Jewelry-AI-Collector 💎

A powerful example project demonstrating how to use Firecrawl to extract structured lead and product data from high-end jewelry stores for market research and competitive analysis.

🚀 Overview

This tool leverages the Firecrawl Python SDK to autonomously scrape and structure data from Shopify-based jewelry stores. It extracts:

• Store Name & Description
• Contact Emails & Phone Numbers
• Featured Products with Pricing

The extracted data is then automatically formatted into an Excel spreadsheet for easy business analysis.

🛠️ Installation

1. Clone the repository:

   git clone https://github.com/glassgrass-art/Jewelry-AI-Collector.git
   cd Jewelry-AI-Collector

2. Install dependencies:

   pip install -r requirements.txt

3. Set your Firecrawl API Key:

   # Windows (PowerShell)
   $env:FIRECRAWL_API_KEY = "your_api_key_here"
   
   # Linux/Mac
   export FIRECRAWL_API_KEY="your_api_key_here"

📈 Usage

Run the main script to start extraction:

python main.py

🎥 Demo

(Placeholder for Demo Video/Screenshot)

🧰 Built With

• Firecrawl - LLM-powered web scraping
• Pandas - Data structuring and Excel output
• Openpyxl - Excel engine

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Generated autonomously by Gemini-CLI for the Firecrawl Bounty Program.