Automated Startup Funding Data Extraction from News Articles

This n8n workflow automates the process of extracting and organizing startup seed funding information from news articles. It begins by monitoring an RSS feed for new articles, then refines and decodes article URLs. Using Bright Data, it scrapes the full content, converting it to markdown format for better AI processing. An OpenAI language model analyzes the article content to identify and extract key funding details, including company names, websites, LinkedIn profiles, funding amounts, and founders’ information. The workflow filters out duplicate entries and structures the data, which is then uploaded to a Microsoft Excel sheet via Graph API for record-keeping. This setup is ideal for investors, PR teams, or startup accelerators wanting to stay updated on recent funding news without manual effort.