This n8n workflow automates comprehensive research on companies that have recently announced funding rounds. Triggered manually, it fetches latest articles from tech news sources like TechCrunch and VentureBeat, filters relevant news, and extracts detailed information such as funding details, company background, and market position using language models. The workflow then conducts in-depth company research via Perplexity and Jina Deep Search, compiling structured data on company founders, valuation, competitors, and more. Finally, the collected insights are stored in Airtable for easy review. This automation streamlines due diligence, market analysis, and investor research, making it ideal for investment firms, business analysts, or market researchers aiming to stay updated with the latest funding news and company developments.
Automated Company Funding Research and Data Compilation
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, airtable, executeWorkflow, executeWorkflowTrigger, filter, html, httpRequest, manualTrigger, merge, set, splitOut, stickyNote, xml |
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