If you’re analyzing Direct-to-Consumer (DTC) strategies for your sports or outdoor brand, you’ve probably wondered: Where exactly has Nike—the world’s largest sports brand in 2024—opened its physical stores? You can browse Nike’s website and painstakingly navigate its map, country by country, but that’s like running a marathon to your refrigerator for a snack. Wouldn’t it be easier to see the big picture?
How many Nike stores exist globally? How many are there per country?
Having a complete database or Excel list of Nike’s physical locations is like finding the golden ticket for your DTC insights. This idea for content came from a conversation with a friend:
“Hi Andrea. I need your help, please. I’m trying to extract a list of all Nike stores from their website with as much detail as possible. Any idea how to do that? I tried using Webpilot on ChatGPT, but it doesn’t go beyond the folder I provided. Nike has this
/retail/directorypage, which lists 75 countries, but then there are subfolders for countries and, in cases like the USA, even for states. Got a quick and easy solution?”
I’m not a developer or an expert in AI or scraping, but I have a technical background, some SEO know-how, and access to a handy AI tool (a Chrome plugin—no fancy software downloads required). So, with some tinkering, I helped my friend get a complete list of Nike stores as of November 2024
Where to find Nike store data and statistics online
Why would someone need a full list of Nike locations? The reasons range from sales planning to reporting, competitive analysis, and uncovering insights for DTC strategies. But let’s face it—if you’re not tech-savvy or experienced with scraping tools, getting this data can feel like deciphering hieroglyphics. Sure, platforms like Statista offer some insights and statistics, but they won’t give you a granular list of store names, addresses, and locations. Or you could turn to services like ScrapeHero, which provides country-specific store data with even more detail than my list (props to them—they’ve built a solid business there).
Nike Store Data Extraction: The DIY Version
For my friend, I scraped Nike’s website and compiled a complete list of store details. Want a sneak peek? Here’s a sample of what I found for Germany. Details Extracted (as of November 2024):
– Store Name
– Address 1
– Address 2
– City
– Zip Code
– Country ISO code
– Region/State (if applicable, by country).
– Country Name
How to Access the Full List
Are you interested in the complete list? Contact me via email at andreafagandigital@gmail.com or connect with me on LinkedIn.
Quick Stats on the Database:
Legal Disclaimer: All data is publicly available and was gathered through web scraping. No insider info—just some good old-fashioned data wrangling.
Total Stores: 1,348 (excluding Mainland China and South Korea).
Excluded Countries: Mainland China and South Korea, due to incomplete data and character formatting issues.
Last Updated: November 10, 2024 (note: data may have minor inaccuracies due to store openings/closures and address updates).
Accuracy: The list reflects data from Nike.com, but I noticed occasional errors on Nike’s side.
Side notes, credits, sources
Images and data: Nike.com.
Shoutout to Nike’s team — though not all the data is perfect, you’ve built an incredible empire of 1,348+ stores worldwide.
