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
Consultório Nelson G... Campo Grande State of Mato Grosso do Sul Brazil 🔗 5 21
Nelson Luiz Matiotti... Carazinho State of Rio Grande do Sul Brazil 🔗 5 2
Dr. Nelson Scontre J... São Paulo State of São Paulo Brazil 🔗 4.8 77
Nelson M Costa Cataguases State of Minas Gerais Brazil 🔗 5 3
Carus, Nelson R Alegrete State of Rio Grande do Sul Brazil 🔗 0 0
Nelson Soucasaux State of Rio de Janeiro Brazil 🔗 0 0
Tavaress Tecnologia... Campo Grande State of Mato Grosso do Sul Brazil 🔗 4.8 124
Dra. Maria Strongyli... Petrópolis State of Rio de Janeiro Brazil 🔗 5 1
Clínica Dr. Nelson M... São Gabriel do Oeste State of Mato Grosso do Sul Brazil 🔗 4.2 5
CENTRO MÉDICO State of Rio de Janeiro Brazil 🔗 3.9 14
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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.

3,086 (27%)

State Of São Paulo

State Of São Paulo contributes about 27% of all listings.

1,623 (14%)

State Of Rio De Janeiro

State Of Rio De Janeiro contributes about 14% of all listings.

1,434 (13%)

State Of Minas Gerais

State Of Minas Gerais contributes about 13% of all listings.

State Listings
State Of São Paulo 3,086 (27.37%)
State Of Rio De Janeiro 1,623 (14.39%)
State Of Minas Gerais 1,434 (12.72%)
State Of Paraná 810 (7.18%)
State Of Rio Grande Do Sul 777 (6.89%)
State Of Santa Catarina 477 (4.23%)
State Of Bahia 400 (3.55%)
Federal District 379 (3.36%)
State Of Pernambuco 300 (2.66%)
Ceará 275 (2.44%)

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

City Listings
São Paulo 1,620 (14.37%)
Belo Horizonte 523 (4.64%)
Curitiba 368 (3.26%)
Porto Alegre 308 (2.73%)
Fortaleza 194 (1.72%)
Recife 180 (1.60%)
Goiânia 163 (1.45%)
Manaus 118 (1.05%)
Niterói 112 (0.99%)
Vitória 105 (0.93%)

What Data Do We Provide?

Our dataset for Obstetrician-gynecologists in Brazil is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 11,276 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 3,086 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 Obstetrician-gynecologists 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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