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
Falik Farm Stay Phra Nakhon Si Ayutthaya District Phra Nakhon Si Ayutthaya Thailand 🔗 4.7 43
Mae Samun Raft Bang Sai District Phra Nakhon Si Ayutthaya Thailand 🔗 4.5 35
หมู่บ้านรพีพรเลควิว Bang Pa-in District Phra Nakhon Si Ayutthaya Thailand 🔗 4.2 32
Chaba Homestay Phra Nakhon Si Ayutthaya District Phra Nakhon Si Ayutthaya Thailand 🔗 0 0
ราษฎนิยม อเมซอล Lat Bua Luang District Phra Nakhon Si Ayutthaya Thailand 🔗 4.3 6
บ้านศรีเนตร Lat Bua Luang District Phra Nakhon Si Ayutthaya Thailand 🔗 5 1
เอื้ออาทร Phak Hai District Phra Nakhon Si Ayutthaya Thailand 🔗 0 0
โกเฮง ส.มีสุวรรณฟาร์ม Bang Pahan District Phra Nakhon Si Ayutthaya Thailand 🔗 4.3 4
เกาะใหญ่ มารีน่า เรสซิเดนซ์ Bang Sai District Phra Nakhon Si Ayutthaya Thailand 🔗 4.4 13
Cream's aquarium Wang Noi District Phra Nakhon Si Ayutthaya Thailand 🔗 0 0
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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 Phra Nakhon Si Ayutthaya

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

City Listings Percentage
Bang Pa-In District 188 21.56%
Phra Nakhon Si Ayutthaya District 135 15.48%
Wang Noi District 99 11.35%
Bang Sai District 48 5.50%
Lat Bua Luang District 48 5.50%
Bang Pahan District 37 4.24%
Nakhon Luang District 36 4.13%
Sena District 33 3.78%
Tha Ruea District 32 3.67%
Bang Ban District 23 2.64%

What Data Do We Provide?

Our dataset for Lodgings in Phra Nakhon Si Ayutthaya is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 872 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 – Bang Pa-In District – there are over 188 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 Phra Nakhon Si Ayutthaya 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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