Scrape Maharashtra Top 10 Largest Hotel Chains
                     Scrape Maharashtra Top 10 
Largest Hotel Chains – 
Market Overview 2026
This report scrapes Maharashtra’s top 10 largest hotel 
chains to analyze city-wise distribution, brand 
dominance, occupancy drivers, and hospitality 
expansion trends.
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Introduction
Maharashtra is India’s most competitive and diversified 
hospitality market, driven by business travel, 
international tourism, industrial hubs, pilgrimage 
destinations, wine tourism, coastal leisure travel, and 
large-scale events. In 2026, the state’s hotel ecosystem 
is dominated by a mix of luxury, upscale, mid-scale, and 
budget hotel chains strategically distributed across 
Mumbai, Pune, Nagpur, Nashik, Aurangabad 
(Sambhajinagar), Navi Mumbai, Thane, Kolhapur, Shirdi, 
Lonavala, Alibaug, and Konkan tourism corridors. This 
makes the state a prime market to Scrape Maharashtra 
Top 10 Largest Hotel Chains for strategic hospitality \
intelligence.
Conducting a detailed analysis provides insights into 
state-wise and city-wise hotel density, brand presence, 
and expansion strategies across Maharashtra’s diverse 
hospitality markets. By using a 
Real-Time Hotel Data Scraping API, analysts can 
capture live updates on hotel openings, closures, 
rebranding activity, and inventory changes to ensure 
accurate reporting of the state’s hospitality footprint.
Based on hotel count, room inventory, guest ratings, and 
geographic distribution, Maharashtra’s largest hotel 
chains reveal how brands optimize presence near 
airports, IT parks, pilgrimage hubs, highways, and 
tourism clusters to maximize occupancy and revenue 
performance. Through advanced Hotel chain data 
scraping in Maharashtra, the leading hotel groups 
cwolwlewc.ttivraevlye ldsecfiranpe et.hceo organized shaolsepsi@tatlirtayv lealnsdcrsacpapee.c of 
tmhe state, while thousands of ionmdependent hotels add 
regional diversity.
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• 1,270+
Branded Hotels
• 15+
Major Cities & Tourism
• 1
State Covered
CITY LEVEL GRANULARITY
Total Cities Covered: 12+ major cities (Mumbai, 
Pune, Nagpur, Nashik, Aurangabad, Navi Mumbai, 
Thane, Kolhapur, Shirdi, Lonavala, Alibaug, Konkan 
region)
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High Occupancy Hubs :
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TOP HOTEL CHAINS IN MAHARASHTRA IN 2026
CITIES TOTAL DOWNLO
RANK HOTEL CHAIN MUMBAI PUNE NAGPUR PRESENT HOTELS AD 
IN MAH IN MAH DATASET
The 
Indian 
Hotels 
1 Co Ltd 15+ 10+ hotels hotels 2 hotels 12+ 35–40 Downloa
(Taj, d
Vivanta, 
Ginger)
Marriott 
Internati
onal (JW, 
2 Courtyar 8 hotels 6 hotels 2 hotels 6–8 18–20 Downloa
d, Ritz- d
Carlton, 
Westin)
3 Oyo 30 hotels 35 hotels 29 hotels 30+ 90–100 Downloa
Rooms d \
Lemon 
4 Tree 5 hotels 5 hotels 1 hotel 8–10 15–18 Downloa
Hotels d
5 FabHotel 10 hotels 10 hotels 6 hotels 10+ 25–30 Downloa
s d
ITC 
Hotels 
6 (ITC, 4 hotels 3 hotels 1 hotel 4–6 9–11 Downloa
Welcomh d
otel, 
Fortune)
Hyatt 
Hotels 
(Hyatt, 
7 Grand 4 hotels 3 hotels 1 hotel 5–7 10–12 Downloa
Hyatt, d
Hyatt 
Regency)
Treebo 
8 Hotels 3 hotels 4 hotels 2 hotels 8–10 15–18 Download
The 
9 Leela 3 hotels 1–2 hotels 0 hotels 3–4 5–6 Download
Kamat 
Hotels 
10 www.(tTrhae velsc2 rhaoteplse.co2 hotels 0 hoteslsales3–@5 trave4–l6scrapeD.ocwnloa
Orchid, d
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These hotel chains represent the most visible and 
operationally dense networks across Maharashtra, 
making them ideal for location intelligence, market 
benchmarking, and competitive analysis delivered 
through Hotel Data Scraping Services. In addition, 
Maharashtra hosts over 8,000 independent hotels, 
particularly concentrated in pilgrimage towns, hill 
stations, and coastal regions.
