This workflow automates the process of scraping Amazon’s best seller electronics data, extracting structured information using Bright Data and advanced language models, and delivering the insights via a webhook. Designed for market research, product analysis, and eCommerce optimization, it streamlines data collection from Amazon’s top-selling electronics.
The process begins with a manual trigger indicating workflow initiation. It sets the target Amazon URL and specifies the Bright Data zone for web scraping. An HTTP POST request is then sent to Bright Data’s API, requesting raw data for the specified Amazon best-sellers page.
The retrieved raw data is processed through an information extractor node, where an AI language model (Google Gemini) analyzes the text and extracts relevant product details such as rank, title, image URL, ratings, offers, and product links. This structured data is then optionally sent to a webhook URL for notification or further processing.
An additional note emphasizes the importance of updating the URL and webhook settings before deployment. This workflow is particularly useful for businesses monitoring product trends, managing eCommerce inventories, or conducting competitive analysis by automating the data gathering process on Amazon listings.
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