Search customers

A filter to select customers based on when they were created.

A filter to select customers based on their creation source.

A filter to select customers based on one or more custom attributes.
This filter can contain up to 10 custom attribute filters. Each custom attribute filter specifies filtering criteria for a target custom attribute. If multiple custom attribute filters are provided, they are combined as an AND operation.

To be valid for a search, the custom attributes must be visible to the requesting application. For more information, including example queries, see Search by custom attribute.

Square returns matching customer profiles, which do not contain custom attributes. To retrieve customer-related custom attributes, use the Customer Custom Attributes API. For example, you can call RetrieveCustomerCustomAttribute using a customer ID from the result set.

A filter to select customers based on their group membership.

The group_ids is a JSON object of the following general format:

  
    
    
  "group_ids": {
"any":  ["{group_a_id}", "{group_b_id}", ...],
"all":  ["{group_1_id}", "{group_2_id}", ...],
"none": ["{group_i_id}", "{group_ii_id}", ...]
}

You can use any combination of these group_ids fields (also known as FilterValue properties) to specify how customers are selected based on their group membership.
With the any option, the search returns customers in Groups a or b or ... of the list. With the all option, the search returns customers in Groups 1 and 2 and ... of the list. With the none option, the search returns customers not in Groups i and not in ii and not in ... of the list.

If any of the search conditions are not met, including when an invalid or non-existent group ID is provided, the result is an empty list.

You can use the group_ids search filter with other available filters.

You cannot use the group_ids filter to select customers based on segment membership.

A filter to select customers by their phone numbers visible to the seller. This filter is case-insensitive.

For exact matching, this filter causes the search to return customers whose phone number matches the specified query expression. The number in the query must be of an E.164-compliant form. In particular, it must include the leading + sign followed by a country code and then a subscriber number. The standard E.614 form of a US phone number is +12061112222 of the domestic version or +0012061112222 of the international version. The E.164-compliant variations include +1 (206) 111-2222 or +001 (206) 111-2222, respectively. To match the query expression, stored customer phone numbers are converted to the standard E.164 form of the national and internationalized versions.

For fuzzy matching, this filter causes the search to return customers whose phone number matches partially the token or tokens provided in the query expression. For example, with 415 provided in a search query, the search returns customers with the phone numbers +1-415-212-1200, +1-212-415-1234, and +1 (551) 234-1567. Similarly, a search query of 415 123 returns customers with the phone numbers +1-212-415-1234 and +1 (551) 234-1567 but not +1-212-415-1200. A match is found if a tokenized phone number contains all the tokens in the search query, irrespective of the token order.

A filter to select customers by their reference IDs. This filter is case-insensitive.

Exact matching of a customer's reference ID against a query's reference ID is evaluated as an exact match between two strings, character by character in the given order.

Fuzzy matching of stored reference IDs against queried reference IDs works exactly the same as fuzzy matching on email addresses. Non-alphanumeric characters are replaced by spaces to tokenize stored and queried reference IDs. A match is found if a tokenized stored reference ID contains all tokens specified in any order in the query. For example, a query of NYC M matches customer profiles with the reference_id value of NYC_M_35_JOHNSON and NYC_27_MURRAY.

A filter to select customers based on when they were last updated.