Summarize GitHub trending repos with OpenAI and share via htmlhoster and DingTalk

by ethandavis · 15 views · created 2026-09-01 · Market Research, AI Summarization

What this workflow does

This workflow has 11 nodes and runs on a schedule (cron 0 9 * * *). It uses only n8n's built-in nodes. It also calls api.htmlhoster.com over HTTP.

How it runs

Trigger: On a schedule (cron 0 9 * * *).

1. 1. Setup (Edit Fields (Set)): sets 14 fields: githubTrendingUrl, repoCount, fetchReadme…
2. 2. Fetch GitHub Trending (HTTP Request): calls an HTTP API
3. 3. Parse Trending List (Code): runs custom JavaScript code
4. 4. Fetch & Merge READMEs (Code): runs custom JavaScript code
5. 5. Build AI Prompt (Code): runs custom JavaScript code
6. 6. AI Analysis (HTTP Request): calls an HTTP API (POST)
7. 7. Render HTML (Code): runs custom JavaScript code
8. 8. Upload to htmlhoster (HTTP Request): calls api.htmlhoster.com (POST)
9. 9. Build Push Messages (Code): runs custom JavaScript code
10. 10. Push to Groups (HTTP Request): calls an HTTP API (POST)

HTTP calls to: api.htmlhoster.com

Before you upgrade to n8n 3.0

Nodes used (4)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set
• HTTP Requestn8n-nodes-base.httpRequest
• Coden8n-nodes-base.code

From the author

Quick overview This workflow runs daily to fetch GitHub Trending repositories, summarizes them with an OpenAI-compatible chat completions API, renders a single-page HTML report, uploads it to htmlhoster for a public link, and posts the report to DingTalk…

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