Best Western Hotel Chain Location Data Scraping Usa 2026

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Best Western Hotel Chain
Location Data Scraping
USA 2026: Member Hotel
Footprint Across All 50
States

Introduction
The hospitality industry continues to witness rapid growth in data-driven decision-making, particularly within the economy, midscale, and upscale hotel segments. One of the key drivers for strategic planning is the ability to Best Western Hotel Chain Location Data Scraping USA 2026, enabling organizations to gain comprehensive insights into hotel distribution, occupancy trends, pricing strategies, and guest experiences. By leveraging structured location datasets, businesses can develop actionable intelligence for expansion planning and performance optimization.
Furthermore, implementing advanced Hotel Chains Data Scraping methodologies allows analysts to collect property addresses, brand categories, room inventory, published rates, and customer review information. The Best Western hotel chain footprint analysis across 50 states helps organizations examine the brand's geographic reach, competitive positioning, and regional hospitality opportunities. Best Western's multi-brand ...
... portfolio makes location-based research valuable for businesses seeking to understand market demand, benchmark competitors, and identify expansion opportunities across the United States. All property counts and performance metrics should be validated against current listings and reliable sources before publication.
1,792 Active locations in one October 2026 location dataset
50 States included in the nationwide mapping scope
300+ Potential city and destination research targets

Top States by Number of Best Western Hotels
States with substantial Best Western property coverage provide useful starting points for understanding regional accommodation supply, travel demand, and competitive positioning. The nationwide dataset can help analysts compare urban hotels, highway locations, airport properties, and leisure destinations.

REGIONAL
TEXAS 247
CALIFORNIA 243
FLORIDA 102
NEW YORK 58
WASHINGTON 56
ILLINOIS 56
City Level Granularity
Total Cities Covered: 300+ potential city and regional research targets, including San Antonio, Houston, Corpus Christi, Miami, Fort Lauderdale, Los Angeles, San Diego, Seattle, Chicago, and Phoenix
High Occupancy Hubs :
Houston 89%*
San Antonio 91%*
Miami 88%*
Phoenix 87%*
San Diego 86%*

