Reddit Content Monitoring and Intelligent Classification Workflow
This workflow automatically monitors new posts related to specific topics on the Reddit platform, filtering for original content that has received at least 5 upvotes in the past 7 days. Using intelligent classification technology, it assesses whether the posts are truly relevant and extracts key information to generate structured data for easier subsequent analysis. This process helps product marketing teams, community operators, and data analysts quickly access high-quality information, enhancing the efficiency of social media content monitoring and user feedback collection.
Workflow Name
Reddit Content Monitoring and Intelligent Classification Workflow
Key Features and Highlights
- Automatically fetches new Reddit posts related to "n8n," precisely filtering posts published within the last 7 days that have at least 5 upvotes and contain original content.
- Utilizes OpenAI’s intelligent classification API to verify the true relevance of posts to n8n, enhancing information accuracy.
- Extracts key information from qualifying posts—such as upvote count, subreddit subscriber count, publication time, post summary, and link—for subsequent analysis and presentation.
- Implements multi-level merge and conditional nodes to ensure an efficient and robust data processing pipeline.
- Includes detailed annotation nodes explaining the workflow design rationale and future optimization directions.
Core Problems Addressed
Effectively solves the challenge of rapidly and accurately identifying content related to specific topics (e.g., the n8n automation tool) within vast amounts of social media data, minimizing noise caused by information overload. Provides high-quality data sources for community management, market monitoring, and user feedback collection.
Application Scenarios
- Product marketing teams monitoring social media trends to capture genuine user feedback and discussions about n8n.
- Community managers promptly identifying high-quality topics to foster targeted interactions and content operations.
- Data analysts conducting sentiment analysis and user profiling based on classification results.
- Automation tool developers building similar content scraping and intelligent classification systems.
Main Workflow Steps
- User manually triggers the workflow.
- Search Reddit for the latest posts containing the keyword "n8n."
- Filter posts with upvotes ≥ 5, published within the last 7 days, and non-empty content.
- Extract core post data fields and prepare them for input into the OpenAI classification model.
- Use OpenAI to determine whether the post is genuinely focused on n8n; if confirmed, merge the data via merge nodes.
- For confirmed relevant posts, invoke OpenAI to generate a brief summary to facilitate quick content understanding.
- Finally, compile and output structured data including upvote count, subreddit size, summary, publication time, and post link.
Involved Systems or Services
- Reddit: Source for content scraping.
- OpenAI API: Intelligent content classification and summary generation.
- n8n Automation Platform Node System: Manual trigger, conditional checks, data setting, merge nodes, etc.
Target Users and Value
- Suitable for product managers, marketers, community operators, and data analysts to efficiently obtain high-quality social media traffic related to specific keywords, reducing manual screening efforts.
- Enhances information processing efficiency through automation and intelligence, supporting decision-making and user insights, and strengthening social media content monitoring and response capabilities.