How to Connect RocketReach to Excel (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of RocketReach

You have an Excel workbook full of prospects — company names, domains, LinkedIn URLs, job titles. You need verified contact details pushed back in, enriched with firmographics, or segmented by size tier. And you need it done across hundreds of rows, not just the one account you're prepping for a call.

RocketReach is good at finding and verifying professional contact data at scale. But the path between a raw Excel workbook and a RocketReach-enriched list is more friction than it sounds. The default approach is saving your workbook as CSV, uploading it into RocketReach's bulk enrichment tool, waiting, downloading the output, then manually mapping the returned fields back into your original columns — hoping the cell formatting held and that nothing shifted during the import.

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

Method 1: Manual CSV Export and Re-Import

The default for Excel users. You save a worksheet as CSV, upload it to RocketReach's bulk enrichment feature, wait for the results, download the enriched file, and then match the new columns back into your original workbook by hand.

For a one-time run, it's manageable. For a recurring workflow — weekly list refreshes, rolling account enrichment, ongoing recruiting pipelines — it becomes a ritual nobody wants to own. The download comes back with slightly different column names than your original. The row order doesn't always match. Someone has to reconcile them, and that someone is usually you, usually at the end of the week when there's already a backlog.

Method 2: Power Automate

Power Automate has connectors that can talk to external APIs, and with enough configuration you can wire a flow that reads rows from an Excel table, calls RocketReach, and writes results back.

Before going further: are you comfortable working with Power Automate's expression language? Setting up HTTP request actions with custom headers? Parsing JSON responses into individual column values? If those feel unfamiliar, skip to Method 3 or 4 — the setup time won't be worth it.

For those still here: the flow is buildable. You trigger on a schedule or on table update, iterate over rows, call the RocketReach API with the right parameters, extract the fields you need from the response, and write them back to the correct Excel columns. When the response structure changes, your expression breaks.

But Power Automate processes one row at a time, not a batch.

Running 300 accounts through a flow means 300 individual HTTP calls, 300 response-parsing steps, and a run history that becomes a wall of green checkmarks hiding the three rows that silently wrote blank values because the lookup returned null.

You probably just need the employee counts. You probably have no idea how to write a Power Automate expression that gracefully handles a null RocketReach response — and that's a completely reasonable place to be. So you send it to whoever on your team knows these flows, and now it's a ticket in their queue. Alongside four other things they're also supposed to be finishing this week.

The per-action costs add up fast once the list size grows.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable Excel-to-RocketReach workflows was a category of add-ins that let you configure column mappings, save a template, and run enrichment on demand. You picked your input columns, tagged your output fields, saved a config, and clicked run.

That was a genuine improvement over the CSV round-trip. The output was consistent, the template was reusable, and you didn't have to remember the mapping every time.

But you were still the one responsible for the template design, the field mapping, the row-inclusion logic, and the column naming. The add-in moved data — the thinking was still on you. And the moment you restructured your worksheet or renamed a header, your saved config stopped matching until someone manually updated it.

The previous generation. It worked, but it was fragile.

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 RocketReach integration it can enrich your contacts, look up companies, or pull back firmographic data — without template configuration, without automation glue, without manually mapping columns. You just ask.

Example 1: Bulk enrich a prospect list with verified emails

For each row in my 'Prospect List' sheet, look up the person in RocketReach using the name in column A and company in column B, then write the verified work email into column C

SheetXAI runs the lookup across every row, handles missing results gracefully, and writes the verified emails directly into column C — flagging rows where RocketReach returned no match so you know exactly where the gaps are.

Example 2: Enrich a company list with employee count and tier

For each company domain in column A of my 'Target Accounts' sheet, get the RocketReach employee count and write it to column B, then write SMB, Mid-Market, or Enterprise into column C based on the count

The pattern: instead of enriching the data first and then writing the segmentation logic, you ask for both in a single prompt. SheetXAI handles the conditional tier assignment inline.

Try It

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