This n8n workflow automates the process of extracting, analyzing, and storing TrustPilot reviews for Bright Data. It begins with a manual trigger, allowing users to initiate the extraction process manually. The workflow sets the URL and Bright Data zone for web scraping, then performs an HTTP request to Bright Data’s API to fetch a webpage of reviews. The content is processed with a language model to extract meaningful textual data from markdown format. Key information is then structured into JSON, saved to disk, and optionally sent to a webhook for further external processing. Additionally, the workflow uses OpenAI’s GPT model for summarizing the reviews and extracting structured data, making it valuable for reputation management, customer feedback analysis, and data aggregation. This setup is ideal for teams needing automated review monitoring and insights from TrustPilot data.
TrustPilot Review Extraction and Summarization Workflow
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, aggregate, code, function, googleSheets, httpRequest, manualTrigger, merge, readWriteFile, set, stickyNote |
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