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

The Problem With Getting Sheet Data In and Out of Adyntel

You have a Google Sheet full of competitor domains, prospect lists, or product keywords. You need Adyntel's ad creative data — LinkedIn copy, Meta creatives, Google Display formats, TikTok hooks — landed in that sheet without opening a browser, running a manual search per domain, and copying results row by row.

Adyntel is good at surfacing ad intelligence across LinkedIn, Meta, Google, and TikTok from a single API call per domain. But connecting that API to a spreadsheet is, by default, your problem to solve. The usual flow is opening Adyntel's interface or calling the API directly per domain, then pasting what comes back into the right row and column by hand.

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

Method 1: Manual Copy-Paste

The default. Open Adyntel, search a domain, look at the ad results, copy the headline, body copy, and format into the corresponding row in your sheet. Repeat for the next domain.

It works the first time. It works for five domains. By domain twelve, you're making transcription errors — wrong column, wrong row, ad copy truncated because you didn't notice the ellipsis in the preview. And when the sheet has 80 domains because someone added a second competitor list halfway through the project, you're not finishing that audit before the end of the week.

The specific grind with Adyntel data isn't just volume — it's that each domain query returns a different number of ads, in a different format, with fields that don't map neatly to a fixed column structure. Every domain is a small judgment call about what goes where. By domain thirty, those small calls have added up to a full afternoon.

Method 2: Zapier or Make

Both platforms have Adyntel connector options. You can wire up a trigger on a new sheet row, call the Adyntel API for that domain, and write the results back into adjacent columns.

Before you go further — do you know what an authentication token is? A REST trigger? Field mapping? If those words feel unfamiliar, you're better off skipping to Method 3 or 4. This path is built for someone who's comfortable inside an automation builder, and if you're not, you'll spend your afternoon learning the tool instead of getting the data.

If you're still here: setup involves authenticating to Adyntel's API, configuring the right endpoint for LinkedIn vs. Meta vs. Google vs. TikTok ads, mapping the response fields to your column letters, and handling cases where a domain has zero ads (which returns a different shape than one that has thirty).

The flow works. The problem is the structural ceiling.

A row-by-row trigger is not a bulk operation. Pulling ad data for 80 domains means 80 separate API calls, 80 trigger fires, and a task history that becomes very hard to read when domain 41 returns a malformed response and the rest silently pass it by.

You probably just need the ad copy for every domain in column A. You probably have no idea how to configure an API connector in Make, and you definitely shouldn't have to learn one just to get competitor data into a spreadsheet. So you push this to whoever on your team understands automations — and now you're waiting on a Slack reply that may or may not arrive before your campaign deadline.

And once you need to filter by ad format, score by estimated duration, or join against a second tab with your own campaign data, you've moved well outside what a row trigger can do.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable spreadsheet ↔ Adyntel workflows was a category of add-ons that let you manually configure column mappings and saved templates. You picked your range, tagged your fields, saved a config, ran it.

That was a real step up from copy-paste. Output was consistent, configs were reusable, and the team didn't have to redo the column mapping every time.

But you were still responsible for the template design, the field mapping, the schedule, the conditional logic about which domains to include, and the renaming of columns when Adyntel updated their response schema. The tool got the data through, but the thinking was still entirely on you. And the moment someone renamed the "Company Domain" column to "Target URL," your config broke until someone went back in and fixed it.

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

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 the sheet, understands what you're looking at, and through its built-in Adyntel integration it can pull LinkedIn, Meta, Google, or TikTok ad data for every domain in your list. No template configuration, no automation glue, no copying results by hand. You just ask.

Example 1: Bulk LinkedIn ad audit for a competitor list

Pull LinkedIn ads for every domain in column A and write the ad headline, body copy, and format into columns B, C, and D

The result: one row per domain, three columns populated with the most recent active LinkedIn creative data. If a domain has no ads, the row gets a "no active ads" note rather than a blank that you'd have to wonder about later.

Example 2: Flagging long-running creatives across domains

For each company domain in column A, fetch their LinkedIn ads from Adyntel, add the number of active ads in column E, and flag any ad that appears to have been running longer than 60 days as 'evergreen' in column F

The pattern: instead of pulling the data first and then applying the analysis, you ask for both in one prompt. SheetXAI handles the conditional scoring inline.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a list of competitor domains, then ask it to pull ad creatives from Adyntel for every row. The Adyntel integration is included in every SheetXAI plan.