Alibaba is the world’s largest platform for wholesale sourcing. Every day, millions of companies use it to connect with manufacturers, negotiate prices, and launch new products. It’s the place to track what’s really happening in the global B2B space — from packaging trends to pricing in electronics. With our Alibaba scraper, you’ll get access to this data — fast, clean, and fully structured.
Our Alibaba web scraper is tailored to your specific needs: we collect exactly the product information that matters to you — from pricing, MOQ, and shipping options to technical specs, customer reviews, and supplier offers.
We can scrape Alibaba at scale — reliably, without gaps or delays. Whether you want CSV, Excel, or JSON, we’ll deliver the product data in the format you need — with no extra cleanup required.
Alibaba works differently from B2C marketplaces — and we know how to handle that. Our Alibaba data scraper extracts the key product data directly from each product page, giving you the insights that drive real business decisions.
We can also extract more advanced or less obvious layers of data that give you deeper insights:
Founded in 1999, Alibaba has grown into the world’s central hub for global wholesale trade. You can find everything on alibaba.com — from cosmetic containers to industrial machinery, from novelty items to cutting-edge electronics. But its true value lies not in product variety, but in the ability to work directly with manufacturers, without intermediaries.
The platform serves:
Alibaba is not just a place to buy — it’s a place to negotiate. That’s what makes it such a powerful source of insight for serious business planning.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized plans that grow with your data needs.
€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
Data from Alibaba reveals which categories are becoming saturated, which regions are rising as exporters, and which products are being customized for branding. It’s a practical tool for spotting ideas, partners, and market opportunities.
An Alibaba scraper helps you:
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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.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
At ScrapeIt, we offer parsing services for businesses of all sizes — from early-stage startups to enterprise-level companies. Our clients rely on us to extract data that powers competitive analysis, supplier evaluation, price tracking, and new product launches.
We work across a wide range of industries — including e-commerce platforms, marketplaces, travel sites, automotive listings, real estate portals, and more. Our services adapt to your workflow: from one-time exports to recurring updates, from small data pulls to full-scale catalogs with tens of thousands of listings.
Absolutely — it's one of the most valuable use cases. You get access to real-world data on popular product configurations, pricing, branding options, and order volumes — allowing you to build a strategy based on facts, not guesses.
You can track how prices, shipping terms, product availability, and customer feedback change over time. That helps you catch trends early, spot unstable suppliers, and prepare for negotiations in advance.
Definitely. It’s a powerful tool for finding the right suppliers, verifying true product costs, analyzing packaging strategies, following trends, and shaping your product lineup — all with a direct connection to the supply side.
Yes — especially if you're tracking new arrivals, top-performing categories, seasonal spikes in demand, and how product offerings vary by region. It’s like watching the global storefront in real time.
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
