Amazon Product Search Scraper: BrightData, GPT-4, Google Sheets
Automates scraping Amazon search results via BrightData, cleans HTML, extracts structured product data (name, desc, rating, reviews, price) with GPT-4, and saves to Google Sheets.
This workflow automates web scraping of Amazon search result pages by pulling raw HTML from provided URLs using BrightData, cleaning it to isolate product elements via a custom n8n Function node, and leveraging GPT-4 through LangChain (via OpenRouter) to extract structured data including product name, description, rating, review count, and price. Results are then appended back to Google Sheets for easy analysis and storage.
Ideal for e-commerce analysts tracking competitor pricing and trends, market researchers gathering product popularity data, data teams feeding BI pipelines, and affiliate marketers updating catalogs. It eliminates manual copy-pasting, handling thousands of URLs scalably in batches.
Key benefits include end-to-end automation from URL input to JSON output, robust HTML sanitization stripping scripts/styles/noise, accurate AI-powered parsing, and seamless Google Sheets integration for repeatability. This enterprise-grade tool saves hours, ensuring reliable data for procurement and market intelligence.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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