Automated Reddit Monitoring and Analysis for n8n

• Reddit Post Fetching: Retrieves posts from Reddit based on a specified keyword ('n8n').
• Content Filtering: Filters posts based on upvotes, existence of content, and recency.
• OpenAI Classification: Uses OpenAI to determine if a post is about n8n.io.
• Metadata Extraction & Structuring: Extracts and formats key information like upvotes, subreddit, date, URL, and a trimmed selftext.
• Summarization (Optional/Backup): Includes a node for summarizing post content using OpenAI (currently set as a backup).
• Conditional Logic: Employs IF nodes to control the workflow based on post relevance and OpenAI classification.

1. Trigger: Click the "Execute Workflow" button to start the process.
2. Reddit Fetch: The Reddit node searches for posts with the keyword 'n8n'.
3. Filtering: The first IF node filters posts based on upvotes, content presence, and recency (within the last 7 days).
4. Classification: The OpenAI Classify node uses OpenAI to determine if the post is about n8n.io.
5. Data Preparation: The Set node extracts and formats relevant data from the filtered posts.
6. Conditional Summarization: The Merge node combines data. The IF1 node checks the OpenAI classification result. If it's 'No', it proceeds to the backup summarization.
7. Summarization: The OpenAI Summary Backup node (if triggered) generates a summary of the post.
8. Final Structuring: The Merge1 node combines the classified and summarized data. The SetFinal node structures the final output with key metadata.

Sticky Notes:

• Sticky Note1: Provides an overview of the workflow's purpose.
• Sticky Note2: Highlights a limitation regarding the handling of long Reddit posts (only first 500 characters considered).
• Sticky Note3: Suggests potential next steps for workflow improvement and expansion.
• Sticky Note: Shares learnings about prompt writing, OpenAI node usability, and the max_tokens parameter.