# LatAm Real Estate Feed: Fincaraiz, Metrocuadrado and InfoCasas (`ceibadata/latam-real-estate-feed`) Actor

Property listings from Fincaraiz and Metrocuadrado (Colombia) and InfoCasas (Uruguay, Paraguay, Bolivia) in one clean schema: price, price per m2, area, rooms, stratum, location and amenities. "New or price change" mode for daily monitoring. No personal contact data.

- **URL**: https://apify.com/ceibadata/latam-real-estate-feed.md
- **Developed by:** [Ceiba Data](https://apify.com/ceibadata) (community)
- **Categories:** Real estate, Lead generation
- **Security:** Limited permissions
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 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/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

## LatAm Real Estate Feed: Fincaraiz, Metrocuadrado and InfoCasas

Get property listings from **Fincaraiz and Metrocuadrado (Colombia)** and **InfoCasas (Uruguay, Paraguay and Bolivia)** in one clean, consistent schema. Each row has the price and currency, the price in USD, **price per m²**, areas, bedrooms, bathrooms, parking, socio-economic stratum (Colombia), neighbourhood, city, coordinates and amenities.

Turn on **Only new listings or price changes** and schedule the Actor daily: you get only what is new or changed price since the last run.

### Why use it

- **One schema for four countries.** Same fields whether the listing is in Bogotá, Montevideo, Asunción or Santa Cruz.
- **Price per m² ready to use**, in the local currency and in USD.
- **Monitoring mode** that remembers earlier runs and flags `new` or `price_change` (with `previousPrice`).
- **Fast and light.** Reads the search result pages only (about 21 listings per page), no browser needed.
- **Privacy first.** No phone numbers, e-mails or names of private sellers: phones and e-mails inside descriptions are masked, and private sellers' street addresses are dropped. Agency names are kept.
- **Polite.** Follows each site's robots.txt and waits between pages.

### How to use it

1. Open the portal, choose operation, property type and city (and any filters you like), then copy the URL of the results page. Examples: `https://www.fincaraiz.com.co/venta/apartamentos/bogota` or `https://www.metrocuadrado.com/apartamentos/arriendo/medellin/`. Metrocuadrado shows about 50-65 listings per search page, so the Actor also reads the neighbourhood pages linked from it (each counts as one page in *Maximum pages per search*). Metrocuadrado rows include builder projects (`isProject`, `projectName`); for private sellers, coordinates are rounded to about 1 km.
2. Paste one or more URLs in **Search result URLs**, or send structured searches from the API, for example `{"portal": "infocasas-uy", "operation": "rent", "propertyType": "apartamentos", "location": "montevideo"}`.
3. Set **Maximum listings** and, for monitoring, turn on **Only new listings or price changes**.
4. Run it and export the dataset as JSON, CSV or Excel, or read it from the API.

Supported sites: `www.fincaraiz.com.co`, `www.metrocuadrado.com`, `www.infocasas.com.uy`, `www.infocasas.com.py`, `www.infocasas.com.bo`.

### Output example

```json
{
  "portal": "fincaraiz-co",
  "country": "CO",
  "id": "fincaraiz-co:194207316",
  "url": "https://www.fincaraiz.com.co/apartamento-en-arriendo-en-laureles-medellin/194207316",
  "title": "Apartamento en Arriendo en Laureles, Medellín",
  "operationType": "rent",
  "propertyType": "Apartamento",
  "price": 6000000,
  "currency": "COP",
  "priceUsd": 1896,
  "pricePerM2": 33333.33,
  "area": { "totalM2": 180, "builtM2": 180, "privateM2": 180, "landM2": null },
  "bedrooms": 4,
  "bathrooms": 4,
  "parkingSpaces": 2,
  "stratum": 5,
  "location": { "country": "Colombia", "state": "Antioquia", "city": "Medellín", "zone": "Occidente", "neighbourhood": "Laureles", "latitude": 6.2458959, "longitude": -75.5958794 },
  "facilities": ["Ascensor", "Piscina"],
  "advertiserType": "inmobiliaria",
  "agencyName": "GRUPO INMOBILIARIO SERVIBIENES",
  "changeType": "new",
  "createdAt": "2026-09-03",
  "updatedAt": "2026-10-27"
}
```

### Use cases

- **Investors and analysts**: track asking prices and price per m² by city and neighbourhood.
- **Agencies and proptech**: monitor new listings and price drops with *Only new listings or price changes*.
- **Appraisal and research**: build comparables for Bogotá, Medellín, Montevideo or Asunción.
- **AI agents**: answer "what do 2-bedroom apartments cost in Medellín?" with fresh listings.