LOCATION INTELLIGENCE SUMMARY FOR 
VISUALIZATION
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Instead of a bar chart and city map, the data can be 
summarized for visual analysis. By Extracting hotel 
chain locations in Maharashtra, analysts can build 
datasets suitable for plotting state-wide bar charts, city 
heatmaps, and density clusters.
This structured approach strengthens 
Hotel Data Intelligence initiatives by enabling brand-
wise visualization, city-level overlap analysis, and 
identification of high-density hospitality zones across 
the state.
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LEARN MORE ABOUT TOP HOTEL CHAINS IN 
MAHARASHTRA
A centralized Maharashtra Hotel chain location dataset 
helps stakeholders understand how branded hotels are 
distributed across metropolitan, tier-2, pilgrimage, and 
leisure destinations.
• The Indian Hotels Co Ltd (IHCL)
IHCL leads Maharashtra’s hospitality landscape, 
operating Taj, Vivanta, Ginger, SeleQtions, and 
Gateway hotels across major cities, balancing 
luxury, upscale, and mid-scale segments 
statewide strategically positioned. \
• Marriott International
Marriott International operates premium, upscale, 
and business brands across Mumbai, Pune, and 
Nagpur, with hotels near airports, IT corridors, and 
commercial hubs statewide market focus.
• Oyo Rooms
Oyo Rooms holds Maharashtra’s widest hotel 
footprint, spanning metros, tier-2 cities, highways, 
pilgrimage destinations, enabling high inventory 
density and budget accessibility statewide for 
diverse travelers.
• Lemon Tree Hotels
Lemon Tree Hotels concentrates on mid-scale 
business properties aligned with industrial 
wwcwlu.tsrtaevrse,l stcraranpseit. ccoorridors, ansda leems@ertgrainvge lscrape.c
commercial zones across Maharashtra, supporting 
m corporate travel demand groowmth.
• Fabhotels
Fabhotels serves cost-conscious business and 
leisure travelers through dense city-level 
networks, standardized stays, and asset-light 
expansion across Maharashtra, catering to short 
stay urban travel needs.
• ITC Hotels
ITC Hotels maintains a strong luxury and upscale 
presence in Maharashtra’s key corporate markets, 
emphasizing sustainability, premium dining, and 
business hospitality for elite clientele statewide.
• Hyatt Hotels \
Hyatt and Grand Hyatt cater to premium 
corporate, MICE, and convention demand, 
anchored by flagship properties in Mumbai and 
Pune, serving global business travel segments.
• Treebo Hotels
Treebo Hotels delivers standardized budget 
accommodation across multiple Maharashtra 
cities, targeting reliability, affordability, and 
consistent experiences for value-focused travelers 
in urban semi-urban markets statewide efficiently.
• The Leela
The Leela’s Mumbai hotel anchors ultra-luxury 
hospitality in Maharashtra, serving high-end 
leisure, diplomatic, and corporate guests with 
iconic positioning and legacy brand prestige 
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• Kamat Hotels
Kamat Hotels blends business and leisure 
hospitality across western Maharashtra, focusing 
on regional cities, highway locations, and 
culturally rooted service models supporting 
domestic tourism growth.
