# Properati Real Estate Listings Scraper (LATAM) (`scrapers_lat/properati-scraper`) Actor
Scrape Properati real estate listings across Argentina, Colombia, Peru and Ecuador. Extract price, currency, operation, property type, bedrooms, bathrooms, area, location, agent phone, WhatsApp and coordinates. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/properati-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (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 $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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
[](https://console.apify.com/actors/QslRATdbY3RLCezFl/input)
## Properati Real Estate Listings Scraper (LATAM)
> Extract real estate listings from Properati across Latin America, with prices, areas, locations and agent details from over 100,000 properties per market
18 fields per record
Latin America coverage
JSON / CSV / Excel output formats
### What you get
Each record is one property listing from a Properati search, ready for market analysis, lead generation or price monitoring. The fields below come straight from the live listings:
- **imageUrl**: main photo of the property
- **title**: listing headline, for example "Casa en Venta en Lujรกn"
- **price**: numeric asking price
- **currency**: currency of the price (USD, ARS, COP, PEN and others)
- **operationType**: venta or alquiler
- **propertyType**: casa, departamento, oficina, terreno and similar
- **bedrooms**: number of bedrooms
- **bathrooms**: number of bathrooms
- **totalAreaM2**: surface area in square metres
- **location**: neighbourhood, city and region as shown on the card
- **city**: city or locality of the property
- **url**: direct link to the listing detail page
- **listingId**: unique Properati identifier for the listing
- **description\***: full listing description text
- **amenities\***: list of features such as garage, patio, air conditioning
- **images\***: full photo gallery of the property
- **publisher\***: agency or agent name and profile URL
- **agentPhone\***: agent or agency contact phone in + format
- **agentWhatsapp\***: agent or agency WhatsApp number in + format
- **coordinates\***: latitude and longitude of the property
- **observedAt**: when this listing was last seen by the scraper
*\*These fields only appear when withDetails is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Price and inventory monitoring | Real estate analysts and investors |
| Lead generation from agencies | Brokers and proptech sales teams |
| Comparative market analysis | Appraisers and valuation firms |
| Building property datasets | Data teams and researchers |
| Tracking new developments | Developers and marketing agencies |
### Frequently Asked Questions
**Which countries and Properati sites does this scraper cover?**
It works on any Properati country domain, including Argentina (.com.ar), Colombia (.com.co), Peru (.com.pe) and Ecuador (.com.ec). Paste a search URL from the country you want and the scraper follows that market, which often holds over 100,000 listings.
**How many listings can I collect in one run?**
You set the Max Items value. The scraper walks through the search results page by page (30 listings per page) until it reaches your limit or runs out of results, so you can collect anywhere from a handful to tens of thousands.
**How do I control which listings are scraped?**
Apply any filters you want on the Properati website (operation, property type, location, price) and paste the resulting search URL into the Search URL field. The scraper reads exactly that search, in the same order the site shows it.
**What extra data does the detail option add?**
When withDetails is enabled, each listing's detail page is opened to add the full description, amenities, complete image gallery, the publishing agency and the map coordinates. With it off, only the listing-level fields are collected, which is faster.
**What happens to listings with missing prices or room counts?**
Some Properati listings hide the price ("Consultar precio") or omit bedroom, bathroom or area figures. Those fields are returned as null for that record while every other available field is still filled, so the dataset stays complete and easy to filter.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Properati Bogota Apartments for Sale Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-bogota-apartments-for-sale): Scrape apartments for sale in Bogota from Properati with price, area, rooms and agent contacts for real estate analysis.
- [Properati Bogota Apartments for Rent Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-bogota-apartments-for-rent): Extract apartments for rent in Bogota from Properati with price, location and agent details for renters and brokers.
- [Properati Medellin Apartments for Rent Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-medellin-apartments-for-rent): Scrape apartments for rent in Medellin from Properati with price, area and agent contacts for market research.
- [Properati Medellin Houses for Sale Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-medellin-houses-for-sale): Extract houses for sale in Medellin from Properati with asking price, area and agent details for investors and appraisers.
- [Properati Cali Houses for Rent Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-cali-houses-for-rent): Scrape houses for rent in Cali from Properati with price, location and agent contacts for renters and real estate teams.
