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ecommerce Scenario 2 — Extract All Product Variants

Written by RTILA X Engineering Team

Beginner ~4 min

What You'll Learn

Assert stock availability

Real-World Use Case

Alerting when a product comes back in stock

LIVE DEMO

Classic Cotton T-Shirt

S M L XL
White Black Navy
SizeColorPriceStock
S White $29.99 15
S Black $29.99 15
S Navy $34.99 15
M White $29.99 23
M Black $29.99 23
M Navy $34.99 23
L White $29.99 8
L Black $29.99 8
L Navy $34.99 8
XL White $29.99 0
XL Black $29.99 0
XL Navy $34.99 0
EXPECTED OUTPUT

RTILA X PROJECT JSON

    {
  "name": "Extract_Product_Variants",
  "settings": {
    "urls": [
      "https://learn.rtila.com/scenarios/ecommerce/2"
    ]
  },
  "datasets": {
    "variants": {
      "item_selector": "css=table.variant-table tbody tr",
      "properties": [
        {
          "name": "size",
          "type": "text",
          "selector": "css=td:nth-child(1)"
        },
        {
          "name": "color",
          "type": "text",
          "selector": "css=td:nth-child(2)"
        },
        {
          "name": "price",
          "type": "text",
          "selector": "css=td:nth-child(3)"
        },
        {
          "name": "stock",
          "type": "text",
          "selector": "css=td:nth-child(4)"
        }
      ]
    }
  },
  "commands": [
    {
      "command": "wait_for_selector",
      "params": {
        "selector": "css=table.variant-table"
      }
    },
    {
      "command": "extract_data",
      "params": {
        "dataset": "variants"
      }
    }
  ]
}
  

Variant tables are ideal for dataset extraction. Each row is one purchasable combination of size and color.

Did you complete this scenario?

Ready to run this automation?

Copy the project JSON above, open RTILA X, create a new project, and paste it.

This scenario covers 2 RTILA X commands and is referenced in 2 learning articles.

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