# Crexi Commercial Real Estate Listings Scraper (`scrapers_lat/crexi-scraper`) Actor
Scrape Crexi commercial real estate listings: asking price, address, property type, size, broker name and license. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/crexi-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
[](https://console.apify.com/actors/B1aVwG4Eqad5KNcUq/input)
## Crexi Commercial Real Estate Listings Scraper
> Extract commercial real estate listings from Crexi across the entire United States, with asking price, location, property type, size and broker contact details from a catalog of more than 240,000 active listings.
30+ fields per record
US nationwide coverage
JSON / CSV / Excel output formats
Updated 2026-06-28
### What you get
One record per commercial property listing, with the price, full location, property classification and the broker behind the deal, ready for market research, lead lists, comp analysis and investment sourcing.
- **imageUrl**: listing thumbnail
- **name**: listing title
- **status**: listing status (for example On-Market)
- **url**: link to the listing on Crexi
- **id**: Crexi asset ID
- **askingPrice**: asking price in US dollars
- **currency**: price currency
- **address**, **fullAddress**: street address and the full one-line address
- **city**, **county**, **state**, **stateName**, **zip**: location breakdown
- **latitude**, **longitude**: geo coordinates
- **propertyTypes**: property categories (Office, Retail, Industrial, Land, Multifamily and more)
- **squareFootage**: building size when listed
- **lotSize\***: lot size in acres
- **capRate\***: capitalization rate when published
- **yearBuilt\***: year the property was built
- **zoning\***: permitted zoning code
- **tenancy\***: single or multi tenant
- **subtypes\***: property subtypes
- **apn\***: assessor parcel number when published
- **isInOpportunityZone**: whether the property sits in an opportunity zone
- **brokerageName**: listing brokerage
- **brokers\***: array of brokers with name, brokerage and license number
- **marketingDescription**: listing description
- **observedAt**: when this listing was last seen by the scraper
*\*These fields only appear when withDetails is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Building broker and brokerage lead lists | CRE service providers and lenders |
| Sourcing investment and acquisition targets | Investors, funds and developers |
| Sale comps and price benchmarking | Appraisers and analysts |
| Local market and absorption studies | Researchers and economic development teams |
| Feeding listings into a CRM or data warehouse | Proptech and data teams |
### Frequently Asked Questions
**What does this Crexi scraper cover?**
It covers Crexi for-sale commercial real estate listings across the United States, more than 240,000 active assets at the time of writing. You can pull everything or narrow by property type, state, asking price range or a free-text query.
**How many listings can I collect in one run?**
As many as you set in Max Items. The scraper paginates through Crexi search results, so you can collect a handful for testing or tens of thousands for a full market pull.
**Can I filter by property type, location or price?**
Yes. Filter by one or more property types (Office, Retail, Industrial, Land, Multifamily and more), a US state code, a minimum and maximum asking price, and a free-text search query. All filters are optional and can be combined.
**Does it include broker contact details?**
Each listing returns the brokerage name, plus an array of brokers with their name and real estate license number when withDetails is enabled. Crexi does not expose broker email or phone (contact runs through an on-site form), so the broker name, license and brokerage are the contact identifiers it captures.
**What happens with unpriced listings or missing fields?**
Unpriced listings are included by default and excluded automatically when you set a minimum price. Fields like cap rate, APN, year built and zoning are only present when the broker published them, so they appear when available and are left empty otherwise.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Crexi Multifamily Investment Properties](https://apify.com/scrapers_lat/crexi-scraper/examples/crexi-multifamily-investment-properties): Extract multifamily and apartment investment listings on Crexi with price, units, cap rate and broker contact.
- [Crexi Office Buildings for Sale](https://apify.com/scrapers_lat/crexi-scraper/examples/crexi-office-buildings-for-sale): Scrape office building listings for sale on Crexi with price, address, square footage, cap rate and broker contact.
- [Crexi Retail Properties for Sale](https://apify.com/scrapers_lat/crexi-scraper/examples/crexi-retail-properties-for-sale): Pull retail commercial real estate listings on Crexi with asking price, location, size and listing broker details.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [BizQuest Businesses-for-Sale Listings Scraper](https://apify.com/scrapers_lat/bizquest-scraper): Extract businesses and franchises for sale with asking price, cash flow and location.
