How to Scrape Products from Aliexpress to CSV

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In this video, I’ll guide you step by step through the process of scraping products from Aliexpress and exporting them into a CSV file using webscraper.io, a powerful and easy-to-use web scraping tool. Web scraping is a great way to automate the extraction of product data like titles, prices, images, and descriptions, saving time and effort. Whether you're looking to gather information for market research, product listings, or personal projects, this tutorial will equip you with all the necessary skills to scrape efficiently from Aliexpress.

First, I’ll show you how to install and set up webscraper.io as a Chrome extension. We’ll navigate through the basic settings and create a new sitemap that will act as a blueprint for the data extraction process. You’ll learn how to identify and select different HTML elements on Aliexpress product pages, such as product titles, prices, ratings, and URLs, which we will later extract and export. The sitemap creation process is crucial as it defines the structure of the data you want to scrape.

Next, I’ll demonstrate how to perform the actual scraping from Aliexpress. We’ll load the product search pages and configure webscraper.io to extract the product information in a structured way. You’ll see how to set pagination so that the scraper can navigate through multiple pages of products automatically. During this section, I’ll explain how to refine the data extraction to avoid errors or missed products, ensuring you get accurate results.

Once the data scraping is complete, I’ll walk you through exporting the scraped product data to a CSV file. This file format is widely supported and perfect for further processing in Excel, Google Sheets, or importing into other systems. I’ll also give tips on how to clean and organize your CSV data, making it easier to analyze or import into other platforms such as WooCommerce or Shopify.

Finally, I’ll cover some best practices and potential pitfalls when scraping from Aliexpress or other websites using webscraper.io. This includes advice on ethical scraping, staying within website terms of service, and troubleshooting common issues like CAPTCHA or page load failures. By the end of this tutorial, you’ll have a clear understanding of how to scrape product data from Aliexpress efficiently and export it into a CSV file using this powerful tool.

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