Automated Daily Financial News Summary Delivery Workflow

This workflow automatically retrieves the latest financial news from the UK Financial Times at a scheduled time every day, extracting key headlines and focal content. It utilizes the Google Gemini AI model for professional summarization, generating clearly structured HTML emails, which are then automatically sent to designated recipients. This process integrates news collection, content refinement, and email distribution, helping investors quickly access important information and enhance decision-making efficiency. It is suitable for investment institutions, financial analysts, and other users who need to regularly monitor market dynamics.

Workflow Diagram
Automated Daily Financial News Summary Delivery Workflow Workflow diagram

Workflow Name

Automated Daily Financial News Summary Delivery Workflow

Key Features and Highlights

This workflow automatically fetches the latest financial news daily from the UK’s Financial Times (ft.com) at a scheduled time. It accurately extracts multi-dimensional content including key headlines, editor’s picks, and featured news. Leveraging the Google Gemini AI model, it generates professional summaries of the news content, producing well-structured and content-rich HTML emails. These emails are then automatically sent to designated recipients via Microsoft Outlook. The workflow efficiently integrates news collection, content extraction, intelligent summarization, and email distribution, significantly enhancing information acquisition efficiency.

Core Problems Addressed

  • Automates the retrieval of authoritative financial news, eliminating the need for manual browsing and filtering
  • Precisely extracts important news sections from web pages to ensure targeted and comprehensive information
  • Utilizes AI for professional summarization, helping investors quickly grasp market trends
  • Automatically sends emails to ensure timely delivery of information, supporting investment decisions

Application Scenarios

  • Daily morning briefing preparation for investment firms and financial analysts
  • Automated content aggregation and distribution for financial news teams
  • Quick market hotspot acquisition and sharing for individual investors and financial bloggers
  • Any users requiring regular monitoring of financial news with timely summary updates

Main Process Steps

  1. Scheduled Trigger: Automatically starts the workflow every day at 7:00 AM
  2. News Retrieval: Accesses the Financial Times official website via HTTP request to fetch the latest financial news pages
  3. Content Extraction: Uses HTML nodes and CSS selectors to extract news content from multiple sections such as headlines, editor’s picks, featured news, and European news
  4. Content Aggregation: Consolidates content from different news sections into a unified dataset
  5. AI Summarization: Invokes the Google Gemini chat model to generate a structured financial news summary, optimizing readability
  6. Email Delivery: Sends the summarized content as an HTML email to specified recipients through a Microsoft Outlook account

Systems or Services Involved

  • HTTP Request (accessing Financial Times website)
  • HTML Parsing Nodes (precise web content extraction)
  • Google Gemini Chat Model (AI text summarization)
  • Microsoft Outlook (email sending)
  • Schedule Trigger (timed execution)

Target Users and Value

  • Individual or institutional investors: Quickly grasp key financial information of the day to support investment decisions
  • Financial editors and content operators: Automate summary generation to improve work efficiency
  • Corporate information departments: Receive timely industry updates to support business analysis and strategic planning
  • News aggregation platforms: Automatically collect and refine financial news content to enhance information service quality

This Automated Daily Financial News Summary Workflow leverages intelligent automation technology to achieve efficient financial news collection, precise extraction, and convenient distribution, making it an ideal solution for improving financial information processing efficiency.