# QuintoAndar Brazil Scraper (Rentals & Sales) (`reventadata/quintoandar-scraper`) Actor

Scrape residential rentals, apartments, houses, condos, prices, and amenities across Brazil from QuintoAndar (quintoandar.com.br). Clean structured real estate data.

- **URL**: https://apify.com/reventadata/quintoandar-scraper.md
- **Developed by:** [reventadata](https://apify.com/reventadata) (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 property listing items

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

> **Unofficial.** This Actor is not affiliated with, authorised by, endorsed by, or in any
> way officially connected to QuintoAndar Serviços Imobiliários Ltda or any of its subsidiaries.
> "QuintoAndar" is a registered trademark of QuintoAndar Serviços Imobiliários Ltda. This tool queries
> publicly accessible residential property listings on QuintoAndar's public search portal.

QuintoAndar Brazil Scraper extracts residential rental and sale listings, apartment buildings, houses, studios, rental prices, total monthly costs (including condominium fees and IPTU), floor areas, bedrooms, bathrooms, parking spots, furnishing status, amenities, and photo galleries across Brazil from QuintoAndar (Brazil's #1 PropTech unicorn).

### What data can you extract?

- **Property Identification:** Unique QuintoAndar property ID (`id`), listing headline (`title`), and canonical listing URL (`url`).
- **Transaction Model:** Business type (`businessType`: `RENT` or `SALE`).
- **Property Category:** Standard category (`propertyType`: Apartamento, Casa, Kitnet, Studio, Cobertura, Flat, etc.).
- **Financial Breakdown:**
  - `rentPrice`: Net monthly rental price in BRL (R$).
  - `salePrice`: Property purchase price in BRL (R$).
  - `totalCost`: Estimated complete monthly living cost in BRL (aluguel + condomínio + IPTU + seguro incêndio).
  - `condoIptu`: Monthly condominium maintenance fee and municipal property tax in BRL.
- **Physical Specifications:** Usable floor area in square meters (`area` / m²), bedroom count (`bedrooms`), bathroom count (`bathrooms`), and parking spaces (`parkingSpots`).
- **Furnishing & Features:** Furnished status (`isFurnished`: true/false) and full list of condominium and in-unit amenities (`amenities`: academia, piscina, varanda, pet-friendly, etc.).
- **Location:** Public street or avenue name (`street`), neighbourhood (`neighbourhood` / bairro), and municipality (`city`).
- **Imagery:** Total photo count (`photoCount`) and primary showcase image URL (`bannerPhoto`).

### Why scrape QuintoAndar?

- **Brazil's Premier PropTech Benchmark:** QuintoAndar holds exclusive, verified real estate listings across Brazil's top economic hubs (São Paulo, Rio de Janeiro, Belo Horizonte, Curitiba, Porto Alegre, Brasília, Campinas, Santos, Salvador, etc.).
- **Real Estate Investment & Market Intelligence:** Track price-per-square-meter (`m²`) trends, yield ratios, rental discounts, and vacancy rates across key neighbourhoods.
- **Zero Personal Landlord PII by Design:** Fully compliant with Brazilian LGPD (Lei Geral de Proteção de Dados). Extracts public real estate listing specifications only; never exposes private landlord personal identities, CPF numbers, or personal phone numbers.
- **Predictable Pay-Per-Event (PPE) Pricing:** Pay only for results returned at **$2.00 per 1,000 property records** ($0.002 per item), with platform usage fully absorbed by us.

### How to use

1. Enter target locations, neighbourhoods, or direct QuintoAndar URLs in `searchQueries` (e.g. `["apartamento pinheiros sao paulo", "copacabana rio de janeiro", "https://www.quintoandar.com.br/alugar/imovel/sao-paulo-sp-brasil"]`).
2. Choose transaction model in `businessType` (`RENT` for aluguel, `SALE` for compra/venda).
3. Optionally filter by `propertyType` (`all`, `apartamento`, `casa`, `kitnet`, `studio`).
4. Optionally filter by `minPrice`, `maxPrice`, `minBedrooms`, or `minArea`.
5. Configure `maxItems` (default: 50, prefill: 10).
6. Run the Actor and export clean property data to JSON, CSV, Excel, or Google Sheets.

#### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `searchQueries` | array | `["apartamento pinheiros sao paulo"]` | Locations, neighbourhoods, or direct QuintoAndar URLs. |
| `businessType` | string | `"RENT"` | Transaction model: `RENT` (aluguel) or `SALE` (compra / venda). |
| `propertyType` | string | `"all"` | Category: `all`, `apartamento`, `casa`, `kitnet`, `studio`. |
| `minPrice` | integer | *null* | Optional minimum monthly rent or sale price in BRL (R$). |
| `maxPrice` | integer | *null* | Optional maximum monthly rent or sale price in BRL (R$). |
| `minBedrooms` | integer | *null* | Optional minimum bedroom count (quartos). |
| `minArea` | integer | *null* | Optional minimum floor area in square meters (m²). |
| `maxItems` | integer | `50` | Maximum property listings to output to dataset (prefill: 10). |
| `proxyConfiguration` | object | *Direct* | Apify Proxy configuration (direct egress used by default). |

#### Sample Output Record

```json
{
  "id": "893249554",
  "title": "Apartamento com 1 quarto(s) em Pinheiros, São Paulo",
  "url": "https://www.quintoandar.com.br/imovel/893249554",
  "businessType": "RENT",
  "propertyType": "Apartamento",
  "rentPrice": 4800.0,
  "salePrice": 0.0,
  "totalCost": 5485.0,
  "condoIptu": 585.0,
  "area": 44,
  "bedrooms": 1,
  "bathrooms": 1,
  "parkingSpots": 1,
  "isFurnished": true,
  "street": "Rua Capote Valente",
  "neighbourhood": "Pinheiros",
  "city": "São Paulo",
  "state": null,
  "amenities": [
    "Piscina",
    "Academia",
    "Portaria 24H",
    "Elevador",
    "Varanda",
    "Mobiliado"
  ],
  "photoCount": 24,
  "bannerPhoto": "https://www.quintoandar.com.br/img/893249554-123.jpg",
  "searchQuery": "apartamento pinheiros sao paulo",
  "scrapedAt": "2026-10-17T16:19:10.123456+00:00"
}
```

# Actor input Schema

## `searchQueries` (type: `array`):

List of locations, Brazilian neighbourhoods, or direct QuintoAndar URLs (e.g. 'apartamento pinheiros sao paulo', 'copacabana rio de janeiro', 'https://www.quintoandar.com.br/alugar/imovel/sao-paulo-sp-brasil').

## `businessType` (type: `string`):

Filter by business transaction model: RENT (aluguel) or SALE (compra / venda).

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

Filter by property category: all, apartment, house, kitnet, or studio.

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

Optional minimum price in BRL (monthly rent or purchase price).

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

Optional maximum price in BRL (monthly rent or purchase price).

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

Optional minimum number of bedrooms (quartos).

## `minArea` (type: `integer`):

Optional minimum floor area in square meters (m²).

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

Maximum number of property listings to collect across queries.

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

Proxy settings. QuintoAndar direct egress works without proxy.

## Actor input object example

```json
{
  "searchQueries": [
    "apartamento pinheiros sao paulo"
  ],
  "businessType": "RENT",
  "propertyType": "all",
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Items scraped from the target website.

# 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 = {
    "searchQueries": [
        "apartamento pinheiros sao paulo"
    ],
    "businessType": "RENT",
    "propertyType": "all",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("reventadata/quintoandar-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 = {
    "searchQueries": ["apartamento pinheiros sao paulo"],
    "businessType": "RENT",
    "propertyType": "all",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("reventadata/quintoandar-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 '{
  "searchQueries": [
    "apartamento pinheiros sao paulo"
  ],
  "businessType": "RENT",
  "propertyType": "all",
  "maxItems": 10
}' |
apify call reventadata/quintoandar-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,reventadata/quintoandar-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/yNVEVegCPUQKfnTrR/builds/oGqOn786wsZCP0f5V/openapi.json