For hospitality operators, knowing where competitors are located is foundational to strategic planning. Hwy 55 Burgers, Shakes & Fries operates over 150 locations across multiple US states, and understanding that footprint provides actionable insights for market analysis, site selection, and competitive positioning in 2026.

Understanding Hwy 55’s Geographic Footprint

Founded in 1991 as Andy’s Cheesesteaks and Cheeseburgers, Hwy 55 has grown into a recognized regional brand with a concentrated presence in the Southeast and expanding reach beyond its original markets. The chain rebranded to Hwy 55 in 2012 as part of a strategic effort to expand outside its home state.

The majority of Hwy 55 locations are concentrated in North Carolina, with additional restaurants across South Carolina, Florida, Virginia, West Virginia, Georgia, Tennessee, Texas, Montana, and Ohio. The chain operates primarily as a franchise model, with new locations continuing to open in 2026. This geographic concentration means that for hospitality businesses looking at Southeastern markets, Hwy 55 serves as a useful benchmark for consumer traffic patterns, site desirability, and regional brand density.

Why Location Data Matters for Hospitality in 2026

The hospitality industry in 2026 operates on data-driven decision-making. Location intelligence has become a core strategic asset. For businesses in the hotel and restaurant sector, understanding where direct and indirect competitors are located—and analyzing the characteristics of those locations—directly impacts site selection, pricing strategy, and market entry timing.

Current industry data shows that data-driven site selection has improved success rates by over 50% in restaurant expansion projects. This improvement reflects a broader shift across hospitality: intuition-based expansion is being replaced by evidence-based location analysis that draws on comprehensive datasets.

The Information You Can Extract from Restaurant Location Data

When you collect structured location data from a chain like Hwy 55, you gain access to several critical data points:

• Geocoded addresses for precise mapping and catchment area analysis
• Phone numbers and business hours for operational benchmarking
• Geographic distribution patterns that reveal market priorities
• Proximity relationships between locations and other points of interest

How Web Data Extraction Supports Site Selection and Competitive Analysis

Web data extraction—the automated collection of publicly available information from websites—enables hospitality businesses to gather large-scale location datasets efficiently. Rather than manually compiling location lists from chain websites, map services, or franchise directories, automated extraction delivers structured, ready-to-analyze data.

Competitor Footprint Mapping

For a hotel group considering expansion into North Carolina or South Carolina, understanding where Hwy 55 locations are clustered provides insight into consumer behavior patterns. High-density clusters of quick-service restaurants often indicate strong residential or commuter traffic. By extracting location data from multiple chains simultaneously—not just Hwy 55 but other regional and national brands—you build a complete picture of the competitive landscape.

Market Prioritization

The distribution of Hwy 55 locations also reveals where the brand has chosen not to operate. For hospitality businesses, these gaps can signal underserved opportunities or indicate market characteristics that have prevented entry. Combining competitor location data with demographic and traffic information transforms raw addresses into actionable market intelligence.

Competitive Intelligence Beyond Locations

Location data is only the starting point. Comprehensive web data extraction for hospitality extends to:

• Menu and pricing information from restaurant websites
• Customer reviews and ratings from platforms like Google Maps and Yelp
• Operating hours and service offerings
• Franchise investment and fee data for benchmarking

In 2026, web scraping for hospitality has moved beyond simple data collection. It now powers real-time competitive monitoring, helping businesses track changes in competitor operations—new openings, closures, menu updates, and pricing adjustments—as they happen.

Data Quality and Structuring Requirements

For location data to be usable in business intelligence workflows, it must be clean, structured, and regularly updated. Raw data collected from websites often contains inconsistencies: address formats vary, phone numbers may include extensions, and business hours use different conventions.

Professional web data extraction services include data cleaning and normalization as part of the delivery process. This transforms unstructured or semi-structured web content into consistent, query-ready datasets—whether you need CSV exports, JSON feeds, or direct database integration.

How Web Scrape Supports Hospitality Data Intelligence

Web Scrape, founded in 2014 and based in California, specializes in fully managed, enterprise-ready web scraping and data extraction services. The company has extensive experience serving the hotel, travel, and tourism sector, helping organizations collect competitor information, pricing intelligence, and availability data at scale. With a team of web crawling experts and infrastructure capable of processing millions of pages daily, Web Scrape delivers structured datasets tailored to specific business requirements.

For hospitality businesses needing location data—whether for a specific chain like Hwy 55 or for broader market analysis—Web Scrape provides custom extraction solutions that include geocoded addresses, phone numbers, operating hours, and other relevant fields. The company’s fully managed approach handles the technical complexity of web crawling, proxy rotation, and data cleaning, allowing hospitality operators to focus on analysis rather than infrastructure.

Getting Value from Location Datasets

The practical value of a structured location dataset depends on how it integrates with your existing tools and workflows. Most hospitality businesses combine extracted competitor data with:

• Geographic information systems for catchment area analysis
• Customer relationship management platforms for territory planning
• Business intelligence dashboards for ongoing competitive monitoring
• Market research models for demand forecasting

When extracting data for these purposes, the format matters. Many teams prefer CSV or Excel for compatibility with standard analytics tools, while others require JSON or API access for real-time integration into internal systems.

Frequently Asked Questions

How many Hwy 55 Burgers, Shakes & Fries locations are currently operating in the USA?

The chain operates approximately 150 to 170 locations across the United States, with the majority concentrated in North Carolina and growing presence in South Carolina, Florida, Virginia, Texas, Georgia, Tennessee, Ohio, Montana, and West Virginia.

What specific location data can be extracted from Hwy 55’s website and other sources?

A comprehensive extraction can include geocoded addresses, phone numbers, operating hours, store features, and geographic coordinates. More advanced extraction can capture proximity data and relationship mapping between locations.

How is Hwy 55 location data used for competitive analysis in hospitality?

Hospitality businesses use competitor location data to map market saturation, identify expansion gaps, benchmark trade area characteristics, and inform site selection models. The data helps quantify competitive density before committing capital to new locations.

Is web data extraction legal for collecting publicly available location information?

Extracting publicly available information that is not behind login walls or protected by terms of service restrictions is generally lawful when conducted responsibly and at reasonable volumes. Professional web scraping services also ensure compliance with relevant data protection regulations.

How often should location datasets be refreshed for accurate market intelligence?

Refresh frequency depends on your use case. One-time datasets may suffice for historical analysis, but ongoing competitive monitoring requires regular updates—monthly or quarterly refreshes are common for active market planning.

Can Web Scrape provide custom location datasets for other restaurant chains beyond Hwy 55?

Yes. Web Scrape builds custom web crawlers for any publicly accessible website, enabling extraction from multiple chains simultaneously for comprehensive market analysis. The approach is tailored to each client’s specific data requirements.

Conclusion

Understanding competitor locations is a fundamental requirement for effective market planning in the hospitality industry. For chains like Hwy 55 Burgers, Shakes & Fries, comprehensive location data—including geocoded addresses and operational details—provides the foundation for site selection, competitive analysis, and strategic expansion decisions. Web data extraction automates this intelligence gathering, delivering structured, ready-to-use datasets that support evidence-based decision-making. By partnering with a specialist provider like Web Scrape, hospitality businesses can access accurate, up-to-date location intelligence without the overhead of building and maintaining custom scraping infrastructure.