Sample Lodging Listings

Explore 10 random Lodging 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
Tiu kelep homestay North Lombok Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.9 71
Areguling Beach Bungalows Central Lombok Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.3 84
Flowers and Fire Yoga Garden G... North Lombok Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.7 243
Pondok Daun Homestay Sumbawa Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.2 303
Roy Homestay Central Lombok Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.1 95
Nuansa Rinjani Bungalow. RedPa... East Lombok Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.4 190
Tri Putri Homestay Central Lombok Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.1 166
Family Garden Home Stay West Lombok Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.3 95
gili countryside villa North Lombok Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.2 17
Damai Homestay North Lombok Regency West Nusa Tenggara Indonesia ☎ βœ‰ πŸ”— 4.3 16
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Complete Lodging 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

Lodgings Data for Cities in West Nusa Tenggara

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

City Listings Percentage
Mataram City 340 21.34%
East Lombok Regency 275 17.26%
Central Lombok Regency 261 16.38%
West Lombok Regency 216 13.56%
North Lombok Regency 192 12.05%
Bima Regency 120 7.53%
Sumbawa Regency 99 6.21%
Dompu Regency 37 2.32%
West Sumbawa Regency 34 2.13%
Mataram 4 0.25%

What Data Do We Provide?

Our dataset for Lodgings in West Nusa Tenggara is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 1,593 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 – Mataram City – there are over 340 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 Lodgings in West Nusa Tenggara 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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