Automatic weekly digital PR stories suggestions with Reddit and Anthropic
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 28 nodes and runs on a schedule (every week at 06:00). Along the way it connects Reddit, Google Drive and Anthropic Chat Model.
How it runs
Trigger: On a schedule (every week at 06:00).
- Set Data (Edit Fields (Set)): sets 2 fields: Topics, Jina API Key
- Split Topics into Items (Code): runs custom JavaScript code
- Search Posts (Reddit): search
- Upvotes Requirement Filtering (If): checks a condition and branches into true / false
- Set Reddit Posts (Edit Fields (Set)): sets 9 fields: Title, Subreddit, Upvotes…
- Remove Duplicates (Code): runs custom JavaScript code
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Aggregate: combines items into one
- Set for Loop (Edit Fields (Set)): sets 8 fields: Title, Subreddit, Upvotes…
- Merge Binary Files (Code): runs custom JavaScript code
…plus 14 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (13)
- Code
n8n-nodes-base.code - Reddit
n8n-nodes-base.reddit - If
n8n-nodes-base.if - Edit Fields (Set)
n8n-nodes-base.set - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - HTTP Request
n8n-nodes-base.httpRequest - Convert to File
n8n-nodes-base.convertToFile - Compression
n8n-nodes-base.compression - Google Drive
n8n-nodes-base.googleDrive - Aggregate
n8n-nodes-base.aggregate - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
From the author
Introduction The "Automatic Weekly Digital PR Stories Suggestions" workflow is a sophisticated automated system designed to identify trending news stories on Reddit, analyze public sentiment through comment analysis, extract key information from source…