How Many Inns are in Shanghai, China?
There are 20 Inns in Shanghai, China. A random selection of cities, including Pudong and Huangpu , features a substantial number of Inns locationsβ 7 in Pudong and 3 in Huangpu . Notably, Pudong accounts for approximately 35.00% of all Inns locations in the China.
Data last updated on June, 2025.
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Explore 10 random Inn listings from our dataset. Click on any contact icon for more details or to request your free sample.
| Name | City | State | Country | Phone | Website | Ratings | Reviews | |
|---|---|---|---|---|---|---|---|---|
| Jinjiang Inn East Shanghai Jin... | Pudong | Shanghai | China | β | β | π | 3 | 1 |
| Home Inn | Pudong | Shanghai | China | β | β | π | 5 | 2 |
| η₯₯δΊζ ι¦ | Pudong | Shanghai | China | β | β | π | 0 | 0 |
| Shanghai Living | Hongkou District | Shanghai | China | β | β | π | 0 | 0 |
| Shanghao Inn | Pudong | Shanghai | China | β | β | π | 0 | 0 |
| Jining Shengdi Business Inn | Putuo | Shanghai | China | β | β | π | 0 | 0 |
| Shanghai Qibao Old Street Inte... | Minhang District | Shanghai | China | β | β | π | 0 | 0 |
| Home Inn | Xuhui District | Shanghai | China | β | β | π | 4 | 1 |
| Shanghai Hongting Zhuti Hotel | Songjiang District | Shanghai | China | β | β | π | 0 | 0 |
| θΉεζ ι¦ | Xuhui District | Shanghai | China | β | β | π | 0 | 0 |
Complete Inn Dataset Fields Overview
Inns Data for Cities in Shanghai
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
| City | Listings | Percentage |
|---|---|---|
| Pudong | 7 | 35.00% |
| Huangpu | 3 | 15.00% |
| Xuhui District | 2 | 10.00% |
| Putuo | 2 | 10.00% |
| Minhang District | 1 | 5.00% |
| Qingpu District | 1 | 5.00% |
| Hongkou District | 1 | 5.00% |
| Songjiang District | 1 | 5.00% |
| Jinshan District | 1 | 5.00% |
What Data Do We Provide?
Our dataset for Inns in Shanghai is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 20 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 β Pudong β there are over 7 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:
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Analyze trends, saturation, and competitor presence by region to uncover underserved areas and high-potential markets.
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Train models with structured data and real user reviews for improved sentiment analysis, NER, and recommendations.
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Evaluate commercial potential and foot traffic by analyzing nearby businesses and activity trends.
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Optimize marketing by studying GMB listings, ratings, and categories used by top-performing competitors.
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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 Inns in Shanghai in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insightsβempowering your business decisions.
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