Amazon Product Search Scraper with BrightData, GPT-4, and Google Sheets

This workflow automates web scraping of Amazon search result pages by retrieving raw HTML, cleaning it to retain only the relevant product elements, and then using an LLM to extract structured product data (name, description, rating, reviews, and price), before saving the results back to Google Sheets. It integrates Google Sheets to supply and collect URLs, BrightData to fetch page HTML, a custom n8n Function node to sanitize the HTML, LangChain (OpenRouter GPT-4) to parse product details, and Google Sheets again to store the output. URL to scape . Result Who Needs Amazon Search Result Scraping? This scraping workflow is ideal for teams and businesses that need to monitor Amazon product list

Help me set up the n8n workflow "Amazon Product Search Scraper with BrightData, GPT-4, and Google Sheets" (https://n8n.io/workflows/3901). It uses: Google Sheets, HTTP Request, Code, Basic LLM Chain, Structured Output Parser, OpenRouter Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.