Extract IHCL Hotel chains locations in India
                     Extract IHCL Hotel 
chains locations in India 
– City-Level Granularity 
and Occupancy Hubs
The report analyzes IHCL hotel locations across India, 
providing insights on occupancy, pricing, city 
distribution, guest reviews, and strategic growth 
opportunities. \
www.travelscrape.co [email protected]
m om
Introduction
India’s hospitality industry is rapidly evolving with 
data-driven insights guiding strategic decisions. One 
critical capability is to Extract IHCL Hotel chains 
locations in India, enabling analysis of hotel 
distribution, occupancy dynamics, pricing behavior, 
and guest sentiment. Through a 
Real-Time Hotel Data Scraping API, analysts and 
hotel businesses can optimize operations, marketing 
strategies, and expansion planning. Leveraging Tata 
Group hotel chain locations data scraping empowers 
stakeholders to access comprehensive datasets for 
competitive and operational intelligence. \
With a presence spanning over 200 properties, IHCL 
includes iconic brands such as Taj Hotels, Vivanta, 
Ginger, SeleQtions, and luxury offerings like Taj 
Exotica and Taj Safaris. Using method to 
Extract API for Taj Hotels Chains India, 
businesses can extract real-time insights into 
occupancy, rate trends, and guest satisfaction 
metrics.
200+ 
Hotels
15+ 
Major Cities
1w8w+w .travelscrape.co [email protected]
Smtates Covered om
Top States by Number of Hotels
Leading Indian states hosting IHCL hotels
REGIONAL
Maharashtra - 38+
Delhi NCR - 32+
Karnataka - 28+
Tamil Nadu - 22+
Rajasthan - 18+
Goa - 14+
These states cover the highest concentration of IHCL 
properties, representing both business and leisure 
hotspots, ideal to Scrape IHCL hotel chains data in 
India.
www.travelscrape.co [email protected]
m om
CITY LEVEL GRANULARITY
Total Cities Covered: 15+ major cities (Mumbai, 
Delhi NCR, Bengaluru, Chennai, Jaipur, Goa, Pune, 
Hyderabad, Kochi, Udaipur, Kolkata, Ahmedabad, 
Lucknow, Mangaluru, Coimbatore)
High Occupancy Hubs :
Mumbai - 38%
Delhi NCR - 34%
Bengaluru - 32%
Chennai - 29%
\
www.travelscrape.co [email protected]
m om
TOP STATES WITH MOST IHCL HOTELS IN INDIA
Based on available data, the states with the highest 
number of IHCL properties include:
RANK STATE NAME TOTAL HOTELS KEY CITIES
01 Maharashtra 38+ Mumbai, Pune, Nagpur
New Delhi, 
02 Delhi NCR 32+ Gurgaon, 
Noida
Bengaluru, 
03 Karnataka 28+ Mysuru, \
Mangaluru
Chennai, 
04 Tamil Nadu 22+ Coimbatore, 
Madurai
Jaipur, 
05 Rajasthan 18+ Udaipur, 
Jodhpur
Panaji, 
06 Goa 14+ Calangute, 
Baga
These states host the majority of IHCL hotels and 
represent high-demand business and leisure 
destinations. This data is critical for 
Hotel Data Scraping Services aimed at 
competitive analysis, expansion planning, and market 
strategy optimization.
www.travelscrape.co [email protected]
m om
IHCL Hotels in Key Indian Cities
STARTIN
RANK CITY HOTELS AVG STAR REVIEW RATING G PRICE (INR)
01 Mumbai 19 8.6 4★–5★ ₹9,500
02 Delhi NCR 16 8.4 4★–5★ ₹8,800
03 Bengalur
\
u 13 8.3 3★–5★ ₹7,800
04 Jaipur 9 8.1 4★–5★ ₹6,800
05 Chennai 7 8.0 3★–4★ ₹6,200
City-level metrics help track guest satisfaction and 
occupancy trends through IHCL hotel chain locations 
dataset in India for benchmarking performance.
www.travelscrape.co [email protected]
m om
IHCL Hotels with High Occupancy Rates
OCCUP
RANK HOTEL 
STAR REVIE TOTAL 
NAME CITY RATIN W ROOM
ANCY 
G SCORE S RATE (%)
Taj 
01 Mahal Mumbai 5★ 9.1 560 96%
Tower
Taj 
02 Lands Mumbai 5★ 8.9 555 94%
End
Vivanta 
03 Bengal Bengal
\
uru 4★ 8.5 310 92%uru
04 Taj Lake Palace Udaipur 5★ 9.3 102 93%
Taj 
05 Exotica Goa 5★ 9.0 225 91%
Goa
High-occupancy hotels provide actionable insights 
for Hotel Guest Review Dataset, revenue 
optimization, and strategic expansion.
www.travelscrape.co [email protected]
m om
Distribution of IHCL Hotels Across Major Indian 
Cities
NUMBER TOTAL AVG STARTINRANK CITY OF REVIEW G PRICE 
HOTELS ROOMS SCORE (INR)
01 Mumbai 19 4,950 8.6 9,500
02 Delhi 16 4,100 8.4 8,800
NCR
\
03 Bengaluru 13 3,200 8.3 7,800
04 Jaipur 9 1,650 8.1 6,800
05 Chennai 7 1,420 8.0 6,200
City-level distribution aids operational planning and 
Tata Group hotel chain data scraping India for 
occupancy, pricing, and service benchmarking.
www.travelscrape.co [email protected]
m om
Looking to Give Your Hotel Business an Edge?
