Sample Diner Listings

Explore 10 random Diner 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
Soto Cak Hari Banjarmasin City South Kalimantan Indonesia ☎ βœ‰ πŸ”— 4.5 5424
Depot Palembang Hj. Bun pempek Banjarmasin City South Kalimantan Indonesia ☎ βœ‰ πŸ”— 4.3 113
RM Mona - Cabang 1 Banjarmasin City South Kalimantan Indonesia ☎ βœ‰ πŸ”— 4.4 508
Sate Abadi South Hulu Sungai Regency South Kalimantan Indonesia ☎ βœ‰ πŸ”— 4.3 538
Si UDUK spesial nasi uduk Banjarbaru City South Kalimantan Indonesia ☎ βœ‰ πŸ”— 4.8 5
BPK INGANTA JUMPA Banjarbaru City South Kalimantan Indonesia ☎ βœ‰ πŸ”— 4.6 218
Soto Legendaris Banjarbaru City South Kalimantan Indonesia ☎ βœ‰ πŸ”— 0 0
Renne Banjarmasin City South Kalimantan Indonesia ☎ βœ‰ πŸ”— 5 1
Podang Indonesian Food Banjarmasin City South Kalimantan Indonesia ☎ βœ‰ πŸ”— 4.2 2797
RUMAH MAKAN SATUI Tanah Bumbu Regency South Kalimantan Indonesia ☎ βœ‰ πŸ”— 2.5 2
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Complete Diner 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
Plus Code
Place ID

Diners Data for Cities in South Kalimantan

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

City Listings Percentage
Banjarmasin City 1,301 38.79%
Banjarbaru City 460 13.71%
Banjar Regency 309 9.21%
Tanah Laut Regency 196 5.84%
Tanah Bumbu Regency 193 5.75%
Barito Kuala Regency 184 5.49%
Tabalong Regency 141 4.20%
Kotabaru Regency 130 3.88%
Tapin Regency 111 3.31%
Central Hulu Sungai Regency 104 3.10%

What Data Do We Provide?

Our dataset for Diners in South Kalimantan is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 3,354 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 cities – Banjarmasin City – there are over 1,301 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:

Market Research & Competitive Analysis

Analyze trends, saturation, and competitor presence by region to uncover underserved areas and high-potential markets.

Location Intelligence & Expansion

Plan openings or rollouts using density maps, ratings, and category insights to target low-competition, high-demand zones.

Mapping & Navigation

Add POI data to your apps for delivery, logistics, or travel using accurate coordinates and business information.

AI & NLP Model Training

Train models with structured data and real user reviews for improved sentiment analysis, NER, and recommendations.

Real Estate & Investment Insights

Evaluate commercial potential and foot traffic by analyzing nearby businesses and activity trends.

Local SEO & Digital Services

Optimize marketing by studying GMB listings, ratings, and categories used by top-performing competitors.

Lead Generation & Sales

Find and reach businesses using phone numbers, websites, and category filters for smarter prospecting.

Email Marketing

Run campaigns with verified emails of decision-makers for personalized outreach at scale.

Cold Calling

Use up-to-date phone numbers to initiate effective conversations and improve call conversions.

Direct Mail Campaigns

Send promotional materials or catalogs using accurate mailing addresses for targeted delivery.

Social Media Outreach

Engage businesses via Instagram, LinkedIn, or Facebook using curated profile data (optional).

Footfall & Demand Estimation

Estimate local foot traffic by analyzing the concentration and type of nearby businesses and their popularity.

Integrating these strategies can significantly boost your marketing efficiency, lead quality, and business insights.

Need More Details?

Unlock access to the complete dataset of Diners in South Kalimantan in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insightsβ€”empowering your business decisions.

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