Connect Reddit with Google Drive
Workflow Description
Scheduled automation that collects Reddit posts on specific topics, analyzes them using Anthropic AI models for insights and sentiment, then stores the results and original content in Google Drive as compressed files for easy organization and retrieval.
How it works
- 1.Trigger periodic collection of posts from specified subreddits
- 2.Batch process posts to extract text, metadata, and discussion context
- 3.Send content to Anthropic Claude for intelligent analysis and sentiment extraction
- 4.Compress analysis results and original data into ZIP files
- 5.Upload compressed files to designated Google Drive folder
Use cases
- Monitor and analyze user opinions about products or brands automatically across Reddit communities
- Track discussion trends and sentiment in specific subreddits periodically and maintain searchable archives
Requirements
- Active Anthropic API key with access to Claude models
- Reddit account with valid API credentials and app registration
- Google Drive account with write and upload permissions
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (29)
Split Topics into Items
Code
Search Posts
Upvotes Requirement Filtering
If
Set Reddit Posts
Set
Remove Duplicates
Code
Loop Over Items
Split In Batches
Get Comments
Extract Top Comments
Code
Format Comments
Code
Set for Loop
Set
Get News Content
HTTP Request
Set Final Report
Set
Convert to File
Convert To File
Compress files
Compression
Merge Binary Files
Code
Google Drive6
Google Drive
Google Drive7
Google Drive
Send files to Mattermost3
HTTP Request
Aggregate
Aggregate
Schedule Trigger
Schedule Trigger
Anthropic Chat Model
Lm Chat Anthropic
Anthropic Chat Model1
Lm Chat Anthropic
Keep Last
Code
Anthropic Chat Model2
Lm Chat Anthropic
Sticky Note
Sticky Note
Comments Analysis
LLM Chain
News Analysis
LLM Chain
Stories Report
LLM Chain
Set Data
Set