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
Baoneng Sci. Park Ev... Shenzhen China ☎ βœ‰ πŸ”— 0 0
Poly Hot Spring Guiy... Guiyang Guizhou China ☎ βœ‰ πŸ”— 0 0
Honglu Hot Spring Vi... Changping District China ☎ βœ‰ πŸ”— 0 0
Yanling Power Office... Zhenjiang Jiangsu China ☎ βœ‰ πŸ”— 0 0
Wudu Htl. Yibu Yongc... Zhengzhou Henan China ☎ βœ‰ πŸ”— 0 0
Jiayuan Express Bus... Zhengzhou China ☎ βœ‰ πŸ”— 0 0
He'Nan Inst of Econ.... Zhengzhou Henan China ☎ βœ‰ πŸ”— 0 0
Fanwei Pedicure Ev C... Zhengzhou Henan China ☎ βœ‰ πŸ”— 0 0
Dengfeng Passenger S... Zhengzhou Henan China ☎ βœ‰ πŸ”— 0 0
Jiayuan Bus. Hotel E... Zhengzhou Henan China ☎ βœ‰ πŸ”— 0 0
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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.

1,799 (11%)

Guangdong Province

Guangdong Province contributes about 11% of all listings.

793 (5%)

Anhui

Anhui contributes about 5% of all listings.

752 (5%)

Beijing

Beijing contributes about 5% of all listings.

State Listings
Guangdong Province 1,799 (10.88%)
Anhui 793 (4.79%)
Beijing 752 (4.55%)
Jiangsu 674 (4.07%)
Fujian 635 (3.84%)
Henan 406 (2.45%)
Shanghai 280 (1.69%)
Hebei 273 (1.65%)
Zhejiang 257 (1.55%)
Yunnan 184 (1.11%)

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

City Listings
Shenzhen 981 (5.93%)
Shenzhen 771 (4.66%)
Nei 599 (3.62%)
Chaoyang 407 (2.46%)
Hefei 344 (2.08%)
Haidian District 338 (2.04%)
Zhengzhou 322 (1.95%)
Zhengzhou 298 (1.80%)
Hefei 274 (1.66%)
Guangzhou 273 (1.65%)

What Data Do We Provide?

Our dataset for Electric vehicle charging stations in China is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 16,541 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 – Guangdong Province – there are over 1,799 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 Electric vehicle charging stations in China 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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