Automate GitHub Trending Data Collection with FireCrawl, GPT & Supabase
Automates scraping GitHub Trending repos (daily, weekly, monthly) using FireCrawl, extracts key data with GPT, and stores in Supabase for historical analysis.
This workflow automates the collection of GitHub Trending repositories across daily, weekly, and monthly timeframes. Using FireCrawl for reliable web scraping, it fetches pages from GitHub's trending sections, parses structured data like repository name, URL, description, programming language, and star count with GPT for accuracy, and tags each entry with its timeframe type. The cleaned data is then inserted into a Supabase PostgreSQL table, enabling long-term storage and querying.
Benefits inc
- Platform
- n8n
- Category
- HR Management
- Price
- $14.99
- Creator
- Fred Garcia
- github
- trending
- firecrawl
- gpt
- supabase
- data-collection
- scraping
- automation
- database
- analytics
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 HR Management workflows
- Handling Job Application Submissions with AI and N8n Forms$14.99
- Automate Resume Screening and Ranking with Llama 4 AI and Google Workspace$14.99
- Automate Resume Screening and Candidate Engagement with GPT-4$14.99
- Automate CV Screening and Analysis with Telegram, Google Gemini AI, and Google Workspace$14.99
- LINE Counseling Chatbot with GPT-4o for Mental Health Support$14.99
- Auto-Generate Problem-Focused Blog Posts for Shopify with AI$24.99
More from Fred Garcia
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.