Automated Trustpilot Review Scraping and Sentiment Analysis with OpenAI

Overview

This workflow automates the process of collecting Trustpilot reviews, extracting key information, and analyzing sentiment using OpenAI's language models. It streamlines review management and provides actionable insights for businesses.

Key Features

• Automated Scraping: Retrieves reviews from Trustpilot efficiently.
• Information Extraction: Uses advanced language models to extract relevant data from reviews.
• Sentiment Analysis: Applies OpenAI to determine the sentiment of each review.
• Conditional Logic: Employs decision nodes to filter and process data based on sentiment or other criteria.
• Data Organization: Integrates with Google Sheets for structured storage and easy access to results.

Benefits

• Time Savings: Eliminates manual review collection and analysis, saving significant operational time.
• Actionable Insights: Provides clear sentiment breakdowns to inform marketing and customer service strategies.
• Scalability: Handles large volumes of reviews with consistent accuracy.
• Integration Ready: Easily connects with other tools for further automation or reporting.

Use Cases

• Reputation Management: Monitor and respond to customer feedback proactively.
• Market Analysis: Identify trends and areas for improvement based on real customer sentiment.
• Customer Support: Prioritize responses to negative reviews for improved satisfaction.

Integrations & Processes

Key integrations include Trustpilot for data sourcing, OpenAI for sentiment analysis, and Google Sheets for data storage. The workflow leverages n8n's automation capabilities to orchestrate these processes seamlessly.