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Automate Trustpilot Review Collection and Analysis Using DeepSeek and OpenAI
Streamline review scraping for sentiment insights with DeepSeek and OpenAI integration in n8n. Efficiently analyze Trustpilot feedback for actionable data.
Streamline review scraping for sentiment insights with DeepSeek and OpenAI integration in n8n. Efficiently analyze Trustpilot feedback for actionable data.
Who is this workflow for? Streamline your analysis of Trustpilot reviews by automating the scraping, extraction, sentiment evaluation, and data storage processes. This workflow leverages DeepSeek for data extraction, OpenAI for sentiment analysis, and Google Sheets for organized storage, enabling efficient and insightful review management..
HTTP Request:
Retrieves review pages from Trustpilot using the company’s unique URL (e.g., https://it.trustpilot.com/review/{{company_id}}
).
Iterates through multiple pages up to a specified max_page
limit to gather extensive review data.
HTML Parsing:
Uses CSS selectors to extract individual review URLs from the fetched pages.
Separates the collected URLs into distinct links for detailed processing.
YYYY-MM-DD
format.json{ "category": "Positive", "confidence": 0.95 }
This workflow is ideal for businesses and professionals who need to monitor and analyze customer feedback on Trustpilot. It serves marketing teams, customer service managers, business analysts, and anyone interested in gaining actionable insights from online reviews without the hassle of manual data handling.
This workflow offers a comprehensive solution for automating the extraction and analysis of Trustpilot reviews. By integrating DeepSeek for data extraction, OpenAI for sentiment analysis, and Google Sheets for data storage, it empowers businesses to efficiently manage and derive meaningful insights from customer feedback.
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