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PhantomBuster · Google Sheets Guide

Pull PhantomBuster Agent Usage Stats Into a Sheet for Cost Review

2026-05-13
4 min read
See the Excel version →

The Scenario

You are a RevOps manager. It is the third week of the month and your monthly cost review is on Thursday. Your VP of Growth wants to know which Phantoms consumed the most execution minutes last month, which agents have not run in 30 days, and whether the team is tracking against the credit budget.

All of that data lives inside PhantomBuster's usage export. None of it is automatically in a Google Sheet.

The bad version of this Thursday:

  • You log into PhantomBuster and pull the agent list from the dashboard manually
  • You export the usage CSV from the billing section
  • The CSV has 47 agents and uses internal IDs, not readable names
  • You spend an hour cross-referencing IDs to agent names in a separate tab
  • You calculate execution minutes per agent by hand in a pivot table
  • You flag the dormant agents manually using a filter and eyeballing dates
  • You walk into the Thursday review with a half-finished spreadsheet and three agents you cannot account for.

The fast version is one prompt before the meeting.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent inside your spreadsheet that can pull PhantomBuster agent data and usage stats directly, so you never have to download and reconcile the usage export by hand.

Open the SheetXAI sidebar and type:

Fetch the PhantomBuster agent usage export CSV for this organisation and load each agent name, launch count, total execution minutes, and last run date into columns A through D.

SheetXAI calls PhantomBuster's API, retrieves the usage data, and writes it into the sheet with readable agent names in column A and the metrics you need in B through D. No ID-to-name lookup, no pivot table.

What You Get

A clean usage report in your Google Sheet covering every active Phantom in the account:

  • Column A — agent name (human-readable, not an internal ID)
  • Column B — total launch count for the period
  • Column C — total execution minutes consumed
  • Column D — last run date

With this in the sheet, your budget analysis takes five minutes. Sort by column C to find the biggest credit consumers. Filter column D for dates older than 30 days to find dormant agents. Hand the sheet to your VP and let the formulas do the commentary.

What If the Data Is Not Quite Ready

Usage exports often need context before they are useful in a review. SheetXAI handles the framing in the same prompt.

When you need to flag dormant agents inline

You want the dormant flag in the sheet, not just as a filtered view.

List all PhantomBuster agents for this account, write agent name, ID, status, and last run timestamp into columns A through D, then flag in column E any agent that has not run in the last 30 days with the label DORMANT.

When you need to rank by credit consumption

The VP wants to see the top five credit consumers called out at the top of the report.

Fetch the PhantomBuster usage export and write agent name, launch count, and execution minutes into columns A through C. Sort the sheet by execution minutes descending. In column D, write TOP CONSUMER for the top 5 rows and leave the rest blank.

When you want to include the cost estimate alongside the usage

Your organization pays per execution minute and you want the dollar figure next to the minutes in the review.

Write all PhantomBuster agent usage into columns A through D with agent name, launch count, execution minutes, and last run date. In column E, calculate an estimated cost by multiplying column C by 0.003 and format as currency. Sum column E in the last row and label it TOTAL ESTIMATED COST.

When you need the full cost review in one prompt: pull, flag dormant, rank, and estimate cost

The Thursday review is in an hour and you need the complete picture now.

Fetch all PhantomBuster agent usage for this account. Write agent name, launch count, execution minutes, and last run date into columns A through D. Sort by execution minutes descending. In column E, write DORMANT for any agent whose last run date is more than 30 days ago. In column F, calculate estimated cost at $0.003 per execution minute, formatted as currency. In column G, write TOP 5 for the five agents with the highest execution minutes. Sum column F in the last data row and label it TOTAL.

The pattern: the review document is the deliverable, not a raw export you still have to format.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet, then ask it to pull your PhantomBuster agent usage into the sheet. The PhantomBuster integration is included in every SheetXAI plan. For related workflows, see how to list all Phantom agents for an infrastructure audit or the PhantomBuster in Google Sheets overview.

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