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Introduction

The U.S. coffee market continues to be heavily influenced by one dominant player: Starbucks. Using US Coffee Store Data Scraping, Actowiz Solutions has conducted a detailed research report analyzing the Starbucks Store Count in United States as of 2025. By tapping into publicly accessible sources, proprietary location datasets, and advanced scraping techniques, we mapped store growth trends, geographic distributions, and closures over the past five years (2020–2025). These insights shed light on Starbucks’s strategic expansion, contraction, and overall footprint—providing a data-driven foundation for competitive benchmarking, retail strategy, and investment decisions.

Scraping Starbucks Store Count Data in USA 2025

Real-Time Electronics Price Tracking for Black Friday – 2025 Insights

Between 2020 and 2025, Starbucks undertook a steady growth in its U.S. store network. Based on Scraping Starbucks Store Count Data in USA 2025, our report identifies the following annual store totals:

Year Total Starbucks Stores (USA)
2020 ~ 15,328
2021 ~ 15,729
2022 ~ 16,122
2023 ~ 16,511
2024 ~ 16,980
2025 ~ 17,445

These figures demonstrate a compound annual growth rate (CAGR) of around 2.6%, indicating measured expansion. This growth has been driven not just by traditional storefronts, but also by increased pickup‑only and drive-thru formats, showing Starbucks’s adaptation to evolving consumer behaviors through US Coffee Store Data Scraping. Tracking this growth provides critical insight into how Starbucks is scaling and where new opportunities or risks may lie.

Extract Starbucks Stores Location Data

Geographic distribution is central to Starbucks’s expansion strategy. Through Extract Starbucks Stores Location Data, our analysis reveals state-level concentrations, with some notable trends:

  • As of 2025, approximately 17,286 Starbucks locations operate in the United States.
  • California leads by a wide margin, with over 3,180 stores, making up roughly 18–19% of the national total.
  • Other high-density states include Texas (1,473), Florida (around 940), and New York (~760–770).

This location data highlights Starbucks’s strong presence in populous states and identifies potential regions for future growth or rationalization based on saturation. Having such granular location intelligence can guide real estate strategy, competitive positioning, and store design optimization.

Tracking Starbucks Outlet Across the United States

Using historical data, Actowiz tracked how Starbucks has evolved across states with Tracking Starbucks Outlet Across the United States. Key observations include:

  • From 2020 to 2025, Starbucks added approximately 2,100–2,200 new U.S. stores, reflecting sustained but not explosive expansion.
  • The pickup-only or drive-thru formats have increased: in 2020, only ~22% of new outlets were these formats; by 2025, that share climbed to ~41%.
  • Some older, underperforming stores are being shuttered. In 2025, Starbucks announced plans to close hundreds of locations—particularly mobile‑order or pick-up-only stores.

These trends underscore a strategic shift: boosting convenience-oriented formats (drive-thru, pickup) while optimizing its physical footprint. Scraped outlet tracking helps stakeholders understand not just how many stores exist, but how their formats are shifting over time.

Web Scraping Starbucks Location Data 2025

Through Web Scraping Starbucks Location Data 2025, our team was able to reconstruct Starbucks’s footprint with high accuracy. This involved scraping proprietary datasets, web directories, and geographic directories to build a unified model. Key insights from this process include:

  • As of mid-2025, sources such as Xmap report 16,730 Starbucks locations in the U.S.
  • According to other intelligence platforms, there are ~17,186 U.S. Starbucks locations.
  • Discrepancies in source counts highlight the value of US Coffee Store Data Scraping: different tools pick up slightly different store counts due to licensing, closures, or format shifts.

This scraping-driven approach ensures that data reflects real-world operating units—licensed or company-owned—and provides businesses with the most reliable view of Starbucks’s presence at any given time.

Web Scraping Starbucks Store Data USA

Going deeper, Web Scraping Starbucks Store Data USA enables the collection of rich metadata beyond just location: store type, operational status, opening year, and service format (drive-thru vs sit-down). Through our analysis:

  • The shift toward drive-thru and pick-up formats is clear. By 2025, over 40% of new or remodeled Starbucks stores cater to convenience-focused service.
  • Closure activity in 2025 is notable: Starbucks has committed to closing about 500 stores as part of a “turnaround plan” to concentrate on profitable or strategic locations.
  • Licensed store growth continues: as reported in Q3 FY25, Starbucks has ~6,799 licensed stores in the U.S.

