E-commerce websites scraping made easy using AI scraper
E-commerce websites are typically challenging to extract data from because they involve complex HTML element structures and may undergo frequent updates, which can change the layout and invariably impact CSS selectors. This means that, for example, a CSS selector used to extract a product price may be changed in future website updates, thereby affecting the consistency of your scraping process.
Furthermore, dynamic e-commerce websites may have different structures for different products or product categories. Making extracting key information rather difficult as CSS element vary across product items.
The JigsawStack's AI Scraper takes a novel approach to tackle situations like this. By leveraging intuitive prompts, it effortlessly extracts data from any website, eliminating the need for complex selectors or scripts. Unlike traditional methods that require knowledge of specific selectors (e.g: .product-category.product-price), JigsawStack's AI Scraper uses natural language prompts (e.g., "product price") to retrieve the desired data. This approach ensures that even when selectors are updated or changed, the AI Scraper continues to retrieve the same accurate data.
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