Sample Business Listings

Explore 10 random sample listings from our dataset. Click on any contact icon for more details or to request your free sample.

Name City State Country Phone Email Website Ratings Reviews
CORRETOR E PERITO AV... São Paulo State of São Paulo Brazil 🔗 5 12
Toko Village Porto Seguro State of Bahia Brazil 🔗 4.6 871
KABRU River Villa, I... Itacaré State of Bahia Brazil 🔗 4.6 7
KABRU Forest Villa,... Itacaré State of Bahia Brazil 🔗 5 11
Residencial Monte He... Porto Seguro State of Bahia Brazil 🔗 4.7 308
eSuites Virginia Lux... Belo Horizonte State of Minas Gerais Brazil 🔗 4.7 85
Locar-in Gramado Alu... Gramado State of Rio Grande do Sul Brazil 🔗 4.9 569
My Place Savassi Res... Belo Horizonte State of Minas Gerais Brazil 🔗 4.3 303
Airbuzz | Centenas d... State of Rio de Janeiro Brazil 🔗 4.6 36
Injoy Suítes & Apart... State of Rio de Janeiro Brazil 🔗 4.9 1339
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Complete Dataset Fields Overview

Business Name
Address
Website
Phone
Email (if available)
Rating Count
Review Count
Photo Count
Timezone
Latitude
Longitude
Categories
Price Range
Rating Distribution
Photos
Popular Times
Info
Highlight
Hours
Topics
Owner
URL
Date

Sample States & Cities

Below is a closer look at the regions where these businesses thrive. Discover 10 random states and cities by listing volume.

2,636 (24%)

State Of São Paulo

State Of São Paulo contributes about 24% of all listings.

1,230 (11%)

State Of Santa Catarina

State Of Santa Catarina contributes about 11% of all listings.

1,189 (11%)

State Of Rio De Janeiro

State Of Rio De Janeiro contributes about 11% of all listings.

State Listings
State Of São Paulo 2,636 (24.11%)
State Of Santa Catarina 1,230 (11.25%)
State Of Rio De Janeiro 1,189 (10.88%)
State Of Minas Gerais 955 (8.74%)
State Of Bahia 880 (8.05%)
State Of Rio Grande Do Sul 516 (4.72%)
Ceará 477 (4.36%)
State Of Pernambuco 429 (3.92%)
State Of Espírito Santo 371 (3.39%)
State Of Paraná 332 (3.04%)

Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.

City Listings
Florianópolis 333 (3.05%)
Ubatuba 322 (2.95%)
Porto Seguro 238 (2.18%)
São Paulo 213 (1.95%)
Bombinhas 172 (1.57%)
Ipojuca 155 (1.42%)
Paraty 142 (1.30%)
Arraial Do Cabo 138 (1.26%)
Cabo Frio 135 (1.23%)
Guarapari 119 (1.09%)

What Data Do We Provide?

Our dataset for Holiday apartment rentals in Brazil is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 10,932 listings. This includes:

  • Essential business details (name, address, and operational hours)
  • Verified contact information (phone, email, and website)
  • Customer engagement metrics (ratings and reviews)
  • Precise geolocation data (latitude, longitude, and regional distribution)
  • Additional attributes like categories, pricing, and more

For example, our analysis shows that in one of the leading regions – State Of São Paulo – there are over 2,636 listings, indicating a robust and competitive market.

How You Can Use This Data

Poidata' dataset empowers you to reach the right audience through multiple channels. Here are some key ways our data can give you a competitive edge:

  • Email Marketing: Utilize our verified email lists to craft personalized campaigns targeting key decision-makers.
  • Cold Calling: Access accurate phone numbers to initiate direct conversations, saving time and improving conversion rates.
  • Direct Mail: Reach out with physical catalogs or promotional materials using our detailed mailing addresses.
  • Social Media Outreach (Optional): Leverage curated lists of social media profiles (Instagram, LinkedIn, Facebook) to engage businesses on platforms where they’re most active.

Integrating these strategies helps ensure that your marketing efforts are both efficient and effective, driving higher engagement and better results.

Need More Details?

Unlock access to the complete dataset of Holiday apartment rentals in Brazil in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insights—empowering your business decisions.

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