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Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI
Description
In the digital age, businesses often overlook the wealth of feedback available on platforms like Trustpilot. Manually sifting through numerous reviews can be time-consuming and prone to human error. This workflow addresses the frustrating challenge of collecting and analyzing customer sentiment by automating the review scraping process. Instead of spending hours navigating through pages of reviews, professionals can instantly access valuable insights that can drive improvements in customer service and product offerings.
This n8n workflow begins with a manual trigger, allowing users to specify the company name registered on Trustpilot and the maximum number of pages to scrape. The 'httpRequest' node retrieves the HTML content of the specified Trustpilot page. Next, the 'informationExtractor' node parses the HTML to extract review data, while the 'splitOut' node organizes the information for further processing. The workflow then employs the 'if' and 'limit' nodes to manage data flow and ensure that only relevant reviews are sent for sentiment analysis via OpenAI. Finally, the results are compiled and stored in Google Sheets for easy access and reporting.
This workflow is tailored for marketing professionals, data analysts, and customer experience teams who require quick access to customer feedback. For instance, a marketing team can analyze recent reviews to adapt their promotional strategies, while a product development team might use the insights to refine features based on user sentiment. Additionally, customer support teams can proactively address common complaints highlighted in reviews, leading to improved service.
To get started with this workflow, deploy it through n8n's FlowEngine, where you can customize specific parameters like company name and page limits. Once set up, you can easily edit the workflow to fit your unique requirements. With just a few clicks, you’ll be able to automate the process of scraping Trustpilot reviews and analyzing sentiment effectively.
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