Automated Filtering and Categorization of n8n-Related Content on Reddit
This workflow is designed to automatically scrape and filter the latest posts on Reddit related to specific topics. It focuses on original content that has received at least 5 upvotes in the past 7 days, utilizing artificial intelligence for intelligent categorization and content summarization of the posts. Through this automated process, users can quickly access high-quality community discussion information, allowing them to stay updated on market trends and user feedback in real-time, thereby enhancing the efficiency of product optimization and market decision-making.
Tags
Workflow Name
Automated Filtering and Categorization of n8n-Related Content on Reddit
Key Features and Highlights
This workflow automatically retrieves the latest posts related to n8n from the Reddit platform, filtering for posts published within the last 7 days that have received at least 5 upvotes and contain original content. It leverages OpenAI’s intelligent classification to verify whether the posts genuinely pertain to n8n and generates concise summaries of relevant content. Through automation, it enables rapid access to high-quality community discussions, helping users stay informed about product sentiment and user feedback in a timely manner.
Core Problems Addressed
- Automatically filtering high-value, n8n-related posts from vast amounts of social content
- Enhancing information accuracy by using AI-driven classification to avoid misjudgments
- Quickly extracting key insights to save time on manual reading and organization
- Monitoring community dynamics in real-time to support product optimization and market decision-making
Use Cases
- Official n8n teams and community managers monitoring Reddit discussion trends and user needs
- Marketing and product teams gathering user feedback and competitive intelligence
- Community operators responding promptly to user concerns and issues
- Technical support teams understanding user pain points and usage scenarios
Main Workflow Steps
- Manually trigger the workflow
- Search Reddit site-wide for posts containing the keyword “n8n,” sorted by publication date
- Use conditional nodes to filter posts published within the last 7 days, with at least 5 upvotes and non-empty content
- Extract and format key post information (upvotes, subscriber count, content summary, publication date, link, etc.) using Set nodes
- Use OpenAI nodes to determine whether the post truly relates to n8n
- Based on classification results, invoke an alternative OpenAI summary node to generate a brief content summary
- Merge data and output the finalized post information for subsequent use or display
Systems and Services Involved
- Reddit (content source)
- OpenAI (text classification and summary generation)
- n8n (workflow automation platform)
Target Users and Value
- n8n product teams, community managers, and marketing personnel
- Operations and analysts needing real-time monitoring of social media topics
- Users seeking efficient automated filtering and categorization of large volumes of textual data
- AI enthusiasts and low-code automation practitioners looking for workflow design and integration references
Notes
- Currently, the workflow analyzes only the first 500 characters of post content; keywords appearing later may be missed
- Future expansions may include support for additional social platforms (e.g., Twitter, Slack, Discord) and optimization of AI prompt engineering to improve summarization and classification accuracy
- Suitable as a reference or foundation for users aiming to build multi-channel information monitoring and intelligent analysis systems
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