Scrape Trustpilot reviews, analyze sentiment with AI, a

This workflow automates the collection and analysis of Trustpilot reviews by extracting structured data and evaluating text sentiment using AI. Designed for professionals who need to consistently monitor brand reputation and respond quickly to customer feedback.

## Who it´s for
- Marketers tracking brand reputation in reviews
- Analysts gathering Trustpilot data for customer experience analysis
- Business owners wanting to automate review monitoring
- SMM specialists handling customer feedback

## What the automation does
- Starts manually with a specified company name on Trustpilot
- Scrapes reviews: author, rating, date, text, and metadata
- Uses DeepSeek (via LangChain) to extract structured data
- Analyzes sentiment using OpenAI
- Checks Google Sheets for duplicates before saving
- Appends or updates a row with full details

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic (manual start)
- Integrations with Trustpilot, Google Sheets, DeepSeek API, and OpenAI
- Basic written instructions for setup and adaptation

## Requirements for setup
- n8n account with workflow editing access
- API keys for DeepSeek and OpenAI
- Google Sheets access with write permissions
- Trustpilot company URL or name for scraping

## Benefits and outcomes
- Saves time on manual review collection and analysis
- Centralized storage in Google Sheets with sentiment tagging
- Enables quick identification of negative reviews for prompt response
- Structured dataset for long-term customer experience analysis
- Flexible scalability: can be run manually or scheduled via cron

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.