This n8n workflow automates the extraction, summarization, and sentiment analysis of brand content from web pages. It begins with manual triggering, where a specific URL is set for content scraping using Bright Data’s Web Unlocker, enabling the collection of raw webpage data. The workflow then converts the markdown content into plain textual data for easier processing. Using advanced language models like Google Gemini, it performs a detailed content summary and sentiment analysis, providing structured results. The extracted text, summaries, and sentiment data are then saved as JSON files on disk for further use or reporting. Additionally, webhook notifications keep external systems updated with the process and results, making this workflow ideal for brand monitoring, reputation management, or competitive analysis in marketing operations.
Automated Brand Content Analysis Using Bright Data and AI
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, function, httpRequest, manualTrigger, readWriteFile, set, stickyNote |
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