Sample Motel Listings

Explore 10 random Motel 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
SPOT ON 64229 Paradise Marriag... Azamgarh Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 3.9 439
Treebo House Inn - Hotel in No... Noida, Basi Bahuddin Nagar Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 3.8 908
Treebo Trend Noida Express Noi... Shahpur Govardhanpur Bangar Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 3.9 108
Collection O 16542 Bishanpura... Noida, Bishanpura Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 3.9 306
Flagship Hm Resort And Swimmin... Noida, Aurangabad Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 4.1 114
Super Townhouse 390 The Madhav... Noida, Bishanpura Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 3.6 390
OYO 48484 N H Plaza Lodge & Fa... Khurja Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 4.2 379
OYO Townhouse 79643 Oyo Townho... Noida, Basi Bahuddin Nagar Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 2.8 305
OYO PL Guest House Noida, Greater Noida Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 3.9 93
OYO 42767 Naina Guest House Noida, Greater Noida Uttar Pradesh India โ˜Ž โœ‰ ๐Ÿ”— 4.1 72
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Complete Motel 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

Motels Data for Cities in Uttar Pradesh

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

City Listings Percentage
Meerut 184 4.12%
Noida, Greater Noida 123 2.75%
Aligarh 110 2.46%
Vrindavan 75 1.68%
Agra, Dhandhupura 61 1.37%
๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿ‡ฎ๐Ÿ‡ณ, Gorakhpur 60 1.34%
Lucknow 49 1.10%
Jhansi 40 0.90%
Agra, Basai 38 0.85%
Noida, Basi Bahuddin Nagar 29 0.65%

What Data Do We Provide?

Our dataset for Motels in Uttar Pradesh is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 4,467 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 โ€“ Meerut โ€“ there are over 184 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 Motels in Uttar Pradesh in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insightsโ€”empowering your business decisions.

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