This n8n workflow automates the process of fetching, extracting, and summarizing daily financial news for quick investor insights. It starts with a scheduled trigger at 7 AM, then fetches financial news from the Financial Times homepage via an HTTP request. After a brief delay to ensure the page loads completely, it extracts key headlines and sections such as top stories, editor’s picks, and market-specific news using HTML selectors. The extracted data is cleaned and formatted into a structured summary. An AI-powered language model then analyzes and summarizes the news, providing a concise market outlook that is emailed to investors or finance teams. This workflow is ideal for creating automated daily financial newsletters, market summaries, or enhancing financial research routines.

Node Count	6 – 10 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOllama, emailSend, html, httpRequest, scheduleTrigger, set, stickyNote, wait