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Connecting to Shopify

Overview

Shopify is an eCommerce platform for online stores and retail point-of-sale systems. You can use Skypoint AI's built-in connector for importing data from Shopify.

This document will guide you through the process of connecting Shopify to Skypoint AI.

Prerequisite

You must have the following details to configure and import data using Shopify import connector:

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You can refer to the Shopify Setup guide document to learn more about the Prerequisites.

Import Data using Shopify connector

  1. In the left pane, go to Dataflow > Imports.

The Dataflow window appears.

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  1. Click New Dataflow to create dataflow.

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  1. Enter a Name to identify your Dataflow.
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The name must start with a letter and can only include letters and numbers, with no spaces between them.

  1. Click Next.

Add Shopify Connector

  1. In the All categories or Ecommerce tab, select the Shopify connector to start the configuration.

  2. Also, you can use the Search function to find the Shopify connector.

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  1. Select the Shopify connector to start the configuration.

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  1. Enter the Display Name to identify your Dataflow.

  2. In the Description box, you can enter an explanation of the connector.

  3. Click Next.

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To configure Shopify

Follow the below steps to configure the connection to Shopify:

  1. Enter your credentials such as Uniform Resource Identifier (URI), API Password, and API Key to connect with Shopify.

  2. Click Connect.

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  1. After configuration, you can enter the Table Details to process the data.
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In the Table Details column, you can select only those data fields that you want to import and process.

ItemDescription
PurposeOption to assign a purpose (Data, Metadata) for each table.
Data
Loads customer data.
Metadata
Loads Metadata.
File NameDisplays the name of the file that you imported.
Table NameDisplays the imported table name.
  1. Click Save to apply the changes.

Run, edit, and delete the imported data

  1. After saving the connection, the Shopify connector appears on the Dataflow page. Also, you can see the list of created tables in the Databases section.

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ItemDescription
NameDisplays the name of the Dataflow.
TypeDisplays connector type symbol.
StatusIndicates whether the data is imported successfully.
Tables CountDisplays the number of tables.
Created DateDisplays date of creation.
Updated DateDisplays last modified date.
Last RefreshDisplays the latest refresh date, which updates each time you refresh the data.
Group byOption to view the items in a specific Group (For example, name, type, status).
  1. Select the horizontal ellipsis in the Actions column and do the following:
If you want toThen
Modify the DataflowSelect Edit and modify the Dataflow. Click Save to apply your changes.
Execute the DataflowSelect Run.
Bring the data to its previous stateSelect Rollback.
Delete the DataflowSelect Remove and then click the Delete button. All tables in the data source get deleted.
See the run history of the DataflowSelect Run History.
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In the Dataflow, you can view the error message for data import failures from the data source under Run History > Description.