This workflow streamlines the process of scraping Trustpilot reviews of a specified competitor using Bright Data’s dataset API. Users submit a competitor’s Trustpilot URL and select a review time frame through an n8n form. The workflow then automatically requests review data from Bright Data, continuously polls until the dataset is ready, and retrieves the reviews. It logs all reviews into a Google Sheet for further analysis. The system filters out negative reviews (ratings of 1 or 2 stars) and summarizes these using GPT-4, identifying key weaknesses of the competitor. Based on this analysis, it generates three tailored Facebook ad copies addressing the identified pain points. Finally, the workflow sends an email with the summary, reviews, and ad copy suggestions to the marketing team. This automation is especially useful for marketing teams seeking competitive insights and crafting effective ad campaigns based on real customer feedback.
Automated Competitor Review Analysis and Ad Copy Generation
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, aggregate, filter, formTrigger, gmail, googleSheets, httpRequest, if, stickyNote, wait |
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