News Extraction
This workflow can automatically scrape the latest news articles from specified news websites without relying on RSS subscriptions. It regularly extracts article links, publication dates, titles, and body content, and uses the GPT-4 model to generate brief summaries and extract key technical keywords. The organized structured data will be stored in a NocoDB database, facilitating subsequent retrieval and analysis, significantly improving the efficiency of news monitoring and content management, making it suitable for use by businesses, media, and data analysts.
Workflow Name
News Extraction
Key Features and Highlights
This workflow automates web scraping of the specified news website (https://www.colt.net/resources/type/news/) without relying on RSS feeds. It periodically extracts the latest news article URLs, publication dates, titles, and full text content. Leveraging OpenAI’s GPT-4 model, it automatically generates concise summaries (within 70 characters) for each news article and extracts three core technical keywords. The structured and consolidated data is then saved into a NocoDB database for easy retrieval and analysis.
Core Problems Addressed
This solution overcomes the challenge of accessing news from websites without RSS feeds by enabling automated extraction and structuring of news content through web crawling and intelligent text processing. It eliminates the need for manual searching and summarizing, thereby enhancing the efficiency of news monitoring and content management.
Application Scenarios
- Enterprises and media organizations monitoring competitors or industry news trends
- Technical teams quickly grasping the latest technological developments and related information
- Content operators automatically organizing news summaries and keywords for content planning
- Data analysts building news databases to support subsequent data mining and report generation
Main Workflow Steps
- Trigger the workflow on a scheduled basis (once per week)
- Access the news website homepage to scrape news article links and their publication dates
- Filter news articles published within the last 7 days
- Request each news article page individually to extract the title and full text
- Use OpenAI GPT-4 model to generate a summary of each news article
- Use OpenAI GPT-4 model to extract three key technical keywords from each article
- Consolidate the news URL, date, title, summary, and keywords
- Save the structured news data into the NocoDB database for subsequent use and management
Involved Systems or Services
- n8n automation platform
- HTTP Request node (for web page requests)
- HTML Content Extraction node (data scraping based on CSS selectors)
- OpenAI API (GPT-4 model) for text summarization and keyword extraction
- NocoDB (SQL database) for storing structured news data
Target Users and Value
- Enterprises and individuals needing regular monitoring of specific industries or company news
- Content editors and operators saving time on information organization and improving content production efficiency
- Data analysts and researchers quickly accessing and analyzing the latest news information
- Technology enthusiasts and market watchers conveniently capturing technology hotspots and trends
This workflow centers on automation, efficiency, and intelligence, perfectly integrating web scraping with AI-powered text processing to significantly enhance the acquisition and utilization of news information from websites without RSS feeds.