This n8n workflow automates the process of performing targeted web searches using the Firecrawl API, enhanced by AI-generated search queries. It starts with a chat trigger, allowing users to specify search parameters via natural language. The workflow then employs a language model agent to translate these instructions into precise Firecrawl search queries, incorporating operators like site, inurl, and exclude terms. Multiple HTTP request nodes execute these searches to gather detailed results from specific websites or regarding particular topics. Sticky notes serve as visual guides, clarifying steps and tips for users. This setup is ideal for content researchers, SEO professionals, or anyone needing automated, customizable web searches to gather relevant information efficiently.
Automated Web Search with Firecrawl and AI Integration
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenRouter, httpRequest, httpRequestTool, stickyNote |
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