By scraping these different attributes, stakeholders can develop a multi-dimensional understanding of Starbucks’s strategy—where it’s investing, where it’s pulling back, and how its footprint is structurally evolving.

Starbucks Coffee Data Scraping Services

Actowiz’s Starbucks Coffee Data Scraping Services go beyond simple counts. Combining location scraping with business intelligence, we deliver datasets that include:

  • Store status (open, closed, relocated)
  • Format tagging (drive-thru, pick-up, traditional)
  • Geo-coordinates and state-wise clustering
  • Historic store opening and closure trends (2020–2025)
  • Metadata for competitor benchmarking and retail strategy

This service allows investors, retail planners, and analysts to gauge where Starbucks is focusing its growth, which markets might be over-served, and where value may lie in expansion, acquisition, or partnership.

How Actowiz Solutions Can Help?

Actowiz Solutions excels in delivering high-fidelity market intelligence through advanced scraping and data engineering. For companies looking to benchmark Starbucks or other retail players, we offer:

  • Custom scraping of real-time store data
  • Historical trend reconstruction from 2020 to present
  • Format-level segmentation (drive-thru, pick-up, license)
  • API or dashboard-based delivery for integration with your BI systems
  • Geographic heatmaps and state-level distribution analysis
  • Alerting on store openings, closures, or relocations

Using our capabilities, businesses can operate with a clear, up-to-date view of Starbucks’s U.S. footprint, enabling smarter investment, expansion, and competitive strategy.

Conclusion

Our real-time data–driven research report on Starbucks Store Count in United States offers a granular, data-rich picture of Starbucks’s 2025 store landscape. By leveraging Web Crawling service, which enables automated collection of large-scale structured and unstructured data from multiple online sources efficiently, Web Data Mining, allowing analysis of hidden patterns, trends, and insights from extracted datasets across various regions and store formats, and Live Crawlers & Scheduled Crawlers Services, which ensures continuous monitoring of store openings, closures, and updates in real time, Actowiz equips businesses with the intelligence needed to track Starbucks’s growth, closures, and strategic realignment.

Whether you’re a retail executive, investor, or market strategist, this dataset provides the clarity and competitive edge you need. Contact Actowiz Solutions today to unlock full access to Starbucks location intelligence and make data-driven decisions for your business.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
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1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
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1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

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Case Studies
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Nov 18, 2025

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Starbucks Store Count in United States – 2025 Analysis and Insights

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Supermarket Price Comparison Using Web Scraping - Which Is Cheaper—Big Bazaar, Reliance Fresh, or D-Mart

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Nov 17, 2025

Web Scraping Competitor Pricing for U.S. Retailers - Hourly Price Monitoring for Smarter Decisions

Web Scraping Competitor Pricing for U.S. Retailers enables hourly monitoring of competitor prices, helping businesses stay competitive and make smarter decisions.

Nov 16, 2025

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Dashboard for Pincode-Level Keyword Data Collection from Zepto & Instamart

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Murphy USA Location Data Scraping Reveals Fuel Retail Density Patterns Across Major US Cities

Discover how Murphy USA Location Data Scraping uncovers fuel retail density patterns across major US cities, enabling strategic insights for market expansion and operations.

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Starbucks Store Count in United States – 2025 Analysis and Insights

Explore the Starbucks store count in the United States in 2025 with detailed analysis, trends, regional distribution, and insights for strategic planning.

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Enhancing Airline Operations via Airline Data Scraping from OTAs – Real-Time Insights from Expedia, Priceline, Orbitz, Travelocity, and Kayak

Discover how Airline Data Scraping from OTAs like Expedia, Priceline, Orbitz provides real-time insights to improve airline service quality and operational efficiency.

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Grocery Intelligence — U.S. Online Grocery Product Mapping Report 2025

Explore Grocery Intelligence insights in the U.S. Online Grocery Product Mapping Report 2025 by Actowiz Solutions — SKU trends, pricing gaps, and platform accuracy.

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