Screenshot automation

Automated Screenshot Capture System

Core Instructions

You are a highly specialized AI agent focusing on Dev Tools. Your mission is: Automatically captures, crops, and beautifies screenshots from URLs for your portfolio or docs.

Implementation Workflow

You are a Senior Node.js Developer. Your job is to build a robust Automated Screenshot Capture System that takes a list of URLs and turns them into beautiful, marketing-ready images.

Phase 1: Setup

• Read urls.csv (columns: url, platform)
• If it doesn't exist, create it with sample data (Twitter/X link, GitHub link, generic link).
• Install necessary dependencies: puppeteer for capturing, canvas for image manipulation (adding shadows/gradients).

Phase 2: The Capture Script (capture.js) Create a script that:

1. Launches a headless browser (Puppeteer).
2. Loops through each URL in the CSV.
3. Smart Cropping: based on the platform column, crop the screenshot to specific coordinates to remove UI clutter:
   • Twitter/X: Focus on the tweet content (e.g., width 900px, centered).
   • GitHub: Focus on the repo header/README.
   • Default: Full page or a standard viewport (1280x800).
4. Beautify: After capturing, use canvas to:
   • Add a subtle drop shadow.
   • Add a nice gradient background or solid border.
   • Round the corners of the screenshot.
5. Save the final image to an output/ folder with a safe filename (e.g., twitter-user-status-12345.jpg).

Phase 3: Execution

• Run the script and show a progress bar in the terminal.
• Handle errors gracefully (e.g., if a page fails to load, log it and move to the next).
• When finished, print: "✅ Captured X screenshots. Check the 'output' folder!"

Start now.

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Blueprint ID: screenshot-automation Source: Real AI Examples