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scheduling Scenario 2 — Daily Inventory Check for 50 SKUs

Written by RTILA X Engineering Team

Beginner ~4 min

What You'll Learn

Understand scheduling triggers in RTILA X

Real-World Use Case

Running daily data collection jobs

LIVE DEMO

Inventory Status

SKUProduct NameQuantityWarehouseLast Updated
SKU-0001 Wireless Noise-Cancelling Headphones 145 Warehouse A 2025-01-14T08:00:00Z
SKU-0002 4K Ultra HD Monitor 73 Warehouse B 2025-01-14T08:10:00Z
SKU-0003 Mechanical Gaming Keyboard 210 Warehouse C 2025-01-14T08:20:00Z
SKU-0004 USB-C Docking Station 96 Warehouse A 2025-01-14T08:30:00Z
SKU-0005 Portable SSD 1TB 320 Warehouse B 2025-01-14T08:40:00Z
SKU-0006 Smart Home Hub 118 Warehouse C 2025-01-14T08:50:00Z
SKU-0007 Wireless Charging Pad 88 Warehouse A 2025-01-14T09:00:00Z
SKU-0008 Bluetooth Speaker 154 Warehouse B 2025-01-14T09:10:00Z
SKU-0009 Classic Cotton T-Shirt 420 Warehouse C 2025-01-14T09:20:00Z
SKU-0010 Slim Fit Jeans 186 Warehouse A 2025-01-14T09:30:00Z
EXPECTED OUTPUT

RTILA X PROJECT JSON 

    {
  "name": "Daily_Inventory_Check",
  "settings": {
    "urls": [
      "https://learn.rtila.com/scenarios/scheduling/2"
    ]
  },
  "datasets": {
    "inventory": {
      "item_selector": "css=table.inventory-table tr",
      "properties": [
        {
          "name": "sku",
          "type": "text",
          "selector": "css=td:nth-child(1)"
        },
        {
          "name": "name",
          "type": "text",
          "selector": "css=td:nth-child(2)"
        },
        {
          "name": "quantity",
          "type": "text",
          "selector": "css=td:nth-child(3)"
        },
        {
          "name": "warehouse",
          "type": "text",
          "selector": "css=td:nth-child(4)"
        },
        {
          "name": "lastUpdated",
          "type": "text",
          "selector": "css=td:nth-child(5)"
        }
      ]
    }
  },
  "commands": [
    {
      "command": "wait_for_selector",
      "params": {
        "selector": "css=.inventory-table"
      }
    },
    {
      "command": "extract_data",
      "params": {
        "dataset": "inventory"
      }
    }
  ]
}

Daily inventory monitoring can be scheduled to run every 24 hours. The extracted dataset includes all available columns from the inventory table.

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This scenario covers 1 RTILA X command and is referenced in 1 learning article.

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