# Crexi Commercial Real Estate Scraper — No API Key (`jamhimself/crexi-commercial-scraper`) Actor

Scrape Crexi commercial real estate listings to JSON — no login, no API key. Get property name, full address, type, size, broker, status, price & detail attributes (units, year built, zoning, cap rate). Bulk, pay per listing.

- **URL**: https://apify.com/jamhimself/crexi-commercial-scraper.md
- **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community)
- **Categories:** Real estate, Agents, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Crexi Commercial Real Estate Scraper — No API Key

Scrape **Crexi commercial real estate listings** into clean JSON — no login, no API key. Get property name, full address, property type, size, brokerage, status, and per-listing detail attributes (units, year built, zoning, lot size, and price/cap rate when the listing is priced).

Built for reliability: hits Crexi's listing feed directly and is health-monitored daily. Output is structured for CRE research, lead lists, and LLM/RAG pipelines.

### ⚡ Quick start

Paste this into the Actor's **Input** (JSON view) and hit **Start**:

```json
{
  "maxResults": 100,
  "includeDetails": true
}
```

Each result row looks like:

```json
{
  "id": 2630857,
  "name": "Jamestowne Plaza",
  "description": "42-Unit Multi-family | West Linn, OR",
  "propertyTypes": ["Multifamily"],
  "brokerage": "Norris & Stevens",
  "squareFootage": 28160,
  "status": "Active",
  "address": "1700 Blankenship Rd, West Linn, OR 97068",
  "city": "West Linn",
  "state": "OR",
  "zip": "97068",
  "latitude": 45.3523,
  "longitude": -122.6597,
  "details": { "Property Type": "Multifamily", "Units": "42", "Year Built": "1979", "Zoning": "R2.1", "Lot Size (acres)": "2.48" },
  "url": "https://www.crexi.com/properties/2630857/oregon-jamestowne-plaza"
}
```

Or run it from the API:

```
POST https://api.apify.com/v2/acts/jamhimself~crexi-commercial-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
```

### Input options

| Field | Type | Description |
|---|---|---|
| `maxResults` | integer | Max listings to return, newest first (default 100) |
| `includeDetails` | boolean | Fetch each listing's detail attributes (units, year built, zoning, price/cap rate) — default on |
| `filters` | object | Optional Crexi native search filters passed through to the API (property types, geo) |

### Output fields

Every row includes: `id`, `name`, `description`, `propertyTypes`, `brokerage`, `squareFootage`, `status`, `address`/`city`/`state`/`zip`, `latitude`/`longitude`, `isInOpportunityZone`, `activatedOn`/`updatedOn`, `url`. With `includeDetails`: a `details` map (units, year built, zoning, lot size, price/cap rate when priced), `marketingDescription`, `investmentHighlights`, `subtypes`.

### Use cases

- **CRE deal sourcing** — pull active commercial listings with size, type, and location for any market.
- **Broker & market research** — track brokerages, property types, and new listings over time.
- **AI agents & RAG** — feed structured listing rows into agent pipelines (this Actor is agent-payable).

### Related Actors

Doing residential too? See [Redfin Listings Scraper](https://apify.com/jamhimself/redfin-listings-scraper).

***

Found an issue or need another field or filter? **Open an issue on this Actor** — it's actively maintained and issues get fixed fast. If this Actor saves you time, a ⭐ review helps others find it.

# Actor input Schema

## `maxResults` (type: `integer`):

Maximum commercial listings to return (newest first).

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

Fetch each listing's detail page for extra attributes (units, year built, zoning, lot size, price/cap rate when available). Slightly slower.

## `filters` (type: `object`):

Optional Crexi native search filters passed through to the API, e.g. property types or geo. Leave empty for all newest active listings.

## `proxyConfiguration` (type: `object`):

Proxy settings. Apify Proxy (datacenter) is sufficient — the Crexi API is public.

## Actor input object example

```json
{
  "maxResults": 100,
  "includeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

One row per listing: name, address, property type, size, broker, status, detail attributes, URL.

# 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 = {
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("jamhimself/crexi-commercial-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 = { "proxyConfiguration": { "useApifyProxy": True } }

# Run the Actor and wait for it to finish
run = client.actor("jamhimself/crexi-commercial-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 '{
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call jamhimself/crexi-commercial-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jamhimself/crexi-commercial-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/fmur6XcAdJZfYLbhY/builds/bfPtyZ77hXhzZ9mkI/openapi.json