README.md

Vercel Functions Deployment

Deploy Reader as Vercel Serverless Functions.

Important Notes

Running a full browser in Vercel Functions is not recommended due to:

• Cold start times
• Memory limits
• Binary size restrictions
• Execution time limits (10-30 seconds)

Recommended approach: Use a remote browser service.

Setup with Remote Browser

1. Sign up for a browser service:

   • Browserless
   • Browserbase
   • Or self-hosted

2. Set environment variable:

   vercel env add BROWSER_WS_ENDPOINT
   # Enter: wss://chrome.browserless.io?token=YOUR_TOKEN

3. Deploy:

   vercel deploy

Project Structure

vercel-functions/
├── api/
│   └── scrape.ts    # /api/scrape endpoint
├── package.json
└── vercel.json

Configuration

vercel.json

{
  "functions": {
    "api/scrape.ts": {
      "memory": 1024,
      "maxDuration": 30
    }
  }
}

package.json

{
  "dependencies": {
    "@vakra-dev/reader": "^1.0.0"
  }
}

Usage

curl -X POST https://your-app.vercel.app/api/scrape \
  -H "Content-Type: application/json" \
  -d '{"urls": ["https://example.com"]}'

Alternative: Edge Functions

For better performance, use Vercel Edge Functions with a fetch-based approach:

// api/scrape-edge.ts
export const config = {
  runtime: "edge",
};

export default async function handler(req: Request) {
  // Use fetch to call Reader running elsewhere
  const response = await fetch("https://your-reader.com/scrape", {
    method: "POST",
    body: req.body,
  });
  return response;
}

This approach:

• Sub-second cold starts
• Global edge network
• Lower latency for users