“Leverage IHCL hotel location data to optimize 
operations, boost revenue, and uncover growth 
opportunities across India’s hospitality market.”
Contact Us
Advantages of IHCL Hotel Location Data Over 
Generic Datasets
Our IHCL-focused datasets deliver actionable 
intelligence, helping businesses in hospitality, \
investment, and strategic decision-making:
• Operational Strategy Optimization: IHCL datasets 
enable hotel managers to analyze regional 
occupancy trends, seasonal demand fluctuations, 
and guest preferences, allowing smarter staffing, 
resource allocation, and service delivery 
improvements across multiple properties.
• Competitive Market Intelligence: Extracted IHCL 
hotel data helps travel tech companies monitor 
competitor pricing, occupancy levels, and 
promotional offers, providing actionable insights 
to design effective marketing campaigns and 
optimize room rate strategies.
www.travelscrape.co [email protected]
m om
• Investment and Portfolio Planning: Investors and 
REITs can use IHCL property metrics, including 
room counts, average occupancy, and review 
performance, to evaluate potential acquisitions, 
forecast revenue, and assess long-term 
profitability for diversified portfolios.
• Urban and Leisure Expansion Insights: Real estate 
and expansion teams gain visibility into high-
demand metropolitan, tourist, and leisure 
destinations, guiding location-specific property 
development, brand placement, and strategic 
city-level growth opportunities.
\
• Customer Experience and Service Benchmarking: 
Analyzing guest ratings, reviews, and feedback 
trends across IHCL properties allows hospitality 
firms to identify service gaps, improve guest 
satisfaction, and develop personalized 
experiences to boost brand loyalty.
www.travelscrape.co [email protected]
m om
FIELD NAME DESCRIPTION
Specifies the hotel 
Property Name & name and its IHCL 
Category brand such as Taj, 
Vivanta, Ginger, or 
SeleQtions.
Includes city, state, full 
address, and GPS 
Geographic Information coordinates for location 
mapping.
\
Accommodation & Shows total rooms, occupancy trends, and 
Occupancy Metrics booking patterns.
Captures average room 
Pricing Details rates, seasonal pricing, 
and dynamic rate 
fluctuations.
Provides review scores, 
Guest Experience Data total reviews, and guest 
feedback for service 
insights.
www.travelscrape.co [email protected]
m om
Insights and Analysis
01
STRATEGIC CITY PRESENCE
IHCL properties concentrate in Mumbai, Delhi NCR, 
Bengaluru, Chennai, Jaipur, and Goa to maximize 
brand visibility and guest occupancy.
02
PORTFOLIO DIVERSIFICATION
IHCL spans mid-tier to ultra-luxury, addressing 
business, leisure, and luxury travel segments.
03 \
DYNAMIC REVENUE MANAGEMENT
Using Hotel Room Price Trends Dataset, hotels can 
adjust pricing based on seasonal demand, events, 
and occupancy shifts.
04
COMPETITIVE INTELLIGENCE
Access to Tata Group datasets supports market 
benchmarking, competitor tracking, and identifying 
underserved regions.
05
GUEST-CENTRIC INSIGHTS
Analysis from Hotel Guest Review Dataset informs 
service enhancements, improving satisfaction and 
long-term loyalty.
www.travelscrape.co [email protected]
m om
Conclusion
Leveraging IHCL Hotel chains locations data scraping 
API provides detailed insights into hotel occupancy, 
pricing patterns, and city-level distribution across 
India. Integration with Tata Group hotel chain API 
data scraping enables real-time monitoring, 
predictive analysis, and improved operational 
planning. Using the 
Hotel Room Price Trends Dataset, hotels can 
optimize revenue management and adjust pricing 
strategies based on demand fluctuations.
Key hospitality hubs include Maharashtra, Delhi NCR, 
Karnataka, and Tamil Nadu, where IHCL properties \
lead in occupancy, revenue generation, and brand 
visibility. Data-driven insights support smarter 
investment decisions, enhanced guest experiences, 
and sustainable growth across the entire IHCL 
network.
Originally published at 
https://www.travelscrape.com/
www.travelscrape.co [email protected]
m om
\
Thank You
✉ [email protected]
🌐 www.travelscrape.com