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Marriott Hotel Chain Location Data Scraping India 2026

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Marriott Hotel chain Location Data Scraping India 2026: Brand-by-Brand Footprint Across Metro & Tier-2 Cities
This report delivers a comprehensive view of Marriott’s hotel network across India, examining brand-wise property distribution, metro and Tier-2 city presence, location patterns, pricing variations, and emerging hospitality markets for informed business intelligence.

Introduction
The hospitality industry continues to witness rapid growth in data-driven decision-making. One of the key drivers for strategic planning in this sector is the ability to Marriott Hotel chain Location Data Scraping India 2026, providing comprehensive insights into hotel distribution, brand presence, city coverage, property characteristics, pricing trends, and geographic expansion. By leveraging modern technologies to collect structured Marriott hotel information, hospitality analysts and businesses can gain a competitive advantage in optimizing operations, marketing strategies, investment planning, and location-based decision-making.
With 239 hotels currently listed across India, Marriott International has a substantial ...
... presence across major metropolitan areas, tourism destinations, business centers, and emerging markets. The portfolio includes flagship brands such as JW Marriott, The Ritz-Carlton, The St. Regis, Marriott Hotels, Westin, Le Méridien, Sheraton, Renaissance, Courtyard by Marriott, Fairfield by Marriott, Four Points by Sheraton, Aloft, Moxy, Tribute Portfolio, Autograph Collection, Luxury Collection, and Series by Marriott. Marriott's India directory covers destinations including Mumbai, Bengaluru, Pune, Goa, New Delhi, Gurugram, Hyderabad, Ahmedabad, Chennai, Jaipur, Agra, Lucknow, Bhopal, Amritsar, Coimbatore, Vadodara, Nashik, Jodhpur, Jaisalmer, and several other locations.
The increasing demand for Hotel Chains Data Scraping has enabled deeper visibility into Marriott's brand-by-brand footprint across metropolitan and Tier-2 cities, supporting hotel market mapping, pricing research, expansion monitoring, and geographic hospitality analysis.
239 Hotels
15+ Major Brands
30+ Cities & Destinations

Top States by Number of Marriott Hotels
States and regions with substantial Marriott hotel presence in India.
REGIONAL
MAHARASHTRA 50+
KARNATAKA 30+
GOA 15+
GUJARAT 15+
DELHI NCR 13+
RAJASTHAN 10+
City Level Granularity
Total Cities Covered: 30+ major cities and destinations including Mumbai, Bengaluru, Pune, Goa, New Delhi, Gurugram, Hyderabad, Ahmedabad, Chennai, Kolkata, Jaipur, Agra, Lucknow, Bhopal, Amritsar, Coimbatore, Vadodara, Nashik, Jodhpur, Jaisalmer, Indore, Nagpur, Kochi, Chandigarh, Dehradun, Mussoorie, Madurai, Siliguri, Mahabaleshwar, and Visakhapatnam. Marriott's official India directory identifies these destinations as markets with Marriott Bonvoy properties.

High Occupancy Hubs :
Mumba i26 Hotels
Bengaluru 23 Hotels
Pune17 Hotels
Goa15 Hotels

Top States with Most Marriott Hotels in India
Based on available Marriott India location data, the states and regions with significant Marriott properties include:
Rank
State Name
Total Hotels
Key Cities
01
Maharashtra
50+
Mumbai, Pune, Nashik, Nagpur, Navi Mumbai
02
Karnataka
30+
Bengaluru, Coorg, Chikmagalur, Mysuru region
03
Goa
15
Panaji, Benaulim, Colva, Verna
04
Gujarat
15+
Ahmedabad, Vadodara, Rajkot, Bharuch, Jamnagar
05
Delhi NCR
13+
New Delhi, Gurugram, Ghaziabad
06
Rajasthan
10+
Jaipur, Jodhpur, Jaisalmer, Udaipur, Pushkar

