Sample Business Listings

Explore 10 random sample 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
Ресторан Dhaba Russia 🔗 4.6 433
Makkoli St.Petersburg Russia 🔗 4.6 561
Tiger Lily St.Petersburg Russia 🔗 4.6 1066
Bab Jib Restaurant St.Petersburg Russia 🔗 4.3 916
Sichuan Cuisine St.Petersburg Russia 🔗 4.4 234
Tsin' St.Petersburg Russia 🔗 4.2 1828
Nihao Moscow-Beijing St.Petersburg Russia 🔗 4.6 265
Pekin Владимир Vladimir Oblast Russia 🔗 4.3 118
Chifal'nya St.Petersburg Russia 🔗 3.6 30
Sammi Russia 🔗 4.5 578
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Complete 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

Sample States & Cities

Below is a closer look at the regions where these businesses thrive. Discover 10 random states and cities by listing volume.

101 (10%)

Primorsky Krai

Primorsky Krai contributes about 10% of all listings.

64 (6%)

Khabarovsk Krai

Khabarovsk Krai contributes about 6% of all listings.

61 (6%)

Irkutsk Oblast

Irkutsk Oblast contributes about 6% of all listings.

State Listings
Primorsky Krai 101 (10.19%)
Khabarovsk Krai 64 (6.46%)
Irkutsk Oblast 61 (6.16%)
Amur Oblast 46 (4.64%)
Moscow Oblast 42 (4.24%)
Buryatia 38 (3.83%)
Zabaykalsky Krai 32 (3.23%)
Novosibirsk Oblast 26 (2.62%)
Sverdlovsk Oblast 24 (2.42%)
Krasnodar Krai 21 (2.12%)

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

City Listings
St.petersburg 126 (12.71%)
Vladivostok 48 (4.84%)
Irkutsk 41 (4.14%)
Ulan-Ude 35 (3.53%)
Благовещенск 34 (3.43%)
Chita 24 (2.42%)
Новосибирск, 23 (2.32%)
Ussuriysk 20 (2.02%)
Yekaterinburg 19 (1.92%)
Казань: 15 (1.51%)

What Data Do We Provide?

Our dataset for Chinese restaurants in Russia is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 991 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 regions – Primorsky Krai – there are over 101 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:

  • Email Marketing: Utilize our verified email lists to craft personalized campaigns targeting key decision-makers.
  • Cold Calling: Access accurate phone numbers to initiate direct conversations, saving time and improving conversion rates.
  • Direct Mail: Reach out with physical catalogs or promotional materials using our detailed mailing addresses.
  • Social Media Outreach (Optional): Leverage curated lists of social media profiles (Instagram, LinkedIn, Facebook) to engage businesses on platforms where they’re most active.

Integrating these strategies helps ensure that your marketing efforts are both efficient and effective, driving higher engagement and better results.

Need More Details?

Unlock access to the complete dataset of Chinese restaurants in Russia 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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