The Scenario
You are a growth hacker. For the past three months you have been running LinkedIn scraping Phantoms, connection request campaigns, and profile visitor scrapers. The leads have been accumulating in PhantomBuster's org storage the entire time.
It is now the end of the quarter. Your head of sales wants every lead in a Google Sheet, today, with name, LinkedIn URL, company, title, and email, so the team can deduplicate and route to outreach sequences before the new quarter starts.
The bad version of this afternoon:
- You log into PhantomBuster and realize the leads are not in a single place, they are scattered across Phantom run outputs
- You download six CSVs from six different Phantom runs
- Three of them have different column names for the same field
- You spend forty-five minutes reconciling column headers in a sheet
- You discover 300 rows are duplicates across the runs
- You deduplicate by hand, row by row
- You hand the sheet over at 6 PM and it still has gaps nobody can explain.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads what you are trying to do and talks to PhantomBuster's lead storage directly, bypassing the Phantom run CSV problem entirely.
Open the SheetXAI sidebar and type:
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 queries PhantomBuster's org storage API with pagination, handles the full result set regardless of how many leads are in there, and writes every field into the sheet. Two thousand rows land in columns A through F. You did not open a single CSV.
What You Get
A flat, queryable Google Sheet containing all leads currently in your PhantomBuster org storage:
- Column A — full name
- Column B — LinkedIn profile URL
- Column C — company name
- Column D — job title
- Column E — email address (where available)
- Column F — date added to storage
The data comes from org storage, not from individual run outputs. That means if you enriched or deduped leads inside PhantomBuster after scraping them, the enriched version is what lands in the sheet.
Once the data is in the sheet, you can run SheetXAI again to deduplicate by LinkedIn URL, flag rows missing an email, or sort by company and date before handing to the outreach team.
What If the Data Is Not Quite Ready
Lead storage exports are rarely pristine. SheetXAI can clean and filter in the same prompt.
When the same LinkedIn URL appears under two different name spellings
PhantomBuster scraped the same person from two different Phantom runs and the name field came back slightly differently each time.
Write all PhantomBuster leads into this sheet, then identify duplicate LinkedIn URLs in column B and keep only the most recently added row for each, writing DUPLICATE into column G for the rows that were removed.
When you only want leads added in the last 90 days
You ran a big legacy scrape two years ago and do not want that cohort mixed in with the current quarter's work.
Search PhantomBuster lead objects and filter to leads added in the last 90 days only. Write name, LinkedIn URL, company, job title, and email into this sheet, one lead per row.
When emails are missing for most of the leads
You scraped LinkedIn profiles but email enrichment was not part of the Phantom configuration. You want to flag which rows need enrichment before routing to outreach.
Write all PhantomBuster leads into columns A through F of this sheet. In column G, write NEEDS ENRICHMENT for any row where the email field is blank. Then count the total leads, the leads with email, and the leads needing enrichment and write those three numbers into cells H1, H2, and H3.
When you need the full picture: pull, deduplicate, flag gaps, and summarize in one go
The head of sales wants a clean handoff file right now. No back-and-forth.
Search all PhantomBuster lead objects and write name, LinkedIn URL, company, job title, email, and date added into columns A through F. Deduplicate by LinkedIn URL in column B, keeping the most recently added entry. Flag rows with no email in column G as NEEDS ENRICHMENT. In row 1 above the data, write a summary line showing total leads, unique leads after dedup, and leads needing enrichment. Sort the data by company name.
The pattern: instead of pulling raw data and then spending the afternoon cleaning it, you ask for the clean version in one prompt. The sheet is ready to hand off.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet, then ask it to pull your PhantomBuster lead storage into the sheet. The PhantomBuster integration is included in every SheetXAI plan. For related workflows, see how to push leads back into PhantomBuster storage or the PhantomBuster in Google Sheets overview.