📊 Extract Amazon product data with Scrape.do, GPT-4 & Google Sheets

⚡ 742 views · 📊 Market Research & Insights

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Description

Amazon Product Scraper with Scrape.do & AI Enrichment

> This workflow is a fully automated Amazon product data extraction engine. It reads product URLs from a Google Sheet, uses Scrape.do to reliably fetch each product page’s HTML without getting blocked, and then applies an AI-powered extraction process to capture key product details such as name, price, rating, review count, and description. All structured results are neatly stored back into a Google Sheet for easy access and analysis.

This template is designed for consistency and scalability—ideal for marketers, analysts, and e-commerce professionals who need clean product data at scale.

🚀 What does this workflow do?

• Reads Input URLs: Pulls a list of Amazon product URLs from a Google Sheet.
• Scrapes HTML Reliably: Uses Scrape.do to bypass Amazon’s anti-bot measures, ensuring the page HTML is always retrieved successfully.
• Cleans & Pre-processes HTML: Strips scripts, styles, and unnecessary markup, isolating only relevant sections like title, price, ratings, and feature bullets.
• AI-Powered Data Extraction: A LangChain/OpenRouter GPT-4 node verifies and enriches key fields—product name, price, rating, reviews, and description.
• Stores Structured Results: Appends all extracted and verified product data to a results tab in Google Sheets.
• Batch & Loop Control: Handles multiple URLs efficiently with Split In Batches to process as many products as you need.

🎯 Who is this for?

• E-commerce Sellers & Dropshippers: Track competitor prices, ratings, and key product features automatically.
• Marketing & SEO Teams: Collect product descriptions and reviews to optimize campaigns and content.
• Analysts & Data Teams: Build accurate product databases without manual copy-paste work.

✨ Benefits

• High Success Rate: Scrape.do handles proxy rotation and CAPTCHA challenges automatically, outperforming traditional scrapers.
• AI Validation: LLM verification ensures data accuracy and fills in gaps when HTML elements vary.
• Full Automation: Runs on-demand or on a schedule to keep product datasets fresh.
• Clean Output: Results are neatly organized in Google Sheets, ready for reporting or integration with other tools.

⚙️ How it Works

1. Manual or Scheduled Trigger: Start the workflow manually or via a cron schedule.
2. Input Source: Fetch URLs from a Google Sheet (TRACK_SHEET_GID).
3. Scrape with Scrape.do: Retrieve full HTML from each Amazon product page using your SCRAPEDO_TOKEN.
4. Clean & Pre-Extract: Strip irrelevant code and use regex to pre-extract key fields.
5. AI Extraction & Verification: LangChain GPT-4 model refines and validates product name, description, price, rating, and reviews.
6. Save Results: Append enriched product data to the results sheet (RESULTS_SHEET_GID).

📋 n8n Nodes Used

• Manual Trigger / Schedule Trigger
• Google Sheets (read & append)
• Split In Batches
• HTTP Request (Scrape.do)
• Code (clean & pre-extract HTML)
• LangChain LLM (OpenRouter GPT-4)
• Structured Output Parser

🔑 Prerequisites

• Active n8n instance.
• Scrape.do API token (bypasses Amazon anti-bot measures).
• Google Sheets with:
  • TRACK_SHEET_GID: tab containing product URLs.
  • RESULTS_SHEET_GID: tab for results.
• Google Sheets OAuth2 credentials shared with your service account.
• OpenRouter / OpenAI API credentials for the GPT-4 model.

🛠️ Setup

1. Import the Workflow into your n8n instance.
2. Set Workflow Variables:
   • SCRAPEDO_TOKEN – your Scrape.do API key.
   • WEB_SHEET_ID – Google Sheet ID.
   • TRACK_SHEET_GID – sheet/tab name for input URLs.
   • RESULTS_SHEET_GID – sheet/tab name for results.
3. Configure Credentials for Google Sheets and OpenRouter.
4. Map Columns in the “add results” node to match your Google Sheet (e.g., name, price, rating, reviews, description).
5. Run or Schedule: Start manually or configure a schedule for continuous data extraction.

This Amazon Product Scraper delivers fast, reliable, and AI-enriched product data, ensuring your e-commerce analytics, pricing strategies, or market research stay accurate and fully automated.

🔗 Nodes Used

Google Sheets, HTTP Request, Basic LLM Chain, OpenAI Chat Model, Structured Output Parser

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup