This n8n workflow is designed to scrape reviews from Trustpilot for a specified company, extract detailed review information, analyze sentiment, and store the results in Google Sheets for easy tracking and analysis. Starting with manual trigger, it fetches multiple review pages, extracts review links, and retrieves individual reviews. The workflow then uses language models to extract review details such as author, rating, date, and review text. Sentiment analysis categorizes reviews into positive, neutral, or negative sentiments, and all data is systematically updated into a Google Sheet. This automation is ideal for companies wanting to monitor customer feedback efficiently, perform sentiment analysis, and maintain an organized review database without manual effort.
Automated Trustpilot Review Scraper and Sentiment Analyzer
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.sentimentAnalysis, googleSheets, html, httpRequest, if, limit, manualTrigger, set, splitOut, stickyNote |
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