Automate GitHub Trending Data Collection to Supabase
Streamline the process of collecting and storing GitHub trending repository data in Supabase for easy access and analysis.
This workflow is designed for developers, researchers, and analysts who need a reliable way to gather and store GitHub trending data without manual intervention. By automating the scraping of GitHub trending repositories on daily, weekly, and monthly bases using FireCrawl, this workflow extracts essential project details such as name, URL, description, language, and stars. It then categorizes them by timeframe and stores them in a structured Supabase table, making it ideal for building dashboard
- Platform
- n8n
- Category
- Data & Analytics
- Price
- $9.99
- Creator
- Ananya Singh
- set
- stickyNote
- supabaseTool
- agent
- scheduleTrigger
- lmChatOpenAi
- firecrawl
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
Related Data & Analytics workflows
- Generate AI viral videos with VEO 3 and upload to TikTok$14.99
- Generate a daily multi-asset market report with TwelveData, Groq and Google Sheets$14.99
- Build an OpenAI RAG system with document upload, semantic search and caching$24.99
- Automate Website Content Scraping and SEO Keyword Extraction with GPT-4o-mini and Airtable$14.99
- Process Contact Form Submissions with Validation and MongoDB Storage$14.99
- Add webhook data to a Google Sheet$2.99
More from Ananya Singh
Need this deployed? We'll set it up for you.
Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.