How to Connect BaseLinker to Excel (4 Methods Compared)

The Problem with Getting BaseLinker Data Into and Out of Your Workbook

BaseLinker is where your orders live. It is the system that knows which orders are unconfirmed, which products are out of stock, which invoices have not been issued, and which returns are waiting for a refund. It is doing real work, across multiple marketplaces, multiple couriers, and multiple warehouses, simultaneously.

The problem is the gap between BaseLinker and Excel. When you need to analyze orders, audit stock, or prepare a report, you need the data in a workbook. When you have updated data in a workbook, audited counts, corrected statuses, new products from a supplier, you need it back in BaseLinker. That round-trip is where operations teams lose hours every week.

Excel users have an extra problem: you are often working in a file on your desktop or SharePoint, not in the browser, which means there is no live connection to BaseLinker unless someone has built one. The usual path is to export a CSV from BaseLinker, open it in Excel, do the work, and then figure out how to get the corrected data back in.

Below are the four common ways people move data between BaseLinker and Excel. Only the last one really handles the work.

Method 1: Use BaseLinker's Export Function and Manual Re-Import

The built-in path. You log into BaseLinker, configure a filter, export a CSV, open it in Excel, work with the data, and then either re-import via CSV upload or update BaseLinker manually row by row.

When this works:

• One-off exports where you just need to read the data
• Small order batches where manual update is tolerable
• Reports that do not need to write anything back to BaseLinker

When it breaks:

• You need more columns than the export template supports
• You need to write updated data back to BaseLinker after working with it in the workbook
• The export does not support the specific filters your warehouse team needs
• You need to do this every morning and the export configuration resets

The fundamental limitation is directionality. The export gets data out. Getting corrected data back in requires manual entry or a CSV re-import that risks overwriting fields you do not want touched. For a 500-row stock audit, that is a full morning of work before the warehouse can resume fulfillment.

Method 2: Use Power Automate to Trigger BaseLinker Actions From Workbook Changes

If your Excel workbook lives on OneDrive or SharePoint, Power Automate can watch it for changes and trigger BaseLinker API calls. You configure a flow that detects a row change or a new row, then calls the BaseLinker REST API with the row's values.

This works for event-driven moments:

• A new row appears in the workbook → create a BaseLinker order
• A cell changes to "Shipped" → update the BaseLinker order status
• A new product row is added → create the product in BaseLinker

This fails for batch or analytical work:

• You have 200 rows that all need updating at once after an audit
• You need to group rows by supplier before creating purchase orders
• You need to pull a set of records from BaseLinker based on criteria in the workbook, not on a row-change trigger
• You need the output of a BaseLinker call written back to a specific cell in the same row

Power Automate fires on row changes, not on demand. It does not group rows, aggregate across a dataset, or apply conditional logic based on what other rows contain. It also does not run at all for workbooks stored locally, not on SharePoint.

Method 3: The Previous Generation, BaseLinker API Wrappers and VBA Scripts

Until recently, the practical option for bidirectional BaseLinker and Excel workflows was to write a VBA macro or use an add-in that connected to BaseLinker's REST API. You would configure the endpoint, paste in your API key, map the response columns, and run the macro.

That was a real step up from manual exports. The data came in automatically, the mapping was consistent, and the team did not have to log into BaseLinker every morning.

But you were still responsible for building the query logic, handling BaseLinker's pagination, managing rate limits, writing error handling for failed rows, and maintaining the macro when BaseLinker changed an API endpoint. If the workbook moved to a new machine, the macro broke. If a new hire needed to run it, they needed instructions and a moment of courage.

This is the category we think of as the previous generation. It worked, but it asked a lot of the operator, and it required someone comfortable writing and maintaining VBA or JSON configuration in an add-in.

The Easy Way: Using SheetXAI in Excel

There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook, both on Excel for the web and Excel desktop. It reads the workbook, understands what you are looking at, and through its built-in BaseLinker integration it can pull orders, update stock, create products, register tracking numbers, issue invoices, and more, directly from a prompt in the sidebar. No macros, no API configuration, no template mapping, you just ask.

Example 1: Your Data Is Already in the Workbook

You have a workbook with 200 order IDs in column A and new status codes in column B. The warehouse just finished packing and you need to move all of them to Shipped in BaseLinker.

Update the BaseLinker status for every order ID in column A to the status ID in column B. Process all 200 rows and write "done" or the error message into column C for each row.

SheetXAI reads the workbook, calls BaseLinker's status update API for each row, and writes the result back. Done before lunch.

Example 2: Your Data Lives in BaseLinker

You need a morning pick list for the warehouse team. Nothing is in the workbook yet.

Fetch all unconfirmed BaseLinker orders from the last 24 hours. Write order ID, customer name, product SKUs, quantities, and shipping address into this workbook starting at row 2. One row per order.

SheetXAI calls the BaseLinker orders API, paginates through the results, and fills the workbook. The warehouse team has their pick list without anyone logging into BaseLinker.

Which Method Should You Use

For a pure one-off read, BaseLinker's built-in export is fine if the columns you need are there. For event-driven work where a new row in SharePoint should always trigger a BaseLinker action, Power Automate handles simple cases adequately.

For batch operations, bidirectional work, and anything requiring conditional logic across rows, SheetXAI is the only option that handles it without code. Updating 500 stock quantities, creating 300 products from a supplier workbook, registering 200 tracking numbers, issuing 120 invoices, these are all one-prompt operations in SheetXAI. The same prompt that reads your workbook also calls BaseLinker and writes the results back.

Try It

Get the 7-day free trial of SheetXAI and open any workbook with BaseLinker order IDs, product data, or stock counts. The BaseLinker integration is included in every plan.

For specific workflows, see how to pull open orders into a workbook for fulfillment planning, how to bulk-update stock after a warehouse audit, or browse the full integrations directory.