# Crexi Property & Enrichment Broker Data Scraper (`adventurous_nut/crexi-scrape`) Actor

Scrape Crexi commercial real estate listings by city or state. Extract property details, address, price, phone, email, property type, broker/agent information, first name, last name,  when available, location, listing dates, and image URLs. Export clean data directly to Apify Dataset.

- **URL**: https://apify.com/adventurous\_nut/crexi-scrape.md
- **Developed by:** [abdelhafid hasnaoui](https://apify.com/adventurous_nut) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 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.

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 Property Data Extractor

Extract commercial real estate listings from Crexi by **city or state**.

The Actor collects property information together with available **broker/agent contact and location data**, including agent first name, last name, phone, email, and address.

### Input

Enter a **city or state** as the search location.

Example:

```json
{
  "location": "California"
}
```

or:

```json
{
  "location": "Los Angeles"
}
```

### Output

Each result contains property information and available broker/agent data.

#### Agent / Broker Information

The Actor can return:

- `firstName` — Agent first name
- `lastName` — Agent last name
- `phone` — Agent phone number
- `email` — Agent email address, when available
- `brokerAgentName` — Broker or company name
- `brokerAgentLocation` — Agent/broker location
- `fullAddress` — Property address

#### Property Information

The output can also include:

- Property ID
- Property name
- Property price
- Property type
- Building square footage
- Number of buildings
- Number of stories
- Lot size
- Property address
- Latitude / longitude
- Listing creation date
- Listing update date
- Listing activation date
- Property images

### Example Output

```json
{
  "id": "sales-2599446",
  "brokerAgentName": [
    "DARK KNIGHT REALTY LLC",
    "Commercial Real Estate Exchange"
  ],
  "firstName": [
    "James",
    "Audrey"
  ],
  "lastName": [
    "Ife",
    "Hanna"
  ],
  "phone": [
    "917.656.5405",
    "518.625.8581"
  ],
  "email": [
    "user@crexi.com",
    "user@crexi.com"
  ],
  "brokerAgentLocation": [
    {
      "address": "4086 Del Rey Ave",
      "city": "Marina Del Rey",
      "country": "United States",
      "state": {
        "code": "CA",
        "name": "California"
      },
      "zip": "90292"
    }
  ],
  "fullAddress": [
    "69 N 9th St, Brooklyn, NY 11249"
  ],
  "propertyName": "Rare Redevelopment Opportunity in Williamsburg - N 9th St",
  "propertyPrice": 7000000
}
```

### Agent Data Enrichment

For each listing, the Actor extracts the available agent/broker information associated with the property.

The enrichment fields include:

| Field                 | Description                        |
| --------------------- | ---------------------------------- |
| `firstName`           | Agent first name                   |
| `lastName`            | Agent last name                    |
| `phone`               | Agent phone number                 |
| `email`               | Agent email address when available |
| `brokerAgentName`     | Broker/company name                |
| `brokerAgentLocation` | Agent/broker location              |
| `fullAddress`         | Property address                   |

If a listing has multiple agents, the corresponding fields may contain multiple values.

### Important

The availability of agent contact information depends on the data provided by Crexi for each listing. Some listings may not contain an email or phone number.

### Use Cases

This Actor can be used for:

- Commercial real estate lead generation
- Broker and agent research
- Property market research
- Real estate data collection
- Property prospecting
- Building custom real estate datasets
- Exporting listing data to CSV, Excel, or JSON

### Apify Dataset

All scraped listings are automatically stored in the Apify Dataset.

You can export the results in:

- JSON
- CSV
- Excel
- XML
- RSS

### Support

For questions, custom fields, or additional scraping requirements, contact the Actor developer.

# Actor input Schema

## `search_state` (type: `array`):

search state to start with

## `MaxItems` (type: `integer`):

Max pages to scrape

## Actor input object example

```json
{
  "search_state": [
    {
      "url": "https://propwire.com/search?filters=%7B%22locations%22%3A%5B%7B%22searchType%22%3A%22T%22%2C%22state%22%3A%22CA%22%2C%22title%22%3A%22California%2C%20USA%22%2C%22stateName%22%3A%22California%22%7D%5D%7D"
    }
  ],
  "MaxItems": 5
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "search_state": [
        {
            "url": "https://propwire.com/search?filters=%7B%22locations%22%3A%5B%7B%22searchType%22%3A%22T%22%2C%22state%22%3A%22CA%22%2C%22title%22%3A%22California%2C%20USA%22%2C%22stateName%22%3A%22California%22%7D%5D%7D"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("adventurous_nut/crexi-scrape").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 = { "search_state": [{ "url": "https://propwire.com/search?filters=%7B%22locations%22%3A%5B%7B%22searchType%22%3A%22T%22%2C%22state%22%3A%22CA%22%2C%22title%22%3A%22California%2C%20USA%22%2C%22stateName%22%3A%22California%22%7D%5D%7D" }] }

# Run the Actor and wait for it to finish
run = client.actor("adventurous_nut/crexi-scrape").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 '{
  "search_state": [
    {
      "url": "https://propwire.com/search?filters=%7B%22locations%22%3A%5B%7B%22searchType%22%3A%22T%22%2C%22state%22%3A%22CA%22%2C%22title%22%3A%22California%2C%20USA%22%2C%22stateName%22%3A%22California%22%7D%5D%7D"
    }
  ]
}' |
apify call adventurous_nut/crexi-scrape --silent --output-dataset

```

## MCP server setup

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

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/8w3oJp10klOQMgMEE/builds/H2cbHCgHBE8XSvruE/openapi.json