Amazon Best Seller Data Extraction with AI and Bright Data

This n8n workflow automates the process of extracting real-time Amazon best seller electronics data by leveraging Bright Data for web scraping, Google Gemini for language understanding, and LangChain for information extraction. It starts with a manual trigger to initiate the workflow, where the user sets the target URL and zone. The workflow then sends a POST request to Bright Data’s API to scrape the Amazon best sellers page, fetching raw HTML data. This data is processed by an AI-powered information extractor, using custom prompts to isolate relevant details such as product titles, images, ratings, offers, and URLs. The extracted structured data is then optionally sent to an external webhook for further processing or notification. This workflow is ideal for market research, competitive analysis, or updating a product catalog with the latest best seller details automatically.