- [Properati Buenos Aires Apartments for Rent Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-buenos-aires-apartments-rent): Extract apartments for rent in Buenos Aires from Properati with price, area and agent data for renters and analysts.
- [Properati Buenos Aires Houses for Sale Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-buenos-aires-houses-sale): Scrape houses for sale in Buenos Aires from Properati with asking price, area and agent contacts for investors.
- [Properati Lima Apartments for Sale Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-lima-apartments-for-sale): Extract apartments for sale in Lima from Properati with price, area, rooms and agent details for real estate research.
- [Properati Lima Apartments for Rent Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-lima-apartments-for-rent): Scrape apartments for rent in Lima from Properati with price, location and agent contacts for renters and brokers.
- [Properati Quito Houses for Sale Scraper](https://apify.com/scrapers_lat/properati-scraper/examples/properati-quito-houses-for-sale): Extract houses for sale in Quito from Properati with asking price, area and agent details for investors and appraisers.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [InfoCasas Real Estate Listings Scraper](https://apify.com/scrapers_lat/infocasas-scraper): Scrape Infocasas real estate listings across Uruguay, Paraguay and more. Extract price, currency...
- [Urbania Peru Property Listings Scraper](https://apify.com/scrapers_lat/urbania-scraper): Scrape Urbania property listings in Peru. Extract price, currency, operation, property type...
- [Adondevivir Peru Property Listings Scraper](https://apify.com/scrapers_lat/adondevivir-scraper): Scrape Adondevivir property listings in Peru. Extract price, currency, operation, property type...
- [MercadoLibre Product Listings Scraper](https://apify.com/scrapers_lat/mercadolibre-scraper): Extract products, prices and seller data from MercadoLibre across 18 LATAM countries. Scrape...
- [Quince Product Scraper](https://apify.com/scrapers_lat/quince-scraper): Extract Quince.com products with prices, traditional retail price, discounts, variants, images and...
- [Rappi Restaurants & Stores Scraper](https://apify.com/scrapers_lat/rappi-scraper): Scrape restaurants and stores from Rappi Colombia! Extract store name, logo, category, rating...
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Properati. It only accesses data that is publicly available on the platform. Use it in accordance with Properati's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of listings to collect. Optional.
## `withDetails` (type: `boolean`):
When enabled, each listing's detail page is fetched to add description, amenities, the full image gallery, publisher/agent, and coordinates.
## `startUrl` (type: `string`):
A Properati search results URL. Apply any filters on the Properati site and paste the resulting URL, for example https://www.properati.com.ar/s/casa/venta or https://www.properati.com.co/s/apartamento/arriendo. Works on any country domain (.com.ar, .com.co, .com.pe, .com.ec ...).
## `proxyConfiguration` (type: `object`):
Proxy settings. Residential proxies in the listing's country are recommended for reliable access.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"startUrl": "https://www.properati.com.ar/s/casa/venta",
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10,
"startUrl": "https://www.properati.com.ar/s/casa/venta"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/properati-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxItems": 10,
"startUrl": "https://www.properati.com.ar/s/casa/venta",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/properati-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10,
"startUrl": "https://www.properati.com.ar/s/casa/venta"
}' |
apify call scrapers_lat/properati-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/properati-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Properati Real Estate Listings Scraper (LATAM)",
"description": "Scrape Properati real estate listings across Argentina, Colombia, Peru and Ecuador. Extract price, currency, operation, property type, bedrooms, bathrooms, area, location, agent phone, WhatsApp and coordinates. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "SEU2Qf4o6YDozaJXb"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~properati-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-properati-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~properati-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-properati-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~properati-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-properati-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"startUrl"
],
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of listings to collect. Optional."
},
"withDetails": {
"title": "Scrape detail pages",
"type": "boolean",
"description": "When enabled, each listing's detail page is fetched to add description, amenities, the full image gallery, publisher/agent, and coordinates.",
"default": true
},
"startUrl": {
"title": "Search URL",
"type": "string",
"description": "A Properati search results URL. Apply any filters on the Properati site and paste the resulting URL, for example https://www.properati.com.ar/s/casa/venta or https://www.properati.com.co/s/apartamento/arriendo. Works on any country domain (.com.ar, .com.co, .com.pe, .com.ec ...)."
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy settings. Residential proxies in the listing's country are recommended for reliable access.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```