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Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI

Automated workflow: Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI. This workflow integrates 13 different services: stickyNote, httpRequest, splitOut, infor

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Why Use This Automation

Unlock the power of automated customer feedback analysis with this advanced n8n workflow that seamlessly scrapes Trustpilot reviews and performs AI-driven sentiment analysis. By combining web scraping technologies with OpenAI's powerful language models, businesses can transform raw customer reviews into actionable insights, monitoring brand perception, tracking customer satisfaction, and identifying emerging trends in real-time. This automation eliminates manual review processing, providing e-commerce, marketing, and customer support teams with comprehensive, data-driven intelligence about their brand's online reputation.

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Time Savings

Reduce customer feedback analysis time by 85-90%, saving 8-12 hours per week

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Cost Savings

Eliminate $3,000-$5,000 monthly costs associated with manual review monitoring and analysis

Key Benefits

  • Automatically extract and analyze 100+ Trustpilot reviews in minutes
  • Gain precise sentiment insights using advanced AI technology
  • Eliminate manual review monitoring and data entry
  • Create real-time customer feedback dashboards
  • Identify emerging customer experience trends instantly

How It Works

The workflow initiates by triggering an HTTP request to scrape Trustpilot reviews using DeepSeek's information extraction capabilities. Each review is processed through conditional logic nodes to filter and validate data. The workflow then leverages OpenAI's sentiment analysis models to categorize and score review sentiment. Processed data is automatically transformed and stored in Google Sheets, creating a comprehensive, real-time customer feedback repository that enables instant insights and trend tracking.

Industry Applications

Marketing

Marketing teams can monitor brand perception across different customer segments, using sentiment analysis to refine messaging and understand the emotional impact of their campaigns.

E-commerce

Online retailers can track product review sentiment, quickly identifying potential issues with specific products or customer experience pain points. This allows for rapid product improvements and targeted customer service interventions.

Customer Support

Support teams can proactively identify recurring issues, track resolution effectiveness, and measure customer satisfaction trends across different support channels and interactions.