How to Connect Crustdata to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Crustdata

You have an Excel workbook full of data — company names, domains, prospect accounts, lead records. You need Crustdata's firmographic signals, headcount trends, and LinkedIn activity appended to those rows before a pipeline review, a board deck, or a competitive brief.

Crustdata is good at returning structured B2B intelligence in real time via its API. But getting that data into a workbook the way you actually want it — row by row, column mapped, formatted correctly — is more work than it should be. The usual flow is: you export a CSV, upload it somewhere, run a script or use a browser tool, and then paste the enriched output back in without clobbering the formulas already in the workbook.

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

Method 1: CSV Export and Manual Merge

The default for Excel users. You export your company list as a CSV, run it through Crustdata's interface or a one-off script, get the enriched file back, and then merge the new columns into the original workbook by hand.

For a single batch this is survivable. For anything that needs to happen more than once, it immediately becomes a process that lives in someone's head and breaks when that person is on vacation.

The specific grind here is the merge step. Two files, different row orders, one slightly different company name that ruins a VLOOKUP. You spend more time reconciling the files than you would have spent doing the lookups manually in the first place.

Method 2: Power Automate

Power Automate has Crustdata connectors available for enterprise workflows. You can configure a flow that triggers on a new Excel row, calls Crustdata's enrichment API, and writes the response fields back to the workbook.

A quick checkpoint — are you comfortable with Power Automate flow editors? Do you know how to configure REST connectors, handle JSON response schemas, and set up column-write actions? If that sentence was unfamiliar in any part, Method 3 or 4 will get you there faster.

For those still reading: the flow can be built. You pick your trigger, authenticate with Crustdata, map the response fields to Excel columns, and run it.

The structural ceiling is the same as every row-at-a-time automation.

Enriching 300 accounts means 300 individual HTTP calls. When Crustdata returns a partial response for row 89 because the company name didn't match, Power Automate logs an error in the run history and moves on silently. You discover the gap later, when someone asks why column C is blank for a third of the list.

You probably just need the headcount data ready before Thursday's QBR. You probably have no idea how to configure a Power Automate REST connector with error handling — and that's a completely reasonable position. So you escalate it to whoever owns enterprise tooling, and now you're waiting on a ticket in a system where tickets take two weeks.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best repeatable option for Excel-to-Crustdata workflows was a category of add-ins that let you save column mappings and run them on a schedule. You picked your range, tagged your fields, saved a config.

That was better than doing it by hand. Consistent output, reusable runs, less reformatting.

But the config was only as good as your worksheet structure. The moment a column shifted or a worksheet was renamed, the mapping broke. You were still responsible for the field definitions, the filter logic, and what to do when Crustdata returned nothing. The tool transported the data; the judgment calls were still yours. And maintaining that config across quarterly schema changes was its own full-time tax.

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 your workbook, understands the structure, and through its built-in Crustdata integration it can enrich your rows, pull timeseries data, fetch LinkedIn signals, or build contact lists — based on a single prompt.

Example 1: Bulk firmographic enrichment across 400 rows

Look up each company in my Excel sheet using Crustdata's company screener and fill in industry, total funding amount, and last funding date for all 400 rows

SheetXAI iterates over the company list, calls Crustdata for each one, and writes the returned values into the specified columns — flagging any rows where Crustdata returned no match.

Example 2: Quarterly headcount pivot table build

Use Crustdata to fetch quarterly headcount snapshots for each company in column A and build a pivot-ready table in a new worksheet with company, date, and headcount columns

The prompt creates the destination worksheet and populates it in the right shape for pivot analysis without requiring a second instruction.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a company list or prospect pipeline, then ask it to enrich the rows using Crustdata. The Crustdata integration is included in every SheetXAI plan.