Advantages of Hotel Location Intelligence in 
Mumbai
The Hotel chain listings API Maharashtra provides 
actionable insights for strategic expansion, pricing, and 
operational optimization across competitive hospitality 
market: \
• City Expansion Insights: Analyzing occupancy, 
revenue, and neighborhood-level trends enables 
identification of profitable areas and underserved 
zones. Stakeholders can make informed decisions on 
property placement and brand growth across the 
city.
• Dynamic Pricing Optimization: By comparing 
competitor rates and using historical pricing data, 
hotels can implement dynamic room pricing, 
maximize revenue, improve occupancy, and maintain 
competitiveness across different districts.
• Strategic Asset Evaluation: Investors and operators 
gain data-driven insights for property acquisition, 
franchise assessment, and brand conversions, 
ensuring profitable and strategically aligned 
expansion for any hotel chain.
•wwDwe.mtraanvde lsFcorraepcea.scto Accuracy: sIanlteesg@rattrinagv eloscccruappaen.ccy 
trends, guest feedback, and room-type utilization 
m supports accurate demand ompredictions, resource 
planning, and tailored marketing campaigns, driving 
improved operational efficiency and higher guest 
satisfaction across all hotels.
FIELDS NAME DESCRIPTION
Identifies the brand type, such 
Hotel Name & Brand as The Leela, Oberoi, JW 
Marriott, Fabhotels, or Westin
City, neighborhood, address, 
Location Details
and geographic coordinates
Total rooms and room-type 
Room Inventory
distribution
Average rates, seasonal 
Pricing Indicators fluctuations, and demand 
signals \
Ratings, review volume, and 
Guest Reviews
satisfaction metrics
Insights and Analysis
01
In 2026, Maharashtra’s hospitality sector reflects a 
highly competitive, multi-city, and multi-brand 
landscape, catering to evolving business, corporate, 
leisure, pilgrimage, and long-stay traveler needs. Guest 
review datasets across major cities and emerging 
destinations provide valuable insights into service 
quality and operational performance, enabling hotel 
operators to refine offerings and maintain consistency 
across diverse market segments.
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02
High-demand zones such as Mumbai’s airport corridors 
and business districts, Pune’s IT and industrial hubs, 
Nagpur’s logistics zones, and pilgrimage centers like 
Shirdi and Nashik continue to drive strong occupancy. 
At the same time, emerging locations including Navi 
Mumbai, Thane, Aurangabad, Kolhapur, Lonavala, and 
Konkan coastal towns are increasingly attracting mid-
scale, budget, and extended-stay guests. The growing 
adoption of lifestyle hotels and long-stay formats 
highlights a clear shift toward experience-driven, 
flexible, and longer-duration travel across the state.
03
Top 10 Hotel Chains Data Scraping enables \
stakeholders to monitor hotel distribution, revenue 
potential, and city-wise market coverage across 
Maharashtra. Access to live insights on new openings, 
closures, and rebranding activity enhances operational 
planning, improves market responsiveness, and 
supports data-driven strategic decision-making.
04
Maharashtra’s state-level hospitality insights also serve 
as a benchmark for broader national analysis, helping 
investors, operators, and travel platforms evaluate 
expansion strategies, identify investment opportunities, 
and understand evolving hospitality trends across India.
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Conclusion
As Maharashtra’s hospitality market becomes 
increasingly data-driven, tracking branded hotel 
footprints at a state-wide and city-wise level is critical 
for investors, operators, and travel-tech platforms. 
Through Web Scraping Maharashtra Largest Hotel 
Chains data, stakeholders can monitor competitive 
shifts, identify expansion gaps, and detect oversupply 
risks across cities.
By leveraging Real Time Scrape Maharashtra Largest 
Hotel Chains data API, businesses gain real-time 
visibility into openings, closures, and rebranding 
activity, improving responsiveness and strategic \
accuracy. These Maharashtra insights also support 
broader national benchmarking initiatives, enabling 
stakeholders to Scrape Top Hotel chains in India
 with consistency and precision.
Originally published at 
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