### Use with AI agents (MCP)

Every Apify Actor is also a tool for AI agents. Add this Actor to Claude, Cursor, VS Code or any MCP client with the Apify MCP server:

```text
https://mcp.apify.com?tools=ceibadata/latam-real-estate-feed
```

Or run it locally:

```bash
npx -y @apify/actors-mcp-server --tools ceibadata/latam-real-estate-feed
```

Then just ask, for example:

> Get 100 apartments for sale in Medellín (Fincaraíz) and for rent in Montevideo (InfoCasas) with at least 2 bedrooms, and give me the median price per m².

#### Example input (API / AI agents)

```json
{
  "searches": [
    {
      "portal": "fincaraiz-co",
      "operation": "sale",
      "propertyType": "apartamentos",
      "location": "medellin"
    },
    {
      "portal": "infocasas-uy",
      "operation": "rent",
      "propertyType": "apartamentos",
      "location": "montevideo"
    }
  ],
  "maxItems": 100,
  "minBedrooms": 2
}
```

From code, one call returns the results:

```bash
curl -X POST "https://api.apify.com/v2/acts/ceibadata~latam-real-estate-feed/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' -d @input.json
```

### Pricing

You pay per listing delivered. Listings skipped by filters or because they did not change are free.

### FAQ

**Can I use it for price indexes or market studies?** Yes. Use `pricePerM2` and the location fields, and run it on a schedule to build a time series.

**Why are some prices empty?** Some advertisers hide the price; then `price` is `null` and `priceHidden` is `true`.

**Do you include the advertiser's phone?** No. This Actor never returns personal contact data.

**Other portals?** More Latin American portals will be added where their terms and robots.txt allow it. Ask in the Issues tab.

### En español

Avisos inmobiliarios de Fincaraíz y Metrocuadrado (Colombia) e InfoCasas (Uruguay, Paraguay y Bolivia) en un solo formato, con precio por m², área, habitaciones, estrato, ubicación con coordenadas y modo "solo nuevos o con cambio de precio" para monitoreo diario. Sin datos de contacto personales.

Operated by Ceiba Data, an AI-run data studio.

# Actor input Schema

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

Paste search result pages from fincaraiz.com.co, metrocuadrado.com, infocasas.com.uy, infocasas.com.py or infocasas.com.bo (set filters on the site, then copy the URL). Every page of each search is read until the limits below. Metrocuadrado shows about 50-65 listings per search page, so its neighbourhood pages are read too.

## `searches` (type: `array`):

Alternative to URLs: objects like {"portal": "fincaraiz-co", "operation": "sale", "propertyType": "apartamentos", "location": "medellin"}. portal: fincaraiz-co, metrocuadrado-co, infocasas-uy, infocasas-py or infocasas-bo; operation: sale or rent.

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

Stop after delivering this many listings in total.

## `maxPagesPerSearch` (type: `integer`):

Each page has about 21 listings (Metrocuadrado: about 50-65, one page per neighbourhood).

## `onlyNewOrChanged` (type: `boolean`):

Remember what earlier runs delivered for the same searches and return only listings that are new or changed price since then (changeType tells which). Ideal for scheduled daily runs.

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

In the listing's currency.

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

In the listing's currency.

## `minBedrooms` (type: `integer`):

Skip listings with fewer bedrooms.

## `minAreaM2` (type: `integer`):

Private area when available, else built or total area.

## `excludePrivateSellers` (type: `boolean`):

Skip listings published by private owners.

## `delayMs` (type: `integer`):

Polite pause between page requests. Minimum 1000.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.fincaraiz.com.co/venta/apartamentos/bogota"
    }
  ],
  "maxItems": 50,
  "maxPagesPerSearch": 20,
  "onlyNewOrChanged": false,
  "excludePrivateSellers": false,
  "delayMs": 1500
}
```

# Actor output Schema

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

One row per listing: portal, country, URL, operation, property type, price and currency, price in USD, price per m², areas, bedrooms, bathrooms, parking, stratum, location with coordinates, amenities and change type.

## `summary` (type: `string`):

JSON record with delivered, new, priceChanged, skippedUnchanged, filteredOut, pages, bySearch and errors.

# 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 = {
    "startUrls": [
        {
            "url": "https://www.fincaraiz.com.co/venta/apartamentos/bogota"
        }
    ],
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("ceibadata/latam-real-estate-feed").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 = {
    "startUrls": [{ "url": "https://www.fincaraiz.com.co/venta/apartamentos/bogota" }],
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("ceibadata/latam-real-estate-feed").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 '{
  "startUrls": [
    {
      "url": "https://www.fincaraiz.com.co/venta/apartamentos/bogota"
    }
  ],
  "maxItems": 50
}' |
apify call ceibadata/latam-real-estate-feed --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ceibadata/latam-real-estate-feed"
        }
    }
}
```

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/DdHkDqsg5KpjnYzc8/builds/hHHXGnFLDEfjB2GvY/openapi.json