How to Connect Klazify to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Klazify

You have an Excel workbook full of domain names — publisher lists, prospect accounts, inbound leads, partner directories. You need each row enriched with IAB categories, firmographic data, social links, or tech stack, and you need it without exporting rows to a script, running the API calls manually, and importing the results back into a workbook that has probably been updated while you were gone.

Klazify is good at answering one question per API call: what is this domain, who runs it, what technology does it use, and what does it look like? But getting a column of domains enriched and back into Excel is more work than it looks. The default path involves a CSV export, a Python or Power Query script, API authentication, JSON parsing, and a paste-back that never quite lines up with the original workbook formatting.

Below are the four ways teams work around that. One of them skips the whole detour.

Method 1: Manual Copy-Paste (or CSV Export)

The starting point for most people working in Excel. Export the domain column as a CSV, run it through a script or paste domains one at a time into an API console, gather the responses, and import the results back. Or just paste manually, row by row.

For a handful of lookups, this is survivable.

The problem is that domain enrichment is not a one-time task. Publisher lists get refreshed. Prospect pipelines grow. Inbound leads arrive in batches. Each cycle means another export, another run, another import — and the import never quite lines up cleanly with the workbook you're importing into because someone added a column since the last time you ran this.

Week three of the same cycle is when people start quietly wondering if there is a better way.

Method 2: Power Automate

Power Automate has HTTP action steps that can call the Klazify API, and you can connect that to Excel data through Office 365 connectors. You wire a trigger — a new row, a scheduled run — call the endpoint, parse the response, and write back.

A quick question before describing what that involves: are you comfortable with HTTP actions, JSON parsing, dynamic content mapping, and error-handling flows in Power Automate? If those feel unfamiliar, this path is going to cost you more time to set up than it saves. Method 4 is the better starting point for you.

If you are still here, the workflow is real. You add an HTTP action pointing to Klazify's API, set the authorization header, map the domain field from your Excel row, parse the JSON response using Power Automate's expression syntax, and write specific fields into the right columns. That covers one row per trigger fire.

The structural limit: one row at a time is a hard ceiling for this pattern.

Sending 800 account domains through Power Automate means 800 separate HTTP calls, 800 flow runs, and a run history that becomes hard to debug when row 312 returns a response shape you didn't account for in your JSON expression.

You probably just need the employee count and HQ country columns filled in. You probably have no idea how to write a Power Automate expression that parses a nested JSON object — and that's a reasonable place to be. So it goes to whoever on your team handles these flows, and now you're waiting on their availability instead of just having the data.

And the moment you need to filter by category before writing back, or join against a second worksheet, you've hit the edge of what this pattern can do.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the most practical repeatable option was a category of Excel add-ins and API connector tools that let you configure API calls against a worksheet column. You set your input range, you mapped the response fields to output columns, you saved the config, you ran it.

That was a real step up from the export-run-import cycle. The config was reusable, the column mapping was consistent, and you didn't have to redo the formatting every time.

But you were still responsible for knowing which Klazify endpoint to call, how to handle array-valued responses like tech stack lists, which rows to skip because they'd already been enriched, and what to do when the confidence score came back below threshold. The tool moved the data. Every decision about which data and under what conditions was still yours to configure and maintain. When the workbook structure changed, so did the config.

This is the previous generation. It solved part of the problem.

The Easy Way: Using SheetXAI in Excel

There is a different approach. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the worksheets, understands the structure of your columns, and through its built-in Klazify integration it can classify, enrich, or expand your domain list on request. No endpoint configuration, no JSON parsing, no formula maintenance. You just ask.

Example 1: Bulk-classify a publisher domain list by IAB category

For every domain in column A of the "Publishers" worksheet, call Klazify and write the top IAB category label and confidence score into columns B and C

Each row gets its category label and a numeric confidence score. Domains that return multiple categories get the highest-confidence one written first.

Example 2: Enrich inbound leads with firmographic data before routing to sales

For all rows in the "Inbound Leads" worksheet, fetch company data from Klazify and add employee range, revenue band, and HQ country into columns D, E, and F — skip any row where column D is already filled

Enrichment with a guard clause in the same prompt. You're not hitting the API twice for rows that already have answers.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a column of domain names, then ask it to classify, enrich, or expand the list using Klazify. The Klazify integration is included in every SheetXAI plan.