

Dynamically extract and format order line item details using Pluck and Join so your automations can log, message, and sync clean product lists anywhere.
Orders often contain multiple products, quantities, prices, and line-item details stored inside structured datasets. While this information is valuable, it is not always easy to use directly inside notifications, spreadsheets, reports, or external integrations.
BizStackPro's Pluck and Join workflow helpers allow businesses to extract specific values from collections of data and combine them into clean, readable outputs that can be used throughout automation workflows.
Without data formatting helpers, businesses may struggle to display product information clearly, create readable reports, map order details to external systems, or automate workflows that depend on structured product data.
This guide explains how Pluck and Join work together, how product details can be extracted and formatted, and how to create cleaner workflow outputs inside BizStackPro.
Before formatting product details in workflows, it helps to understand how order data, workflow variables, line items, integrations, reporting systems, and automation helpers work together inside BizStackPro.
When a workflow trigger includes an array of order line items, you can extract specific fields (like product title, SKU, quantity, or price) and format them into a single value. This is especially useful for external logs (Google Sheets), internal notifications, or pushing structured data to other systems.
Why this matters: You get a clean, readable “Products Purchased” output without manual formatting.
Pulls one field from every item in an array (example: every product title in order.line_items).
Combines extracted values into a single string using a separator you choose (comma, pipe, line breaks, etc.).
Choose a trigger that provides the line items array. Common options include:
Example: extract product titles from line items.
{{ pluck order.line_items "title" }}
Tip: You can pluck other fields too (SKU, quantity, price)—as long as they exist in the dataset.
Example: turn the array of titles into a comma-separated list.
{{ join (pluck order.line_items "title") ", " }}
Custom separators: Swap ", " for
" | " or "; " based on where you’re sending the data.
Map the joined output into an integration field (Google Sheets, CRM, database, etc.).
{{ contact.first_name }}{{ contact.email }}{{ join (pluck order.line_items "title") ", " }}order.line_items."title").Once you format product data, you can log it, message it, or send it anywhere your workflows connect.
Opens in a new tab.
Yes. Replace the default comma separator with any character or string, such as ; or | , to format the output as needed.
If no matching items exist in the dataset, the Join helper returns an empty string. Ensure the trigger provides the expected order data.
Yes. You can extract and format any available field from your dataset, such as SKU, price, quantity, or custom attributes.
Any platform that accepts structured data—such as Google Sheets, CRMs, databases, or analytics tools—can receive the formatted output.
Use test submissions to inspect the output at each step and confirm the dataset structure matches your Pluck and Join expressions.
Pluck + Join helps you standardize order data once—then use it across spreadsheets, notifications, CRMs, and integrations.
Cleaner data. Better automations.
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