighlights`, `marketingDescription`, `brokers`, `brokerOfRecord`, `thumbnailUrl`

### Example input

Retail in Texas and Florida at a 7% cap rate or better:

```json
{
  "states": ["TX", "FL"],
  "propertyTypes": ["Retail"],
  "minCapRate": "7",
  "maxListings": 200
}
```

Newest Dollar General listings nationwide under $2M:

```json
{
  "searchTerm": "Dollar General",
  "maxPrice": 2000000,
  "sort": "newest"
}
```

### Example output

```json
{
  "id": 2755098,
  "name": "Gas Station & C-Store – 15 Year Absolute Net",
  "url": "https://www.crexi.com/properties/2755098/texas-gas-station-c-store-15-year-absolute-net",
  "status": "On-Market",
  "propertyTypes": ["Retail"],
  "subtypes": ["Convenience Store", "Gas Station"],
  "askingPrice": 7400000,
  "squareFootage": 7260,
  "pricePerSqft": 1019.28,
  "lotSizeAcres": 1.02,
  "fullAddress": "1960 Road West, Houston, TX 77090",
  "latitude": 30.0158272,
  "longitude": -95.4470037,
  "brokerageName": "CrownPoint Partners",
  "listedAt": "2026-10-19T20:43:07.487Z",
  "details": {
    "Asking Price": "$7,400,000",
    "Property Type": "Retail",
    "Sub Type": "Convenience Store, Gas Station",
    "Square Footage": "7,260",
    "Lot Size (acres)": "1.02",
    "Ground Lease": "No"
  },
  "investmentHighlights": "• Brand New 15 Year Absolute Net Lease\n• Attractive Annual 2% Rent Increases in Base Term and Options\n• Attractive Opportunity for 1031 Exchange Buyers...",
  "brokers": [
    {
      "name": "Julius Swolsky",
      "brokerage": "CrownPoint Partners",
      "brokerageCity": "West Palm Beach",
      "brokerageState": "FL",
      "licenses": ["CA 02074212"],
      "crexiProfileId": "juliuss",
      "activeListings": 831
    }
  ]
}
```

### Uses

- **Deal sourcing:** new listings that fit your buy box, every morning
- **1031 exchange:** NNN retail and single-tenant deals by cap rate and price
- **Broker prospecting:** who lists what, where, and how many active listings they carry
- **Market comps:** asking price per sq ft and cap rates by state and property type
- **Alerts:** schedule it daily with `"sort": "newest"` and send new rows to Slack or email

### Pricing

- **$0.002** per listing
- No start fee. A run that finds nothing is free.

1,000 listings with details and brokers cost $2.00.

### Notes

- Crexi returns up to 1,500 listings per search. Several states or types run as one search each, so `["TX", "FL", "CA"]` can reach 4,500. `maxListings` is split evenly across them.
- Some facts (occupancy, APN, tenancy) are hidden from logged-out users on some listings; those are left out rather than returned as asterisks.
- `capRatePct` comes from the listing facts or headline when the broker states one. The `minCapRate` filter uses Crexi's own cap-rate field.
- For sale listings only. Lease listings are not included.

# Actor input Schema

## `searchTerm` (type: `string`):

Free text, e.g. a city, county, tenant name or property kind: Austin, Dollar General, car wash, NNN.

## `states` (type: `array`):

Two-letter US state codes, e.g. TX, FL, CA. Empty = nationwide.

## `propertyTypes` (type: `array`):

Empty = all types.

## `minPrice` (type: `integer`):

Empty = no minimum.

## `maxPrice` (type: `integer`):

Empty = no maximum.

## `minCapRate` (type: `string`):

e.g. 7 or 6.5. Listings without a stated cap rate are left out when this is set.

## `includeUnpriced` (type: `boolean`):

Listings with no asking price (price on request, auctions without a starting bid). Ignored when a price filter is set.

## `sort` (type: `string`):

Newest = most recently listed first.

## `includeDetails` (type: `boolean`):

Open each listing for the property facts (year built, lot size, zoning, NOI, tenancy...), investment highlights and the listing brokers with license and brokerage. Off = search data only, faster.

## `maxListings` (type: `integer`):

Stop after this many listings, split evenly across the state and type combinations. Crexi returns up to 1,500 per search; each state/type combination is its own search.

## Actor input object example

```json
{
  "states": [
    "TX"
  ],
  "propertyTypes": [],
  "includeUnpriced": true,
  "sort": "newest",
  "includeDetails": true,
  "maxListings": 100
}
```

# Actor output Schema

## `listings` (type: `string`):

Name, URL, status, type, asking price, cap rate, square footage, price per sq ft, address, coordinates, details, highlights, brokers.

## `summary` (type: `string`):

Matching listings per search and rows written.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "states": [
        "TX"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/crexi-property-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "states": ["TX"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/crexi-property-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "states": [
    "TX"
  ]
}' |
apify call scrapemint/crexi-property-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapemint/crexi-property-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/B3a2oXLmOCNd4hclI/builds/2LiLPOEcL5C1MmsyB/openapi.json