Introduction

Integrating a Telegram-based shopping agent bot with KakoBuy's spreadsheet system streamlines order management for cross-border e-commerce. This guide explores optimized workflow strategies using APIs and automation tools.

The Core Integration Architecture

Implementation Steps

Step 1: Telegram Bot Configuration

# Sample Python snippet for order collection
async def handle_order(update: Update, context: ContextTypes.DEFAULT_TYPE):
    order_data = {
        'user_id': update.effective_user.id,
        'items': update.message.text,
        'timestamp': datetime.now()
    }
    # Firebase data upload
    db.collection('pending_orders').add(order_data)
        

Step 2: Middleware Setup

• Configure real-time database triggers in Firebase
• Set up automated data validation rules
• Implement duplicate entry prevention

Step 3: Google Sheets Integration

Use KakoBuy's template spreadsheet with custom script:

function onWebhookReceived(e) {
    const order = JSON.parse(e.postData.contents);
    const sheet = SpreadsheetApp.getActiveSheet();
    sheet.appendRow([
        new Date(order.timestamp),
        order.user_id,
        order.items.join("\▌"),
        "PENDING"
    ]);
}
        

Advanced Optimization Techniques

Troubleshooting Common Issues

Data Format Mismatch

Implement schema validation middleware between Telegram and Sheets

Rate Limitations

Configure exponential backoff for Google API calls (max 60 requests/minute)