Block 1 - OpenRouter Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
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 prod...
@n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.httprequest, n8n-nodes-base.stickynote, n8n-nodes-base.manualtrigger, n8n-nodes-base.splitinbatches, n8n-nodes-base.googlesheets, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by phil.
Original n8n.io sourceThis 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
This scraping workflow is ideal for teams and businesses that need to monitor Amazon product listings at scale:
If you need reliable, structured data from Amazon search results delivered directly into your spreadsheets, this workflow saves you hours of manual copy-and-paste.
name, description, rating, reviews, priceBRIGHTDATA_TOKEN. {{WEB_SHEET_ID}}, {{TRACK_SHEET_GID}}, and {{RESULTS_SHEET_GID}} placeholders. BRIGHTDATA_TOKEN credential is selected on the HTTP Request node.This workflow delivers a fully automated, scalable solution to extract structured product data from Amazon search pages directly into Google Sheets—streamlining your competitive analysis and data collection. 🚀
.
🇫🇷 Contactez nous pour automatiser vos processus
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Amazon product search scraper with BrightData, GPT-4, and Google Sheets |
|---|---|
| Complexity | intermediate |
| Nodes | 11 |
| Categories | Market Research, AI Summarization |
| Author | phil |
| Published | 06 May 2025 |
Use the JSON export at /data/workflows/3901/3901.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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 prod...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.