This n8n workflow automates the process of searching, extracting, and summarizing web content in an efficient manner, tailored for AI and data enrichment applications. It begins with a user-provided search query received via a chat trigger, using the Tavily Search API to fetch relevant results based on customizable parameters such as search depth, content type, and domain filters. The workflow then filters the search results to retain only those with high relevance scores (above 80%), and selects the top result for further processing.
Once the most relevant URL is identified, the Tavily Extract API retrieves the raw content from that webpage. An AI language model (such as OpenAI’s GPT) then summarizes the extracted content into a concise Markdown format, making it suitable for quick review or inclusion in reports. Throughout the workflow, sticky notes provide detailed documentation of API endpoints, parameters, use cases, and API key management, which is essential for understanding and maintaining the automation.
This workflow is particularly useful for research, content curation, competitive analysis, or any scenario where quick, relevant web content retrieval and summarization are needed—saving time and enhancing productivity for users working with large volumes of data or multiple information sources.
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