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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Customers worldwide
Pages extracted
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€199 / one-time
setup fee — included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
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.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
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.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