These markets demonstrate Marriott's geographic distribution across India's commercial centers, tourism destinations, business corridors, and developing hospitality markets. Marriott's directory lists multiple Gujarat, Rajasthan, Karnataka, Maharashtra, and Delhi-region destinations, while the opening pipeline adds further properties in several of these markets.
Marriott Hotels in Key Indian Cities
Rank
City Name
Hotels
Avg Review
Star Rating
Starting Price
01
Mumbai
26
4.4
4★–5★
₹21,186
02
Bengaluru
23
4.5
4★–5★
₹11,400
03
Pune
17
4.5
4★–5★
₹14,440
04
Goa
15
4.6
4★–5★
₹4,987
05
New Delhi
13
4.3
4★–5★
₹15,300

The displayed prices are current Marriott directory rates for the booking dates shown on the respective destination pages and can change according to date, property, room type, and availability. Mumbai currently lists ITC Grand Central at ₹21,186, Bengaluru lists Renaissance Bengaluru Race Course at ₹11,400, Pune lists Sheraton Grand Pune at ₹14,440, Goa lists Kesarval The Fern Goa at ₹4,987, and New Delhi lists Sheraton New Delhi at ₹15,300. This pricing information strengthens Hotel Chain Location Intelligence by connecting property-level rates with city-specific market conditions.
It also provides a clearer view of the Marriott hotel chains footprint across metro and Tier-2 cities, helping businesses compare geographic pricing variations, property distribution, and hospitality market opportunities across India.
This dataset supports method to Scrape Marriott Hotel chians Tier-2 city locations for enabling competitive benchmarking, performance tracking, market analysis, brand comparison, and strategic decision-making across India's hospitality networks.
Marriott Hotels with High Occupancy Rates
Rank
Hotel Name
City
Star Rating
Review Score
Total Rooms
Occupancy Rate
01
The St. Regis Mumbai
Mumbai
5★
4.4
395
High-Demand Hub
02
JW Marriott Hotel Bengaluru
Bengaluru
5★
4.5
281
High-Demand Hub
03
The Ritz-Carlton, Bangalore
Bengaluru
5★
4.7
277
High-Demand Hub
04
Jaipur Marriott Hotel
Jaipur
5★
4.3
350+
High-Demand Hub

This table uses property-level review, room, and market indicators to identify major Marriott demand hubs. Marriott's public listings do not disclose property occupancy percentages, so occupancy rates are not represented as invented percentages. Current Marriott listings show The St. Regis Mumbai at 4.4, JW Marriott Hotel Bengaluru at 4.5, The Ritz-Carlton, Bangalore at 4.7, and Jaipur Marriott Hotel at 4.3. These property-level indicators support Marriott Brand-by-Brand Hotel chain Footprint extraction India by highlighting differences in brand presence, property scale, and guest ratings.
These insights help identify demand clusters using methods to extract Marriott hotel city-wise locations analysis, enabling better market segmentation, location planning, and hospitality performance optimization strategies. The resulting dataset strengthens Marriott hotel chains location and demand intelligence across major metropolitan and emerging Indian hospitality markets.
Distribution of Marriott Hotels Across Major Indian Cities
Rank
City
Number of Hotels
Total Rooms
Avg Review Score
Starting Price (USD)
01
Mumbai
26
8,000+
4.4
$250+
02
Bengaluru
23
6,500+
4.5
$135+
03
Pune
17
4,500+
4.5
$170+
04
Goa
15
2,500+
4.6
$58+
05
New Delhi
13
4,000+
4.3
$180+

The room totals represent aggregated portfolio estimates across listed properties, while starting prices are converted from current Marriott displayed INR rates and rounded for comparative research. Marriott's destination pages provide the underlying property listings, ratings, and current displayed rates.
This structured dataset is essential for Property Listing Analysis and regional hospitality evaluation, supporting accurate market insights, hotel performance comparison, investment planning, and strategic decision-making across diverse geographic locations. It is also widely used in Marriott hotel chains India market coverage scraping for strategic planning.
Are you looking to strengthen your hotel strategy with better data insights?

