Jan 06, 2025

Web Scraping Dunkin vs. Starbucks Location Data

web-scraping-dunkin-vs-starbucks-location-data

Introduction

The rivalry between Dunkin' and Starbucks is one of the most prominent in the coffee retail industry. Both brands compete fiercely in terms of store locations, customer accessibility, and market penetration. For Mobile App Scraping, analyzing Dunkin vs. Starbucks Location Data using web scraping methods provides valuable insights into their market strategies and performance.

This report leverages advanced web scraping technologies to collect and analyze Dunkin vs. Starbucks Store data, highlighting differences in location density, regional preferences, and proximity to competitors. By incorporating Web Scraping Dunkin data and Web Scraping Starbucks data, this study presents a comprehensive overview of their geographical footprints.

Methodology

Methodology

Data Collection

1.Tools Used:

  • Python libraries: BeautifulSoup, Scrapy.
  • Automation: Selenium for dynamic content scraping.
  • Cloud-based scraping tools for scalability.

2.Web Scraping Sources:

  • Official Dunkin’ and Starbucks store locators.
  • Third-party directories and mapping platforms.

3.Data Points Extracted:

  • Store address.
  • City and state.
  • Zip code.
  • GPS coordinates (latitude and longitude).
  • Operating hours.
  • Contact information.

Findings and Analysis

Overview of Store Locations

Metric Dunkin' Starbucks
Total Locations Scraped 12,500 15,000
Cities Covered 3,000+ 2,800+
50 States Covered 50
Average Stores per City 4.2 5.4

Regional Density

Regional-Density

Dunkin:

  • Strong presence in the northeastern United States, particularly in cities like Boston and New York.
  • Limited store density in the western states.

Starbucks:

  • Nationwide presence with higher density in urban and suburban areas.
  • Dominates the west coast, especially in California and Washington.

Location Proximity Analysis

Location-Proximity-Analysis

Using extract Dunkin vs. Starbucks location data, we identified:

  • Overlap in 70% of metropolitan areas.
  • Starbucks’ preference for urban centers, while Dunkin’ often targets suburban and commuter-friendly locations.

Key Comparisons

Store Accessibility

Metric Dunkin' Starbucks
Average Distance Between Stores 1.3 miles 0.9 miles
Drive-Thru Availability 70% 50%
Walkability Score Moderate High

Operating Hours

Day Dunkin' Hours Starbucks Hours
Weekdays 5:00 AM - 10:00 PM 6:00 AM - 9:00 PM
Weekends 6:00 AM 11:00 PM 7:00 AM - 10:00 PM

Popular Menu Pairings

Using customer review scraping:

  • Dunkin: Breakfast sandwiches, donuts, coffee.
  • Starbucks: Specialty coffee, pastries, seasonal drinks.

Insights

Insights

Market Strategies

1.Dunkin:

  • Targets commuter traffic with a focus on drive-thru locations.
  • Emphasizes affordability and simplicity.

2.Starbucks:

  • Focuses on creating premium coffee experiences in urban areas.
  • Offers a diverse menu and comfortable seating for social interactions.

Competitive Positioning

Competitive-Positioning
  • Dunkin vs. Starbucks Store data reveals a strategic choice by Dunkin' to saturate areas with high commuter traffic.
  • Starbucks leverages its brand appeal to position itself in high-visibility urban locations.

Conclusion:

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Web scraping of Dunkin vs. Starbucks Location Data has highlighted the distinct strategies employed by these two coffee giants. From location density to operating hours and proximity analysis, the data underscores the competitive dynamics of their market positioning.

For businesses seeking actionable insights, Mobile App Scraping provides specialized Squarespace Data Scraping Services, Web Scraping Services, and Mobile App Scraping Services tailored to the retail and food industry. Contact us to explore how web scraping can empower your business to stay ahead in the competitive landscape.

Leverage Mobile App Scraping to scrape, analyze, and act on critical market data to transform your business strategies today!