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

The Problem with Getting PhantomBuster Data Into Google Sheets

PhantomBuster is where a lot of sales and growth teams store their scraped leads, company profiles, and Phantom run history. After three months of running LinkedIn scrapers, you can have two thousand lead objects sitting in org storage that nobody has actually looked at as a flat list. You need them in Google Sheets, with a column for name, LinkedIn URL, company, title, and email, so you can deduplicate, score, and route to outreach sequences.

Getting that data out is not impossible. But it is more awkward than it should be. PhantomBuster's web app is built around individual Phantom runs and their output CSVs, not around querying the lead storage database as a whole. The people who built your scraping operation three months ago are not always the same people who need the data today, and the handoff is usually a Slack message saying "it's all in there somewhere."

Below are the four ways teams typically get PhantomBuster data into Google Sheets. Only the last one handles bulk queries and write-back without engineering involvement.

Method 1: Download Phantom Output CSVs and Import Them by Hand

The default path. Every Phantom run produces a CSV. You go into PhantomBuster's dashboard, find the relevant runs, download the CSVs, open each one, and import into your sheet via File → Import or by pasting. If you have five Phantom runs spread across two weeks, that is five CSVs, each with slightly different column names.

When this works:

• You need the output of exactly one Phantom run
• The data is from today and you are not trying to consolidate history
• Someone on the team knows which Phantom produced which data

When it breaks:

• You need to consolidate leads across multiple Phantoms or runs
• You are trying to pull from org storage, not from a specific run CSV
• The columns do not match between runs because different Phantoms use different field names
• You need this on a schedule and cannot babysit the download

The core problem is that downloading CSVs gives you what a Phantom produced, not what is in your lead storage. If you have been deduplicating and enriching leads in PhantomBuster's org storage, the CSV does not reflect any of that.

Method 2: Use Zapier or Make to Sync When a Phantom Finishes

The next step up. You wire Zapier or Make to watch for a Phantom completing a run, and when it fires, you push the new rows into Google Sheets.

This works for event-driven moments:

• New Phantom finishes → append output rows to a master sheet
• Lead saved in PhantomBuster → row added to a tracker
• Phantom error triggered → alert row written to a log sheet

This fails for analytical or batch work:

• Pulling the full org storage history in one shot
• Querying leads by filter criteria (by list, by date added, by company)
• Writing computed results back to PhantomBuster from the sheet
• Any scenario where you need the full picture, not just the new events

Event-driven automation tools move rows when things happen. They do not let you query across the whole storage database and dump it into a sheet as a batch. And they do not know how to push data back in the other direction, saving new lead objects from a sheet into PhantomBuster.

Method 3: The Previous Generation, API Wrapper Scripts

Until recently, the practical solution for teams who needed PhantomBuster data in sheets was to write a script. Someone on the team who knew their way around the PhantomBuster API and either Google Apps Script or a Python runner would build a connector: authenticate with the API key, loop through the leads endpoint with pagination, write the rows.

That was a real step up from manual CSV downloads. The script ran on demand, the output was consistent, and you did not have to open the PhantomBuster dashboard at all.

But you were still responsible for the script. When the API changed a field name, the script broke. When you needed to filter by list ID instead of pulling everything, someone had to go back in and modify the pagination logic. When you wanted to push data back into PhantomBuster from the sheet, that was a second script. The data moved, but the thinking was still on whoever wrote the code.

This is the category we think of as the previous generation. It worked for technical teams who could maintain it, but it was not something a growth hacker or sales ops analyst could touch without help.

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 trying to do, and through its built-in PhantomBuster integration it can query lead storage, pull company objects, check agent stats, push new leads back in, and write results directly into your sheet. No script, no Zapier flow, you just ask.

Example 1: Your Data Is Already in PhantomBuster Storage

You have been running LinkedIn scrapers for three months. Two thousand leads are sitting in org storage and you need them in a sheet.

Search PhantomBuster lead objects with no filter to retrieve all stored leads and write each lead's name, LinkedIn URL, company, job title, email, and date added into this sheet, one lead per row.

SheetXAI calls PhantomBuster's storage API with pagination, handles the full result set, and writes every lead into the sheet. Two thousand rows, done.

Example 2: Your Data Needs to Flow Both Ways

You have a sheet of 400 new LinkedIn profile URLs from a prospecting session and you want to push them into PhantomBuster before running an auto-connect Phantom.

For each row in this sheet, columns for linkedinUrl, firstName, lastName, companyName, and jobTitle, save up to 20 leads at a time to PhantomBuster org storage and write the stored lead ID into column F.

SheetXAI batches the saves, handles the rate limits, and writes the IDs back. One prompt, both directions, with the sheet as the working layer between you and PhantomBuster.

Which Method Should You Use

For a one-off export from a single Phantom run you ran today, downloading the CSV is fine. For event-driven logging where you want new Phantom outputs automatically appended to a master sheet, Zapier or Make are a reasonable fit.

For anything that touches org storage directly, pulling all leads in one shot, filtering by list, querying company objects, pushing data back in, or auditing agent usage across the account, SheetXAI is the only option that does it without a script. If you are doing this kind of work more than once, the prompt you write the first time is the prompt you reuse every time.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet, then ask it to pull your PhantomBuster leads into the sheet. The PhantomBuster integration is included in every plan.

For specific workflows, see how to export all leads for an enrichment audit, how to bulk-push a sheet into PhantomBuster storage, or browse the full integrations directory.