This template reads a username list from Google Sheets, runs your Apify Instagram profile actor, and writes cleaned profile fields back to the sheet.
A schedule starts each batch. JavaScript maps username, bio, and follower counts, then Google Sheets appends the row and marks the username as done. Connect Apify and Google Sheets. Put the Apify API key on the Apify connection.
Latenode bills workflow runtime in CPU seconds. The first 10,000 CPU seconds are free each month, then usage follows pay-as-you-go CPU-second pricing. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how CPU seconds work →Workflow preview
The scenario starts on the cadence you set and loads usernames that are not marked done.
Apify runs your Instagram profile actor for that username batch. Put the Apify API key on the Apify connection.
JavaScript maps username, bio, follower counts, and other actor fields into sheet columns.
Google Sheets appends the profile row and updates the username list so later runs skip people you already collected.
Add a Google Sheets connection. Use one tab for usernames and a done flag, and a second tab for profile results.
Add an Apify connection and paste your Apify API key there. Point the actor at the Instagram profile actor you already use.
Add a schedule. Start with a small batch of usernames so you can check the output before you scale.
In JavaScript, map the actor output to sheet columns. After a successful append, update the username row so the next run skips it.
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