Top States with Most Best Western Hotels in the USA
Based on the cited third-party location dataset, the states with the largest recorded numbers of Best Western locations include:
Rank 01 — Texas: Total Hotels: 247; Key Cities: San Antonio, Houston, Corpus Christi
Rank 02 — California: Total Hotels: 243; Key Cities: Los Angeles, San Diego, San Bernardino
Rank 03 — Florida: Total Hotels: 102; Key Cities: Miami, Fort Lauderdale, Bradenton
Rank 04 — New York: Total Hotels: 58; Key Cities: New York City, Albany, Buffalo
Rank 05 — Washington: Total Hotels: 56; Key Cities: Seattle, Spokane, Tacoma
Rank 06 — Illinois: Total Hotels: 56; Key Cities: Chicago, Springfield, Peoria
These regions provide useful examples for examining accommodation concentration, travel corridors, and regional demand. The dataset can support Hotel Chain Location Intelligence by connecting property coordinates with city, state, and brand classifications.
Best Western Hotels in Key US Cities
Rank 01 — San Antonio: Hotels: 15; Avg Review: To be verified; Star Rating: Varies by property; Starting Price: Date-dependent
Rank 02 — Houston: Hotels: 12; Avg Review: To be verified; Star Rating: Varies by property; Starting Price: Date-dependent
Rank 03 — Corpus Christi: Hotels: 7; Avg Review: To be verified; Star Rating: Varies by property; Starting Price: Date-dependent
Rank 04 — Miami: Hotels: 7; Avg Review: To be verified; Star Rating: Varies by property; Starting Price: Date-dependent
Rank 05 — Fort Lauderdale: Hotels: 5; Avg Review: To be verified; Star Rating: Varies by property; Starting Price: Date-dependent
City counts are from the referenced location dataset. Review scores, star ratings, and starting prices require separate, date-specific verification.
This table highlights cities with measurable Best Western location coverage. Analysts can use Best Western hotel chain location mapping across the USA to compare accommodation availability, map local competitors, and study the relationship between hotel locations and commercial or leisure travel destinations.
Best Western Hotels with High Occupancy Rates
Rank 01 — Best Western property: City: San Antonio; Star Rating: Verify source; Review Score: Verify source; Total Rooms: Verify source; Occupancy Rate (%): Verify source
Rank 02 — Best Western property: City: Houston; Star Rating: Verify source; Review Score: Verify source; Total Rooms: Verify source; Occupancy Rate (%): Verify source
Rank 03 — Best Western property: City: San Diego; Star Rating: Verify source; Review Score: Verify source; Total Rooms: Verify source; Occupancy Rate (%): Verify source
Rank 04 — Best Western property: City: Phoenix; Star Rating: Verify source; Review Score: Verify source; Total Rooms: Verify source; Occupancy Rate (%): Verify source
Hotels with high occupancy rates can demonstrate how structured hospitality data supports pricing optimization, demand forecasting, and operational planning. However, location counts alone cannot establish occupancy performance. Verified property names, room counts, review scores, and occupancy rates must come from reliable hotel-level records for a defined reporting period.
Distribution of Best Western Hotels Across Major US Cities
Rank 01 — San Antonio: Number of Hotels: 15; Total Rooms: To be verified; Avg Review Score: To be verified; Starting Price (USD): To be verified
Rank 02 — Houston: Number of Hotels: 12; Total Rooms: To be verified; Avg Review Score: To be verified; Starting Price (USD): To be verified
Rank 03 — Corpus Christi: Number of Hotels: 7; Total Rooms: To be verified; Avg Review Score: To be verified; Starting Price (USD): To be verified
Rank 04 — Miami: Number of Hotels: 7; Total Rooms: To be verified; Avg Review Score: To be verified; Starting Price (USD): To be verified
Rank 05 — Fort Lauderdale: Number of Hotels: 5; Total Rooms: To be verified; Avg Review Score: To be verified; Starting Price (USD): To be verified
City location counts reflect the cited third-party dataset and should be revalidated before commercial use.
This table provides an overview of Best Western's city-level footprint in selected U.S. markets, supporting geographic analysis for hospitality planners, investors, and travel intelligence providers.
The Best Western hotel chain footprint analysis across 50 states provides a structured way to identify location concentrations, compare regional coverage, and investigate potential opportunities for market expansion.
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Advantages of Best Western Hotel Location Data Over Generic Hotel Datasets
Best Western-focused datasets provide actionable intelligence designed to support smarter planning, stronger competitive positioning, and data-driven growth across the hospitality ecosystem. By utilizing structured and regularly updated information, organizations can uncover insights into property distribution, brand coverage, and regional opportunities.
Revenue Management Teams: Help optimize pricing strategies by analyzing demand fluctuations, published room rates, and seasonal booking patterns across hotel locations.
Market Research & Analytics Firms: Enable detailed studies of regional hotel supply, customer preferences, and brand penetration to support strategic reporting and forecasting.
Franchise Development & Expansion Teams: Assist in identifying high-potential territories and evaluating new property opportunities based on geographic coverage and market demand indicators.
Digital Travel Aggregators & OTAs: Improve listing accuracy, location matching, and search relevance through standardized property information and consistent brand classifications.
Property Identifier: Unique property name, identifier, and brand classification
Geographic Information: Detailed address, city, state, ZIP code, and geographic coordinates
Inventory Metrics: Total rooms, accommodation types, and availability where accessible
Rate Intelligence: Published pricing, weekday versus weekend rates, and seasonal changes
Customer Experience Data: Review scores, review volume, sentiment analysis, and feedback trends
Insights and Analysis
01
Strategic Corridor Placement
Best Western properties serve diverse travel markets, including commercial corridors, airports, interstate highways, and leisure destinations. Mapping hotel locations against transport infrastructure helps organizations evaluate regional accessibility, accommodation clusters, and potential opportunities for improving market coverage.
02
Demand-Driven Brand Positioning
Best Western's portfolio includes multiple hotel brands and accommodation categories. Analyzing the distribution of these brands helps businesses understand differences in positioning, target customers, and geographic reach across economy, midscale, and upscale hospitality segments.
03
Dynamic Yield Management
Published hotel rates can be tracked across different destinations, room categories, and booking dates. Comparing these prices with competitor rates and seasonal travel patterns helps analysts identify pricing variations and develop informed revenue management strategies.
04
Data-Led Competitive Mapping
Structured property records allow businesses to identify competitor concentrations, assess geographic gaps, and evaluate regional expansion opportunities. Best Western hotel chain competitive intelligence can support decisions about market entry, portfolio positioning, and regional benchmarking.
05
Experience-Centric Improvements
Analyzing guest reviews, ratings, and service feedback helps identify customer preferences and recurring concerns. Hotel Data Scraping can organize publicly available property information and review indicators into consistent datasets, subject to applicable website terms and data-use requirements.
Conclusion
By leveraging advanced location research, businesses can gain valuable insights into Best Western's property distribution, brand coverage, and regional hospitality opportunities across the United States. A structured dataset spanning all 50 states provides a foundation for evaluating geographic concentration, accommodation supply, and competitive positioning.
Using methods to Scrape Best Western hotel chain locations by brand and state helps analysts organize property records, compare regional coverage, and monitor changes across the hotel network. Integrating a Best Western hotel data API can further support automated updates to addresses, brand classifications, and available property attributes.
Finally, combining verified location records with Hotel Data Intelligence helps hospitality planners, investors, and market researchers make informed decisions, identify expansion opportunities, and strengthen their understanding of the U.S. hospitality industry.

Source: https://www.travelscrape.com/best-western-hotel-chain-location-data-scraping-usa.php
Original: https://www.travelscrape.com

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