Extract & transform HackerNews data to Google Docs using Gemini 2.0 flash
Ready for 3.0What this workflow does
This AI workflow has 10 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Hacker News, Google Gemini Chat Model and Google Docs.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Set the Input Fields (Edit Fields (Set)): sets 1 field: Count
- Hacker News: work with all
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Set the url, author (Edit Fields (Set)): sets 2 fields: author, url
- Create an HTTP Request (HTTP Request): calls an HTTP API
- Extract Human Readable Data (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model
- Create a Google Doc (Google Docs): uses Google Docs
- Update Google Docs (Google Docs): update
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 (8)
- Manual Trigger
n8n-nodes-base.manualTrigger - Hacker News
n8n-nodes-base.hackerNews - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Google Docs
n8n-nodes-base.googleDocs - Edit Fields (Set)
n8n-nodes-base.set - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - HTTP Request
n8n-nodes-base.httpRequest
From the author
Description This workflow automates the process of scraping the latest discussions from HackerNews, transforming raw threads into human readable content using Google Gemini, and exporting the final content into a well-formatted Google Doc. Overview This n8n…