# Metrocuadrado Scraper (`bovi/metrocuadrado-scraper`) Actor

Collect public property listings from Metrocuadrado.com. Search sale or rental listings by city and property type, apply price, area, room, stratum, and radius filters, and export structured listing data.

- **URL**: https://apify.com/bovi/metrocuadrado-scraper.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Real estate, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.10 / 1,000 metrocuadrado scrapers

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

## Metrocuadrado Scraper

Collect public real estate listings from [Metrocuadrado.com](https://www.metrocuadrado.com/), a Colombian property marketplace. The actor reads the listing data rendered on Metrocuadrado search pages and saves structured records for properties offered for sale or rent. It does not require a site login. Each record contains only fields available in the page, such as listing ID and URL, title, operation and property type, price in COP, area, rooms, neighborhood, city, published attributes, location coordinates, and photo URLs. Optional values are omitted when the page does not provide them.

### Input

| Field | Purpose | Default |
| --- | --- | --- |
| `operationType` | `sale` or `rent` | `sale` |
| `propertyType` | Apartment, house, office, commercial, land, warehouse, ranch, parking, or any | `apartment` |
| `city` | Metrocuadrado city slug, such as `bogota`, `medellin`, or `cali` | `bogota` |
| `maxResults` | Maximum records saved across the supplied search pages | `50` |
| `minPrice`, `maxPrice` | Price range in Colombian pesos | not set |
| `minAreaM2`, `maxAreaM2` | Total area range | not set |
| `minRooms`, `minBathrooms`, `stratum` | Minimum room counts or exact socioeconomic stratum | not set |
| `centerLat`, `centerLng`, `radiusKm` | Keep listings within a radius of a map center; provide both coordinates | not set |
| `startUrls` | Optional Metrocuadrado search URLs; these replace the generated city and type search | `[]` |
| `proxyConfiguration` | Optional Apify proxy configuration | disabled |

Example input for apartments for sale in Bogotá:

```json
{
  "operationType": "sale",
  "propertyType": "apartment",
  "city": "bogota",
  "maxResults": 50,
  "proxyConfiguration": {"useApifyProxy": false}
}
```

### Example output

This example is one record parsed from a Metrocuadrado results page. Coordinates, photos, and additional published attributes are included when present.

```json
{
  "id": "21477-C0001-03",
  "url": "https://www.metrocuadrado.com/proyecto/dual-101/21477-C0001-03",
  "title": "Apartamento en Venta, RINCON DEL CHICO, Bogotá D.C.",
  "operationType": "Venta",
  "propertyType": "Apartamento",
  "priceAmount": 1470000000,
  "priceCurrency": "COP",
  "pricePerM2": 10652173.91,
  "areaTotalM2": 138,
  "areaCoveredM2": 138,
  "bedrooms": 3,
  "bathrooms": 3,
  "garages": 1,
  "city": "Bogotá D.C.",
  "neighborhood": "RINCON DEL CHICO",
  "stratum": 6,
  "propertyState": "Nuevo",
  "thumbnail": "https://multimedia.metrocuadrado.com/21477-C0001-03/21477-C0001-03_1_V3_p.jpg"
}
```

### Results and pricing

The default dataset contains one record per listing. `maxResults` is an upper bound; Metrocuadrado may return fewer matching listings on a search page. Multiple search pages can be supplied with `startUrls`, and the same result cap applies across them. The reference base price is **$0.00149 per dataset item** ($1.49 per 1,000 results); Apify pricing tiers may apply different rates.

The actor does not add empty descriptions, fees, or other fields that are not published in the collected result data. Price, area, room, stratum, and radius filters are applied to the returned listings. Coordinates are required for radius filtering, and a listing without coordinates is excluded from that search.

# Actor input Schema

## `operationType` (type: `string`):

Search listings for sale or rent.

## `propertyType` (type: `string`):

Select a property type, or any to search all types.

## `city` (type: `string`):

Metrocuadrado city path, such as bogota, medellin, cali, barranquilla, bucaramanga, or cartagena.

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

Maximum number of listings to save. The limit applies across all supplied start URLs.

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

Keep listings at or above this asking price.

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

Keep listings at or below this asking price.

## `minAreaM2` (type: `number`):

Keep listings whose total area is at least this many square metres.

## `maxAreaM2` (type: `number`):

Keep listings whose total area is no more than this many square metres.

## `minRooms` (type: `number`):

Keep listings with at least this many bedrooms.

## `minBathrooms` (type: `number`):

Keep listings with at least this many bathrooms.

## `stratum` (type: `integer`):

Keep listings in this Colombian socioeconomic stratum.

## `centerLat` (type: `number`):

Latitude of the map center; provide it with centerLng to calculate radius results.

## `centerLng` (type: `number`):

Longitude of the map center; provide it with centerLat to calculate radius results.

## `radiusKm` (type: `number`):

Keep listings within this distance of the map center. Provide both center coordinates.

## `startUrls` (type: `array`):

Optional Metrocuadrado search pages. When set, these pages replace the generated city and property search.

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

Optional Apify proxy settings. Disabled by default; no residential group is forced.

## Actor input object example

```json
{
  "operationType": "sale",
  "propertyType": "apartment",
  "city": "bogota",
  "maxResults": 50,
  "startUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset with the scraped property listings.

# 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 = {
    "operationType": "sale",
    "propertyType": "apartment",
    "city": "bogota",
    "maxResults": 50,
    "startUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/metrocuadrado-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 = {
    "operationType": "sale",
    "propertyType": "apartment",
    "city": "bogota",
    "maxResults": 50,
    "startUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/metrocuadrado-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 '{
  "operationType": "sale",
  "propertyType": "apartment",
  "city": "bogota",
  "maxResults": 50,
  "startUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bovi/metrocuadrado-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/metrocuadrado-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/eDieS53UTfL39i8Op/builds/UgNmUqYAjeanJf4h3/openapi.json