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
Ripley Los Andes Valparaíso Chile 🔗 3.9 3891
Ripley Marina Arauco Viña del Mar Valparaíso Chile 🔗 4.2 5450
Ripley Valparaiso Valparaíso Chile 🔗 3.8 5375
Ripley Quilpué Quilpué, Quilpue Valparaíso Chile 🔗 3.8 7212
BIMBA Y LOLA Viña del Mar Valparaíso Chile 🔗 3.3 8
Falabella La Calera, Calera Valparaíso Chile 🔗 4 3595
Ripley Viña Del Mar Viña del Mar Valparaíso Chile 🔗 4 4847
SAU SAU SHOP - RAPA... Valparaíso Chile 🔗 0 0
TAMURE Hanga Roa, Easter Island Valparaíso Chile 🔗 5 5
Artesania Anakena Hanga Roa, Easter Island Valparaíso Chile 🔗 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.

7,756 (58%)

Santiago Metropolitan Region

Santiago Metropolitan Region contributes about 58% of all listings.

1,277 (9%)

Valparaíso

Valparaíso contributes about 9% of all listings.

856 (6%)

Bio Bio

Bio Bio contributes about 6% of all listings.

State Listings
Santiago Metropolitan Region 7,756 (57.52%)
Valparaíso 1,277 (9.47%)
Bio Bio 856 (6.35%)
Araucania 556 (4.12%)
Maule 475 (3.52%)
Los Lagos 456 (3.38%)
O'higgins 427 (3.17%)
Coquimbo 405 (3.00%)
Antofagasta 281 (2.08%)
Tarapacá 211 (1.56%)

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

City Listings
Las Condes 496 (3.68%)
Viña Del Mar 336 (2.49%)
Maipú, Maipu 322 (2.39%)
Ла Флорида 280 (2.08%)
Vitacura 270 (2.00%)
Temuco 269 (1.99%)
Nunoa 246 (1.82%)
Puente Alto 237 (1.76%)
Valparaiso 211 (1.56%)
Rancagua 192 (1.42%)

What Data Do We Provide?

Our dataset for Clothing stores in Chile is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 13,484 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 – Santiago Metropolitan Region – there are over 7,756 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 Clothing stores in Chile 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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