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
Templo Budista Chen... Foz do Iguaçu State of Paraná Brazil 🔗 4.6 14611
Botanical Garden of... State of Rio de Janeiro Brazil 🔗 4.7 43594
RIOCOPTER Passeio de... State of Rio de Janeiro Brazil 🔗 4.9 315
Museu Aeroespacial State of Rio de Janeiro Brazil 🔗 4.8 6604
Tauá Grande Hotel e... Araxá State of Minas Gerais Brazil 🔗 4.7 9907
Christ the Redeemer State of Rio de Janeiro Brazil 🔗 4.8 119594
National Museum of B... State of Rio de Janeiro Brazil 🔗 4.6 2406
Dreamland Wax Museum Gramado State of Rio Grande do Sul Brazil 🔗 4.3 17925
Petropolis Wax Museu... Petrópolis State of Rio de Janeiro Brazil 🔗 4.4 5511
Escadaria Selarón State of Rio de Janeiro Brazil 🔗 4.6 81924
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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.

7,605 (19%)

State Of Minas Gerais

State Of Minas Gerais contributes about 19% of all listings.

5,703 (14%)

State Of São Paulo

State Of São Paulo contributes about 14% of all listings.

3,539 (9%)

State Of Rio Grande Do Sul

State Of Rio Grande Do Sul contributes about 9% of all listings.

State Listings
State Of Minas Gerais 7,605 (18.94%)
State Of São Paulo 5,703 (14.20%)
State Of Rio Grande Do Sul 3,539 (8.81%)
State Of Rio De Janeiro 2,879 (7.17%)
State Of Santa Catarina 2,649 (6.60%)
State Of Paraná 2,257 (5.62%)
State Of Bahia 2,089 (5.20%)
Ceará 1,838 (4.58%)
State Of Goiás 1,326 (3.30%)
State Of Pará 1,244 (3.10%)

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

City Listings
São Paulo 606 (1.51%)
Belo Horizonte 388 (0.97%)
Ouro Preto 254 (0.63%)
Florianópolis 250 (0.62%)
Porto Alegre 180 (0.45%)
Fortaleza 178 (0.44%)
Curitiba 175 (0.44%)
Angra Dos Reis 169 (0.42%)
Manaus 168 (0.42%)
Montes Claros 160 (0.40%)

What Data Do We Provide?

Our dataset for Tourist attractions in Brazil is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 40,150 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 Minas Gerais – there are over 7,605 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 Tourist attractions 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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