Sample Fast Food Restaurant Listings

Explore 10 random Fast Food Restaurant 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
Khao Soi Lung Prakit Kad Kom Mueang Chiang Mai District, Chiang Mai Thailand 🔗 4.5 2258
KFC Lotus Chom Thong Chiang Ma... Chom Thong District Chiang Mai Thailand 🔗 4.2 39
Beast Burger (Chiang Mai) Mueang Chiang Mai District, Chiang Mai Thailand 🔗 4.6 1945
Baa(n) Din Cocktail Bar & Rest... Mueang Chiang Mai District, Chiang Mai Thailand 🔗 4.7 194
G&M German Sausage Doi Saket District Chiang Mai Thailand 🔗 4.3 380
KFC THE ICON PARK HOTEL CHIANG... Mueang Chiang Mai District, Chiang Mai Thailand 🔗 3.8 446
Guu Fusion Roti & Tea Mueang Chiang Mai District, Chiang Mai Thailand 🔗 4.2 1770
KFC Maya Chiang Mai Mueang Chiang Mai District, Chiang Mai Thailand 🔗 3.8 251
THE KEBAB FALAFEL Mueang Chiang Mai District, Chiang Mai Thailand 🔗 2.7 40
นายกะเพรา Mueang Chiang Mai District, Chiang Mai Thailand 🔗 3.7 3
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Complete Fast Food Restaurant 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

Fast Food Restaurants Data for Cities in Chiang Mai

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

City Listings Percentage
Mueang Chiang Mai District, 336 37.84%
San Sai District 108 12.16%
เมือง​ฯ 105 11.82%
San Kamphaeng District 62 6.98%
Saraphi District 45 5.07%
Mae Rim District 44 4.95%
Hang Dong District 43 4.84%
Doi Saket District 30 3.38%
San Pa Tong District 24 2.70%
Fang District 17 1.91%

What Data Do We Provide?

Our dataset for Fast food restaurants in Chiang Mai is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 888 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 – Mueang Chiang Mai District, – there are over 336 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 Fast food restaurants in Chiang Mai 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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