# Commercial Real-Estate Listing Aggregator (`slate_spool/commercial-real-estate-listing-aggregator`) Actor

Scrapes and aggregates commercial real-estate re-listings from public sources. Returns structured data including listing ID, title, price, address, square footage, property type, and description. Ideal for investors, brokers, and analysts tracking commercial property market activity.

- **URL**: https://apify.com/slate\_spool/commercial-real-estate-listing-aggregator.md
- **Developed by:** [Wes Shields](https://apify.com/slate_spool) (community)
- **Categories:** Real estate, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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/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

## Commercial Real-Estate Listing Aggregator

Scrapes and aggregates commercial real-estate re-listings from public sources. Returns structured data including listing ID, title, price, address, square footage, property type, and description. Ideal for investors, brokers, and analysts tracking commercial property market activity.

### Features

- Structured JSON output with full listing details
- Canonical detail URLs for each listing
- Rate-limited and cost-capped runs
- Polite scraping that respects source ToS

### Use Cases

- Commercial real estate investment analysis
- Market trend tracking for CRE properties
- Automated listing monitoring and alerts
- Due diligence data enrichment

### FAQ

**Q: What data sources does this actor use?**
A: Public commercial real estate listing sites. All sources are legal and publicly accessible.

**Q: How fresh is the data?**
A: Each run fetches live data. Schedule runs as frequently as you need.

**Q: Can I filter by property type or price range?**
A: Yes — use the input schema filters to narrow results.

# Actor input Schema

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

Public listing types to aggregate. Commercial is the default; land is optional.

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

Optional two-letter US state codes, for example TX or CA.

## `maxItems` (type: `integer`):

Hard output and charge-event cap.

## `maxRequests` (type: `integer`):

Hard request cap including robots.txt and detail calls.

## `maxRunSecs` (type: `integer`):

Hard source-work wall-clock cap.

## `requestDelayMs` (type: `integer`):

Polite sequential delay. The source permits 60 reads/min; this Actor defaults to 20/min and rejects faster than 30/min.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout.

## `maxRequestAttempts` (type: `integer`):

Bounded attempts per HTTP request, including the first attempt.

## `failOnAnyError` (type: `boolean`):

When enabled, any explicit record error makes the Actor exit nonzero after writing structured evidence.

## `includeRunUsage` (type: `boolean`):

Include request and cap counters on every listing record.

## Actor input object example

```json
{
  "propertyTypes": [
    "commercial",
    "land"
  ],
  "states": [],
  "maxItems": 25,
  "maxRequests": 30,
  "maxRunSecs": 180,
  "requestDelayMs": 3000,
  "requestTimeoutSecs": 30,
  "maxRequestAttempts": 3,
  "failOnAnyError": true,
  "includeRunUsage": true
}
```

# Actor output Schema

## `dataset` (type: `string`):

Structured listings

## `runSummary` (type: `string`):

Run summary and meter

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("slate_spool/commercial-real-estate-listing-aggregator").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("slate_spool/commercial-real-estate-listing-aggregator").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 '{}' |
apify call slate_spool/commercial-real-estate-listing-aggregator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=slate_spool/commercial-real-estate-listing-aggregator",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zEHwi4m21qz6kHAW6/builds/fDCNRnjbB4JV78TQZ/openapi.json