Import addresses in bulk using CSV files. This is the fastest way to add a large number of leads to your account at once.
You can start a CSV import from two places:
Your CSV file must meet the following requirements:
| Requirement | Details |
|---|---|
| File Type | .csv |
| Encoding | UTF-8 or ANSI (auto-detected) |
| Delimiters | Comma (,) or semicolon (;) β auto-detected |
| Headers | First row should contain column names |
| Quoting | Values containing commas or special characters should be wrapped in double quotes (") |
| Empty Lines | Empty lines are skipped automatically |
| Column | Required | Description |
|---|---|---|
street_address | Yes | The street address |
city | Yes | City name |
country | Yes | Country name or code |
state | No | State or province |
postal_code | No | ZIP or postal code |
name | No | Contact or building name |
building_units | No | Number of units (for apartment buildings) |
| Custom Fields | No | Any custom fields configured for your team β mapped via the UI during import |
street_address,city,country,state,postal_code,name "123 Main St",Springfield,US,IL,62701,"John Doe" "456 Oak Ave",Springfield,US,IL,62702,"Jane Smith" "789 Pine Rd",Chicago,US,IL,60601,""
The import follows a 3-step wizard:

When enabled, the system analyzes your CSV column headers and suggests mappings automatically. This is especially useful when your CSV uses non-standard or localized column names. You can review and adjust the suggestions before proceeding.
During import, the system checks for duplicate addresses. For each detected duplicate, you can choose:
The import runs in the background. A progress indicator shows:
You can continue using Sellfaster while the import completes.
.csv filestreet_address, city, country) are mappedIf you see garbled characters: