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
C & C - Home & Build... São Paulo State of São Paulo Brazil 🔗 3.9 5469
Nelson Ferramentas Belo Horizonte State of Minas Gerais Brazil 🔗 4.4 149
Agronômica Negócios... Marmeleiro State of Paraná Brazil 🔗 4.8 11
Nelson Rossanez Filh... Indaiatuba State of São Paulo Brazil 🔗 0 0
Ferro e Aço Nossa Se... São Paulo State of São Paulo Brazil 🔗 4.6 10
Ferragens Casa Mais |Palhoça State of Santa Catarina Brazil 🔗 4.6 103
Agroportal - Tintas... Porto Ferreira State of São Paulo Brazil 🔗 4.4 79
Casa dos Parafusos a... Sao Jose dos Campos State of São Paulo Brazil 🔗 3.9 158
AeroMaq Casa Das Maq... State of Rio de Janeiro Brazil 🔗 4.5 31
Ideal Ferragens & Ag... Itajaí State of Santa Catarina Brazil 🔗 0 0
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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.

2,968 (26%)

State Of São Paulo

State Of São Paulo contributes about 26% of all listings.

1,666 (14%)

State Of Rio Grande Do Sul

State Of Rio Grande Do Sul contributes about 14% of all listings.

1,134 (10%)

State Of Minas Gerais

State Of Minas Gerais contributes about 10% of all listings.

State Listings
State Of São Paulo 2,968 (25.58%)
State Of Rio Grande Do Sul 1,666 (14.36%)
State Of Minas Gerais 1,134 (9.77%)
State Of Goiás 1,005 (8.66%)
State Of Paraná 817 (7.04%)
State Of Rio De Janeiro 725 (6.25%)
State Of Santa Catarina 516 (4.45%)
State Of Bahia 390 (3.36%)
Ceará 287 (2.47%)
State Of Pernambuco 270 (2.33%)

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

City Listings
São Paulo 742 (6.39%)
Goiânia 402 (3.46%)
Porto Alegre 273 (2.35%)
Belo Horizonte 198 (1.71%)
Fortaleza 168 (1.45%)
Curitiba 161 (1.39%)
Aparecida De Goiânia 146 (1.26%)
Uberlândia 143 (1.23%)
Pelotas 119 (1.03%)
Manaus 115 (0.99%)

What Data Do We Provide?

Our dataset for Hardware stores in Brazil is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 11,605 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 2,968 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 Hardware stores 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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