Automated Daily Digest Delivery of EU Sustainable Development News
This workflow automates the daily retrieval of news from the official EU website, using an AI classification model to filter content related to sustainable development. It generates beautifully designed HTML emails and sends them to subscribed users on a scheduled basis. By automating the entire process, it addresses the cumbersome nature of traditional manual filtering, improving information processing efficiency and enabling users such as environmental organizations, businesses, and media to efficiently access the latest sustainable development information, supporting decision-making and dissemination.
Workflow Name
Automated Daily Digest Delivery of EU Sustainable Development News
Key Features and Highlights
This workflow automatically scrapes the latest news articles from the official EU website, employs an AI-powered classification model to filter content related to sustainable development, compiles the information into a polished HTML email, and sends it to subscribed users on a scheduled basis. It achieves fully automated monitoring and distribution of sustainability news.
Highlights include intelligent article classification (determining relevance to sustainable development), structured content extraction, multi-system integration (HTTP requests, HTML parsing, Google Sheets storage, Gmail email delivery), and daily scheduled automatic triggering, significantly enhancing information processing efficiency.
Core Problems Addressed
Manual selection and aggregation of sustainable development news is time-consuming, prone to delays, and difficult to manage systematically. This workflow solves the full automation challenge of data acquisition, intelligent filtering, structured organization, and automatic distribution, enabling users to efficiently access accurate and timely sustainable development information.
Application Scenarios
- Environmental organizations and consulting firms receiving daily updates on sustainable development policies and trends
- Corporate sustainability departments monitoring industry news and regulatory changes
- Media outlets and research institutions compiling periodic thematic reports
- Subscribers receiving customized sustainable news briefings
Main Process Steps
- Scheduled Trigger: Workflow automatically starts daily at 08:30 AM.
- Data Scraping: HTTP request fetches HTML content from the EU news webpage.
- Content Extraction: Parses HTML to extract article blocks including title, date, category, link, description, cover image, and reading time.
- Article Splitting and Iteration: Splits article blocks into individual items for processing.
- Intelligent Classification: Invokes OpenAI GPT-4o-mini model to determine article relevance to sustainable development based on title and description.
- Result Merging: Combines classification outcomes with article metadata.
- Data Storage: Saves filtered sustainable development articles into a Google Sheets spreadsheet.
- Email Generation: Creates visually appealing HTML email content based on filtered results.
- Email Delivery: Sends the email to designated subscriber addresses via Gmail node.
Systems and Services Involved
- EU News Website (data source)
- HTTP Request Node (web scraping)
- HTML Parsing Node (content extraction)
- OpenAI GPT-4o-mini Model (AI-based article classification)
- Google Sheets (data storage and management)
- Gmail Node (email sending)
- n8n Scheduler Trigger (automated timed execution)
Target Users and Value
- Professionals and teams tracking EU and global sustainable development trends
- Corporate ESG (Environmental, Social, Governance) departments for information acquisition
- Environmental researchers and policy analysts
- Environmental news editors and content planners
By leveraging automation and AI technologies, this workflow greatly improves the efficiency and accuracy of obtaining sustainable news, helping users save time, quickly grasp key information, and support decision-making and communication efforts.