Access structured real estate listings from one of Brazil’s most active housing platforms. ScrapeIt extracts property data from VivaReal — filtered, formatted, and ready to support analytics, marketing, or regional market research.
VivaReal serves listings across every major city and region in Brazil — but its interface wasn’t built for data teams. ScrapeIt bridges that gap with tools that let you scrape VivaReal data based on your specific filters: property type, state, metro area, price range, or even keywords like “aceita pet” or “com varanda.” All content — including Brazilian Portuguese text and local currency — is parsed, deduplicated, and exported in your preferred format. No clutter, no missed data points — just structured property information built around your criteria.
ScrapeIt’s VivaReal scraper captures everything that makes each listing valuable — from the basics to the granular. We extract sale or rental price in BRL, full location details (street, bairro, city, ZIP code), property type, and unit features like usable area (m²), number of bedrooms, bathrooms, parking spots, and floor level.
We also pull listing descriptions in Portuguese, availability status, listing ID, and whether it’s published by an individual or an agency. Amenities like balcony, air conditioning, pet acceptance, elevator, or 24h concierge are included where available. Each record includes image URLs, publication date, and links to maps or video tours — structured for export to CSV, JSON, or Excel.
VivaReal listings often carry subtle indicators that influence buyer and renter behavior — and ScrapeIt doesn’t miss them. When we scrape VivaReal data, we capture signals like “Preço reduzido,” “Anúncio novo,” or “Exclusivo,” which can highlight urgency or promotional strategies. Listings may also include tags related to payment flexibility, negotiation openness, or whether the building offers shared coworking spaces — increasingly common in Brazil’s urban developments.
Our extractor also picks up user-facing cues: how many people viewed or saved the listing, how long it’s been live, or whether it’s highlighted as premium by the platform. These extra layers turn raw listing data into strategic insight for pricing models, targeting, or user journey analysis.
Vivareal.com.br is a major player in Brazil’s digital property market, operating as part of OLX Brasil and Grupo ZAP. Together, these platforms host millions of active listings and attract tens of millions of monthly visitors across the country. VivaReal covers all major metros — from São Paulo and Rio de Janeiro to Curitiba and Salvador — offering listings across residential, commercial, and seasonal categories.
Beyond listings, the platform emphasizes user experience with features like saved searches, push alerts, and interactive maps. Users can filter for pet-friendly apartments, units with balconies, gated communities, or rental options that don’t require a guarantor. Its mobile app has over 5 million downloads and supports virtual tours, real-time updates, and personalized suggestions.
VivaReal also provides market intelligence, publishing rent reports, neighborhood profiles, and affordability insights — tools that appeal to both everyday users and real estate professionals. Backed by OLX’s infrastructure and advertiser network, VivaReal serves as a comprehensive hub for discovering, comparing, and tracking properties across Brazil.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Viva Real — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
VivaReal offers one of the most active and diverse real estate inventories in Brazil — but accessing that data in a structured way isn’t possible through the front end. A VivaReal scraper unlocks full visibility: from tracking price trends by neighborhood to benchmarking rental supply across cities or identifying new developments as they appear.
With ScrapeIt, you can bypass limited filters and manual work. Our VivaReal scraper helps clients aggregate property data at scale — whether you're monitoring pet-friendly housing availability, mapping affordability shifts, or feeding a national real estate platform. Structured access to VivaReal means better segmentation, faster updates, and more actionable insights for your housing or investment strategies.
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Unlike generic scraping tools, ScrapeIt delivers fully customized data extraction for platforms like VivaReal — built around your criteria, not ours. Whether you’re focused on São Paulo rentals, beachfront listings in Bahia, or comparing agency vs. owner posts, we structure the pipeline to match your needs.
From BRL pricing to native-language descriptions, floor plans to amenity tags, everything is parsed and formatted to plug into your dashboards, analytics tools, or listing feeds. No browser hacks, no messy interfaces — just fast, reliable access to high-volume real estate data across Brazil.
Yes — we can filter by city, metro area, state, or even postal code zones to give you hyper-localized property datasets.
Absolutely. We clean and validate each record to ensure only active, non-redundant listings make it into your export.
We offer exports in CSV, JSON, or Excel formats — tailored to how you store, analyze, or display real estate data.
Yes — we capture source type, publish date, and even status labels like “novo” or “destaque.”
Clients include proptech teams, urban housing researchers, investment platforms, and rental aggregators that operate in or monitor the Brazilian housing market.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
