AliExpress is the world’s largest B2C marketplace, where millions of users shop directly from manufacturers and sellers in China. It’s the perfect platform for analyzing consumer demand, price dynamics, and product trends in the mass market. With our AliExpress scraper, you get access to the live product data — fast, accurate.
Our AliExpress web scraper is tailored to your business goals: we collect exactly the product information that matters — from pricing and discounts to reviews and delivery terms.
We understand the platform's structure and nuances. Whether you need structured outputs for internal analysis or external tools, we deliver data in the format that fits your workflow — CSV, Excel, or JSON.
AliExpress has a layered and dynamic interface that affects how users interact with products. Our AliExpress data scraper extracts:
For clients seeking deeper market insights, our extractor also pulls:
Launched in 2010, AliExpress has become a central platform in the e-commerce ecosystem. Known for its wide selection and competitive pricing, it offers:
AliExpress is essential for dropshippers, online retailers, marketplace sellers, and analytics professionals. The platform — accessible via aliexpress.com — offers millions of products with global shipping, real-time pricing, and detailed seller metrics.
Get a Quote
Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Aliexpress — 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
AliExpress reflects global consumer trends in real time. Using our scraper AliExpress, you can:
Our scraper removes the guesswork — giving you the tools to launch, scale, and compete with confidence.
Learn how to use web scraping to solve data problems for your organization
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
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 build custom parsing services for businesses of all sizes. Whether you're a startup or an enterprise-level company, our AliExpress scraper helps you:
We support any workflow — from one-time exports to scheduled updates, and catalogs with tens of thousands of SKUs. Tell us what you need — and get the data that drives action.
Highly customizable. We can tailor scraping by categories, filters, countries, keywords, presence of reviews or discounts — so you collect only what’s actually useful for your analysis.
Yes. With regular scraping, we store snapshots of product pages — allowing you to see how pricing, descriptions, images, reviews, ratings, and shipping terms evolve. It’s a powerful way to observe seller behavior and market response.
It’s a raw and direct source of user feedback. You can identify recurring complaints, highlight product strengths, evaluate packaging and logistics quality — as well as capture emotional responses from buyers.
Absolutely — and extensively. It’s a key resource for analyzing prices, product demand, shipping speed, and inventory stability.
AliExpress uses dynamic content loading, region-specific pricing, and anti-bot mechanisms — so scraping it reliably requires experience and the right technical setup. We handle these challenges for you: no blocks, no broken data, just clean and complete results in your preferred format.
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
