How to Connect Onepage to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Onepage

You have a Google Sheet full of company names, contact records, or prospect lists — and Onepage sitting on the other side, ready to return enriched data the moment you hit the endpoint. The gap between those two things is what slows everything down.

Onepage is good at answering the question "what do you know about this company?" from a single API call. But turning a column of 60 company names into 60 enriched rows is more work than the API itself. The usual flow is: copy a name, paste it into a test client, read the JSON, pull out what you need, type it into the sheet. Then repeat that for every row.

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

Method 1: Manual Copy-Paste

The default. You open your sheet, pick a company from column A, query Onepage through their docs or a REST client, scan the response for the fields you want — description, industry, a summary sentence — and paste each value into the adjacent columns by hand.

For a single row, this takes maybe two minutes. For sixty rows, you're looking at two hours of monotonous, error-prone work that still doesn't cover what happens when a company name returns no result or an ambiguous match.

The data doesn't change overnight, but your prospect list does. Next week you have twelve new names to enrich. The week after that, another fifteen. The workflow that felt like a one-time effort becomes a recurring tax on your research time — and one that's almost impossible to hand off cleanly because the process lives entirely in your head.

Method 2: Zapier or Make

Both platforms have Onepage connector options. You can set up a trigger on a new row in your sheet, call the Onepage search endpoint with the company name, and write the returned fields back into specific columns.

Before going further — do you know what an API connector is? A trigger? Field mapping? How to handle a 404 when the company name doesn't resolve? If those aren't second nature, this path will cost you more setup time than the manual approach. Skip to Method 3 or 4 instead.

If you're still here: the flow works. You authenticate to both services, configure the trigger, map the response fields to your output columns, handle the error case for no-result rows, and test with a handful of companies. The first build usually takes a couple of hours.

But a row-by-row trigger is not a bulk operation.

Sixty new companies means sixty separate Zap fires, sixty API calls, and a task log that becomes hard to read when three of them fail silently because the company name had a trailing space.

You probably just need the enriched description and top data points. You probably have no idea how to set up field mapping in Zapier — and that's reasonable, it's not your job. So the request goes to whoever on your team maintains the automations, and now you're waiting in Slack while they figure out which tier supports the Onepage connector.

And the moment you need to filter which rows get enriched based on a second column — say, only companies in the fintech vertical — you've added conditional logic that turns a two-step Zap into something that needs a developer to maintain.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable sheet ↔ enrichment API workflows was a category of add-ons that let you configure a column mapping once, save a template, and re-run it each time your prospect list grew. You picked your input range, specified the API parameters, tagged your output columns, and hit run.

That was a genuine improvement over copy-paste. Configs were reusable, output was consistent, and you didn't have to redo the column setup every week.

But you still owned the template design. You owned the field selection. You owned the logic about which rows to include, what to do with empty results, and how to handle duplicate company names. The add-on moved data — the thinking was still entirely yours. And when your sheet structure changed or the API updated a field name, the config broke until someone went back and manually patched it.

This is the previous generation. It worked, but it asked a lot of whoever operated it.

The Easy Way: Using SheetXAI in Google Sheets

There is a different way entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads your sheet, understands what you are looking at, and through its built-in Onepage integration it can query the enrichment API for each row and write the results back — without a template, without configuration, without any automation glue.

Example 1: Enrich a column of company names with descriptions and data points

For each company name in column A, search Onepage and write the returned description into column B and the top 2-3 data points into column C. If no result is found, mark column B with "no result".

SheetXAI processes every row, handles the no-result case, and writes everything back to the named columns. You end up with a complete enrichment in one pass.

Example 2: Enrich only rows flagged for outreach

For every row where column D says "target", run an Onepage search on the company name in column A and write the plain-text summary into column E.

The pattern: instead of running the enrichment across the entire sheet and filtering after, you ask for the filter and the action together. SheetXAI handles the conditional logic inline.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a list of company names or contacts, then ask it to enrich a column using Onepage. The Onepage integration is included in every SheetXAI plan.