With Shopify scraper, we extract data from individual Shopify stores. You get clean, structured information - ready for analysis, launching your own store, or evaluating competitors. Shopify powers over 4 million active stores in 175+ countries - from global brands like Heinz, Allbirds, and Red Bull to thousands of fast-growing niche businesses. By scraping Shopify, you're tapping into one of the richest ecosystems of modern e-commerce.
We act as your personal web scraper. You tell us which Shopify stores to pull data from - we handle the platform’s structure, bypass limitations, and export everything in your preferred format: CSV, Excel, or JSON.
Don’t have a list of stores? No problem. We identify Shopify-based sites based on your criteria and scrape Shopify data from the selected ones - saving you time and ensuring full market coverage. Our experience with Shopify scraping means you get accurate, ready-to-use data fast, with no need to deal with APIs or technical setups.
Our Shopify data scraper pulls product details directly from each product page. You get clear, structured information that’s easy to work with, including:
Beyond the core product data, our Shopify data scraper can also deliver extra details that add more context and depth to each listing. These insights help you better understand how sellers structure their offers, present their products, and build customer trust.
Unlike traditional marketplaces, shopify.com powers millions of standalone online stores - each built and operated by independent merchants. From indie brands in Brooklyn to enterprise retailers in Berlin, Shopify is the backbone behind customized storefronts with unique pricing models, designs, and strategies.
You won’t find a universal catalog or centralized filters here. Instead, Shopify reflects how businesses experiment: testing product bundles, tweaking SEO, adapting payment methods, and adjusting language or currency per region.
Scraping data from Shopify sites opens a direct view into real e-commerce behavior - how brands tell their stories, optimize listings, and respond to market shifts. Whether you're studying niche products or scaling strategies, the Shopify ecosystem is a living lab of global retail.
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Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€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 our Shopify scraper, you get live product information at the individual item level - including price changes, new arrivals, bestsellers, reviews, and metadata. Parsing this data helps you:
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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.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a data services company specializing in web scraping across industries. Our team has collected structured data from marketplaces, e-commerce platforms, product catalogs, real estate listings, review sites, and more.
As your dedicated Shopify web scraper, we offer fast and reliable solutions fully adapted to your needs. You don’t need to deal with complex tools or build your own scraping system. We take care of everything for you.
Yes, we can track dozens or even hundreds of stores simultaneously - each with its own data stream and update schedule.
Yes. Our extractor is flexible enough to handle both default and custom themes - we adapt to the specific structure of each store.
Our scraper is built for scale. We process large catalogs quickly and can deliver either the full dataset or just the latest changes.
Because Shopify powers millions of independent stores - tracking them gives you insight into niche trends, pricing strategies, and fast-moving products.
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
