# Brazil Real Estate Scraper (`ocrad/brazil-real-estate-scraper`) Actor
Scrapes property listings from multiple Brazilian real estate sites: Zap Imóveis, Viva Real, Lugar Certo, ImovelWeb, OLX, and Mercado Livre.
- **URL**: https://apify.com/ocrad/brazil-real-estate-scraper.md
- **Developed by:** [Ocrad](https://apify.com/ocrad) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 51 total users, 8 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $7.00 / 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 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
## Brazilian Multi-Site Real Estate Scraper
Scrapes property listings from multiple Brazilian real estate sites: **Zap Imóveis**, **Viva Real**, **Lugar Certo**, **ImovelWeb**, **OLX**, and **Mercado Livre**.
### Input
| Field | Type | Description |
|-------|------|-------------|
| **urls** | requestListSources | Listing page URLs for any of the supported sites |
| **max_items_per_url** | number | Maximum items to scrape per URL (default: 100) |
| **max_retries_per_url** | number | Maximum retry attempts per URL (default: 2) |
| **ignore_url_failures** | checkbox | Continue scraping even if some URLs fail (default: true) |
| **proxy** | proxy | Proxy configuration. Use Apify Proxy with country BR for best results |
### Output
Results are stored in the default dataset. Each item follows this schema:
```json
{
"posting_id": "12345",
"url": "https://www.zapimoveis.com.br/imovel/...",
"title": "Apartamento 2 quartos - São Paulo",
"price": "R$ 450.000",
"location": "São Paulo, SP",
"features": { "bedrooms": 2, "bathrooms": 1, "area": "80m²" },
"publisher": "Imobiliária XYZ",
"images": ["https://..."],
"from_url": "https://www.zapimoveis.com.br/venda/...",
"source_site": "zap-imoveis"
}
````
Fields may be `null` when data is not available. The schema is not strictly validated.
### Proxy
For best results when scraping Brazilian sites, use **Apify Proxy** with country **BR** (Brazil):
- Set `useApifyProxy: true` in the proxy input
- Default country is Brazil (BR) when using Apify Proxy
### Support
For issues or questions, please open an issue in the repository.
# Actor input Schema
## `urls` (type: `array`):
Listing page URLs from any supported site (Zap Imóveis, Viva Real, Lugar Certo, ImovelWeb, OLX, Mercado Livre)
## `max_items_per_url` (type: `integer`):
Maximum number of items to scrape per URL
## `max_retries_per_url` (type: `integer`):
Maximum retry attempts per URL
## `ignore_url_failures` (type: `boolean`):
Continue scraping even if some URLs fail
## `proxy` (type: `object`):
Proxy configuration
## Actor input object example
```json
{
"urls": [
{
"url": "https://www.zapimoveis.com.br/venda/apartamentos/sp+sao-paulo/"
}
],
"max_items_per_url": 100,
"max_retries_per_url": 2,
"ignore_url_failures": true,
"proxy": {
"useApifyProxy": false
}
}
```
# Actor output Schema
## `results` (type: `string`):
Scraped property listings in the default dataset. Each item has posting\_id, url, title, price, location, features, publisher, images, from\_url, and source\_site.
# 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 = {
"urls": [
{
"url": "https://www.zapimoveis.com.br/venda/apartamentos/sp+sao-paulo/"
}
],
"proxy": {
"useApifyProxy": false
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("ocrad/brazil-real-estate-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"urls": [{ "url": "https://www.zapimoveis.com.br/venda/apartamentos/sp+sao-paulo/" }],
"proxy": { "useApifyProxy": False },
}
# Run the Actor and wait for it to finish
run = client.actor("ocrad/brazil-real-estate-scraper").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 '{
"urls": [
{
"url": "https://www.zapimoveis.com.br/venda/apartamentos/sp+sao-paulo/"
}
],
"proxy": {
"useApifyProxy": false
}
}' |
apify call ocrad/brazil-real-estate-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=ocrad/brazil-real-estate-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Brazil Real Estate Scraper",
"description": "Scrapes property listings from multiple Brazilian real estate sites: Zap Imóveis, Viva Real, Lugar Certo, ImovelWeb, OLX, and Mercado Livre.",
"version": "0.1",
"x-build-id": "bveZbbQMeCSwWKonc"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/ocrad~brazil-real-estate-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-ocrad-brazil-real-estate-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/ocrad~brazil-real-estate-scraper/runs": {
"post": {
"operationId": "runs-sync-ocrad-brazil-real-estate-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/ocrad~brazil-real-estate-scraper/run-sync": {
"post": {
"operationId": "run-sync-ocrad-brazil-real-estate-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": [
"urls"
],
"properties": {
"urls": {
"title": "URLs",
"type": "array",
"description": "Listing page URLs from any supported site (Zap Imóveis, Viva Real, Lugar Certo, ImovelWeb, OLX, Mercado Livre)",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"max_items_per_url": {
"title": "Max Items Per URL",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Maximum number of items to scrape per URL",
"default": 100
},
"max_retries_per_url": {
"title": "Max Retries Per URL",
"minimum": 0,
"maximum": 10,
"type": "integer",
"description": "Maximum retry attempts per URL",
"default": 2
},
"ignore_url_failures": {
"title": "Ignore URL Failures",
"type": "boolean",
"description": "Continue scraping even if some URLs fail",
"default": true
},
"proxy": {
"title": "Proxy",
"type": "object",
"description": "Proxy configuration"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```