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
Lao Chenjia Stone Mill Urumqi Xinjiang China ☎ βœ‰ πŸ”— 0 0
Lao Chenjia Stone Mill Urumqi Xinjiang China ☎ βœ‰ πŸ”— 0 0
Kuaidele Hamburger Kashi Head... Kashgar Prefecture Xinjiang China ☎ βœ‰ πŸ”— 0 0
Rose Fast Food Hotan Prefecture Xinjiang China ☎ βœ‰ πŸ”— 4.3 7
Wangjun Breakfast Store Bortala Mongol Autonomous Prefecture Xinjiang China ☎ βœ‰ πŸ”— 0 0
Nihao Breakfast Store Bortala Mongol Autonomous Prefecture Xinjiang China ☎ βœ‰ πŸ”— 0 0
Lilaoda Muslims Breakfast Cold... Bortala Mongol Autonomous Prefecture Xinjiang China ☎ βœ‰ πŸ”— 0 0
Dingjian Special Breakfast Bortala Mongol Autonomous Prefecture Xinjiang China ☎ βœ‰ πŸ”— 0 0
Shuanghui Breakfast Store Bortala Mongol Autonomous Prefecture Xinjiang China ☎ βœ‰ πŸ”— 0 0
Xiaoliang Breakfast Store Bortala Mongol Autonomous Prefecture Xinjiang China ☎ βœ‰ πŸ”— 0 0
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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 Xinjiang

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

City Listings Percentage
Bortala Mongol Autonomous Prefecture 265 17.87%
Urumqi 264 17.80%
Kashgar Prefecture 146 9.84%
Altay Prefecture 89 6.00%
Hotan Prefecture 80 5.39%
Tacheng Prefecture 72 4.86%
Xinjiang 66 4.45%
Aksu Prefecture 47 3.17%
Kizilsu Kyrgyz Autonomous Prefecture 44 2.97%
Hami 32 2.16%

What Data Do We Provide?

Our dataset for Fast food restaurants in Xinjiang is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 1,483 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 – Bortala Mongol Autonomous Prefecture – there are over 265 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 Xinjiang 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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