This project demonstrates a multi-stage Docker build that:

• 🕷️ Scrapes data from a user-provided URL using Node.js, Puppeteer, and Chromium
• 🐍 Serves the scraped data as JSON via a lightweight Flask web server
• 🐳 Uses Docker multi-stage builds to keep the final image small and efficient

• Node.js 18 (slim)
• Puppeteer (headless browser automation)
• Chromium
• Python 3.10 (slim)
• Flask (Python web server)
• Docker (Multi-stage build)

project/
├── Dockerfile             # Multi-stage Dockerfile (Node.js + Python)
├── scrape.js              # Puppeteer script to scrape title and heading
├── server.py              # Flask server to serve scraped JSON
├── requirements.txt       # Flask dependency

• Installs Chromium and Puppeteer
• Accepts a SCRAPE_URL as a build argument
• Uses Puppeteer to scrape:
  • <title> of the page
  • First <h1> heading
• Outputs scraped_data.json

• Copies only scraped_data.json into a minimal Python image
• Runs a Flask server that serves the JSON on /

• Docker Desktop installed on Windows 11 (or other OS)

docker build --build-arg SCRAPE_URL=https://example.com -t scraper-server .

Replace https://example.com with the target website you want to scrape.

🏃 Run the Container

docker run -p 5000:5000 scraper-server

Then open your browser and navigate to:

http://localhost:5000

✅ Example Output

{
  "title": "Example Domain",
  "heading": "Example Domain"
}