The Scenario
You are a lead generation specialist. You ran a manual prospecting session last week and ended up with 400 LinkedIn profile URLs and names collected into a Google Sheet from a mix of Sales Navigator searches and referral lists.
Before you can run the auto-connect Phantom, you need all 400 leads saved into PhantomBuster's org lead storage. Phantoms can only act on leads that exist in storage.
The bad version of this afternoon:
- You open PhantomBuster and look for a bulk import option
- There is a CSV import, but it only works with specific column headers that do not match your sheet
- You reformat the sheet headers to match PhantomBuster's template
- You upload the CSV and get a partial import with 23 errors and no explanation
- You fix the errors manually in the CSV and re-upload
- You verify the count in PhantomBuster by hand by scrolling through the lead list
- You start the Phantom at 4 PM instead of noon and miss your outreach window for the day.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads your lead rows and pushes them into PhantomBuster storage directly, in the batches PhantomBuster expects, without you touching the PhantomBuster UI.
Open the SheetXAI sidebar and type:
For each row in the Google Sheet, columns: linkedinUrl, firstName, lastName, companyName, jobTitle, save up to 20 leads at a time to PhantomBuster org storage and write the stored lead ID into column F.
SheetXAI reads every row, batches the saves in groups of 20, handles any errors per batch, and writes the PhantomBuster lead ID back into column F for each row that saved successfully. You can see at a glance which rows are in storage and which need attention.
What You Get
400 leads saved into PhantomBuster org storage, with the result written back to your sheet:
- Column F — the PhantomBuster lead ID for each successfully saved lead
- Any row without an ID — failed or skipped (SheetXAI will tell you why)
With IDs in the sheet, you know exactly what landed. Count the non-empty cells in column F to confirm 400 saves. Filter the blanks to see what broke. Run the Phantom immediately against the newly saved leads.
The batching is handled for you. PhantomBuster's save endpoint has limits on how many leads you can push at once, and SheetXAI respects those limits automatically.
What If the Data Is Not Quite Ready
Prospecting sheets are messy. SheetXAI handles the inconsistencies before pushing to PhantomBuster.
When LinkedIn URLs are not properly formatted
Some rows have URLs that start with "linkedin.com" instead of "https://www.linkedin.com" and PhantomBuster will reject them.
Before saving to PhantomBuster, normalize the LinkedIn URLs in column A so every URL starts with "https://www.linkedin.com/in/". Then save all rows to PhantomBuster org storage in batches of 20 and write the lead ID into column F.
When some rows are missing a first name
PhantomBuster requires a first name to create a lead object. Blank rows will error.
Skip any row where the firstName column is empty and write SKIPPED — MISSING NAME in column F for those rows. For all other rows, save to PhantomBuster org storage in batches of 20 and write the returned lead ID into column F.
When you want to avoid saving leads who are already in storage
You pulled this list from a larger database and some of these people might already exist in PhantomBuster. Duplicates waste storage.
For each row in the sheet, first search PhantomBuster for a lead with the matching LinkedIn URL. If a match is found, write EXISTS — [leadId] in column F. If no match is found, save the lead and write the new lead ID in column F. Process in batches of 20.
When you need to push, verify, and prepare the Phantom in one go
You want the leads in storage and a clean confirmation you can hand to the growth team.
For each row in this sheet, save the lead to PhantomBuster org storage in batches of 20 using the linkedinUrl, firstName, lastName, companyName, and jobTitle columns. Write the returned lead ID into column F. After all rows are processed, count the successful saves and the failures and write a summary into cell H1: "Saved: X / Failed: Y". Flag any failed rows with FAILED in column G.
The pattern: push the data, verify the result, and document the outcome in one prompt. The Phantom can run before lunch.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with LinkedIn leads, then ask it to push them into PhantomBuster storage. The PhantomBuster integration is included in every SheetXAI plan. For related workflows, see how to export all PhantomBuster leads back to a sheet or the PhantomBuster in Google Sheets overview.