How to Connect Kadoa to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Kadoa

You have an Excel workbook full of data — competitor URLs to scrape, schema field definitions, workflow IDs to track, extracted product records to enrich. You need it moving between that workbook and Kadoa without rebuilding the bridge on every cycle.

Kadoa is good at turning unstructured web sources into clean, structured records. But the gap between Kadoa and your workbook is all stitched together by hand. The default flow is: run the workflow in Kadoa's UI, export the results as a CSV, open Excel, import the file, fix the column headers against what you had last week, and do it again next cycle.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: CSV Export and Import

The default for Excel users. A Kadoa workflow finishes, you download the CSV from the results view, open it in Excel, and either paste the data into your working workbook or maintain a separate import worksheet that feeds your formulas.

For a single weekly pull it's tolerable. Then the workflow count grows. You're downloading four CSVs, each with slightly different column ordering depending on when Kadoa last updated the output schema, reconciling headers by eye, and trying to remember which worksheet is the authoritative version. The work of moving data starts to take longer than the work of analyzing it.

Method 2: Power Automate

Power Automate has HTTP request actions that can call the Kadoa API, retrieve workflow run records, and write them to an Excel workbook stored in OneDrive or SharePoint.

Before you set up a flow: do you know what an HTTP connector is? An API response schema? How to iterate over a JSON array and map each field to a specific Excel column? If those feel like things you'd need to look up, skip to Method 3 or 4 — this path requires more runway than it first appears.

If you're still here: the flow works. You authenticate, construct the API call with the right workflow ID and cursor for pagination, parse the JSON response, and use an Apply to Each loop to write each record to your workbook.

But looping over 500 records one row at a time is not a bulk import.

Each iteration is a separate write operation, the run history grows quickly, and when Kadoa changes a field name in the response schema, the flow breaks silently until someone notices the wrong column is being populated.

You probably just need the extracted records in column B. You probably have no idea how to build a Power Automate flow with pagination and JSON parsing — and that's a reasonable position to be in. So you hand it to IT or whoever owns the automation stack, and now you're in a ticket queue.

Add any filtering, conditional logic, or cross-sheet lookup on top and you've exceeded what the flow was designed to handle without significant rework.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the most accessible option for repeatable workbook ↔ data-extraction workflows was a category of add-ons that let you configure a source, map columns to specific cells, save a template, and run it again later. The config was reusable, the output was consistent, and the team wasn't rebuilding the import from scratch every cycle.

That was a meaningful improvement over a weekly CSV ritual. Output landed in the right columns, the formatting was predictable, and anyone who ran the saved config got the same result.

But the template design was still on you. Field mapping, conditional inclusion rules, dedup logic — the add-on carried the data, but every decision about what data to carry was yours to configure upfront. If the schema changed, the config broke. Someone had to go back in, re-map the fields, and re-save before the next run.

This is the previous generation. It worked, within those limits.

The Easy Way: Using SheetXAI in Excel

There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you're looking at, and through its built-in Kadoa integration it can push to or pull from Kadoa for you. No template config, no Power Automate flow, no CSV imports. You just ask.

Example 1: Pull extracted records from multiple Kadoa workflows into your workbook

Pull the latest data from all my Kadoa workflows named 'competitor-pricing-*' and paste the results into this workbook starting at A2, then add a Price Delta column comparing column D to my catalog prices in column H.

SheetXAI queries the matching workflows, fetches the most recent run results for each, writes them to the workbook starting at A2, and computes the Price Delta column inline — in one pass.

Example 2: Dedup and flag incomplete records from a specific workflow run

Get the most recent run's extracted records from Kadoa workflow ID wf_abc123, deduplicate by the 'productUrl' field, and flag any rows where the 'price' field is missing or zero.

The pattern: instead of cleaning the data first and then moving it, you ask for both in one prompt. SheetXAI handles the conditional thinking inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with Kadoa workflow IDs or extracted records, then ask it to do one of the tasks above. The Kadoa integration is included in every SheetXAI plan.