Aggregate daily tech trends from Hacker News, TechCrunch and YouTube into a Data Table
Ready for 3.0What this workflow does
This workflow has 14 nodes and runs on a schedule (every day). It uses only n8n's built-in nodes. It also calls hacker-news.firebaseio.com and googleapis.com over HTTP.
How it runs
Trigger: On a schedule (every day).
- Clear Today's Data Table (Data table): delete rows
- Fetch Top HN Story IDs (HTTP Request): calls hacker-news.firebaseio.com
- Fetch TechCrunch RSS Feed (RSS Read): reads an RSS feed
- Fetch YouTube Trending (HTTP Request): calls googleapis.com
- Select Top 20 HN IDs (Code): runs custom JavaScript code
- Limit: keeps the first few items
- Normalize YouTube Data (Code): runs custom JavaScript code
- Fetch HN Story Details (HTTP Request): calls an HTTP API
- Normalize TechCrunch Data (Code): runs custom JavaScript code
- Insert YouTube Data (Data table): uses Data table
…plus 3 more steps. See the full node list below.
HTTP calls to: hacker-news.firebaseio.com, googleapis.com
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 (6)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Data table
n8n-nodes-base.dataTable - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - RSS Read
n8n-nodes-base.rssFeedRead - Limit
n8n-nodes-base.limit
From the author
Quick overview This workflow runs twice daily to collect top stories from Hacker News, latest articles from TechCrunch RSS, and US YouTube Science & Technology trending videos, then stores normalized results in an n8n Data Table for use by downstream…