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CSV Import: Customers
A
Written by Anna Verbichenko
Updated over 6 months ago

A customers CSV file for import must have a name customers-xxxxxx.csv, where the part -xxxxxx can be anything you want, or can be omitted.

Examples of correct product CSV file names:

  • customers.csv;

  • customers-13-01-01.csv;

  • customers-from-my-provider.csv

A customers CSV file must contain at least two fields:

  1. login - unique identifier of a user (user email);

  2. status - the status of a user (either E (enabled) or D (disabled)).

A sample of the simplest customers CSV file is as follows:

There are many more fields that you can include into your product CSV file. Below is a list of supported fields and their respective value types for the import of customers:

Field in CSV file

What this field describes

login*

Unique identifier of the user. Email is used as login.

String,
Max. length: 128

status*

User status. Possible values are:

  • E - user is enabled;

  • D - user is disabled.

Enum

added

Service field containing the date of registration

Date

firstLogin

Service field containing the date of first successful login

Date

lastLogin

Service field containing the date of last successful login

Date

referer

Referer link

Date

language

Two-symbol code of the language (e.g. en)

String,
Max. length: 2

membership

Membership of the user

String

password

Password. Will be encrypted and stored as a hash.

String

forceChangePassword

Should be Yes if user is required to change his password on next login and No otherwise.

Yes/No

addressField

A very special service field. Has a row on each address and a column on each address part, such as zipcode. Column name is combined from part name and 'addressField' word.

See example below.***

Multicolumn,
Multirow

* Required field.

** See CSV Field Notices for more info.

*** addressField example:

Tips:

  • If you are going to import data into X-Cart and do not wish to update certain X-Cart fields during the import process, you should not include these fields in your CSV file for import. Simply remove the respective column(s) from the file.

Related pages:

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