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

The Problem With Getting Sheet Data In and Out of Spotlightr

You have a Google Sheet full of video data — source URLs from Vimeo or Google Drive, course titles, group assignments, video IDs from your existing library. You need to get that data into Spotlightr to create or update videos, or you need Spotlightr's analytics and view records pulled back into the sheet for reporting. Neither direction is quick.

Spotlightr is good at hosting, gating, and tracking video engagement. But the path between your spreadsheet and your Spotlightr account is almost entirely manual. The default flow is to open the Spotlightr dashboard, navigate to the right project, click through each video's settings screen, and enter or copy values one at a time — which is tolerable for three videos and excruciating for thirty.

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

Method 1: Manual Copy-Paste

Open Spotlightr, click "Add Video," paste the source URL, type the title, assign the project. Then go back to your sheet, find the next row, and repeat. For a sheet of 45 training video URLs, that's 45 trips through the same four-field form.

The first few rows feel fine.

By row twelve, you're moving faster than you should and making typos in titles. By row twenty-five, you've misassigned two videos to the wrong project group and won't discover it until someone reports broken links in the course. The data was already in your sheet. You had to retype it anyway.

Method 2: Zapier or Make

Both platforms have Spotlightr connector options. You can wire up a trigger on a sheet row being added or a schedule that polls the sheet, call the Spotlightr API, and write the result back.

Quick question before you go further — do you know what a webhook trigger is? An HTTP connector? How to map a field from a Zap step to an API body parameter? How to handle a 422 response when the project name doesn't match what Spotlightr expects? If any of that feels murky, skip to Method 3 or 4. This path is genuinely not for everyone, and that's fine.

If you're still here: the Zap works. You authenticate with your Spotlightr API key, configure the trigger on a Google Sheets row, map the title and source URL fields, and test a few rows through. The flow runs.

The problem is what it handles and what it doesn't.

A row-at-a-time automation is not the same as a bulk operation. Fifty new videos means fifty separate API calls, fifty trigger events, and a task log that becomes a scrolling wall when three of them fail because a source URL returned a redirect instead of a direct file.

You probably just need the videos created and the IDs written back into the sheet. You probably have no idea how to configure retry logic for a partial-failure Zap — and why would you. So you hand this to whoever on your team manages automations, and now you're watching Slack for a reply while the course launch sits.

And once you need anything more than a straight row-to-API pass — filtering by a status column, grouping by a second field, writing results back into a different tab — you've left Zapier's native capabilities behind.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable spreadsheet-to-Spotlightr workflows was a category of add-ons that let you configure a column mapping and run it on demand. You picked your source range, you tagged your title field and your URL field, you saved a template, you ran it.

That was a genuine improvement over copy-pasting row by row. Templates were reusable, the output was consistent, and the team could hand the sheet to someone else and have them run the import without rebuilding it from scratch.

But you were still responsible for every decision the tool didn't make for you — which columns map to which API fields, what to do with rows missing a source URL, how to handle the group assignment when Spotlightr's project name has changed since you saved the config. The add-on moved the data; the thinking was still entirely on you. And when your sheet structure changed, your config broke until someone 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 are looking at, and through its built-in Spotlightr integration it can create videos, pull analytics, manage groups, and write results back — all from a single prompt. No template configuration, no automation glue, no copying values by hand.

Example 1: Bulk-create 45 training videos from a roster sheet

Create a Spotlightr video for every row in this sheet — use column A as the title and column B as the source URL, grouping each video into the project named in column C.

SheetXAI reads the sheet, calls the Spotlightr API once per row, and writes the returned video IDs back into column D. Any rows where the source URL is unreachable get flagged in column E.

Example 2: Pull this week's analytics for a performance report

For each video ID in column A, fetch the Spotlightr metrics — loads, plays, playRate, completionRate — and write the results into columns B through E.

The pattern: instead of exporting a CSV from Spotlightr, reformatting it, and doing a VLOOKUP to match IDs, you ask for the data directly against the IDs already in your sheet. SheetXAI handles the API calls and the writeback in one pass.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with Spotlightr video data — a list of source URLs to upload, a column of video IDs to pull analytics for, or a group mapping you need to apply. The Spotlightr integration is included in every SheetXAI plan.