Need access to structured product data from one of the most iconic department stores in the U.S.? Our Macy’s scraper helps you extract detailed information from macys.com — from fashion and beauty to home essentials and seasonal offers. Whether you're analyzing trends or building your own product feed, Macy’s data is a valuable reference in American retail.
ScrapeIt works as your dedicated Macy’s web scraper, collecting only the information you need from macys.com — nothing more, nothing less. We don’t offer a platform or tool. Instead, we deliver ready-to-use product data tailored to your business goals.
Just tell us what you’re looking for — product titles, prices, descriptions, brands, sizes, or categories — and we’ll deliver it in the format you prefer, such as CSV, Excel, or JSON. No manual scraping, no complex interfaces — just clean, structured data directly from Macy’s.
When we scrape Macy’s, here’s the kind of product data we typically deliver:
This information helps you understand how Macy’s structures and presents its catalog — essential for content mapping and competitive positioning.
Beyond product basics, our Macy’s scraper also captures layers of data that help you see how each item performs and connects within the store’s ecosystem:
These elements give extra context to Macy’s merchandising logic — useful for pricing analysis, UX evaluation, and assortment planning.
Macy’s is one of the most iconic department store chains in the United States, with a history dating back to 1858. Known for its flagship store in New York’s Herald Square, Macy’s has become a household name in American retail, combining tradition with a modern digital presence through macys.com.
What sets Macy’s apart is its broad assortment — from designer fashion and beauty products to home décor, furniture, jewelry, and seasonal gifts. Unlike niche retailers, Macy’s positions itself as a one-stop destination for both everyday essentials and luxury goods.
The online store operates under the macys.com domain, available in English and using USD for transactions. While its core focus is the U.S. market, Macy’s also provides international shipping for selected products. The site is recognized not just for its variety but also for its strong promotional culture — with regular sales, discount events, and loyalty rewards.
Macy’s remains unique in the retail space by blending heritage and scale with constant innovation, making its data especially valuable for anyone analyzing the U.S. retail and fashion landscape.
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setup fee €499
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setup fee €499
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setup fee €499
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setup fee €799
With this data, you can compare pricing strategies, follow promotions across categories, track availability shifts, and identify trends in fashion, beauty, and home goods. For eCommerce businesses, resellers, or analysts, Macy’s data provides a window into customer expectations and competitive benchmarks across the American retail market.
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ScrapeIt is a data solutions company offering professional parsing services across multiple industries. With tools like our Macy’s scraper, we deliver structured product information for the eCommerce sector, but our expertise goes far beyond retail. We also work with real estate platforms, automotive listings, and job portals — always focusing on accuracy, relevance, and efficiency. Whatever the industry, we provide ready-to-use datasets that help businesses make informed decisions without the complexity of managing scrapers in-house.
Yes, our extractor can target specific categories, brands, or items.
We can export the data as CSV, Excel, or JSON — or in other formats convenient for you.
No, the parsing is done entirely by us — you just receive the dataset.
A product page usually contains pricing, descriptions, images, and stock status.
We focus on clean, structured product information that’s ready to use.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
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