This n8n workflow automates the process of performing Google searches, extracting relevant data, and generating concise summaries using advanced AI models. Designed for engineers and researchers, it demonstrates how to scrape search engine results with Bright Data, process HTML content, and utilize Google Gemini’s language models for summarization and analysis.
The workflow initiates when the user manually triggers it. It sets a predefined search query, in this case ‘Bright Data,’ and constructs an HTTP request to Bright Data’s API to perform a Google search. The search results are then extracted and cleaned via a dedicated data extractor node, which strips HTML and scripts to produce readable text.
Next, the workflow uses Google Gemini’s chat models for multiple AI tasks: one for detailed analysis of the search results, another for summarization. The summarization chain condenses the search snippets into a brief overview, making it easy for users to quickly grasp the core information.
Finally, the processed and summarized data is sent to a specified webhook URL via an HTTP POST request, allowing for integration with other systems or custom dashboards. Notes are included to guide users on customizing the Google query and webhook URL.
This workflow is ideal for automating research, monitoring search engine results, or integrating AI-powered content analysis into larger applications, saving time and enhancing data insights.
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