Automate GitHub Trending Data Collection with FireCrawl, GPT & Supabase - n8n Workflow | Neura Market

    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
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    How to import this workflow into n8n

    1. 1Purchase or download the workflow to get the n8n workflow JSON file.
    2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
    3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
    4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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