Scrape Trustpilot Reviews with DeepSeek & Analyze Sentiment with OpenAI

This n8n workflow streamlines the collection and analysis of customer reviews from Trustpilot. It begins by fetching paginated review pages via HTTP requests, parsing HTML to extract individual review URLs, and then uses DeepSeek's Information Extractor to pull key details like author, rating, date, title, text, total reviews, and country from each review page.

Next, it employs OpenAI for advanced sentiment analysis, classifying reviews as Positive, Neutral, or Negative with confidence scores. This adds actionable insights beyond raw data, helping businesses gauge customer satisfaction trends.

Finally, all processed data—including extracted fields and sentiment results—is appended to a Google Sheet for seamless tracking, reporting, and visualization. Benefits include time savings on manual review monitoring, scalable pagination (up to max_page limit), and AI-powered insights for reputation management. Ideal use cases: e-commerce brands tracking feedback, agencies monitoring client reviews, or marketers analyzing competitor sentiment in content monetization strategies.