Pricing

from $1.00 / 1,000 property scrapeds

VivaReal & ZAP Imóveis Scraper

Scrape property listings from VivaReal and ZAP Imóveis — Brazil's top real estate portals. Extract price, address, bedrooms, bathrooms, area, amenities, images and contact info. Pay per property scraped.

Pricing

from $1.00 / 1,000 property scrapeds

Rating

0.0

(0)

Developer

Gio

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Real estate

Automation

Developer tools

You can access the VivaReal & ZAP Imóveis Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "location": "https://www.vivareal.com.br/venda/sp/sao-paulo/",
10    "maxItems": 50,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("gio21/vivareal-zap-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

VivaReal & ZAP Imóveis Scraper API in Python

The Apify API client for Python is the official library that allows you to use VivaReal & ZAP Imóveis Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

VivaReal & ZAP Imóveis Scraper API in JavaScript

VivaReal & ZAP Imóveis Scraper API through CLI

VivaReal & ZAP Imóveis Scraper OpenAPI definition

VivaReal & ZAP Imóveis Scraper API

Zap Imóveis scraper

avorio/zap-imoveis-scraper

Scrapes real estate listings from Zap Imóveis (Brazilian real estate platform)

Avorio

170

1.0

Brazil Real Estate Scraper - OLX, ZAP & VivaReal

viralanalyzer/brazil-real-estate-scraper

Scrape Brazilian real estate listings from OLX, ZAP Imoveis, and VivaReal.

viralanalyzer

5.0

ZAP Imóveis Scraper | $4 / 1k | Fast & Reliable

fatihtahta/zap-imoveis-scraper

Scrape Real Estate property listings from Brazil’s top real estate marketplace ZAP Imóveis. Get detailed results including prices, addresses, agents and more. Perfect for market research, price tracking, and sourcing. $4 for 1000 listings.

Fatih Tahta

5.0

Vivareal Property Search Scraper

stealth_mode/vivareal-property-search-scraper

Scrape comprehensive property listings from VivaReal.com.br, Brazil's leading real estate marketplace. Extract prices, locations, amenities, property details, and developer information from search results. Perfect for real estate agencies, property investors, market analysts, and market research.

Stealth mode

Zapimoveis Property Search Scraper

stealth_mode/zapimoveis-property-search-scraper

Scrape comprehensive property listings from Zapimoveis.com.br, Brazil's leading real estate marketplace. Extract prices, locations, amenities, property details, and developer information from search results. Perfect for real estate agencies, market analysts, property investors, and housing research.

Stealth mode

Viva Real Scraper

makemakers/Viva-Real-Scraper

Extracts real estate listings from www.vivareal.com.br a brazilian real estate platform

makemakers

3.0

Santander Imóveis API

brasil-scrapers/santander-imoveis-api

API para busca de imóveis do Santander com diversos filtros personalizáveis.

Brasil Scrapers

Gupy Jobs Scraper - Brazil Job Board Real-Time Data (2026)

zen-studio/gupy-jobs-scraper

Scrape job listings from Gupy.io, Brazil's largest job board. Extract 90+ fields per job: descriptions, requirements, benefits, hiring pipeline steps, company profiles, and application deadlines. Filter by keyword, state, city, job type, or company.