- [InfoCasas Real Estate Listings Scraper](https://apify.com/scrapers_lat/infocasas-scraper): Scrape property listings across InfoCasas LATAM markets with price, location and features.
- [Urbania Peru Property Listings Scraper](https://apify.com/scrapers_lat/urbania-scraper): Extract Urbania property listings for sale and rent with price, area and agent details.
- [Adondevivir Peru Property Listings Scraper](https://apify.com/scrapers_lat/adondevivir-scraper): Scrape Adondevivir real estate listings with price, location and property attributes.
- [Encuentra24 Real Estate Listings Scraper](https://apify.com/scrapers_lat/encuentra24-scraper): Extract Encuentra24 property listings across Central America with price and location.
- [MercadoLibre Product Listings Scraper](https://apify.com/scrapers_lat/mercadolibre-scraper): Scrape MercadoLibre listings including real estate with price, location and seller data.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Crexi. It only accesses data that is publicly available on the platform. Use it in accordance with Crexi's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of listings to collect. Optional.
## `withDetails` (type: `boolean`):
When enabled, each listing is enriched with detail-page fields (APN, lot size, year built, cap rate when present) and the broker list (name, brokerage, license number).
## `searchQuery` (type: `string`):
Free-text search across listing titles, addresses and descriptions (e.g. warehouse, medical office, gas station). Leave empty to browse all listings.
## `types` (type: `array`):
Filter by one or more property types.
## `state` (type: `string`):
Two-letter US state code to limit listings to (e.g. TX, CA, FL).
## `minPrice` (type: `integer`):
Only return listings at or above this asking price. Unpriced listings are excluded when set.
## `maxPrice` (type: `integer`):
Only return listings at or below this asking price.
## `proxyConfiguration` (type: `object`):
Optional. The Crexi data API works without a proxy; a residential proxy is cheap insurance against geo or rate limits.
## Actor input object example
```json
{
"maxItems": 50,
"withDetails": true,
"types": [],
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 50,
"proxyConfiguration": {
"useApifyProxy": false
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/crexi-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxItems": 50,
"proxyConfiguration": { "useApifyProxy": False },
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/crexi-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 50,
"proxyConfiguration": {
"useApifyProxy": false
}
}' |
apify call scrapers_lat/crexi-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/crexi-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Crexi Commercial Real Estate Listings Scraper",
"description": "Scrape Crexi commercial real estate listings: asking price, address, property type, size, broker name and license. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "kHLuj91FMjIAqbEBz"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~crexi-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-crexi-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~crexi-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-crexi-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~crexi-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-crexi-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of listings to collect. Optional."
},
"withDetails": {
"title": "Fetch full details and brokers",
"type": "boolean",
"description": "When enabled, each listing is enriched with detail-page fields (APN, lot size, year built, cap rate when present) and the broker list (name, brokerage, license number).",
"default": true
},
"searchQuery": {
"title": "Search query",
"type": "string",
"description": "Free-text search across listing titles, addresses and descriptions (e.g. warehouse, medical office, gas station). Leave empty to browse all listings."
},
"types": {
"title": "Property types",
"type": "array",
"description": "Filter by one or more property types.",
"items": {
"type": "string",
"enum": [
"Office",
"Retail",
"Industrial",
"Land",
"Multifamily",
"Hospitality",
"Mixed Use",
"Special Purpose",
"Self Storage",
"Business for Sale"
]
},
"default": []
},
"state": {
"title": "State",
"type": "string",
"description": "Two-letter US state code to limit listings to (e.g. TX, CA, FL)."
},
"minPrice": {
"title": "Minimum asking price (USD)",
"minimum": 0,
"type": "integer",
"description": "Only return listings at or above this asking price. Unpriced listings are excluded when set."
},
"maxPrice": {
"title": "Maximum asking price (USD)",
"minimum": 0,
"type": "integer",
"description": "Only return listings at or below this asking price."
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Optional. The Crexi data API works without a proxy; a residential proxy is cheap insurance against geo or rate limits."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```