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
Pages extracted
Hours saved for our clients
Customized scraping setup for Shopify — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
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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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.
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.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