“Access Marriott hotel location datasets to improve brand benchmarking, geographic coverage, pricing analysis, expansion monitoring, and market growth decisions across India.”
Advantages of Marriott Hotel Location Data Over Generic Hotel Datasets
Our Marriott-specific hotel datasets offer precise, actionable insights that empower organizations to make data-driven decisions in hospitality, investment, and market strategy. Key benefits include:
Hospitality Consulting Firms: Enables detailed analysis of brand distribution, property concentration, pricing patterns, guest ratings, room inventory, and geographic demand, helping consultants develop strategic recommendations across competitive Indian hospitality markets.
Real Estate & Site Selection Teams: Supports identification of high-demand hotel development zones by analyzing Marriott property locations, brand penetration, expansion announcements, geographic clusters, and market demand.
Hotel Investors & REITs: Provides accurate property-level information for revenue research, geographic portfolio analysis, brand comparison, room inventory assessment, pricing monitoring, and hospitality investment planning.
Tourism Boards & Travel Tech Companies: Enhances destination intelligence and competitive benchmarking by analyzing hotel distribution, Marriott brand presence, visitor destinations, property characteristics, pricing, and market coverage.
Fields Name
Description
Hotel Name & Brand
JW Marriott, Marriott Hotels, St. Regis, Westin, Courtyard, Fairfield and other Marriott brands
Location Details
City, state, address, locality, GPS coordinates
Room & Occupancy Data
Room count, property capacity, occupancy indicators and booking trends
Pricing & Rate Information
Displayed room prices, seasonal pricing and geographic rate variations
Guest Ratings & Reviews
Customer satisfaction scores and feedback insights

Insights and Analysis
01
Urban Market Focus
Marriott strategically maintains properties across high-density urban markets such as Mumbai, Bengaluru, Pune, New Delhi, Gurugram, and Hyderabad, providing coverage across corporate districts, airports, technology corridors, commercial centers, and leisure zones.
02
Segment Diversification Strategy
The brand portfolio includes luxury, premium, select-service, lifestyle, collection, and extended-stay concepts, allowing Marriott to address different customer segments across metropolitan, tourism, business, and emerging Indian markets.
03
Dynamic Pricing Mechanisms
Room pricing varies according to property, booking dates, room category, market conditions, and availability. Marriott's destination pages provide current displayed rates that can be captured for ongoing pricing comparisons and Geo-Based Price Parity analysis.
04
Data-Driven Expansion Planning
Structured hotel datasets enable precise market analysis by combining existing Marriott properties with announced developments. The 2026 pipeline includes properties in Ghaziabad, Gorakhpur, Chikmagalur, Lucknow, Navsari, Udaipur, Bengaluru, Bharuch, Mumbai, and Rajkot.
05
Reputation and Experience Management
Customer review information can be systematically analyzed across Marriott brands and cities to compare guest sentiment, ratings, property characteristics, and service-related feedback across different geographic markets.
Conclusion
By leveraging advanced analytics to extract Marriott hotel location data, hospitality businesses can gain deep insights into Marriott's operational footprint, brand distribution, property concentration, pricing patterns, and expansion strategy. Marriott's India directory currently lists 239 hotels across a wide network of metropolitan, tourism, business, and emerging destinations, providing a substantial foundation for geographic hospitality analysis.
The combination of existing properties and announced developments supports Marriott hotel chains geographic coverage India analysis across established metros and Tier-2 markets. Marriott's 2026 opening pipeline further demonstrates continued development in locations including Gorakhpur, Chikmagalur, Lucknow, Navsari, Udaipur, Bharuch, Rajkot, Ghaziabad, Bengaluru, and Mumbai.
Ultimately, Hotel Data Scraping plays a critical role in transforming dispersed hospitality information into structured datasets for geographic mapping, competitive benchmarking, pricing comparison, property research, expansion monitoring, and strategic decision-making across India's evolving hotel market.

source : https://www.travelscrape.com/marriott-hotel-chain-location-data-scraping-india.php
original : https://www.travelscrape.com

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#ScrapeMarriottHotelchiansTier-2citylocations
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#MarriotthotelchainsgeographiccoverageIndia

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