Automated Google Search Results Summarization with n8n

This n8n workflow automates the process of searching Google using Bright Data, extracting and cleaning up the search results HTML content, summarizing the data with Google’s Gemini language models, and sending the concise summaries to an external webhook. The workflow begins with a manual trigger, performs a Google search via Bright Data’s API, extracts relevant textual information, and utilizes Large Language Models (LLMs) from Google Gemini for summarization. The summarized results are then posted via an HTTP request to a specified URL. This setup is ideal for automating the collection and summarization of search engine data for research, monitoring, or content curation purposes.