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Lusha ProspectingPipedrive

How to import Lusha Prospecting into Pipedrive

10 of the 17 columns in a Lusha Prospecting export, mapped into 6 Pipedrive fields under Pipedrive's own names.

Free · 18 KB · Excel 365 or Google Sheets

Check your Lusha Prospecting export first

Built on Lusha Prospecting’s export columnsChecked against Pipedrive’s import rulesUpdated October 13, 2026

One Lusha Prospecting row, through the templatecopied as it ischanged on the way1explained below
  • First name, Last name to Name1joinedPriya Patel
  • Work email to Emaillowercasedpriya.patel@meridian.example.com
  • Job title to Job TitleOffice Manager
  • Company name to OrganizationMeridian
  • Phone 1, Phone 2 to Phone2first with a value+44 20 7946 0960
  • LinkedIn URL, Seniority, Departments to Notes3joined, with labelsLinkedIn: linkedin.com/in/priya-patel-example | Seniority: Manager | Departments: Administration, Finance
Not imported: Phone 1 type, Phone 2 type, Company domain, Company number of employees, City, State and Country. The template leaves these out; map any to a custom field in Operelio.

Where Lusha Prospecting and Pipedrive don’t line up

1

First name and Last name become one Name

Lusha Prospecting keeps First name and Last name apart, and Pipedrive has one Name field.

The template joins them, leaving out any that are empty.

ExportFirst name Priya
Last name Patel
PipedrivePriya Patel
2

Two phone columns, one phone field

Lusha Prospecting splits numbers across Phone 1 and Phone 2.

The template Phone takes the first of Phone 1 and Phone 2 that has a value.

ExportPhone 1 empty
Phone 2 +44 20 7946 0960
Pipedrive+44 20 7946 0960
3

Three columns kept in Notes

This template gives LinkedIn URL, Seniority and Departments no Pipedrive field of their own.

The template writes them into Notes, each with its label, and leaves empty ones out.

ExportLinkedIn URL linkedin.com/in/priya-patel-example
Seniority Manager
Departments Administration, Finance
PipedriveLinkedIn: linkedin.com/in/priya-patel-example | Seniority: Manager | Departments: Administration, Finance

Check your Lusha Prospecting export before you import it

Looks for the 10 columns this template reads, and what Pipedrive would skip.

Drop your Lusha Prospecting CSV here

Runs in your browser. Nothing is uploaded, and results are counts only.

Lusha Prospecting to Pipedrive in three steps

Step 1Export from Lusha
  1. Run a search in Lusha Prospecting and reveal the contacts with Show details.
  2. Check the revealed contacts you want.
  3. Click the Export icon.
  4. The CSV is saved to your computer, emailed to you and kept in Export history.

A CSV export from Search takes up to 150 contacts at a time.

Revealing an email address uses 1 credit and a phone number 5 credits.

Lusha: Export contacts to a CSV fileLusha: How credits are counted
Step 2Paste into the template
  1. Paste the export at A1 of Paste your export here.
  2. Start here checks all 10 columns were found.
  3. Save Pipedrive Contacts import as a CSV.

Works in Excel for Microsoft 365 and Google Sheets. Excel 2019 and older, Apple Numbers and LibreOffice can't run the formulas this file uses.

Just the 6 headers as a CSV

Step 3Import into Pipedrive
  1. Go to Tools and apps, then Import data, then Import from spreadsheet, and click Get started.
  2. Select the kinds of data your file contains, such as People, and click Next.
  3. Click Upload spreadsheet and choose your file.
  4. Check the mapping, drag any unmapped column onto a field, and click Next.
  5. Check the preview, choose how duplicates are handled and click Start import.
Pipedrive's spreadsheet import, screen by screen

Operelio, with the same template

Fixes the capitals in names, formats phone numbers, removes duplicate and blank rows, which the Excel file leaves to you. On every plan. Email verification, a check against your Pipedrive records and dropdowns, and the push, from Starter.

Use this template in Operelio

Questions

Where does Lusha Prospecting's export fill Name, which Pipedrive requires?

Name joins First name and Last name. The checker above counts the rows with Name blank.

Where do LinkedIn URL, Seniority and Departments go?

Into Notes on each person, labeled like "LinkedIn: linkedin.com/in/priya-patel-example | Seniority: Manager | Departments: Administration, Finance".

Which Lusha export does this template expect?

The Prospecting export, which ships separate First name and Last name columns, Seniority and Departments and a Phone 1 / Phone 2 structure. If your export has a single Contact name column instead, that's the User Data export. Use the Lusha User Data to Pipedrive Contacts template for that shape.

Duplicates and undoing an import: Pipedrive import questions.

Try this template free

Upload your Lusha Prospecting export and download a file Pipedrive can import. No credit card needed. The push into Pipedrive is from Starter.